bluuebunny/crossref_metadata_2025 huggingface dataset:
Tradition of the forced marriage of couples who return late at night perspective of Islamic law: Case study of the tradition of the Lekuk Lima Puluh Tumbi Lempur Society, Jambi
Authors: Arzam  , Puspita Mega , Ali Zezen Zainul , Zufriani  , Mursal
Published: June 2023

Islam upholds the principle of willing consent in marriage, prohibiting coercion, yet in the Lekuk Lima Puluh Tumbi Lempur Jambi community, forced marriages occur due to local customs, leading to negative consequences. The research method used was field research focusing on the Lekuk Lima Puluh Tumbi Lempur community, Jambi, Indonesia. The data obtained were analyzed and studied with Islamic law. The findings first show that the forced marriage occurs when a man and a woman return to the village after a late night. Second, factors behind these customary sanctions include religious, social and customary ones. Third, the impact of these customary sanctions is the occurrence of underage marriage and the resultant divorce. Fourthly, the marriage is contrary to Islamic law, because it involves coercion, even though the pillars of marriage are fulfilled, but the conditions of marriage are not fulfilled, so the law of marriage becomes fasid (broken). Therefore, as a consideration, if the sanction of forced marriage is carried out without regard to the cause, whether chronological or consensual, and age, but only based on customary coercion, then the customary sanction can cause more significant harm than benefit, so the custom must be abandoned.
Thermal effects of electromagnetic origin from heating processes to biological disturbances due to field exposure—A review
Authors: Razek Adel
Published: June 2023

This contribution aims to appraise, analyze and evaluate the literature relating to the interaction of electromagnetic fields (EMF) with matter and the resulting thermal effects. This relates to the wanted thermal effects via the application of fields as well as those uninvited resulting from exposure to the field. In the paper, the most popular EMF heating technologies are analyzed. This involves on the one hand high frequency induction heating (HFIH) and on the other hand microwave heating (MWH), including microwave ovens and hyperthermia medical treatment. Then, the problem of EMF exposure is examined and the resulting biological thermal effects are illuminated. Thus, the two most common cases of wireless EMF devices, namely digital communication tools and inductive power transfer appliances are analyzed and evaluated. The last part of the paper concerns the determination of the different thermal effects, which are studied and discussed, by considering the governing EMF and heat transfer (or bio heat) equations and their solution methodologies.
New species of Pulchroppia (Acari, Oribatida, Oppiidae) from Indonesia
Authors: Ermilov Sergey G. , Sandmann Dorothee , Scheu Stefan
Published: June 2023

Two new species of the genus Pulchroppia (Oribatida, Oppiidae), P. richterae n. sp. and P. marianae n. sp., are described, based on materials collected from litter of secondary rainforest in Sumatra, Indonesia. Generic diagnosis and an identification key to the known species of Pulchroppia are presented.
A Dél-Dunántúl bögöly faunájáról (Diptera: Tabanidae)
Authors: Otártics Máté Zsolt , Török Henrietta Kinga , Barna Róbert , Böndi Boglárka , Strausz Szilárd , Farkas Sándor
Published: June 2023

This paper presents all published faunistic data of the Tabanidae in South-Transdanubia from 1956 up to 2016. The faunistic research of tabanids in Somogy, Baranya and Tolna Counties resulted in 53 tabanid species. An annotated checklist with collecting sites is given.
Neuroleon tarimensis sp. n. – a new ant-lion from Taklamakan desert, China (Neuroptera: Myrmeleontidae)
Authors: Ábrahám Levente
Published: June 2023

Neuroleon tarimensis sp. n. is described from China and compared to Asiatic Neuroleon species: Neuroleon erato Hölzel, 1972, Neuroleon zakharenkoi Krivokhatsky, 1996, Neuroleon marcopolo Hölzel, 1970, Neuroleon fanaticus (McLachlan, 1875), Neuroleon nemausiensis (Borkhausen, 1791), Neuroleon nigriventris (Navás, 1913), Neuroleon dianae Hölzel, 1972, Neuroleon punjabensis Iqbal & Yousuf 1997, Neuroleon unpunctatus Ghosh, 1981, Neuroleon apicalis Navás, 1915 and Neuroleon roscidus (Navás, 1937).
SOR Model and Application of Virtual Reality Technology in 3D Animation Design
Authors: Xiong Anya , Wang Qin
Published: June 2023

This paper introduces 3D modeling and application based on virtual technology. This paper’s modeling and drawing of SOR can obtain the differential equation of linear segments composed of pixel points. The resulting output data constitute an image unit. Then this paper uses the visual difference theory and effect to realize the production of virtual reality 3D animation technology. Finally, this paper carries on the simulation test to the three-dimensional model. The results show that 3D modeling using virtual technology can significantly improve accurate coordinates. This makes the 3D animation production and post-correction work more precise and fast.
Simulation and Characteristic Analysis of College Music Teaching Based on Nonlinear Equation
Authors: Ma Chunyu
Published: June 2023

