Reviewerly/exHarmony huggingface dataset:
Using Mobile-Learning at Transilvania University in the Pandemic and Post-pandemic

Speeded by the pandemic virus conditions, universities and colleges adapted their education to new distance forms. Therefore, higher education faculties were able to consider the opportunity to expand their learning possibilities with mobile learning. They encouraged students to learn, to research, collaborate, and share ideas among them with the aid of internet and technology development. The aim of this paper is to present students and educators’ attitudes and efforts towards the use of M-learning in diverse domains of higher education, pointing out the established benefits and problems. As M-learning implies server updates, new contracts for speed internet and hiring more IT specialists in order to identify the existing strengths and weaknesses and to facilitate the development of the technology infrastructure, we present the case of online teaching in the departments of Transilvania University. We want to have an overview of the two years of teaching online during pandemics and the impact it had on the students.
Development and Validation of Models for Preoperative Risk of Postoperative Infections Using Electronic Health Records Data

Introduction: The American College of Surgeons (ACS) NSQIP and the National Health and Safety Network (NHSN) provide risk-adjusted postoperative infection rates for hundreds of hospitals across the US. However, manual review of electronic health records (EHR) is burdensome, expensive, and inefficient. The purpose of this study was to develop and validate preoperative prediction models for infectious adverse events using machine learning techniques which does not require manual chart review. Methods: We developed models for postoperative infection surveillance using EHR data linked to ACS NSQIP outcomes data. Combined with the preoperative risk models presented here, we will estimate risk-adjusted postoperative infection rates. EHR predictors included laboratory data, procedures, diagnosis phenotypes, wound class, surgeon specialties, comorbidities, and other operative variables. We used the knockoff filter to select predictors for the following outcomes: surgical site infection, urinary tract infection, sepsis/septic shock, and pneumonia. Predictors were first selected by the knockoff filter in a training dataset, then logistic regression models were fit using the selected predictors. Performance was evaluated in the test dataset. Results: Each model contained between 6-12 predictors, and achieved >66% sensitivity, >75% specificity, and 0.75-0.9 area under the curve in the test dataset. This is similar performance compared with the ACS NSQIP risk calculator and other previously published preoperative risk calculators that require user manual input. Conclusion: Preoperative risk was estimated with good performance in a large healthcare system using EHR data. These models can be combined with postoperative surveillance models to estimate risk-adjusted rates of postoperative infections at the surgeon and subspecialty levels for all operations.
When are Local Queries Useful for Robust Learning?

Distributional assumptions have been shown to be necessary for the robust learnability of concept classes when considering the exact-in-the-ball robust risk and access to random examples by Gourdeau et al. (2019). In this paper, we study learning models where the learner is given more power through the use of local queries, and give the first distribution-free algorithms that perform robust empirical risk minimization (ERM) for this notion of robustness. The first learning model we consider uses local membership queries (LMQ), where the learner can query the label of points near the training sample. We show that, under the uniform distribution, LMQs do not increase the robustness threshold of conjunctions and any superclass, e.g., decision lists and halfspaces. Faced with this negative result, we introduce the local equivalence query ($\mathsf{LEQ}$) oracle, which returns whether the hypothesis and target concept agree in the perturbation region around a point in the training sample, as well as a counterexample if it exists. We show a separation result: on the one hand, if the query radius $\lambda$ is strictly smaller than the adversary's perturbation budget $\rho$, then distribution-free robust learning is impossible for a wide variety of concept classes; on the other hand, the setting $\lambda=\rho$ allows us to develop robust ERM algorithms. We then bound the query complexity of these algorithms based on online learning guarantees and further improve these bounds for the special case of conjunctions. We finish by giving robust learning algorithms for halfspaces on $\{0,1\}^n$ and then obtaining robustness guarantees for halfspaces in $\mathbb{R}^n$ against precision-bounded adversaries.
Project PUSH (Personnel Upgrade and Skills Harmonization): Improving the work performance of the personnel unit of Schools Division Office of Paranaque city

