Reviewerly/exHarmony huggingface dataset:
Design of Management Information Systems in A Hospital in The Physiotherapy Section Based on Software Applications

A computer-based management information system, a system based on software applications that can be run by a computer. Software applications are built on the basis of analysis and design of a system. The system is made by collecting information that is integrated with one another. Information in this case, can be in the form of data related to the organization that will build an application system that can store data or information in a database. The design of this hospital information system is carried out, in order to facilitate the storage, recording and creation of data that can be filled in by hospital staff in an integrated manner. The results of the system design, a hospital management information system (MIS) application made in the form of a software application. Software application to facilitate the need for filling in data related to physiotherapy ranging from drugs and equipment, stock management, examination to a list of physiotherapy patients in a hospital.
Problems of Distance Assessment of Students during the COVID-19 Pandemic at BSMA

Due to the restrictions caused by the Covid-19 pandemic situation, higher education institutions of Georgia, including Batumi State Maritime Academy, had to move to distance learning within a limited time frame. Remotely was carried out not only teaching (lectures and practical works) but assessment processes as well. The paper discusses the disadvantages of distance assessment based on a one-year survey (done by the authors of the given article), analyses the students’ mid-term and final assessment results before and during the pandemic period and suggests possible ways to eliminate them.
Discussion on Several Problems of Metallogenic Geological Condition and Genesis of Shoushan Stone

Shoushan stone is one of the four traditional stamp stones in China. The study for Shoushan stone has a long history, but mostly focuses on the classification and mineralogical and gemmological research for major varieties. And the study for metallogenic geological condition and genesis of Shoushan stone is relatively weak. The main problems of geological conditions and genesis of Shoushan stone are discussed in this paper. It considers that the acidic pyroclastic rocks of the second member of Xiaoxi formation in Shoushan Early Cretaceous volcanic eruption basin are the material basis of ore-forming. And it is proposed that the ore-forming and ore-controlling model is the NE-trending structure controling basin (Shoushan basin), NW-trending fault controling rock (volcanic rocks and volcanism), volcanic mechanism controling ore (deposit) and volcanic fault controling body. Secondary quartzite type altered mineral facies and mineral assemblage zoning in Shoushan orefield are discussed and established, which can be divided into five altered mineral facies and six mineral assemblage zoning. The discussions will promote the exploration, potential evaluation and prospecting prediction of Shoushan stone deposit, and even the interpretation of difficult problems in mineralogy.
Compilation Bedrock Geologic Map of Cemetery Ridge, La Paz and Yuma Counties, southwest Arizona

Cemetery Ridge is a northwest-trending group of low-relief hills in a remote area in southwest Arizona. Geological mapping by Grubensky and Demsey (1991) and Gilbert and Spencer (1992) identified the basic rock types and structure of the Ridge. Haxel et al. (2015, 2018, 2021) and Jacobson et al. (2017) subsequently found that quartzofeldspathic schist at Cemetery Ridge is part of the Orocopia Schist, a Late Cretaceous low-angle subduction complex that underlies much of southern California and southwest Arizona. They also found that the Orocopia Schist at Cemetery Ridge contains tectonic blocks of oceanic peridotite, chiefly harzburgite and serpentinite, unique in southwest Arizona and probably transported from western California.
Geochemistry of fluids: innovative solution of the fundamental problem

First of all, was developed a reliable mass spectrometric method for studying fluid inclusions in minerals (on the basis of the author’s certificate of the USSR No. 454446 of 1974 for the invention of the “device for cleaning the content inclusions of solid materials”). Were created and published new scientific directions: 1. Thermobarometry and geochemistry of gases of veinlet-impregnated mineralization in sediments of oil and gas regions and metallogenic provinces. 2. Bowels of the Earth – natural physicochemical reactor. Was developed a “method (technology) for determining the prospects of oil and gas bearing of the local area” and “a method (technology) of local forecasting of enriched areas of gold-ore fields” (together with M. M. Davydenko). Was established unknown before, but objectively existing phenomenon of the material world: 1) “lack of molecular hydrogen in inclusions in minerals in the bowels of the planet Earth” (together with V. A. Kaliuzhny). Independently were established: 2) previously unknown “property of deep abiogenic methane-termobar high-temperature fluid decompose-convert natural organic residues into layers of coal with their simultaneous methane saturation and its conservation in the earth’s crust of the planet Earth”; 3) previously unknown natural “phenomenon of arbitrary formation of natural carbon methane in the coal layers of the earth’s crust of the planet Earth under the influence of abiogenic methane-containing high-temperature fluid with their conservation in them”; 4) previously unknown different chemical properties of carbon isotopes in natural processes of synthesis-formation of various carbon-containing compounds ...; 5) “previously unknown pattern of natural processes of synthesis of perfect diamond crystals from astenospheric carbon dioxide ions...”. Was justified “a new way to determine the calorification of natural gas supplied to consumers and its cubic-metre barometry”.
Investigation of the variables that govern user behaviors related to e-crime attacks