Musical symbols are a good way of expressing human emotions and communication. It is a kind of nonlinear dynamic system with hysteresis. It isn’t easy to analyze its nonlinear characteristics by conventional methods. This paper divides it into several parts from the form of music. Secondly, this paper studies the local attributes of music signals and generalizes and deduces their general features. Then the Lyapunov index of music is numerically simulated, and its energy spectrum is analyzed. It is proved that the method is weak to some extent. Through the music correlation dimension analysis, we find its inherent nonlinear characteristics. The nonlinear music signals corresponding to classical piano works are given in this paper. Finally, the correlation dimension is numerically simulated by differential operation. The results show that the nonlinear characteristics of this method are stable.
Application of Partial Differential Equation Models in English Reading Corpus
Authors: Wang Jianying
Published: June 2023

In order to understand the application of partial differential equation models, a study in English reading corpus is proposed. In this study, a quasi-experimental research method was used to select two classes of students in a school as the subjects. The two classes were taught by the same English teacher, and the two classes were comparable in terms of their basic English learning (including reading ability). The total number of English lessons per semester in the two classes was 96, including 32 reading lessons. Students were guided to apply corpus-assisted reading in the reading classes of the experimental class, while the traditional reading teaching method was used in the control class. The corpus-assisted reading method was used in the experimental class for 16 lessons. During the experiment, students’ performances in applying the corpus-assisted reading were observed, their thinking maps in class and after class assignments were collected and analyzed, and their reading scores in the midterm and final exams were used as indicators of the effectiveness of the corpus to compare and analyze the experimental and control classes. It was from the study results found that teachers were able to apply the corpus to assist reading instruction in the English reading process, and students’ application of the corpus in the reading process enhanced their participation and interest in reading lessons. The application of the corpus improved students’ higher-order reading reasoning skills, and students learned to think actively and holistically through corpus mapping.
Construction of Non-inherited Digital Platform based on PEST-SWOT Model
Authors: Xiong Wenjing
Published: June 2023

In order to protect non-genetic inheritance, this paper proposes the construction of digital platform for non-genetic inheritance based on PEST-SWOT model. Firstly, the classification of intangible Chinese heritage is summarized and the development of Jiaodong dough plastic intangible cultural heritage is summarized and analyzed by using SWOT and PEST analysis model. Finally, the strategy of digital protection and inheritance of Jiaodong dough plastic is constructed, and the digital information of Jiaodong dough plastic is collected and classified for data collection and archiving by using digital information technologies such as three-dimensional digital scanning of the Internet. To develop the information retrieval system of Jiaodong dough molding, establish the resource database of Jiaodong dough molding with complete, multiple and intuitive information, and record the whole picture of Jiaodong dough molding art in a real and systematic way. At the same time, convenient ways of inquiry exchange and utilization are provided to realize the digital preservation and sharing of Jiaodong dough plastic resources, so as to achieve the purpose of inheritance and dissemination of Jiaodong dough plastic art.
Computer Image Scene and Object Information Extraction based on Bayesian Network Model
Authors: Zhao Hui , Chen Guo
Published: June 2023

In order to better extract scene and object information from computer image, a construction object extraction algorithm based on Bayesian network is proposed. The algorithm is trained by multi-scene aerial images to build a grain dictionary and map the grain in the actual image to the grain dictionary to obtain the scene information of the image;Then naive Bayesian networks were used to model the constraints of the relationship between architectural targets and the spatial context of scene classes, and the extraction of architectural targets was converted into a posteriori probability problem for solving Bayesian network class nodes. The experimental results show that the proposed algorithm can effectively extract architectural objects from aerial images. The experiment result shows that:In this paper, the proportion of target pixels accurately extracted by the algorithm is taken as the standard to define the standard of target pixels accurately extracted by the algorithm to reach more than 90% of the building target pixels. The average time of training an image is 2 s, which is mainly spent on the convolution operation with the filter. After the training, the average time of processing a single test image is 0.5s. It is proved that Bayesian network model can effectively extract scene and object information from computer image.
Dissemination and Evolution of Ethnic Traditional Sports Culture Based on Spatial Diffusion Model
Authors: Wen Zhan
Published: June 2023

Cultural differences in sport have been studied according to the perspective of “culture of inter-normative differences”. Taking the promotion of traditional sports in tourism as an example, the aim is to strengthen the protection and development of athletes who do not know the culture and arts, and to provide theoretical advice to support the development of sports. It was found that the symbols of cultural spaces, sports and tourism products of ethno-cultural combination appeared in four areas: space-temporality, presence, openness and drama. National cultural and artistic leadership and tourism cooperation together are making a difference in the development of the “cultural zone”. Creating a cultural landscape that integrates national culture, sports culture, and tourism services in a unified and symbiotic way will promote the transition from the formation of social leadership trends to individual leadership knowledge and beliefs, and finally to the realization of social development. national sports culture. Those. The combination of national cultural sports and tourism products, and the construction of the epidemic cultural landscape is a process of digging up the traditional culture of a nation to the public and creating tourism products that tourists can use and experience. In this case, it is planned to create a cultural zone for the integration and symbiosis of ethnic culture, sports and tourism services.
The Application of PREMA Model in College Mental Health Education
Authors: Wang Chenxia , Sun Pingli , Li Min , Li Zheng
Published: June 2023

