bluuebunny/crossref_metadata_2025 huggingface dataset:
Pendampingan Bisnis Dan Perizinan Berusaha Terintegrasi Secara Elektronik Berbasis Risiko Melalui Online Single Submission (OSS) Bagi Wirausaha Pemula Aceh
Authors: Arfan Rahmat , Mirnawati Mirnawati , Ariansyah Ricky , Akbar Indra , Puspita Desy , Aini Zahriatul
Published: October 2024

This Community service program was initiated by Polytechnic Kutaraja and collaboration with PLUT UMKM Banda Aceh a as learning facility and program socialization in a product, packaging, and business permit. The best Business assistant not only explains the product but also explain business permits, packaging, and other more about way to make an effective micro business, it is much needed late because people are increasingly aware of a business permit as facility consumption security and the way they choose product base on look likes. Besides that, this program also explains packaging as easy marketing method and also informs about what the product contains to customers and how they chose the product because the product is attractive.Then this program added information about how to publish their permit number (NIB) as business identity and how easy to publish this NIB where on this program they trained and guided on publishing their business permit.Lastly hoping to this program will be continued and can schedule every year to help micro business to get information about the business permit, good products, and attractive packaging.
Peningkatan Pemahaman dan Keterampilan Bisnis pada KATAR MARSEL melalui Pelatihan Business Model, Selling Skills, dan Literasi Keuangan
Authors: Basuki Carola , Kurniawan Anton , Purnomo Lorio
Published: October 2024

This Community Service Activities has the goal of assisting organizations in increasing knowledge and business development in their Human Resources through training in Business Model, Selling Skill, and Financial Literacy. Community Service Activities was carried out at Sudimara Selatan, Ciledug, Tangerang City. Karang Taruna Community (KATAR MARSEL) in South Sudimara was the target of Community Service Activities who have F&B business to sell coffee products. The problem faced by the community is that Human Resources lack knowledge about Business Model, techniques for selling products through a digital platform, and financial arrangements in the coffee business. The Community Service Activities team provided solutions to the community by providing training so that businesses engaged in selling coffee from the community's ideas can further develop by creating the right Business Model, selling products effectively through digital platforms, and managing finances efficiently. The methods used in this Community Service Activities were socialization methods, question and answer discussions, simulations, and review of community-owned coffee businesses. The results of this Community Service Activities that have been carried out are that the KATAR MARSEL Community has the knowledge and able to develop their business by made the right Business Model strategy, could optimize sales through the chosen social media platform and make accurate financial arrangements.
Democracy and Public Finance in the Greek Cities
Authors: Migeotte Léopold
Published: October 2024

Summarizing several main points of the synthesis book published by this author in 2014, this article emphasizes the role of direct democracy in the management of finance in the Greek cities: powers of assemblies and councils, planning of public spending, supervision of the magistrates and the rendering of accounts, and organization of financial resources (regular revenue and occasional contributions by individuals). The financial system of the cities was admittedly imperfect, but it was better organized and more efficient than is often claimed; one of its essential characteristics was the commitment of wealthy citizens to politics and their financial contributions.
Toxic chemical compounds and their effect on the human body
Authors: Smirnova О. V. , Shapovalov М. S.
Published: October 2024

Annotation. Chemical substances can affect a person in different ways: excess or lack of certain chemical elements in nature; ingress of toxic substances as a result of human activity: development of deposits; emissions of waste from enterprises and cars into the biosphere; use of fertilizers, pesticides. Wars and military conflicts in the world can cause getting various toxic substances into the body, which not only lead to physical injuries and death, but can also cause long-term and serious health consequences. These substances can be used as components of chemical weapons or can accidentally enter the environment during military operations. The purpose of the work is to conduct a review of modern scientific literary sources on the toxic properties of chemical compounds and mechanisms of action of substances that are components of chemical weapons and can cause pathological changes in the human body. Based on the scientometric databases Google Scholar, Web of Science, Science Direct, PubMed a retrospective analysis of scientific works was carried out. After reviewing the articles and getting acquainted with their full text, 35 sources were selected. The results of the review prove the toxicity and impact on the human body of Strontium, Plumbum, Phosphorus, Arsen, Chlorine, Mercury and other chemical elements. The nature of the action of toxic substances depends on their chemical structure, physical properties, concentration, routes of entry and duration of contact. Toxic elements are absorbed into tissues by adsorption (accumulation of compounds on the surface of cells) or absorption (accumulation inside cells) through the membrane. The main routes of entry of chemicals through the gastrointestinal tract, respiratory organs and skin. In the human body these compounds can disrupt biochemical processes and cause chronic diseases and acute poisoning, in the worst case it can be death. The article describes the effect of only a few dangerous chemicals, but there are much more of them, that’s why in the future work the authors are going to continue to search for data on toxic substances.
The author’s individuality is back in the limelight
Authors: Pereverzin A. V. , Pogorelaya E. A.
Published: October 2024

