nils-herrmann/clean_scirepeval huggingface dataset:
A Novel Face Super Resolution Based Framework for Identity Recognition of Unsafe Behavior Workers
Venue: 2020 Chinese Automation Congress (CAC)
Year: 2020

Unsafe behavior detection applications contribute to construction safety management, among which face recognition and identity matching of the violation workers is essential to intervention: However due to the incompleteness of information in the low resolution images, it is difficult to recognize the correct worker identity. To fill this gap, we proposed a deep face super resolution (FSR) model based Integrated framework jointing unsafe behavior detection with penalty management flow. By converting low resolution face Images into high resolution ones and adding extra structural facial information, our method enormously enhanced the recognition rate of violation workers. The proposed super resolution based framework has raised a novel solution to identify workers on site and accomplished the automation workflow of safety management in construction.
Language and Gender
Year: 2016

The research will be focusing on gender language differences. It shows the differences on different texts samples. This research includes an analysis of particular data to determine gender language difference. It reveals how men use language to show their authorities whereas women to show their support for men. Gender language differences can be shown and dis cussed in the articles of "Gender Differences in Language Use:An Analysis of 14,000 Text Samples" and "Gender differ ences in the language of Hemingway's fiction" The articles attached pictures the difference between women and men in relating to aspects of language. It creates an understanding into the different aspects involved in lan guage for the two gender considerations. The report develops the material on these lines and considers conceptualized re search questions that it uses to analyze the articles and data provided as it reveals the learning of the writers from the arti cle contents. 2 A study of Gender difference in lan guage Based on the topic of discussion, one would ask a number of questions on how men and women treat language. According to "Gender Differences in Language Use:An Analysis of 14,000 Text Samples" a number of items in theoretical form create a picture of the different experiments conducted based on their results on the convergence of the language relationship between the female and male gender. Separate studies conducted earlier and the discoveries held with over 14000 text files indicated the material necessary for helping one understand the different language aspects in rela tion to gender differences. According to these items, men re late their language more to objects and impersonal items while women consider aspects that are more psychological and the social items in their languages. Through these studies, one learns that gender difference exists more in situations that place fewer limitation on aspects requiring fewer language aspects. The analysis of this data reveals how the two genders
Use of AR/VR Technologies in the Development of Future Specialists' Stress Resistance: Experience of STEAM Laboratory and Laboratory of Psychophysiological Research Cooperation
Venue: ICTERI Workshops
Year: 2020

The scientific article deals with the analysis of peculiarities of the use of innovative AR/VR technologies in the process of developing future specialists' stress resistance. Based on the analysis of the introduction of AR/VR technologies in the context of the implementation of a competency based approach to higher education; modern studies on the impact of augmented reality on the emotional states and physiological features of a person in a stressful situation, the experience of cooperation of students and teachers at the Laboratory of Psychophysiological Research and STEAM Laboratory has been described. Within the framework of the corresponding concept of cooperation, an integrative approach to the process of personality's stress resistance development has been designed and implemented. It is based on the complex combination of traditional psycho diagnostic and training technologies with innovative AR/VR technologies. According to the results it has been revealed that the implementation of a psycho correction program with elements of AR technologies has promoted an increase of the level of personality's emotional stability and stress resistance. The level of future specialists' situational and personal anxiety has decreased; the level of insecurity, inferiority, anxiety about work, sensitivity to failures has also decreased; the level of flexibility of thinking and behavior, ability to switch from one type of activity to another one has increased; general level of personality's adaptive abilities has also increased. The perspectives of further research include the analysis of the impact of AR/VR technologies on the future professionals' psychological characteristics in order to optimize the process of implementing a learner centered approach into the system of higher education.
Multiple sensor fusion for 3D navigation for unmanned autonomous vehicles
Venue: 18th Mediterranean Conference on Control and Automation, MED'10
Year: 2010

The paper presents a multiple sensor fusion for robust navigation based on Covariance Intersection (CI) The motivation of the approach described in this paper is a sensor based navigation with improved performance. The improved performance is quantified by explicit bounds of position estimate of the vehicle. The proposed algorithm results in 3D navigation and is based on the data fusion of the position and the orientation of the vehicle obtained from two different sources of sensor systems. Combining the measurements from different sources compensates for each other's limitations. Therefore the resulting performance of the sensor system is much improved than the individual sensor system.
KARMA OGRENME TASARIMLI OGRENME ORTAMININ OZEL YETENEKLI OGRENCILERIN YARATICILIKLARINA ETKISI
Year: 2017

