Reviewerly/exHarmony huggingface dataset:
ANALISIS KESALAHAN BAHASA DALAM PENULISAN BAHASA MELAYU PELAJAR ANTARABANGSA [ERROR ANALYSIS IN INTERNATIONAL STUDENTS’ MALAY LANGUAGE WRITTEN COMPOSITIONS]

Teaching and learning of Malay language to international students in university is not a new issue. Most of public and private universities offer Malay language course as their core or elective course. Pusat Bahasa dan Pengajian Umum (PBPU) Universiti Pendidikan Sultan Idris (UPSI) in Tanjong Malim, Perak has taken a great move by offering two courses of Malay language which are Basic Malay Language Communication and Intermediate Malay Language. The total number of students who have registered for both courses in PBPU are expanding each year. Therefore, this study aimed to analyse and discuss on the errors in language learning made by the international students who learned the Intermediate Malay Language course offered by PBPU.  This study was conducted on 26 international students from China, Indonesia, Bangladesh and Egypt. The data of this study was collected from two short essays themed holidays and festivals in Malaysia. The selected materials were analysed using the Error Analysis Theory by Corder (1981). The method used for this study was text analysis method. The findings revealed that the students have produced many language errors in their written compositions such as errors in the use of morphology, phrase, and syntax. However, the analysis of this study focused on the errors made in the aspects of morphology and orthography. Based on this study, it can be concluded that there were many aspects of language errors produced by the international students. Most of the errors produced by the students were due to native language interferences and different countries background. Based on the findings, this study was expected to address the issue in Malay language learning among the international students who are learning Malay language and hence improving their mastery of the Malay language
MEMBERSHIP FUNCTION FORMULATION METHODS FOR FUZZY LOGIC SYSTEMS: A COMPREHENSIVE REVIEW -

Fuzzy logic has a widespread application in industry, some of the common applications of fuzzy logic lie in the field of automobiles, consumer electronics, image processing, machine learning, and non-linear control systems to name a few. Due to this fuzzy logic has seen a lot of advancements since its introduction by Zadeh. Designing a proficient fuzzy logic control system is governed by several design parameters which include: controller architecture, fuzzification method, membership function formulation, rule base acquired from expert knowledge, inference engine, and defuzzification method. With an objective to help the first time users of the fuzzy logic system, this paper aims to provide a detailed analysis of the existing techniques utilized by researchers and industrial practitioners to design an optimum fuzzy logic system.
Students’ Perception Toward Code Switching Performed by Lecturer in Teaching Speaking

This research aims to investigate students’ perception toward code switching performed by lecturers in teaching speaking at English Education Study Program at UKI Toraja. Researchers used descriptive quantitative methods. The population of this research  are the 6th semester students who have finished taking Speaking courses. Random sampling technique is used in sample selection with questionnaire as a tool to collect data. The results of the study were processed using quantitave by calculating the percentage of 10 items presented in the questionnaire. The result shows that students have positive perception toward code switching performed in teaching Speaking.
Instructional Listening Materials Using Audio Visual (at Student English Club of IAIN Kudus)

This study investigates the instructional listening materials. The reason of choosing this topic is based on the listening included in skill that assessed the most difficult in language skill. In addition, the audio-visual media is also interesting. With listen and watch the materials it will add the understanding of language. The aims of this research were to investigate the effectiveness of using audio visual to improve students listening skill, how the strategy to take advantage of audio-visual media to improve listening skills and to know attitudes of using audio visual in listening skill. The target of this research was the member of Student English Club of IAIN Kudus. The data were collected through questionnaire. The result of research showed that on the based questionnaire, the student gives positive attitude that the using audio visual is effective to improve listening skill.
Multi-Agent Recommender System

A recommender agent (RA) provides users with recommendations about products/services. Recommendations are made on the basis of information available about the products/services and the users, and this process typically involves making predictions about user preferences and matching them with product attributes. Machine learning methods are being studied extensively to design RAs. In this approach, a model is learnt from historical data about trading (i.e. data about products and the users buying them). There are numerous different learning methods, and how accurately a method can make a recommendation depends on the adopted method and also on the use of historical data. Given this, we propose a multi-agent recommender system called MARS which combines various different machine learning methods. Within MARS, different agents are designed to make recommendations using different machine learning methods. Since different agents use different machine learning methods, the recommendations they make may be conflicting. Negotiation is used to come to an agreement on a recommendation. Negotiation is conducted using a contract-net protocol. The performance of MARS is evaluated in terms of recommendation error. The results of simulations show that MARS outperforms five existing recommender systems.
Energy-Based Anomaly Detection and Localization

