Reviewerly/exHarmony huggingface dataset:
An Experimental Comparison Study on the Thermal Performance of Hot- and Cold-Aisle Containment Systems for Data Center Cooling

With the increased awareness of data center cooling and its energy cost impact, the hot aisle containment (HAC) system and the cold aisle containment (CAC) system are considered to be two of the most prominent techniques for IT environment control. This study investigated the thermal performance of the two systems in an experimental test, analyzing the thermal environment based on the inlet and outlet air temperature distribution according to the type of IT equipment. The filed measurements show that the HAC is more effective at cooling the IT equipment. The supply air temperature of the HAC system can be raised by 2.0℃, but the IT operation environment will be similar to that of the CAC system. The distributions of SHI and RHI of the HAC system were higher than those of the CAC system by 17.4% and 14.8%, respectively. Moreover, RTI was improved by 26.1%. This paper analyzes both systems and highlights the reasons why HAC is often the preferred solution. Even though the HAC could maintain a more stable IT environment than the CAC, the air distribution efficiency still operated imperfectly with losses in the distribution path and a mixing of hot and cold air. The development of a prototype of a fully air containment system could be a possible future development, as it could improve the two systems we tested and result in a lower risk of air recirculation and bypass.
Университеты и самоорганизация

Peter I, planning a breakthrough to Europe at the turn of the 17 th –18 th centuries and the imperatives for the development of Russia, had high hopes for the triad of gymnasium — university — academy. At present, Russia is once again making a social and technological breakthrough. Universities can play a key role in guiding society and the scientific and technological community towards this breakthrough. Currently, the world and Russia are at a point of bifurcation. Self-organization in university activities can play a key role at this point. The humanitarian and technological revolution unfolding now requires a speedy overcoming of the gap between the scientific and humanitarian cultures and the development of interdisciplinary approaches. Universities’ orientation towards the future and the formulation of large-scale, promising tasks becomes important. Self-organization is of fundamental importance for the formation of interdisciplinary innovative teams that bring together representatives of various specialties. The triad of self-organization — future — professionalism can be imperative for a modern Russian university. In higher education, a transition from training “qualified consumers” to training creators should be completed in a matter of years. Self-organization at universities and throughout the university community can lead to Russia’s transition from the “pipe economy” to an innovative trajectory of the development path, to a knowledge society.
A Study of the Relationship Between Teachers’ Motivation and Teachers’ Commitment at Experimental Middle School Affiliated to Yunnan Normal University

In this study, the prime target is to identify the relationship two variables of relationship which is teachers’ motivation and teachers’ commitment in the Experimental Middle School Affiliated to Yunnan Normal University. 114 full-time teachers participated in the study. They have all been certified in Experimental Middle School Affiliated to Yunnan Normal University in the 2021 academic. The average and standard deviation were used to analyze teachers' consciousness of teachers' motivation. It was found that teachers' perception of teachers' motivation was high (3.70) and another variable of teachers’ commitment also got a high score(3.71); To study the correlation between the two variables, The study used the Pearson Product Moment Correlation Coefficient method and data r =. 642, SIG. (two tailed) was. 002. The results show that teachers in target schools hold a relatively positive attitude towards teachers' motivation. Pearson correlation test’s results shows that there is a prominent correlation between the teachers' motivation and teachers' commitment in Experimental Middle School Attached to Yunnan Normal University.
DEVELOPMENT OF ASSESSMENT INSTRUMENTS FOR TEACHERS USED IN ASSESSING HIGH SCHOOL STUDENTS' EXPOSITION WRITING: A SYSTEMIC FUNCTIONAL APPROACH

This research aims at developing a writing assessment rubric for a exposition text. This rubric is made in accordance with the assessment standard of the current Senior High School curriculum, Kurikulum Tingkat Satuan Pendidikan (KTSP)  to be used by the teachers.  Based on observations made of two high school English teachers at SMA Negeri 19 Medan , it was found that the assessment of students' writing in class XI was done by simply giving points or grades without any clear criteria. Such assessments tend to be subjective, inaccurate, and are not helpful for students. One way to overcome this is to use an assessment rubric. The development of this rubric was done through 7 stages of development, namely research and information collection, planning, developing premilinary forms of the product, premilinary field testing, main product revision, main field testing, and operational product revision. The development of this rubric is based on 16 students' writing. Analysis of data in this study was conducted by analyzing and assessing students' writing in first and second drafts as well as the results of the first and second questionnaires and interviews. The results show a rubric that can be used by the teacher to score students’ writing. Key words: writing, genre, rubric, assessment
Становление библиотеки Уральского филиала Академии наук СССР (1932—1940 гг.)

