bluuebunny/crossref_metadata_2025 huggingface dataset:
THE HIGH-TECH ELITE? ASSESSING VALUE PRIORITIES OF TECHIES USING THE EUROPEAN SOCIAL SURVEY 2012-2020
Authors: Be'ery Gilad , Epstein Dmitry
Published: July 2024

Using data from the European Value Survey 2012-2020 and Schwartz’s theory of basic values, this paper aims to map the value priorities of people working in tech compared to the general population, understand to what extent those value priorities differ from value priorities of other occupational elites, and how they vary among techies, focusing particularly on developers as a sub-group. Our preliminary findings suggest that compared to the general population, techies tend to prioritize openness to change and to value self enhancement. We also demonstrate that when viewed as a single group, the overall makeup of values of the techies is similar to that of other occupational elites. Yet, the dynamics between individual values among the techies differ from those of other occupational elites and when we separate Developers from other ICT specialists, the Developers appear more extreme in their tendency to negatively value conservation and positively value self-enhancement. Our preliminary results offer potential takeaways for research, policy, and education.
The Impact of Green Technology Adoption and Dynamic Capabilities on Green Competitive Advantage and Sustainable Development: Moderating Role of Organizational Commitment
Authors: Nawab Tabish , Shafiq Ahsan
Published: July 2024

Sustainable development (SD) is the foremost requirement for the environmental sustainability and this aspect needs the attention of recent studies and policymakers. Hence, the present study examines the impact of green technology adoption (GTA), green dynamic capabilities (GDC) on the green competitive advantage (GCA) and SD of manufacturing companies in China. The study also investigates the mediating role of GCA among GTA, dynamic capabilities and SD and also checks the moderating role of organizational commitment among GCA and SD. The study gets the primary data from the employees of manufacturing companies in China using survey questionnaires. The study also used the smart-PLS to check the nexus among the variables. The outcomes indicated that the GTA and dynamic capabilities has a positive association with GCA and SD. The outcomes also exposed that the GCA significantly mediates and organizational commitment significantly moderates among variables. The study provides the guidelines to the policymakers in making the policies related to enhance the SD using GTA and dynamic capabilities.
Perianal fistulizing lesions of Crohn’s disease are associated with long-term behavior and its transition: a Chinese cohort study
Authors: Zhan Wei , Bai Xiaoyin , Yang Hong , Qian Jiaming
Published: July 2024

Background/Aims: Crohn’s disease (CD) has a progressive nature and commonly perianal involvement. The aim of this study is to assess the prevalence, surgical treatment, and outcome of perianal fistulizing CD with associated risk factors in a large Chinese cohort. Methods: Hospitalized patients diagnosed with CD in our center were consecutively enrolled between January 2000 and December 2018. Transition of disease behavior was classified according to the presence or absence of penetrating behavior (B3 in the Montreal classification) at diagnosis and at a median follow-up of 102 months. Results: A total of 504 patients were included, of whom 207 (41.1%) were classified as B3 and 348 (69.0%) as L2/3 at follow-up. Transition of behavior to B3 was observed in 86 patients (17.1%). The incidence of perianal fistulizing lesions was 10.9% at 10 years with a final prevalence of 27.0% (n = 136) at the end of follow-up. Multivariate Cox regression identified independent risks of perianal fistulizing lesions for persistent B3 (hazard ratio, 4.72; 95% confidence interval, 1.91–11.66) and behavior transition of progressed to B3 (hazard ratio, 9.90; 95% confidence interval, 4.60–21.33). Perianal surgical treatments were performed in 104 patients (20.6%). Thirty-six cases (7.1%) were refractory, and it is independently associated with behavior of persistent B3 (P= 0.011). Conclusions: Perianal fistulizing lesions occurred frequently in Chinese CD patients. Its incidence and refractory outcome were closely associated with the penetrating CD behavior. An additional risk of perianal fistulizing lesions was indicated for CD patients with behavior of progressing to B3, suggesting further attention.
Remedial effects of Formula-100 therapeutic milk and Bregas Nutriroll ready-to-use therapeutic food on Indonesian children with severe acute malnutrition: A randomized controlled trial study
Authors: Lubis Anwar , Riyadi Hadi , Khomsan Ali , Rimbawan Rimbawan , Shagti Indhira
Published: July 2024