The fast-gearing and sudden changes in the work landscape brought by the pandemic have forced many organizations to undergo significant transformation and rethinking of the key elements of their processes and work systems including the migration of most office transactions to the digital platform. However, this also demands organizations to produce strategic personnel upgrades and skills harmonization programs to improve the work performance of the employees specifically tailored in the present work landscape. The purpose of this study was to prove the effectiveness of Project PUSH (Personnel Upgrade and Skills Harmonization) as a technical assistance model to improve the work performance of the employees in the Personnel Unit of SDO-Paranaque. This study was a mixed method experimental research design under the pre-experimental category which utilized one group pre-test-post-test. A total of 11 non-teaching personnel took part in the study and have been selected purposively. Initially, a survey questionnaire on personnel needs assessment was conducted as a basis for skills upgrade and harmonization. Then the midyear rating of the participants was collected as baseline data prior to the employment of the program. After the implementation of the program, the final rating was collected for comparison and interpretation. To determine whether there is a statistically significant difference on the mean scores on the skills categories before and after the intervention as well as the ratings for midyear and final rating, t-test was employed. The results revealed that for both computations, there was a statistically significant difference between the mean scores. The result of the qualitative analysis paralleled to the quantitative data presented which also indicated a positive impact to the participants in terms of communication, ICT, work, and social skills and manifested in their performance rating. Evidently, the intervention as a technical assistance model was effective. Research or Personnel implications were provided for future research directions.
The Effect of Intellectual Capital on Innovative Performance with the Mediating Role of Qazvin Health Staff’s Empowerment: A Path Analysis

Background: Nowadays, since many health care organizations are facing a crisis of declining productivity and labor force stagnation, productivity can be improved through identifying and strengthening the components affecting the labor force productivity and performance. Thus, the present study was aimed at determining the effect of intellectual capital on innovative performance with the mediating role of health staff’s empowerment in Qazvin University of Medical Sciences.&#x0D; Methods: This is a descriptive-analytical cross-sectional study carried out in 2021. Three hundred and four staff of the Health Department and Health Networks participated in the research by the available sampling method. The Bontis questionnaire was employed for measuring the intellectual capital, the Spritzer questionnaire for measuring staff’s empowerment, and the Huang and Li questionnaire for measuring innovative performance. Moreover, for preliminary data analysis, SPSS25 Software was used as well as AMOS software for structural equation modeling at a significance level of 0.050 %.&#x0D; Results: The results of the path coefficient among the model variables on each path, corresponding to the research hypotheses, are positive, revealing a positive relationship among the research variables. The path coefficient of the direct relationship between intellectual capital and innovative performance was equal to 0.767 (P-value &lt; 0.001). Moreover, the relationship between intellectual capital and empowerment was equal to 0.306, and between empowerment and innovative performance was equal to 0.153, both of which were significant (p &lt; 0.001). Furthermore, indices of fit including NFI = 0.652, RMSEA = 0.064, GFI = 0.710, and CFI = 0.769 exhibited a relatively good fit of the final model.&#x0D; Conclusion: Given the direct relationship between model variables, the University of Medical Sciences’ managers and health officials should provide the bed for improving the capacity of human resources and innovative performance through developing intellectual capital besides creating a platform to play an effective role in the organization. Accordingly, effective and innovative performance based on responding to the human resources’ changing needs in all sectors may be imagined.
A study on the signal of exposure and learner responses in novels

