Aashaq Shah

We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-vocabulary technique, the data itself drives a comprehensive exploration of language that distinguishes people, finding connections that are not captured with traditional closed-vocabulary word-category analyses. Our analyses shed new light on psychosocial processes yielding results that are face valid (e.g., subjects living in high elevations talk about the mountains), tie in with other research (e.g., neurotic people disproportionately use the phrase 'sick of' and the word 'depressed'), suggest new hypotheses (e.g., an active life implies emotional stability), and give detailed insights (males use the possessive 'my' when mentioning their 'wife' or 'girlfriend' more often than females use 'my' with 'husband' or 'boyfriend'). To date, this represents the largest study, by an order of magnitude, of language and personality.

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation M. Z. M. Nomani, Akash Bagh, Shashank Nande, Prateek Mishra, Asif Iqubal Shah, Rajdip Bhadra Chaudhuri; Deciphering the relationship between law and machine learning: An overview. AIP Conf. Proc. 5 January 2024; 3000 (1): 020008. https://doi.org/10.1063/5.0183226 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search

AN Underground Belayed In-Shaft search experiment (ANUBIS) was proposed to search for neutral long-lived particles (LLPs) at CERN's ATLAS underground cavern. A prototype or a proof-of-concept demonstrator detector - proANUBIS was recently installed to prove the feasibility of such an experiment. The prototype demonstrator is expected to play a role in validating simulation studies and providing insights into the anticipated backgrounds for the ANUBIS experiment. The current report provides an overview of the experimental setup for this prototype detector, and its commissioning and installation details.

The paper discusses about the role of supply chain management in bridging the gap between farmers and markets. It majorly highlights the potential of Public Private Partnerships (PPPs) to address various challenges faced by farmers i.e. price volatility, weak market linkages, and a lack of market intelligence. It also discusses about the role of PPPs in enhancing food safety, traceability, and availability of quality produce at reasonable prices. Furthermore, it examines the key factors influencing the success of PPPs in the agricultural sector, emphasizing the importance of effective design and management. Through an analysis of PPP models and their impact on the agricultural supply chain, the paper aims to provide insights into creating sustainable and efficient agriculture supply chains through collaborative efforts between the public and private sectors.

The advent of Industry 4.0, marked by integrating advanced technologies and data-driven processes, has brought about various transformative changes in various sectors of the economy, one such area is agriculture. Agriculture 4.0, this approach combines cutting-edge technologies with traditional farming practices which address challenges in agricultural industry. This paper delves into the current initiatives and technologies like the use of remote sensing, precision agriculture, block chain, artificial intelligence, etc. under the umbrella of Digital Agriculture across the world and nation while analysing their impact on crop yield, resource optimization, market access, and farmer welfare.

AN Underground Belayed In-Shaft search experiment (ANUBIS) was proposed to search for neutral long-lived particles (LLP's) at CERN's ATLAS underground cavern. A prototype or a proof-of-concept demonstrator detector — proANUBIS was recently installed to prove the feasibility of such an experiment. The prototype demonstrator is expected to play a role in validating simulation studies and providing insights into the anticipated backgrounds for the ANUBIS experiment. The current report provides an overview of the experimental setup for this prototype detector, and its commissioning and installation details.

Innovative legal and supply chain complexity solutions include machine learning in legal management and intelligent supply chain governance. Complex laws and supply chains necessitate data-driven initiatives. Effective supply chain governance needs transparency, accountability, and risk management. Complex data-rich legal administration requires machine learning. Legal research, document analysis, and predictive analytics benefit from machine learning. Supply chain governance requires compliance and risk management. Machine learning principles demonstrate lawyers can switch careers. Innovation in legal tech comes from AI, blockchain, and cybersecurity. This novel machine learning strategy for legal and change and training management requires careful planning and implementation.

The ripples of the shift in power in the USA were felt worldwide, not least in international security policy, where the USA has often chosen to be at the forefront throughout history. The country's involvement in most international organizations had changed during the four years with Trump as president, and his mottos “America First” and “Make America Great Again.” The tone and fortunes surrounding NATO changed on January 20, 2021. This chapter has researched the national role conceptions of two American presidents, Donald Trump and Joe Biden, to see how their national role conception of the USA could affect the relationship between the USA and NATO with the help of the national role conception theory employed in this paper. It concludes that the presidents have partly different national role conceptions, with one role being the same and two being different. This chapter also concludes that different national role conceptions could affect the relationship between the USA and NATO.

Proton decay, although unobserved so far, is a natural expectation when attempting to explain the baryon asymmetry of the universe. $p\to K^+\bar{\nu}$ or $p\to K^+\tilde{\chi}_1^0$, with $\tilde{\chi}_1^0$ a light exotic neutral particle, represent possible decay channels achievable in models of physics beyond the Standard Model, such as the MSSM with trilinear R-parity-violating terms, or the Standard Model extended by a heavy neutral lepton. Among the decay products of these modes, the neutral fermions would typically appear as missing energy in collider searches. The present study considers how such decay modes could be differentiated in experimental settings, as the exotic $\tilde{\chi}_1^0$ may further decay if it is not protected by a symmetry (such as R-parity in the MSSM). We assess the detection prospects of the proposed experiments DUNE, JUNO and Hyper-K in this context.