In order to make the mental health education in colleges and universities continue and let students find more of their advantages and potential, the author proposes the application of PREMA model in the mental health education in colleges and universities. The author applied and explored the positive mental health course of 399 subjects for 13 class hours, which included five modules: “positive emotions and happiness, positive cognition and self-efficacy, positive traits and positive personality, positive environment, summary and sharing”, after longitudinal tracking for a school year, the results show that about 34.81% of freshmen have different degrees of problems or confusion in their first class hours, and about 4.22% of them have mild or more psychological problems. After one academic year, the number of students with different levels of problems or confusion dropped to 2.51%, and only 1.04% of students with moderate or above psychological problems. The overall mental health level of students has been improved, and the level of positive development has been improved. The PREMA model not only provides a new perspective for examining college students’ mental health level and subjective well-being, but also points out a new direction for the teaching of college mental health education courses. The course of positive mental health education plays an important role in improving students’ positive mental quality and promoting the development of mental health education in colleges and universities.
Urban park healing landscape based on spatial correlation quantitative model
Authors: Wang Shuhua
Published: June 2023

The construction of city parks is an effective way to ease the tension between people and nature in cities, where the pace of life is fast and the pressure of work is high, relieving pressure and relaxing body and mind has become a common demand of urban residents. In view of this, the study constructs a quantitative model of spatial association to quantitatively analyze the spatial association structure and intensity of park green space and its service objects, create conditions for the measurement of park green space structure and land use efficiency, and fully combine the physiological and psychological characteristics of human beings in the four aspects of Park Components, Park Furniture, Park Zoning and Park Ecological Environment of Brillon Landscape Healing Park, it creates an environment for people to relax and release mental pressure, and plays an auxiliary role in treating psychological and physiological diseases.
Energy Efficiency Evaluation of HVDC Converter Station Based on Deep Neural Network Model
Authors: Rong Jingguo , Qi Lizhong , Wu Hongbo , Chen Songtao
Published: June 2023

This paper introduces a new idea of energy efficiency evaluation of high voltage direct current (HVDC) converter based on deep neural networks. This paper analyzes the leading operating indicators and finds the main influencing factors in constructing the energy-saving hands of each converter table. Then this paper uses the deep neural network method to establish the converter table's energy efficiency model. The deep neural network for energy efficiency evaluation of the converter table is obtained. In this paper, PSCAD/EMTDC was used for simulation to evaluate the energy-saving effect. The research shows that the method of energy efficiency evaluation based on deep neural networks is feasible.
Application and value of painting technique in art education based on improved ARMA model
Authors: Zhao Feng
Published: June 2023

With the deepening of the new curriculum reform, students’ comprehensive quality education has attracted wide attention from all walks of life, and people pay more and more attention to aesthetic education. As an important part of aesthetic education, fine art education plays an important role in cultivating students’ aesthetic ability. In the process of art education, painting technique teaching plays a very important role and value, which is conducive to students’ in-depth understanding of the connotation of painting art and training students’ ability of practice and image thinking. In this paper, ARCS model is used to investigate and analyze the current situation of students’ art learning, and ARCS model is used to design a teaching scheme for reference for art teachers, and teaching experiments are carried out. The concrete implementation methods, steps and case analysis of ARCS motivation model in middle school art teaching design were summarized, and the improvement measures were further proposed according to the experimental results. In the whole research process, a combination of qualitative and quantitative analysis is adopted. The final research shows that it is necessary for teachers to use ARCS motivation model to design teaching programs.
Defect prediction of big data computer network based on deep learning model
Authors: Ma Lei , Li Lihua , Hu Yingbin , Liu Hao
Published: June 2023

Computer network software prediction is a good way to improve software quality, and the predictions of the software prediction method are close to the characteristics of the data set. In order to solve the problem that the invisible size of special data set is too large for computer software prediction, the author proposed a computer network-based software prediction method with deep computer coding and power learning. deep exploration of data features. data features. This type of model first uses an unsupervised learning-based evaluation model to evaluate the data set of 6 open projects, which solves the problem of classification uncertainty in the data; Deep self-encoding network models were then investigated. The model reduces the size of the data set, which is used to connect our model at the end of the model, the model uses training sets of shortened length to train the workers, and finally it makes predictions using the benchmarks. Experiments show that this model's prediction is better than standard software defect prediction, better than existing model-based software prediction models for fabric processes with repeated data volumes, and can be used in different categories. algorithms.
American orientalism: A critical reading through Edgar Allan Poe
Authors: Alfawa’ra Loiy Hamidi Qutaish , Alghaberi Jameel Ahmed
Published: June 2023

