Reviewerly/exHarmony huggingface dataset:
Analysing gender-based violence against Colombian public figures on Twitter

This work proposes the development of a methodology that standardises the extraction, processing and analysis of natural language data for the study of gender-based violence evidenced on the Twitter social network. We develop a tool that may be exploited by different organisations, foundations, corporations, associations or state institutions that promote, exercise and disseminate human rights in Colombia and elsewhere. In this work, we take as a case study ten prominent female public figures in Colombia in the artistic, political and journalistic spheres. We extract a total of 39,629 tweet responses during a turbulent national strike amid the COVID-19 pandemic, and carry out topic identification and sentiment analysis. While we observe differences between the different roles based on natural language processing with different libraries, the are notable negative terms in the topics identified which are of concern as they may incite gender-based violence. It is expected that this proposed tool will benefit the decision-making of these institutions to issue early warnings, together with the exercise of the protection, prevention and defence of women's rights. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)
Summary of the 1st ICSSP-ICGSE Joint Event

Having the common objective of bringing together researchers and industry practitioners to share their research ndings, experiences, and new ideas as well as sharing topics of interest, the organizing committees of the 14th International Conference on Software and System Processes (ICSSP) and the 15th International Conference on Global Software Engineering (ICGSE) ceased the opportunity to explore the idea of bringing together the two communities once it was clear that the International Conference on Software Engineering and all its co-located events had to be redesigned as online events.
Minimal Viable IO drivers for TrustZone.

While TrustZone can isolate IO hardware, it lacks drivers for modern IO devices. Rather than porting drivers, we propose a novel approach to deriving minimum viable drivers: developers exercise a full driver and record the driver/device interactions; the processed recordings, dubbed driverlets, are replayed in the TEE at run time to access IO devices. Driverlets address two key challenges: correctness and expressiveness, for which they build on a key construct called interaction template. The interaction template ensures faithful reproduction of recorded IO jobs (albeit on new IO data); it accepts dynamic input values; it tolerates nondeterministic device behaviors. We demonstrate driverlets on a series of sophisticated devices, making them accessible to TrustZone for the first time to our knowledge. Our experiments show that driverlets are secure, easy to build, and incur acceptable overhead (1.4x -2.7x compared to native drivers). Driverlets fill a critical gap in the TrustZone TEE, realizing its long-promised vision of secure IO.
Industrial Training Report: Sabah State Library / Shahidatul Ain Idrus

Industrial training 1s compulsory for a final year bachelor student of Faculty of Information Management. The requirements are to be fulfil due to have a degree holder. I've choose Sabah State Library as my industrial training location. The duration of internship is 5 months starting from 1st August until 31st December 2019. Sabah State Library is a public library which has gained so much experience on serving community. Also, Sabah State Library are suitable for Information Management student to do their internship. This report consist of 4 chapter which are introduction, organizational information, industrial training activity and industrial training reflection. Chapter 3 and 4 are the highlight of this report which contain the daily activities, special project and the perspective towards the library.
Potentials of traditional cash metal coins versus digital contactless payment in the time of coronavirus pandemic

This paper addresses the challenges associated to the strength of potential for payment with traditional metal cash and paper money versus a non-cash method of payment in the era of the COVID 19 pandemic in the world and our country. The pandemic served to accelerate the contactless method of payment, because payment without contact is now not only a convenience, but a necessity. Before the pandemic in Europe, cash accounted for close to half of the payments, and in just a few weeks of the COVID 19 pandemic, it fell by 10 percent. Concepts that have so far preferred cash were definitely compromised during the pandemic crisis, and the pandemic is actually the strongest marketing of digital contactless payment methods so far, through the dominant contactless style of money exchange in the world and Europe, as shown in the paper we have today. Some research studies described in the paper in form of the health adventages of mobile wallet payments, as opposed to the proven health-threatening cash and coin-based cash payment model, indicate that the end of the cash era is approaching, being primarily accelerated by the health risk of COVID 19 infection. Particularly interesting is the live study conducted in the area of the northern Kosovo and Metohija, presented in a form of a set of financial services offered by the Postal Savings Bank of the Kosovska Mitrovica branch office, and relation between the contactless and cash payment model, before and after the COVID 19 pandemic. Naturally, all of this is accompanied by significantly limited knowledge related to SARS Cov 2, better known as the current COVID 19 pandemic.
Analysis of Linguistic Features and Speech Acts in Report Card Comments

