bluuebunny/crossref_metadata_2025 huggingface dataset:
STRATEGI GURU DALAM PENGELOLAAN KELAS YANG EFEKTIF UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA
Authors: Habbah Eka Sumbulatim Miatu , Husna Elvira Nathalia
Published: April 2024

This study aims to describe the teacher's strategies in the classroom that are effective in increasing student motivation. This study used a qualitative phenomenological approach with the research subject being a class III A teacher at SD Negeri No. 85/VII Semaran as much as one person. Data from this study were obtained through observation and interviews with class teachers and analyzed by classifying data, reducing data, presenting and drawing conclusions. The results showed that effective classroom management strategies implemented by teachers in increasing student learning motivation were reflected in optimizing effective classroom management, the desire and desire to succeed, the encouragement and need for learning, the hopes and aspirations for the future, the rewards for learning, there are interesting activities in learning, and there is a conducive learning environment. The research concludes that student learning motivation can be increased by the teacher's strategy in effective classroom management.
Analisis Kemampuan Kognitif Siswa dan Hasil Belajar Fisika Kelas XI SMA Islam Al-Falah Jambi
Authors: Yanti Nurhikma , Putri Amanda , Febriana Nadilla
Published: April 2024

This study aims to analyze cognitive abilities and physics learning outcomes at Al-Falah Islamic High School in Jambi City. The method used is quantitative method. The type of research used is This type of research is field research, namely research conducted by going directly to the field to examine cognitive abilities and comparison of learning outcomes. The subjects and samples in this study were students of class XI IPA 2 at Al Falah Islamic High School, Jambi City, totaling 30 students. The research instrument used in this study was a test question with 50 questions. The sampling technique used in this study was purposive sampling technique. The data analysis used in this study was miles and huberman with research procedures, namely analyzing literature, determining instruments, collecting data, analyzing data, and concluding the results of research data. The results of this study indicate that cognitive abilities at Al-Falah Islamic High School in Jambi City on newton's law material still need to be improved. The results of the independent sample T test analysis show that sig. (2-tailed) 0.530> 0.05. This means that there is no significant difference between learning outcomes in male and female students. This is because cognitive abilities play an important role in helping students to know learning knowledge and physics learning outcomes on newton's law material.
Penerapan Model Pembelajaran Window Shopping Untuk Meningkatkan Minat Belajar Fisika Siswa di SMAN 1 Pujut Lombok Tengah
Authors: Santika Heppy Dwi
Published: April 2024

This study aims to identify the application of window shopping learning model in increasing students' interest in learning at SMAN 1 Pujut. Based on the results of interviews with one of the physics teachers, it turns out that at SMAN 1 Pujut the interest in learning physics is still low. So that efforts are needed to increase students' interest in learning by applying the window shopping learning model. This model is one type of cooperative learning model that is a learning model that forms students into small groups and prioritizes the activeness of each individual in the group.
Panorama económico y social en México. Perspectiva de Aguascalientes
Authors:   Universidad Autónoma de Aguascalientes, Macías Acosta Rubén , Díaz Flores Manuel ,   Universidad Autónoma de Aguascalientes, Toraya Pedroza Roussell Li-erth ,   Universidad Autónoma de Aguascalientes, González Acolt Roberto ,   Universidad Autónoma de Aguascalientes, Alvarado Peña Lisandro José ,   Professional School of Managment, Universidad Señor de Sipán (USS)- Campus Pimentel, Dávila Peña Ana Cristina ,   Universidad Cuauhtémoc, campus Aguascalientes
Published: April 2024

En la actualidad, las condiciones económicas y sociales en el mundo han sufrido grandes afectaciones, estableciéndose nuevos retos originados por el deterioro físico, emocional, social y económico generados por la emergencia sanitaria mundial de la COVID-19, siendo relevante mantenerse enfocados en comprender a los ciudadanos en materia de desarrollo social y económico. Esto con la finalidad de investigar y proponer soluciones orientadas a la reducción de la desigualdad en la población, atendiendo la polarización generada por el modelo económico actual que demanda la incorporación de políticas públicas orientadas a la reconstrucción del tejido social. La presente obra comienza planteando el contexto de la situación de pobreza a nivel nacional y en Aguascalientes, posteriormente, se presenta la evolución de las carencias sociales, estableciendo una explicación con mayor profundidad del tema. Asimismo, se establece un estudio sobre el sector exportador en relación con el empleo en Aguascalientes, derivado de su relevancia por ser la actividad económica de arrastre para el crecimiento económico en el estado, utilizando el Modelo de Base Exportadora con la finalidad de medir las variaciones del sector en el empleo local. Enseguida, se establece un estudio del sector de la construcción, considerando la obra pública y privada como un detonador del crecimiento económico de las regiones, analizando sus tendencias mediante la utilización de un modelo econométrico de mínimos cuadrados ordinarios, mostrando la relevancia de pronóstico del sector de la construcción en el desarrollo económico regional. Finalmente, se concluye estudiando la percepción de la corrupción en México, mediante un estudio longitudinal de sus variables más importantes, siendo interesante su estudio por su relación con la confianza ciudadana en las instituciones y con la inversión extranjera directa. La presente obra es producto del proyecto de investigación “PIEA22-15 Valoración del empleo exportador en el crecimiento económico de Aguascalientes desde la perspectiva económica, tributaria y administrativa” autorizado por la Universidad Autónoma de Aguascalientes. Se agradece el valioso apoyo de la institución.
Synthétiser des diamants au laboratoire comme ils se forment dans la nature
Authors:   Institut de Minéralogie de Physique des Matériaux et de Cosmochimie, CNRS, Sorbonne Université, MNHN, 4,place Jussieu, 75005 Paris., Bureau Hélène
Published: April 2024

