Reviewerly/exHarmony huggingface dataset:
Influence of Academic and Military Training on Learners’ Establishment as Military and Civilian Leaders

The world is constantly changing in all areas. Education is no exception. Students are focusing more on hands-on skills or finding information themselves. Therefore, the challenge for educators is to explain the skills. This study is devoted to the problems of motivation and the subsequent motivation salience of the learners in the process of training. The leader has a significant influence on the behaviour of the other participants in the overall activity. His authority is based on his personal qualities and contribution for achieving group goals, on his abilities and the possibility to take a consent of those who are influenced.  The scientific work presents empirical research in a real environment focusing on the influence of academic and military training at the university for the establishment of learners as military and civilian leaders.
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon

Sentiment lexicons are instrumental for sentiment analysis.One can use a set of sentiment words provided in a sentiment lexicon and a lexicon-based classifier to perform sentiment analysis.One major issue with this approach is that many sentiment words (from the lexicon) are domain dependent.That is, they may be positive in some domains but negative in some others.We refer to this problem as domain polarity-changes of words from a sentiment lexicon.Detecting such words and correcting their sentiment for an application domain is very important.In this paper, we propose a graph-based technique to tackle this problem.Experimental results show its effectiveness on multiple datasets from different domains.
Correction of convicts by reorientation of their emotional-volitional qualities

The article examines scientific approaches to the study of the emotional and volitional spheres of convicts’ personality, their importance for the organization of corrective impact, corrective and preventive work with various categories of convicts. The subject of the article is the official statistics, scien- tific literature on the problem considered. The aim was to study the emotional and volitional qualities of convicts. The methodological basis of the research was formed by the system-structural, formal-logical methods, general scientific methods of analysis and synthesis. As a result of the work carried out, the concepts of «emotional sphere of personality» and «volitional sphere of personality» were studied in relation to the realities of the penitentiary society. The results of a study of the emotional-volitional qualities of convicts are presented, the classification of convicts according to their emotional-volitional qualities is substantiated. Conclusions are made about increasing the effectiveness of corrective impact on convicts, taking into account the results of the pilot study. Key words: convicts, emotional and volitional personality traits, diagnostics, correction, corrective impact.
The awareness of hydration knowledge on gender differences among UiTM Perlis athletes / Fatin Najihah Abd Rashid

Water is the human body's main constituent. Paucity of hydration can impair the sports performance of the athletes and cause heat problems which can harm the athletes. Therefore, maintaining proper hydration status is crucial for sports performance and general well-being of athletes. Previous study focused on hydration knowledge among difference participants and focused on one type of gender only. To date, no clear results on hydration knowledge between genders among university athletes. Therefore, the purpose of this study was to determine the hydration knowledge on gender differences among UiTM Perlis athletes. A total of 169 UiTM Perlis athletes (85 males and 84 females) were participated in this study. Athletes were asked to answer Hydration Awareness Questionnaire (HAQ) which consists of 13 items. This study utilized online survey questionnaires to assess athlete hydration knowledge. The results of this study indicate that there was no substantial difference (p > 0.05) observed between genders in hydration knowledge. Despite understanding the importance of keeping hydrated, the awareness between genders on the hydration knowledge was on the average. Therefore, continued efforts must be made by coaches, managers and athletes to develop and implement more effective hydration strategies.
Multi-stage exhumation history of the West Kunlun orogen and the amalgamation of the Tibetan Plateau (vol 528, 115833, 2019)