Pereverzin, a contemporary poet, a winner of the ‘Moskovskiy schyot’ literary award (2009), and the editor-in-chief of the poetry journal Piroskaf, discusses new names and trends in modern poetry with the critic E. Pogorelaya. Starting with an overview of the changes that have marked contemporary poetry following the dissolution of the publisher Voymega almost three years ago, the conversation next considers the journals Prosodia and Piroskaf and discusses: their objectives, priorities, and target audiences; the similarity of the situation faced by contemporary poets and artists alike; new methods in poetry and artificial intelligence. The discussion mentions the names of modern poets and artists featured in Piroskaf, a journal that promotes an innovative mixture of verbal and visual arts. Pereverzin suggests that today’s poetry seeks new forms of interaction with its audience, but pandering to readers’ tastes will lead the poet to a dead end. Poetry is supposed to perceive and recreate the world as a reality, rather than a reflection, including the reflections in the reader’s eyes.
Egorova, L. (2024). To publish and translate the impossible: From the history of ‘Kolyma Tales’ [‘Kolymskie rasskazy’]. Vologda: Vologodskiy gosudarstvenniy universitet. (In Russ.)
Authors: Minnullin O. R.
Published: October 2024

: In his critical review of L. Egorova’s monograph To Publish and Translate the Impossible: From the History of ‘Kolyma Tales’ [Izdat i perevesti nevozmozhnoe: Iz istorii ‘Kolymskikh rasskazov’], O. Minnullin recognizes the book’s strengths, such as exclusive insights into the story of Shalamov’s publication in the West, an uncompromising quest for the textological accuracy of the published ‘Kolyma epic,’ and the author’s profound understanding of the intricacies of translating Shalamov’s prose into English. L. Egorova successfully proves that J. Glad’s deviations from the original text result from the fact that the American translator often worked with the author’s text heavily revised by the editor. A meticulous comparison of the original text as printed in the 2013 edition of collected works, which is based on Shalamov’s holograph, and the Noviy Zhurnal publication reveals extremely liberal treatment of the text by the journal’s editor.
Labor market analysis using randomized systems of iterated functions
Authors: Gornostaev A. K. , Ogarok A. L.
Published: October 2024

Relevance. Currently, the labor market faces the pressing need to find suitable candidates. Over the past 5 years, the IT market has changed significantly. Due to the outflow and new ways to stimulate employment, it has become more difficult for companies to select qualified personnel to perform the necessary tasks.

Purpose. Using randomized systems of iterated functions to analyze the job seekers’ market and select the most suitable candidates for a given profile from the field of information technology.

Materials and methods. The data collected from open sources were used. The analysis was carried out using randomized systems of iterated functions. In the work, the cluster analysis method was used, typical representatives of each class were selected, and randomized systems of iterated functions were used to construct fractal sets.

Results. Three groups of candidates with different characteristics were formed. Conclusions. The use of randomized systems of iterated functions allows you to effectively analyze the labor market. The proposed approach improves the quality of candidate selection.
Algorithm for constructing routing to ensure fault tolerance of the communication network
Authors: Sorokin G. O. , Sinitsyn A. V.
Published: October 2024

Introduction. The efficiency, reliability and scalability of a  communication network largely depend on the choices made by the routing algorithm. This is especially true now, due to frequent escalations of military conflicts, the consequences of which can affect the stability and reliability of network communications.

Purpose. Formalization of an algorithm that ensures fault tolerance of a communication network by constructing optimal routing.

Methods. Mathematical modeling, as well as experimental testing of the presented model based on various geodata through the practical implementation of a formalized algorithm.

Results. A mathematical model of the algorithm is proposed, which is based on algorithms for constructing a minimum spanning tree, as well as an example of its implementation.

Conclusions. The presented algorithm allows you to build routing that ensures fault tolerance of the communication network, in conditions of theoretical destruction of nodes in communication networks by determining the probability of the existence of adjacent nodes.
Understanding riddles by the type of "Description of situations" by second grade students with general speech underdevelopment (level III)
Authors: Blagikh Natalia Evgenevna
Published: October 2024

The article describes the difficulties of guessing riddles by the type of "Description of situations" in second grade students with ONR (III level of speech development). The answers and their causes are given. The children give the presented answers after listening to the riddle holistically, without additional types of help. The reasons for such responses can serve as a basis for determining the areas of work and types of assistance in order to expand knowledge and ideas about the surrounding reality among students of the second grades with ONR (III level of speech development).
Optimasi Keamanan Jaringan VPN IPSec Tunnel Fortigate Dengan AES
Authors: Abdillah Gipari Pradina , Notonegoro Danendra Satriyohadi , Susanto Hermawan , Mulyana Dadang Iskandar
Published: October 2024

VPN merupakan teknologi komunikasi yang menggunakan jaringan pribadi yang dapat dihubungkan ke jaringan publik. Dengan cara ini maka izin dan pengaturan yang sama seolah-olah berada di jaringan lokal yang menggunakan jaringan publik. Penelitian ini menggunakan enkripsi AES pada  IKEv2 IPSec Tunnel. AES (Advanced Encryption Standard) merupakan algoritma enkripsi yang biasa digunakan di IPSec (Internet Protocol Security) untuk melindungi transmisi data di terowongan. Oleh karena itu, untuk menambahkan lapisan enkripsi AES, digunakan protokol enkripsi IPSec dan IKEv2. Itu sebabnya penerapan di Fortigate ini memungkinkan pengguna membuat jalur pengoptimalan yang aman antara dua jaringan berbeda. Semua lalu lintas yang melewati jalur optimasi dienkripsi menggunakan AES. Implementasi ini menunjukkan tingkat keamanan yang tinggi. Enkripsi AES, yang merupakan standar keamanan yang kuat, berfungsi secara efektif dalam melindungi komunikasi melalui tunnel IPSec.
 