To date, The Arabian Nights still create frames of reference outside its fictive core. The article critically examined the adaptations and appropriation of the classic Arabian Nights by Edgar Allan Poe and how he invested his interest in the Orient to advance his career as a writer. More specifically, the aim was to study the links between European Orientalism and the new version of the Orient constructed in the United States. Various modes of reading and approaches were used to critically interpret the primary texts. Orientalism and postcolonial theories provided a theoretical framework for the study, and the deconstructive approach was applied in certain contexts to deconstruct and dismantle the stereotyping and mythologizing of the Orient. The article contributed to the growing scholarship on American oriental discourse by offering a counter perspective. Poe’s poems and short stories all perpetuate negative oriental representations. His obsession with the Orient is not reflected as aesthetic appreciation but it is rather appropriation that distorts and never restores. Poe’s oriental discourse is only examined lately by Arab critics of American literature and more specifically it surfaced through translations of his works into Arabic. Through stereotypical duplication in the world of realism, a fake Orient has become there in the world of reality.
The use of semantic transparency and L1-L2 congruency as multi-word units selection criteria
Authors: Barghamadi Maryam , Rogers James , Arciuli Joanne , Müller Amanda
Published: June 2023

Multi-word units (MWUs) are defined as two or more words that commonly co-occur. There is evidence that knowledge of high-frequency MWUs is essential to language fluency, leading to growing research identifying valuable MWUs to learn and the impact of L1-L2 congruency and semantic transparency on the learning burden of MWUs. Therefore, there needs to be more research on which MWUs should be selected with these criteria. This article highlights an investigation of the role of congruency and semantic transparency using a corpus-based list that offers a sizable sample of MWUs that appear in general English. In this study, we analysed a list of 11,212 high-frequency MWUs created using a lemmatised concgramming approach to examine the role of semantic transparency and L1-L2 congruency. The list was translated into Persian, and L1-L2 congruency ratings were given to each item. The list was also classified based on Grant and Bauer’s (2004) taxonomy to explore the role of semantic transparency to determine the extent to which these two factors play a role in the learning burden of the MWUs. The results showed that 85% of items were literal, and a low number of opaque items were found in the high L1-L2 congruency rating, suggesting a positive relationship between congruency and transparency. The current research then discusses the implications of these two criteria for teaching English as a second language and considers their importance in designing teaching materials.
Effects of formative tests and communicative grammar instruction on EFL students’ oral response ability
Authors: Hadeli Hadeli , Kustati Martin , Zulfikar Teuku , Azmi Hidayat Al , Arumugam Nalini
Published: June 2023

This study investigates the effect of formative exams and communicative grammar teaching strategies on the students’ oral response-ability. This research had a 2x2 factorial experimental design where 80 third-year university students were assigned using multistage cluster probability random sampling. The data were analyzed using a two-way covariance analysis (ANCOVA) to test the research hypotheses. The study outcomes demonstrated that students taught with constructive formative tests had higher achievement than those receiving the selective formative examination. The result indicated that deductive learning with concept maps was more effective in improving students’ ability of communicative competence compared to inductive learning. Additionally, this study found that students taught with deductive grammar instructional strategy accompanied by English concept maps demonstrated higher achievement in communicative competence than those taught with inductive grammar instructional strategy in the group of students treated with the selective formative test. Deductive learning procedures with concept maps had positive impacts from the inductive strategy to the student capacity to respond orally among students who were given constructive formative examinations. Notably, the effectiveness of various sub-instructional tactics and sub-formative test combinations on students’ verbal response capacity varied. Thus, English teachers must create formative examinations by considering constructive formative tests. Based on the research findings, recommendations for how teachers can improve students’ oral-response ability by adopting appropriate assessments using more deductive learning are discussed.
“Frases retorcidas” como indicador de malas prácticas editoriales
Authors:   Journals & Authors, Mercado Percia Heiner
Published: June 2023

Las “frases retorcidas” son aquellas que se usan caprichosamente en lugar de aquellas establecidas como términos fijos en una disciplina. Cabanac, Labbé y Magazinov cuentan que identificaron una serie de términos científicos estándar reemplazados por frases poco convencionales. Por ejemplo: “artificial intelligence” fue reemplazada por “counterfeit consciousness”, “big data” por “enormous information” o “Breast cancer” por “Bosom peril”.
Development of an engineering tool to analyze spectral fatigue of floating structures by means of hydro-elastic coupling
Authors: García-Valenzuela Alejandro Luna , Goedbloed Izak
Published: June 2023

Navy vessels are relative long and slender ships which must withstand, during their extensive operational life, cyclic loads produced by the seaway. Fatigue is, hence, for those vessels a dominant parameter in the structural ship design and on their operation. Due to the arising complexity of fatigue assessments, an in-house tool is developed to perform automatized spectral fatigue analysis. Tool is called SEAFALT and stands for Long-Term Spectral Fatigue Analysis. This article described the calculation process of SEAFALT, together with results of a case of study. SEAFALT controls automatically the coupling process of the hydrodynamic load calculated on each sea scenario (via ANSYS AQWA), with its correspondent Finite-Element (FE) structural response (via ANSYS MAPDL). SEAFALT calculates: the expected long-term fatigue damage on each node of the FE-model and the minimum required FAT-class.
A Truly Sustainable Digital Transformation Model for the Naval Sector
Authors: Velandia Gustavo
Published: June 2023

