nils-herrmann/clean_scirepeval huggingface dataset:
Speed Sensorless Vector Control of Induction Motors Using Rotor Flux based Model Reference Adaptive System

Vector Control (VC) schemes are increasingly used in Induction Motor (IM) drive systems to obtain high performance. However, in order to implement the vector control technique, the induction motor speed information is required. Different speed sensors are used to detect the speed. But in most applications, speed sensors have several problems. These problems are eliminated by speed estimation by using different speed estimation algorithms. Out of which, Model Reference Adaptive System (MRAS) techniques are one of the popular methods to estimate the rotor speed due to its good performance and simplicity. In this paper, the induction motor with Rotor Flux based Model Reference Adaptive System (RF MRAS) rotor speed estimator is designed and validated through MATLAB/SIMULINK software package. The results of simulations show that the performance of the speed estimation is very good under different operation conditions.
PLL based Rotor Flux Estimation Method for Sensorless Vector Controlled Squirrel Cage Induction Generators

This paper presents a new rotor flux estimation method for sensorless vector controlled squirrel cage induction generators used in wind power applications. The proposed method is based on a phase locked loop (PLL) and the orthogonality between the rotor flux space vector and its back electromotive force (EMF) space vector. Rotor flux is estimated using stator voltage equations without integrating the back EMF components in the stationary reference frame and the well known difficulties with the implementation of pure integrators are thus avoided. Moreover, the proposed method ensures successful magnetization of a speed sensorless squirrel cage induction generator at nonzero speeds which makes it suitable for wind power applications. Experimental results on a 560 kW squirrel cage induction generator are presented to confirm the effectiveness and the feasibility of the proposed method.
Closed loop rotor flux estimation in vector controlled induction motor drives operated at low switching frequencies
Venue: 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

Position sensorless vector control drives in the rotor flux oriented reference frame require precise estimation of rotor flux. A few open loop rotor flux estimation methods are quite popular. However, the performance of these estimators is quite poor when the inverter switching frequency is quite low as in case of high power drives or when the ratio of switching frequency to maximum fundamental frequency is low as in case of high speed drives. This paper investigates an alternative approach of closed loop rotor flux estimation for motor drives operated at low switching frequencies. This method is shown to be accurate in estimating the rotor flux, and thereby, ensuring good performance of the vector controlled drive at low as well as high speeds. Experimental results are presented on a 3.7 kW, 400 V, 50 Hz, vector controlled induction drive, switched at a frequency of 500 Hz.
Efficient Ni Mo hydrodesulfurization catalyst prepared through Keggin polyoxometalate

NiMo/SiO2 hydrodesulfurization catalyst prepared through the polyoxometalate route using Keggin type phosphomolybdates has high activity in HDS of thiophene at 350 400 degC and 1 bar pressure. The NiMo/SiO2 pre catalyst retains intact Keggin structure of phosphomolybdic polyoxometalate, which transforms on stream into a NiMo sulfidic active phase. The pre catalyst also possesses Bronsted and Lewis acidity, which is lost during the HDS reaction. This catalyst undergoes faster sulfidation and shows higher thiophene conversion and higher butene selectivity than conventional industrial NiMo/Al2O3 catalyst with similar Mo loading. The polyoxometalate catalyst preparation route is therefore considered to be a performance enhancement methodology for HDS catalysis.
Visualizing and interacting with large volume biodiversity data using client server web mapping applications: The design and implementation of antmaps.org
Venue: Ecol. Informatics

The rise of informatics has presented new opportunities for analyzing, visualizing, and interacting with data across the sciences, and biodiversity science is no exception. Recently, comprehensive datasets on the geographic distributions of species have been assembled that represent a thorough accounting of a given taxonomic group of species (e.g. birds, mammals, etc. and which form critical tools for both basic biology and conservation. However, these databases present several challenges for visualization, interaction, and participation for users across a broad range of scientists and the public. In support of the development of a new comprehensive ant biodiversity database containing over 1.7 million records, we developed a new client server web mapping application, antmaps.org to visualize and interact with the geographic distributions of all 15,050 ant species and aggregate patterns of their diversity and biogeography. Our application development approach was based on user centered design principles of usability engineering, human computer interaction, and cartography. The resulting application is highly focused on providing efficient and intuitive access to geographic biodiversity data using a client server interaction that allows users to query and retrieve data on the fly. This is achieved with a backend solution to efficiently work with large volumes of geospatial data. The usability and utility of the final version of the application was measured based on effectiveness, efficiency and user satisfaction, and assessed using questionnaires, usability lab studies and surveys. While the development of antmaps.org was motivated by a particular ant biodiversity dataset, the basic framework, design, and functionality are not specific to ants and could be used to interact with biodiversity data of any taxonomic group.
Mobile Learning Game Authoring Tools: Assessment, Synthesis and Proposals
Venue: GALA

