bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance of Thermally Activated Laterite Soil as Adsorbent for the Removal of Chromium and Copper
Authors: Dissanayake N.U.S.  , Jayawardana D.T.  , Buddhima A.V.P.S.  , Mapatuna M.H.L.  , Hisho R.
Published: June 2022

The presence of heavy metals in the environment is a major cause of concern due to its negative impact on environment and human health. Adsorption has been proven to be one of the best options for pollution reduction in water, thus the use of thermally activated laterite soil for removal of Chromium (VI) and Copper ions from aqueous solutions was examined in this study. Two different laterite grain sizes of thermally activated laterite soil were used in the sorption experiment to remove the above mentioned ions from synthetic wastewater under laboratory conditions. The soil was gathered using the auger drilling method in Sri Lanka’s Western Province. The excess moisture content in the soil samples was removed by air drying it for 48 hours before crushing them to get powdered material (2 mm and 0.5 mm). Thermally activated soil samples were prepared by heating laterite in a muffle furnace for 3 hours at 100 C, 200 C, 300 C, and 400 C. In order to determine the optimal adsorption conditions of chromium and copper ions into laterite soil, batch experiments were conducted at room temperature and natural pH. Based on the results of studies, thermally activated soil under 200 C temperatures for both 2 mm and 0.5 mm grain sizes gave maximum removal efficiencies for Chromium and Copper ions. The optimal contact time for 2 mm and 0.5 mm grain sizes for Chromium and Copper ions removal were around 20 minutes. Maximum removal efficiencies of Chromium and Copper were identified at 0.1 g of optimal soil dosage for 2 mm and 0.5 mm grain sizes. The results revealed that, thermal activation of laterite could give the considerable removal efficiencies for Chromium and Copper ions removal from water.

Keywords: Adsorption, Activated laterite, Chromium, Copper, Optimum time
Impacto de la Covid-19 en el uso de las bibliotecas universitarias espaÃ±olas durante 2020: una herramienta web para el anÃ¡lisis
Authors: LÃ¡zaro-RodrÃ­guez Pedro
Published: June 2022

Se presentan los resultados de un anÃ¡lisis del impacto de la Covid-19 en el uso de las bibliotecas universitarias espaÃ±olas durante 2020, tomando como referencia para la comparaciÃ³n el uso en 2019. Los resultados se han implementado en una aplicaciÃ³n web que se da a conocer y que permite profundizar en el anÃ¡lisis de las bibliotecas una a una y para el conjunto. El estudio no consiste en una evaluaciÃ³n de las bibliotecas. Se trata de medir, describir y dar a conocer por medio de una cuantificaciÃ³n, el impacto negativo que supuso la crisis sanitaria durante 2020. Las visitas, los prÃ©stamos fÃ­sicos domiciliarios, las consultas de documentos digitales, la formaciÃ³n a usuarios y las visitas al catÃ¡logo son variables que se vieron fuertemente afectadas, detectando solo un gran aumento en las visitas a las webs de las bibliotecas. El uso de los recursos digitales segÃºn datos compilados con criterios Counter aumentÃ³ considerablemente en ciertas bibliotecas de universidades privadas, en algunas de las cuales se detecta tambiÃ©n un posible recorte en el personal. El trabajo acaba planteando algunas reflexiones que pueden ser complementadas y completadas con experiencias de personas relacionadas con las bibliotecas y con futuros trabajos que incluyan datos de siguientes aÃ±os tras su recogida y publicaciÃ³n.
APIs en contextos bibliomÃ©tricos: introducciÃ³n bÃ¡sica y corpus exhaustivo
Authors: Torres-Salinas Daniel , Arroyo-Machado Wenceslao
Published: June 2022

La bibliometrÃ­a se encuentra ante un intrincado universo de datos, cambiante y en expansiÃ³n, existiendo todo un ecosistema de fuentes de datos en el que es fÃ¡cil perderse. En este complejo escenario las APIs se posicionan como la soluciÃ³n perfecta para lidiar con esta heterogeneidad y de paso obtener datos a medida. Si bien no han irrumpido por sorpresa, es ahora el momento de ponerlas en valor y promover su uso, facilitando el trabajo con ellas. De este modo, en este trabajo realizamos un acercamiento prÃ¡ctico a las APIs en el campo de la bibliometrÃ­a. Con este objetivo llevamos a cabo una introducciÃ³n a las APIs y los nuevos procesos de trabajo que su uso conlleva. Asimismo, ofrecemos un corpus en el que recopilamos 49 APIs de interÃ©s para los bibliÃ³metras, organizadas por tipologÃ­a y acceso, asÃ­ como paquetes de programaciÃ³n en R y Python que facilitan su uso.
Recommendations on Development of Distinct Utterance of Junior Schoolchildren with ASD
Authors: Botyleva Polina Sergeevna
Published: June 2022

Связная речь, связные высказывания, расстройства аутистического спектра, младшие школьники.
INFLUENCE MECHANISMS OF INNOVATION-BASED ACTIVITY OF SMALL AND MEDIUM ENTERPRISES IN THE FORMATION OF A COMPETITIVE ECONOMY
Authors: ZEYNALOV ANAR.A.
Published: June 2022

Topicality. The topicality is that innovative actions are critical for demonstrating resilience in an increasingly competitive global economy. As a result, market participants must constantly adapt and upgrade their products, services, and manufacturing methods to take advantage of the most recent scientific and technological advances. It is critical to investigate, develop, and implement innovative ideas, methods, and products that will improve the economy and society.