This study examined the linguistic features of selected report card comments written by teacher-advisers of Philippine Science High School- Cagayan Valley Campus. Specifically, this is an inquiry as to how comments on report cards are written with emphasis on the prevailing sentence structures, use of pronouns, and mechanics which include punctuations, spelling, capitalization and grammar. This study utilized both quantitative and qualitative data to describe and analyze the present state of writing comments on report cards. Findings of this research revealed that most comments were written using compound sentence structure. Combined structures were also evident and use of fragment was observed as well. In terms of the use of pronoun majority were written in the second person point of view with notable undefined perspective. For errors in grammar, notable was the use of prepositions and pronoun-antecedent agreement. In terms of punctuations, the incorrect use of commas was the most rampant. Apparently, the written comments were compliant in terms of spelling. As report cards are given to parents, comments should be counter-checked by other school authorities, and they should consider giving orientation and write-shop to faculty-advisers. Because there were varied writing styles on report card comments, list of acceptable comments should be compiled to facilitate the giving of feedback and comments of students’ performance in school.
Extreme Learning Machine based Pattern Classifiers for Symbolic Interval Data

Interval data are usually applied where inaccuracy and variability must be considered. This paper presents a learning method for Interval Extreme Learning Machine (IELM) in classification. IELM has two steps similar to well known ELM. At first weights connecting the input and the hidden layers are generated randomly and in the second step, ELM uses the Moore–Penrose generalized inverse to determine the weights connecting the hidden and output layers. In order to use Moore–Penrose generalized inverse for determining second layer weights in IELM, this paper proposes four classification methods to handle symbolic interval data based on ELM. The first one uses a midpoint of intervals for each feature value then it applies a classic ELM. The second one considers each feature value as a pair of quantitative features and implements a conjoint for classic extreme learning machine. The third one represents interval features by their vertices and performs a classic extreme learning machine as well. The fourth one takes each interval as a pair of quantitative features after that two separated classic extreme learning machines are performed on these features and combines the results accordingly. Algorithms are tested on the synthetic and real datasets. A synthetic dataset is applied to determine the number of hidden layer nodes in an IELM. The classification error rate is considered as a comparison criterion. The error rate obtained for each proposed methods is 19.1667%, 15% , 6.5358% and 18.3333% respectively. Experiments demonstrate the usefulness of these classifiers to classify symbolic interval data.
초등학교 보건교사의 COVID-19에 대한 지식과 회복탄력성이 감염관리 업무수행에 미치는 영향

Purpose: This study aimed to identify factors relating to COVID-19 knowledge and resilience that impact elementary school health teacher performance at infection control. Methods: This study adopted a cross-sectional design. Data were collected from 140 elementary school health teachers by convenience sampling. Collected data were analyzed using SPSS Ver. 26.0. Results: Mean scores were as follows COVID-19 knowledge 17.99±2.37 (range 0-23), resilience 120.36±16.90 (range 30–150), and performance at infection control 85.91±10.07 (range 25–100). A positive correlation was observed between resilience and infection control performance (r=0.57, p＜.001). Factors found to influence participant performance at infection control were resilience (β=0.54, p＜.001) and two categories of educational experience: 11–15 years (β = 0.24, p=.011) and more than 20 years (β=0.29, p=.044). Conclusion: These results indicate the resilience of elementary school health teachers positively affects their performance at infection control. Generally, both age and work experience affected ability to perform infection control. Therefore, this study supports the need to develop programs to increase the resilience of elementary school health teachers according to infection control performance and age.
Pelaksanaan Retensi Berkas Rekam Medis

Medical records are essential documents or archives that contain information about patients, such as their health records, examinations, medications, actions, and other services. Health facilities should maintain medical records in order to facilitate patient care, comply with legal and regulatory requirements, obtain accreditation, research, education, and reimbursement materials, and the administration of supporting facilities. However, lack of proper and adequate space, insufficient budget, and insufficient human resources are some of the issues that occur in medical record retention. The aim of this study is to analyze how medical record retention is implemented in order to enhance the efficiency of health document management. A literature review, or what is known as a literature review, was used as the analysis tool. The findings revealed that, of the various options for implementing medical records retention, digitizing medical records was considered to be more effective in achieving health document management integration
Response to Célérier and Tak (April 2021)

Stein and Yannelis (2020) (SY) study the short-term impact of the Freedman’s Savings Bank on human capital, labor market, and wealth outcomes. This short note is a response to Celerier and Tak (2021) (CT), which offers comments on SY, claiming to “empirically reject the assumptions of the study’s identification strategy” and arguing that “financial inclusion can be detrimental to minorities.” We show their claims are driven by a serious data error and by omitting data, and that their empirical tests do not evaluate the identification assumption in SY. After using an alternative matching strategy which throws out four-fifths of matches, CT present estimates with very large standard errors. We show that these estimates cannot statistically reject large effects, including many of the point estimates in SY.
SYSTEM DESIGN OF MULTITHREADED WEB SERVER WITH BACKEND DATABASE CONNECTIONS