The article considers organization of information and library services for scientists of the Ural Branch of the USSR Academy of Sciences during the formation of academic science in the Urals in 1932—1940. The author discusses the activities of the Library of the Ural Branch of the USSR Academy of Sciences (now the Central Scientific Library of the Ural Branch of the Russian Academy of Sciences, the Central Scientific Library of the UB RAS) against the background of the development of the Branch, which experienced repeated attempts to reform and eliminate in the first years of its existence. Financial and personnel difficulties of those years affected both the activities of the Ural Branch of the USSR Academy of Sciences as a whole and the development of the Library. The turning point in the history of the Library of the Ural Branch of the USSR Academy of Sciences was its integration in 1939 into the Ural Institute of Physics and Technology, which had considerable material resources and personnel potential. Based on the library and previously unknown archival documents, the author makes the conclusion on the simultaneous formation of both collections — the Branch library and the Institute library, which later formed the unified library stock of the Library of the Ural Branch of the USSR Academy of Sciences. The article studies the development of each of these collections during 1932—1940. The author describes contribution of individual scientists to the development of the Library, the history of the appearance of some private collections in its holdings. The article provides information about the first employees of the institution.
Application Research of Information Technology in Modern Prison Management

This paper analyzes the characteristics of modern prison informatization management. The author has studied information technology development management, visiting registration management, criminal inquiry, book management service, reservation, access control management, video monitoring management, system implementation management, dynamic management, prison culture management. This paper studies how to do data integration work, improve data sharing, and strengthen the construction of talent team. The author's purpose is to enhance the effectiveness in the process of modern prisons, reducing the chances of unreasonable problems.
Bayesian Inference for Optimal Transport with Stochastic Cost

In machine learning and computer vision, optimal transport has had significant success in learning generative models and defining metric distances between structured and stochastic data objects, that can be cast as probability measures. The key element of optimal transport is the so called lifting of an \emph{exact} cost (distance) function, defined on the sample space, to a cost (distance) between probability measures over the sample space. However, in many real life applications the cost is \emph{stochastic}: e.g., the unpredictable traffic flow affects the cost of transportation between a factory and an outlet. To take this stochasticity into account, we introduce a Bayesian framework for inferring the optimal transport plan distribution induced by the stochastic cost, allowing for a principled way to include prior information and to model the induced stochasticity on the transport plans. Additionally, we tailor an HMC method to sample from the resulting transport plan posterior distribution.
Civil Law Risks and Prevention of New Media Tools in the Information Age

The emergence of computer and Internet technology has completely changed social life.As information carriers, they have unique advantages in carrying capacity, transmission efficiency, storage time, reproducibility and other aspects.With these advantages, new media has developed continuously and become an indispensable part of social life.However, the limitations of new media as a social tool have gradually exposed many problems.While people enjoy the sensory dividends brought by new media, their personal rights and interests have been quietly endangered.
Implementation of a Secured Student Record Management using Modified RC6 and OTP Algorithms

In today's generation, the utilization of multimedia for communication plays an important role in transmitting authentic messages over the network. However. its growth has also made easy distribution and duplication. Educational Institutions have salient academic documents which are official and highly confidential and institutions are intended to uphold their safety. This is achieved through FERPA or Family Educational Rights and Privacy Act which is one of the strongest privacy protection laws in the U.S while locally, the Philippines and its universities need to achieve their commitment to comply with the Data Privacy Act of 2012. The emerging increased use of applications such as Student Information System (SIS) and Learning Management Systems (LMS), consequently raised security concerns ensuring its confidentiality, integrity, and availability. It was based on the avalanche effect, correlation coefficient, mean squared error, and the speed measurement of encryption and decryption processes that the statistical and runtime execution analysis were conducted. The quality of encryption was improved as evidenced by the 54.69% avalanche effect, which surpasses the standard of 50%, a very low average correlation coefficient of 0.0022 for the horizontal, vertical and diagonal directions, and a high mean squared error (MSE) of 11,556. Minimal runtime was also achieved based on the encryption runtime average of 0.98 and decryption runtime average of 1.93. Based on the numerical and visual results of the actual runtime and automatic tests, the good qualities of encryption and authentication were achieved.
Knowledge-based XAI through CBR: There is More to Explanations than Models Can Tell.

