Reviewerly/exHarmony huggingface dataset:
CONTENT ANALYSIS OF “PATHWAY TO ENGLISH” AN ENGLISH TEXTBOOK USED IN CLASS X-3 AT SMA PAWYATAN DAHA KEDIRI PUBLISHED BY ERLANGGA RELEVANCY TO CURRICULUM 2013

This research is done based on the writer research and experience that text book holds an important role in teaching and learning process. Text book contains the explanation of the material, excercises and evaluation which may deepen the students’ understanding about certain t opic. That’s why the use of text book will be very crucial in teaching and learning process. The problem faced nowadays is that not all published text book relevant to curriculum, moreover next several years all schools in Indonesia are required to use curriculum 2013. In this research, the writer analyses “Pathway to English” an English text book used in class X-3 at SMA Pawyatan Daha Kediri Published by Erlangga with the purpose to find out whether or not it relevants to curriculum 2013. Since this research is qualitative research whose purpose is to find out the relevancy of a text book to curriculum 2013, the writer uses content analysis approach to analyse the content of the workbook. The object of the research is “Pathway to English” an English Textbook Used in Class X-3 at SMA Pawyatan Daha Kediri Published by Erlangga. To get the data the writer doccumentation checklist based on KEMENDIKBUD’s. Conclusion of the research is “Pathway to English” an English Textbook Used in Class X-3 at SMA Pawyatan Daha Kediri Published by Erlangga is approximately relevant to curriculum 2013 and can be used as a learning source in teaching learning process in the classroom. This text book is very well organized, interesting and consists of all material students should learn in a year. This book will be very helpful in teaching learning process. Based on the result and conclusion the writer suggest to; 1) teacher should provide another learning sources to make the students become more active, 2) provide any audio or video to support material in this text book, 3) create summative test for each chapter to strengthen students’ understanding towards the material they have learned.
The Impact Of Human Resources Planning In Enhancing The Competitive Advantage Of Organizations: A Field Study On United Sports Organization In Abu Dhabi:

The study aimed to identify the impact of human resources planning with its different fields on enhancing the competitive advantage with its various elements. The study was conducted on United Sports Organization in Abu Dhabi through an applied field study. The data was collected by the study (questionnaire), which was distributed to (233) individual of United Sports employees only. The results of the study indicated that the level of human resources planning in United Sports Organization was average from the point of view of the study sample. This shows that United Sports Organization consider human resources planning to be a skill that can be relied upon in raising the level of competitiveness of sports. The study also showed that the level of competitive advantage in United Sports Organization was average from the point of view of the study sample, which shows that the management of United Sports Organization is very interested in trying to identify the creations and innovations made by the employees. The study came up with some recommendations; the most important of them is to draw the attention of the subordinates in United Sports Organization towards the failures and obstacles, to which the activity is exposed to, by paying attention to human resources planning, in order to meet the standards. Moreover, attention to competitive advantage must be increased through the services provided by United Sports Organization and try to raise its level to make it capable of competing with other sport organizations.ملخص البحثهدفت الدراسة إلى تحديد أثر تخطيط الموارد البشرية بمجالاته المختلفة في تعزيز الميزة التنافسية بعناصرها المختلفة. وقد تم إجراء الدراسة على منظمة يونايتد الرياضية بإمارة أبو ظبي من خلال دراسة ميدانية تطبيقية، فقد تم جمع البيانات بواسطة أداة الدراسة (الاستبانة)، التي وزعت على (233) مفردة من العاملين بمنظمة يونايتد الرياضية فقط، وأشارت نتائج الدراسة إلى أن المستوى الخاص بتخطيط الموارد البشرية في منظمة يونايتد جاء متوسطا من وجهة نظر أفراد عينة الدراسة وهذا يدل على أن منظمة يونايتد تعتبر تخطيط الموارد البشرية من المهارات التي يمكن الاعتماد عليها في رفع مستوى الميزة التنافسية الرياضية، كما أظهرت الدراسة أن مستوى الميزة التنافسية في منظمة يونايتد جاء متوسطا وذلك من وجهة نظر أفراد عينة الدراسة، وذلك إنما يدل على أن إدارة منظمة يونايتد تهتم جيدا بمحاولة التعرف على الإبداعات والابتكارات التي يقوم بها العاملين. وقد جاءت الدراسة ببعض التوصيات أهمها توجيه انتباه المرؤوسين في منظمة يونايتد نحو الإخفاقات والمعوقات التي يتعرض إليها النشاط من أجل تلبية المعايير، وذلك بواسطة الاهتمام بتخطيط الموارد البشرية، كما يجب زيادة الاهتمام بالميزة التنافسية من خلال الخدمات التي تقدمها منظمة يونايتد ومحاولة رفع مستواها مما يجعلها قادرة على التنافس مع المنظمات الرياضية الأخرى.
Secured federated learning model verification: A client-side backdoor triggered watermarking scheme

