Reviewerly/exHarmony huggingface dataset:
La Facultad de Tecnología-Enfermería de Villa Clara ante la mitigación de la COVID-19

Background : the epidemiological setting caused by COVID-19 changed the educational teaching process in the Technology and Nursing Faculty. Objective: to describe the educational actions carried out by executives, professors and students from the Technology and Nursing Faculty to deal with COVID-19 at the University of Medical Sciences in Villa Clara. Methods: from March to May 2020, a descriptive study with a qualitative approach, was conducted. Theoretical methods were used: analysis-synthesis and induction-deduction; empirical methods: documentary review and interview survey that involves directors, teachers and students. Results: among the educational actions, training related to the new disease, evaluation and accreditation of all staff who would work in the faculty as an isolation facility, prevailed. Others were determined to be put into practice by teachers in the teaching area where the  broad-based training process consisting of nine university degrees, technical professional training and short cycle higher education in different technical health specialties, was taken into account. Conclusions: the actions carried out in accordance with resolutions and regulations in force for the teaching learning process in medical sciences in times of epidemiological contingency, in which the extension university service is highlighted as one of its fundamental functions,  were possible through this study.
LibGuides: Library of Things: Active

A guide to the non-traditional items available for checking out at the Milton Public Library
CAPTURED: WMW viewer tip leads to arrest of prolific identity theft and burglary suspect

Tiffany Doll’s two year run from the law comes to and end, thanks to a Washington’s Most Wanted viewer tip to Crime Stoppers of Puget Sound
Clustering for Home Healthcare Service Satisfaction using Parameter Selection

Recently, the importance of big data continues to be emphasized, and it is applied in various fields based on data mining techniques, which has a great influence on the health care industry. There are many healthcare industries, but only home health care is considered here. However, applying this to real problems does not always give perfect results, which is a problem. Therefore, data mining techniques are used to solve these problems, and the algorithms that affect performance are evaluated. This paper focuses on the effects of healthcare services on patient satisfaction and satisfaction. In order to use the CVParameterSelectin algorithm and the SMOreg algorithm of the classify method of data mining, it was evaluated based on the experiment and the verification of the results. In this paper, we analyzed the services of home health care institutions and the patient satisfaction analysis based on the name, address, service provided by the institution, mood of the patients, etc. In particular, we evaluated the results based on the results of cross validation using these two algorithms. However, the existence of variables that affect the outcome does not give a perfect result. We used the cluster analysis method of weka system to conduct the research of this paper.
THE VARIATION OF THE INTERPRETATION OF THE SPIRITUALITY CONCEPT IN THE PERIOD OF RENAISSANCE AND THE ENLIGHTENMENT (PEDAGOGICAL IDEAS)

The article analyzes the understanding of the essence of «spirituality» in the Renaissance and the Enlightenment. The article contains reference to the interaction of such ideas with the pedagogical concepts, with the concepts of education.The complexity and dynamic nature of human spirituality talks about the importance of recreating its integrity and fullness of the manifestations in each historical and cultural era. So, people in different historical periods combines specific and typical features of each era, and spirituality is one of the fundamental characteristics. Accordingly, spirituality is understood under idealized and materialized historically variable expression of the spiritual nature of man. The definition implies that spirituality is inherent, on the one hand, including individual features and characteristics of their carriers, and is the subjective expression of spirituality. On the other hand, objective spirituality exists outside of individuals and finds expression in various forms of spiritual culture, objective spirituality materializes in language, in words, in works of art. The Renaissance and the Enlightenment affected the number of fundamental changes in the economic, social and spiritual life of Western Europe. Each of these cultural epochs identified features of human spirituality, creating the environment of his life. The peculiarity of the social conditions determined by the distinctive culture, type of personality, consciousness, thinking, respectively, and the essence of man, followed by spirituality, in which it finds expression.Modern paradigm is characterized by its variability, it is possible to carry the spiritual upbringing of the Renaissance, Reformation, Enlightenment. Spirituality in these formations were based on human values, without taking into account the connection between man and God. The company offered various types of spirituality, not based on the existence of objective truth. In the Renaissance, spiritual education was largely focused on the revival of ancient spiritual values, the reformation offered the Church a variant of the terrestrial landmarks of man, the Enlightenment proclaimed education as the overriding value of society. In the modern era in European culture was the replacement of the perfect method of spiritual education to the regulatory. Proposed, by the Christian, ideal of God was gradually changed by regulatory requirements of morality. Characteristic of the Christian paradigm of spiritual education was replaced by external life.It is proved that each of these cultural epochs identified features of human spirituality, creating the environment of his life.
A new method of selecting safe neighbors for the Riemannian Manifold Learning algorithm