Kata Kunci: IPSec, VPN, Terowongan, AES, IKEv2, Fortigate
Innovative social approaches to enhance the ecological sustainability of Kopi Luwak Village in Prangat Baru, East Borneo
Authors: Busyairi Muhammad , Kahar Abdul , Saputra Dharma , Soenarih Asih , Apriliyani Vivi , Aprilia Dita , Pratama Azis Rahmat , Sihombing Marista , Jannah Aulia Miftahul
Published: October 2024

Nestled in the hilly region of Marangkayu District, Prangat Baru Village experiences an annual rainfall of 194.5 mm and sits at an elevation of 150 meters above sea level. The Kopi Luwak Village Ecology Strengthening Program in Prangat Baru is an expansion of a previous initiative. Its primary objective is to enhance the economic standing of the village’s coffee farmers through a three-pronged approach, aiming for program self-sufficiency by 2024. These pillars include cultivating Liberica coffee, conserving the Asian palm civet, and promoting Kopi Luwak Village as an educational tourism destination. The program employs a strategy of socialization, training, and mentorship for the local coffee farmers. Implementation results have demonstrated a significant improvement in the economic well-being of the participating farmers and their community. Moreover, the program’s successful practices have inspired other farmer groups to replicate the initiative.
Health lifestyle education through the 6-step handwashing and toothbrushing campaign
Authors: Kusrini Kusrini , Jumiati Jumiati , Amai Amai , Ali La , Rafiani Rafiani , Salju Iskandar , Lestari Ayu
Published: October 2024

Elementary school children, aged 6 to 11 years old, are a vulnerable group susceptible to health problems. This community service activity aimed to provide education and guidance on healthy lifestyles to students at SDN 1 Bataraguru, Palabusa Village, Lea-lea District, Baubau City. The program involved a socialization session on the six steps of proper handwashing and toothbrushing, followed by practical demonstrations. The results showed an improvement in students' understanding, knowledge, and application of the six steps of handwashing and toothbrushing, which is expected to reduce health problems among children.
Training on making supplementary feeding (PMT) from cow's milk and moringa leaves
Authors: Sunarsih Tri , Astuti Pudji , Nusantoro Bangun P , Sarmin Sarmin , Astuti Endah Puji , Shanti Elvika Fit Ari , Abidah Alief Nur Insyiroh , Airin Claude Mona
Published: October 2024

Chronic malnutrition leading to stunting remains a significant challenge in Indonesia. Supplemental feeding (PMT) based on cow's milk and moringa leaves holds potential to address this issue. This community service aimed to enhance community knowledge and skills in producing PMT from cow's milk and moringa leaves, which are rich in nutrients. The implementation methods included preparation, community socialization, theoretical and practical training, and follow-up monitoring and evaluation. The results of the community service showed a significant increase in participants' knowledge and skills regarding nutrition and PMT production. Participants were able to produce various PMT products such as yogurt, biscuits, sempol, and nuggets, and demonstrated creative ideas in developing new product variations.
Improving maternal and infant health through acupressure
Authors: Longgupa Lisda Widianti , Nurmiaty Nurmiaty , Entoh Christina , Noya Fransisca , Sitorus Sony Bernike Magdalena , Ramadhan Kadar , Nurfatimah Nurfatimah , Sakti Putri Mulia , Kuswanti Febti , Khuzaifah Khuzaifah , Lailatul K Marlina
Published: October 2024

A prevalent experience among pregnant women is discomfort. Acupressure, a cornerstone of Traditional Chinese Medicine (TCM), seeks to harmonize the body's energy flow through meridian points postulated to be interconnected with internal organs. This community outreach initiative sought to augment the capabilities of pregnant women and caregivers of infants/toddlers in self-acupressure and neonatal/infant acupressure within Lantojaya Village, Poso Pesisir District, Poso Regency. The methodology encompassed lectures, interactive question-and-answer sessions, discussions, and practical demonstrations. The outcomes revealed a discernible shift in participants' knowledge concerning acupressure principles and their proficiency in applying acupressure to specific part of body.
Community empowerment in waste management in Karangwuni, North Magelang
Authors: Yuliani Nur Laila , Setia Eka Yudha Adi , Wintoro Khikma , Putri Sefia Tiara , Putri Mifta Shafira , Wardani Bella Ayu Kusuma
Published: October 2024