Bu arastirmada, karma ogrenme yontemi ile farklilastirilmis ogretim ortaminin ozel yetenekli ogrencilerin yaraticiliklarina etkisi incelenmektedir. Bu amacla 10. sinif Kimya dersinin "Maddenin Halleri" unitesiyle ozel yetenekli ogrencilerin ihtiyaclari dikkate alinarak ve karma ogrenme yontemi ile farklilastirilmis bir unite programi olusturulmustur. Calisma, Istanbul ilinde, bir vakif okulunun fen lisesi bolumunun, 10. sinifina devam eden 17"si deney grubunda, 17"si de kontrol grubundaki toplam 34 ogrencisiyle gerceklestirilmistir. Deney ve kontrol gruplarinin her ikisindeki tum ogrencilerin ustun zihin duzeyinde performans gosterdikleri uzmanlar tarafindan daha once tanilanmistir. Deney grubundaki ogrencilere "Maddenin Halleri" unitesi 8 hafta boyunca kendileri icin gelistirilmis karma ogrenme yontemiyle farklilastirilmis ogretim ortaminda uygulanirken ayni uniteyi kontrol grubundaki ogrenciler, ogretmenin ders isleyis surecine arastirmaci tarafindan herhangi bir mudahalenin yapilmadigi ogretim ortaminda islemeye devam etmislerdir. Arastirma kapsamindaki verilerin toplanmasi icin Raven Ileri Duzeyde Ilerleyen Matrisler Testi ve Torrance Yaratici Dusunme Sekilsel Testi A ve B Formlari kullanilmistir. Bu testin A formu deney ve kontrol grubundaki tum ogrencilere ontest ve B Formu da sontest olarak verilmistir. Elde edilen veriler uygun bir programla analiz edilmis ve analizde Mann Whitney U testi kullanilmistir. Arastirmanin bulgularina gore, karma ogrenme yontemi ile farklilastirilmis ogretim ortaminin ustun zekali ve yetenekli ogrencilerin, yaratici dusunme becerilerinin detaylandirma boyutunu arttirdigi gozlenmistir.
Promoter architecture links gene duplication with transcriptional divergence
Year: 2021

Gene duplication is thought to be a central mechanism in evolution to gain new functions, but gene families vary greatly in their rates of gene duplication and long term retention. Here, we discover a link between the promoter architecture of vertebrate genes and their rate of duplication: Genes that harbor CpG Islands in their promoters (CGI genes) nearly 60% of our genes have rarely duplicated in recent evolutionary times, and most CGI gene duplication events predate the emergence of CGI as a major regulatory element of vertebrate genes. In contrast, CGI less genes predominate duplications that have occurred since the divergence of vertebrates. Furthermore, CGI less paralogs are transcriptionally more divergent than CGI paralogs, even when comparing CGI and CGI less paralogs that have duplicated at similar evolutionary times suggesting greater capacity of CGI less promoters to enable divergence in expression. This higher divergence between CGI less paralogs is also reflected in lower similarity of transcription factors that bind to the promoters of CGI less paralog pairs in comparison with CGI paralogs. Finally, CGI less paralogs have a greater tendency to sub and neo functionalize, and they transcriptionally diversify faster following duplication. Our results highlight the links between promoter architecture, gene expression plasticity and their impact on gene expansion, and unravel an unappreciated role of CGI elements in shaping genome evolution.  Gene duplication generates extra gene copies, providing material for evolution of new functions. However, many duplicated genes are eliminated due to functional and regulatory constraints. The evolutionary processes that govern the elimination and persistence of duplicated genes are not well understood. Here, we focus on CpG Islands (CGIs) important elements that occur in the majority of gene promoters. We show that genes with CGIs in their promoters have duplicated almost exclusively in ancient times, and nearly all recent duplications involve CGI less genes. Furthermore, duplicated CGI less genes diverge more in expression and display more distinctive transcription and cis regulation compared to duplicated CGI genes. Our results demonstrate how promoter structure influences transcriptional evolvability and, in turn, the retention of new genes.
Multi Agent Manipulation via Locomotion using Hierarchical Sim2Real
Venue: CoRL
Year: 2019

Manipulation and locomotion are closely related problems that are often studied in isolation. In this work, we study the problem of coordinating multiple mobile agents to exhibit manipulation behaviors using a reinforcement learning (RL) approach. Our method hinges on the use of hierarchical sim2real a simulated environment is used to learn low level goal reaching skills, which are then used as the action space for a high level RL controller, also trained in simulation. The full hierarchical policy is then transferred to the real world in a zero shot fashion. The application of domain randomization during training enables the learned behaviors to generalize to real world settings, while the use of hierarchy provides a modular paradigm for learning and transferring increasingly complex behaviors. We evaluate our method on a number of real world tasks, including coordinated object manipulation in a multi agent setting. See videos at this https URL
Physics Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational Autoencoder
Year: 2020