High pressure and high temperature experiments performed in the laboratory are used to understand how diamonds are formed in the deep Earth. To achieve this purpose, we grow diamonds similar to natural diamonds, having trapped the same kind of impurities than observed in natural ones. We show that natural diamonds of different morphologies: monocrystalline, fibrous, coated, polycrystalline, all grow in the same kind of fluids in the Earth’s lithosphere.
Implementasi Karakter Khalifah Dalam Al-Qur’an Sebagai Dasar Tujuan Pendidikan Islam
Authors: Mubarok Frenky
Published: April 2024

Salah satu landasan pendidikan yang dapat diambil dari ajaran Islam adalah berkaitan dengan penggunaan konsep khalifah. Pada umumnya konsep khalifah yang terdapat di dalam al-Qur’an biasa dibahas berkaitan dengan diskursus tentang kepemimpinan, meski demikian karena salah satu tujuan pendidikan adalah guna mencetak generasi yang kelak akan melanjutkan estafeta kepemimpinan, maka pembahasan tentang konsep khalifah juga layak diperbincangkan pada ranah pendidikan. Artikel ini bertujuan untuk menguraikan implementasi karakter khalifah dalam al-Qur’an sebagai dasar tujuan pendidikan Islam. Penelitian ini merupakan penelitian kualitatif yang mendasarkan pada studi pustaka dan metode tafsir tematik al-Qur’an (tafsir maudlu’i). Adapun hasil dari penelitian ini adalah beberapa karakter perserta didik yang menjadi tujuan pendidikan Islam adalah: 1) memiliki sikap rendah hati; 2) bertanggungjawab terhadap ilmu yang dimilikinya; 3) dapat meneladani Nama-nama dan Sifat-sifat Allah; 4) memiliki ketaatan kepada Allah ; 5) menjadi pribadi yang profesional sesuai dengan bidang keahliannya; 6) memiliki keseimbangan antara iman dan ilmu; 7) menjadi agen perubahan guna membentuk tatanan masyarakat yang lebih baik; 8) senantiasa berlaku adil dan tidak mengikuti hawa nafsu; dan 9) senantiasa mengharapkan ridha dari Allah
NAVIGATING BILINGUALISM EXPLORATION OF ENGLISH LANGUAGE LEARNING THROUGH SURVEY DATA ANALYSIS
Authors: Samigolla Nurzharkyn , ABDRAIMOVA Banu , ABDIROVA Aruzhan
Published: April 2024

This paper offers a comprehensive exploration of English language learning, blending theoretical frameworks with survey data analysis. Spanning diverse age groups and backgrounds, the study unravels the intricate dynamics of bilingualism, emphasizing the interplay between language, culture, and identity. Demographic insights reveal a predominantly female and bilingual cohort, while language dominance perceptions, motivations for bilingualism, and the impact on life underscore the complexity of language acquisition. Challenges in language skills, cultural context, and motivation provide nuanced perspectives. The study contributes a valuable resource for educators and policymakers, fostering a deeper understanding of bilingualism's diverse dimensions in West Kazakhstan.
DEVELOPING THE AESTHETIC CULTURE OF THE FUTURE SOCIAL PEDAGOGUES THROUGH THE ART OF VISUAL REPRESENTATION
Authors: IMANBAKIEV Ernat
Published: April 2024

The evolution of pedagogical methods necessitates a shift toward cultivating an aesthetic culture in social pedagogues, particularly through the art of visual representation. This article explores the imperative role of visual arts in shaping future social pedagogical practices, emphasizing the development of an aesthetic sensibility within educators. It delves into the conceptual framework, examining the correlation between visual literacy, pedagogy, and societal transformations. Embracing the multifaceted dimensions of visual representation, this work elucidates the significance of integrating art forms into pedagogical strategies. The article aims to foster a comprehensive understanding of how cultivating an aesthetic culture among social pedagogues through visual artistry can augment their efficacy in nurturing dynamic, socially conscious individuals. This article navigates through established theoretical frameworks, drawing on extensive research to underscore the pivotal role of visual representation in shaping the future of social pedagogy. It strives to unravel the intricate relationship between visual arts and pedagogical methods, emphasizing the transformative impact of infusing educational approaches with artistic elements. Ultimately, this integration aims to nurture socially conscious, critically reflective individuals capable of navigating the complexities of the contemporary world.
БІЛІМ БЕРУДЕ БОЛАШАҚ ПЕДАГОГТЫҢ ЦИФРЛЫҚ ҚҰЗЫРЕТТІЛІГІ
Authors: Ермекова Мөлдір , Шолпанкулова Гульнар
Published: April 2024