Severe acute malnutrition (SAM) is a global health concern that affects children and leads to delayed growth. The aim of this study was to compare the impact of F100 milk and Bregas Nutriroll, a local ready-to-use therapeutic food (RUTF), on SAM children. An unmasked, non-blinded, two-group, and simple randomized controlled trial was conducted. Indonesian children aged 12–59 months with SAM were randomly assigned to receive either F100 milk or Bregas Nutriroll. After eight weeks, the increase in the mean weight gain in both groups was assessed. The Bregas Nutriroll group (n=19) had a mean weight gain of 1.07±0.09 kg, while the F100 group (n=17) had a mean weight gain of 1.05±0.11 kg. The Bregas Nutriroll group had a slightly higher gain of mid-upper arm circumference (MUAC) than the F100 group (0.62±0.34 cm vs 0.50±0.37 cm). The gain of children’s height of the Bregas Nutriroll group was 0.96±0.42 cm, while the F100 group was shorter at a mean of 0.81±0.44 cm. Statistically significant differences (p<0.001) in nutritional status were observed based on weight, MUAC, and height/length after F100 and Bregas Nutriroll interventions. The intervention with F100 increased hemoglobin (Hb) levels of 0.71±1.25 mg/dL, while the Bregas Nutriroll intervention led to an increase of 0.11±1.39 mg/dL. In conclusion, our study showed that community-based treatment with F100 milk or Bregas Nutriroll resulted in nutritional status in children with SAM. These findings suggested that both treatments could be effective in treating SAM in improving nutritional status and child health outcomes.
Assessment of the Factors Affecting the National ICT Broadband Backbone (NICTBB) Systems Restoration Time
Authors: Ally Chingumbe Anifa , Mahabi Victoria
Published: July 2024

This study investigates the factors affecting the prolonged system restoration time when national ICT broadband backbone (NICTBB) services are affected by breakdown incidents. NICTBB is the government-owned backbone infrastructure constructed nationally by the Republic of Tanzania to increase the usage of ICT for equitable and sustainable socio-economic development and accelerate poverty reduction. This study utilised a mixture of exploratory and descriptive study approaches. The sample size determination was executed using purposing and simple random sampling, thus involving 289 respondents. The data reliability test was undertaken. It was followed by factor analysis, analysis of variances (ANOVA), linear regression analysis, and confirmed with confirmatory factor analysis (CFA) using IBM SPSS Amos 28 to test the model fitness. The study revealed that the maintenance centres are few and sparsely located, and the distance from maintenance centres increases travelling time, resulting in increased time to restore services. Some factors affecting the restoration time include initial infrastructure design not trenching to locate points of cut, absence of dedicated vehicles standby for NICTBB restoration, retirements of experienced and well-trained staff leaving behind untrained personnel for maintenance activities, and insufficient funds for maintenance. Lastly, power equipment is not looked upon as sometimes the services are down due to commercial power cuts, tripped circuit breakers, and batteries not being charged. Some recommendations include having proper maintenance processes, having enough restoration resources at all maintenance centres, and maintaining proper communication.
Temperature-feedback two-photon-responsive metal-organic frameworks for efficient photothermal therapy
Authors: Sun Xianshun , Lu Xin , Duan Wenyao , Li Bo , Tian Yupeng , Li Dandan , Zhou Hongping ,   School of Chemistry and Chemical Engineering, Anhui University, Hefei 230601, China,   Institutes of Physical Science and Information Technology, Key Laboratory of Structure and Functional Regulation of Hybrid Materials, Ministry of Education, Anhui University, Hefei 230601, China
Published: July 2024

The realization of real-time thermal feedback for monitoring photothermal therapy (PTT) under near-infrared (NIR) light irradiation is of great interest and challenge for antitumor therapy. Herein, by assembling highly efficient photothermal conversion gold nanorods and a temperature-responsive probe ((E)-4-(4-(diethylamino)styryl)-1-methylpyridin-1-ium, PyS) within MOF-199, an intelligent nanoplatform (AMPP) was fabricated for simultaneous chemodynamic therapy and NIR light-induced temperature-feedback PTT. The fluorescence intensity and temperature of the PyS probe are linearly related due to the restriction of the rotation of the characteristic monomethine bridge. Moreover, the copper ions resulting from the degradation of MOF-199 in an acidic microenvironment can convert H2O2 into •OH, resulting in tumor ablation through a Fenton-like reaction, and this process can be accelerated by increasing the temperature. This study establishes a feasible platform for fabricating highly sensitive temperature sensors for efficient temperature-feedback PTT.
Charge-balanced codoping enables exceeding doping limit and ultralow thermal conductivity
Authors: Chen Long , Wang Chun , Wang Lin , Wang Minghao , Zhu Yongchun , Wu Changzheng ,   School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China,   Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230026, China,   Institute of Energy, Hefei Comprehensive National Science Center, Hefei 230031, China
Published: July 2024