Federated learning (FL) has become an emergingdistributed framework to build deep learning models withcollaborative efforts from multiple participants. Consequently,copyright protection of FL deep model is urgently requiredbecause too many participants have access to the joint-trainedmodel. Recently, encrypted FL framework is developed toaddress data leakage issue when central node is not fullytrustable. This encryption process has made existing DL modelwatermarking schemes impossible to embed watermark atthe central node. In this paper, we propose a novel clientside federated learning watermarking method to tackle themodel verification issue under the encrypted FL framework. Inspecific, we design a backdoor-based watermarking scheme toallow model owners to embed their pre-designed noise patternsinto the FL deep model. Thus, our method provides reliablecopyright protection while ensuring the data privacy becausethe central node has no access to the encrypted gradientinformation. The experimental results have demonstrated theefficiency of our method in terms of both FL model performanceand watermarking robustness.
Aeromagnetic and Remote sensing characterization of basement structural elements that influence Iron ore deposits and other mineralization in Kabba and environs, southwestern Nigeria

Remote sensing and Aeromagnetic data analysis were conducted to map the structural control and characterization of influence Iron ore deposits and other mineralization over Kabba and its surroundings. Diversification of the Nigerian economy amidst threats to globalization due to covid-19 has necessitated charting a new course for sustainable development. Spectral analysis suggests depth to magnetic sources range from deep, intermediate, and shallow with depths (i.e., 2.8km,1.5km, and 0.3km respectively). Three lithological zones were revealed on the Analytic Signal (AS) image which includes Meta-Sedimentary Complex, migmatite-gneiss-quartzite complexes, and undifferentiated schist and metavolcanic rocks. Structures interpreted based on first vertical derivatives (FVD), total horizontal derivatives (THD), and AS of the aeromagnetic images enabled delineation of long, deep, regional, inter-terrain linear structural features that are different from shallow, relatively short local intra-terrain structures. Typical potential mineralized zones are regions where the delineated structures on the AS coincide with FVD anomalies vis-a-vis zones exhibiting THD peak anomalies and highmagnetic susceptibility. These characterized zones also coincide with the location of known geologically deposits of iron - ore and marble. Mineral deposits tend to be dominated regionally by the dominant structural patterns (NE-SW to ENE-WSW, NW-SE to WNW-ESE, and E-W) delineated from SRTM and aeromagnetic analysis.
IMPLEMENTASI SISTEM INFORMASI MANAJEMEN DALAM MENDUKUNG PELAYANAN ADMINISTRASI DI SEKOLAH TINGGI ILMU MANAJEMEN (STIM) BANDA ACEH