Мақалада білім беру жағдайында болашақ педагогтың цифрлық құзыреттілігінің психологиялық құрылымы қарастырылады. Цифрлық құзыреттілікті түсіндірудегі зерттеушілердің ұстанымдарына шолу. Кәсіби басымдықтарды ескере отырып, цифрлық құзіреттілік компоненттерінің оңтайлы тізімі анықталды: қауіпсіздік, жауапкершілік, ақпаратпен жұмыс. Зерттеудің мақсаты – цифрлық құзіреттіліктің құрылымдық компоненттерінің даму деңгейін зерттеу. Зерттеу объектісі – ақпаратпен жұмыс істей білу. Зерттеу Қ.Жұбанов атындығы Жоғарғы колледж. Зерттеу әдістері жалпы педагогтар мен ата-аналар, жасөспірімдер арасындағы цифрлық құзреттілікте ғаламторды пайдалану көрсеткіштері. Ақпаратпен жұмыс істеу қабілеті болашақ педагогтың білім беруде цифрлық құзыреттілігінің базалық құрылымдық құрамдас бөлігі болып табылады. Оның қалыптасу деңгейі зейінді дамыту көрсеткіштерінің (концентрация, ауыспалылық, тұрақтылық, ойлау икемділігі, ақпаратты талдау және өңдеу қабілеті) жиынтығымен анықталады деген қорытындыға келеді.
Білім берудегі метакогнитивтік тұжырымдарға сипаттама
Authors: Байтасова Гүлжан
Published: April 2024

Метакогнитивті тұжырымдар қазіргі білім беруде маңызды рөл атқарады, әсіресе танымдық процестерді дамыту және білім берудегі оқытуды жетілдіру жағдайында маңызды.Бұл мақалада білім берудегі метакогнитивтік тұжырымдарға қатысты теорияларды, зерттеулерді және тәжірибелерді қарастырамыз және білім беру процесінің нәтижесін анықтайды. Бұл білім беру қызметінде метатанымдық аспектілерді ескере отырып, құрылымдауға мүмкіндік береді, және білімді тереңірек және тиімді меңгеруге, сыни ойлауды дамытуға және оқу әрекетін өзін-өзі реттеуге ықпал етеді.
Қазіргі заман жеткіншектерінің өзіндік бағалау ерекшеліктері
Authors: Алматай Қуаныш , Умирзакова Гулзар
Published: April 2024

Қазіргі қоғамдағы әлеуметтік-экономикалық өзгерістер келешек ұрпақтың тұлғалық қалыптасу процесі мен олардың әлеуметтік-психологиялық бейімделу деңгейіне айтарлықпай ықпал етуде. Бұл әсіресе ішкі қарама-қайшылықтармен сипатталатын жеткіншектік кезеңде орын алады.Жеткіншектік кезең өзіндік сана мен мінез-құлықтың қалыптасуы, өзіндік бағалау мен өзіндік қатынастың дербес, тәуелсіз жүйесінің  өңделуі. Осындай жағдайлар дамудың осы кезеңіндегі өзіндік бағалау мәселесіне кеңінен тоқталуға негіз болды. Сонымен  қатар, түрлі психологиялық және әлеуметтік факторлармен қатар, өзіндік бағалау баланың әлеуметтенуі мен қоғамдық мінез-құлық нормаларының қалыпты жүзеге асуына зор ықпал етеді.Мақалада қазіргі заман жеткіншектерінің тұлғалық дамуындағы психологиялық ерекшеліктеріне, «өзіндік бағалау» түсінігінің мәні, құрылымы мен қызметтеріне теориялық талдау жасалып, сол теориялық білімнің негізінде өзіндік бағалаудың құрылымдық үлгісі құрылды және оқыту мен тәрбиелеудің қазіргі жағдайындағы жеткіншектердің өзіндік бағалау ерекшеліктері анықталды.  Соның негізінде 7-10 сынып оқушыларының өзіндік бағалау ерекшеліктері қарастырылды. Сонымен қатар, бұл ғылыми жұмыстың отбасында жеткіншектердің өзара қатынасы мен өзара түсіністігін жақсарту мақсатында және жеткіншектермен жұмыс істейтін педагогикалық кадрларды даярлау ісінде қолданылу қажеттілігі зор болып табылады.
The impact of the metaverse on consumer behaviour and marketing strategies in tourism
Authors: Prados-Castillo Juan F. , Torrecilla-García Juan Antonio , Guaita-Fernandez Pilar , De Castro-Pardo Mónica
Published: April 2024

Objective and interest of the work: This paper focuses on analysing the existing literature on the impact of Metaverse technology on consumer behaviour, adoption and destination marketing. From a tourism perspective, Metaverse allows the fusion of physical and virtual realities, offering immersive experiences and the possibility of transforming the relationship between the destination and end user.
Design of the methodology: A bibliometric analysis was performed using the Bibliometrix software, an R tool for the bibliometric study of scientific data sources. The database selected was Web of Science, and peer-reviewed articles in English published up to 10 October 2023 were analysed. A Boolean approach was used with the keywords "framework tourism Metaverse" and "framework tourist Metaverse".
Results: Trends in the scientific production of subject matter analysed from 2011 to 2023 stand out, with a total of 72 articles identified according to the criteria discussed. An annual growth rate of 34.48% was observed during the production of the documents. It highlights how technology associated with the metaverse influences the decisions and experiences of tourism service users.
Its value in terms of practical implications: This study examines the potential of Metaverse for ex situ immersive tourism and in situ experiences. It emphasizes the need for research on ethical behaviour, regulatory frameworks, and strategies for Metaverse integration in the tourism industry. Although it is not the first study on Metaverse, it is the only one known to focus on theoretical frameworks.
Environmental products and sustainability awards
Authors: García-Sánchez Isabel-María , Piñeiro-Chousa Juan Ramón , Aibar-Guzmán Cristina , Aibar-Guzmán Beatriz
Published: April 2024