Materials with low thermal conductivity are applied extensively in energy management, and breaking the amorphous limits of thermal conductivity to solids has attracted widespread attention from scientists. Doping is a common strategy for achieving low thermal conductivity that can offer abundant scattering centers in which heavier dopants always result in lower phonon group velocities and lower thermal conductivities. However, the amount of equivalent heavy-atom single dopant available is limited. Unfortunately, nonequivalent heavy dopants have finite solubility because of charge imbalance. Here, we propose a charge balance strategy for SnS by substituting Sn2+ with Ag+ and heavy Bi3+, improving the doping limit of Ag from 2% to 3%. Ag and Bi codoping increases the point defect concentration and introduces abundant boundaries simultaneously, scattering the phonons at both the atomic scale and nanoscale. The thermal conductivity of Ag0.03Bi0.03Sn0.94S decreased to 0.535 W·m−1·K−1 at room temperature and 0.388 W·m−1·K−1 at 275 ℃, which is below the amorphous limit of 0.450 W·m−1·K−1 for SnS. This strategy offers a simple way to enhance the doping limit and achieve ultralow thermal conductivity in solids below the amorphous limit without precise structural modification.
Consistent Application of Physiotherapy Methods in the Treatment of Patients with Pulmonary Tuberculosis: A Clinical Case
Authors: Siraeva T. V. , Burakova M. V. , Komissarova O. G. , Romanov V. V. , Polyakova A. S.
Published: July 2024

Introduction. One of the problems of domestic phthisiology is the low effectiveness of treatment, which, along with anti-tuberculosis chemotherapy, uses pathogenetic methods, including physiotherapy procedures. The use of several physical factors in the treatment of pulmonary tuberculosis shows great therapeutic effectiveness. However, there are not enough works highlighting the combined effects of physical factors in tuberculosis of the respiratory system, applied in successive courses, taking into account the phase of a specific process and the mechanisms of therapeutic effects of physical methods.

The purpose of the study — is to demonstrate the effectiveness of consistent application of physiotherapy methods in the treatment of patients with pulmonary tuberculosis.

Materials and methods. The materials of the study were the medical records of the inpatient and the results of a comprehensive examination.

Results and discussion. The presented clinical example demonstrates the effectiveness of consistent application of physiotherapy procedures in the complex treatment of a patient with infiltrative pulmonary tuberculosis. After 1 month from the start of treatment, accelerated positive clinical dynamics was noted, cessation of bacterial excretion, partial resorption of infiltrative changes in the lungs, by 2 months — closure of the decay cavities, after 4 months the patient was discharged with minimal radiological changes to continue treatment on an outpatient basis.

Conclusion. Consistent application of physical factors can be one of the effective methods of improving the effectiveness of treatment of pulmonary tuberculosis, as demonstrated by the presented clinical examples. Further research is needed to substantiate the effectiveness of the proposed methodology.
The Effect of Thyroid Status on the Features of the Course of Perimenopause
Authors: Dubrovina E. A. , Kshnyaseva S. K. , Konstantinova O. D. , Dubrovina G. V.
Published: July 2024

Introduction. According to statistics, the average life expectancy of the female population is steadily increasing and more than ⅓ of a woman’s life is in the period of periand postmenopause. Many women approach the period of perimenopause with existing diseases of the endocrine system, most often associated with the thyroid gland. Such a high prevalence of this pathology occurs due to natural iodine deficiency in almost the entire territory of the Russia. Therefore, the relationship between the symptoms of menopause and endocrine diseases is very relevant.

The purpose of the work is to analyze the data presented in the modern literature on the influence of thyroid status on the features of the course of perimenopause.

Materials and methods. This review is based on data from domestic and foreign studies obtained as a result of a selective search in the electronic databases PubMed and eLibrary from 2016 to 2023.

Results and discussion. The period of perimenopause is accompanied by an increase in the incidence of thyroid diseases. The analysis of the literature data showed the influence of thyroid status on the features of the course of perimenopause and the conditions accompanying it (impaired cognitive functions, changes in bone metabolism, the frequency of abnormal uterine bleeding, the risk of cardiovascular diseases).