Aim and tasks. The analysis and study of mechanisms for increasing competitiveness and increasing the share of the international market in economic competition and development, identifying the economic contribution of innovative entrepreneurship, is the development of small and medium enterprises in a rapidly globalizing world.Research results. The prospects for the development of small and medium businesses in industrialized countries were examined, and recommendations for the actions were made. The establishment of a socioeconomic system that will assure long-term economic progress is critical for modern society's well-being. Development and competitive advantages are determined by science, innovation, and technology. All three of these criteria are necessary for long-term economic growth and sustainable productivity increase. In highly developed industrial societies, small and medium enterprises (SMEs), which play an important role in technological growth, form the foundation of the economic structure. As a result, it's critical to foster a technical innovation culture in SMEs, encourage creative thinking in the development of new products, processes, and services, improve knowledge management skills, and encourage risk-taking.

Conclusion. Materials and findings in the study can be utilized to establish complicated and systematic measures, as well as conceptual approaches to problem solving, in order to create a competitive economy of innovative small and medium businesses in modern times.
WEED CONTROL AND SUNFLOWER PRODUCTIVITY IN THE SOUTHERN STEPPE OF UKRAINE
Authors:   Mykolaiv National Agrarian University, Antypova L. , Chornyy S.
Published: June 2022

The results of research on the growth and development of sunflower plants in the period of formation of its productivity in the southern steppe of Ukraine, depending on the methods of basic tillage and the degree of weeding agrophytocenosis. The effectiveness of chemical weeding with the herbicide Euro-Lightning® Plus crops of sunflower, the plants of which were grown against the background of deep (28-30 cm) shelfless tillage, has been proven. Key words: sunflower, weediness, methods of basic tillage, weather conditions, productivity.
After Disasters
Authors: Linder Benjamin , Murton Galen
Published: June 2022

This article explores the COVID-19 pandemic to extend the temporal horizon of (post-)disaster mobilities research. We are not only interested in the conspicuous disruption to mobilities wrought by disasters, nor the emergent modes of movement constituted in disasters’ immediate aftermaths. Rather, with special reference to Nepal, this article attends to the jagged and protracted process of remobilizing the world in the wake of dramatic events like COVID-19. In short, we are concerned here with the uneven politics of “getting back to normal.” Two dimensions of this are discussed via a critical reflection on the widespread “dimmer switch” metaphor of remobilization: (1) the uneven rhythms and refractions of remobilization, and (2) the hegemony of “normal” mobilities systems. Using “light” as an illuminating analytic, we renew calls to examine the disparate impacts of disasters themselves, and also to analyze the uneven politics of “getting back” to “normal” mobilities after disasters.
IMPROVING THE QUALITY CONTROL OF BROILER CHICKEN CARCASSES THROUGH THE USE OF PHARMACOLOGICAL AGENTS FOR THE CORRECTION AND PREVENTION OF PRE-SLAUGHTER STRESS
Authors: Sayfulmulyukov E. R. , Miftakhutdinov А. V.
Published: June 2022

This article presents an experiment carried out on broilers of Arbor Acres cross in an industrial poultry farm. For the experiment, the authors divided the broiler birds into three groups. Poultry of the control group received basic ration; poultry of the 1st experimental group received feed additive at a dose of 1269 g/t feed 5 days before slaughter; poultry of the 2nd experimental group received feed additive at a dose of 1693 g/t feed 5 days before slaughter. Broilers were slaughtered on day 38 of rearing. The following types of defects were recorded during slaughtering: dermatitis, cellulitis; back scratches; splinter hemorrhages, bruises, hematomas, bruises; dislocations, closed and open fractures; poor bleeding; skin tears; under-plucking; the presence of internal organs; over-steaming of the carcass. The authors applied the Ishikawa method, Pareto charts, ABC analysis, and cluster analysis to assess the quality of broiler chicken carcasses. Based on the results of these studies, the authors identified 41.7 % of defects that reduce the quality of poultry carcasses and 58.3 % of critical defects that lead to meat culling. Using clustering methods and ABC analysis, the authors identified the most important category of critical defect, D2C. This defect in poultry occurs during the rearing and processing phase. The application of the stress-corrector reduced the number of D2C defects in the 1st experimental group by 33.3 %; in the 2nd experimental group by 18.2; D2GD in the 2nd experimental group by 22.2 %. Thus, the use of statistical evaluation methods increases the efficiency of industrial control over the quality level of broiler chicken carcasses.
FROM THE HISTORY OF YAK-CATTLE HYBRIDISATION IN THE HIGHLANDS OF OIROTIA
Authors: Bakhtushkina A. I.
Published: June 2022

The article notes the main results of the research work of the Oirot zonal experimental station (now Gorno-Altaisk Research Institute of Agriculture) on the improvement of local cattle based on hybridization with yak. The author presented the main conclusions of the results of the hybridization of yak with cattle: hybrids of the first generation possess heterosis in live weight, meat content, milk fat, which is significantly higher than in the original animals; yak hybrids sufficiently retain the high ability to pasture during the winter, foraging from under the snow. Shorthorn hybrid animals had higher growth vigor in all rearing periods compared to Siberian Simmental hybrids and purebred yaks. The live weight of the hybrid animals averaged 140 kg compared to 68.3 kg for yaks of the same age, indicating that the smallness of the yak could be eliminated. The increased hemoglobin in the blood of the hybrid animals indicated a more intensive metabolism, and more vigorous growth of the organism, which serves as one of the indicators of the high qualities of endurance and adaptability of hybrids.
PECULIARITIES OF THE USE OF INNOVATIVE GROWTH REGULATORS IN POTATO AND SOYBEAN CULTIVATION IN THE FOREST-STEPPE OF THE PRIOB’E AREA
Authors: Albert M. A. , Petrov A. F. , Shulga M. S. , Galeev R. R. , Kovalev E. A.
Published: June 2022