The authors note that there were some inaccuracies in their published article as these should be corrected as follows: In section ‘5.3. Age-elevation relationships’, the first sentence of the second paragraph should read, “The elevation-age relations for the West Kunlun AFT results are summarized in Fig. 6.” In section ‘5.3. Age-elevation relationships’, the fifth sentence of the third paragraph should read, “Fig. 8 summarizes the expected distribution of exhumation duration (in myr) from 100 °C for erosion rates between 0.065 and 0.3 km/myr in the steady state limit, for a topography derived from the Shuttle Radar Topographic Mission (STRM) along an orogen parallel profile centered on the locus of the W-group sample set.” The final sentence of page 8 should read, “In particular, our thermal history modelling described above shows all modelled W-group samples have been cooled from temperatures above about 100 °C since the onset of mid-Cenozoic cooling.” Reference should be listed as follows: Xiao, W., Windley, B.F., Sun, S., 2015. A tale of amalgamation of three Permo-Triassic collage systems in central Asia: oroclines, sutures, and terminal accretion. Annu. Rev. Earth Planet. Sci. 43, 477–507. The authors apologise for any inconvenience caused.
Developing The Framework Of Information And Communication Technology Strategic Planning For State Islamic Universities In Indonesia

Many previous studies have shown that the Information and Communication Technology Strategic Planning (ICTSP) process is often failing in the Information Communication and Technology (ICT) implementation. The existing ICTSP frameworks are not universal. The purpose this study is to develop the ICTSP frameworks that in line with the concept of Islamic values, system, culture, mindset, bureaucracy, and politics prevailing in the Islamic Higher Education in Indonesia (IHE’s ICTSP framework). In this developmental study, both qualitative and quantitative methods were followed. The data collection techniques included Focus Group Discussion and Survey. Besides the qualitative analysis methods, the researcher used descriptive and inferential statistics with the Wilcoxon Signed Ranks Test method. The IHE’s ICTSP framework was developed in five stages, namely: developing initiatives, determining the direction of ICT implementation, assessing and analyzing the organizational environment, formulating strategies, and designing ICT implementation. Statistically, analysis results are showed that the effectiveness of ICTSP process stages is no difference; the second, the completeness of ICTSP process stages and activities component is a difference; the third, the compatibility of the ICTSP process with an institution background is a difference; and the fourth, the term and meaning of ICTSP process is a difference too.
LibGuides: DigitalCommons@TMC Start Guide: Uploading to DigitalCommons@TMC

Documentation on creating an account and uploading works to the DigitalCommons@TMC—The TMC Library's open access institutional repository Instructions on how to upload works to repository
Estimation of parameters in particle swarm optimization

Nowadays the heuristic techniques are becoming one of the most useful tools in solving optimization problems. One of these techniques is Particle Swarm Optimization, PSO algorithm. From the numerical analysis perspective this is a successful method, but many issues are still to be considered regarding the convergence of algorithm. In this paper we deal with the problem of the evaluation of the parameters of the algorithm that assure its convergence. In the previous work we presented some restriction on the parameters of the perturbated dynamical system, that modeled the PSO algorithm. These restrictions are necessary to guarantee the stability of the system. In this paper we present some other restrictions needed to ensure the stability of the system and to advance in the research of the convergence of PSO.
≪古今譚概·迂腐≫의 飜譯과 註解(2)

This paper is the second of a series of papers that translated and annotated ≪Gu wen tan gai(古今譚概)≫. This paper contains 11 to 21 pieces of ≪Gu wen tan gai(古今譚概)≫＜yufu(迂腐)＞. This book is a compilation of anecdotes cited by Feng Meng-long a writer of the late Ming Dynasty, in ancient literature. It consists of a total of 36 parts and contains a vast story of over 2,000 pieces. ＜yufu(迂腐)＞ contains of 70 episodes, and the main content is criticism of cliche and knowledgeable officials and intellectuals. This book is of literary value in that it contains stories cited from an ancient books that are not currently transmitted. And it is significant as a data to examine how intellectuals read and used old stories in the late Ming Dynasty. This book is a representative compilation of Wenxian Xiaohua(文獻笑話) in that it contains a large amount of stories. Furthermore, the subdivided classification reflecting the editor’s thoughts had an effect on the digestion of literature later. This also means that ≪Gu wen tan gai(古今譚概)≫ is a representative compilation of Wenxian Xiaohua. Lastly, through this book, we can examine the life view and criticism of Feng Meng-long. This paper translated the original Chinese text into natural Korean and added detailed comments to enhance understanding of the original text. In particular, in the annotation, the cited original text was included so that it could be compared with the one in ≪Gu wen tan gai(古今譚概)≫
DESIGNING ANDROID APPLICATION “LEARN ENGLISH BETTER” FOR CHILDREN’S SPEAKING SKILL AT JUNIOR HIGH SCHOOL