Conclusion. Given the relationship of thyroid status with the peculiarities of the course of perimenopause, it is necessary to consider the possibility of complex therapy of thyroid diseases and correction of symptoms of menopausal syndrome.
Analysis of Comorbidity in HIV–Infected Patients with Immunological Inefficiency of Antiretroviral Therapy
Authors: Balykchinova T. V. , Sabitov A. U. , Zhukov V. V.
Published: July 2024

Introduction. Studies indicate high risks of secondary diseases and adverse events not related to HIV in patients with immunological inefficiency of antiretroviral therapy (ART). The effect of comorbidity on the increase of CD4+ is detected.

The aim of the study is assessing the effect of comorbidity on CD4+ growth and the probability of developing immunological inefficiency of ART.

Materials and methods. A retrospective study was conducted that included HIV-infected patients with CD4+ at the beginning of treatment <200 cells/µl. Two groups were formed: the main group — patients with immunological inefficiency of ART (281 people); the control group — patients with sufficient immunological response on ART (188 people). Results. The probability of developing immunological inefficiency in patients with tuberculosis was 1.7 times higher (odds ratio (OR) — 1.7; 95 % confidence interval (CI) — 1.0–2.9); in patients with HCV-infection — 1.8 times higher (OR — 1.8; 95 % CI — 2.6–1.2). The probability of cardiovascular disease in the main group was 2 times higher (OR — 2.3; 95 % CI — 1.0–5.4).

Discussion. Tuberculosis, HCV-infection and cardiovascular diseases frequently registered in the structure comorbidity in the main group of patients.

Conclusion. According to the results of this study, HIV-infected patients with HCV and tuberculosis co-infection have a higher chance of developing immunological inefficiency of ART.
Отдельные аспекты реализации поведенческого механизма управления развитием муниципальных образований
Authors: Куприянов Сергей Васильевич , Климов Анатолий Викторович , Герасимова Наталья Анатольевна
Published: July 2024

Проблема повышения эффективности функционирования хозяйствующих субъектов включает различные аспекты. Одним из них является достижение соответствия развития производительных сил производственным отношениям, поскольку между ними существуют противоречия, сдерживающие реализацию потенциала любого способа производства. Ключевым инструментом устранения указанных противоречий способа производства выступает механизм управления. Несмотря на многочисленность публикаций по проблематике экономического (хозяйственного) механизма управления, которые, несомненно, сыграли положительную роль в теории и практике хозяйствования, необходимы дополнительные исследования, более полно отвечающие современным вызовам. Целью данного исследования является анализ современной практики хозяйствования и обоснования предложений по совершенствованию механизма управления хозяйствующими субъектами за счет повышения роли подсистемы поведенческого обеспечения. Исследование проблемы модернизации механизма управления позволило выявить такое явление, как появление «поведенческого человека», а с ним и значимость учета поведенческого аспекта менеджмента. В процессе исследования применялись такие методы как конкретно-исторический, системный метод, аналитический и балансовый, социологические методы (анкетирование, интервьюирование, тестирование), а также психологические методы управления. Поведенческий механизм управления, органически включая в себя хозяйственный и экономический механизмы, позволяет более реально оценить сложившуюся ситуацию в соответствии производительных сил производственным отношениям. Результаты исследования поведенческого механизма управления открывают новое теоретическое направление в изучении проблем повышения эффективности хозяйствования.
Информационно-аналитическая система мониторинга развития цифровых технологий и оценки их влияния на динамику структурных сдвигов экономики России
Authors: Петрова Елена Александровна , Калинина Вера Владимировна
Published: July 2024

Целью исследования является формирование методологических аспектов и разработки информационно-аналитической системы, предназначенной для анализа тенденций развития цифровых технологий, а также для проведения мониторинга оценки структурных сдвигов в региональной экономике Российской Федерации. Для оценки структурных изменений в экономике используется коэффициент К. Гатева, который является наиболее эффективным инструментом для расчета величин структурных сдвигов и позволяет оценить их изменения как в динамике, так и по результативности. В ходе исследования разработан инструментарий информационно-аналитического обеспечения, с помощью которого проведена оценка динамики коэффициентов структурных сдвигов К. Гатева, выявлена тенденция изменения коэффициентов К. Гатева на ближайший период от имеющихся данных с помощью нейросети, построена регрессионная модель взаимосвязи показателей развития информационного общества и валового регионального продукта на душу населения. Созданная информационно-аналитическая система позволяет повысить эффективность проведения мониторинга развития цифровых технологий в РФ; прогнозировать динамику структурных сдвигов в экономике и оценивать их качество; результаты регрессионного анализа могут использоваться для выявления ключевых факторов, способствующих росту валового регионального продукта. Научная новизна исследования заключается в том, что предлагаемая авторами региональная информационно-аналитическая система (ИАС), в отличие от аналогов, используемых органами региональной власти, аккумулирует результаты комплексного мониторинга структурных сдвигов в экономике регионов; фиксирует состояние и результаты социально-экономического развития регионов, в том числе и ИТ-сектора. Теоретическая значимость заключается в предложенном методологическом подходе разработки ИАС мониторинга развития цифровых технологий и оценки их влияния на динамику структурных сдвигов экономики России, включающей интерфейс, ориентированный на различные группы пользователей и сервис поиска данных с обеспечением удаленного многоаспектного доступа к актуальным данным. Практическая значимость заключается в возможности применения созданной ИАС органами региональной власти с целью повышения эффективности управления экономическими процессами в регионах.
Современные тенденции и перспективные направления осуществления инновационной деятельности в Белгородской области
Authors: Малыхина Ирина Олеговна , Широкий Иван Витальевич
Published: July 2024