The users´ behaviors play an important role in securing information systems. At the same time, the users´ bad behaviors end-up in making them victims to e-crime attacks. To emphasize the positive s ...
Deteksi Tepi Citra Dengan Metode Laplacian of Gaussian Dan Metode Canny

The research conducted is testing the accuracy of the level of similarity of the management of STMIK Pelita Nusantara. The facial images tested were 17 images and 136 tests in each method (Laplacian of Gaussian (LoG), Canny, and the combination of LoG + Canny). Tests were carried out using Matlab R2017b. From the test results, the researchers concluded that the accuracy of the highest level of similarity is the Laplacian of Gaussian method, namely images 12 and 17 with a percentage of 99.85%, then the Canny method, namely images 4 and 7 with a percentage of 99.53% and the lowest is the combination of the two methods. (LoG + Canny) namely images 6 and 13 with a percentage of 98.14%. And the highest average accuracy of the similarity window is the Laplacian of Gaussian method with a percentage of 49.91%, then the Canny method with a percentage of 38.19% and the lowest is the combination of the two methods (LoG + Canny) with a percentage of 37.81%.
Correlation measures of binary sequences derived from Euler quotients

&lt;abstract&gt;&lt;p&gt;Fermat-Euler quotients arose from the study of the first case of Fermat's Last Theorem, and have numerous applications in number theory. Recently they were studied from the cryptographic aspects by constructing many pseudorandom binary sequences, whose linear complexities and trace representations were calculated. In this work, we further study their correlation measures by introducing a new approach based on Dirichlet characters, Ramanujan sums and Gauss sums. Our results show that the $ 4 $-order correlation measures of these sequences are very large. Therefore they may not be suggested for cryptography.&lt;/p&gt;&lt;/abstract&gt;
The student’s perception of Youtube media use for English practical school exam at SMK ISLAM Salakbrojo:

Based on the Circular (SE) of the Minister of Education and Culture No.1 of 2021 concerning the Elimination of National Examinations and Equality Exams and Implementation of School Exams in an Emergency Period for the Spread of Corona Virus Disease (COVID-19) published on February 1, 2021, students are declared to have graduated from the educational unit/program after complete the learning program during the COVID-19 pandemic as evidenced by a report card every semester, obtaining at least good attitude/behavior scores, and            taking the exam administered by the education unit. Therefore, SMK Islam Salakbrojo conducts the English practical school exam of XII grade students through the recorded presentation of YouTube media. The implementation of this practical school exam during the COVID-19 pandemic certainly has its impressions and challenges, both for teachers and students.To investigate the perception of XII grade students of SMK Islam Salakbrojo on using YouTube toward their English practical school exam during pandemic Covid-19, the researcher uses a survey method. In addition, interviews will be conducted after this survey to obtain more in-depth data.  Researchers used questionnaire surveys and interviews that involve ten students of XII RPL (Rekayasa Perangkat Lunak) and ten students of XII TBSM (Teknik Bengkel Sepeda Motor) at SMK Islam Salakbrojo in the academic year 2020/2021.The result implicates that the use of YouTube media as an alternative tool can be used for the English practical school exam to enhance students’ interactions outside the classroom. YouTube makes students more creative, more confident, and more careful in the presentation of English practical school exams. Finally, Students recommend and support the YouTube use for the English practical school exam next year.
Code-switching Habits in Group Discussions by Students of English as Foreign Language

This study investigated the habit of code-switching by EFL students at Bulukumba Senior High School in English Group Discussion. It focused on exploring types of code-switching used by EFL students in English Group Discussion, and the dominant type of code-switching used by EFL students in English Group Discussion. The researchers applied mixed-method, which was a combination of qualitative and quantitative. This study took one class of EFL students as the research subject. The data was gathered through classroom recording by using a video recorder, interview, and field notes. The data analysis showed that students used five code-switching types, namely situational code-switching, metaphorical code-switching, intra-sentential code-switching, inter-sentential code-switching, and tag switching. The dominant type used by EFL students in English Group Discussion was inter-sentential in situational code-switching. In addition, the dominant type occurred in metaphorical code-switching was intra-sentential. The research result indicated that students used code-switching because it was needed in the classroom interaction like English Group Discussion.
Unraveling the Lived Experiences of the English Language Teachers in the New Normal: A Phenomenology