Based on the situation in the field, the author analyzes that problems are found in both the management of academic data, lecturers and education staff that are not reported, the information system of higher education databases whose academic activities have not been reported, and the educational administration process that has not been going well and perfectly. The Banda Aceh School of Management (STIM) realizes the importance of information system practices combined with advances in information technology developed in reliable information systems in improving the quality of education, so as to produce accurate, up to date information that can be enjoyed by all users of education services. and make excellence in providing educational services. The research objectives were to determine the implementation of the Management Information System, to know the collection, management and storage of data through the management information system, and to find out the Administrative Services at STIM Banda Aceh. This type of research uses qualitative research methods, and the source of the data is the person (resource) is a data source that usually provides data in the form of oral answers through interviews from the Banda Aceh School of Management (STIM) . The study was conducted from 01 to 17 August 2020 at STIM Banda Aceh, and data analysis using descriptive analysis techniques was carried out through three activity lines, namely: Data Reduction, Data Presentation, and Verification or Conclusion. The results showed that in implementing management information systems to support administrative services at STIM Banda Aceh, staffing and administration are the most important parts of an institution that is in charge of coordinating all divisions and is directly responsible to top management/chairman which includes the data collection section, the input section ,  data, the data storage section, everything is done by the operator and coordinated by the head of PTS data management. So it can be said that in education or a college cannot achieve the desired goal without the contribution of academic administration staff, staffing, and administration. It is hoped that the leadership and staff of STIM Banda Aceh can improve services creatively and innovatively and implement them effectively and efficiently . Keywords: Management information System , Administrative Services
READABILITY ASSESSMENT OF READING TEXTS IN PATHWAY TO ENGLISH FOR SMA/MA GRADE X

The purpose of the study is to describe readability of reading texts in textbook, ‘Pathway to English’ for SMA/MA Grade X’ published by Erlangga. The study is a quantitative content analysis. The source of the data was the textbook, and only reading texts with minimally 150 words in length were taken as the sample. 22 reading texts that matched the criteria were analyzed quantitatively in percentage form. Result of the data analysis shows that reveals that 9 (or 41%) reading texts match tenth grade level, but the rest, 4 (or 18%) reading texts are to easy, at 7th-8th grade level. and 9 (or 41%) reading texts are are fairly difficult to difficult, at 11th-16th grade level. Put it another way, 59% reading texts with minimally 150 words in length selected for use in EFL textbook ‘Pathway to English’ published by Penerbit Erlangga in 2016 were not in accordance with tenth grade SMA students’ readability level. In addition, It was also found that the data show that readability level of a text do not depend on text length.
Decentralized Learning of Randomization-based Neural Networks

Machine learning and artificial intelligence have been wildly explored and developed very fast to adapt to the expanding need for almost every aspect of human development. When stepping into the bi ...
Deep Graph Matching Meets Mixed-Integer Linear Programming: Relax at Your Own Risk?

Graph matching is an important problem that has received widespread attention, especially in the field of computer vision. Recently, state-of-the-art methods seek to incorporate graph matching with deep learning. However, there is no research to explain what role the graph matching algorithm plays in the model. Therefore, we propose an approach integrating a MILP formulation of the graph matching problem. This formulation is solved to optimal and it provides inherent baseline. Meanwhile, similar approaches are derived by releasing the optimal guarantee of the graph matching solver and by introducing a quality level. This quality level controls the quality of the solutions provided by the graph matching solver. In addition, several relaxations of the graph matching problem are put to the test. Our experimental evaluation gives several theoretical insights and guides the direction of deep graph matching methods.
Multi-Institution Encrypted Medical Imaging Ai Validation Without Data Sharing