Mobile Learning Games (MLGs) show great potential for increasing engagement, creativity and authentic learning. Yet, despite their great potential for education, the use of MLGs by teachers, remains limited. This is partly due to the fact that MLGs are often designed to match a specific learning context, and thus cannot be reusable for other contexts. Therefore, researchers have recently designed various types of MLG authoring tools. However, these authoring tools are not always adapted to non computer scientists or non game designers. Hence, we propose in this paper to focus on five existing MLG authoring tools, in order to assess their features and usability with the help of five teachers, who are used to organizing educational field trips. In the second part of this paper, we present an approach for designing a MLG authoring tool, based on the lacks identified through the analysis, and tailored to the teachers' different profiles and needs.
Family Focused Therapy for Bipolar Disorder: Reflections on 30 Years of Research.
Venue: Family process

Family focused therapy (FFT) is an evidence based intervention for adults and children with bipolar disorder (BD) and their caregivers, usually given in conjunction with pharmacotherapy after an illness episode. The treatment consists of conjoint sessions of psychoeducation regarding bipolar illness, communication enhancement training, and problem solving skills training. This paper summarizes over 30 years of research on FFT and family processes in BD. Across eight randomized controlled trials with adults and adolescents with BD, FFT and mood stabilizing medications have been found to hasten recovery from mood episodes, reduce recurrences, and reduce levels of symptom severity compared to briefer forms of psychoeducation and medications over 1 2 years. Several studies indicate that the effects of FFT on symptom improvement are greater among patients with high expressed emotion relatives. New research focuses on FFT as an early intervention for youth at risk for BD, neuroimaging as a means of evaluating treatment mechanisms, and progress in implementing FFT in community mental health settings.
'Circuit breaking' the anxiety: Experiences of group music therapy during supported post meal time for adults with anorexia nervosa

Mealtimes are associated with feelings of anxiety and distress for people with anorexia nervosa. There is little research into specific therapeutic activities for reducing meal related anxiety. The study reported here assessed the efficacy of post meal music therapy in 18 adults with anorexia nervosa in hospital. We report here the qualitative data. Participants described music therapy as a way to take their mind off the meal they had eaten, get a break from anxiety and get to know other people. Music therapy offered an alternative distress tolerance technique during a time of heightened anxiety. This study provides support for the use of music therapy in managing post meal related anxiety for consumers with anorexia nervosa.
Improving the post meal experience of hospitalised patients with eating disorders using visuospatial, verbal and somatic activities
Venue: Journal of eating disorders

BackgroundThis study compares the effects of different cognitive tasks on post meal negative affect, positive affect, intrusive thoughts and intrusive images of hospitalised patients with eating disorders.MethodsTwenty five participants were recruited from an eating disorder service. Using a within subjects design, participants performed one of the following tasks for 15 min: the game 'Tetris' (visuospatial) a general knowledge 'Quiz' (verbal) 'Braille' translation (somatic) and 'Sitting Quietly' (control) In total, participants completed each task on three occasions.ResultsThe visuospatial, verbal and somatic tasks had beneficial effects on all positive and negative indicators, when compared with 'Sitting Quietly' Visuospatial and somatic tasks were more effective at reducing intrusive imagery than the verbal task.ConclusionsThe results suggest that certain engaging activities can help hospitalised patients with eating disorders manage the difficult post meal period.
Blunting post meal glucose surges in people with diabetes.
Venue: World journal of diabetes

Worldwide, the morbidity and mortality associated with non communicable diseases have been climbing steadily with costs aggressively keeping pace. This letter highlights a decidedly low cost way to address the challenges posed by diabetes. High levels of postprandial blood glucose are disproportionately linked to much of the microvascular damage which, in the end, leads to macrovascular complications and organ failures. Systematically controlling post meal glucose surges is a critical element of overall glycemic management in diabetes. Diet, exercise and medications form a triad of variables that individuals engaged in diabetes self management may manipulate to achieve their targeted glucose levels. As a rule, diabetes patients in developing countries as well as those living in the pockets of poverty in the western world cannot afford special diets, medications, glucometers and supplies, lab tests and office visits. Exercise is the one option that is readily accessible to all. Decades of research in laboratory settings, viewed holistically, have established that light to moderate aerobic exercise for up to 60 min starting 30 min after the first bite into a meal can blunt the ensuing glucose surge effectively. Moderate resistance exercise, moderate endurance exercise or a combination of the two, practiced post meal has also been found to improve many cardio metabolic markers: Glucose, high density lipoprotein, triglycerides, and markers of oxidative stress. On the other hand, pre breakfast exercise and high intensity exercise in general have been decidedly counterproductive.
Recommender System for Acyclic Graph Generation in Multi agent Assembly Line Planning