The high production of household waste in Karangwuni Village, North Kramat, poses a significant concern. This community service aimed to enhance public awareness of proper waste management as a preventive measure against diseases, particularly chikungunya. Through methods such as socialization, counseling, and mentoring, the activity successfully increased public awareness of environmental cleanliness and waste management. Additionally, training on herbal drink preparation was provided to PKK mothers to boost immunity.
Responsabilidad social corporativa, criterios ESG y su comunicación en el sector textil español
Authors: Ramírez Barredo Belén , Guerrero González-Valerio Beatriz
Published: October 2024

Introducción: El presente artículo tiene como objetivo analizar la relación que existe entre la comunicación de las empresas en materia de sostenibilidad y su impacto en el imaginario de los consumidores, con el fin de evaluar en qué medida estas variables están alineadas. El estudio se centra en tres empresas españolas del sector textil: Inditex, Mango y Adolfo Domínguez. Metodología: Con el fin de dar respuesta a los objetivos y suscribir o rechazar las hipótesis de partida, se utiliza una metodología mixta, de corte cualitativo y cuantitativo. Resultados: Las tres empresas analizadas representan ejemplos destacados de cómo las grandes empresas de moda españolas pueden integrar criterios ESG en sus operaciones y cómo estas prácticas son percibidas por los clientes. Discusión: Su estudio proporciona una base sólida para entender las mejores prácticas y los desafíos en la implementación y comunicación de estrategias sostenibles en la industria textil. Conclusiones: Existe una brecha significativa entre las acciones de sostenibilidad de las empresas y la percepción de los consumidores, quienes reciben información muy sesgada, principalmente a través de redes sociales y puntos de venta, en lugar de informes anuales.
Формування ключових компетентностей старшокласників у навчанні природничих дисциплін
Authors: Лов'янова Ірина , Васецький Олександр
Published: October 2024

The article substantiates the didactic conditions for the effective formation of key competencies of high school students in learning the disciplines of the natural and mathematical cycle. The authors consider how to give the content of training a competence orientation by offering tasks of different complexity levels. They also substantiate that the modular organization of the learning content affects the competence growth of high school students. In the article, the authors describe how experimental training was planned and carried out within the framework of conducting the optional course “Fundamentals of Cognition in Education” which allowed to test and verify the effectiveness of the specified didactic conditions.
Особливості формування професійної культури викладача математики
Authors: Ковтонюк Мар'яна , Соя Олена
Published: October 2024

The professional culture of a mathematics teacher is substantiated as an integrated dynamic property of a personality that projects his/her general culture in the field of the profession, and is a synthesis of mathematical, scientific, methodological and pedagogical cultures of the teacher, realized in a synergistic educational space using digital technologies. The ways of forming professional culture through the components of the pedagogical process are proposed: content, operational, diagnostic and effective.The purpose of the article is to carry out a scientific and theoretical analysis of the peculiarities of the formation of the professional culture of a mathematics teacher and a future mathematics teacher, to define the concept of professional culture of a mathematics teacher, to model its main components (mathematical, scientific, methodological and pedagogical cultures), to establish their structure and to outline possible ways of forming professional culture in a post-industrial society.
Підготовка майбутніх учителів математики до застосування цифрових технологій в освітньому процесі закладів загальної середньої освіти
Authors: Коношевський Олег
Published: October 2024

The article examines the problems of digital educational competence of future teachers of mathematics in connection with the need to improve the quality of teaching in mathematics (algebra and beginnings of analysis, geometry) in ZZSO and in accordance with the technological requirements of the time. The author of the article specifies the pedagogical tasks of preparing the future teacher of mathematics for the use of digital technologies in the educational process of SEN in relation to the professional competencies of the future teacher. The need to expand the range of methodological knowledge and skills of future mathematics teachers in the aspect of using specialized mathematical software and creating educational digital materials is substantiated.
Оценка QTT рангов регулярных функций на равномерной квадратной сетке
Authors: Зыль А. В. , Замарашкин Н. Л.
Published: October 2024

В работе доказываются оценки e-рангов для TT-разложений тензоров, полученных путем тензоризации значений регулярной функции одной комплексной переменной на равномерной квадратной сетке на комплексной плоскости. Установлена связь точности приближения и геометрии области регулярности функции. Библ. 8. Фиг. 2.
Новые компьютерно-экономичные аппроксимации случайных функций для решения стохастических задач теории переноса
Authors: Михайлов Г. А. , Медведев И. Н.
Published: October 2024

Разработана новая сеточная аппроксимация однородного изотропного случайного поля с заданной средней корреляционной длиной. Эта аппроксимация строится путем разбиения координатного пространства на ансамбль кубиков, размер которых воспроизводит среднюю корреляционную длину при независимом выборе значения поля из заданного одномерного распределения в каждом элементе разбиения. Сформулирован также недавно предложенный авторами метод корреляционно-рандомизированного моделирования переноса частиц через случайную среду. Проведено сравнение точности и трудоемкости соответствующих алгоритмов метода Монте-Карло для решения задач о переносе гамма-квантов через случайную среду типа мозаики Вороного. Для проверки гипотезы о существенном влиянии одномерного распределения и корреляционного радиуса оптической плотности среды на перенос излучения были также проведены дополнительные расчеты для случайного пуассоновского “поля воздушных шаров” в воде. Дано обобщение сеточной аппроксимации на неизотропные случайные поля. Библ. 19. Фиг. 3. Табл. 4.
Исследование применения явно-итерационной схемы к моделированию дозвуковых реагирующих газовых потоков
Authors: Пескова Е. Е. , Язовцева О. С.
Published: October 2024