The underlying hypothesis of knowledge-based explainable artificial intelligence is the data required for data-centric artificial intelligence agents (e.g., neural networks) are less diverse in contents than the data required to explain the decisions of such agents to humans. The idea is that a classifier can attain high accuracy using data that express a phenomenon from one perspective whereas the audience of explanations can entail multiple stakeholders and span diverse perspectives. We hence propose to use domain knowledge to complement the data used by agents. We formulate knowledge-based explainable artificial intelligence as a supervised data classification problem aligned with the CBR methodology. In this formulation, the inputs are case problems composed of both the inputs and outputs of the data-centric agent and case solutions, the outputs, are explanation categories obtained from domain knowledge and subject matter experts. This formulation does not typically lead to an accurate classification, preventing the selection of the correct explanation category. Knowledge-based explainable artificial intelligence extends the data in this formulation by adding features aligned with domain knowledge that can increase accuracy when selecting explanation categories.
LiDAR-based Object Detection Failure Tolerated Autonomous Driving Planning System.

A typical autonomous driving system usually relies on the detected objects from an environment perception module. Current research still cannot guarantee a perfect perception, and failure detections may cause collisions, leading to untrustworthy autonomous vehicles. This work proposes a trajectory planner to tolerate the detection failure of the LiDAR sensors. This method will plan the path relying on the detected objects as well as the raw sensor data. The overlapping and contradiction of both perception routes will be carefully addressed for safe and efficient driving. The object detector in this work uses a deep learning-based method, i.e., CNN-Segmentation neural network. The designed trajectory planner has multi-layers to handle the multi-resolution environment formed by different perception routes. The final system will dynamically adjust its attention to the detected objects or the point cloud to avoid collision due to detection failures. This method is implemented on a real autonomous vehicle to drive in an open urban area. The results show that when the autonomous vehicle fails to detect a surrounding object, e.g., vehicles or some undefined objects, the autonomous vehicles still can plan an efficient and safe trajectory. In the meantime, when the perception system works well, the A V will not be affected by the point clouds. This technology can make the autonomous vehicle trustworthy even with the black-box neural networks. The codes are open-source with our autonomous driving platform to help other researchers for A V development.
ЭЛЕКТРОННОЕ ПОРТФОЛИО СТУДЕНТА КАК ИНСТРУМЕНТ ПОВЫШЕНИЯ КАЧЕСТВА ЭКОНОМИЧЕСКОГО ОБРАЗОВАНИЯ

The article proposes a solution to the scientific and technical problem of improving the mechanism for monitoring the progress of a student at a university through the design of a model of an electronic portfolio of a student. The authors applied functional modeling in the style of a mind map, on the basis of which a formalized portfolio map was built. In the long term, this implies the correction of the educational platform of the university in the direction of expanding its functionality with a digital audit tool of the process of forming the professional competencies of the future graduate.
Sewage sludge removal robot using machine language

The recent development in robotics has enabled robot technology to solve many practical problems that humans encounter in day-to-day activities. But, even today manual scavenging of the sewage is practiced in all places of India, Hundreds reportedly die from the work each year. To provide a complete solution to this deplorable situation, a robot can used as a replacement to manpower in sewer maintenance. The sewage inspection and cleaning is done by this robot. The robot inspects sewer lines for cracks, corrosion, obstacles, gas present, etc.Wherein men enter the manholes and clean the waste materials in the drainage manually with no technical equipment. It is a dreadful process where the drainage wastes are cleaned by the people that may include the basic tools like buckets, brooms for disposing the drainage wastes.
“The World in the Classroom”. A Study on Plurilingualism and Inclusion in the Schools at all Educational Stages of Udine

For several years we have been carrying out research on the inclusion of minors with a migratory background in the schools of Friuli Venezia Giulia. In line with the findings of other surveys, even in the Region the linguistic repertoires of the various communities have undergone a partial restructuring with the entry of the Italian language alongside, or sometimes in replacement of, that of the country of origin. Over the years, however, the changes have regarded not only the languages present in the repertoires, but also, and above all, the speakers’ uses. The aim was to understand the attitudes that minors have towards their heritage languages and to relate them to actual uses. Our hope is that the data collected will contribute to the dissemination of good practices for the promotion of plurilingualism at school and for the development of inclusive approaches that enhance the skills of all pupils in the class.
Research on the Teaching Innovation Team Construction of “Double-quality” Teachers in Higher Vocational Colleges Based on the Background of “Double High”