This document aims to show the meaning and real implications of implementing a Digital Transformation in the naval sector, explaining its three components (People - Processes - Technology), as well as the consequences of the bad practices of its application through real cases of global resonance. Subsequently, an approximation to the requirements to carry it out in an adequate and sustainable manner are stated, by understanding the concepts of the executive level that will help strategic alignment and the application of tools to achieve it, and then explain how to design and execute a Digital Transformation Strategy in any organization. Finally, a model to create a sustainable Digital Naval Industry is offered, leveraged by Industry 4.0 technologies, presenting mechanisms such as the creation of a national and regional naval cluster, which allows free exchange of data and open information in real time, whose enabler will be the Unified NameSpace (UNS).
Presentación
Authors: Mendieta Muñoz Rodrigo
Published: June 2023

La Edición No. 33 de la Revista Economía y Política se presenta en medio de las duras circunstancias de la pandemia; que de por sí, implica redoblados esfuerzos para obtener resultados de investigación, sobre todo en ciencias sociales, dadas las restricciones inherentes.
El proyecto de suministro de agua “El Zapotillo”: hechos y percepciones
Authors: Briseño Ramírez Hugo
Published: June 2023

El objetivo del presente trabajo es describir cronológicamente los hechos que se han suscitado en torno a la presa “El Zapotillo” y analizarlos a la luz del marco de análisis y desarrollo institucional (IAD) de Elinor Ostrom, con la finalidad de examinar la viabilidad del proyecto. Se revisaron fuentes periodísticas, informes técnicos, documentos gubernamentales y el Diario Oficial de la Federación (DOF) con la finalidad de rescatar los principales acontecimientos sobre este proyecto. Como resultados se encontraron elementos que explican las razones por las que el proyecto no se ha concretado. La presa genera muchas dudas e incertidumbres. Existe una situación legal complicada que hace inviable técnica y políticamente su culminación, al menos por ahora.
El teorema de Mantel-Debreu-Sonnenschein: sus consecuencias en la teoría económica y en su enseñanza
Authors: Perez-Oviedo Wilson
Published: June 2023

En el presente artículo se explica que se puede entender la enseñanza de la microeconomía en dos componentes: desde los agentes y su toma de decisiones hasta el equilibrio general y el primer teorema del bienestar; y, los límites del mercado competitivo y las diversas fallas de mercado. Se argumenta que es necesario añadir una tercera etapa a la enseñanza de la microeconomía, basada fundamentalmente en el teorema de Mantel-Debreu-Sonnenschein y en sus consecuencias. Se argumenta que este teorema señala los límites de la microeconomía neoclásica, la necesidad de incorporar elementos institucionales en el análisis macroeconómico, y en marcar distancias respecto de la estructura de las llamadas ciencias duras.
Peningkatan Pengetahuan Tentang Kesehatan Paru Dan Polusi Udara Pada Pengemudi Ojek Online
Authors: Khairani Rita , Anggiane Mustika , Ayu Woro Dyah , Widowati Henie
Published: June 2023

The most common source of air pollution in urban areas comes from motor vehicles, which account for 70% of air pollution. Indoor or outdoor air pollution can cause illness and even death. The highest mortality is in countries with low to middle income, namely in Southeast Asia and the Western Pacific region with 3.3 million deaths caused by indoor air pollution and 2.6 million deaths caused by outdoor air pollution.  Online ojek drivers are a group of workers who are vulnerable to exposure to air pollution as well as exposure to cigarette smoke. So far no studies or counseling activities have been found, especially regarding knowledge about lung health in online ojek drivers, so it is still necessary to hold health service activities in the form of education about the importance of lung health. The activity was held on Saturday, November 12, 2022 at the Faculty of Medicine Universitas Trisakti, attended by 30 online ojek drivers in the West Jakarta area. The results obtained through this activity are the increased knowledge of participants about the importance of maintaining lung health as evidenced by the increase in post test scores after attending counseling. The conclusion of this activity went well supported by all related parties starting from the institution, the implementation team and partners who actively participated. Suggestions that we can provide by conducting periodic evaluations of behavior change after receiving counseling.
Learning Al-Qur'an Using Asy-Syifaa Method at Islamic Pre-Elementary School
Authors: Muh. Hanif  , Rahma Kemala Dewi  , Abu Dharin  , Florian Pohl
Published: June 2023

Islamic Pre-Elementary school or Taman Pendidikan Al-Qur’an (TPQ) was a non-formal education in the field of the Islamic religion to create a generation that was Al-Qur’an and has good morals. At TPQ, various methods of learning the Qur'an were used to assist the learning of the Al-Qur’an to teach effectively. The article aimed to describe how the Asy-Syifaa method was implemented in the Al-Qur'an learning process at TPQ MNU Miftahul Ulum. In the implementation of it’s learning, several activities start from opening, core, and closing. This research included  qualitative research by using the collecting data of observation and interviews. This research is conducted at TPQ MNU Miftahul Ulum, Kalijambe Village Tarub District, Tegal Regency. The result indicates that the application of the Asy-Syifaa method in learning at TPQ is considered much more effective, which consists of 4 volumes in the Al-Qur'an learning process. The learning stages are opening in class, individual, classical, and closing. Three kinds of evaluation are applied: daily evaluation, volume increase evaluation, and final evaluation of learning the Qur'an. Keywords: Asy-Syifa Method, Al-Qur'an Learning Process, Asy-Syifaa Learning Method
A new species of Ceresium Newman, 1842 (Coleoptera, Cerambycidae) from Thailand
Authors:   Rostov branch of FSI “VNIIKR”, 20th line, 43/16, Rostov-on-Don 344037, Russia, Kasatkin D.G.
Published: June 2023