The implementation of distance learning has provided new opportunities and challenges to English language teachers. Commonly, the English language teachers aim to enhance the five language skills of each student: Listening, Speaking, Reading, Writing, and Viewing. However, the pandemic has affected the usual teaching methods, strategies, and techniques applied by English language teachers. Hence, this qualitative study aims to explore English language teachers’ experiences on the transition of their English language pedagogy towards the new normal setup. A Hermeneutic Phenomenological design was utilized to describe and interpret the participants’ responses. 15 English language teachers from selected private and public schools participated in the study. The following themes emerged from the Focus Group Discussion: Overcoming new challenges in teaching job; Altruistic act of teachers towards the second language learners; Technology as the main tool for teaching; Teachers acting more as guides than facilitators; Eclectic approach as the common method to teaching English in this new normal. These findings imply that English language teachers have redesigned their teaching strategies following the capabilities and needs of the students. Also, some activities have been modified to make them compatible with distance learning. The researchers suggest investigating the other factors that may help the English language learners to learn the English language during distance learning.
THE EFFECT OF EDUCATION AND COMPENSATION ON THE PERFORMANCE OF MEDICOM ACADEMIC LECTURERS AND COMPUTERS

ABSTRACTThis study was conducted to determine the influence of Education and Compensation To the performance of lecturers at the Medicom Computer and Informatics Academy. This study uses two variables consisting of the dependent variable is Performance lecturers (Y), while the independent variable is the Education (X1) and Compensation (X2). This type of research is explanatory research through associative research, the research aims to clarify the relationship between two or more variables. The population in this study were all lecturers  of the  Medicom Computer and Informatics Academy amounted to 35. Methods of data collection is done by questionnaire and literature study. Data analysis was carried out with test data quality (reliability and validity), klasik assumption test, t test (partial test), F test (simultaneous test). The results of the t test show that (1) education has a positive and significant effect on lecturer performance with a t value of 5.676; (2) compensation has a positive and significant effect on the performance of lecturers with a t value of 5.396 (3) The results of hypothesis testing show that education and compensation simultaneously have a positive and significant effect on the performance of lecturers at the Medicom Academy of Informatics and Computers. The results of this study showed that: the impact of Education and Compensation To the performance of lecturers at the Medicom Computer and Informatics Academy positive correlation coefficient (R) = 0.691 and the coefficient of determination (Adjusted Rsquare) of = 0.478 This means that the Performance lecturers (Y) at the Medicom Computer and Informatics Academy amounted to 47.8% influenced by the Education (X1) and Compensation (X2) together.
Digital Branch: Grades K-3: iCurious

At the Morse Institute Library, grades K-3 explore the power of creativity, take chances, make mistakes and have some fun!
A Multi-Objective Anti-Predatory NIA for E-Commerce Logistics Optimization Problem

Nature-inspired algorithms (NIAs) have established their promising performance to solve both single-objective optimization problems (SOOPs) and multi-objective optimization problems (MOOPs). Anti-predatory NIA (APNIA) is one of the recently introduced single-objective algorithm based on the self-defense behavior of frogs. This paper extends APNIA as multi-objective algorithm and presents the first proposal of APNIA to solve MOOPs. The proposed algorithm is a posteriori version of APNIA, which is named as multi-objective anti-predatory NIA (MO-APNIA). It uses the concept of Pareto dominance to determine the non-dominated solutions. The performance of the MO-APNIA is established through the experimental evaluation and statistically verified using the Friedman rank test and Holm-Sidak test. MO-APNIA is also employed to solve a multi-objective variant of hub location problem (HLP) from the perspective of the e-commerce logistics. Results indicate that the MO-APNIA is also capable to finds the non-dominated solutions of HLP. This finds immense use in logistics industry.
Syntactic and Semantic Knowledge-Aware Paraphrase Detection for Clinical Data

Matching clinical trials with patient EHRs for better patient recruitment is a well-known problem in the domain of clinical trial management systems. Pharmaceutical companies frequently conduct such tasks by manually inspecting trials eligibility criteria with that of the patient EHRs. Such manual process is known to be time-consuming and costly, particularly when many of the criteria are found to be of similar nature. Due to the complexities in terms of volume, amount of medical jargons and complex language structures, it is difficult to identify such similar eligibility conditions even for expert users. In this work, we have focused on a small but important step towards automatic detection of similar eligibility criteria from a large pool of clinical trials. We have observed that standard neural network-based paraphrase detection models often fail to detect semantic interrelation between many of the domain-specific terms. For such cases, the need for domain knowledge is indispensable. Accordingly, we have proposed a knowledge-aware BERT-Tree-LSTM model that takes into consideration both the semantic and syntactic relations between pairs of sentences along with the semantic interrelation between the domain concepts. Experimental results demonstrate that our proposed model surpasses the performance of the existing baseline models in terms of F1-scores, which is a promising direction for further research.
An Efficient Virtual Machine Placement Approach for Energy Minimizing in Cloud Environment

