Reviewerly/exHarmony huggingface dataset:
THE ROLE OF USING COMPUTER DATA TO DIAGNOSE COMPLIANCE ON STAFF AT AL-DUR HOSPITAL, AN ANALYTICAL AND STATISTICAL STUDY

The paper aimed to diagnose the reality of organizational commitment in light of the Corona pandemic among the staff of Al-Dur Surgical Hospital in Iraq as a field for conducting the field side, as the research sample included (103) hospital employees. The research relied on a questionnaire form as the main tool for collecting field-side data. These data were analysed using statistical programming (SPSS). A number of statistical methods were used to test the hypotheses such as the frequency distribution, the arithmetic mean and the standard deviation. The research reached a number of conclusions, the most important of which is that there is a good organizational commitment at the level of emotional commitment, normative commitment and continued commitment of the individuals researched because they have a sense of responsibility and desire to work, and a number of recommendations were the most important of which it is necessary to establish the reality of organizational commitment in the hospital and to have a working approach It is emulated in all functional activities in order.
Minor Embedding in Broken Chimera and Pegasus Graphs is NP-complete.

The embedding is an essential step when calculating on the D-Wave machine. In this work we show the hardness of the embedding problem for both types of existing hardware, represented by the Chimera and the Pegasus graphs, containing unavailable qubits. We construct certain broken Chimera graphs, where it is hard to find a Hamiltonian cycle. As the Hamiltonian cycle problem is a special case of the embedding problem, this proves the general complexity result for the Chimera graphs. By exploiting the subgraph relation between the Chimera and the Pegasus graphs, the proof is then further extended to the Pegasus graphs.
Upaya Peningkatan Hasil Belajar Matematika pada Siswa Kelas 4 Melalui Model Pembelajaran Project Based Learning dengan Berbantu Google Meet

The purpose of this study is to improve mathematics learning outcomes in grade 4 students through the application of the Project Based Learning learning model. The type of research is classroom action research (CAR). The CAR model used was the C. Kemmis & Mc Taggart spiral model which was carried out in 2 cycles. Data collection techniques are test techniques and non-test techniques. The research instrument using questions and observation sheets. The data analysis technique used is comparative descriptive. Based on the results of the study, it was shown that the cognitive domain of mathematics learning outcomes based on the percentage of completeness of pre-cycle, first and second cycle learning outcomes was 45,1%; 73,0%; 86.8%.
Automatic Generation of Tutorial Systems on PC for Smartphone Applications

As the complexity of smartphone applications has appeared, tutorial systems have become essential. This study proposes an almost automatic generation of tutorial systems that can run on a PC for smartphone applications. Suitable tutorial messages are displayed via a connection between the smartphone application and the tutorial system on a PC. In order to provide users with suitable tutorial messages for frequently used functions of the smartphone applications, tutorial systems dynamically use the log data of operations. Log data consists of existing log data and newly collected log data. Existing log data is divided into teacher data and previously collected user log data. Teacher data is collected before the execution of tutorial systems. Previously collected user log data is that from the past execution of the smartphone application. Newly collected log data is that from the current user execution of the smartphone application. The approach in this study adds tutorial functions to existing smartphone applications without tutorial functions, with minimum effort.
La gamificación para la formación del profesional en ciencias de la información mediante las Tecnologías de la Información y la Comunicación 

Actualmente la educacion superior se encuentra afectada por el desinteres, casi masivo, por parte de sus estudiantes. Los mismos necesitan involucrarse mas en su proceso de formacion, por lo que el profesorado debe buscar las vias y los recursos que esten a su alcance para revertir este fenomeno. Los docentes de la carrera Ciencias de la Informacion de la Universidad Central “Marta Abreu” de Las Villas deben explorar metodologias novedosas y realizar un mayor uso de las TIC, para dinamizar el contenido academico con el fin de promover el aprendizaje y generar nuevas experiencias. La investigacion persigue caracterizar la gamificacion como una estrategia para la formacion del profesional en Ciencias de la Informacion a traves de las TIC. Se emplearon como metodos y tecnicas el analisis documental y la revision de documentos. La aplicacion de la gamificacion, como metodologia activa, a traves de las TIC puede dotar al profesional de la informacion de nuevas herramientas para impulsar el aprendizaje autonomo.Palabras clave: Gamificacion, Tecnologias de la Informacion y la Comunicacion (TIC), Educacion Superior, Ciencias de la Informacion. ABSTRACTCurrently higher education is affected by the almost massive lack of interest on the part of its students. They need to be more involved in their training process, so teachers must seek the ways and resources that are within their reach to reverse this phenomenon. Teachers of the Information Sciences career at the Central University Marta Abreu of Las Villas must explore new methodologies and make greater use of ICT, to stimulate academic content in order to promote learning and generate new experiences. The research aims to characterize gamification as a strategy for the training of professionals in Information Sciences through ICT. Documentary analysis and document review were used as methods and techniques. The application of gamification, as an active methodology, through ICT can provide the information professional with new tools to promote autonomous learning.Keywords: Gamification, Information and Communication Technologies (ICT), Higher Education, Information Science.
LibGuides: RAE - Research Administration and Engagement - Research Lifecycle & Support: Digital Profile in the Global Research Community