This brief sketches initial progress towards a unified energy-based solution for the semi-supervised visual anomaly detection and localization problem. In this setup, we have access to only anomaly-free training data and want to detect and identify anomalies of an arbitrary nature on test data. We employ the density estimates from the energy-based model (EBM) as normalcy scores that can be used to discriminate normal images from anomalous ones. Further, we back-propagate the gradients of the energy score with respect to the image in order to generate a gradient map that provides pixel-level spatial localization of the anomalies in the image. In addition to the spatial localization, we show that simple processing of the gradient map can also provide alternative normalcy scores that either match or surpass the detection performance obtained with the energy value. To quantitatively validate the performance of the proposed method, we conduct experiments on the MVTec industrial dataset. Though still preliminary, our results are very promising and reveal the potential of EBMs for simultaneously detecting and localizing unforeseen anomalies in images.
Quaint Devices: A Map of Headphone and Headset Plays∗

May 06 2021 Quaint Devices: A Map of Headphone and Headset Plays∗ Robert Quillen Camp Robert Quillen Camp Robert Quillen Camp is a playwright, director, and sound designer, whose plays include Chekhov Lizardbrain and Pay Up, both collaborations with Pig Iron Theatre Company. His writing has appeared in Chain, Conjunctions, Comparative Drama, Play A Journal of Plays, and Theater. He currently teaches at the University of Puget Sound in Tacoma, WA. Search for other works by this author on: This Site Google Scholar Author and Article Information Robert Quillen Camp Robert Quillen Camp is a playwright, director, and sound designer, whose plays include Chekhov Lizardbrain and Pay Up, both collaborations with Pig Iron Theatre Company. His writing has appeared in Chain, Conjunctions, Comparative Drama, Play A Journal of Plays, and Theater. He currently teaches at the University of Puget Sound in Tacoma, WA. (∗BEFORE AND DURING COVID) Online Issn: 1537-9477 Print Issn: 1520-281X © 2021 Performing Arts Journal, Inc.2021Performing Arts Journal, Inc. PAJ: A Journal of Performance and Art (2021) 43 (2 (128)): 36–50. https://doi.org/10.1162/pajj_a_00560 Cite Icon Cite Permissions Share Icon Share Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Robert Quillen Camp; Quaint Devices: A Map of Headphone and Headset Plays. PAJ: A Journal of Performance and Art 2021; 43 (2 (128)): 36–50. doi: https://doi.org/10.1162/pajj_a_00560 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsPAJ: A Journal of Performance and Art Search Advanced Search This content is only available as a PDF. © 2021 Performing Arts Journal, Inc.2021Performing Arts Journal, Inc. Article PDF first page preview Close Modal You do not currently have access to this content.
Identifying 2000 small and large creep events on the San Andreas Fault.

&amp;lt;p&amp;gt;The San Andreas fault has been observed to creep at the surface along the 175km section between San Juan Bautista and Cholame (Titus et al., 2011). This section is known as the creeping section and accumulates slip in two modes: during continuous background slip at a long term slip rate and in accelerated slip bursts known as creep events (Gladwin et al., 1994). But the size and importance of creep events remain unclear. Some researchers treat them as small, ~100-m-wide near-surface events (Gladwin et al., 1994), but others suggest that many creep events reach 4 km depth, connecting the surface to the seismogenic zone (Bilham et al., 2016). So, in this study, we systematically characterize the along-strike rupture extents of creep events along the San Andreas Fault, to determine if these are small, localized phenomena or large, segment-rupturing events.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We detect creep events and analyse their propagation using 18 USGS creepmeter records from the San Andreas Fault. Each creepmeter operated for at least 9 of the years between 1985 and 2020. To begin we systematically detect creep events using a cross-correlation approach. We identify periods that have significant slip and signals with high similarity to a template creep event. This automated detection allows us to produce a catalogue with 2000 creep events. The method detects at least 95% of the creep events identified by visual inspection.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Once we have found creep events at each creepmeter, we examine how creep events propagate. We compare creep event detections between pairs of creepmeters to determine how many creep events propagate from one creepmeter to the other. At the northern end of the creeping section, we observe that 18-28% of the creep events found at Harris Ranch are also found at Cienega Winery within 24hrs. This coincident timing implies that 18-28% of creep events in the north have an along-strike length of at least 4 km. Many creep events at the southern end of the creeping section appear to be even larger. For instance, a few events appear to be at least 31 km long; 10-38% of creep events at Slacks Canyon also observed at Work Ranch (31 km away) within 24hrs. These large along-strike rupture extents imply that creep events connect the slip and stress field over large regions of the San Andreas Fault. These events may play an important role in the slip dynamics of the creeping section.&amp;lt;/p&amp;gt;
Sierra Leone's Health Facilities’ Electricity, Computing-Hardware, and Internet Infrastructures

