nils-herrmann/clean_scirepeval huggingface dataset:
The online behavior of pupils with visual impairment: A preliminary report.
Venue: Disability and health journal

Young people with special educational needs are also users of new media.  The aim of the study was to determine whether pupils with visual impairment spend more time on Internet use than pupils without visual impairment and whether youngsters from the study group are engaged in behaviors which could increase risk of problematic Internet use.  The study is based on a total of 191 pupils: a study group of 66 partially sighted pupils and a control group comprised 125 pupils who do not have visual impairment. A self report questionnaire was constructed for the needs of this study.  Pupils with visual impairment spent significantly less time on Internet use than their peers from the reference groups. Twice as many pupils from the study group as controls reported no symptoms suggesting potentially problematic Internet use. In addition, the study group more frequently used online social networking services and e mails or used the Internet for assignments.  Little difference exists between students with visual impairment and those without with regard to Internet use.
Applying Foreignization and Domestication in Translating Arabic Dialectical Expressions into English

Translating across language and cultural barriers is one of the most complicated tasks translator might face. This is due to the fact that text produced in one language and culture contains information about persons, institutions, habits, customers and traditions which accessible to speakers of the source language text but not understood by the speakers of another language. This article shows procedures and strategies used to overcome such problem and difficulties in translating Arabic dialect expressions into English. A central issue of this discussion is to highlight Venuti;s translation strategies foreignization and domestication that have been used in translating dialecticll expressions and culture specific elements into English, with special reference to Janet Watson"s translation of Sana'ani Arabic dialect. Relying on the distinction of the two key cultural strategies of Domestication and Foreignization, this study reveals the way in which Arabic culture specific elements have been portrayed in foreign context. The paper considers the validity of those cultural translation strategies and discusses their applications in different occasions. According to the obtained results, both foreignization and domestication strategies have been used to overcome the language and cultural barriers in translation of Sana'ani Arabic into English. But foreignization has been used more as the most pervasive cultural strategy.
An Analysis of Cultural Specific Items in English Translation of Hedayat's "Blind Owl" Based on Domestication vs. Foreignization Dichotomy

The main purpose of the current case study was basically to analyze Cultural Specific Items (CSIs) in an English translation of Hedayat's "Blind Owl" based on domestication vs. foreignization dichotomy which was proposed by Venuti (1995) To this end, the whole text of the two books, Persian text and its English translation, were gone under a strict and throughout examination. For the theoretical framework, the model proposed by Zare Behtash Firoozkoohi (2009) was exploited in order to categorize and distinguish CSIs in the corpus. As the data of the study represent, most CSIs were domesticated during the translation process and the source text was translated into a fluent and natural text for English readers. Also, the data prove the fact that from among the strategies applied in translating CSIs, simplification and naturalization were the two strategies which were mostly used by the translator and had the highest number of distribution in the translated text.
Foreignization and domestication strategies in cultural term translation of tourism brochures

In translating brochure, a translator has to make a decision on the basis of the message and purpose. The translator is faced by two strategies of translation foreignization and domestication. The purpose of the study is to examine how the interrelationship between cultural term translation and foreignization or domestication strategy in the cultural term translation of tourism brochure from Indonesian into English. This study used qualitative descriptive with discourse analysis strategy. The note taking technique is used to identify and classify the data. The objects of the study are tourism brochures from Province of Special Region of Yogyakarta and Central Java in 2015. The findings show that the translation strategies used depend on the translation process. When the cultural terms are familiar, translator tends to use domestication strategy and consider the target text. Translator chooses domestication strategy because try to make tourist understand the text and produce communicative and natural translation. On the other hand, when cultural terms are foreign, translator using foreignization strategy and consider source text. Using foreignization strategy, translator tends to introduce traditional cultural term.
Foreignization and Domestication: A View from the Periphery

The aim of this paper is to show the limits of Schleiermacher's dichotomy between foreignization and domestication and explore the fuzzy nature of the two concepts, which are in themselves imprecise, adaptable and therefore prone to misunderstanding and manipulation. It is maintained that the attitude towards them is conditioned historically and culturally, depending primarily on how a given community views itself and others and, consequently, on its perceived need for foreign impulses (or lack of it) and its (in)tolerance of them. Given this, the value of the two concepts, which are more than anything else heuristic tools that help us better understand some translation tendencies and their motivations, is relative. It is necessarily determined by the role ascribed to translated texts (or subgroups thereof) in the target culture and by the agenda they are supposed to serve in linguistic, literary, cultural or political terms. Depending on the target circumstances, both approaches can be employed to reinforce the existing state of things or to encourage changes, and both can lead to a translation's success or contribute to its failure.
Impact of a Mental Illness Stigma Awareness Intervention on Pharmacy Student Attitudes and Knowledge
Venue: American Journal of Pharmaceutical Education