This guide provides links for services and tools for projects, writing, planning, and management as you progress through the research project from inception to publication.
Δεύτερη ή Ξένη: Επαναπροσδιορίζοντας τους όρους στη διδασκαλία της Ελληνικής σε διαφορετικά περιβάλλοντα μάθησης

The aim of the current study is, firstly, to present the research project LETEGR2 and more specifically its sub-studies that focus (a) on teaching Greek as a Second/ Foreign Language in different learning contexts and (b) on teacher education. Secondly, to present an example of the use of the LETEGR2 corpus, in order to illuminate its research framework and methodology. As an example, the present paper explores the use of mediate language in the teaching of Greek in Greece and abroad through the analysis of multisource data (classroom observations, interviews and focus groups).
Quadrotor going through a window and landing: An image-based visual servo control approach

This paper considers the problem of controlling a quadrotor to go through a window and land on a planar target, the landing pad, using an Image-Based Visual Servo (IBVS) controller that relies on sensing information from two on-board cameras and an IMU. The maneuver is divided into two stages: crossing the window and landing on the pad. For the first stage, a control law is proposed that guarantees that the vehicle will not collide with the wall containing the window and will go through the window with non-zero velocity along the direction orthogonal to the window, keeping at all times a safety distance with respect to the window edges. For the landing stage, the proposed control law ensures that the vehicle achieves a smooth touchdown, keeping at all time a positive height above the plane containing the landing pad. For control purposes, the centroid vectors provided by the combination of the spherical image measurements of a collection of landmarks (corners) for both the window and the landing pad are used as position measurement. The translational optical flow relative to the wall, window edges, and landing plane is used as velocity cue. To achieve the proposed objective, no direct measurements nor explicit estimate of position or velocity are required. Simulation and experimental results are provided to illustrate the performance of the presented controller.
New Approaches to On-Line Collaboration in Times of COVID-19 Pandemic

On-line collaboration has become a vital necessity and a beneficial instrument of providing continuous educational process under the COVID-19 pandemic. Since health security reasons forced governments to introduce lockdown and social distancing rules, the educational establishments in many countries made considerable efforts to meet new demands. The paper focuses on the results of the research into advantages and disadvantages of on-line collaboration in educational process. Students and teaching staff of the linguist and non-linguist faculties of the MGIMO University and MIIT University took part in 7 questionnaires which were especially elaborated to find out the attitude of students and teaching staff to on-line education, its challenges and opportunities. All in all 217 students and 25 members of the teaching staff (tutors, teachers and lecturers) participated in the research with the use of case-based reasoning system to analyze on-line collaboration between students, between students and teaching staff, between members of the teaching staff in digital learning and educational environment.The first two questionnaires were aimed to assess students’ abilities to adapt to new educational rules and learning environment. They proved that it was rather easy for most students to embrace changes in educational approaches and procedures. In some cases remote work with the use of IT technologies had been implemented long before the COVID-19 pandemic. The universities participating in the research had introduced mentorship and internship programmes, business incubator facilities with videoconferencing classes and supportive collaboration tools before the pandemic broke out. And those faculties that had elaborated and introduced IT innovations in their educational process beforehand find themselves more confident and independent in times of COVID-19 crisis. The third and fourth questionnaire estimated the attitude of educators to new challenges of the digital educational environment. The research has exposed the so-called “generation gap”: most elderly professors have voted for traditional in-person collaboration, meanwhile there is a rather high percentage of “active” professors who have demonstrated eagerness and diligence in acquiring new skills of working in digital environment. Most educators confess that getting used to new tools and methods of digital education is just a matter of time. The rest of the questionnaires testify that the overwhelming majority of interviewees observe that on-line collaboration serves the interests of protecting human health as well as corresponds to the qualification requirements modern employers seek and encourage in personnel. Nowadays employers quite often expect their staff to work in virtual teams, geographically dispersed. So students should be taught to work and learn digitally: to use the Internet resources effectively, to demonstrate acumen and self-discipline, to brush up their public speaking and presentation skills. Thus, on-line collaboration should pursue these goals.
Domain Adaptive Semantic Segmentation without Source Data