Вопросы осуществления инновационной деятельности в регионе актуальны всегда. В настоящее время, в условиях санкций и внешнего экономического и политического давления перед Российской Федерацией и ее субъектами вопрос обеспечения инновационного развития стоит еще более остро. Необходимо не только воздействие на регионы со стороны государства, но и формирование в регионах собственной инициативы развития. Показатели регионального развития влияют на социально-экономическое развитие национальной экономики. Взаимосвязь целей государственной политики, направленной на обеспечение эффективного развития всех сфер общественной жизни и целей развития региональной экономической системы позволяет охарактеризовать направления инновационного развития. Формирование определенных тенденций играет важную роль в этих процессах. Формирование тенденций – это то, на основе чего в регионе осуществляется дальнейшая любая деятельность, в том числе инновационная, без которой невозможно развитие в общественной, экономической, политической и иных сферах, а, следовательно, невозможно развитие региона и государства в целом. Поэтому вопросы, связанные с определением тенденций развития региона, всегда требуют к себе особого внимания и тщательного изучения, ведь от правильности выбранного пути непосредственно зависит будущее региона и его положение в государстве, которое может либо укрепляться и регион будет одним из ведущих субъектов Российской Федерации, формирующих благосостояние страны либо будет погружаться в состояние рецессии и стагнации. В работе были проанализированы показатели инновационного развития региона и особенности функционирования инновационной системы региона на примере Белгородской области, а также предложены основные и наиболее эффективные тенденции и перспективные направления осуществления инновационной деятельности региона и развития экономической системы на мезоуровне.
Прогнозное моделирование развития рынка кредитования и краудфандинга в условиях увеличения ключевой ставки Банка России
Authors: Карловская Евгения Анатольевна , Ваганова Оксана Валерьевна , Мельникова Наталия Сергеевна , Быканова Наталья Игоревна
Published: July 2024

При создании бизнес-проектов выбор источника финансирования является актуальной проблемой. До недавнего времени банковский кредит являлся одним из наиболее распространённых способов финансирования, при этом он имел ряд недостатков, которые выражались в высокой стоимости кредита и повышенных требованиях к его обеспечению. Сегодня в условиях увеличения ключевой ставки ЦБ РФ кредиты стали менее привлекательны для бизнеса, в связи с чем предприниматели всё чаще обращаются к другим способам привлечения денежных средств в свои проекты. Целью данного исследования является выявление влияния повышения ключевой ставки на развитие рынка финансовых услуг. Для достижения поставленной цели в работе использованы общенаучные и специальные методы исследования: историко-логический метод – при исследовании показателей ключевой ставки ЦБ РФ, объёмов кредитных и краудфандинговых сделок; метод синтеза и системности – при исследовании сущностных характеристик краудфандинга, краудлендинга и краудинвестинга; метод экспоненциального сглаживания – для составления прогноза роста ключевой ставки ЦБ РФ в будущих периодах на основе исторических данных и вычисления размаха доверительного интервала – коридора погрешности, в пределах которого, с заданной вероятностью, прогноз должен сбыться; абстрактно-логический и аналитический методы – для теоретического обобщения и формирования выводов. В статье проведена оценка сущностных характеристик и уровня развития краудфандинга, краудлендинга, краудинвестинга и других инструментов инвестирования в России. Разработан прогноз вероятности влияния ключевой ставки на объёмы выданных кредитов и объёмы краудфандинговых сделок в будущих периодах с помощью экспоненциального сглаживания, что позволяет смоделировать развитие событий в пределах коридора вероятности с точностью 95 %. Для этого были использованы функции программы FORECAST.ETS и FORECAST.ETS CONFINT, в которых выставлены параметры: дата завершения прогноза; доверительный интервал; сезонность (среднее значение ключевой ставки за квартал). Доказано, что на уровень предпринимательской активности в стране значительное влияние оказывает ключевая ставка ЦБ РФ. Представленные в статье авторские выводы могут быть использованы в деятельности ЦБ при разработке денежно-кредитной политики.
Оптимизация информационных процессов в области маркетинговых исследований с применением технологий искусственного интеллекта
Authors: Салтанаева Елена Андреевна , Васильева Софья Владимировна , Эшелиоглу Раиля Ильдаровна
Published: July 2024