The chapter examines the concept of self-defense in international law and cyber operations, focusing on when a cyber operation escalates to a cyber-attack and justifying a state's right to self-defense. The severity of a cyber operation is crucial, as it distinguishes between operations causing significant harm and those causing only economic damage. The chapter also explores the complexities surrounding the involvement of non-state actors in cyber operations, suggesting the ‘unwilling or unable' doctrine for defensive actions against non-state actors. The legitimacy of self-defense is based on the necessity of the response as a last resort and its proportionality to the threat faced.

While problem solving is a crucial aspect of programming, few learning opportunities in computer science focus on teaching problem-solving skills like planning. In this paper, we present Pyrus, a collaborative game designed to encourage novices to plan in advance while programming. Through Pyrus, we explore a new approach to designing educational games we call behavior-centered game design, in which designers first identify behaviors that learners should practice to reach desired learning goals and then select game mechanics that incentivize those behaviors. Pyrus leverages game mechanics like a failure condition, distributed resources, and enforced turn-taking to encourage players to plan and collaborate. In a within-subjects user study, we found that pairs of novices spent more time planning and collaborated more equally when solving problems in Pyrus than in pair programming. These findings show that game mechanics can be used to promote desirable learning behaviors like planning in advance, and suggest that our behavior-centered approach to educational game design warrants further study.

A single-mask Gas Electron Multiplier (GEM) technique overcomes the cumbersome practice of alignment of two masks and allows the production of foils with very large area as needed for the CMS muon forward region upgrade. However, the holes obtained with refinements in the single-mask technique are asymmetrically bi-conical in shape compared to symmetrically bi-conical holes of double-mask technology. The hole geometry and their uniformity define the performance of the detectors which are constructed with such GEM foils. To evaluate the effect of this asymmetry, the foils have been characterized experimentally using a special prototype with three single-mask GEM foils. The structure allowed to change the orientation of foils, testing from above with foils having a large hole opening, testing from the bottom with all the foils having small hole opening. The effective gain, energy resolution and the charging up behavior are compared for the two different hole orientations.

11545 Background: Desmoid tumors are rare, locally invasive, soft-tissue neoplasms that can cause significant morbidity and frequently recur despite surgery or radiation. The ongoing phase II trial of nirogacestat, a gamma-secretase inhibitor, in patients (pts) with recurrent, refractory desmoid tumors (NCT01981551), has reported disease stabilization and multiple partial responses as assessed by RECIST criteria (Kummar JCO 2017). Herein, we report long-term outcomes, tolerability, and safety of this study. Methods: A total of 17 pts enrolled in this open label, single arm, phase II study, completing accrual in 2014. Pts received 150 mg nirogacestat orally twice a day in continuous 3-week cycles. Objective treatment response was defined by RECIST 1.1 at cycle 1 and every 6 cycles thereafter using CT (affected area) per the primary study objective; optional MRI assessment was concurrently performed. Yearly CT scans of the chest, abdomen, and pelvis were performed on pts starting in 2016. Results: As of Dec. 31, 2021, 4/17 (23%) pts remain on nirogacestat treatment for over 7 years. The objective response rate has not changed since the 2017 publication [31.25% (5/16 evaluable patients), with an exact two-sided Clopper-Pearson 95% confidence interval of 11.0-58.7%], but the observed extended progression-free survival (PFS) is notable; no RECIST disease progression has been observed for any of the 16 evaluable patients at any point on study. Median time on treatment was 4.14 years (range: 0.17-7.99 years). Most common adverse events remain hypophosphatemia (13/17, 76%; 8 grade 3 [gr3], 5 gr2), diarrhea (13/17, 76%; 1 gr3, 4 gr2, 8 gr1), nausea (11/17, 65%; 11 gr1), AST increase (11/17, 65%; 1 gr2, 10 gr1), and lymphopenia (11/17, 65%; 2 gr2, 9 gr1); no pts required a dose reduction after the second year of therapy. Bone fractures (fx) were reported in 4 pts (3 female/1 male) during the first 4 years of treatment (1 hip fx, 1 rib fx, 2 metatarsal stress fxs). Two of these 4 pts experienced a further fx approximately 1 year later (contralateral metatarsal; hip). Both pts with hip fx were > 10 years post-menopausal. Given median age at enrollment (34 years; range: 20-69 years) and reported fx events, bone health was evaluated with findings in keeping with expected range for age. No secondary malignancies have been identified to date. Conclusions: No patients receiving nirogacestat have progressed after a median of more than 4 years of treatment. The long duration of responses and lack of tumor progressions observed in this trial has informed the design of a phase III trial in pts with progressing desmoid tumors (NCT03785964) that is currently underway. Clinical trial information: NCT01981551.