Domain adaptive semantic segmentation is recognized as a promising technique to alleviate the domain shift between the labeled source domain and the unlabeled target domain in many real-world applications, such as automatic pilot. However, large amounts of source domain data often introduce significant costs in storage and training, and sometimes the source data is inaccessible due to privacy policies. To address these problems, we investigate domain adaptive semantic segmentation without source data, which assumes that the model is pre-trained on the source domain, and then adapting to the target domain without accessing source data anymore. Since there is no supervision from the source domain data, many self-training methods tend to fall into the ``winner-takes-all'' dilemma, where the {\it majority} classes totally dominate the segmentation networks and the networks fail to classify the {\it minority} classes. Consequently, we propose an effective framework for this challenging problem with two components: positive learning and negative learning. In positive learning, we select the class-balanced pseudo-labeled pixels with intra-class threshold, while in negative learning, for each pixel, we investigate which category the pixel does not belong to with the proposed heuristic complementary label selection. Notably, our framework can be easily implemented and incorporated with other methods to further enhance the performance. Extensive experiments on two widely-used synthetic-to-real benchmarks demonstrate our claims and the effectiveness of our framework, which outperforms the baseline with a large margin. Code is available at \url{https://github.com/fumyou13/LDBE}.
Impact of a Voice Trace for the Detection of Suspect in a Multi-Speakers Stream

This paper discusses the Impact of Voice Trace for Detecting Suspects in a multi-speaker stream for forensic or legal research (IVTDS). This scientific evidence was found in a crime and is exploited for the task of detecting suspects in this audio stream among all involved. So in this framework of the work, the first objective is to obtain segments of homogeneous speakers, that is to say containing the segments of only one speaker. These segments must be as long as possible with a priori information on the number of speakers present in the audio stream and that these speakers do not speak simultaneously. The second objective is to study the impact of scientific evidence on the detection of suspects in this multi-speaker stream assuming that no prior knowledge is available on the suspects. For this, the work takes place in three main phases: the parametrization of the multi-speaker flow, the speaker changes are segmented and detected as valid or otherwise canceled, and finally the voice traces are exploited and compared to the models GMM (Gaussian Mixture Models) and the global model UBM (Universal Background Model) by selecting only the best scores. Applying this approach to data generated from the NIST 2005 telephone-type database. The results of the experiments carried out demonstrate the effectiveness of this approach of detecting suspects using voice traces in solving certain forensic problems.
LibGuides: Systematic reviews: Systematic review standards

Overview of systematic review steps and resources to assist researchers conducting reviews.
Evaluation of green service supply chain performance in urban management of Tehran Municipality, using simulation

The present study seeks to simulate the performance appraisal model of green service supply chain in urban management. The method of this research is a combination of qualitative and quantitative techniques. In the qualitative part of content analysis and Dolphy techniques for extracting and refining themes and in a quantitative part of fuzzy cognitive mapping techniques to determine the importance of each variable and system dynamics approach to simulation. The research model was used. For the interview and analysis of variables, the statistical population, which included 10 experts of Tehran Municipality from different fields, was used. The final model of the research, which included 34 independent variables, was simulated using vensim software. The simulation results showed that the policymaker's attention to pollution control, the optimality of urban transportation routes, the amount of pollution produced and the amount of waste produced with a gentle slope is decreasing; But technology budgets are rising steadily; In general, it can be said that the proposed model can lead to improving the efficiency of the green service supply chain in the municipal organization as a case study.
The Study of Employment Guidance and Service for College Students from the Perspective of “Three-wide Education”

Employment is related to people’s livelihood and is the foundation of social stability. Affected by the novel coronavirus pneumonia, 2020 is the most difficult year for employment in recent years. At the same time, the national departments made concerted effort to win the battle for the employment of college graduates. The total number of college graduates in 2021 is almost 90.9 million, and the number will continuously increase in 2022, while the employment situation is increasingly severe. Faced with new situation and new challenges, college and universities should build the employment guidance and service system guided by the concept of three-wide education, which means the whole staff should strive to promote employment through the whole process of education, and provide all-round guidance to graduates, so as to help them achieve high-quality and full employment.
Complementarity relations between quantum steering criteria

Recently, a connection between quantum coherence and quantum steering was established, and criteria for quantum steering or, in other words, nonlocal advantage of quantum coherence (NAQC) were derived for two-qubit states. Here we derive a set of complementarity relations between the steering or NAQC inequalities achieved by various criteria. We also extend the idea in the multipartite scenario, specifically, in the three-qubit scenario, which can easily be generalized to the multipartite scenario.
USING SHORT STORY STRATEGY TO DEVELOP READING COMPREHENSION OF GRADE EIGHT STUDENTS