To determine if exposure to an intervention course impacts pharmacy students' mental health stigma (MHS) and mental health knowledge (MHK) Methods. A one group pre/posttest intervention study of third year pharmacy students (N=120) was conducted. Dependent variables were subdomains of MHS (recovery, safety, disclosure, separation, comfort) which were measured on a 5 point Likert scale (1=strongly disagree; 5=strongly agree) Mental health knowledge was measured with 10 true/false questions. The 2.5 hour intervention included presentations, videos, discussions, and active learning exercises. Pre/posttests were administered, and data were analyzed using paired t tests and McNemar's tests.  Among responding students (n=88; 73.3% response rate) the following stigma subdomains significantly decreased after the intervention for depression and schizophrenia: recovery, safety, separation, and comfort. Mental health knowledge scores significantly increased from 5.9 (1.5) to 6.8 (1.5)  Pharmacy students' MHS and MHK related to depression and schizophrenia can be improved through a brief and interactive anti stigma intervention.
"Taking charge" of stigma: Treatment seeking alleviates mental illness stigma targeting men

This research provided a novel experimental test of mental illness stigma and reactions to treatment seeking decisions for male and female targets. In Experiment 1 (N 420) robust stigma emerged for targets exhibiting major depressive disorder; they were rated as less likeable, competent, and hirable than comparable normatively functioning targets. These results were unaffected by target gender. In Experiment 2 (N 322) moderated mediation analysis revealed that a depressed male target embodying masculine stereotypes by seeking professional treatment experienced less stigma than an identical male target who did not seek treatment (and respect mediated this difference) For female targets, treatment seeking did not impact respect or stigma. Implications for the gender gap in treatment seeking and relevant interventions are discussed.
Addressing Mental Illness Stigma in the Psychology Classroom

A number of initiatives are aimed at reducing mental illness stigma, yet stigma remains a problem in the general population. A focus on stigma reduction with students is particularly relevant, as students often hold negative attitudes toward mental illness, have regular contact with persons experiencing mental health difficulties, and because stigma influences students' own help seeking attitudes and behaviors. The psychology classroom presents an ideal opportunity to address stigma, since many courses include mental health related topics and are taken by large numbers of students from diverse fields. This paper undertook a review of the published literature to determine the extent that knowledge and/or contact based strategies to address stigma were implemented in the psychology classroom; successful interventions are described and contextualized within the larger stigma reduction literature. Recommendations for instructors who are interested in integrating an anti stigma approach in their classroom include (1) consider a social contact based approach, (2) look locally for resources, (3) be familiar with optimal conditions for contact, and (4) evaluate your outcomes.
Mental illness stigma and engagement in an implementation trial for Cognitive Processing Therapy at a diverse community health center: a qualitative investigation
Venue: International journal of culture and mental health

The present study aimed to describe associations between various types of mental health stigma and help seeking behaviors among ethnically diverse clients with posttraumatic stress disorder (PTSD) served by an urban community health clinic. The present study draws qualitative data from a parent National Institute of Mental Health Study that aims to identify barriers and facilitators of implementing Cognitive Processing Therapy (CPT) for PTSD. A total of 24 participants from the initial phase of the trial were included in the present study. Mental health stigma emerged as one notable barrier to seeking mental health treatment, as participants described how experiences of environment level stigma, internalized (self )stigma and perceived (felt) stigma from their family, friends and previous healthcare providers influenced their decisions to seek care. Despite these barriers to help seeking, many clients also reported that positive interactions with informal and formal support systems, and encouragement from study therapists, helped to combat mental health stigma and facilitate decisions to participate in an implementation trial for CPT. Findings suggest that providers in community health settings may need to attend directly to stigma at the initiation of mental health treatment.
The Effects of Power and Politics in Modern Organizations and its Impact on Workers' Productivity

In one aspect, power can be used to get a job done, on the other hand, it can also be used for the wrong reasons and politics is the influence gained from power. The effect of power in modern organizations depend on whether an employee uses the positive or negative type of power to control other employees. There is a focus on developing and using power in an organization because political behavior penetrates organizational life, and it often gives power to people who do not have it from their organizational position. There should be a balance in the use of power and politics in achieving organizational goals and objectives.
TRECVid Semantic Indexing of Video: A 6 year Retrospective