The authors cited the results of comprehensive experiments on the application of innovative environmentally acceptable growth regulators on industrial crops: potatoes and soybeans. The experiments were conducted in 2019-2021 in the soil and climatic zone of the drained forest-steppe in the conditions of chernozem on potato varieties, Lyubava (early) and Tuleevsky (medium maturing), and soybean on grain Zolotistaya (early maturing).  These experimental fields belong to the Educational and Experimental Farm “Praktik” of Novosibirsk Region and the Closed Joint-Stock Company Livestock Breeding Farming “Irmen” of Novosibirsk Region. The maximum photosynthetic performance of Novosil and Ecofus applied to potatoes and soybeans is up to 19 % compared to control. The authors of the study treated crops before sowing as well as on the shoots before the beginning of the phase of budding. The yield against the growth regulators used increased significantly by 21-24 % when Novosil and Ecofus were applied during seed treatment and when spraying vegetative plants before the phase of budding. It was statistically established that the potato yield depended on variety by 30 %, on growth regulators by 33, and on conditions of the year by 23 %.
ANALYSIS OF LEGAL AND REGULATORY ENVIRONMENT IN CONTEST BOVINE LEUKEMIA VIRUS
Authors: Yushkova L. Ya. , Agarkova T. A. , Donchenko N. A. , Donchenko A. S. , Kim A. S. , Amirokov M. A.
Published: June 2022

The authors reviewed scientific and regulatory documents on the prevention and control of bovine leukemia. Bovine leukemia is an infectious disease of tumor nature with a chronic course, the main sign of which is the malignant overgrowth of cells of the hematopoietic organs with disruption of their maturation. Such overgrowth eventually leads to diffuse infiltration of the organs by these cells or the development of a tumor. The disease is asymptomatic in 70 % of infected animals, causing persistent lymphocytosis and lymphosarcoma in 30 and 5 % of infected animals, respectively. Infections caused by retroviruses share some common features: long incubation period, latent or chronic course, strictly limited range of susceptible animals, and long persistence of the virus in the body. The virus persists in the body throughout the life of an animal.
New records for Brazil and revised distribution of Lionycteris spurrelli (Phyllostomidae: Lonchophyllinae), with notes on its morphological diagnosis
Authors: Paes Juliano A. S. V. , Garbino Guilherme S. T. , Oliveira Fred V. , do Nascimento Maria Clara
Published: June 2022

Nós reportamos dez novas localidades para o morcego nectarívoro Lionycteris spurrelli Thomas, 1913 no Brasil, com novas ocorrências para a Amazônia, Mata Atlântica e Cerrado. Novos registros para o estado de Minas Gerais representam os limites de distribuição austral para a espécie. Ainda reportamos a segunda localidade conhecida de L. spurrelli para o estado do Mato Grosso, a terceira para o estado do Amazonas e os primeiros registros para a região sudeste do estado do Pará. Apresentamos dados morfométricos e discutimos os caracteres diagnósticos da espécie, comparando-os com dados publicados.
Mogućnosti primjene mikoriznih gljiva u ekološkoj poljoprivredi
Authors: Širić Ivan , Držaić Valentino , Friganović Tiana
Published: June 2022

Mikoriza predstavlja simbiozu između gljive i biljke pri čemu gljiva od biljke dobiva organske tvari sintetizirane putem fotosinteze, a biljka uz pomoć hifa gljiva lakše absorbira vodu i hraniva. Primjena mikorize u poljoprivredi ima brojne prednosti – omogućava uzgoj bilja u tlima nepovoljnih karakteristika, poboljšava ishranu bilja, mineralizaciju organske tvari, efikasnije iskorištavanje fosfora i dušika, povećava otpornost kultura na stres presadnje, suše i soli, teške metale u tlu i patogene te povećava prinos i kvalitetu. Primjena mikorize u ekološkom uzgoju je sve više zastupljena u praksi, osobito u proizvodnji plodovitog povrća, u maslinarstvu i vinogradarstvu. Arbuskularno-mikorizne gljive za koje se smatra da mogu zamijeniti gnojiva i biocide koji nisu dopušteni u ekološkim sustavima proizvodnje imaju veliku mogućnost primjene u ekološkoj poljoprivredi. Osim što se upotrebom gljiva kao biofertilizatora postiže održavanje ili poboljšavanje plodnosti tla, promiče se ekološka proizvodnja hrane koja predstavlja cjeloviti sustavan pristup poljoprivredi, koji potiče kontinuirane inovacije na gospodarstvima, a u svrhu okolišnog, društvenog i ekonomskog boljitka. Primjena mikoriznih gljiva u svim segmentima ekološke proizvodnje ima veliki potencijal u budućnosti u Republici Hrvatskoj i u svijetu.
Uloga biostimulatora u smanjenju stresa biljaka
Authors: Mešić Aleksandar , Pajač Živković Ivana , Vokurka Aleš , Židovec Vesna , Duralija Boris
Published: June 2022