Objective: To analyse the impact of companies' commitment to the production and distribution of environmental products on the winning of sustainability awards, and whether it is affected by the effects of the crisis and uncertainty caused by the Covid-19 pandemic and the Russian invasion of Ukraine.Methodology: Based on a sample of 718 companies from 35 countries and data from 2013 to 2022, a logistic regression for panel data was used.Results: The results show that the production and distribution of environmental products is positively associated with winning sustainability awards, and this effect is slightly stronger in the uncertainty period that characterises the years 2020 to 2022. Sustainable packaging initiatives and end-of-life recovery and recycling initiatives are the attributes with the greatest weight in external recognition, although the latter starts to become relevant in the uncertainty period. Furthermore, both producing and distributing sustainable products and winning sustainability awards have a positive and significant impact on customer satisfaction.Limitations: The sample consists of the world’s largest companies, so the results might differ if smaller companies were analysed. The dependent variable is binary, which did not allow us to examine in detail the impact of environmental products on companies’ external recognition.Practical implications: The results may encourage managers to produce and distribute sustainable products to increase external recognition and customer satisfaction and provide guidance on the attributes to be developed. They could guide policy-makers in making companies more resilient to crises by encouraging them to innovate environmentally in their products.
Animal sauve enfant abandonné : quand la topique animalière vient éclairer autrement les topoï répertoriés (à partir du Shâhnâmeh de Ferdousi)
Authors: Dubost Jean-Pierre
Published: April 2024

The article continues with the post entitled "Poetic memory or the use of topos "ENFANT ABANDONNE" in Milan Kundera’s The unbearable lightness of being " published on the SATOR research notebook by Madeleine Jeay, in which she shows that Kundera works a topical situation corresponding to a number of topoi listed in SATORBASE as ADOPTER ENFANT TROUVE, DESOBEIR ORDRE DE TROUVER ENFANT, ENLEVER SECRETEMENT ENFANT etc. The article continues this reflection and focusses on the animal topic in the Shah Nameh of Ferdousi, reflecting on the role of the Simorgh (this mythical bird that plays an essential role in Persian culture and that is found in the Manteq-et-their (The dialogue of the birds) of Farid eddine Attar and in the metaphysical and philosophical texts of Avicenna and Sohravardi. In the Shah Nameh the Simorgh rescues Zal, abandoned as a child by his father, King Sam, and raises him until the latter, now an adult, finds his father who grants him the royal filiation. And the child is fed at night by a gazelle. Such topical configurations that could be called ANIMAL SAVES CHILD ABANDONS are very widespread. We question the original scene of a close relationship between human sovereignty and animal sovereignty, the part of sovereignty being equally distributed between man and animal which is here the inseparable adjuvant. The methodological question of topical naming is also addressed.
La représentation topique des « bestes » dans le Pelerin de Lorete de Louis Richeome (1604)
Authors: Marty Frédérique
Published: April 2024

In Le Pelerin de Lorete, written by the Jesuit Louis Richeome (1604), the days of pilgrimage are often punctuated by the encounter of several animals. Wild or domestic beasts, birds, and hunting animals follow the pilgrim and reader in their accomplishment of the physical and spiritual journey. In this article, we will question the meaning of the representation of animals in Le Pelerin de Lorete. Inspired by the Bible, Antiquity, and the medieval bestiary, Richeome develops his own “bestiary” by showing animals with his sensitivity, curiosity, and, above all, a real passion.
La représentation des animaux dans Le Diable amoureux de Jacques Cazotte
Authors: Cebrián Flores Juan Antonio
Published: April 2024

Best known for his Spanish short story Diable amoureux (1772), Jacques Cazotte is listed among the writers of the end of the century as one of the precursors of the French fantastic tale. Cazotte became known for his talent as a storyteller: he published his first book as early as 1741, La Patte du chat (1741), followed in 1742 by a parodic version of The Thousand and One Nights, Les Mille et Une Fadaises. In his major work, animality, mysticism and fantasy are intertwined in this tale. This article looks briefly at the representation of animals in Jacques Cazotte's work, and more specifically in Le Diable amoureux.
Un singe compatissant
Authors: Menin Marco
Published: April 2024

Through a cross-reading of the fictional epistle Lettre d’un singe aux êtres de son espèce, and the utopia La Découverte australe par un homme volant, this article aims to highlight the originality of the conception of animality expressed by the polygraph Nicolas-Edme Restif de La Bretonne (1734-1806). Indeed, Restif is able in these writings, thanks to an imaginative representation of animality, to go beyond the simple criticism of anthropocentrism, to insert animal literature at the centre of the process of ‘invention’ of the rights of man and woman typical of the Enlightenment. Restif’s pamphlet is indeed focused – from a philosophical point of view – on the imaginative and projective dimension of compassion, mobilised by fiction, which allows the subject to go beyond his usual picture of life, until authentically sympathising with all possible forms of otherness, embodied by the non-human animal – the monkey – and by the half-breed, i.e. the man-beast.
Quand le cheval paraît : représentations et fonctions diégétiques de la figure équine dans le roman contemporain français (1933-2016)
Authors: de Camproger Diane
Published: April 2024

Horses are the vectors of multiple representations related to their specific abilities and properties. These have endowed it, especially in the mythical narrative, with an image in turn positive (magic horses, divine, solar) or negative (horses of nightmare, infernal, psychopumps).

By examining a varied corpus of French short stories and novels published between 1933 and 2016 (Paul Morand, Jean Giono, Claude Simon, Richard Millet, Laurent Mauvignier), we will focus on the peculiarities of equine figures in contemporary french fiction, their functions in the story and their places in the construction of the narrative.