With the help of “double high” and using this as a background, the construction of “dual teacher type” in innovation and teaching teams can improve the quality of technical talents in an all-round way. Carrying out cooperative innovation together and combining with the needs of the current industry can to a certain extent enable the teaching and teaching team to “twist together”, which is more conducive to the comprehensive development of the competitiveness of universities. There are still some shortcomings in the teacher team under the “dual teacher type”, that is, the cooperation between each other is not close, and the education output is not deep enough. Faced with this problem, it is necessary to effectively integrate production and education according to the current situation, improve the overall structure of the team, and enhance the overall competitive strength.
Spectrally resolved interferometry to measure thickness and refractive index of transparent material

We demonstrate a method for simultaneous measurement of thickness and refractive index of transparent materials based on spectrally-resolved interferometry. By extracting the phase from the interference spectrum, the measured optical path difference can be obtained directly without phase shift device in the measurable range. This unique advantage makes it capable of measuring physical thickness and refractive index by introducing transparent medium and processing three useful optical path differences. In the long-term stability test, the repeatability experiment of spectral resolution interferometric ranging technology using femtosecond laser is carried out within 60 min, and the standard deviation is 341nm.
PERFORMANCE ISSUES WITH CLOUD COMPUTING

— Cloud computing is key for today's fast world. It serves across all the domains. Be it business, educational, public, or private sector, etc. Its application can be observed anywhere. Its overall concept and its analysis of services and model are presented here. Mainly cloud has 3 delivery models. Saas (Software as a service), Paas(Platform as a service), and Iaas (Infrastructure as a service). We explored these with their performances and interdependencies. Cloud adoption has its performance limitation and solutions to overcome these challenges are provided here. Also, cloud delivery models are discussed. Performance factors are very important for as a whole cloud computing success, where it adds its ideal cost of services, its reliability, and its scalability constitutes as its pillar factors. They require a lot of attentiveness and effort by the cloud computing providers and contributors, integrators, and service consumers
Большие данные в цифровой экономике: ценность и правовые вызовы

This article deals with the problem of risks to the person’s private sphere arising in connection with the formation of the so-called “big data cloud” (big data). It records various data about a person that can be analyzed by various subjects of social relations. The article deals with such a thing as “digital footprint”, which implies the information that individuals leave on Internet servers or other devices that accumulate digital information. The author also analyzes the concept of “informational portrait” of a person associated with the accumulation of diverse information in automated information resources of public authorities and organizations. The author concludes that in the future it will be possible to track in detail the movements of a person, his purchases, his contacts with other people with the exact identification of their personalities, the receipt of money and their spending. Based on this, it will be possible to form his psychological portrait and to predict his intentions.
THE EFFECTIVENESS OF USING MIND MAPPING TECHNIQUE IN TEACHING RECOUNT TEXT TO INCREASE THE STUDENTS’ WRITING ABILITY :

The objective of this study is to find out the effectiveness of using the mind mapping technique in teaching recount text to increase the students’ writing ability. This research is quasi-experimental as the design that used two group pretest and posttest. It means that there were an experimental class and a controlled class which were given pretest and posttest. There were 37 students of class X of SMAN 12 Makassar as the sample in this study. The instrument of this research was a written test, to score the students’ recount text on pretest and posttest. The result of this research showed that there was a positive effect of the result of students' recount text after using the mind mapping technique. Based on the result of the calculation process the researcher gained that in pretest had a mean of 61,24 and the posttest had a mean of 81.03 of experimental class. Based on the finding of this study, it can be concluded that using mind mapping in teaching recount text is quite a success. And after conducting the research and calculating the data, It could be stated that it was effective of using mind mapping on students' writing of recount text. Students' writing of recount text got a higher score.
Blended Learning Model Based on 5R Adaptation Framework

This study draws on data about College English courses in four leading universities to analyze the current circumstances of English teaching in Chinese universities, and on that basis, explores a new student-centered model for English blended learning combining autonomous learning via massive open online courses delivered on smartphone and computer with face-to-face traditional classroom learning based on 5R adaptation framework.It emphasizes four modules: preliminaries, self-study before class, discussion and assimilation in class, and reflection and enhancement after class.To identify whether this model provides a positive experience for students, it is tested in an English course for freshmen.The findings indicate that after four weeks learning under the blended model, students' average score on a mock CET4 increased by 15.3 points compared with their placement test.Thus, this innovative model does promote freshmen to adapt the new learning environment quickly and motivate students to learn autonomously.
A Cognitive Model of the Use of Familiarity in the Acquisition of Interactive Search Skill

Searching through menu structures is a common method of interacting with computers: browsing the world-wide web, using computer software and searching databases are just some of the tasks that require menu search, or interactive search. In this paper, we address the question of how initial search experiences are encoded and then used to guide subsequent searches.