Biostimuatori su (ne-hranjive) tvari ili mikroorganizmi koji pospješuju procese hranidbe biljaka i doprinose smanjenju posljedica stresa uzrokovanog abiotičkim i biotičkim čimbenicima. Mogu biti mikrobni (korisne bakterije i gljive) i nemikrobni (huminske kiseline, aminokiseline, ekstrakti morskih algi, kitozan i anorganski biostimulansi). Različitim mehanizmima djelovanja biostimulatori potiču učinkovitije iskorištavanje hraniva, otpornost biljaka na stres i povoljno djeluju na kvalitativna svojstva biljaka. Uslijed restrikcija u primjeni sredstava za zaštitu bilja i gnojiva, kao dio alternativnih rješenja pojavljuju se biostimulatori.
Comparative content analysis in hospitality journals
Authors: ÇALIŞKAN Gürkan , OKTAY Kutay
Published: June 2022

This dynamic structure has also shown itself in tourism studies, which have been carried out on current issues. This study examined articles published in hospitality journals in the last 40 years. International Journal of Contemporary Hospitality Management, Journal of Hospitality & Tourism Research, and International Journal of Hospitality Management in SSCI were selected as case studies. Five thousand three hundred and ninety-five articles in the journals were analyzed using the content analysis method. MAXQDA and VOSviewver programs were used as analysis tools. Comparative content analysis was made. The changes in the word frequencies of the studies were revealed in 10-year periods. Keywords of the articles, author collaborations, and country collaborations were analyzed. The study results show that the main themes of the research are similar, but different words come to the fore over time. The keywords Satisfaction, Hotels, Hospitality, and Tourism were used more. Themes such as social media, social customer, social life, social management, customer, value, communication, and the brand were used more, especially after the 2000s. The United States, Hong Kong, and China are first-in cooperation countries. The most productive authors are Hua, N., Kim, H., Han, H., Matilla, A. S., and Law, R..
K-Nearest Neighbors Algorithm to Student Opinion of the Online Learning Method at Wira Wacana Sumba Christian University
Authors: Tanggu Mara Andry Ananda Putra , Sediyono Eko , Purnomo Hindriyanto
Published: June 2022

The education sector is one of the areas that has felt the major impact of the Covid-19 pandemic. The impact that arises is the teaching and learning process must be carried out from home using the online learning method. This teaching and learning method raises a variety of responses from students. This is what makes researchers analyze these views, both in the form of positive opinions or negative opinions. The analysis process is carried out by applying sentiment analysis or opinion mining from the comment on Facebook, text mining is processed using the preprocessing method, labeled it to positive and negative. Based on the available data, a classification process is carried out using the K-Nearest Neighbors algorithm. Rapid Miner is used to experiment text data with the KNN algorithm in order to find the value of accuracy, precision and recall. From the results of research, it was obtained a value of 87.00% for accuracy and 0.916 for the AUC value. The values ​​are high enough for the classification of student opinion against this pandemic so that this research is classified as Excellent Classification.
Respon Guru Terhadap Kendala Proses Pembelajaran Biologi Di Masa Pandemi COVID-19
Authors: Kurniati Tuti , Yusup Iwan Ridwan , Hermawati Asni Sri , Kusumahwardani Devi , Wijayanti Dewi , Irhamudzikri Irhamudzikri
Published: June 2022

Pada saat kondisi pandemi, guru perlu menggunakan metode pembelajaran yang tepat dan sesuai dengan materi yang akan disampaikan dan tujuan pembelajaran yang ingin dicapai. Tujuan dalam penelitian untuk mengetahui respon guru terhadap kendala dalam proses pembelajaran Biologi pada masa pandemi covid-19. Metode penelitian ini menggunakan metode kualitatif deskriptif, dengan pengisian angket berupa Google Form. Hasil dari respon para guru yaitu mengenai kehadiran 70% - 90% melakukan alternatif berupa via on camera dan gooogle form, mengenai kendala sinyal dan kuota dari 90% - 100% menyiapkan alternatif berupa pemberian bahan ajar dan media, mengenai kendala penilaian dari 60% - 100% menyiapkan alternatif berupa daily journey dan diskusi, mengenai kendala penjelasan materi rata-rata guru menyiapkan alternatif berupa video penjelasan 60%, kuis 100% dan video animasi 100%, mengenai kendala praktikum bahwa guru rata-rata memberikan alternatif membuat video dan memberi soal dengan 100% dan memberikan alternatif video sederhana 80%. Beberapa kendala yang terjadi pada pembelajaran biologi secara daring antara lain jaringan internet, kehadiran siswa selama berlangsungnya pembelajaran, proses berlangsungnya pembelajaran, pelaksanaan praktikum dan penilaian siswa. Dari kendala tersebut guru memberikan beberapa alternatif agar pembelajaran tetap berlangsung ditengah keterbatasan antara guru dan siswa.
Meningkatkan Minat Belajar Siswa Menggunakan Model Blended Learning Berbasis Pada Google Classroom
Authors: Kurniasari Wening , Murtono Murtono , Setiawan Deka
Published: June 2022