The appearance of the horse in the novel also allows us to question the notion of scene and to define the «equestrian scene», returning to the definitions and the means of analysis given by Gérard Genette (Figures III), or Stéphane Lojkine (La Scène de roman). This theoretical journey allows us to question the existence of a horse-type, in the Balzacian sense, an autonomous and characteristic figure that can be found in the various stories through the equestrian scenes. The analysis of these scenes, which presuppose an interaction between the horse and the other characters, will lead us to answer the question of how the presence of horses allows the dramatization of the story.
Daudzdzīvokļu dzīvojamo māju ilgtspējīgas pārvaldīšanas sistēma
Authors: Amoliņa Iveta
Published: April 2024

Zinātniskajā monogrāfijā ir piedāvāta integrēta daudzdzīvokļu dzīvojamo māju pārvaldīšanas procesu informatīvi analītiskās sistēmpieejas metodoloģija dzīvojamo māju pārvaldīšanas pakalpojumu mērķtiecīgai īstenošanai un mājokļu ilgtspējīgai saglabāšanai. Monogrāfijas izstrādē gūtie secinājumi papildina daudzdzīvokļu dzīvojamo māju pārvaldīšanas teorētisko un zinātnisko zināšanu bāzi, kas nepieciešama nozares efektivizēšanai. Monogrāfijā sniegtie rezultāti ir praktiski izmantojami valsts un pašvaldību iestādēs mājokļu politikas, tostarp daudzdzīvokļu dzīvojamo māju pārvaldīšanas politikas, vadlīniju izstrādē un ieteikumu piemērošanā, daudzdzīvokļu dzīvojamo māju pārvaldīšanas sistēmas darbības novērtēšanā un attīstības plānošanā, kā arī citu nozares ekspertu un interešu grupu pārstāvju, tostarp asociāciju, sadarbības organizēšanā daudzdzīvokļu dzīvojamo māju pārvaldīšanas nozarē.
Simulation and Analysis of the Code Domain NOMA with UFMC for 5G Wireless Networks
Authors: Jolania Smita , Sindal Ravi , Saxena Ankit
Published: April 2024

In fifth generation (5G) wireless networks, radio access techniques and multi-carrier waveforms play a vital role in meeting the diversified demands of ultra-low latency, massive connectivity, and higher throughput. Multi-access schemes used conventionally in 4G system was Orthogonal Multiple Access (OMA) technique. The OMA techniques suffer from inefficient spectrum utilization, high latency, and supports a limited number of users. Next-generation networks, Non-Orthogonal Multiple Access (NOMA), has a great potential, in which multiple users are simultaneously served using the same time, frequency, or code resource increasing the throughput. Code domain-NOMA (CD-NOMA) is the key technique implemented in the system design where multiple users are distinguished based on unique user-specific spreading codes. The NOMA system could significantly benefit from Universal Filtered Multi-Carrier (UFMC) modulation waveform in terms of flexibility, spectral efficiency, compatibility with Multiple Input Multiple Output (MIMO) technique, and relaxed synchronization requirements. The novel integrated system proposed in the paper is CD-NOMA-UFMC with convolutional codes. The major outcome of the paper is that the combination of UFMC air interface modulation technique with CD-NOMA access method can be the most effective way to meet the growing demands of 5G.
Graphs whose vertex set can be partitioned into a total dominating set and an independent dominating set
Authors: Haynes Teresa W. , Henning Michael A.
Published: April 2024

A graph \(G\) whose vertex set can be partitioned into a total dominating set and an independent dominating set is called a TI-graph. We give constructions that yield infinite families of graphs that are TI-graphs, as well as constructions that yield infinite families of graphs that are not TI-graphs. We study regular graphs that are TI-graphs. Among other results, we prove that all toroidal graphs are TI-graphs.
Deep-sea bacteriophages facilitate host utilization of polysaccharides
Authors: Wang Chong , Zheng Rikuan , Zhang Tianhang , Sun Chaomin
Published: April 2024

Bacteriophages are ubiquitous in nature and play key roles in various ecosystems. They impact microbial community composition and reprogram the metabolism of diverse host cells using auxiliary metabolic genes (AMGs). Whether bacteriophages can reprogram host polysaccharide metabolism through AMGs remains unclear, however. Here, we found for the first time that polysaccharides induce the production of different types of bacteriophages in two deep-sea
Lentisphaerae
strains (WC36 and zth2). Through physiological assays, genomic analysis and transcriptomics assays, we found that these bacteriophages might assist their hosts in metabolizing polysaccharides through AMGs. Moreover, the isolated bacteriophages could effectively assist a marine bacterium (
Pseudomonas stutzeri
273) in metabolizing and utilizing polysaccharide to promote its growth. These findings shed light on the importance of atypical and poorly understood virus-host interactions and bring us closer to understanding the potential role of deep-sea viruses in marine ecosystems.
Psychological stress disturbs bone metabolism via miR-335-3p/Fos signaling in osteoclast
Authors: Zhang Jiayao , Li Juan , Huang Jiehong , Xiang Xuerui , Li Ruoyu , Zhai Yun , Lin Shuxian , Liu Weicai
Published: April 2024