Background: Years of health information (HIS) investment in many countries has facilitated service delivery surveillance, reporting, and monitoring. Electricity, computing hardware, and internet network are vital for health facility-based information systems. Availability of these infrastructures at health facilities are crucial for achieving the national digital health vision.Objectives: The objective of this study was to gain insight into the state of computing hardware, electricity, and connectivity infrastructure at health facilities in Sierra Leone using a representative sample.Method: We sampled Seventy-two health facilities distributed in all the districts in Sierra Leone, factoring in rural-urban divide, digital health activity, health facility type, and health facility ownership. Enumerators visited each health facility over two weeks period.Result: We found that 82% of surveyed health facilities do not have institutionally provided internet. The maternal and child health posts (MCHP) one type of primary healthcare unit (PHU) reported 60% have solar as their only electricity source, and the other 40% had no electricity source. Similarly, 38% of hospitals use generator as a primary electricity source, while 46% use national utility. All hospitals have at least one functional computer, though only seven of the 13 hospitals have four or more functional computers. Similarly, only two of the 59 PHUs had one computer each, and 37 of the PHUs have one tablet device.Discussions: This healthcare infrastructure mapping provides the current state of internet connectivity, electricity, and computing hardware at health facilities in Sierra Leone. We can say with a 95% confidence level that alternative and non-traditional internet, electricity, and computing hardware are emerging as preferred options for health facility digital health coverage.Conclusion: Electricity provision for off-electricity-grid health facilities using alternative and renewable energy sources is emerging. Forty-three percent of surveyed health facilities believe inadequate electricity is the biggest threat to digitization. The current trend where all health facility internets are provided by GSM service providers can be changed to other promising alternatives.  This study has shown evidence of the critical gap necessary to achieve this result.Funding Information: The Ministry of Health and Sanitation was supported for this study by United Nations Children’s Fund (UNICEF) with support from United States Agency for International Development (USAID). The University of Malta also supported this research.Declaration of Interests: None to declare.
PERANCANGAN SISTEM INFORMASI PUSKESMAS KELURAHAN KAMAL I BERBASIS WEB

The development of information technology is very fast and proved instrumental in a variety of activities, so that support performance improvement of efficiency, effectiveness and productivity. The health sector is one of the important sectors of the government is one of the development sector with huge potential to be integrated with the presence of information technology. Kamal Urban Village Puskesmas I became one of the health centers are being developed. With a considerable number of patients, lead to problems in the management of patient data, administration, reports the number of patient visits, drug stocks data that is in the health center. Besides the issue of data collection and archiving of patient medical records is a matter that needs to be diperhatikan.CV. Suplindo General Electric is a company engaged in the field of electrical and mechanical engineering as a supplier of electrical panel procurement and engineering.  The problem attempted solved by developing an information system design Kamal Urban Village Puskesmas I web-based. Methods of using the system development methodology SDLC (System Development Live Cycle).By looking at the existing problems, the health center Kamal Urban Village I felt necessary to create an application that can overcome the problems that exist that can improve the health care community, facilitate the process of patient data, record-keeping and speed up the reports generated for the realization of the vision and I. Kamal Urban Village Puskesmas mission made the application is web-based applications using PHP MySql.
El período de adaptación y creación de vínculo en Educación Infantil

espanolEn este articulo explico como he trabajado en el periodo de adaptacion para generar vinculo con ninos de 1o de Educacion Infantil en tiempos de pandemia, mediante la reflexion sobre la practica de la tutoria. EnglishIn the following article I illustrate the way in which I have been working during the adaptation period in order to establish bonds with children in their first year of preescolar education during the pandemic, rethinking the role of the class tutor.
РАЗРАБОТКА МНОГОУРОВНЕВОЙ СИСТЕМЫ ПЛАНИРОВАНИЯ ТРАЕКТОРИИ ДВИЖЕНИЯ ГРУППЫ АНПА В НЕИЗВЕСТНОЙ СРЕДЕ С ПРЕПЯТСТВИЯМИ