Penelitian ini bertujuan mendeskripsikan Pembelajaran Blended Learning untuk meningkatkan minat belajar siswa. Blended Learning merupakan aplikasi tercipta untuk mengatasi keterbatasan antara pendidik dan anak didik, terutama dalam hal ruang dan waktu. Minat   belajar   adalah   aspek   psikologi   seseorang   yang menampakkan diri dalam beberapa gejala, seperti; gairah, keinginan, perasaan suka untuk melakukan proses perubahan tingkah laku melalui berbagai kegiatan yang meliputi mencari pengetahuan dan pengalaman. Penelitian ini menggunakan deskriptif kualitatif dengan pendekatan fenomenologi, yaitu menggambarkan atau melukiskan objek penelitian berdasarkan fakta-fakta yang tampak atau sebagaimana adanya. Hasil penelitian menunjukkan bahwa pembelajaran bisadilakukan secara online menggunakan blended learning sehingga perlu untuk memberikan perhatian penuh didalam belajar dan adanya perhatian tersebut karena siswa merasa senang dan tertantang mengikuti kegiatan pembelajaran baik di kelas maupun didalam classroom. Faktor minat belajar siswa dipengaruhi oleh faktor intern dan faktor ekstern. Siswa yang memiliki kemampuan diri secara fisik maupun mental yang baik dan kondisi lingkungan yang mendukung, maka dapat menumbuhkan minat belajar siswa yang baik. Pembelajaran blended learning sangat membantu dalam pembelajaran pada masa pandemic seperti saat ini sehingga dapat menumbuhkan minat belajar anak dan anak semakin termotivasi untuk belajar.
Comparison Of FLC And ANFIS Method To Keep Constant Voltage Based On Flyback Converter
Authors: Nismayanti Nila Nanda , Sudiharto Indhana , Yanaratri Diah Septi
Published: June 2022

The development of tecnology suggest humans to always create certain types of renewable inovation, which are usefull for public facilities. Especially in information technology we always need to do the things like work, school and etc using gadget. To reduce various kind of problems on battery health, needs an inovation about charger station in public places. This charger station has a single input single output system so that using just 1 battery source can be used for charging. To realize this charging system, a flyback converter that is capable of working with single input single output is used, which is of course controlled by the Adaptive Neuro Fuzzy Inference System (Anfis) so that the resulting output voltage remains constant, which is 19 V
Study of Development of Small-Competitive Cooperative and Business Developments in Dealing with Industrial Era 4.0 in West Java Province
Authors: Kader Mukhtar Abdul
Published: June 2022

This study examines specifically about how the development of cooperatives and Micro Enterprises can compete in the industrial era 4.0, Of the 24,048 cooperatives and MSEs in West Java, 37.40% are classified as inactive, this indicates that cooperatives and micro-small businesses have not been able to compete with other business entities, especially the use of internet technology as the main characteristic of the industrial era 4.0, this inability causes high unemployment, which subsequently causing new poverty in society. In 2017 the poor in West Java totaled 4,168,440 or 8.71% and were in the 19th rank of 34 provinces in Indonesia. The purpose of this study is to find out how Cooperatives and Micro Small Businesses in West Java Province and How Strategies for Cooperative and Micro Business Development in West Java in facing the industrial era 4.0. The method used in this study is the field study method or literature study using secondary data and data analysis techniques used to use descriptive analysis and SWOT analysis (Strengths, Weakness, Opportunities, Threats). Cooperatives and civil society in West Java Province to survive need to adjust to the industrial era 4.0, namely to focus on improving managerial quality, products and services, using digital technology, increasing cooperation with banks, increasing business capital, building strong networks with the government, improving quality cooperation between cooperatives and small micro-business in ASEAN, improving service quality and the role of the community.
Enhancing Ethical Sensitivity and Decision Making Through Accounting Ethics Education Based on Islam
Authors: Muslichah Muslichah
Published: June 2022

This paper examines the effectivenes of Accounting Ethics Education Based on Islam (AEEBI) by comparing a level of ethical sensitivity and ethical decisionmaking of Muslim accounting students. Using a pre and post survey, this study examine ethical sensitivity and ethical decision-making of Muslim students who have undertaken AEEBI lecture. This study used a survey questionnaire to collect data from five selected universities (three public universities and two private universities). The number of Muslim accounting students who participated in this study was 202 students. There are two significant findings of this study. First, there are differences in ethical sensitivity and ethical decision making before and after Muslim accounting students attend AEEBI lectures. After attending AEEBI lectures, the ethical sensitivity and decision making of Muslim students has increased.
Buy-o-logy of Indians: A Cultural Model of Studying Consumer Behaviour
Authors: Isidore Renu , Arun C. Joe
Published: June 2022

Every product is a cultural product and every buying is a cultural buying and therefore it is a cultural relationship between the consumer and the product. A consumer views the product from a worldview born out of different cultural practices that give birth to habits. The consumer uses a particular language to explain his/her worldview. In the process of relationship between the product and consumer, the consumer gives meaning to the product that he/she buys. Once the product is bought and consumed, the meaning he/she had given provides now a sense of fulfilment, a meaning to the consumer’s life that we call it cognitive resonance. If the product does not give the sense of satisfaction, it will cause a cognitive dissonance that makes the consumer dispose the product. Hence when we study the consumer behaviour, we need to focus on (1)the worldview that is born out of (2)culture, and expressed in (3)a language and the (4)relationship the consumer has with the product in the process of buying. In the entire process, the cultural worldview gives the consumer an agency, what we call human agency, to decide when, where why and what to buy. This paper suggests a way to study consumer behaviour from a cultural perspective.
TÜRKÇE AKADEMİK SÖYLEMDE -sAl BİÇİMBİRİMLİ SÖZCÜKBİRİMLER: DERLEM TEMELLİ SIKLIK VE EŞDİZİM ÇALIŞMASI
Authors: TÜFEKÇİOĞLU Burak
Published: June 2022