Recent advances in artificial intelligence have propelled the development of innovative computational materials modeling and design techniques. In particular, generative deep learning models have been used for molecular representation, discovery and design with applications ranging from drug discovery to solar cell development. In this work, we assess the predictive capabilities of a molecular generative model developed based on variational inference and graph theory. The encoder network is based on the scattering transform, which allows for a better generalization of the model in the presence of limited training data. The scattering layers incorporate adaptive spectral filters which are tailored to the training dataset based on the molecular graphs' spectra. The decoding network is a one shot graph generative model that conditions atom types on molecular topology. We present a quantitative assessment of the latent space in terms of its predictive ability for organic molecules in the QM9 dataset. To account for the limited size training data set, a Bayesian formalism is considered that allows us capturing the uncertainties in the predicted properties.
RELATIONSHIP BETWEEN FAMILY SUPPORT AND SELF MOTIVATION WITH COMPLIANCE IN TAKING MEDICATION IN PATIENTS WITH TUBERCULOSIS
Year: 2020

Tuberculosis is one of the diseases that causes the biggest death in the world. TB is a contagious disease that can be cured but requires a long treatment. One of the factors related to TB patient compliance in the treatment of one is family support and selfmotivation. The purpose of this study was to determine the relationship between family support and self motivation with medication adherence for TB sufferers in the Sawan I Community Health Center. This study was a correlation study with a cross sectional design. There are 53 respondents selected by nonprobability sampling with a purposive sampling technique. The data were analized with the Spearman rank test and the result was significant relationship(p value 0.000) and coefficient correlation was 0,545 which means it have positive relationship It means there was a significant relationship between family support and self motivation to medication adherence for TB patients at the Sawan I Community Health Center. In conclusion the better the family support and self motivation of TB patients, the more obedient TB patients in treatment.
Connections between classroom theory real world practice: Exploring the perspectives of undergraduate students at a Nigerian faculty of pharmacy
Year: 2019

Experiential learning attachments are avenues for students to apply classroom learning to real world situations. Therefore, understanding the impressions students develop about classroom theory after these attachments is important.  The aim of this study was to explore the perceptions of selected fifth year undergraduate bachelor of pharmacy students at Ahmadu Bello University, Zaria, Nigeria on the relationship between classroom theory and real world practice.  Two focus group discussions (FGDs) were held and audiotaped in March 2017, with thirteen purposefully sampled students. Data collected were then transcribed and analysed using qualitative content analysis.  The students reported that there were notable differences between classroom theory and actual practice. Reasons for these sentiments were covered under two main categories: constraints within the practice environment, and problems with knowledge obtained from the classroom.  Redesigning the curriculum to improve the relevance of classroom content, and greater involvement of Nigerian universities in experiential learning placements may help to better integrate classroom theory and real world practice within the country.
Understanding the conviction of Binayak Sen: Neocolonialism, political violence and the political economy of health in the central Indian tribal belt.
Venue: Social science medicine
Year: 2011

The health of adivasis' (Scheduled Tribes or indigenous peoples) is far worse than the general Indian population. Binayak Sen, a renowned Indian public health practitioner, has worked with adivasis in central India for over thirty years. On Christmas Eve 2010 Sen was convicted of involvement with Maoist insurgents and sentenced to life in prison. Sen's conviction has been condemned by Amnesty International and Human Rights Watch, and medical journals such as The Lancet and the British Medical Journal are campaigning for his release. This short report addresses the apparently vexing question of how such a miscarriage of justice could happen to a well reputed physician in a country that is widely referred to as 'the world's largest democracy' Both Sen's conviction and the health crisis among adivasis in central India are symptoms of what Paul Farmer (2005) refers to as 'deeper pathologies of power' specifically, the neocolonial political economy in which the state is very active in dispossessing adivasis but inactive in providing benevolent functions. Thus, the case demonstrates the manner in which public health is intimately related to social, economic and political processes.
Native Plants for Revegetation of Mercury and Arsenic Contaminated Historical Mining Waste Can a Low Dose Selenium Additive Improve Seedling Growth and Decrease Contaminant Bioaccumulation?
Venue: Water, Air, Soil Pollution
Year: 2019

Highly contaminated exposed legacy gold mine tailings from the late 1800s are present in many locations throughout North America and other parts of the world that experienced gold rushes at that time. Those tailing fields can pose risks to human health and the environment. Revegetation of tailing fields can reduce dust generation and other risks associated with these sites. The objective of this study was to investigate if native rapid growing plants could be successfully germinated in mercury (Hg) and arsenic (As) contaminated legacy mine tailings, both untreated and treated with a low dose of sodium selenite (Na2SeO3) to promote growth and decrease bioaccumulation of contaminants. After screening many candidates, four wide spread North American native plant species were selected, Juncus tenuis, Anaphalis margaritacea, Symphotrichum novi belgii, and Panicum virgatum for their tolerance, presence near legacy gold mine sites, and ability to germinate rapidly in harsh conditions. Three of these species germinated and grew well in untreated tailings except for S. novi belgii. The selenite treatment increased biomass, emergence, shoot height, and root length in J. tenuis; emergence in A. margaritacea; and root lengths in P. virgatum. This treatment also decreased shoot [Hg] and [As] in P. virgatum by 36% and 40% Low dose selenite treatments hold promise for supporting germination and growth of native plants in Hg and As contaminated tailing fields.
Learning theories application in nursing education
Venue: Journal of education and health promotion
Year: 2015