Web server application creates multiple duplicated subprocesses. Each subprocess software threads listen to a dedicated web socket. Server portal subprocess uses shared list to inform clients which web socket to establish connection with. Moreover, it uses shared queue to aggregate the clients’ database queries. When queue has DB queries, multiple DB connection threads will be invoked to read or write data concurrently to the database. When shared queue is empty, shared queue will put the DB connections threads into wait state to idle instead of disconnecting the connections.
Library and Academic Services: Citation: Welcome

This guide will help you will find resources on APA, MLA, IEEE, and Chicago citation styles, how to do them, and how to incorporate them into your paper.
Психоанализ и нейрофизиология: перспективы взаимодействия в лечении обсессивно-компульсивного расстройства (МКБ код 42.0):

The article is devoted to research of interdisciplinary field between psychoanalysis and neurophysiology. On the example of the cure of obsessive-compulsive disorder (ICD code 42.0) author compares the clinical approach of psychoanalysis with neurosurgery methods: deep brain stimulation and laser ablation.
ASSISTIVE TECHNOLOGY INTEGRATION FOR CHILDREN WITH SPECIFIC LEARNING DISABILITIES: A SYSTEMATIC LITERATURE REVIEW PERSPECTIVE FROM MEXICO

An important resource for children with learning disabilities to flourish in the classroom is access to assistive technology. To prepare children on how to utilize assistive technology in the learning environment is important for teachers. According to the Individuals with Disability Education Act (IDEA), any equipment that is used to improve functional capabilities of individuals with disabilities is considered as AT. It may include any software program, or product system that is used to increase, maintain, or improve the functional capabilities of people with disabilities. By implementing assistive technology as an integration to school curriculum, the educators can assist children with special needs by providing remedies to solve specific learning problems and can promote independent learning. The emergence of special education in the sense of educating abnormal students emerged during the first stage and is closely related to the principle of mandatory education. By the end of the 19th and the beginning of the 20th centuries the idea of mandatory and universal elementary education gained momentum in Mexico. The implementation of such education revealed that there were many abnormal children who required a special pedagogy. It is at this time that the government took charge of the institutions where children with mental, visual, and auditory impairments had been rehabilitated and treated with the support of private and public welfare and transformed them into educational environments. With technology, an individual physically unable to speak can communicate with spoken language. Using a portable voice synthesizer, a student can ask and respond to questions in the regular classroom, overcoming a physical obstacle that may have forced placement in a special segregated classroom or required a full-time instructional aide or interpreter to provide a voice. Technology is providing more powerful and efficient tools to teachers who work with children with disabilities. To enhance the delivery of special education services, the Mexican National Public Education Secretariat developed two systems: support service units for regular schools and multiple attention centers. Support service units for regular schools. Support service units are designed to provide adaptations to curricula on the basis of the context and characteristics of the communities in which the schools are located.Keywords: Assistive, Technology, Integration, Specific, Learning, Disabilities, Systematic
The Dark $Z'$ and Sterile Neutrinos Behind Current Anomalies.

We show how, in the $B-L$ extension of the SM (BLSM) with an Inverse Seesaw (IS) mechanism for neutrino mass generation, a light $Z'$ state with moderate couplings to SM objects, hence `dark' in its nature, can be associated, in conjunction with light sterile neutrinos, to some present day data anomalies, such as the anomalous magnetic moment of the muon as well as a possible signal indicating the existence of sterile neutrinos in neutrino beam experiments.
AN ERROR ANALYSIS OF SIMPLE PRESENT IN WRITING DESCRIPTIVE TEXT THROUGH THE ELEVENTH GRADE STUDENTS: Analisis Kesalahan Simple Present Dalam Menulis Teks Deskriptif Pada Siswa Kelas Sebelas

The research was conducted to identify the errors are made by the eleventh grade of IPA students at Madrasah Aliyah Al Ikhlas Amberi in writing descriptive text by using simple present. The objective of the research is to find out the type of errors made in writing descriptive text by using simple present. This research applied descriptive qualitative research method by using Surface Strategy Taxonomy to analyze the data. The result of this research showed that the total of errors were 279 errors. The proportions (frequency and percentage) of the students’ error in writing descriptive text by using simple present was, students made errors in omission type  were 27 students  with 74 errors or 26,52% of errors, students made errors in addition type were 19 students with 37 errors or 13,26 % of errors, students made errors misformation  type were 30 students  with 142 errors or 51,00 % of errors, and students made errors in misordering type were17 students with 26 errors or 9,31 % of errors. From the data above, it could be concluded that misformation type was the highest number of errors made by the students and misordering type was the lowest number of errors made by the students.
The Oloture Dispute and Unaddressed Data Protection Concerns