본 연구는 청소년들에게 자기 성찰 능력과 소통 능력을 기를 수 있는 길라잡이가 될 수 있기를 희망하며 출발했다. 이를 위해 작품에 나타난 “드러냄의 신호” 체계에 중점을 두고 학습자의 반응형태와 의사소통 양상을 고찰한 후 ‘교수-학습’ 방안을 탐색했다. 이 과정에서 개별 학습, 모둠별 학습, 반별 수업 분위기와의 유의미성을 도출했다. 그리고 드러냄의 신호에 반응하는 작용, 반작용의 과정을 통해 학습자의 기질별 특성과 진로 유형의 유의미성을 발견했다. 본 연구에서 시도된 진로 관련 문학 수업은 첫째, 학습자 스스로 자신을 이해하고 성찰할 수 있는 매개체 역할을 할 수 있다고 본다. 둘째, 논의를 통해 제언한 ‘교수-학습’ 방향은, 청소년들이 꿈과 진로를 탐색할 수 있도록 안내하는 수업 모델로서의 가능성을 시사하고 있다. 끝으로 본 연구에서 시도된 ‘교수-학습’ 방법의 효율성은 학교 수업에서 얻은 결과물을 통해 증명되었다. This study was conducted with the hope that it will help young people develop self-reflection and communication skills. To this end, the ‘teaching-learning’ method was explored after examining the learner’s reaction and communication patterns, focusing on the signal system shown in the work. In this process, we found a correlation with individual learning, group learning, and class atmosphere. And through the process of reaction and reaction to the signal of exposure, the relationship between the characteristics of each learner"s temperament and the type of career path was examined. First, I believe that the lessons attempted in this study can serve as a medium through which learners can understand and reflect on themselves. Second, the literature class suggested through this study has the potential as a "teaching-learning" model that can guide young people"s dreams and career exploration directions. In concluding, The effectiveness of the "teaching-learning" method attempted in this study was demonstrated through the results obtained from field classes.
Memory recall method and its meaning in Korean Ceremonial Writing written by women -Focusing on Ceremonial Writing for Husband written by Seung Jo

본 연구에서는 조승이 남편을 위해 쓴 제문을 대상으로 20세기 초 폭력적 시대를 살아간 남편에 대한 기억을 재현하는 방식과 화자 자신의 평가, 감정을 드러내는 양상을 살펴보았다. 조승은 남편을 위한 장편의 제문에서 자신이 기억하는 남편 김일기의 행적을 시간의 흐름에 따라 정리하고 자신의 회한을 풀어낸다. 조승은 한정된 정보로 남편 김일기의 삶을 보여주지만, 그가 외부의 폭력으로 피폐해진 생계와 집을 복원하는 것을 삶의 목표로 삼게 된 과정을 이해할 수 있도록 서사를 완성한다. 그러나 남편을 이상적으로 형상화하기보다 그의 심리적 불안과 굴곡진 감정을 노출하면서 ‘인간 김일기’를 연민의 시선으로 그려낸다. 그리고 화자는 목격자의 위치에서 사건을 해석하는 당사자의 자리로 옮겨서 남편 죽음의 의미를 분석하고 애도한다. 서술 방식의 전환으로 청자/독자도 김일기의 삶에 몰입하여 이해하게 되며 그가 자신의 소망에 제대로 이르지 못한 한에 공감하게 된다. 제문 속에서 화자는 여자된 도리를 다하면서 가족들의 ‘집’을 유지하고 김일기는 그럴듯한 생활이 가능한 물리적 ‘집’을 마련하면서 외부의 폭압을 견디고 삶의 의미를 확보하고자 한다. 국가의 개념이 흔들리고 부정될 때 ‘집’은 개인들에게 더욱 중요한 삶의 근거가 되었다. 그러나 김일기가 삶의 목표에 도달하지 못하고 화자는 이러한 남편을 안쓰러운 시선으로 포착한다. 조승의 제문은 김일기를 애도하는 개인적인 글이지만, 김일기는 당시 집에서 유리된 수많은 개인들의 다른 이름일 수 있다. 여기서 이 글의 개별적, 혹은 시대적 의미를 확인할 수 있다. This study examines the method of reproducing memories of her husband who lived in a violent era in the early 20th century, and the aspects of revealing her own evaluations and emotions, targeting Seung Jo"s Ceremonial Writing for her husband. In a long Ceremonial Writing for her husband, Seung Jo arranges the actions of her husband Il-gi Kim, which she remembers, according to the passage of time, and solves his regrets. Seung Jo shows the life of Il-gi Kim with limited information, but completes the narrative so that he can understand the process by which he made his life goal of restoring a living and home ravaged by external violence. However, rather than ideally portraying her husband, Seung Jo portrays Il-gi Kim with compassionate eyes, exposing his psychological anxiety and fluctuating emotions. And the narrator moves from the position of the witness to the position of the party who interprets the incident, analyzes the meaning of the husband"s death and mourns. By changing the narrative style, the listener/reader also becomes immersed in the husband"s life and understands it, and sympathizes with the resentment that he did not properly reach his wishes. In Ceremonial Writing, the narrator is doing the woman"s duty to maintain a family home, and Il-gi Kim wants to provide a physical house where he can live a wealthy life. Through this, they tried to withstand external tyranny and secure the meaning of life. However, Il-gi Kim did not reach the goal of her life, and the narrator captures the life of her husband with a pitiful gaze. Seung Jo"s Ceremonial Writing is a personal piece of mourning for Il-gi Kim, but Il-gi Kim could be another name for a number of individuals who were separated from their homes/houses at the time. Here, we can check the individual or historical meaning of this article.
The content value and the concept of fiction in the first half of the 1920s