Manifold learning (ML) comprehends a set of nonlinear techniques for mining and representing high-dimensional data. In this work, we approach the well-known and successful ML technique called Riemannian Manifold Learning (RML). Firstly, we present a geometric interpretation of the main steps of selecting visible and safe neighborhoods to reconstruct geometry and topology in the original RML algorithm. Then, we describe and implement a new method of selecting safe neighbors for this algorithm. Our experimental results on synthetic and real data sets, using open source tools and a public face image database, have showed that the new method proposed shows similar results to the original one and reconstructions that favour local rather than holistic similarities described by the data. Additionally, since the new method proposed requires the specification of only one input parameter, its implementation is simpler and more intuitive than the original one.
On the learning dynamics of neural networks

Neural networks have shown some unbelievable success over the years. A neural network is believed to be a universal function approximator meaning that even a single node of a network can learn any arbitrary function if left for training for a sufficient amount of time.But these things need better explanation -�?� Why can neural networks even achieve generalization? Or is it just memorization?�?� How neural nets model uncertainty? Can these things be explained with information theory? Do mutual information between the subsequent layers influence this?Throughout the session, I will be discussing several points to address the above questions from current research studies. Hopefully, this would give the audience a better perspective of the abstractions neural networks are known to model.
SISTEM INFORMASI PEMESANAN DAN PERSEDIAAN BARANG BERBASIS WEB PADA PT. ALFA SCORPII BINJAI

Digital technology is growing very fast, so that various kinds of information can be obtained and processed easily and quickly. Many companies take advantage of these opportunities by implementing the use of information technology in their business processes, which of course will increase the company's competitive advantage, effectiveness and efficiency.The company can also function as a media for product promotion owned by PT. Alfa Scorpii Binjai Branch and can make it easier for consumers to choose and order the desired goods without having to bother coming directly to the place, with the help of a gadget / smartphone they can access the official website that will be issued by PT. Alfa Scorpii with ease. And not only that, on the one hand, an internet application can also design a corporate identity with an infinite area coverage.Thus at PT. Alfa Scorpii currently has a highly digitalized system in promoting and making digital services to customers so as to minimize ordering time and maximize the performance of PT. Alpha Scorpii
@Cambridgeport90 Check out #writingcommunity here on Twitter. ...

@Cambridgeport90 Check out #writingcommunity here on Twitter. fun little corner. Also #clmooc crew you can join ton of writing and artists. I just know
Use of ICT by P.G. Students and Research Scholars in Pondicherry University Library: A Study

The present study aims to analyze the ICT use behavior of research scholars and students in Pondicherry university library. The study reveals that, what are the Technology Tools utilized by the research scholars and students for their academic and research activities. The study also shows that purpose of using social networking sites. Further, the study discuss the problems faced by the respondents when they are seeking information through ICT based resources and services. The study also shows that the various internet use skills in which the users having poor knowledge.
직무스트레스, 대처방식, 사회적 지지가 보육교사의 삶의 질에 미치는 영향

Objective: The purpose of this study was to examine how job stress, coping style, and social support were associated with quality of life among child care teachers.Methods: The participants were comprised of 281 child care teachers in the metropolitan area of Seoul. Job stress, problem-focused coping style, social support, and quality of life were assessed by a teacher-reported questionnaire.Results: Correlation and regression analyses revealed that while job stress predicted lower quality of life, having problem-focused coping style and family support enhanced quality of life among child care teachers. Furthermore, results showed significant moderation effects of support from directors at child care centers on the relationship between job stress and quality of life among child care teachers.Conclusion/Implications: The findings suggest the important role of problem-focused coping styles and family support in enhancing quality of life. Moreover, support from directors at child care centers appeared to buffer the effects of job stress on quality of life among child care teachers. Results were discussed in terms of their implications for educational and counseling programs for child care teachers.
KEPEMIMPINAN BERDASARKAN DHARMA DALAM TEKS KAKAWIN BRAHMANDA PURANA

Literary works become an inseparable part in the journey of culture and civilization of human creation itself. One such work is Kakawin Brahmanda Purana. The values of dharma and leadership in Kakawin Brahmanda Purana should be used as guidelines in life. Based on this background, there are important issues that will be discussed in this paper, namely how the dharma teachings in Hindu leadership in Kakawin Brahmanda Purana? The method used in this paper is the literature method and refer to the data discovery method. In writing using qualitative narrative techniques. Based on studies conducted, it can be found that the teachings of dharma in the story of Brahmanda Purana should be made learning for a leader, so that from his leadership can prosper the people and in accordance with the rules of dharma. Good behavior must be done by everyone, especially for a leader, because the leader will be a role model, an example, and an example for those they lead. The community will prosper if the leaders behave properly according to the teachings of their respective religions.
Image dehazing algorithm by combining light field multi-cues and atmospheric scattering model