Adoption of artificial intelligence medical imaging applications is often impeded by barriers between healthcare systems and algorithm developers given that access to both private patient data and commercial model IP is important to perform pre-deployment evaluation. This work investigates a framework for secure, privacy-preserving and AI-enabled medical imaging inference using CrypTFlow2, a state-of-the-art end-to-end compiler allowing cryptographically secure 2-party Computation (2PC) protocols between the machine learning model vendor and target patient data owner. A common DenseNet-121 chest x-ray diagnosis model was evaluated on multi-institutional chest radiographic imaging datasets both with and without CrypTFlow2 on two test sets spanning seven sites across the US and India, and comprising 1,149 chest x-ray images. We measure comparative AUROC performance between secure and insecure inference in multiple pathology classification tasks, and explore model output distributional shifts and resource constraints introduced by secure model inference. Secure inference with CrypTFlow2 demonstrated no significant difference in AUROC for all diagnoses, and model outputs from secure and insecure inference methods were distributionally equivalent. The use of CrypTFlow2 may allow off-the-shelf secure 2PC between healthcare systems and AI model vendors for medical imaging, without changes in performance, and can facilitate scalable pre-deployment infrastructure for real-world secure model evaluation without exposure to patient data or model IP.
EFEKTIVITAS PEMBELAJARAN DARING TERHADAP MAHASISWA PADA MASA PANDEMI COVID-19

The background of this research is to know effectiveness of online learning on students of Indonesian Language and Literature Education at the fifth semester of IPTS. The approach of the research is qualitative descriptive. Applying online learning is still ineffective and experiencing many obstacles.  Several obstacles include a) inadequate network, b) students do not focus in learning, c)  the lecture is not on time, d) students  are not on time, e) students do not understand material, f) students are not happy with the assessment, g) students have difficulty in learning the material, h) students do other activities while online learning, i) students are not enthusiastic in online learning, j) online learning complicates learning process, and k) expensive internet quota. The negative impact of online learning on students include 1) students are not enthusiastic, 2) students are not focused, 3) students are sometimes late in sending assignments, 4) students have difficulty in learning material, 5) student achievement decrease, and 6) students are lazy to learn and the positive impact include 1) the teaching and learning process can still run, 2) free and relaxed, 3) students are more willing to give opinions or ask questions, 4) more economical costs, and 5)  more independent.
UNIVERSIDADE ESTADUAL DO RIO GRANDE DO SUL

IT is provided by computational resources that aim at storage, transmission, production, access, security, use of information and with it we perform several activities, both to create, to correct the existing one. Information Technology is linked to several areas, thus having millions of applications, so it has several ways to express what it is, so it is difficult to determine it completely. It is the area of ​​information technology that deals with information, organization and classification in order to allow decision making in favor of some objective. Information technology can contribute to broaden or reduce private and public freedoms or become an instrument of domination, or even liberation as it promotes individual / collective development, through contact with the records of social experience, incurs to accentuate what was learned from the successes, and to avoid mistakes. Living working in the field of Information Technology is not an easy task, because depending on your role you will have to take care of the functioning of an entire company or several. For a company to be competitive it is essential to obtain a qualified IT specialized team that will assist in the daily lives of its other employees, streamlining and making their final product more efficient. This Report will present my daily life in the company where I am interning and also references about what is necessary to be a technical agent and what IT does briefly in relation to hardware and software. Adding several results to my research, I got in a conceptual way what are the responsibilities, what to assist, what to implement, what to find out at the time of maintenance, some basic concepts to keep the software acting in the best way, what is necessary to learn and a lot more. In these results, I understood what is necessary to live in this branch.
Optimal Feature Subset Selection with Multi-Kernel Extreme Learning Machine for Medical Data Classification

Medical data classification is treated as a crucial process in the domain of medical informatics. The recently developed machine learning (ML) algorithms are found useful for the medical diagnosis. This paper presents a new ML based medical data classification model using the whale optimization algorithm (WOA) based on feature selection with Multi-kernel extreme learning machine (MKELM) model, called WOA-MKELM. The proposed model could perform the medical data classification using two processes, namely the WOA based FS and the MKELM based classification. In the first stage, the WOA-FS algorithm is executed on the medical data to generate the feature reduced subset. In the second stage, the MKELM algorithm is applied to allocate the appropriate class labels for the medical data. The incorporation of WOA-FS model, prior to classification, helps to increase the detection rate significantly. The performance of the WOA-MKELM model has been tested using three medical datasets, namely hepatitis, UCI-Indian Liver Patient (UCI-ILD), and thyroid. The obtained experimental could values verify the effectiveness of the WOA-MKELM model with the maximum accuracy of 98.36%, 98.72% and 98.93%  for the applied hepatitis, UCI-ILD and thyroid dataset respectively.
Опыт разделения потенциальных полей Донбасса на фоновую, остаточную и локальную составляющие и некоторые результаты интерпретации