Целью работы является проектирование программного обеспечения для оптимизации информационных процессов в области маркетинговых исследований. Авторами определен один из главных ресурсов, который повышает конкурентоспособность организаций, произведен анализ области применения маркетинговых исследований, определена сущность маркетинговых исследований. Одной из ключевых инфокоммуникационных технологий является машинное обучение, которое позволяет выявлять скрытые закономерности и паттерны. Описаны технические средства для реализации программного обеспечения, приведено основание применения технологий искусственного интеллекта и машинного обучения. Технология геоаналитики позволяет компаниям понимать местоположение своих клиентов, их предпочтения и поведение в зависимости от места проживания. Спроектировано приложение, написанное на языке программирования Python, с использованием среды PyCharm и JupyterNotebook, описано использование библиотек, например, pandas, csv, streamlit, streamlit_folium.
Оптимизация передачи сообщений в сетевых информационных системах
Authors: Сумин Виктор Иванович , Лукин Михаил Алексеевич
Published: July 2024

В статье для сетевой информационной системы анализировалась маршрутизация сообщений с использованием ориентированного графа, для которого в соответствии с задаваемыми требованиями и ограничениями определялось множество двухсторонних связей для каждой пары узлов оконечных через узлы транзитные. Процесс формализации передачи сообщений в сетевых информационных системах осуществляется с использованием теории графов с задаваемыми требованиями и ограничениями. В данной статье используется группа ограничений, которая включают структуру и длину маршрута. На основании предложенного метода определяется связь количество и длины маршрутов в зависимости от степени связности графа этой сети. В статье приведена лемма, на основе которой определяется множество всех маршрутов передачи сообщений в соответствии с задаваемыми ограничениями маршрутов передачи сообщений.
The Appeal of the Adult and Elderly Population to the State Dental Clinic
Authors: Kireev Vladimir V. ,   State budgetary institution of the Rostov region «Dental clinic» in Rostov-on-Don, Sevbitov Andrei V. , Dorofeev Aleksei E. , Kuznetsova Maria Yu. , Kabirova Alina M. ,   I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University),   I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University),   I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University),   I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)
Published: July 2024

The main form of providing dental care to the population remains the provision of access assistance. Its proper organization makes it possible to increase the volume and, to a certain extent, the quality of dental care to the population. The aim of the work was to determine the volume of visits of the adult and elderly population to the GBU RO «SP» in Rostov-on-Don in the period from 2021 to 2023. Materials and methods. The study was conducted on the basis of the GBU RO «Dental Clinic» in Rostov-on-Don. A retrospective analysis of patient attendance at the medical surgical and orthopedic departments of the polyclinic was conducted based on the results of annual reports of medical organizations. Results. The number of visits by the elderly population aged 60 years and above in the study period 2021–2023 is on average 26 %, the ratio of primary visits to repeated visits is on average within 1:2.7. The share of preferential visits decreased by 2.4 % compared to 2021. Conclusions. Public dental clinics are competitive with private medical institutions.
Смешанная задача о вынужденных колебаниях ограниченной струны при нестационарных характеристических косых производных в краевых условиях
Authors: Ломовцев Фёдор Егорович , Точко Татьяна Сергеевна
Published: July 2024

Приведены явные рекуррентные формулы единственного и устойчивого классического решения характеристической смешанной задачи для неоднородного простейшего уравнения колебаний ограниченной струны. Для любого момента времени в характеристических граничных условиях на концах струны косые производные с зависящими от времени коэффициентами направлены вдоль критических характеристик уравнения. Выведен критерий корректности этой смешанной задачи, т.е. необходимые и достаточные требования гладкости и условия согласования характеристических граничных условий с начальными условиями и уравнением колебаний струны для существования, единственности и устойчивости её классических решений. Вывод условий согласования существенно использует новое понятие критериальных значений суммы старших производных от правой части уравнения.Эти результаты получены известным методом вспомогательных смешанных задач для полуограниченной струны,который не требует явных периодических продолжений данных смешанных задач вне множеств их определения.
Internal Controls, Frauds in the Nigerian Banking Industry
Authors: N. N. Samuel , C. E. Remigius , A. A. Uduimoh
Published: July 2024