Image captured in foggy weather often exhibits low contrast and poor image quality, which may have a negative impact on computer vision applications. Aiming at these problems, we propose an image dehazing algorithm by combining light field technology with atmospheric scattering model. Firstly, taking the advantages of capturing multi-view information from light field camera is used to extracting defocus cues and correspondence cues, which are used to estimating the depth information of hazy images, and use the obtained depth information to calculating the scene’s initial transmission. Then use scene depth information to build a new weight function, and combined it with 1-norm context regularization to optimizing the initial transmission map iteratively. Finally, the central perspective image of hazy light field images is dehazed using atmospheric scattering model to obtain the final dehazed images. Experimental results on synthetic hazy images and real hazy images demonstrate that, compared to existing single image dehazing algorithms, the peak signal to noise ratio get 2 dB improvement and the structural similarity raise about 0.04. Moreover, our approach preserves more fine structural information of images and has faithful color fidelity, thus yielding a superior image dehazing result.
CENSORSHIP TOOL TO DETECT NSFW CONTENT IN A VIDEO FILE

Internet has vast content which is spread like wildfire across different devices, countries, cultures and ages. When so much content is available it is often prone to abuse. The abuse is mainly from NSFW (Not Safe For Work) which reaches inappropriate audiences.  Our project focuses on detecting the NSFW content and letting user know if the content that they are viewing has NSFW before viewing the content. Our idea is to work with video files as they possess NSFW frames which popup without user’s control over it. We use a pre-trained classifier (nudenet) to classify if a frame has NSFW content or not.
Generating Photomosaics with QR Code Capability

A photomosaic is an image with two layers of visual information, including an overarching image that can be seen from a distance and a matrix of individual tile images when examined closely. This paper presents a method for generating photomosaics with an additional layer of quick response code (QR code) information that can be accessed by typical QR code scanners in cell phones. The basic idea is to carefully classify the tile images in different categories and generate the photomosaic patches by referring to the properties of QR code modules. Three levels of construction methods for generating the proposed photomosaics in different image resolutions are proposed. The results show that the generated photomosaics have good visual quality and high robustness for decoding the QR code. The proposed method endows conventional photomosaics with the QR code capability. It extends photomosaics from exhibiting purely visual information to the linkage of multimedia data. Furthermore, it increases the feasibility and potential of applying photomosaics in diverse applications, such as activity promotions or commercial product advertisements.
SISTEM INFORMASI PENGOLAHAN DATA PERMINTAAN REKAPITULASI BENDA POS UNTUK KANTOR POS CABANG PADA PT. POS INDONESIA (PERSERO) BINJAI BERBASIS WEB

Knowledge and technological developments are currently increasing rapidly, requiring agencies and organizations to use technology to obtain the required information quickly and accurately. PT. Pos Indonesia (Persero) Binjai has a special task of fulfilling requests for postal items required by the Post Branch Offices, therefore PT. Pos Indonesia (Persero) Binjai fulfills requests for postal goods from the respective Branch Post Offices. Processing of postal object recapitulation request data in the form of data on the number of goods, price of goods, and total price. The postal objects are stamps, stamps, envelopes, and postcards. Thus, with the information system processing postal object recapitulation request data, employees can easily obtain postal item request data recapitulation per month.
EFFECTIVENESS OF THE ADVENTURE OF TIMUN EMAS GAME IN IMPROVING THE READING SCORE OF INFORMATICS ENGINEERING STUDENTS