The article is devoted to determining the optimal procedures for processing and dividing potential fields into background, residual, and local components, as well as discussing some of the results. The relevance of the work is determined by the need to develop a geophysical basis for the mineralogical analysis of the Donetsk folded structure system. Aim. To select the optimal procedures for processing geophysical data and to divide potential fields into background, residual and local components, to evaluate the possibility of using the results obtained for mineragenic analysis of the Donetsk folded structure. Methods. The initial materials for the study were the results of aerial surveys in digital format conducted in 2011 by the company “Aerogeofizika” using modern high-precision instruments. And for the border strip with Ukraine – the materials of analog aerogeophysical surveys conducted before 2000. The division of the source fields into components was carried out using the methods of mathematical transformation of the source data using the domestic GIS Integro software package. The evaluation of the informativeness of the transformation of the source data complex was solved using the COSCAD 3D statistical sounding of geofields, as well as the technology for solving the inverse problem of gravity and magnetic exploration. Results. A technology has been developed that provides the compilation of summary maps of potential fields using materials from different-altitude aerial surveys based on the domestic GIS Integrogeoinformation system. Optimal procedures were established and the initial magnetic and gravitational fields were divided into regional, residual, and local components. When identifying the local component of magnetic field anomalies, extended zones of low-intensity positive magnetic anomalies were identified and traced for the first time in the study area. It is established that these anomalies are associated with faults confined to the axial planes of linear anticlines and reflect an increase in the magnetization of rocks due to hydrothermal-metasomatic transformations. The spread of previously identified gold-ore manifestations is significantly controlled by newly discovered zones of low-intensity magnetic anomalies. This makes it possible to attach high importance to the identified linear anomalous zones as criteria for solving problems of mineragenic zoning.
Individual variation in the structure of bilingual grammars

A bilingual's two languages can interact in their mind, but the mechanism of this interaction is still open to debate.In this article we employ a variant of gradient symbolic computation (GSC; Smolensky et al. 2014) to model the code-switched utterances of unbalanced Dutch-English bilinguals.We aimed to evaluate GSC as an appropriate architecture to model bilingual code-switching grammars, and to explore the extent of variability within and across individual bilingual speakers.The results indicate that the structure of individual grammars can vary widely from the structure of the grammar that emerges when the population is studied as a whole.We interpret these results as evidence that individual variation characterizes not only language processing (e.g.Fricke et al. 2019, Kidd et al. 2018), but also the structure of bilingual grammar itself.
Sistem Pakar Mendiagnosa Impetigo Metode Variable Centered Intelligent Rule System (VCIRS) dan Tsukamoto

Impetigo is a skin infection that is often found in young children and toddlers. This disease is usually characterized by redness of the face, especially in the mouth and nose accompanied by the appearance of tissue such as blood or dried feces. Impetigo is a contagious disease that makes it dangerous for young children and toddlers. Impetigo disease can be seen and felt from some of the symptoms that appear on the skin of young children and toddlers, but not many can confirm the disease experienced by young children and toddlers from these symptoms so they are often ignored until the impetigo disease damages the skin of young children and toddlers. The expert system is an artificial intelligence that can be used to obtain diagnostic results to serve as a reference. diagnosis of impetigo disease in the expert system built by the author implements the method of variable centered intelligent rule system as a method for making the rule system and Tsukamoto as a method for decision making or determining the final result.