Çalışmada akademik Türkçede -sAl biçimbirimiyle kurulan sözcükbirimler araştırma konusu yapılmıştır. Araştırma kapsamına alınan -sAl biçimbirimi, Türkçede üzerinde en çok tartışılan biçimbirimlerdendir. Söz konusu tartışmalar, -sAl biçimbiriminin tek yapılı veya farklı biçimbirimlerle birleşim sonucunda oluşmuş olması, Türkçede bulunup bulunmaması, Latin kökenli dillerden kopyalama yoluyla ortaya çıkmış olması ve kullanım nedenleri üzerine yoğunlaşmaktadır. Bu çalışmada -sAl biçimbiriminin akademik Türkçede kullanıldığı sözcükbirimler, sıklıkları, eşdizimleri ve eşdizim sıklıkları açısından ele alınmıştır. Araştırma verileri, sosyal bilimler alanında 4.458.049 sözcükbirimlik, fen bilimleri alanında 4.121.437 sözcükbirimlik iki derlemden elde edilmiştir. Çalışma kapsamında sosyal bilimler ve fen bilimleri derlemlerinde sıklığı 100’den fazla olan ve -sAl biçimbirimiyle kurulan sosyal bilimler alanında 54, fen bilimleri alanında 35 sözcükbirim sıklıkları ve eşdizimleriyle birlikte belirlenmiştir. Araştırma konusu biçimbirimler sıklıkları ve eşdizim sıklıkları açısından Tek Örneklem Ki-Kare Testi ile karşılaştırılmıştır. Araştırma sonucunda -sAl biçimbirimiyle kurulan sözcükbirimlerin sıklık ortalamaları, eşdizim sayılarının toplamları arasında istatistiksel olarak anlamlı farklılığın bulunduğu, ancak eşdizim sayılarının ortalamaları açısından anlamlı farklılığın bulunmadığı belirlenmiştir.
Upper semicontinuity of pullback attractors for nonclassical diffusion equations with delay
Authors: Qin Yuming , Cai Qitao
Published: June 2022

In this paper, we mainly study the upper semicontinuity of pullback [Formula: see text]-attractors for a nonclassical diffusion equation with delay term [Formula: see text] which contains some hereditary characteristics. Under a critical nonlinearity f, a time-dependent force [Formula: see text] with exponential growth and a delayed force term [Formula: see text], using the asymptotic a priori estimate method, we prove the upper semicontinuity of pullback [Formula: see text]-attractor [Formula: see text] to equation ( 1.1 ) with [Formula: see text].
Homogenization of a class of singular elliptic problems in two-component domains
Authors: Raimondi Federica
Published: June 2022

This paper deals with the homogenization of a quasilinear elliptic problem having a singular lower order term and posed in a two-component domain with an ε-periodic imperfect interface. We prescribe a Dirichlet condition on the exterior boundary, while we assume that the continuous heat flux is proportional to the jump of the solution on the interface via a function of order [Formula: see text].

We prove an homogenization result for [Formula: see text] by means of the periodic unfolding method (see SIAM J. Math. Anal. 40 ( 2008 ) 1585–1620 and The Periodic Unfolding Method ( 2018 ) Springer), adapted to two-component domains in ( J. Math. Sci. 176 ( 2011 ) 891–927).

One of the main tools in the homogenization process is a convergence result for a suitable auxiliary linear problem, associated with the weak limit of the sequence [Formula: see text] of the solutions, as [Formula: see text]. More precisely, our result shows that the gradient of [Formula: see text] behaves like that of the solution of the auxiliary problem, which allows us to pass to the limit in the quasilinear term, and to study the singular term near its singularity, via an accurate a priori estimate.
Fault diagnosis of power transformers using ANN and SMOTE algorithm
Authors: Rao Shaowei , Zou Guoping , Yang Shiyou , Khan Shoaib Ahmed
Published: June 2022

An artificial neural network (ANN) based methodology to diagnose transformer faults is proposed. The synthetic minority over-sampling technique (SMOTE) is used to solve the imbalance in the dataset. The SMOTE is improved by introducing a full cycle of creating synthetic samples from minority class samples for the goals that the over-sampled ratio can be automatically determined and the sample size of each category can be completely consistent. The contents of dissolved gases in transformer oils are treated as the original features. The optimal features combination for ANN is determined by comparing the performances of the ANN when different feature combinations are used. The performances of different activation functions used in the ANN are investigated to give the optimal one. The tested results show the high accuracy (97.92%) of the proposed methodology if the optimum feature combination and activation function are used.
Design and analysis methods of a novel inductor with metamaterial core
Authors: Wang Yingying , Yu Jiahui , Yang Xinyu , Zhang Xu
Published: June 2022

The core of the inductor used in a high-frequency switching power converter usually operates on a local magnetization curve under DC bias, and is easily saturated. In this paper, a novel inductor with a metamaterial core is proposed, in which the magnetic core is replaced by coil units. The coil units can achieve an equivalent permeability comparable to that of the commonly used magnetic powder core material at the working frequency. The design and analysis methods for an inductor with a metamaterial core are described in detail. The proposed inductor is insensitive to the DC component, but can store and transmit the energy of the pulse component. The inductor with a metamaterial core has low loss and is lightweight, which helps increase the power density.
Domain generated algorithms detection applying a combination of a deep feature selection and traditional machine learning models
Authors: Hassaoui Mohamed , Hanini Mohamed , El Kafhali Said
Published: June 2022