Being able to communicate in English fluently is the concern of every individual in this world because it gives some advantages in this life. As mobile technology has grown rapidly in educational sector, it creates new opportunities for improving learning experience of students in every level. The purpose of this research is to improve students speaking skill through LEB (Learning English Better) app. This study was conducted to fix the concern by concertating on how android application as learning media are used in speaking class of the eight grade of junior high school. This research combined the steps of R&D with the ADDIE model. The data were obtained from questioners and observation. The research was conducted in SMP Darul UlumKepuhdoko. The findings shows that LEB app get 3.1 point which categorized fair and worth to use in media validation and get 4 point which categorized fair and worth to use in material validation and also get 4.2 point in the assessment result by respondence wich is category good and worth to use. The result of this study shows that LEB app was appropriate to eight grade of SMP Darul Ulum students to learn speaking skill. Based on principle of m-learning, LEB app is flexible and practical. The product is easy to operate simple and helpful to learn English speaking skill
Smart Gesture Recognition for Disabled People

Wheelchairs are utilized by the individuals who can't stroll because of physical ailment, injury or other handicap. As per the World Health Organization and World Bank Report there are 70 million individuals are having some type of inability. Which leads to a wide scope in development of smart wheel chair. In this research work, we present a RF and Bluetooth based smart wheelchair which can be controlled by finger or hand gesture using a gesture recognition sensor i.e. APDS 9960 and also can be controlled by the eye blink motion with the Bluetooth connection using a web cam. As the traditional joystick develops a certain strain on the patient hand this prototype will be a great help for those patient. This prototype can be vary between the hand/finger gesture and eye blink gesture.
Unifying Probabilistic Reasoning, Learning, and Classification with Circuit Representations

Author(s): Liang, Yitao | Advisor(s): Van den Broeck, Guy | Abstract: On one side, symbolic methods represent our knowledge of the world, and when coupled with probabilistic reasoning, one can infer the uncertainty of unknown facts conditioned on the knowledge of known evidence. On the other side, statistical machine learning finds and infers a predictive function from vast amounts of data. To automate complex decision making, both are crucially needed. While their unification has been long pursued, the two up to now still largely remain disparate from one another. This dissertation demonstrates circuit representations are a promising symbolic-statistical synthesis. In particular, we study circuit representations across the dimensions of tractable probabilistic reasoning with and without logical constraints, structure learning from data, and classifying on image domains, namely, the main tasks across symbolic and statistical methods. And more importantly, we show those dimensions are unified for circuit representations by leveraging the same syntactic properties.
APPLICATION OF MACHINE LEARNING TECHNIQUES IN DATA CENTRE ENERGY MANAGEMENT

Cloud computing is one of the leading computing paradigms that offers services likeInfrastructure as a Service called IaaS, Platform as a Service called PaaS, Software as a Service called SaaS tousers on a pay per use model. The massive data centers that help cloud offer all the above stated services arevirtualized. Virtualization enables easy management of resources. However, the massive physical servers in thedata centers tend to consume enormous energy, leading to high environmental impact. So, energy conservationwith optimum usage and management is one of the prominent areas of research in cloud. The major techniquesto manage energy is to identify unused physical resources and put them to low power state or sleep state. But,the usage of resources depends heavily on the user requirements in an elastic environment like cloud. Hencemachine learning techniques can be used to predict the usage patterns thereby identifying the physical resourcesrequired to fulfill the user demand. This paper aims to survey the avenues wherein machine learning can beapplied to help energy management in a cloud data center.
Kraker/Ntm/Ekeri Tandem Addon For Rjl Scania Rs & R4 V2.1 1.36