A new unusual species of the genus Ceresium Newman, 1842 is described from SE Thailand. Ceresium svetlanae sp. n. characterized by black body coloration, white transversal band on elytra, and white spots in pronotal edges. Elytral and pronotal tomentose cover is represented by scaly setae and scales, last tarsomeres with ventral large hook-like spine on apex.
Using machine learning to optimize production training processes in the oil and gas industry
Authors: Ахтямова Д.А. , Волкова К.Ю. , Кащеев С.А. , Максимов С.А. , Шайгатдарова А.Р.
Published: June 2023

Нефтегазовая отрасль является важнейшей отраслью экономики России, которая вносит значительный вклад в экономический рост и развитие страны. В данной отрасли производственные процессы обучения являются одним из ключевых элементов, которые влияют на эффективность работы предприятий и на достижение высоких результатов. В настоящее время развитие машинного обучения во всем мире наблюдает стремительный рост, и его применение находит все больше отраслей экономики. Одной из таких отраслей является нефтегазовая промышленность, которая активно использует современные технологии, включая машинное обучение, для оптимизации производственных процессов и повышения эффективности добычи нефти и газа. Россия, являющаяся одним изкрупнейших производителей нефти и газа в мире, также активно развивает применение машинного обучения в нефтегазовой отрасли. Однако, в связи с быстрым развитием технологий и изменением экономической ситуации, компании должны готовиться к изменениям и постоянно совершенствовать свои методы и подходы для достижения успеха. В данной статье мы рассмотрим применение машинного обучения в нефтегазовой отрасли России, а также определим, как выпускники вузов, специализирующихся на машинном обучении, могут работать в этой отрасли. Мы также рассмотрим перспективы развития нефтегазовой отрасли в России в будущем, с учетом быстрого развития технологий и изменения экономической и политической ситуации в мире.

The oil and gas industry is the most important sector of the Russian economy, which makes a significant contribution to the economic growth and development of the country. In this industry, production training processes are one of the key elements that affect the efficiency of enterprises and the achievement of high results. Currently, the development of machine learning around the world is seeing rapid growth, and more and more sectors of the economy are using it. One of these industries is the oil and gas industry, which actively uses modern technologies, including machine learning, to optimize production processes and improve the efficiency of oil and gas production. Russia, which is one of the largest oil and gas producers in the world, is also actively developing the use of machine learning in the oil and gas industry. However, due to the rapid development of technology and the changing economic situation, companies must prepare for changes and constantly improve their methods and approaches to achieve success. In this article, we will look at the application of machine learning in the Russian oil and gas industry, and also determine how graduates of universities specializing in machine learning can work in this industry. We will also consider the prospects for the development of the oil and gas industry in Russia in the future, taking into account the rapid development of technology and the changing economic and political situation in the world.
Uzbek maqamat and composers creative
Authors: Абдуллаев Р.С.
Published: June 2023

В статье рассматриваются вопросы взаимоотношений традиционной музыки и композиторского творчества в музыкальной культуре Узбекистана, в которой макомат в его различных аспектах проявления реализовал свои огромные креативные возможности при создании национальной стилистики в новых жанрах профессионального многоголосного искусства: в музыкально-сценических произведениях (музыкальная драма, опера, балет) В. Успенского и Г. Мушеля, М. Ашрафи, С. Василенко, Т. Садыкова, Р. Глиэра, М. Бурханова, У. Мусаева, И. Акбарова, М. Бафоева; в симфонической музыке Т. Курбанова, М. Таджиева, М. Махмудова и других.

The article deals with the relationship between traditional music and composer creativity in the musical culture of Uzbekistan, in which maqamat, in its various aspects of manifestation, has realized its enormous creative potential in creating national stylistics in new genres of professional polyphonic art: in musical stage works (musical drama, opera , ballet) V. Uspensky and G. Muschel, M. Ashrafi and S. Vasilenko, T. Sadykov and R. Glier, M. Burkhanov, U. Musaev, I. Akbarov, M. Bafoev; in symphonic music by T. Kurbanov, M. Tajiev, M. Makhmudov and others.
A flexible, scalable generative network for self-supervised tomographic image reconstruction
Authors: Dong Hongyang , Jacques Simon D.M. , Kockelmann Winfried , Price Stephen W. T. , Emberson Robert , Matras Dorota , Odarchenko Yaroslav , Middelkoop Vesna , Giokaris Athanasios , Gutowski Olof , Dippel Ann-Christin , v. Zimmermann Martin , Beale Andrew M. , Butler Keith T. , Vamvakeros Antonis
Published: June 2023