The Gas Electron Multiplier (GEM) detectors has been utilized for various applications due to their excellent spatial resolution, high rate capabilities and flexibility in design. The GEM detectors stand as a promising device to be used in nuclear and particle physics experiments. Many future experiments and upgrades are looking forward to use this technology leading to high demand of GEM foils. Until now, CERN is the only reliable manufacturer and distributor of GEM foils, but with technology transfer, few other industries across the globe have started manufacturing these foils employing the same photo-lithographic technique. The Micropack Pvt. Ltd. is one such industry in India which produced first few 10cm×10cm GEM foils, which were then distributed to few collaborating partners for testing reliability and performance of foils before they can be accepted by the scientific community. Characterization of three such foils have already been performed by studying their optical and electrical properties. Using these foils a triple GEM detector has been built and various performance characteristics have been measured. In this paper, we specifically report measurements on gain, resolution and response uniformity, by utilizing local quality control set-ups existing at University of Delhi.

Total bilirubin values have been used as a potential marker to pre-screen and diagnose various liver-based diseases such as jaundice, bile obstruction, liver cancer, etc. A device known as KromaHealth Kit, composed of paper and an acrylic backbone, is developed to quantify total bilirubin in human serum using image processing and machine learning technology. The biochemical assays are deposited on absorbent paper pads that act as reaction zones when serum is added. A dedicated smartphone app captures images of the colorimetric changes on the pad and converts them into quantitative values of bilirubin. The range of bilirubin concentration that can be quantified using the device ranges from 0.5 mg/dl to 7.0 mg/dl. The precision, limit of detection, interference analysis, linearity, stability, and comparison with a predicate are studied in this paper in accordance with clinical and laboratory standards institute. The results indicate that the KromaHealth Kit can be used as an inexpensive alternative to conventional bilirubin testing in clinical settings. With its level of precision, ease-of-use, long shelf-life, and short turnaround time, it will prove to be invaluable in limited-resource settings.

The increasing demand for Gas Electron Multiplier (GEM) foils has been driven by their application in many current and proposed high-energy physics experiments. Micropack, a Bengaluru-based company, has established and commercialized GEM foils for the first time in India. Micropack used the double-mask etching technique to successfully produce 10 cm × 10 cm GEM foil. In this paper, we report on the development as well as the geometrical and electrical properties of these foils, including the size uniformity of the holes and leakage current measurements. Our characterization studies show that the foils are of good quality and satisfy all the necessary quality control criteria.

India is a country of great cultural heritage and India’s cultural diversity provides plenty of remarkable art and craft products. Handicraft industry uses conventional manual methods instead of advanced technology for making various items. It is an unorganized, decentralized, labour intensive cottage industry. Though handicraft industry employs millions of artisans, It is still miniscule with respect to the global industry. This scenario is changing with the advent of E-commerce initiatives at government as well as at private or individual level. In this paper, an attempt has been made to highlight the role of E-commerce in the development of rural artisans in India by illustrating some efforts of Government and Non-Government agencies, Groups and Individuals in uplifting the socio-economic standard of the rural artisans through E-commerce. Strengths, Weaknesses, Opportunities and Threats/Challenges faced or to be faced by rural handicraft artisans adopting E-commerce have also been analyzed in this paper. Key words: Handicrafts, E-Commerce, Rural Artisans, Rural Development, SWOT Analysis Policy

Handicrafts have a great potential to provide employment opportunities to millions of artisans spread over length and breadth of the country, as most of the artisans have inherent art to be converted in to occupation. Women of Gujarat are very prosperous in the art of ‘Needle and Thread’. Generally they are used to do such work for their domestic use. But now a days, such products are demanded everywhere. They require professional touch as per the requirement of demand of the market. Government tries to uplift the art and artisans through various programmes and policies. Despite of various government and non government efforts, the reality is not satisfactory. The handicraft artisans suffer a lot due to being unorganized, lack of education, low capital, poor exposure to new technologies, absence of market intelligence and a poor institutional framework. Key Words: Problems, Challenges, Artisans, Handicraft Policy

The first prototypes of the production version of the Front-End Driver (FED) card for the CMS silicon strip tracker are about to be manufactured. The FEDs provide the off-detector processing of the tracker readout system. They digitise and zero-suppress the multiplexed analogue optical data sent on each Level-1 trigger from the ondetector APV25 pipeline chips. This paper outlines the design and describes in detail the implementation of the 96 ADC channel, 9U VME64x form factor card. In total, 440 FEDs will be required to readout the silicon strip tracker.

We have developed a novel design of triggering system as part of the pipelined hardware Level-1 trigger logic for the CMS experiment at LHC. The Global Calorimeter Trigger is the last element in the processing of calorimeter data, and provides most of the input to the final Level-1 decision. We present the detailed functional requirements for this system. Our design meets the requirements using generic, configurable Trigger Processing Modules built from commercial programmable logic and high-speed serial data links. We describe the hardware, firmware and software components of this solution. CMS has chosen an alternative solution to build the final trigger system; we discuss the implications of our experiences for future development projects along similar lines.