Semantic indexing, or assigning semantic tags to video samples, is a key component for content based access to video documents and collections. The Semantic Indexing task has been run at TRECVid from 2010 to 2015 with the support of NIST and the Quaero project. As with the previous High Level Feature detection task which ran from 2002 to 2009, the semantic indexing task aims at evaluating methods and systems for detecting visual, auditory or multi modal concepts in video shots. In addition to the main semantic indexing task, four secondary tasks were proposed namely the "localization" task, the "concept pair" task, the "no annotation" task, and the "progress" task. It attracted over 40 research teams during its running period. The task was conducted using a total of 1,400 hours of video data drawn from Internet Archive videos with Creative Commons licenses gathered by NIST. 200 hours of new test data was made available each year plus 200 more as development data in 2010. The number of target concepts to be detected started from 130 in 2010 and was extended to 346 in 2011. Both the increase in the volume of video data and in the number of target concepts favored the development of generic and scalable methods. Over 8 millions shotsxconcepts direct annotations plus over 20 millions indirect ones were produced by the participants and the Quaero project on a total of 800 hours of development data. Significant progress was accomplished during the period as this was accurately measured in the context of the progress task but also from some of the participants' contrast experiments. This paper describes the data, protocol and metrics used for the main and the secondary tasks, the results obtained and the main approaches used by participants.
Toward evidence based medical statistics: a Bayesian analysis of double blind placebo controlled antidepressant trials in the treatment of anxiety disorders
Venue: International journal of methods in psychiatric research

The Food and Drug Administration (FDA) uses a p 0.05 null hypothesis significance testing framework to evaluate "substantial evidence" for drug efficacy. This framework only allows dichotomous conclusions and does not quantify the strength of evidence supporting efficacy. The efficacy of FDA approved antidepressants for the treatment of anxiety disorders was re evaluated in a Bayesian framework that quantifies the strength of the evidence. Data from 58 double blind placebo controlled trials were retrieved from the FDA for the second generation antidepressants for the treatment of anxiety disorders. Bayes factors (BFs) were calculated for all treatment arms compared to placebo and were compared with the corresponding p values and the FDA conclusion categories. BFs ranged from 0.07 to 131,400, indicating a range of no support of evidence to strong evidence for the efficacy. Results also indicate a varying strength of evidence between the trials with p 0.05. In sum, there were large differences in BFs across trials. Among trials providing "substantial evidence" according to the FDA, only 27 out of 59 dose groups obtained strong support for efficacy according to the typically used cutoff of BF 20. The Bayesian framework can provide valuable information on the strength of the evidence for drug efficacy.
Unsupervised domain adaptation without source domain training samples: a maximum margin clustering based approach
Venue: ICVGIP '16

Unsupervised domain adaptation (DA) techniques inherently assume the presence of ample amount of source domain training samples in addition to the target domain test data. The domains are characterized by domain specific probability distributions governing the data which are substantially different from each other. The goal is to build a task oriented classifier model that performs proportionately in both the domains. In contrary to the standard unsupervised DA setup, we propose a maximum margin clustering (MMC) based framework for the same which does not consider source domain labeled samples. Instead we formulate it as a joint clustering problem of all the samples from both the domains in a common feature subspace. The Geodesic Flow Kernel (GFK) based subspace projection technique in the Grassmannian manifold is adopted to cast the samples in a domain invariant space. Further, the MMC stage is followed to simultaneously group the data based on the maximization of margins and a classifier is learned for each group. The data overlapping problem is taken care of by specifically learning a SVM KNN classifier for the potentially unreliable samples per group. We validate the framework on a pair of remote sensing images of different modalities for the purpose of land cover classification and a generic object dataset for recognition. We observe that the proposed method exhibits performances at par with the fully supervised case for both the tasks but without the requirement of costly annotations.
ANALYSIS OF TECHNICAL EFFICIENCY OF RICE PRODUCTION IN PUNJAB (PAKISTAN) Implications for Future Investment Strategies

The study employed a Stochastic Frontier Production approach to determine the future investment strategies that can enhance the production of rice in Punjab, Pakistan. The data is collected from 200 farmers in the year of 2005 from two Tehsils of Sheikhupura district which is one of the major rice growing districts of Punjab province. The results of stochastic production function indicate that coefficient of pesticide is non significant probably due to heavy pest infestation while fertilizer is found to have negative impact on rice production mainly because of improper combination of N, P, and K nutrients. The improper combination of input use indicates poor dissemination of extension services. Therefore, the role of extension department should be strengthened to enhance the productivity of rice and to protect the major natural resource, ground water for future generations. The results of inefficiency model suggest that investment on tractor (mechanization) could significantly contribute to improve farmer's technical efficiency, implying that the role of agricultural credit supply institutes (such as banks) needs to be redefined. Rice farmers are 9 percent technically inefficient, implying that little potential exists that can be explored through improvement in resource use efficiency. As a long run strategy, the investment on research related activities should be increased to shift the production technology.
Reinvigorating ideology critique: between trust and suspicion