We present a lightweight and scalable artificial neural network architecture which is used to reconstruct a tomographic image from a given sinogram. A self-supervised learning approach is used where the network iteratively generates an image that is then converted into a sinogram using the Radon transform; this new sinogram is then compared with the sinogram from the experimental dataset using a combined mean absolute error and structural similarity index measure loss function to update the weights of the network accordingly. We demonstrate that the network is able to reconstruct images that are larger than 1024 × 1024. Furthermore, it is shown that the new network is able to reconstruct images of higher quality than conventional reconstruction algorithms, such as the filtered back projection and iterative algorithms (SART, SIRT, CGLS), when sinograms with angular undersampling are used. The network is tested with simulated data as well as experimental synchrotron X-ray micro-tomography and X-ray diffraction computed tomography data.
Mutexa: A Computational Ecosystem for Intelligent Protein Engineering
Authors: Yang Zhongyue , Shao Qianzhen , Jiang Yaoyukun , Jurich Christopher , Ran Xinchun , Juarez Reecan , Yan Bailu , Stull Sebastian , Gollu Anvita , Ding Ning
Published: June 2023

Protein engineering holds immense promise in shaping the future of biomedicine and biotechnology. This review focuses on our ongoing development of Mutexa, a computational ecosystem designed to enable "intelligent protein engineering". In this vision, researchers can seamlessly acquire sequences of protein variants with desired functions as biocatalysts, therapeutic peptides, and diagnostic proteins by interacting with a computational machine, similar to how we use Amazon Alexa in these days. The technical foundation of Mutexa has been established through the development of database that integrates enzyme structures with their respective functions (e.g., IntEnzyDB), workflow software packages that enable high-throughput protein modeling (e.g., EnzyHTP and LassoHTP), and scoring functions that map the sequence-structure-function relationship of proteins (e.g., EnzyKR and DeepLasso). We will showcase the applications of these tools in benchmarking the convergence conditions of enzyme functional descriptors across mutants, investigating protein electrostatics and cavity distributions in SAM-dependent methyltransferases, and understanding the role of non-electrostatic dynamic effects in enzyme catalysis. Finally, we will conclude by addressing the future steps and challenges in our endeavor to develop new Mutexa applications that facilitate the selection of beneficial mutants in enzyme engineering.
Dimer interface destabilization of photodissociative Dronpa driven by asymmetric monomer dynamics
Authors: McCulley Christina H. , Walker Alice R.
Published: June 2023

Photoswitchable Dronpa (psDronpa) is a unique member of the fluorescent protein family that can undergo reversible photoinduced switching between fluorescent and dark states and has recently been engineered into a dimer (pdDronpaV) that can dissociate and reassociate as part of its photoswitchable pathway. However, the specific details of the protein structure-function relationship of the dimer interface, along with how the dimer proteins interact with each other upon chromophore isomerization, are not yet clear. Classical molecular dynamics simulations were performed on psDronpa as monomers and dimers as well as the pdDronpaV dimer and with cis/trans chromophore structures. Analysis of the cis and trans isomers of the chromophore illustrated key differences between their interaction with residues in the protein in both the monomer and dimer forms of psDronpa. The chromophore was found to interact with water solvent uniquely in both monomeric and dimeric systems. Examination of the psDronpa dimer showed nonidentical chromophore interactions between the domains, indicating domain directional favoring. Examination of the trans form of pdDronpaV illuminated the importance of hydrogen bonding between the monomeric domains in maintaining their association as well as illustrating the motion of dissociation of the domains. This discovery offers important information for possible future mutations of pdDronpaV that might be made to accelerate dissociation.
The Mechanism to Enhance the Nucleophilicity of Water in Hydroxylation of Alkenes, Epoxides, and Allylic Carbonates
Authors: Gu Liuqun
Published: June 2023

Direct asymmetric hydration of alkenes with water as a nucleophile toward chiral secondary/tertiary alcohols with chem catalysis is an unmet challenge in organic chemistry, though it is the most atom economic synthetic pathway. An obstacle was the lack of the general knowledge on how to improve the nucleophilicity of water, because water is a poor nucleophile tutorially. The mechanism to enhance the nucleophilicity of water is elucidated here and three general principles were proposed via a discussion on recent reported data.
Porous supramolecular gels produced by reversible self-gelation of ruthenium-based metal-organic polyhedra
Authors: Troyano Javier , Tayier Fuerkaiti , Phattharaphuti Phitchayapha , Aoyama Takuma , Urayama Kenji , Furukawa Shuhei
Published: June 2023

Supramolecular gels based on metal-organic polyhedra (MOPs) represent a versatile platform to access processable soft materials with controlled porosity. Herein, we report a self-gelation approach that allows the reversible assembly of a novel Ru-based MOP in the form of colloidal gels. The presence of cationic mixed-valence [Ru2(COO)4]+ paddlewheel units allows for modification of the MOP charge via acid/base treatment, and therefore, its solubility. This feature enables control over supramolecular interactions, making it possible to reversibly force MOP aggregation to form nanoparticles, which further assemble to form a colloidal gel network. The gelation process was thoroughly investigated by time-resolved ζ-potential, pH, and dynamic light scattering measurements. This strategy leads to the evolution of hierarchically porous aerogel from individual MOP molecules without using any additional component. Furthermore, we demonstrate that the simplicity of this method can be exploited for the obtention of MOP-based gels through a one-pot synthetic approach starting from MOP precursors.
Cu(I)-catalysed enantioselective chlorine atom transfer with vinyl radicals
Authors: Tang Jun-Bin , Bian Jun-Qian , Zhang Zhihan , Cheng Yong-Feng , Qin Li , Gu Qiang-Shuai , Yu Peiyuan , Liu Xin-Yuan
Published: June 2023