Autism spectral disorder (ASD) is a developmental disorder that affects communication and social life skills. It is estimated that worldwide about one in 160 children has an ASD. Considering its resemblance to a learning disability, autism can be challenging to the daily life of children especially in the fields of education. In school, autistic kids may not grasp as much as other kids do which hampers their ability to apply the skills they learn in the classroom to real-life situations. In such cases, technology comes as a boon for such children that could assist them in their education. To assist children who are on the autism spectrum, there is a need for assistance in learning in a caring environment that would enable them to grasp concepts. Such children must be given the mimic of the real world. This chapter provides the significance of the impact of machines on the human mind. Various researches are carried out to develop a framework for understanding the mechanisms related to cognition that support human-computer interactions. Some frameworks like virtual reality have been proved instrumental to enable the connection between the mind and the machine. This chapter discusses the implementation of virtual reality and its mechanism to immerse them in the virtual world. Virtual reality becomes more immersive when the sensor extracts data with both the quality and the quantity which proves that perception needs to be data- oriented to increase the human-computer interaction. Our methodology consists of building a virtual environment using A-Frame and neural style transfer. A-Frame is a web framework for building a virtual reality. Based on HTML, A-Frame is not just a 3D scene graph but could also be described as an entity-component-system (ECS) framework. On the other hand, Neural style transfer (NST) is used to blend two images and is therefore an optimization technique where the output image generated is to match the content statistics of the content image and the style statistics of the style reference image. It is based on a pre-trained convolutional neural network and gives 3d touch to the virtual environment. Based on the implementation of such techniques, a special setup in the star topology network could be made to closely observe the change in behavior of autistic kids using the ZigBee Module. It has been observed that the number of transmitting nodes should be minimized to enhance the network performance.

Spinal cord stimulation devices deliver electrical pulses to treat chronic pain. Previous studies looked at the efficacy of open-loop stimulation where pre-programmed parameters may lead to under-stimulation or over-stimulation while recent studies on closed-loop stimulation offer a system based on evoked-compound action potentials to adjust stimulation doses. This review is aimed at identifying clinical indications for open-loop and closed-loop stimulation devices.

Primary headache disorders are among the most common central nervous system disorders accounting for 98% of all headaches. There exists a large unmet need for non-invasive non-pharmacological treatments for patients who have contraindications to or have failed standard therapy. Over the past two decades non-invasive neuromodulation devices with varying mechanisms have been developed to address this need, but little information is available comparing wearable therapeutic regimens. As such, we sought to explore the current landscape of FDA-approved or FDA-cleared neuromodulation devices.

This paper studies learning-based testing (LBT) for reactive systems with different learning algorithms and model checkers. LBT is a technique that requires a learning algorithm to learn the models to generate test cases automatically. We have used the generic methodology of LBT to test reactive systems with two different model inference algorithms (i.e., IKL, DKL) and two different model checking tools (i.e., NuSMV, SAL). To investigate the feasibility of LBT, we integrated our SUTs with these algorithms in LBT and tested if LBT optimizes test generation with these algorithms. We tested our SUTs with Boolean data types to check the difference in the working of model inference and model checking algorithms which we analyzed experimentally. The results show that LBT works better with DKL and SAL. DKL is a recently proposed model inference algorithm, and SAL is the latest model checker on which the research is being carried out. DKL and SAL algorithms explore errors in reactive SUTs with the h LBT framework more quickly and efficiently.

Randomization refers to the process of randomly assigning study subjects to different treatment groups, with the goal of achieving baseline comparability within those tested. This is important because it ensures that study groups contain subjects with similar characteristics; thus preventing selection bias and protecting against accidental bias. Additionally, it allows for the spread of features to be analogous to a random sample from the population. If a study lacks randomization, the experimental and control groups may not be comparable to each other or to the general population, limiting both internal and external validity. This chapter focuses on defining randomization and comparing the different types of fixed and adaptive randomization techniques. It also draws attention to the implications of randomization and provides examples on how to go about randomization based on the study question and subject group.

Employees are placed in various job rotations between two or more tasks or vocations at regular intervals to ensure that they are exposed to all elements of the company. Job rotation is a methodical approach that permits employees to avoid boredom while also allowing them to develop and grow. Both management and personnel objectives are met with this strategy. It aids in the identification of employee potential and abilities. Through job rotation, employees are exposed to all aspects of the company. Employee abilities and competencies are evaluated ahead of time to ensure that the employee is deployed in the best possible position. However, it does permit the pursuit of personal interests while gaining practical knowledge in a variety of industries or processes. The present study was undertaken with an aim to assess the effect of job rotation on the nursing staff in a private hospital of Vadodara.The study was cross-sectional in nature where the perception of the nursing staff was gathered through a structured questionnaire. The questionnaire assessed the perception of the staff on a five point likert scale from strongly agree to strongly disagree. The sample size of the study was 126. Mann Whitney Test and Kruskal Wallis test was used to assess the effect of job rotation with respect to gender and age, years of experience respectively. The statistical analysis was undertaken at 95% confidence level with statistical significance at a p value of less than 0.05.The results depicted that there was no difference in the perception towards effect of job rotation with respect to gender and age group. However, with respect to job rotation not interrupting the employees' work life and no effect on personal life, there was statistical significant difference with respect to the years of experience of the nursing staff as the p value was less than 0.05.Job rotation, in their opinion, causes frequent interruptions in both the job and personal life of those who participate in it. The nurses working in the hospital came up with appropriate job rotation ideas that took into consideration their age and years of experience. It appears that most of the criteria indicate that the nursing staff members were satisfied with their job rotation, which lends support to the findings of the study.