The article discusses the problem of organizing the group movement of marine robotics(MRS), in particular, unmanned autonomous underwater vehicles (AUV), in an a priori unknownenvironment with obstacles. A brief analysis of existing projects on the subject of MRS group control,and path-planning algorithms have been carried out. The presence of numerous studies inthis area confirms the relevance of the indicated problem. The formal statement of the problem ofthe movement of four robots in formation is presented. The proposed method for a group pathplanning is based on a combined approach that organizes a multi-level solution to organizing themovement of MRS. At the upper level, a system for global path planning and mission control wasdeveloped based on the random tree method, which provides the general movement of the groupbased on a priori information about the state of the environment. The lower-level planning systemadjusts the global path, allowing objects at the local level to carry out the group agents’ movementand interaction, including ensuring their collision-free movement in environment and exit from theareas of local minima. The article provides a detailed analytical description of the developed algorithmand a block diagram of its functioning. Numerical simulation of the movement of a groupof 4 AUVs in a non-deterministic environment with fixed obstacles is carried out. The simulationwas carried out taking into account obstacles of various shapes and complexity. The results ofmathematical modeling demonstrated the solution to the problem of the exit of the AUV groupfrom the area of the local minimum. Full-scale tests are presented on the example of a group ofthree unmanned boats: a group of mobile objects formed a formation and carried out a movementin a given formation to target positions and returned to the final zone. In addition, the local planningmodule developed within the framework of this article was integrated into the software of theShadow underwater glider control system. In the conclusion, the results of the proposed methodand its further development, in particular, its application in 3D environment, are considered.
Low contrast detection factor based contrast enhancement and restoration for underwater images

Marine ecosystem is the largest of earth’s aquatic ecosystems. It includes salt marshes, coral reefs, deep sea, sea floor, etc. To learn deep about the activities taking place inside, underwater imaging is a tool. But these images lack in contrast and brightness leading to the lack of information in the ocean activities. To enhance such low contrast underwater images, Low Contrast Detection Factor (LCDF) is proposed in this study. It uses the value, saturation and hue to enhance the low contrast regions and to restore the color. Quality assessment is done to substantiate the proposed algorithm. It is found that the entropy gives an average of 7.3. No-reference Quality Metrics such as Natural Image Quality Evaluator and Blind/ Referenceless Image Spatial Quality Evaluator shows an average value of 3.6 and 22.5, respectively. The blur metrics shows a value of 0.21. The quality metrics indicates that the naturalness of the underwater image is maintained while the contrast of the underwater image has increased.
Digital Building Twins and Blockchain for Performance-Based (Smart) Contracts

Performance contracts used for servitized business models enable consideration of overall life-cycle costs rather than just production costs. However, practical implementation of performance contracts has been limited due to challenges with performance evaluation, accountability, and financial concepts. As a solution, this paper proposes the connection of the digital building twin with blockchain-based smart contracts to execute performance-based digital payments. First, we conceptualize a technical architecture to connect blockchain to digital building twins. The digital building twin stores and evaluates performance data in real-time while the blockchain ensures transparency and trusted execution of automatic performance evaluation and rewards through smart contracts. Next, we demonstrate the feasibility of both the concept and technical architecture by integrating the Ethereum blockchain with digital building models and sensors via the Siemens building twin platform. The resulting prototype is the first full-stack implementation of a performance-based smart contract in the built environment.
Social Network Analysis for Image Origin Classification

The social community websites are new task for private safety, specifically while a person’s personal facts is discovered in contents published via means of others, inclusive of pictures  with individuals. The fast improvement of numerous online social networks (OSNs) makes it unprecedentedly notable to share pictures online which lead OSNs as a main network to share images online. The unlawful task on the online contents include misusing of those pictures extensively. Because of this situation, finding the initial place and the propagation route of an online photograph are important for lots of forensic applications. In the proposed machine, a easy powerful method to determine the photograph starting place via way of means of exploiting the unique traces left via way of means of the various OSN operations. To this end, it first conducts a complete have a look at at the manipulations that numerous OSNs perform on uploaded images. It develops a machine to support customers collaborative private safety via way of means of permitting multiple customers to together manipulate the get admission to their non-public data.
Tra i libri di un medico del Novecento

This paper describes the private book collection of the Italian medical doctor Gioan Battista Dell’Acqua (1901-1991), owned by the library of the Campus Bio-Medico University of Rome. It includes around 250 titles of old and rare medical books, reflecting the interests, career trajectory and professional work of a physician of the twentieth century. Since it contains several textbooks printed by the most notable European publishers of that period, this collection also illustrates the history of scientific publishing companies and the advance of medical and health sciences in Europe.
Prediction of Environmental indicators in land leveling using Artificial intelligence Technique

Land leveling is one of the most important steps in soil preparation for agricultural and other purposes. . New techniques based on artificial intelligence, such as Artificial Neural Network, integrating Artificial Neural Network and Imperialist Competitive Algorithm (ICA-ANN), or Genetic Algorithms (GA-ANN), or Particle Swarm Optimization (PSO-ANN) have been employed for developing predictive models to estimate the energy related parameters and the results were compared to SPSS and Sensitivity