Статья посвящена исследованию возможности применения явно-итерационной схемы ЛИ–М для расчета диссипативных членов к решению задач дозвуковых реагирующих потоков с радикально-цепными реакциями, активными диффузионными процессами, значительной теплопередачей и энергопоглощением. Моделирование подобных течений характеризуется ограничением на шаг интегрирования по времени, связанным, в первую очередь, с преобладанием диффузионных процессов над конвективными и наличием быстрых химических реакций. Математическая модель описана с использованием многокомпонентных уравнений Навье–Стокса. Совокупность разномасштабных процессов в модели обусловила использование принципа расщепления по физическим процессам: химическая кинетика проинтегрирована методом Радо с адаптивным шагом по времени; конвективный поток рассчитывается с использованием потока Русанова и WENO схемы; диссипативные потоки с помощью явно-итерационной схемы ЛИ–М. В результате разработаны численный алгоритм и код для исследования дозвуковых реагирующих течений в осесимметричной геометрии и проведен ряд вычислительных экспериментов. Для тестирования реализованного алгоритма было решено одномерное нестационарное неоднородное уравнение. Показано, что применение схемы ЛИ–М к расчету диссипативной части позволяет избавиться от диффузионного ограничения на шаг интегрирования по времени. Было проведено численное моделирование процесса высокотемпературной конверсии метана в одномерной постановке. Данный процесс характеризуется быстрыми химическими реакциями, значительными локальными изменениями температуры, плотности газа и теплофизических характеристик, что накладывает серьезные ограничения на шаг интегрирования по времени. Показано, что алгоритм позволяет проводить расчеты с шагом, превышающим диффузионные ограничения на шаг по времени. Проведено сравнение расчетов с расчетами по ранее верифицированному алгоритму, показано хорошее совпадение результатов со значительным выигрышем по времени выполнения программы. Проведено численное моделирование течения газа в цилиндрической трубе, полученные результаты верифицированы путем сеточной сходимости. Библ. 29. Фиг.7.
Utopian discourse in Latin American culture
Authors: Paniotova T. S
Published: October 2024

The paper considers the utopian discourse in Latin American culture late XX — early XXI centuries. The interpretation of utopia as one of the markers of Latin American identity forces us to pay special attention to this phenomenon. The analysis of the Latin American utopian tradition demonstrates the intensity of utopian thinking on the continent, as well as the productivity of its comprehension in the works of Latin American authors. The conceptual growth of the general Latin American reflection on utopia is associated with its practical aspect, which is at odds with the Anglo-Saxon tradition of thought perpetuating utopia as a literary genre. The methodology of textual and cross-cultural analysis used in the article made it possible to identify the main names (A.Reyes, A. A. Roig, G. Cerutti Guldberg, F. Ainsa and others) and original images and concepts that are inherent in the Latin American tradition (“laboratory of European utopias”, “utopia for others” and “our right to utopia”, “utopian function”). As well as it is possible to reveal research paradigms and scientific schools.
Evgeny Evtushenko's Latin American tour (1968). Uruguay. Colombia. “The conquest of souls”
Authors: Buynova K. R
Published: October 2024

In 1967—1968. Yevgeny Yevtushenko was on a large Latin American tour, performing for five months in Chile, Uruguay, Colombia and Mexico. In the present article we continue to publish the poet's report from this tour with our comments. The report was written in the spring of 1968 for the internal use of the Soviet Writers' Union, which of course implied that the document would be passed on to the Central Committee, a fact of which the poet was well aware. After friendly Chile (see Latin America, 2024, no.5), Yevtushenko describes the countries less familiar to Soviet cultural diplomacy, Uruguay and Colombia, where “the conquest of souls who are subtly reaching out to us” was still to be achieved. He writes considerably less about both countries than about Chile: the former because of his short stay, and the latter probably because much of his time in Colombia was taken up by personal relations, which he could not in any way confess to the Writers' Union, let alone to the Central Committee.
Permasalahan dan Tantangan Pengawasan Dalam Pelaksanaan Program Bimbingan dan Konseling pada Era Perkembangan Teknologi Informasi di Sekolah
Authors: Wulandari Nilas Siti , Firman Firman , Neviyarni Neviyarni
Published: October 2024