Physical adversarial attacks on road signs are continuously exploiting vulnerabilities in modern day autonomous vehicles (AVs) and impeding their ability to correctly classify what type of road sign they encounter. Current models cannot generalize input data well, resulting in overfitting or underfitting. In overfitting, the model memorizes the input data but cannot generalize to new scenarios. In underfitting, the model does not learn enough of the input data to accurately classify these road signs. This paper explores the resilience of autonomous driving systems against three main physical adversarial attacks (tape, graffiti, illumination), specifically targeting object classifiers. Several machine learning models were developed and evaluated on two distinct datasets: road signs (stop signs, speed limit signs, traffic lights, and pedestrian crosswalk signs) and geometric shapes (octagons, circles, squares, and triangles). The study compared algorithm performance under different conditions, including clean and adversarial training and testing on these datasets. To build robustness against attacks, defense techniques like adversarial training and transfer learning were implemented. Results demonstrated transfer learning models played a crucial role in performance by allowing knowledge gained from shape training to improve generalizability of road sign classification, despite the datasets being completely different. The paper suggests future research directions, including human-in-the-loop validation, security analysis, real-world testing, and explainable AI for transparency. This study aims to contribute to improving security and robustness of object classifiers in autonomous vehicles and mitigating adversarial example impacts on driving systems.

Beta-thalassemia is a hemoglobinopathy caused by mutations in the beta-globin chain. This disrupts hemoglobin production and can potentially result in severe anemia. There has been a rise in COVID-19 cases over the last 2 years, with a predominant effect on the respiratory and vascular systems of the body. Since beta-thalassemia is the most common inherited single-gene disorder in the world, investigating the impact of COVID-19 on these patients is important. Some theories suggest that patients with beta-thalassemia will be more susceptible to COVID-19 and have worse outcomes due to their underlying comorbid conditions. However, majority of the literature found that beta-thalassemia is protective against COVID-19. This could be because SARS-CoV-2 proteins can attack the beta chain of normal hemoglobin, resulting in impaired oxygen transfer and increased ferritinemia. Thus, in hemoglobinopathies with beta-chain defects and low hepcidin levels, susceptibility to COVID-19 infection is potentially decreased. Higher levels of Hemoglobin F in thalassemia patients may also be protective against viral infections. Surprisingly, most studies and case reports focus on patients with beta-thalassemia major. There is yet much to learn about the outcomes of patients with thalassemia minor and other hemoglobinopathies.

While there exists a substantial body of research focused on the simplification of sentences, research looking for ways to increase sentence complexity is apparently lacking. Understanding the intricacies of complex sentence structure, our research focuses on exploring the principality of sentence restructuring using user-controlled difficulty to enhance language learning and comprehension. By leveraging the WordNet dataset, Google Ngram Viewer, Lesk algorithm and Sentence Transformers, we propose a novel approach that provides users with a personalized restructured sentence. Considering the needs for students willing to pursue higher education, professional, linguistic and cognitive development, a model which helps increase sentence complexity will be fruitful for the users. This will enable users to express themselves more precisely and also develop stronger writing skills for their academic success. The model provided can also benefit individuals with diverse linguistic backgrounds which can aid in cultural exchange and understanding. Thus, to contribute to a deeper understanding to sentence structure, and fostering Natural Language Processing advancements, our research paper paves the way for future innovations in personalized language learning models.

The yield of methanol is heavily influenced by the composition of the syngas which varies from waste type and gasification conditions. In this study, machine learning model is developed to accurately predict the syngas composition which is then utilized for methanol production and economic assessment. Among the different machine learning models, gradient boosting regression achieved remarkable accuracy in predicting carbon monoxide and carbon dioxide, while artificial neural network excelled in predicting nitrogen and hydrogen based on the coefficient of determination (>0.95). The local and global feature importance analysis demonstrated the gasification agent type as the most important feature. Steam gasification of waste sawdust, straw, and wood chips showed the highest methanol yield. Economic analysis showed that the lowest levelized cost of methanol (LCMeOH) to be 1195.79 USD/MT which further decreased to 933.97 USD/MT upon hydrogen addition. Uncertainty analysis using Monte Carlo method showed the possible minimum LCMeOH to be 254.05 USD/MT. The uncertainty in the price of the electricity caused a wider variability in LCMeOH. This study provides a comprehensive picture on the economic viability of waste to methanol production and provides an important reference for stakeholders on a global scale to quickly assess the feasibility of waste-to-energy projects.