The study examined the management of fraud and internal controls in the Nigerian banking industry. Two research hypotheses were raised. The study employed a descriptive survey method as the research design. Data used for this study were collected mainly from both primary sources. The data collected through the use of questionnaires were analyzed using the Pearson Chi-square contingency test with the SPSS statistical tool (SPSS version 22). The findings revealed that in most banking industries today, fraud is seen as a normal thing that cannot be avoided, prevented or even detected. Proper steps have been totally ignored. Fraudulent activities affect the organization, the employees, their families and subsequently the economy. It can be deduced that there are control measures that can greatly help if applied properly and effectively. This can help put fraud under control and even detect all fraudulent activities. The study recommended that banks should ensure that there should be appropriate authorization and approval by the opposite person of all transactions of the operations of the bank. Banks should make sure there are adequate supervisory controls by the management. These are the controls exercised by management outside the day-to-day routine of the system.
CSR Performance of Listed Firms: Booster to Nigerian Economy (2012-2021)
Authors: N. N. Samuel , A. A. Uduimoh
Published: July 2024

This paper examines the relationship between corporate social responsibility and financial performance of listed companies in Nigeria. The study used correlational research designs within positive accounting theory. The study utilized secondary data collected from the annual report and accounts of twenty-three (23) sampled listed companies for a period of 10 years (2012-2021). The sample of the companies was arrived at using census sampling technique in which all the elements of the population were used for the study. The data were analyzed using regression analysis (GLS Fixed Effect) with the aid of Stata Version 14.0. The study concludes that the involvement in CSR is also one way of meeting the requirement for good citizenship where a company is expected to be socially responsible to the environment in which it operates. The study therefore recommends, among others, that regulatory authorities such as SEC and NSE should improve on their monitoring and supervisory functions to make listed companies in Nigeria to comply strictly with the code of CSR.
Clinical Case Report: Secondary syphilis in a child with no history of sexual abuse
Authors: Fernandes Regina Célia de Souza Campos , Medina-Acosta Enrique
Published: July 2024

This pediatric case report details the diagnostic and therapeutic challenges of secondary syphilis in a six-year-old child presenting with oral lesions and perianal condyloma lata. The diagnosis was confirmed through the Venereal Disease Research Laboratory (VDRL) test, and successful treatment was achieved with benzathine penicillin. The case presented significant diagnostic complexities, necessitating the evaluation of three potential transmission routes: late congenital syphilis, sexual abuse, and non-sexual transmission. Late congenital syphilis was excluded based on the absence of typical symptoms such as bone and dental abnormalities and neurosensorial deafness. Sexual abuse was thoroughly investigated and ruled out following an extensive four-month evaluation by a multidisciplinary team comprising a psychologist, nurse, social worker, and pediatric infectious disease specialist. Ultimately, non-sexual transmission, likely from an untreated family member, emerged as the most plausible cause, supported by the observation of overcrowded living conditions and inadequate hygiene practices in the child's environment. This case underscores the necessity of comprehensive diagnostic evaluations, including consideration of all possible transmission routes, in managing pediatric syphilis. Public health interventions focusing on improving living conditions and hygiene practices are essential to prevent similar cases.
Key aspects of personal brand identity in social media commerce: Impact on successful personal branding
Authors: Kongsri Nichanan , Jaroenwanit Pensri
Published: July 2024

This study explores the factors influencing personal brand identity and their impact on successful personal branding. It examines the positive influence of social media usage, self-expression, professionalism, and self-disclosure on personal brand identity, while also considering the inconsistent findings regarding the role of self-efficacy. The study finds that social media usage, self-expression, professionalism, and self-disclosure play crucial roles in developing a strong personal brand identity, which is essential for achieving successful personal branding. However, the findings on self-efficacy's influence on personal brand identity are inconsistent with previous research. This study contributes to the understanding of personal brand identity and provides valuable insights for individuals and organizations seeking to develop and maintain strong personal brands.
Beyond the swipe: Understanding the power of TikTok marketing-interaction, entertainment, and trendiness in shaping purchase intentions
Authors: Handranata Yunita Wijaya , Herlina Maria Grace , Soendoro Leticia , Kamiliya Qori
Published: July 2024