The use of command and control (C2) servers in cyberattacks has risen considerably, attackers frequently employ the domain generated algorithm (DGA) technique to conceal their C2 servers. Various machine learning models have been suggested for binary identification of domain names as either benign or DGA domain. The Existing techniques are inefficient and have real-time detection issues and are also very data hypersensitive, therefore, they can be circumvented by the attackers. The main problem this article addresses is how to automatically detect DGA in a way that does not rely solely on reverse engineering, not strongly affected by data size, and allows detection of this DGA in real time. This paper presents DTFS-DGA model that combine neural networks models with traditional machine learning models and maintains its performance even if the data size changes to detect DGA in real time. The model uses 15 linguistics and networks features with the features extracted by long short-term memory and convolutional neural network to classify domain names using random forest and support vector machines. The comprehensive experimental findings confirm the suggested model’s accuracy. To be precise, the model achieve an average accuracy of [Formula: see text] for the classification.
What we achieve on text extractive summarization based on graph?
Authors: Chen Shuang , Ren Tao , Qv Ying , Shi Yang
Published: June 2022

Dealing with the explosive growth of web sources on the Internet requires the use of efficient systems. Automatic text summarization is capable of addressing this issue. Recent years have seen remarkable success in the use of graph theory on text extractive summarization. However, the understanding of why and how they perform so well is still not clear. In this paper, we intend to seek a better understanding of graph models, which can benefit from graph extractive summarization. Additionally, analysis has been performed qualitatively with the graph models in the design of recent graph extractive summarization. Based on the knowledge acquired from the survey, our work could provide more clues for future research on extractive summarization.
Risk evaluation and prevention of China’s investment in countries along the belt and road
Authors: Jiang Jian , Ao Li
Published: June 2022

The Belt and Road Initiative is a major Initiative proposed by Chinese President Xi Jinping in 2013. Research on the risk prevention and control of China’s financial investment in countries along the Belt and Road has become a very hot topic in the world. This research focuses on the risk evaluation methods and prevention and control countermeasures of China’s foreign investment under the Belt and Road Initiative. First, based on the analysis of the existing studies on economic investment evaluation, an intuitionistic fuzzy multi-attribute evaluation method based on entropy method and G1 method is proposed. The essence of the proposed method is to combine the intuitionistic fuzzy set theory with subjective and objective evaluation methods, which improves the disadvantage of the original evaluation method taking too much subjective factors into consideration. This study applies the proposed method to the economic risk evaluation of China’s outward foreign direct investment (OFDI), constructs a 17-indicator economic risk system, and uses this method to rank the importance of the 17 indicators. The more important contribution is that this paper not only achieves improvements at the theoretical level and innovation at the practical level, but also condenses the research conclusions into three pieces of countermeasures and suggestions on China’s investment in countries along the Belt and Road. This research can provide theoretical support for Chinese government to make financial investment decisions in countries along the Belt and Road, and can also help countries along the Belt and Road to actively integrate into the Belt and Road Initiative, and promote the high-quality social and economic development of the countries along the Belt and Road.
Coverage of Clinical Research Data Retrieved from Standardized Structured Medical Information eXchange Storage
Authors: Nakayama Masaharu , Hui Feng , Inoue Ryusuke
Published: June 2022

Clinical researchers hold high expectations for the utility of health data sourced from hospital information systems. In Japan, the standardized structured medical information eXchange version 2 (SS-MIX2) storage is a common resource for obtaining clinical data from different medical databases. However, little is known about the coverage of the data types derived from the SS-MIX2 storage. In this regard, we calculated the proportions of a dataset that could be extracted via SS-MIX2 for various clinical study categories listed in various articles published in the New England Journal of Medicine. In the 95 articles reviewed, the proportions varied from 13.3% ± 13.3% (mean ± SD) for dementia to 61.8% ± 13.7% for diabetes. For cardiology, the proportion of data accessed in a unique format (SEAMAT) increased significantly. We further noted that there was room for improvement in the coverage of SS-MIX2 data.
Cross-Language Terminology Mapping Between ICD-10-CN and SNOMED-CT
Authors: Hong Na , Zhang Yaoyun , Ren Yuankai , Hou Li , Wang Changran , Li Jing , Van Zandt Mui , Liu Lei
Published: June 2022

The objective of this study was to develop a hybrid method and perform an initial evaluation of mappings from the International Statistical Classification of Diseases, 10th revision, Chinese version (ICD-10-CN) to the Systematized Nomenclature of Medicine – Clinical Terms (SNOMED-CT). The methods used to perform mapping include reusing existing mappings, term similarity modeling for automatic mapping and manual review. We evaluated the results of automatic mapping and the coverage of the maps between two terminologies. Experimental results demonstrated that fine-tuning the pre-trained biomedical language model of PubmedBERT obtained the optimal performance, with a precision of 0.859, a recall of 0.773, and a F1 of 0.814. 100% 4-digit code ICD-10-CN terms were mapped to SNOMED-CT terms through exsit code mappings. Around 42.41% randomly selected 6-digit code ICD-10-CN terms had exact matches to corresponding SNOMED-CT terms, and we did not find appropriate SNOMED-CT terms for ICD grouping terms.
Improving Findability of Digital Assets in Research Data Repositories Using the W3C DCAT Vocabulary
Authors: Löbe Matthias , Ulrich Hannes , Beger Christoph , Bender Theresa , Bauer Christian , Sax Ulrich , Ingenerf Josef , Winter Alfred
Published: June 2022