1920년대 전반기, 소설의 내용적 가치라는 말이 일본과 한국에서 거론되었다. 이들은 형식적 완성도를 소설의 가치 판단 기준으로 여기던 기존의 관행 대신하여, 제재 혹은 내용을 그 기준으로 내세웠다. 그러나 그렇게 했던 이유는 달랐는데, 일본에서는 유기적, 시적인 것이 아니라 일상생활적인 것이 소설 장르의 고유한 특성이라고 보았기 때문이며, 한국에서는 소설의 제재가 되는 일상생활이 계급적으로 다르게 체험된다고 보았기 때문이다. 그러나 이와 같은 차이에도 불구하고 한국과 일본에서는 소설이라는 장르가 사실은 분열되고 모순된 삶의 구체성을 대상으로 한다는 점을 이해하기 시작했다. 그 구체적 삶 속에는 충만한 예술성뿐만 아니라 도덕적 가치, 공리적 판단, 정치적 태도 등도 포함된다는 점을 부각시켰다. 이는 소설 장르의 고유한 특성을 매개로 해서, 예술성의 개념이 확장되어야 함을 의미한다. 동시에 현실적 삶을 재현한다는 근대소설의 개념이 누군가에 의해서 정의되어야 할 ‘논쟁의 장소’였음을 의미한다. In the first half of the 1920s, the word content value of novels was discussed in Japan and Korea. Instead of the existing practice of considering formal perfection as the standard for judging the value of a novel, they set up sanctions or content as the standard. However, the reason for doing so was different, because in Japan, it was seen that everyday life, rather than organic, poetic, was an inherent characteristic of the novel genre, and in Korea, everyday life, which was a sanction for novels, was experienced classically differently. However, in spite of these differences, Korea and Japan are beginning to understand that the genre of fiction is, in fact, the object of a divided and contradictory life concrete. It was emphasized that the concrete life includes not only full artistry, but also moral values, axiomatic judgment, and political attitude. This means that the concept of artistry should be expanded through the unique characteristics of the novel genre as a medium. At the same time, it means that the concept of a modern novel that reproduces real life was a "place of debate" that had to be defined by someone.
Development of Automated Attendance System Using Face Recognition

Attendance marking during a lecture in a classroom is not only &nbsp;challenging but also a time-consuming task. There will always be a possibility of proxy attendance. It's proven to be difficult to track attendance using traditional ways. In recent years, common biometrics like fingerprints are used to overcome the problem of automatic attendance marking. Rather than using traditional methods, the suggested solution intends to create an automated system that uses facial recognition technology to record the student's attendance. The primary goal of this project is to make the attendance tracking and management system more efficient, time-saving, simple, and straight-forward. Face recognition techniques will be used here to identify faces. The processed image will then be compared to the existing stored record and attendance will be recorded accordingly in the database.
CollegeSource Online