Individuals cannot be separated from technological updates in an era that continues to move. Guidance and counseling supervision aims to provide self-development facilities, and school counselor skills to improve counselor competence and increase responsibility in counseling and create guidance service programs. Found that the purpose of a school supervisor for guidance and counseling can use several approaches including conducting assessments, prevention, motivation, and providing reinforcement to find out the benefits of the program and the implementation of guidance and counseling in schools that have been achieved. and knowing progress and weaknesses, as well as having preventive steps to avoid deviations because prevention is better than repair. The research method is literature study, collecting data by finding sources and constructing them from various sources such as books, journals, and existing research. The results and discussion of the results of the research conducted at the school is that the school principal and the school superintendent are functional officials who serve as technical implementers to supervise the education of certain designated or designated schools.
Is It Matters to Have a Higher Education for the Young People Behavior on the Internet?
Authors: Gabdrakhmanova G. F.
Published: October 2024

The article solves the problem of comparing the influence of two factors – the presence of higher education and generational affiliation – on digital competence and on the behavior of young people in the Internet space. Approaches arising from the theory of digital inequality are involved to solve it. They are problematizing the importance of socio-demographic and other population’s characteristics for the use of information and technological innovations. Another important study aspect was the theory of generations. It made it possible to identify generations Y and Z, formed under the conditions of technological changes at the turn of the 20th-21st centuries. The article focuses on representatives of Generation Z. Their digital competence and behavior on the Internet is compared with higher education. Sources of the study: a sociological survey of young people in 8 federal districts of Russia conducted in 2023, data from analytical companies subjected to secondary assessment, materials from official statistics.

Education is the third most important factor influencing the digital inequality of Russian youth, two other reasons are behind – place of residence and material security. Higher education maintains its position in ensuring the digital competence of young people. However, its presence does not affect the behavior of young people on the Internet. Representatives of Generation Z, who today are still studying at or enrolling in Russian universities, are not inferior to those who have higher education in terms of the information and technological innovations level of use. Digital natives are noticeably more likely than millennials to evaluate the Internet as a source of education, self-education, and broadening their horizons. Such a request creates new tasks for higher education. The article concludes with recommendations for Russian universities regarding their work in social media that is significant for generation Z.
A Unified Automata-Theoretic Approach to LTLf Modulo Theories
Authors: Faella Marco , Parlato Gennaro
Published: October 2024

We present a novel automata-based approach to address linear temporal logic modulo theory (LTLfMT) as a specification language for data words. LTLfMT extends LTLf by replacing atomic propositions with quantifier-free multi-sorted first-order formulas interpreted over arbitrary theories. While standard LTLf is reduced to finite automata, we reduce LTLfMT to symbolic data-word automata (SDWAs), whose transitions are guarded by constraints from underlying theories. Both the satisfiability of LTLfMT and the emptiness of SDWAs are undecidable, but the latter can be reduced to a system of constrained Horn clauses, which are supported by efficient solvers and ongoing research efforts. We discuss multiple applications of our approach beyond satisfiability, including model checking and runtime monitoring. Finally, a set of empirical experiments shows that our approach to satisfiability works at least as well as a previous custom solution.
A Study of Prototypical Network Techniques for Cross-Subject EEG Analysis
Authors: Liu Wenchao , Wang Guagnyu , He Yuhong , Bo Hongjian , Ma Lin , Li Haifeng
Published: October 2024

Electroencephalography (EEG), a technique that uses electrodes on the scalp to record changes in cerebral electrical potentials, plays a key role in various brain-computer interface applications. However, due to the large differences in EEG distribution across subjects, how to accurately classify cross-subject EEG is still a challenge. In practice, it is unavoidable to collect data for each subject to perform calibration, which is cumbersome and expensive. In this paper, we propose a Cross Subject EEG Prototypical Network (CS-EEGPNet) for accurate few-shot EEG classification. To the best of our knowledge, we are the first to eliminate inter-subject distribution shift in few-shot EEG classification through multiple feature layers computation. Specifically, to avoid the effect of individual differences, we propose a few-shot feature normalization (FSFN) method, which uses the mean and variance of the same subject’s support set features to normalize the query set features. Meanwhile, we design a prototypical module based on auxiliary factors. This module utilizes learnable vectors to store category-related information for assisting the construction of prototypes, thus mitigating the effects of EEG’s randomness and non-stationary characteristics on cross-subject few shot classification. To validate the effectiveness of the method, we selecte the motor imagery paradigm, which is relatively complex in brain-computer interfaces, and test our method on the BCIC IV 2a and HGD datasets. The results demonstrate that our method significantly enhances EEG classification performance, achieving the state-of-the-art accuracies.
Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence
Authors: Tan Xiaoyu , Li Bin , Qiu Xihe , Huang Jingjing , Xu Yinghui , Chu Wei
Published: October 2024

Integrating deep neural networks with the Hawkes process has significantly improved predictive capabilities in finance, health informatics, and information technology. Nevertheless, these models often face challenges in real-world settings, particularly due to substantial label noise. This issue is of significant concern in the medical field, where label noise can arise from delayed updates in electronic medical records or misdiagnoses, leading to increased prediction risks. Our research indicates that deep Hawkes process models exhibit reduced robustness when dealing with label noise, particularly when it affects both event types and timing. To address these challenges, we first investigate the influence of label noise in approximated intensity functions and present a novel framework, the Robust Deep Hawkes Process (RDHP), to overcome the impact of label noise on the intensity function of Hawkes models, considering both the events and their occurrences. We tested RDHP using multiple open-source benchmarks with synthetic noise and conducted a case study on obstructive sleep apnea-hypopnea syndrome (OSAHS) in a real-world setting with inherent label noise. The results demonstrate that RDHP can effectively perform classification and regression tasks, even in the presence of noise related to events and their timing. To the best of our knowledge, this is the first study to successfully address both event and time label noise in deep Hawkes process models, offering a promising solution for medical applications, specifically in diagnosing OSAHS.
Towards Unsupervised Validation of Anomaly-Detection Models
Authors: Idan Lihi
Published: October 2024