The concept of ideology has historically been a master signifier of critique in media and communication studies. However, the concept's status has been decentred, to the extent that Downey, Titley and Toynbee recently argued in this journal 'there's no ideology critique' I affirm their call for a reinvigoration of ideology critique in media studies, although I question the force of their claim that contemporary media researchers are indifferent to ideology. I also argue for a theoretically open ended conception of ideology that interrogates the default 'hermeneutics of suspicion' of traditional ideology critique.
Performance Evaluation of Switched Reluctance Motor PWM Control in PV fed Water Pump System

Variable speed drives for PV fed water pumping system (WPS) in rural areas are of promising for economic and social growth. Being more economical without the hassles of winding and permanent magnets on rotor switched reluctance motor (SRM) is emerging as an attractive option in variable speed drives. Such a system demands for a suitable controller with simple and reduced components. This paper presents the essence of SRM PWM technique over single pulse mode in PV fed WPS. Performance characteristics such as: torque ripple, phase peak current and DC link current of the SRM PWM technique tested at various insolation levels are presented in this study. These performance assertions reveal that the PWM technique of SRM outweighs single pulse mode (SPM) SRM control in PV fed WPS with reduced torque ripple, reduced peak currents and reduced current gradients. For this study, a 2.2kW 8/6 SRM has been used to build a look up table based simulation model for SRM in Matlab/Simulink. The system is then implemented using high parallel computing FPGA Spartan 3AN board.
Solar PV array fed brushless DC motor driven water pump
Venue: 2016 IEEE 6th International Conference on Power Systems (ICPS)

This work deals with the utilization of solar photovoltaic (SPV) energy in the brushless DC (BLDC) motor driven water pump. A DC DC boost converter, used as an intermediate power conditioning unit plays a vital role in efficiency enhancement of SPV array and soft starting of the BLDC motor with proper control. The speed control of BLDC motor is performed by PWM (Pulse Width Modulation) control of the voltage source inverter (VSI) using DC link voltage regulator. No additional control or current sensing element is required for speed control. The behavior of proposed pumping system is demonstrated by evaluating its various performances through MATLAB/simulink based simulation study.
Binary codes for tagging x ray images via deep de noising autoencoders
Venue: 2016 International Joint Conference on Neural Networks (IJCNN)

A Content Based Image Retrieval (CBIR) system which identifies similar medical images based on a query image can assist clinicians for more accurate diagnosis. The recent CBIR research trend favors the construction and use of binary codes to represent images. Deep architectures could learn the non linear relationship among image pixels adaptively, allowing the automatic learning of high level features from raw pixels. However, most of them require class labels, which are expensive to obtain, particularly for medical images. The methods which do not need class labels utilize a deep autoencoder for binary hashing, but the code construction involves a specific training algorithm and an ad hoc regularization technique. In this study, we explored using a deep de noising autoencoder (DDA) with a new unsupervised training scheme using only backpropagation and dropout, to hash images into binary codes. We conducted experiments on more than 14,000 x ray images. By using class labels only for evaluating the retrieval results, we constructed a 16 bit DDA and a 512 bit DDA independently. Comparing to other unsupervised methods, we succeeded to obtain the lowest total error by using the 512 bit codes for retrieval via exhaustive search, and speed up 9.27 times with the use of the 16 bit codes while keeping a comparable total error. We found that our new training scheme could reduce the total retrieval error significantly by 21.9% To further boost the image retrieval performance, we developed Radon Autoencoder Barcode (RABC) which are learned from the Radon projections of images using a de noising autoencoder. Experimental results demonstrated its superior performance in retrieval when it was combined with DDA binary codes.
Content Based Image Retrieval system using Wavelet Transformation and multiple input multiple task Deep Autoencoder
Venue: 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)

In this paper, we propose an algorithm for a Content Based Image Retrieval (CBIR) system based on Wavelet Transformation and Deep Autoencoder (DAE) For the proposed algorithm, the image is first processed by wavelet transform and decomposed into wavelet coefficients. The wavelet coefficients then become the input for a multiple input multiple task deep autoencoder (MIMT DAE) In our design, only the approximation coefficients (CA) and diagonal detail coefficients (CD) are used. The result of retrieval performance is tested on the MNIST handwriting data base. The testing results show that the combination of wavelet transformation and MIMT DAE increases the performance of image retrieval for shape and texture compared to a traditional single input single task deep autoencoder with far fewer training parameters required.