Research data management requires stable, trustworthy repositories to safeguard scientific research results. In this context, rich markup with metadata is crucial for the discoverability and interpretability of the relevant resources. SEEK is a web-based software to manage all important artifacts of a research project, including project structures, involved actors, documents and datasets. SEEK is organized along the ISA model (Investigation – Study – Assay). It offers several machine-readable serializations, including JSON and RDF. In this paper, we extend the power of RDF serialization by leveraging the W3C Data Catalog Vocabulary (DCAT). DCAT was specifically designed to improve interoperability between digital assets on the Web and enables cross-domain markup. By using community-consented gold standard vocabularies and a formal knowledge description language, findability and interoperability according to the FAIR principles are significantly improved.
Translating the Observational Medical Outcomes Partnership – Common Data Model (OMOP-CDM) Electronic Health Records to an OWL Ontology
Authors: Jean-Baptiste Lamy , Mouazer Abdelmalek , Sedki Karima , Tsopra Rosy
Published: June 2022

The heterogeneity of electronic health records model is a major problem: it is necessary to gather data from various models for clinical research, but also for clinical decision support. The Observational Medical Outcomes Partnership – Common Data Model (OMOP-CDM) has emerged as a standard model for structuring health records populated from various other sources. This model is proposed as a relational database schema. However, in the field of decision support, formal ontologies are commonly used. In this paper, we propose a translation of OMOP-CDM into an ontology, and we explore the utility of the semantic web for structuring EHR in a clinical decision support perspective, and the use of the SPARQL language for querying health records. The resulting ontology is available online.
Design of an Ontology-Based Triage System for Patients with Chronic Pain
Authors: Saadi Alexandre , Rogier Alice , Burgun Anita , Tsopra Rosy
Published: June 2022

Objective: Waiting time for a consultation for chronic pain is a widespread health problem. This paper presents the design of an ontology use to assess patients referred to a consultation for chronic pain. Methods: We designed OntoDol, an ontology of pain domain for patient triage based on priority degrees. Terms were extracted from clinical practice guidelines and mapped to SNOMED-CT concepts through the Python module Owlready2. Selected SNOMED-CT concepts, relationships, and the TIME ontology, were implemented in the ontology using Protégé. Decision rules were implemented with SWRL. We evaluated OntoDol on 5 virtual cases. Results: OntoDol contains 762 classes, 92 object properties and 18 SWRL rules to assign patients to 4 categories of priority. OntoDol was able to assert every case and classify them in the right category of priority. Conclusion: Further works will extend OntoDol to other diseases and assess OntoDol with real world data from the hospital.
Comparative Assessment of Completeness of CDISC Controlled Terminology
Authors: Elghafari Anas , Finkelstein Joseph
Published: June 2022

The CDISC Controlled Terminology (CT) defines the terms that may be used to represent clinical trial data in the CDISC standards. Despite its unique importance, there has been limited systematic examination of the coverage of this terminology. In this work, we performed an assessment of the completeness of CDISC CT’s coverage by comparing clinical outcomes for multiple sclerosis (MS) available in CDISC CT with two independent high-fidelity benchmarks: (1) 71 expert-selected outcomes catalogued by the National Institute of Neurological Disorders and Stroke (NINDS), and, (2) 66 common outcomes used in MS trials registered on ClinicalTrials.gov (CTG). We employed a semi-automated search and term-mapping process to identify possible CDISC equivalents to the benchmarks’ measures. We found that 55% of the NINDS outcomes and 52% of the CTG outcomes are absent from the CDISC Terminology, indicating a need for expanding the terminology to take into account other established standards and real-world practice.
Availability of Structured Data Elements in Electronic Health Records for Supporting Patient Recruitment in Clinical Trials
Authors: Vass Albert , Reinecke Ines , Boeker Martin , Prokosch Hans-Ulrich , Gulden Christian
Published: June 2022

Automated identification of eligible patients for clinical trials is an evident secondary use for electronic health records (EHR) data accumulated during routine care. This task requires relevant data elements to be both available in the EHR and in a structured form. This work analyzes these data quality dimensions of EHR data elements corresponding to a selection of frequent eligibility criteria over a total of 436 patient records at 10 university hospitals within the MIRACUM consortium. Data elements from demographics, diagnosis and laboratory findings are typically structured with a completeness of 73 % to 88 % while medication as well as procedures are rather untructured with a completeness of only 44 %. The results can be used to derive suggestions for data quality improvement measures with respect to patient recruitment as well as to serve as a baseline to quantify future developments.
Using Clinical Data Warehouse to Optimize the Vaccination Strategy Against COVID-19: A Use Case in France
Authors: Grosjean Julien , Pressat-Laffouilhère Thibaut , Ndangang Marie , Leroy Jean-Philippe , Darmoni Stéfan J.
Published: June 2022

Clinical Data Warehouses (CDW) are gold mines and may be useful to manage the COVID-19 outbreak. This article details the use of CDW in order to retrieve patients for vaccination purposes. A list of 34 diseases (or conditions) was published by French Health Authorities to target individuals at a high risk of developing a severe form of COVID. Using a multilevel search engine, 23 queries were built based on structured or unstructured data using natural language processing features. The Diagnosis Related Group coding system was used alone in three queries (13.0%), coupled with unstructured data in four queries (17.4%), and unstructured data were used alone in 16 queries (69.6%). Eleven diseases (conditions) were too broad to be translated into queries. Finally, 6,006 unique re-identified patients were retrieved. This use case demonstrates the usefulness of the Rouen University Hospital CDW in retrieving patients for other purposes than translational research.