Unsupervised validation of anomaly-detection models is a highly challenging task. While the common practices for model validation involve a labeled validation set, such validation sets cannot be constructed when the underlying datasets are unlabeled. The lack of robust and efficient unsupervised model-validation techniques presents an acute challenge in the implementation of automated anomaly-detection pipelines, especially when there exists no prior knowledge of the model’s performance on similar datasets. This work presents a new paradigm to automated validation of anomaly-detection models, inspired by real-world, collaborative decision-making mechanisms. We focus on two commonly-used, unsupervised model-validation tasks — model selection and model evaluation — and provide extensive experimental results that demonstrate the accuracy and robustness of our approach on both tasks.
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides
Authors: An Kaikai , Yang Fangkai , Lu Junting , Li Liqun , Ren Zhixing , Huang Hao , Wang Lu , Zhao Pu , Kang Yu , Ding Hua , Lin Qingwei , Rajmohan Saravan , Zhang Dongmei , Zhang Qi
Published: October 2024

Effective incident management is pivotal for the smooth operation of Microsoft cloud services. In order to expedite incident mitigation, service teams gather troubleshooting knowledge into Troubleshooting Guides (TSGs) accessible to On-Call Engineers (OCEs). While automated pipelines are enabled to resolve the most frequent and easy incidents, there still exist complex incidents that require OCEs’ intervention. In addition, TSGs are often unstructured and incomplete, which requires manual interpretation by OCEs, leading to on-call fatigue and decreased productivity, especially among new-hire OCEs. In this work, we propose Nissist which leverages unstructured TSGs and incident mitigation history to provide proactive incident mitigation suggestions, reducing human intervention. Leveraging Large Language Models (LLM), Nissist extracts knowledge from unstructured TSGs and incident mitigation history, forming a comprehensive knowledge base. Its multi-agent system design enhances proficiency in precisely discerning OCE intents, retrieving relevant information, and delivering systematic plans consecutively. Through our user experiments, we demonstrate that Nissist significantly reduce Time to Mitigate (TTM) in incident mitigation, alleviating operational burdens on OCEs and improving service reliability. Our webpage is available at https://aka.ms/nissist.
A Demonstration of AI Personalized Interactive Fiction for Young Children
Authors: Lesner Jasmine , Murayama Luke , Guizar Tony , Phunjamaneechot Poom , Shapiro Daniel
Published: October 2024

We present a high-fidelity prototype that allows young children to create personalized, interactive stories using AI, designed to enhance their learning, creativity, and decision-making. Children select story topics using emojis to create stories with multimedia elements integrated to boost engagement. The prototype uses AI models for text-to-image, text-to-sound, and text-to-music to enrich the storytelling with visuals, sounds, and music. Parents can monitor the AI-generated content through story charts and media galleries to ensure it remains age-appropriate. While the system can scale out horizontally to accelerate content creation, challenges remain in maintaining consistent visual character portrayal and offering diverse narrative paths. We aim to provide an educational tool that entertains while supporting children’s cognitive development, language skills, and imagination. Our prototype demonstrates the potential of child-centric AI storytelling tools to impact children’s learning and development.
KGPRUNE: A Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning
Authors: Monnin Pierre , Nousradine Cherif-Hassan , Jarnac Lucas , Zuckerman Laurel , Couceiro Miguel
Published: October 2024

Knowledge graphs (KGs) have become ubiquitous publicly available knowledge sources, and are nowadays covering an ever increasing array of domains. However, not all knowledge represented is useful or pertaining when considering a new application or specific task. Also, due to their increasing size, handling large KGs in their entirety entails scalability issues. These two aspects asks for efficient methods to extract subgraphs of interest from existing KGs. To this aim, we introduce KGPrune, a Web Application that, given seed entities of interest and properties to traverse, extracts their neighboring subgraphs from Wikidata. To avoid topical drift, KGPrune relies on a frugal pruning algorithm based on analogical reasoning to only keep relevant neighbors while pruning irrelevant ones. The interest of KGPrune is illustrated by two concrete applications, namely, bootstrapping an enterprise KG and extracting knowledge related to looted artworks.
More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation
Authors: Molina Matías , Veloso Bruno , Ferreira Carlos Abreu , Ribeiro Rita P. , Gama João
Published: October 2024