Cloud computing can be defined as an evolving Computing technology using the Internet and essential remote infrastructure to retain on-demand and pay-as-you-go assets. The number of data centers across the world has increased through wide adaptation to cloud principles, leading to large amounts of data center power consumption that affects the climate and economic aspects. So many virtual machines (VMs) could be installed on one Physical Machine(PM) via virtualization. The Cloud workload is held by these VMs and executed. Effective PM allocation of VMs will lead to better use of resources and energy savings. In this paper, our goal is to provide an improved Policy on energy-efficient VM placement to minimize energy consumption in the cloud environment, placing the VMs in the addressed bin backing mechanism and retaining the Service Level Agreement (SLA) between the provider and the cloud customer. Significant reduction in power consumption could even be made if convective are implemented at software level. Energy -aware scheduling processes produces excellent performance by implementing bin-packing energy efficiency mechanisms. An improved algorithm has been enhanced for the two First Fit Decreasing FFB and Best Fit Decreasing BFD algorithms, which are considered the best among bin packing algorithms. This algorithm adopts server power as the basis for arranging servers in the database, unlike the BFD, FFD algorithms that arrange servers according to CPU. The proposed algorithm has been practically tried using Matlab 2020 programing language for samples of servers and virtual machines, whose specifications were chosen randomly, and the results showed great efficiency of the proposed algorithm in reducing energy consumption
Smallbone Library: Subscription Databases: Access Global Newsbank

Video guides to some of our subscription databases. Showing you how to get the most from each one. A guide to using our newspaper database
Non-Rigid Volume Registration For DCE-MRI Using Deep Learning

In dynamically contrast enhanced magnetic resonance imaging (DCE-MRI) mul-tiple images are generated for a single scan. Before further analysis can be done,the images needs to be registered. Traditional registration techniques can yieldimpressive results, but are often very computationally expensive.In this thesis a neural network model using spatial transformer networks isproduced. This model aims to solve the registration problem, while not beingtoo computationally expensive.Several versions of the model are trained, on a limited data set of DCE-MRI scans of rabbit livers. The registration accuracy of these versions are thencompared to each other, and to two baseline methods: ANTs and Elastix.The model is shown – with a similarity metric and visual inspection – to reg-ister the volumes less accurately than ANTs, but more accurately than Elastix.Notably this is done with orders of magnitude less computational expense aftertraining (Less)
Pengaruh Kebiasaan Bermain Game Online Terhadap Hasil Belas Siswa Kelas Tinggi SDN 26 Watang Palakka

The problem in this study is the habit of students in playing online games so that it will have an impact on student learning outcomes if they cannot manage time to study and time to play online games. This study is a quantitative study with a correlation design that aims to determine the effect of online game playing habits on the learning outcomes of high-class students at SDN 26 Watang Palakka. The data analysis technique used is descriptive statistical analysis and inferential statistical analysis. Based on the results of descriptive statistical analysis, it was obtained that the habit of playing online games had an average of 84 and a percentage of 84% with a very good category and the average student learning outcomes had an average of 83,670 and a percentage of 83,670% with a very good category. Then based on the results of inferential statistical analysis, the tcount value (5.858) is greater (>) the ttable value (1.66277) at the 5% significance level. Thus, H0 is rejected and H1 is accepted, so it can be concluded that there is a significant influence between the habit of playing online games on the learning outcomes of high-class students at SDN 26 Watang Palakka. So the more students have high self-control, are able to manage time to play online games and time to study, student learning outcomes will increase.
Protecting the Sharing and Distribution of Color Images Hosted in Cloud Storage Services

In recent years, the reversible data hiding techniques also known as lossless or invertible data hiding, has gradually become a very active research area. The reversibility of these schemes makes possible to extract the embedded data without errors, as well as to restore the cover medium to its original state. Furthermore, to guarantee the security and confidentiality of the hidden data and the image, reversible data hiding schemes over encrypted domain are presented as a promising solution to solve several issues of information security. This paper presents a study case of reversible data hiding schemes over encrypted domain oriented to the protection of the sharing and distribution of color images hosted in cloud storage services. The experimental results are presented in terms of imperceptibility, capacity, confidentiality, and visual quality, respectively.