It has been well-validated that chronic psychological stress leads to bone loss, but the underlying mechanism remains unclarified. In this study, we established and analyzed the chronic unpredictable mild stress (CUMS) mice to investigate the miRNA-related pathogenic mechanism involved in psychological stress-induced osteoporosis. Our result found that these CUMS mice exhibited osteoporosis phenotype that mainly attributed to the abnormal activities of osteoclasts. Subsequently, miRNA sequencing and other analysis showed that miR-335-3p, which is normally highly expressed in the brain, was significantly down-regulated in the nucleus ambiguous (NAC), serum, and bone of the CUMS mice. Additionally,
in vitro
studies detected that miR-335-3p is important for osteoclast differentiation, with its direct targeting site in Fos. Further studies demonstrated Fos was upregulated in CUMS osteoclast, and the inhibition of Fos suppressed the accelerated osteoclastic differentiation, as well as the expression of osteoclastic genes, such as Nfatc1, Acp5, Mmp9, in miR-335-3p restrained osteoclasts. In conclusion, this work indicated that psychological stress may down-regulate the miR-335-3p expression, which resulted in the accumulation of Fos and the up-regulation of NFACT1 signaling pathway in osteoclasts, leading to its accelerated differentiation and abnormal activity. These results decipher a previously unrecognized paradigm that miRNA can act as a link between psychological stress and bone metabolism.miR-335-3p, which targets FOS and inhibits its activation of NFATC1 signaling, is an important regulator for osteoclast function and responsible for the psychological stress induced osteoporosis
A septo-hypothalamic-medullary circuit directs stress-induced analgesia
Authors: Shah Devanshi Piyush , Sharma Pallavi Raj , Agarwal Rachit , Barik Arnab
Published: April 2024

Stress is a potent modulator of pain. Specifically, acute stress due to physical restraint induces stress-induced analgesia (SIA). However, where and how acute stress and pain pathways interface in the brain are poorly understood. Here, we describe how the dorsal lateral septum (dLS), a forebrain limbic nucleus, facilitates SIA through its downstream targets in the lateral hypothalamic area (LHA) of mice. Taking advantage of transsynaptic viral-genetic, optogenetic, and chemogenetic techniques, we show that the dLS→LHA circuitry is sufficient to drive analgesia and is required for SIA. Further, our results reveal that the dLS→LHA pathway is opioid-dependent and modulates pain through the pro-nociceptive neurons in the rostral ventromedial medulla (RVM). Remarkably, we found that the inhibitory dLS neurons are recruited specifically when the mice struggle to escape under restraint and, in turn, inhibit excitatory LHA neurons. As a result, the RVM neurons downstream of LHA are disengaged, thus suppressing nociception. Together, we delineate a poly-synaptic pathway that can transform escape behavior in mice under restraint to acute stress into analgesia.
Addressing cyberbullying in Urdu tweets: a comprehensive dataset and detection system
Authors: Adeeba Farah , Yousuf Muhammad Irfan , Anwer Izza , Tariq Sardar Umair , Ashfaq Abdullah , Naqeeb Malik
Published: April 2024

The prevalence of cyberbullying has reached an alarming rate, affecting approximately 54% of teenagers who experience various forms of cyberbullying, including offensive hate speech, threats, and racism. This research introduces a comprehensive dataset and system for cyberbullying detection in Urdu tweets, leveraging a spectrum of machine learning approaches including traditional models and advanced deep learning techniques. The objectives of this study are threefold. Firstly, a dataset consisting of 12,500 annotated tweets in Urdu is created, and it is made publicly available to the research community. Secondly, annotation guidelines for Urdu text with appropriate labels for cyberbullying detection are developed. Finally, a series of experiments is conducted to assess the performance of machine learning and deep learning techniques in detecting cyberbullying. The results indicate that fastText deep learning models outperform other models in cyberbullying detection. This study demonstrates its efficacy in effectively detecting and classifying cyberbullying incidents in Urdu tweets, contributing to the broader effort of creating a safer digital environment.
Adapting multilingual vision language transformers for low-resource Urdu optical character recognition (OCR)
Authors: Cheema Musa Dildar Ahmed , Shaiq Mohammad Daniyal , Mirza Farhaan , Kamal Ali , Naeem M. Asif
Published: April 2024

In the realm of digitizing written content, the challenges posed by low-resource languages are noteworthy. These languages, often lacking in comprehensive linguistic resources, require specialized attention to develop robust systems for accurate optical character recognition (OCR). This article addresses the significance of focusing on such languages and introduces ViLanOCR, an innovative bilingual OCR system tailored for Urdu and English. Unlike existing systems, which struggle with the intricacies of low-resource languages, ViLanOCR leverages advanced multilingual transformer-based language models to achieve superior performances. The proposed approach is evaluated using the character error rate (CER) metric and achieves state-of-the-art results on the Urdu UHWR dataset, with a CER of 1.1%. The experimental results demonstrate the effectiveness of the proposed approach, surpassing state of the-art baselines in Urdu handwriting digitization.
Demand-side load forecasting in smart grids using machine learning techniques
Authors: Masood Muhammad Yasir , Aurangzeb Sana , Aleem Muhammad , Chilwan Ameen , Awais Muhammad
Published: April 2024

Electrical load forecasting remains an ongoing challenge due to various factors, such as temperature and weather, which change day by day. In this age of Big Data, efficient handling of data and obtaining valuable information from raw data is crucial. Through the use of IoT devices and smart meters, we can capture data efficiently, whereas traditional methods may struggle with data management. The proposed solution consists of two levels for forecasting. The selected subsets of data are first fed into the “Daily Consumption Electrical Networks” (DCEN) network, which provides valid input to the “Intra Load Forecasting Networks” (ILFN) network. To address overfitting issues, we use classic or conventional neural networks. This research employs a three-tier architecture, which includes the cloud layer, fog layer, and edge servers. The classical state-of-the-art prediction schemes usually employ a two-tier architecture with classical models, which can result in low learning precision and overfitting issues. The proposed approach uses more weather features that were not previously utilized to predict the load. In this study, numerous experiments were conducted and found that support vector regression outperformed other methods. The results obtained were 5.055 for mean absolute percentage error (MAPE), 0.69 for root mean square error (RMSE), 0.37 for normalized mean square error (NRMSE), 0.0072 for mean squared logarithmic error (MSLE), and 0.86 for R2 score values. The experimental findings demonstrate the effectiveness of the proposed method.
A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme
Authors: Qayoom Abdul , Khuhro Mansoor Ahmed , Kumar Kamlesh , Waqas Muhammad , Saeed Umair , ur Rehman Shafiq , Wu Yadong , Wang Song
Published: April 2024