When sometime early December 2020, my wife, an Assistant Chief Legal Aid Officer with the Legal Aid Council of Nigeria persuaded me to see the Nigerian movie titled “Oloture” produced by EbonyLife Films, I was disappointed at the anti-climax since the villains were neither apprehended nor brought to criminal justice. At the time, little did we both know that, there may be real time legal issues to the movie even at the time of filming, if the claims and counterclaims of copyright infringement flying around are anything to go by.
PENGARUH KUALITAS LAYANAN DAN LOKASI TERHADAP KEPUASAN DAN LOYALITAS PELANGGAN (STUDI KASUS PADA DONâ€™S WARNET)

AbstractThis research aims to identify and examine the factors that may affect the customer's satisfaction and loyalty in Don's Warnet Cikarang. With a sample size of 200 people, the research carried out on the visitors who have used the services of Don's Warnet, and conducted by purposive sampling technique. The results show that customer satisfaction is positively and significantly influenced by the quality of service and location factors. As for the only customer loyalty is positively and significantly influenced by customer satisfaction factors. The moderating variable frequency of visits and customer's place of residence does not give significant results on satisfaction and customer loyalty. Thus , it can be concluded that in order to get satisfaction and customer loyalty , besides place the business location that is close to the customer's environment, Don 's Warnet should further improve the quality of services , especially in the field of reliability of internet access , responsiveness operators , security environment and a sense of empathy towards the customer . So the satisfaction perceived by customers, is expected to make a loyal customer to the products / services used.AbstractThis research aims to identify and examine the factors that may affect the customer's satisfaction and loyalty in Don's Warnet Cikarang. With a sample size of 200 people, the research carried out on the visitors who have used the services of Don's Warnet, and conducted by purposive sampling technique. The results show that customer satisfaction is positively and significantly influenced by the quality of service and location factors. As for the only customer loyalty is positively and significantly influenced by customer satisfaction factors. The moderating variable frequency of visits and customer's place of residence does not give significant results on satisfaction and customer loyalty. Thus , it can be concluded that in order to get satisfaction and customer loyalty , besides place the business location that is close to the customer's environment, Don 's Warnet should further improve the quality of services , especially in the field of reliability of internet access , responsiveness operators , security environment and a sense of empathy towards the customer . So the satisfaction perceived by customers, is expected to make a loyal customer to the products / services used.
Adaptive Unscented Kalman Filter for Tracking GPS Signals in the Case of an Unknown and Time-Varying Noise Covariance

A new adaptive unscented Kalman filter (AUKF) is proposed to estimate the radio navigation parameters of a GPS signal tracking system in noisy environments and on a highly dynamic object. The experimental results have shown that the proposed AUKFbased method improves the GPS tracking margin by approximately 8 dB and 3 dB as compared to the conventional algorithm and the KF-based tracking, respectively. At the same time, the accuracy of Doppler frequency measurements increases as well.
An Adaptive FCM-based Approach of First Arrival Time Picking for Microseismic Data

Accurate picking of first arrival time plays a critical role in event localization and further data processing in microseismic(MS) monitoring. A large amount of data from receivers make effective automatic time picking method an urgent issue. In this letter, we proposed an adaptive automated time picking approach based on fuzzy c-means (FCM) clustering algorithm. First, by applying FCM, data points are assigned to two clusters with certain membership degrees: signal cluster and noise cluster. Then the vector describing data points to signal cluster center is extracted from the membership degree matrix. Second, considering the shortcoming of a preset threshold, correlation coefficient based adaptive selection algorithm is performed to obtain an optimal threshold for MS event picking. Finally, tests on the synthesis and real data illustrate that our approach outperforms the short-term and long-term average ratio (SLTA) and Akaike information criterion (AIC), and it is more robust than the traditional FCM-based picking method.
Analysis of Secure Caches using a Three-Step Model for Timing-Based Attacks

Many secure cache designs have been proposed in literature with the aim of mitigating different types of cache timing–based attacks. However, there has so far been no systematic analysis of how these secure cache designs can, or cannot, protect against different types of the timing-based attacks. To provide a means of analyzing the caches, this paper presents a novel three-step modeling approach that is used to exhaustively enumerate all the possible cache timing–based vulnerabilities. The model covers not only attacks that leverage cache accesses or flushes from the local processor core, but also attacks that leverage changes in the cache state due to the cache coherence protocol actions from remote cores. Moreover, both conventional attacks and speculative execution attacks are considered. With the list of all possible cache timing vulnerabilities derived from the three-step model, this work further manually analyzes each of the existing secure cache designs to show which types of timing-based side-channel vulnerabilities each secure cache can mitigate. Based on the security analysis of the existing secure cache designs using the new three-step model, this paper further summarizes different techniques gleaned from the secure cache designs and their ability help mitigate different types of cache timing–based vulnerabilities.