Menorrhagia--technically defined as menses lasting longer than 7 days or a blood loss volume in excess of 60 to 80 mL--is one of the most common gynecologic complaints. It has been reported that 15% to 20% of otherwise healthy women experience debilitating menorrhagia. In the past, definitive treatment for abnormal uterine bleeding has been either abdominal or vaginal hysterectomy. Alternatives to hysterectomy are now stressed in light of the fact that nearly 50% of uterine specimens obtained during hysterectomies for menorrhagia are disease-free on pathologic examination. Etiologies are generally either endocrinologic or organic. Among the organic causes are coagulation disorders; organ dysfunction, such as liver or renal disease; endometrial hyperplasia; infection; iatrogenic causes, such as chemotherapy, anticoagulants, steroid therapy, and use of IUD; and anatomic causes, which include uterine leiomyoma, endometrial polyps, and pregnancy. Besides the history and physical exam, useful lab tests include CBC, serum pregnancy test, cervical specimens for gonorrhea and chlamydia, Pap smear, thyroid function tests, serum transaminases, luteinizing hormone, follicle-stimulating hormone, estradiol, prothrombin time, activated partial thromboplastin time, bleeding time, serum prolactin, quantitative beta human chorionic gonadotropin, blood urea nitrogen, serum creatinine, and adrenal function tests. Since many lesions are missed in office sampling or dilation and curettage, imaging studies, including ultrasound and hysteroscopy, can be useful in diagnosing the cause of menorrhagia. Medical treatments include drugs such as NSAIDS, progestins, oral contraceptives, and gonadotropin-releasing hormone agonists. Surgical modalities range from the relatively simple, such as D & C, to major surgical procedures such as hysterectomy. Laser ablation and thermal balloon ablation are promising new procedures.

The CMS experiment at LHC will upgrade its forward muon spectrometer by incorporating Triple-GEM detectors. This upgrade referred to as GEM Endcap (GE1/1), consists of adding two back-to-back Triple-GEM detectors in front of the existing Cathode Strip Chambers (CSC) in the innermost ring of the endcap muon spectrometer. Before the full installation of 144 detectors in 2019–2020, CMS will first install ten single chamber prototypes during the early 2017. This pre-installation is referred as the slice test. These ten detectors will be read-out by VFAT2 chips [1]. On-detector there is also a FPGA mezzanine card which sends VFAT2 data optically to the μTCA back-end electronics. The correct and safe operation of the GEM system requires a sophisticated and powerful online Detector Control System, able to monitor and control many heterogeneous hardware devices. The DCS system developed for the slice test has been tested with CMS Triple-GEM detectors in the laboratory. In this paper we describe the newly developed DCS system and present the first results obtained in the GEM assembly and quality assurance laboratory.

Objective: The present study was aimed at assessing and comparing grass species composition and biomass productivity along fenced and unfenced grazing gradient. Methods:For each study area 2 × 1000 m transects radiating from the water points (borehole) were used and sampling plots of size a total of 15 quadrants of size 1 m 2 were systematically placed along each transect at intervals of 50 m for the first 500 m and the last 500 m the spacing interval was increased by 100 m.The total biomass of the selected plots was clipped, weighed; oven dried at 65˚C for 48 h and weight again in order to express the weight by dry matter. Results:The grazing gradient in fenced area exhibited the highest dry matter biomass (P<0.05) for the grass species at 644.7 g/m 2 ) as compared to the unfenced area at 155.9 g/m 2 .High-value species (341 g/m 2 ) significantly dominated the dry matter biomass composition in the fenced gradients while in the unfenced it was dominated by medium value species (66.8 g/m 2 ).Despite the fluctuation of biomass from one interval to another, logarithmic trend line estimations suggested an increasing plant biomass relative to the distance from the water point in both grazing gradients.Areas of high biomass were demonstrated at 900 m in both fenced (915 g/m 2 ) and unfenced (433 g/m 2 ) gradients.Dry matter biomass declined in areas close to and furthest from the watering points.The high biomass of the intermediate grass species dominated by E. rigidior suggests that it was highly unutilized. Conclusions:Our findings indicate that dry matter biomass productivity of fenced gradients was higher as compared to that of unfenced grazing area.Dry matter biomass in fenced was mainly composed of high value species especially U. trichopus Meanwhile E. rigidior mid value species contributed the largest share to the biomass in the unfenced gradient.