Kraker/NTM/Ekeri tandem addon for RJL Scania RS and R4. NB: If you use other mods that use this as base, make sure the 1.8 is supported, there has ...
Utilization of E-Resources by the Post Graduate Students and Research Scholars of Pondicherry Engineering College, Pondicherry: A Case Study

Electronic Resources are becoming more and more important for the academic community. E-resources are considered as important resources for teaching, research and training. Thus e-resources in a library play significant role in academic libraries. E-resources have the features of easy access by many users of academic library and very important for library users. The present study identifies various e-resources, databases available in Pondicherry Engineering College Library, Pondicherry. The Post Graduate Students and researcher investigated the preferences and importance of e-resources along with identifying the purpose and problems faced while accessing online e-resources. A well structured questionnaire was designed and distributed among Post Graduate students and Research Scholars of Pondicherry Engineering College, Pondicherry. The study revealed that 85% of the respondent is aware of the availability of e-resources. The study says that 46.25% explored e-books/e-journals. This survey reveals 81.25% satisfied with e-resources available in the library.
Black-box adversarial attacks based on random coordinate selection

Abstract Recent studies show that deep neural networks are vulnerable to adversarial attacks, and the research of adversarial attack has become a hotspot in the field of artificial intelligence security. The decision-based black-box attack is one of the most challenging problems in the field of adversarial attack. Decision-based black-box attacks usually have the problems of high query times and low attack success rate. Several algorithms have been proposed to solve this problem and one of the algorithms presented by Cheng et al. models this attack as an optimization problem. However, this algorithm is based on the method of adding perturbation to the whole pixel, the number of queries is still very high and the convergence perturbation is not necessarily the minimum. In this paper, we present an improved strategy based on stochastic coordinate selection, hoping to improve the query efficiency while reducing the distortion. The convergence of the improved algorithm is analysed, and experiments are carried out on CIFAR-10 and ImageNet datasets. It has been shown that, compared with the original algorithm, our algorithm can find lower distortion using the same number of queries, and the success rate can be improved to different degrees under different query restrictions.
Collecting and Monitoring Conversational Analytics

I think we have all experienced it before. You are talking to a virtual assistant or typing into a chatbot, and the virtual agent doesn't understand what you mean. It asks you to repeat yourself, it returns a fallback, or worse it gives you the wrong answer! That's a lousy customer experience. When this happens too much, you risk the chance that your visitors are not coming back; "that bot doesn't work.” As a matter of fact, often the chat or voice bot did work, but it was taught to answer different types of questions.
A Comparative Study of Immunochromatographic Test (ICT) and Bone Marrow Aspiration for the Diagnosis of Kala-Azar in Children

Introduction: Kala-azar or visceral leishmaniasis is a parasitic disease caused by Leishmania of the L. donovani complex.The Indian term kala-azar for this disease denotes black sickness and also hyperpigmentation seen in those patients.Immunochromatographic test (rk39) for VL is a qualitative, membrane based immunoassay for the detection of antibodies to visceral leishmaniasis in human serum.Aim of the study: To evaluate the immunochromatographic test (ICT) and bone marrow aspiration test for the diagnosis of kala-azar in children.Material & Methods: This hospital based descriptive cross-sectional study was conducted in all the Paediatric units of Rajshahi Medical College Hospital from the period of April 2006 -December 2007.A total of 70 suspected cases of kala-azar patients were included in this study.Forty six (46) patients were diagnosed as a case of kala-azar, 24 patients were other than kalaazar.All data were analyzed by using SPSS (Statistical Package for Social Science) software package for entry, classification, analysis and interpretation of results.Results: A total of 70 suspected case of Kala-azar (Fever more than two weeks, pallor, hepatosplenomegaly) patients were enrolled in this study.Among them 46 patients (65.71%) were diagnosed as a case of Kala-azar, 24 patients (34.29%) were other than kala-azar.Among the kala-azar patients, most affected age group was 5-10 years.Male and female ratio was 1.71:1.Bone marrow study for LD body and ICT strip test performed in all 70 suspected case of Kala-azar.Among them LD bodies were found in 29 patients (41.43%) and LD body was not found in 41 patients (58.57%).Among them 24 cases were diagnosed other than Kalaazar.Among the Kala-azar cases (46 patients) LD body was not found in 17 cases (36.96%).Among the suspected Kala-azar patients 43 patients (61.43%) were ICT positive, 27 patients (38.57%) were ICT negative.No patient of 'other than Kala-azar'gave ICT positive result.Among the Kala-azar cases, 43 patients (93.48%) were ICT positive, 3 cases (6.52%) were ICT negative.Sensitivity and specificity of bone marrow study for LD body were 63.04% and 100%.Predictive of value of positive and negative test of bone marrow study for LD body were 100% and 58.83%.Sensitivity and specificity of ICT strip test for kala-azar were 93.5% and 100%.Predictive value of positive and negative test of ICT was 100% and 88.9%.Conclusion: Immunochromatographic test (rk39 ICT) is more sensitive and specific for the diagnosis of kala-azar in children.Immunochromatographic test (rk39 ICT) is rapid, easy, noninvasive, field applicable and cost effective for the diagnosis of kala-azar.
Half-day Panoramic view on Acoustic Materials - 5 - Clément Piégay