Any assembly line planning (ALP) problem requires the knowledge of multitude of planners and is therefore the interface between the product oriented and process oriented planning process. The assembly line planning process (i.e. assembly task definition, time analysis, product oriented assembly task sequencing, assembly line balancing and assembly line sequencing and scheduling) can be associated as the gateway between the fuzzy front end and the fuzzy back end of the innovation process. As ALP can be solved using solution search approaches, the formalization of the required information is the key to be able find at least a feasible, preferably a satisfying at most optimal solution. The input to solve the ALP are optimization objective(s) a precedence graph and further restrictions to consider. As decision making problems are widely researched, the collaboration for the precedence graph and the restriction modeling is regarded for the ALP. As the Collaborative Precedence and Constraint Modeling (CPCM) has also to meet the requirements of the solution method. In this case genetic algorithms (GA) is used for finding solution to the problem. The used algorithm for solution search is fast and state of the art, but also requires uniform input data. Hence, only an acyclic precedence and constraint digraph is computable in an adequate way. As soon multiple planners work jointly together within a virtual environment, only locking or conflict resolution approaches are offered to generate a computable precedence and constraint model for the solving an ALP using GA. As locking is a practical way from the technical point of view, it does not meet the requirements of the planners to model relevant precedence and constraint relations of the regarded elements (tasks, stations, resources and line segments) As a result a recommender system for transforming a cyclic digraph to an acyclic digraph and promoting solution improvements are presented based on network structure metrics of precedence, constraint and solution graph.
Argumentation Conspiracy and the Moon A Rhetorical Pragmatic Analysis

In what probably amounts to the first scholarly inquiry into Conspiracy Theories (henceforth CTs) Richard Hofstadter (1964) describes in detail a particular way of making sense of the political world he refers to as the 'paranoid style' and provides several examples of such style while broadly defining its features. Hofstadter's pioneering work has subsequently been discussed and expanded mainly in relation to (i) the epistemological problems CTs pose and (ii) their problematic status within civil societies and what should/could be done to weaken or cancel their impact. In this chapter we address the first set of issues related to the epistemological shortcomings of CTs by examining their argumentative features and by conducting a hybrid rhetorical pragmatic analysis. Our approach to argumentation is founded on the idea that argumentation is, on the discursive level, the manifestation of what reasoning is on the cognitive level. As a discursive phenomenon, argumentation ideally lends itself to a discourse analytical approach: indeed, arguments and standpoints are speech acts which are articulated together in specific ways by speakers, and which are uttered to ideally fulfil the communicative function of convincing or persuading addressee(s) Our proposal seeks to gain insights on how these are articulated, in what ways, and to what ends. The framework presented here is therefore a discursive one, as it seeks to account for the reality of argumentative moves performed by speakers and its consequences for/in communication. As such, its first purpose is to provide a thorough description of the nature and structure of argumentation as it can be found in discourse. Studying a discursive object from an empirical perspective which takes into account its embeddedness in a communicative situation is common practice in discourse analytical approaches. The second
Conspiracy and bias: argumentative features and persuasiveness of conspiracy theories

This paper deals with the argumentative biases conspiracy theories typically suffer from and pursues two goals: (i) it seeks to identify recurring argumentative and rhetorical features of conspiracy theories, which translates into an attempt to elaborate their argumentation profile (see Hansen 2013) (ii) it provides a cognitively grounded account of conspiracy theories in terms of their persuasiveness, thus formulating clear hypotheses meant to explain their rhetorical appeal.
An Effective Task Scheduling Approach for Cloud Computing Environment

Cloud computing is one of the fastest growing technologies which delivers online services to a consumer on pay per use basis. Recently, the concept of multi cloud environment has been evolved in the recent years in which workloads are distributed among the data centers of multiple clouds. However, task scheduling in a multi cloud environment is more challenging as the resources of the data centers belonged to the clouds are heterogeneous in nature. In this paper, we propose an efficient task scheduling algorithm for multi cloud environment. We perform extensive simulation of the proposed algorithm on benchmark data and compare the results with the existing algorithms. We show that the algorithm performs better than the existing algorithms in terms of make span and resource utilization.
SLA based task scheduling algorithms for heterogeneous multi cloud environment
Venue: The Journal of Supercomputing