This research aims at proving if the application of the short story can develop the students’ reading comprehension. The sample of this research was grade eight students of SMP Negeri 3 Palu particularly class D and class E, namely class E as the experimental group and class D as the control group. The treatment was given to the experimental group using the short story, while the control group was not. To collect the data, the researcher used test instrument (pre-test and post-test). The finding confirmed that the mean scores of  pre-test in both groups were different. The control group had a higher score which was 57.19 while the experimental group was 44.69. This result showed that the students in the experimental group had problems in reading comprehension which needed to improve. However, after treatment, the result of the two groups showed significant distinction. The mean score of the experimental group rose to 71.80 while the control group was 64.45. Moreover, to prove the hypothesis, the process of calculating the result was continued by comparing the t-counted and t-table by applying the level of significance (df) at 62 (32+32-2). The result showed that the value of the t-counted was 8.70 which was higher than the t-table (1.670). It means that the hypothesis of the research was accepted. In conclusion, using short story can develop the students reading comprehension. Keywords: Develop, Reading Skill, Short Story
Farmers’ Use of Mobile Devices in Developing Countries

The introduction of mobile phone technology seems to have brought many benefits to many farmers, especially in developing countries, as it provides access relevant and reliable agricultural information to make more effective farming decisions. Many rural farmers face information asymmetry problems, which seem to emanate from pitfalls in the agriculture or farming extension services that could be solved through the use of mobile devices and technologies. To explore how farmers use mobile devices to access information to aid them in their agricultural practices, this study explored farmers use of mobile devices in the rural arears in Namibia, specifically, the Uukwiyu Uushona community in the Oshana Region for farming purposes. Applying a quantitative research method, data was collected from 140 participants using questionnaire. Thematic analyses to unearth trends were undertaken. The results show that farmers’ use of mobile devices adds value and economic benefits to their practices. The study further found that farmers use mobile devices to get up to date information on input and output market transactions, weather information, and banking services. Based on the findings that some of the information on mobile phones are complex and hence difficult to comprehend, it is recommended that mobile agricultural information service providers team up with information systems experts to develop mobile applications or USSD applications that provide agriculture information in its simplest and comprehensive form so as for most farmers if not all, with all kinds of mobile devices will to be able to access agriculture information. Having some of the mobile agricultural information in native or local languages will be helpful especially for the illiterate group of farmers. Considering that only scanty literature similar studies especially in rural Namibia exist, this study contributed to the body of knowledge of mobile device use by farmers in rural areas.
Design of Android-Based Al-Qur'an Learning Applications at TPA Darul Ikhlas Wonoasri

Nowadays mobile devices are developing so rapidly that they have various functions, as well as for multitasking and also have a system like a computer so that it is also commonly called a Smart Device. Smartphones circulating in the market are generally the most popular Android devices, from Android devices are widely used for utilization, the use of smartphone functions, among others, are used for several purposes, so that their development is increasingly widespread, one of which is learning media, learning applications are media or a tool that functions to convey writing in the form of material on a mobile device or smartphone. The purpose of designing this application is to help students of the Al-Qur'an Al-Ikhlas Wonoasri Education Park, to be able to recognize hijaiyah letters, learn the law of reading the Al-Qur 'an, can distinguish vowels, practice questions in the form of question games, and can write and match hijaiyah letters, in this thesis using the waterfall methodology. The stages to be carried out in this study include: data collection in the form of observation at the Al-Ikhlas Wonoasri TPA location, then system analysis, system design, implementation, system testing, compiling reports
Toward Non-Line-of-Sight Videography

Seeing objects hidden from sight, in real time, could significantly expand humanity’s ability to explore the unknown.
Position Paper: Consider Hardware-enhanced Defenses for Rootkit Attacks

Rootkits are malware that attempt to compromise the system’s functionalities while hiding their existence. Various rootkits have been proposed as well as different software defenses, but only very few hardware defenses. We position hardware-enhanced rootkit defenses as an interesting research opportunity for computer architects, especially as many new hardware defenses for speculative execution attacks are being actively considered. We first describe different techniques used by rootkits and their prime targets in the operating system. We then try to shed insights on what the main challenges are in providing a rootkit defense, and how these may be overcome. We show how a hypervisor-based defense can be implemented, and provide a full prototype implementation in an open-source cloud computing platform, OpenStack. We evaluate the performance overhead of different defense mechanisms. Finally, we point to some research opportunities for enhancing resilience to rootkit-like attacks in the hardware architecture.