The youth group of the new EAA (European Acoustics Association) Technical Committee on Acoustic Materials, the YAN (Young Acoustician Network) and the YRAM (Young Researchers in Acoustic Metamaterials) organized a joint event for young researchers (masters/PhD/post-docs) on the topic of acoustic materials on Monday, May 10, 2021. The program included 6 accessible lectures to grasp different aspects of the topic: Introduction to porous materials - Fabien Chevillotte (Matelys) Current (and future) trends in acoustic materials - Bart Van Damme (Empa) From granular media to magneto granular crystals - Georgios Theocharis (LAUM) Viscoelasticity in porous materials - Lucie Rouleau (CNAM) Bio-based acoustic materials for building applications - Clement Piegay (CEREMA) Biomedical ultrasound applications of acoustics holograms - Noe Jimenez (I3M, UPV) Links: EAA TC on Acoustic Materials: https://euracoustics.org/technical-committees/tc-on-acoustic-materials/tc-on-acoustic-materials EAA YAN: https://euracoustics.org/yan YRAM: https://yram.org
Swarm Intelligence In Various Classification Methods

Improvement is a numerical method that worries the finding of maxima or minima of capacities in some attainable district. There is no business or industry which isn't engaged with tackling advancement issues. An assortment of streamlining methods vie for the best arrangement. Molecule Swarm Optimization (PSO) is a generally new, current, and amazing strategy for improvement that has been experimentally appeared to perform well on a significant number of these enhancement issues. It is generally used to track down the worldwide ideal arrangement in a mind boggling search space. This theory targets giving an audit and conversation of the most settled outcomes on PSO calculation just as uncovering the most dynamic examination points that can give drive for future work and assist the expert with improving outcome with little exertion. This paper presents a hypothetical thought and definite clarification of the PSO calculation, the benefits and weaknesses, the impacts and reasonable determination of the different boundaries. In addition, this postulation examines an investigation of limit conditions with the undetectable divider procedure, controlling the combination practices of PSO, discrete-esteemed issues, multi-target PSO, and utilizations of PSO. At long last, this paper presents a few sorts of improved forms just as late advancement in the advancement of the PSO, and the future exploration issues are additionally given.
FACTORS CAUSING MALAY TO BE ADOPTED AS INDONESIAN Submitted to Fulfill One of the Assignments at the National Language Development

Language is a part of the life of the speaker community. For Indonesian society, Indonesian has a position and function in people's lives. Indonesian also has history and development to date. Malay language is chosen as a unifying language (Indonesian) because : Malay language is already the lingua franca in Indonesia, the language of communication and the language of commerce, The Malay language system is simple, easy to learn because in Malay language there is no known level of language (coarse language and fine language), The Javanese, Sundanese and other tribes have voluntarily accepted Malay as Indonesian as the national language, Malay language has the ability to be used as a cultural language in a broad sense.