Service level agreement (SLA) is a major issue in cloud computing because it defines important parameters such as quality of service, uptime, downtime, period of service, pricing, and security. However, the service may vary from one cloud service provider (CSP) to another. The collaboration of the CSPs in the heterogeneous multi cloud environment is very challenging, and it is not well covered in the recent literatures. In this paper, we present two SLA based task scheduling algorithms, namely SLA MCT and SLA Min Min for heterogeneous multi cloud environment. The former algorithm is a single phase scheduling, whereas the latter one is a two phase scheduling. The proposed algorithms support three levels of SLA determined by the customers. Furthermore, the algorithms incorporate the SLA gain cost for the successful completion of the service and SLA violation cost for the unsuccessful end of the service. We simulate the proposed algorithms using benchmark and synthetic datasets. The experimental results of the proposed SLA MCT are compared with three single phase task scheduling algorithms, namely CLS, Execution MCT, and Profit MCT, and the results of the proposed SLA Min Min are compared with two phase scheduling algorithms, namely Execution Min Min and Profit Min Min in terms of four performance metrics, namely makespan, average cloud utilization, gain, and penalty cost of the services. The results clearly show that the proposed algorithms properly balance between makespan and gain cost of the services in comparison with other algorithms.
Study Of Serum Sodium And Potassium Level In Patients With Alcoholic Liver Disease Attending Jorhat Medical College Hospital A Hospital Based Study.

Hyponatremia is a common finding in approximately 57% of hospitalized patients with chronic liver disease and in 40% of outpatients with liver disease. Chronic alcoholic patients experience low blood concentrations of key electrolytes and severe alterations in the body's acid base balance. Aim of the study is to evaluate serum sodium and potassium levels in patients with alcoholic liver disease attending JMCH. The study design is hospital based case control study. For the study 40 no of cases are selected on the basis of clinical history. Forty no of apparently healthy age and sex matched individuals have been taken from normal population as control group. Liver function test, serum sodium and potassium are done on vitros 250 auto analyser based on principle of reflectance spectroscopy. After evaluation, hyponatremia is found among the cases to be statistically significant. The serum potassium level is also mildly decreased, but not significant.
A fabric regulated soft robotic glove with user intent detection using EMG and RFID for hand assistive application
Venue: 2016 IEEE International Conference on Robotics and Automation (ICRA)

This paper presents a soft robotic glove designed to assist individuals with functional grasp pathologies in performing activities of daily living. The glove utilizes soft fabric regulated pneumatic actuators that are low profile and require lower pressure than previously developed actuators. They are able to support fingers and thumb motions during hand closure. Upon pressurization, the actuators are able to generate sufficient force to assist in hand closing and grasping during different manipulation tasks. In this work, experiments were conducted to evaluate the performances of the actuators as well as the glove in terms of its kinetic and kinematic assistance on a healthy participant. Additionally, surface electromyography and radio frequency identification techniques were adopted to detect user intent to activate or deactivate the glove. Lastly, we present preliminary results of a healthy participant performing different manipulation tasks with the soft robotic glove controlled by surface electromyography and radio frequency identification techniques.
EFFECT OF NITROGEN, BIO FERTILIZER AND FARM YARD MANURE ON YIELD AND NUTRIENT UPTAKE IN OAT (AVENA SATIVA L.

Oat (Avena sativa L. is the most important fodder crop of winter season as it is having high tonnage, good palatability and high nutritive value. Oat is used as green fodder, straw, hay or silage. Oat grain makes a good balanced concentrate in the rations for poultry, cattle, sheep and other animals. Green fodder contains about 10 12 protein and 30 35 dry matter and supply abundant quantity of vitamin A and important minerals like Ca and Fe in addition to energy for the animals. Oat has wider adaptability because of its excellent growth habits, quick regrowth, better yield potential and provides palatable, succulent and nutritious green fodder (Singh et al. 1989)
Practices for Improving Secondary School Climate: A Systematic Review of the Research Literature.
Venue: American journal of community psychology

School climate has received increased attention in education policy and, in response, educators are seeking strategies to improve the climates of their middle and high schools. However, there has been no comprehensive synthesis of the empirical evidence for what works in school climate improvement. This article constitutes a systematic review of programs and practices with empirical support for improving school climate. It defines school climate and provides a methodology for identifying and evaluating relevant studies. The review identified 66 studies with varying strength of evidence and nine common elements that cut across reviewed programs and practices. The review concludes with a critical appraisal of what we know about school climate improvement and what we still need to know.