Published evidence-based guidelines help healthcare providers identify appropriate individuals for BRCA1/2 genetic testing. Health plans often use these guidelines to help make coverage and reimbursement decisions. Humana, a major health plan, launched the Humana Genetic Guidance Program to further facilitate the appropriate use of genetic testing through education. Aim: Identify opportunities to improve medical appropriateness for BRCA1/2 test requests by providing genetic education to providers. Materials &amp; methods: BRCA1/2 insurance preauthorization requests submitted to the program were evaluated against guideline-based coverage criteria. Results: In total, 22% of the requests did not meet criteria, and in approximately a quarter of those requests, the clinical history suggested testing for a different cancer syndrome or another affected relative. Conclusion: This report demonstrates the program’s effectiveness and illustrates the need for additional provider education regarding genetic testing from a payer’s perspective.

Growth…Development…Progress…- These seem very attractive and rosy words, which attract us a lot. India has started progressing by leaps and bounds. With the massive change in the economic policy of Liberalization, Privatization and Globalization in 1991, India has moved on the path towards modernization, urbanization, industrialization and great technical and professional advancement. Youth of India today is found crazy behind fulfilling their dreams and desires through this path. Tremendous growth of private sector enterprises is observed in our country. A number of educated youth are employed in these sectors. Physical growth, material prosperity, luxurious life style and urban habitation are considered only as a synonym of success. And hence our education system has become exam oriented and competition oriented only. Will it lead our nation towards the true ‘Swaraj’ dreamed by Mahatma Gandhi? Obviously not. According to Gandhi “Education should be so revolutionized as to answer the wants of the poorest villager, instead of answering those of an imperial exploiter. India’s way is not Europe’s, and India lives in seven hundred thousand villages.” The dilemma of rural management education is between explicit value orientation towards the betterment of the poor and the value neutral optimization approach of conventional management education. In most of the cases, the situation of the students of rural management is very strange and full of dilemma. In their education, theories of rural development are discussed but the reality is quite different. Management education is provided through the books and case studies keeping in view the management principles and theories developed in foreign countries. They are given examples of corporate world and large scale industries. Sometimes practical application of such knowledge into real rural life is not possible. Thus, the students feel gap between the knowledge they gain and their practical life. Gradually, the direction of their thinking starts changing.

Eighty patients of bone and joint tuberculosis were diagnosed and treated at DHQ Teaching Hospital, Abbottabad from August, 1987 to December, 1990. Majority of them were children and young adults. There were more females (57.5%) than males (42.5%). A major fraction of the cases were Afghan refugees. Most of the patients were malnourished and belonged to low socioeconomic class.

While prior work has shown that pair programming is successful in helping students develop confidence and produce better programs, research in collaboration and computing education suggests that it could be designed more effectively as a pedagogical tool. In this paper we present Pyrus, a collaborative programming game that explicitly scaffolds for behaviors linked to developing programming problem-solving skills. We evaluated Pyrus by comparing the amount of planning and verbal explanation demonstrated by pairs of programmers who worked on programming challenges in Pyrus and traditional pair programming. Our results suggest that Pyrus may more reliably support planning than traditional pair programming.

High Energy Physics experiments are currently entering a new era which requires the operation of gaseous particle detectors at unprecedented high rates and integrated particle fluxes. Gas Electron Multiplier (GEM) introduced in 1997, constitutes a powerful addition to the family of fast radiation detectors. They allow to achieve both excellent localization accuracy and high rate capability that make this technology attractive for charged particle tracking at high luminosity colliders. Improvements in the performance of the GEM detectors were achieved by stacking more than one GEM foil inside the detector. A summary of the studies performed on $$10\,\mathrm{cm} \times 10\,\mathrm{cm}$$ Triple GEM detector and its performance is presented. We also report on performance of the $$100\,\mathrm{cm} \times 45\,\mathrm{cm} \times 22\,\mathrm{cm}$$ GEM detector such as GEM foil leakage currents, high voltage circuit performance, and effective gain. Along with that we describe some studies related to gas purity using Gas Chromatograph.

The aim of current research was to develop a water-in-oil emulsion containing grape seed extract for application in cosmeceuticals. Finally grinded dried grape seeds powder was extracted with hydro alcoholic mixture. Emulsions consisting of different concentrations of cetyl dimethicone (Abile EM90), the nonionic emulsifier, liquid paraffin as oily phase and water as aqueous phase were developed. Color, odor, pH, viscosity, liquefaction, phase separation, centrifugation and thermal stability of the formulated emulsions were observed at various storage temperatures i.e. 8±0.5°C, 25±0.5°C, 40±0.5°C and 40°C±0.5°C with 70% RH. The stable formulation consist of 16% mineral oil, 4% of ABIL EM 90(®), 4% grape seeds extract, 1% rose oil and 75% distilled water. All the results derived from this study showed good stability over the three months study period which indicates w/o emulsion can be used as carrier of 4% grape seeds extract to enhance desired effects when applied topically.