Online transactions are still the backbone of the financial industry worldwide today. Millions of consumers use credit cards for their daily transactions, which has led to an exponential rise in credit card fraud. Over time, many variations and schemes of fraudulent transactions have been reported. Nevertheless, it remains a difficult task to detect credit card fraud in real-time. It can be assumed that each person has a unique transaction pattern that may change over time. The work in this article aims to (1) understand how deep reinforcement learning can play an important role in detecting credit card fraud with changing human patterns, and (2) develop a solution architecture for real-time fraud detection. Our proposed model utilizes the Deep Q network for real-time detection. The Kaggle dataset available online was used to train and test the model. As a result, a validation performance of 97.10% was achieved with the proposed deep learning component. In addition, the reinforcement learning component has a learning rate of 80%. The proposed model was able to learn patterns autonomously based on previous events. It adapts to the pattern changes over time and can take them into account without further manual training.
Analysis on the impact of dynamic innovation investment strategy of green supply chain enabled by blockchain
Authors: Guo Fangfang , Wu Zhuang , Wang Yuanyuan , Liu Chenjun
Published: April 2024

Background

The emergence of the green supply chain represents a natural evolution from the traditional model. However, this transition has created trust concerns in operational processes. Fortunately, blockchain technology offers a promising solution to address this issue and help businesses overcome related obstacles. As artificial intelligence and blockchain continue to advance, enterprises are increasingly exploring opportunities for green innovation investments, although the optimal timing for successful product innovation can be difficult to predict.

Methods

The effects of successful innovation on eco-friendly supply chains are analyzed through various factors such as optimal investment strategy, level of blockchain technology, and overall system profit. Differential game theory is used to determine the most effective approach across three alliance modes: horizontal cooperative, non-cooperative, and vertical cooperative. Additionally, the impact of innovation uncertainty on member strategies and alliance selection is thoroughly examined.

Results

According to the results, predicting the likelihood of innovation realization can influence decision makers to prioritize current profits. Both horizontal and vertical cooperative alliance models can lead to Pareto improvements in total system profit, both before and after innovation success. However, the vertical cooperative alliance model proves to be more effective, especially at higher realization rates. Green suppliers stand to benefit from the vertical cooperative alliance model, as it can enhance their innovative investment strategy, while platform cooperation does not significantly affect their strategy. Platforms, on the other hand, can benefit from the vertical cooperative alliance model, as it can promote their innovative investment strategy and level of blockchain technology.
Exploring the Diagnostic and Therapeutic Significance of Thyroid Hormones in Female Infertility: A Comprehensive Narrative Review
Authors: . Khushi , Sharma Abhishek , Tiwari Vikas , Tiwari Jaishree , Afzal Mohd
Published: April 2024

Thyroid Hormones (TH) are essential for the healthy functioning of the female reproductive system because they regulate ovarian, uterine, and placental tissue metabolism and development. Therefore, hypo-and hyperthyroidism may result in infertility in women. Previous studies have been conducted on women with thyroid dysfunction, including prospective and retrospective studies, in-vitro and in-vivo tests for hypo-and hyperthyroidism using ovarian, uterine, and placental cell culture, and experimental animal models. In order to better understand the physiology of the reproductive system and to develop more effective therapy methods for reproductive dysfunctions that result from thyroid dysfunctions, these studies sought to shed light on the mechanisms by which TH affect reproduction. This comprehensive narrative review investigates the diagnostic and therapeutic implications of TH in female infertility. By scrutinising existing literature, the study aims to elucidate the intricate relationship between thyroid function and reproductive health in women. Such insights are crucial for enhancing diagnostic accuracy and formulating effective therapeutic interventions to address thyroid-related factors influencing female infertility
Metagenomic Study of Bacteria Diversity and Functional Profile in Bulk and Rhizosphere Soils of Fusarium-Wilt Infected Plantain (Musa paradisiaca)
Authors: C.C. Nwankwo, , B.A. Ezeonuegbu, , E.C. Oranusi,
Published: April 2024