CollegeSource Online is a source for information on national and international colleges and universities. Per the vendor, it has “thousands of users, including students, parents, advisors, faculty, and college administrators,” and “every day CollegeSource, Inc. sites receive over a million hits and log nearly 5,000 hours of active use.” It contains 169,409 catalogs and information on 138,816,469 courses, drawn from 7,492 institutions (as of August 13, 2022). Aside from courses and catalogs, CollegeSource Online provides each college or university's location and website, as well as information on how to interpret its transcript and a detailed profile. The composition of the latter can vary, but often contains enrollment, institution type, degree levels, accreditation, admission, financial aid, calendar system, and tuition and fees, among others.Navigating this database is uncomplicated, because its composition is simple and there are only two search options, a single search bar and a Search button (i.e., Advanced Search). However, several (though not all) of the limiters under the Search button do not work properly, diminishing its effectiveness. Nevertheless, institutions can be found by name and location with relative ease. No specific pricing is available; it is determined by student enrollment, so potential subscribers should contact the vendor for more precise pricing. The licensing agreement for this database is relatively short, understandable, and standard in its composition, so it presents little cause for concern.
Individual educational trajectories of teaching a foreign language at a university

In todays changing developing the personalized higher education which takes into account the characteristics and educational needs of the student is an increasingly relevant task. Its importance is reflected in the legislative acts and requirements of the Ministry of Science and Higher Education of the Russian Federation. This study discusses the implementation of the individual learning path in teaching a foreign language at the university. The purpose of the individual learning path is to improve the system of modern Russian higher education and expand the individual needs of students necessary for mastering the profession, for future professional activity and, accordingly, competitiveness in the labor market. In this study, the individual learning path is interpreted as a way of organizing educational activities which provides for the formation of an individual curriculum for the student in cooperation with the teacher as well as considers students current and necessary levels of training in the discipline (disciplines), their personal potential, and abilities to achieve the goals of the educational process and to complete the curriculum or its part. The implementation of the individual learning path involves identifying the features of structuring the learning process, identifying the advantages and problems in the implementation of the individual learning path, creating a resource base for its implementation, identifying of the specifics and creating pedagogical conditions for building of the individual learning path at a university to meet the needs of students, improve the quality of their education and career growth. During the transition from the traditional educational model to the individual learning path model, conditions should be created for its implementation, and participants in the educational process need to know its positive aspects and possible difficulties. An important element of the individual learning path model in teaching a foreign language is the interaction in the employer-student-university triad
Verification System for Handwritten Signatures with Modular Neural Networks

Handwritten signature is considered as one of the primary biometric processes for human verification in various applications including banking and legal documentations. In general, the handwritten signatures are verified with respect to the pressure, direction and speed followed on a plain document. However, the traditional methods of verification are less accurate and time consuming. The proposed work aims to develop a deep learning -based approach for handwritten signature verification process through a Modular Neural Network algorithm. The work utilized the handwritten signatures dataset downloaded from the kaggle website that consists of original and forged signatures of 30 individuals. The work also included a set of 20 individual signatures for improving the sample count on training and verification process.
Semantic Reusable Web Components: A Use Case in E-Government Interoperability

Advancements in technology and software engineering strive to efficiently build robust technologies and deliver them as fast as possible. It has been shown that both could be achieved by reusing existing implementations, libraries, components, and even frameworks. In the field of public administration, which needs to follow and implement national and EU regulations, it is essential to not only have compatible semantic data structures and processes but also to enable cross-sector and cross-border integrations. In this paper, we present the Digital Europe for All project, more specifically, a use case of a reusable prototype - A web component based on semantic data representation. We show that the component can be easily integrated into an arbitrary Web site and supports arbitrary evidence types, represented using the project's ontologies. Reusing such components enables faster creation of interoperable digital public services and opens new opportunities, better mobility, faster processes, and reduced implementation costs.
Class teacher and student group curator: Updating the training strategy and methodology: All-Russian scientific and practical conference

The article provides information about the upcoming on October 25–27, 2022 All-Russian scientific and practical conference with international participation “Class Teacher and Student Group Curator: Updating the Training Strategy and Methodology”. The purpose of the conference is to determine the specifics and methods of training class teachers and student group curators, to generalize advanced pedagogical experience, scientific and methodological support in the course of training class teachers and student group curators. The conference will be held on the basis of Novosibirsk State Pedagogical University.