One of the things that is very important to support the success of facing Asian Economic Community (AEC) is mastery of English. From the pretest in Informatics Engineering students conducted by researcher in January 2020, the average result was 50.17%. So it can be concluded that their reading comprehension skills are not good enough. On the other hand, There are several media to increase interest in reading. One form of learning media is educational games. Games are an interactive application that involves the relationship between humans and computers and humans and humans. The Adventure of Timun Emas is a game that contains reading comprehension learning. In certain parts English text and questions are inserted which require the player to answer the question in order to continue the game. This study adopted a pre-experimental design. The significance of the difference in mean change is determined by precise statistics such as the dependent T-test. From the results of calculations using the t-test found that the t-value obtained was 7,028, while the required critical t-value at p> .05, the level of significance of the two tailed test is 2.069 (df = 23), p> .01 significant level of two The tailed test was 2.807 (df = 23), p> .001, the significant level of the two tailed test was 3,768 (df = 23). The results of the data in this study indicate that there is a difference in results between the scores on the pre test and post test. This can be seen in the table of student scores on the pre test and post test. So it can be said that students taught by this game achieve better reading comprehension than those taught by printed text
HUBUNGAN PEMANFAATAN PERPUSTAKAAN DENGAN HASIL BELAJAR MAHASISWA DIII KEBIDANAN TINGKAT I SEMESTER I DI UNIVERSITAS BATAM TAHUN 2017

The library functions as the facility to support students in learning process by advancing all of the facilities provided, for instance books, journals, e-book, e-journals, and other information sources, for the students learning importance. The purpose of this study is to examine the correlation of library support and the learning outcomes of first-degree midwifery students at the Batam University. This research is an analytic survey research with cross sectional approach which investigates the correlation between risk factors and its effects through an approach, observation, or data collection at one time. This study was conducted from May to July 2017 by distributing the questionnaires to 24 respondents. The data collected from the questionnaires then was analyzed by Chi Square statistical test. Further, the Chi Square statistical test obtains score of p=0.011 (<0.05). Therefore, it is verified that there is a significant correlation of the library support and the first-year students learning outcomes of Diploma III Midwifery study program in Batam University.
Quality and energy optimized scheduling technique for executing scientific workload in cloud computing environment

&lt;p class="Abstract"&gt;Modern BigData data-intensive and scientific workload execution is challenging. The major issues are reliable processing, performance efficiency and energy efficacy perquisite of BigData processing framework. This work assume self-aware MC architectures that autonomously adjust or optimize their performance to accommodate users quality of service (QoS) performance requirement, job execution performance, energy efficiency, and resource accessibility. Extensive workload scheduling has been presented to minimize energy consumption in cloud computing (CC) environment. However, the existing workload scheduling model induces higher amount of interaction cost between inter-processors communications. Further, due to poor resource utilization, routing inefficiency these existing model induces higher energy cost and fails to meet workload QoS prerequisite. For overcoming research challenges, this paper presented quality and energy optimized scheduling (QEOS) technique for executing data-intensive workload by employing dynamic voltage and frequency scaling (DVFS) technique. Experiment outcome shows QEOS model attains good trade-off between system performance and energy consumption in multi-core cloud computing (CC) architectures when compared with existing model.&lt;/p&gt;
A METHODOLOGY FOR DRASTIC IMPROVEMENT OF GOODNESS OF FIT APPLIED TO ACTUAL EMPIRICAL DATA BY USING ARTIFICIAL INTELLIGENCE (AI)

Scientists and practitioners frequently resort to replicating empirical data when testing the validity of scientific theories or testing hypothesis. Commonly known probability distribution (Normal, Binomial, Exponential, etc.) are habitually assumed to fit the empirical data. In order to avoid complicated probability distributions, analysts find themselves tolerating poor values for goodness of fit. In this thesis, we have introduced a methodology that replicates a distribution much closer to the actual distribution of the data. The superiority of the proposed methodology over use known probability distribution (Normal, Binomial, Exponential, etc.), by how small the absolute percentage of error (in many cases, the absolute percentage is practically equal to zero %). Meaning that replicated data is exactly identical to the actual data. The use of Artificial intelligence (AI) has facilitated automatic generation of precise mathematical formulas needed. Practicality of proposed method is shown by assisting Military Training Institute (MTI) in producing very effective future training plans. Whereas, the proposed solution method was used to obtain a distribution of data exactly identical to the distribution of the original data. The results were impressive, with 100% goodness of fit.
Cross-Ssupervised Object Detection

After learning a new object category from image-level annotations (with no object bounding boxes), humans are remarkably good at precisely localizing those objects. However, building good object localizers (i.e., detectors) currently requires expensive instance-level annotations. While some work has been done on learning detectors from weakly labeled samples (with only class labels), these detectors do poorly at localization. In this work, we show how to build better object detectors from weakly labeled images of new categories by leveraging knowledge learned from fully labeled base categories. We call this novel learning paradigm cross-supervised object detection. We propose a unified framework that combines a detection head trained from instance-level annotations and a recognition head learned from image-level annotations, together with a spatial correlation module that bridges the gap between detection and recognition. These contributions enable us to better detect novel objects with image-level annotations in complex multi-object scenes such as the COCO dataset.