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation S. Vinoth Rathan, Aashaq Hussain Shah, G. Govindaraj; Ac Conductivity and Electrical Relaxation in ion conducting Li4Nb1−x Zn2.5xP3O12 glasses. AIP Conf. Proc. 15 July 2011; 1349 (1): 1031–1032. https://doi.org/10.1063/1.3606213 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search

This paper presents an evaluation of the proposed LVDS serial data transmission scheme for the ATLAS level-1 calorimeter trigger. Approximately 7000 high-bandwidth links are required to carry data into the level-1 algorithmic processors from the Preprocessor crates. National Semiconductor’s Bus LVDS serialiser/deserialiser chipsets offer low power consumption at low cost and synchronous data transmission with minimal latency. Test systems have been built to measure real-time bit-error rates using pseudo-random binary sequences. Results show that acceptable error rates better than 10 13 per link can be achieved through compact cable connector assemblies over distances up to 20 m.

The CMS muon group is investigating the possibility of enhancing muon tracking and triggering capabilities in the region 1.6 $$|$$ $$\eta $$ $$|$$ 2.18 of the CMS experiment at the LHC by instrumenting the end-cap muon system with large-area tipple GEM detectors. These GE1/1 detectors are considered as an important technology for High-Luminosity phase of the LHC and contain a triple-GEM with a 3/1/2/1 mm drift/transfer-1/transfer-2/induction field gap configuration and the active readoutReadout area of 0.345/0.409 m $$\times $$ m for the short/long chambers. We describe a novel assembly procedure of such detectors at LHC.

We summarise the recent results on neutral heavy Higgs searches in the di-bosonDi-boson final state using 13 TeV data set collected by the CMS in 2015 and 2016. The search mainly targets for a scalar search where gluon-fusion and vector boson fusionVector boson fusion (VBF) production hypothesis are considered. Search strategy covers a mass range from few hundred Gev to TeV level by testing narrow and wide-width hypotheses.

CMS GEMGas Electron Multiplier (GEM) collaboration is planning to upgrade its GE1/1 station of end cap using GEM detectors to improve spatial and timing resolution for its high luminosityHigh luminosity phase. The GEM detectors will be assembled and subjected to series of quality control (QC) tests before they will be finally used in CMS. Among the various quality control (QC) tests, gas leak test is very important for the GEM detectors to qualify their use in CMS. We describe in detail design and construction of gas leakageGas Leakage Station setup primarily using electronic and pneumatic components. The setup measures pressure drop in the detector using a gauge pressure sensor interfaced with PC through Arduino board.

India is a country of traditional art and amazing crafts. Most of such handicrafts are inherent in artisans and are passed by generations to generations. The artisans are the true preservers of this wealth who are blessed with intrinsic art and god gifted skills. Despite their great contribution towards heritage and economy, the quality of their life is a burning question today. These artists are the priceless “Heirs of Handicrafts” who are to be taken care of and promoted with due considerations and inspiring environment. Therefore, this paper focuses on socio-economic condition of rural handicraft artisans and suggests appropriate measures to promote, revive and preserve various handicrafts of Surenderanagar district. Key Words: Handicrafts, Rural Artisans, Socio-Economic Condition, Hereditary Skills, Languishing Crafts, Suggestive Promotional Measures Policy

t Not for use on premature infants, patients with known sensitivity to CHG.Safety and effectiveness in children under 16 years of age has not been established.

Background and Purpose: Many innovations are constantly emerging with the advances in modern medicine and also it is occurring in various traditional medicines as they are considered to be safe and economical in current increasing health care financial burden. Due to emerging of MDR (multiple drug resistance) microorganisms and reduce efficacy of Modern medicines researchers and clinicians are required to revisit the traditional and alternative medicines.&#x0D; Material and Method: Extracts of garlic (Allium sativum), turmeric (Curcuma longa), amla (Emblica officinalis) and honey were prepared at concentration of 1mg/mL, 2mg/mL, 3mg/mL and were tested on different cancdidal species like Candida Albicans, Candida tropicalis, Candida glabrata, Candida Parapsilosis and Candida Krusei and on Fluconazole as a positive control. Disc Diffusion Test for antifungal assay was performed.&#x0D; Results: The anti-fungal effect was maximum at 3mg/mL concentration for all the herbal extracts. Zone of inhibition for fluconazole, was highest (35.00 ± 1.73). Among herbal extracts zone of inhibition for garlic was maximum (16.67 ± 0.88), followed by turmeric (12.67 ± 1.20), honey (11.00 ± 0.58 ), amla (9.33 ± 0.67 ). Similarly for each dose, comparing the mean zone of inhibition between antifungal groups Tukey test showed significantly (p&lt;0.001) different and lower zone of inhibition in herbal extracts (garlic, turmeric, honey and amla) as compared to fluconazole at all the doses.&#x0D; Conclusion: Among all the extracts garlic showed maximum efficiency. Also, the results obtained for herbal extracts showed that they were less efficient compared to fluconazole which was used as positive control.

ABSTRACT: Transurethral fulguration of neonatal posterior urethral valves (PUV) is often not possible in many centers in India due to the lack of adequately small cysto-urethroscopes. We have avoided urinary diversion in one neonate by fulgurating the valve transvesically using a 14F resectoscope.