Enantioselective intermolecular atom transfer reactions of vinyl radicals have hitherto remained elusive mainly due to their inherently high instability and reactivity which significantly compromises the stereodiscriminating substrate-catalyst interactions. Herein, we describe Cu(I)-catalyzed enantioselective chlorine atom transfer with vinyl radicals using tailormade tridentate anionic N,N,N-ligands featuring bulky peripheral substituents. This reaction readily accommodates (hetero)aryl and alkyl sulfonyl chlorides as radical precursors and more importantly, a large panel of 2-aminoaryl and 2-oxyaryl alkynes as substrates, providing highly transformable axially chiral vinyl chlorides in moderate to good yield with excellent enantioselectivity. The reaction can be easily scaled up to gram scales and straightforward manipulations of the thus obtained vinyl halides lead to axially chiral thiourea, pyridyl carboxamide, and quinolyl sulfonamide compounds, which are promising chiral reagents for asymmetric catalysis. Both experimental and theoretical mechanistic studies supported the proposed chlorine atom transfer reaction mechanism.
Elementary Teachers Experiences with Trauma-Informed Practice
Authors: Puchner Laurel D. , Markowitz Linda J.
Published: June 2023

This qualitative study used in-depth interviews to understand teacher experiences implementing trauma informed practice (TIP) at an elementary school in the Midwestern U.S. School leaders had implemented a large-scale TIP effort a few years prior to the study. The study found that the interviewees supported and implemented TIP and perceived that most other teachers in the school did too. Interviewees also believed that although it was diminishing, resistance to TIP still existed among staff. Study findings indicate that social interaction among staff around TIP was important for its spread. Finally, because many of the instructional practices that make up TIP are not new, but rather practices already known in the field to be effective, our findings shed light on how repackaging and reframing instructional practices may help in instructional reform.
REPRODUCTIVE CAPACITY AND FRUITING TIME OF QUEENS OF MEAT BREEDS OF DIFFERENT ORIGIN IN THE SOUTH-EAST OF KAZAKHSTAN
Authors:   Timirâzevskaâ selʹskohozâjstvennaâ akademiâ, BASITOV K.T.
Published: June 2023

The results of studies on determining the reproductive capacity and gestation period of Etti merino ewes in purebred breeding (EM × EM) and two-breed crossing of Etti merino ewes with Dohne and Australian meat merino rams in the conditions of the foothill zone of Kazakhstan are presented.
MEAT PRODUCTIVITY OF RAMS OF THE EDILBAEVSKAYA BREED DEPENDING ON THE SIZE OF THE FAT-TAIL
Authors:   Timirâzevskaâ selʹskohozâjstvennaâ akademiâ, LUSHNIKOV V.P.
Published: June 2023

The article presents the indicators of meat productivity of sheep of the Edilbaevsky breed when sold for meat in the year of their birth, taking into account the size of the fat tail.
MILK PRODUCTIVITY OF MEAT BREEDS OF SHEEP OF DIFFERENT ORIGIN IN THE SOUTH-EAST OF KAZAKHSTAN
Authors:   Timirâzevskaâ selʹskohozâjstvennaâ akademiâ, BASITOV K.T.
Published: June 2023

The article provides data on milk productivity in the age dynamics of sheep meat breeds: Etti merino, Dohne and Australian meat merino in the conditions of the foothill zone of the South-East of Kazakhstan.
Konstruksi Qira'ah I'jaziyyah ân al-Qur`an M. Abdullah Darraz
Authors: Intizham Kemas Muhammad , Saputra Adang
Published: June 2023

This article tries to describe the M. Abdullah DarrÄzâ€™s toughts on iâ€™jÄz al-Qur`Än as basic of reading-cum-understanding on the Qur`Än. Initially, the discussion of iâ€™jÄz al-Qur`Än started from debate among the scholars about theological doctrines on the Qur`Än such as al-muâ€™Äraá¸ah, at-taá¸¥addÄ«, tark al-muâ€™Äraá¸ah, and al-â€™ajz. But, DarrÄz was able to discussed the discourse of iâ€™jÄz into domain of Qur`anic interpretation, and also Qur`anic reception in his work: an-NabÄ` al-â€™Aáº“Ä«m: Naáº“arÄt JadÄ«dah fÄ« al-Qur`Än. Through his work, DarrÄz was able to formulated the principles of reading-cum-understanding on the Qur`Än are sourced from its iâ€™jÄzâ€”which I term it with qirÄ`ah iâ€™jÄziyyah â€™an al-Qur`Änâ€”such as principle of coherence, intertextuality and stylistics of the Qur`Än.