Soil contains a great diversity of microorganisms, including bacteria which are known to be drivers of soil ecosystem functions. This study was aimed at investigating the bacterial communities in bulk and rhizosphere soil of Fusarium wilt-infected plantain (Musa paradisiaca). Physicochemical analysis revealed that electrical conductivity (312 µS/cm), cation exchange capacity (15.62 meq/100g), phosphate (0.16 mg/kg), nitrogen (1.53 mg/kg), moisture (19.45 mg/kg), potassium (1.39 mg/kg), magnesium (0.61 mg/kg), clay (60 %), and silt (35%) were higher in bulk soil than rhizosphere soil. The 16S rRNA metagenomic sequences quantified a total of 89341 bacterial taxonomic units from bulk soil which consist of 10 phyla, 13 classes, 16 orders, 18 families, 21 genera, and 19 species. A total of 88034 bacterial taxonomic units which comprised of 9 phyla, 13 classes, 23 orders, 22 families, 26 genera, and 25 species, were found in rhizosphere soil. The most abundant phyla in bulk soil are Actinobacteria (31%), Proteobacteria (26%), and Gemmatimonadetes (17%) Acidobacteria (17%) and Planctomycetes (3%) while the prominent phyla in rhizosphere soil are Actinobacteria (63%) Proteobacteria (24%), Acidobacteria (7%) and Planctomycetes (3%). The major functional profiles of bacterial communities in both bulk and rhizosphere soils are metabolism of amino acids, carbohydrates, terpenoids, polyketides, cofactors, and xenobiotic degradation. Alpha diversities among the bacterial community were higher in Simpson’s reciprocal index for both bulk and rhizosphere soils. This study opens up new frontiers in expanding metagenomics studies on environmental samples which would capture and contribute to the identification of soil bacteria useful to ecosystem functions.
Measurement of Phenylalanine Monooxygenase (PAH) Activities
Authors: Steventon Glyn B. , Mitchell Stephen C.
Published: August 2009

Mammalian phenylalanine monooxygenase (phenylalaninase, phenylalanine hydroxylase, PAH; EC 1.14.16.1) is a member of the large aromatic amino acid hydrolase cohort of enzymes that include tyrosine monooxygenase and tryptophane monooxygenase. PAH is a non‐heme‐iron‐dependent protein that normally catalyzes the C‐oxidation of phenylalanine (Phe) to tyrosine (Tyr) in the presence of BH4, utilizing molecular dioxygen as an additional substrate. However, over recent years, the presumed narrow substrate specificity of PAH has been questioned and catalytic activity towards alternative xenobiotic substrates (both environmental and drugs) has been reported. Like the cytochrome P450 system, PAH is able to oxidize both aliphatic and aromatic carbon centers in addition to undertaking the S‐oxidation of aliphatic thioethers (including the two mucoactive drugs S‐carboxymethyl‐L‐cysteine and S‐methyl‐L‐cysteine).Curr. Protoc. Toxicol. 41:4.29.1‐4.29.11. © 2009 by John Wiley & Sons, Inc.
Genotyping Escherichia coli O157:H7 for Its Ability to Cause Disease in Humans
Authors: Bono James L.
Published: August 2009

Escherichia coli are ubiquitous in the world, and for the most part are non‐pathogenic and part of the normal lower gastrointestinal tract in mammals. However, some pathogenic isolates can cause severe disease that range from meningitis to hemorrhagic colitis (HC). In recent years, Shiga toxin‐containing E. coli (STEC) have been a major cause of food borne and environmental cases of HC and hemolytic uremic syndrome. One STEC serotype, O157:H7, has been responsible for numerous food‐associated outbreaks and recalls worldwide. The protocols in this unit will allow the reader to use real‐time polymerase chain reaction genotyping to identify isolates that are more likely to cause disease in humans. The genotyping assay targets a single‐nucleotide polymorphism (SNP) in the tir gene. The tir gene is located in a virulence operon called the locus for enterocyte effacement and functions as a receptor for the tight adherence of E. coli O157:H7 to epithelial cells. As more genomes are sequenced, informative SNPs that associate with phenotypes will be identified. Identifying isolates not only by their genus and species, but also by using other informative genomic traits will increase the general knowledge about their genetic diversity. Curr. Protoc. Microbiol. 14:5A.3.1‐5A.3.10. © 2009 by John Wiley & Sons, Inc.
Propagation of Major Plant‐Virus Hosts
Authors: Hull Roger
Published: August 2009

Plant viruses are propagated in host plants, which are usually grown in glasshouses, screen houses, or growth cabinets. In most cases, the plants are grown from seed; in some cases, they are propagated as cuttings. This unit describes the basic techniques of growing suitable plants from seed and cuttings. Curr. Protoc. Microbiol. 14:16A.2.1‐16A.2.4. © 2009 by John Wiley & Sons, Inc.
Working memory for ballet moves and spatial locations in professional ballet dancers
Authors: Cortese Antonio , Rossi‐Arnaud Clelia
Published: August 2009

The aim of the present study was to investigate working memory for ballet moves in expert dancers. Experiment 1 showed that a concurrent spatial task did not interfere with the recall of a sequence of ballet moves when these were encoded alone without being associated with spatial locations. Experiment 2 showed that a concurrent motor task selectively interfered with the recall of ballet moves while neither a concurrent motor task nor a spatial task affected recall of the specific locations where each ballet move had to be performed. Experiment 3 showed that spatial interference affected recall of sequences of locations when these were encoded alone. Finally, in Experiment 4, a similarity effect for patterned ballet movements was shown. Taken together results show that spatial interference does not affect short‐term memory for ballet moves thus suggesting that working memory might contain a system for motor configurations. Copyright © 2009 John Wiley & Sons, Ltd.
Carbon Nanotubes Anchored to Silicon for Device Fabrication
Authors: Constantopoulos Kristina T. , Shearer Cameron J. , Ellis Amanda V. , Voelcker Nicolas H. , Shapter Joseph G.
Published: August 2009

This report highlights recent progress in the fabrication of vertically aligned carbon nanotubes (VA‐CNTs) on silicon‐based materials. Research into these nanostructured composite materials is spurred by the importance of silicon as a basis for most current devices and the disruptive properties of CNTs. Various CNT attachments methods of covalent and adsorptive nature are critically compared. Selected examples of device applications where the VA‐CNT on silicon assemblies are showing particular promise are discussed. These applications include field emitters, filtration membranes, dry adhesives, sensors and scaffolds for biointerfaces.

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