Learning theories are the main guide for educational systems planning in the classroom and clinical training included in nursing. The teachers by knowing the general principles of these theories can use their knowledge more effectively according to various learning situations. In this study, Eric, Medline, and Cochrane databases were used for articles in English and for the Persian literature, Magiran, Iran doc, Iran medex, and Sid databases were used with the help of keywords including social cognitive learning, learning theory, behavioral theory, cognitive theory, constructive theory, and nursing education. The search period was considered from 1990 to 2012. Some related books were also studied about each method, its original vision, the founders, practical application of the training theory, especially training of nursing and its strengths and weaknesses. Behaviorists believe that learning is a change in an observable behavior and it happens when the communication occurs between the two events, a stimulus and a response. Among the applications of this approach is the influence on the learner's emotional reactions. Among the theories of this approach, Thorndike and Skinner works are subject to review and critique. Cognitive psychologists unlike the behaviorists believe that learning is an internal process objective and they focus on thinking, understanding, organizing, and consciousness. Fundamentalists believe that learners should be equipped with the skills of inquiry and problem solving in order to learn by the discovery and process of information. Among this group, we will pay attention to analyze Wertheimer, Brunner, Ausubel theories, Ganyeh information processing model, in addition to its applications in nursing education. Humanists in learning pay attention to the feelings and experiences. Carl Rogers support the retention of learning centered approach and he is believed to a semantic continuum. At the other end of the continuum, experiential learning is located with the meaning and meaningful. It applies the minds and feelings of the person. From this group, the main focus will be on the works of Rogers and Novels. Finally, it could be concluded that the usage of any of these theoriesin its place would be desired and useful.
Optimal Non Convex Combined Heat and Power Economic Dispatch via Improved Artificial Bee Colony Algorithm
Year: 2020

It is well accepted that combined heat and power (CHP) generation can increase the efficiency of power and heat generation at the same time. With the increasing penetration of CHPs, determination of economic dispatch of power and heat becomes more complex and challenging. The CHP economic dispatch (CHPED) problem is a challenging optimization problem due to non linearity and non convexity in both objective function and constraints. Hence, in this paper a novel meta heuristic algorithm, namely improved artificial bee colony (IABC) algorithm is proposed to solve the CHPED problem. The valve point effects, power losses as well as the feasible operation region of CHP units are taken into account in the proposed CHPED problem model and the optimal dispatch of power/heat outputs of CHP units is determined via the proposed IABC algorithm. The proposed algorithm is applied on three test systems, in which two of them are large scale CHPED benchmarks. The obtained results and comprehensive comparison with available methods, demonstrate the superiority of the proposed algorithm for dealing with non convex and constrained CHPED problem.
1,2 Hexanediol as an Alternative Cosurfactant for Preparing Palm Based Microemulsions for Practical Applications
Year: 2008

Microemulsions (uE) were prepared with palm fatty acid esters (PFAME) as solvents stabilised by fatty alcohol ethoxylates (hydrophilic lipophilic balance, HLB value ~12.8) and 1,2 hexanediol as a co surfactant. The effects of co surfactant on the ternary phase systems were studied only at 10, 15, 20, 25, and 30% (w/w) of surfactant concentrations. The ratio of PFAME/water was chosen at 30:70 only. The mixtures were mixed vigorously and then kept at ambient temperature (25degC) for few days. The emulsions (two phase) uE and liquid crystalline phases were observed using the polarised light. In addition, the physical stability (accelerated test/month at 45degC),conductivity and viscosity for uE solutions were measured. The effects of co surfactant on the ternary phase systems for PFAME/non ionic surfactant/water were constructed at 25 and 45degC. The result showed that larger uE region was formed with PFAME 1 than the PFAME 2 at 30:70 ratio of oil to water. The minimum concentration of surfactant for producing clear, low viscosity and thermodynamically stable uE solutions was 10% (w/w) for both PFAME 1 and PFAME 2 at 25degC. However, the concentration of co surfactant used to produce uE solutions was 12.5% for PFAME 1 but was 30% (w/w) for PFAME 2. Furthermore, the conductivity and viscosity measurements indicated types of uE, that is, O/W or W/O formed.