Image segmentation for detecting illegal landfill waste in aerial images is essential for environmental crime monitoring. Despite advancements in segmentation models, the primary challenge in this domain is the lack of annotated data due to the unknown locations of illegal waste disposals. This work mainly focuses on evaluating segmentation models for identifying individual illegal landfill waste segments using limited annotations. This research seeks to lay the groundwork for a comprehensive model evaluation to contribute to environmental crime monitoring and sustainability efforts by proposing to harness the combination of agnostic segmentation and supervised classification approaches. We mainly explore different metrics and combinations to better understand how to measure the quality of this applied segmentation problem.
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition
Authors: Bouchabou Damien , Nguyen Sao Mai
Published: October 2024

Within the evolving landscape of smart homes, the precise recognition of daily living activities using ambient sensor data stands paramount. This paper not only aims to bolster existing algorithms by evaluating two distinct pretrained embeddings suited for ambient sensor activations but also introduces a novel hierarchical architecture. We delve into an architecture anchored on Transformer Decoder-based pre-trained embeddings, reminiscent of the GPT design, and contrast it with the previously established state-of-the-art (SOTA) ELMo embeddings for ambient sensors. Our proposed hierarchical structure leverages the strengths of each pre-trained embedding, enabling the discernment of activity dependencies and sequence order, thereby enhancing classification precision. To further refine recognition, we incorporate into our proposed architecture an hour-of-the-day embedding. Empirical evaluations underscore the preeminence of the Transformer Decoder embedding in classification endeavors. Additionally, our innovative hierarchical design significantly bolsters the efficacy of both pre-trained embeddings, notably in capturing inter-activity nuances. The integration of temporal aspects subtly but distinctively augments classification, especially for time-sensitive activities. In conclusion, our GPT-inspired hierarchical approach, infused with temporal insights, outshines the SOTA ELMo benchmark.
RPA Demystified: How Software Robots are Revolutionizing Customer Service
Authors: Mayank Choubey
Published: October 2024

Robotic Process Automation (RPA) is revolutionizing customer service by introducing software robots capable of handling repetitive tasks with unprecedented efficiency and accuracy. This article explores the transformative impact of RPA on customer service operations, drawing parallels with everyday automation experiences to demystify the technology. Through case studies and empirical evidence, we examine how RPA streamlines processes such as data entry, ticket routing, and customer data retrieval, leading to significant improvements in operational efficiency and customer satisfaction. The article addresses common misconceptions about RPA, emphasizing its role as a complement to human workers rather than a replacement. We analyze the synergy between RPA and human customer service representatives, highlighting increased employee productivity and job satisfaction. The article also delves into the future prospects of RPA in customer service, including emerging trends like cognitive RPA, while discussing potential obstacles to widespread adoption and strategies for successful implementation. By presenting a comprehensive overview of RPA's capabilities, benefits, and challenges in the customer service domain, this article provides valuable insights for organizations seeking to enhance their customer service operations through automation.
Identification of Slow Learner with Proposed Innovative NDLI Resources Utilization Approach
Authors: Madhuri N. Gedam  , Dr. Deven Shah
Published: October 2024

The National Digital Library of India (NDLI) is National Mission on Education set by Ministry of Education of Govt. of India. It is developed, operated, and maintained by Indian Institute of Technology Kharagpur. It is intended to provide education for all through integrated knowledge base ranging from school level to researcher’s level considering different languages and easily available at the fingertips. The SWOT analysis of contents of NDLI portal is done in this paper. Authors proposed new pedagogy to map the contents of various engineering branches available on NDLI portal with university curriculum to achieve the course outcomes (CO). The analysis of student’s results through quizzes and tests is used for identification of slow, medium, and fast learners of different courses.
Role and Performance(s) of MSMEs in Indian Economy
Authors: Dr. H M Naveen
Published: October 2024

The MSME sector has emerged as a highly vibrtant and dynamic sector in the Indian economy. It contributes significantly in the economic and social development of the country. MSMEs are complementary to large industries as supportive units and it contributes significantly in the inclusive development of the country. The MSMEs are widening their domain across sectors of the economy, producing diverse range of products and services to meet the demands of domestic as well as global market. An overview and performance of MSME Sector in the country is provided in this article in terms of role of MSMEs in Indian economy ; key results of NSS survey on MSMEs. A Comparative analysis of MSMEs in the top of 10 states ; and the Registration of new MSMEs.
A Review on – Liposomes as a Novel Drug Delivery System
Authors: Poonam Ankush Jadhav  , Shambhuraje Manoj Dhumal
Published: October 2024

A flexible and promising drug delivery method are liposomes. Site-targeting, delayed or controlled release, protection of medications from degradation and clearance, increased therapeutic effects, and fewer harmful side effects are some of the advantages of liposomes over alternative drug delivery methods. Liposomes offer numerous advantages and applications due to their efficaciousness as drug carriers in pre-clinical and clinical investigations. Furthermore, problems related to liposomal stabilization, effective targeting strategies, and some of their limitations were covered. The development of liposomes has made it possible to alter the way that many medications are biodistributed, which has improved the substances' medicinal qualities. To sum up, the purpose of this research is to examine the liposomes that are presently available on the market and are employed for a variety of medicinal purposes.