This study investigates the relationship between interaction, entertainment, trendiness, brand engagement, and purchase intention in the context of TikTok as a social media platform. Using a quantitative research approach, online questionnaires were distributed to 197 respondents who met specific criteria, including active usage of TikTok and being under 45 years old. The data collection period spanned from March 2023 to May 2023. Data analysis was conducted using variance-based structural equation modeling (PLS-SEM 4.0). The independent variables in the study are interaction (X1), entertainment (X2), and trendiness (X3), with brand engagement (Z) serving as the mediator variable and purchase intention (Y) as the dependent variable. The results revealed that interaction, entertainment, and trendiness significantly positively affect purchase intention, with brand engagement playing a moderating role in this relationship. This study sheds light on the influence of TikTok content attributes on consumers' purchase intention and underscores the importance of brand engagement as a key factor in shaping their purchasing decisions.
The role of artificial intelligence in developing the accounting system in Jordanian Islamic banks
Authors: Al-Jarrah Mefleh Faisal Mefleh , Badarin Abdalla Mohammad khalaf Al , Almohammad Mohammad Zuhier Abdallah
Published: July 2024

The current study aims to determine the role of artificial intelligence (AI) in developing the accounting system (AS) in Jordanian Islamic banks. Currently, Islamic banks in Jordan are included in the research population. Using a quantitative research approach, 128 workers of Islamic banks in Jordan were chosen as a sample for this study. The study used a survey questionnaire instrument that was created based on past relevant literature and studies to collect the required data. The results indicated that there is an influence of AI (big data, intelligent agents, expert systems and automation processes) on the development of the AS in Jordanian Islamic banks. Accordingly, the study recommends that to improve AS tasks and reduce associated costs, accountants and accounting companies should always increase their understanding of artificial intelligence.
Impact of live stream marketing on Saudi online consumers trust
Authors: Oraini Badrea Al
Published: July 2024

The aim of this study is to identify the impact of live stream marketing on consumer trust. Data was collected using a questionnaire developed based on prior works and administered electronically to consumers who use live stream marketing before making their purchasing decisions in Saudi Arabia. A total of 350 responses were used for data analysis purposes, which was carried out via SmartPLS 4.0 software. The findings of the study demonstrate a significant and positive impact of live stream marketing as conceptualized in terms of five dimensions (information, attractiveness, entertainment, expert, and social interaction) on consumer trust. In accordance with the research's findings, researchers advise live stream marketers to learn everything they can about the things they are selling because doing so will enable customers to make well-informed choices.
Building relationships on Instagram: Enhancing customer engagement and visit intentions in restaurant
Authors: Alboji Muhannad , Topal Sabri Öz, Bahattin Gökhan , Gökçek Turgut
Published: July 2024

The study examines how Instagram interactions impact customer response in the restaurant context using the Stimulus-Organism-Response (SOR) framework. It explores how interactions on Instagram influence customers' intention to visit a restaurant, online engagement (OEG), and customer involvement (CI). The study highlights the significance of Instagram as a platform for effective interaction and relationship-building with customers, emphasizing its role in the hospitality industry. The study focuses on restaurant pages on Instagram, utilizing structural equation modeling to analyze data from a sample of 242 Instagram users in Turkey who are restaurant customers. The findings reveal that social media (SM) interactions are positively and significantly related to OEG, CI, and visit intention (VI). Furthermore, the results suggest that OEG and CI mediate the relationship between social media interactions (SMI) and VI, supporting the hypotheses concerning the indirect relationships between these variables. This research contributes to understanding SM dynamics and provides insights for restaurant marketers to enhance customer engagement and drive business growth.
Detecting DDoS attacks using machine learning algorithms and feature selection methods
Authors: Almaiah Mohammed Amin , Alrawashdeh Rana , Alkhdour Tayseer , Al-Ali Romel , Rjoub Gaith , Aldahyani Theyazan
Published: July 2024

A Distributed Denial of Service (DDoS) attack occurs when an attacker tries to disrupt a network, service or website by flooding huge numbers of packets on the internet traffic. Detecting DDoS attacks serves the goal of spotting and addressing them promptly to reduce their effects on the network, system or service being targeted. Detecting Distributed Denial of Service (DDoS) attacks is crucial, for people, companies and network managers. The detection of DDoS attacks has ranging uses in industries such as network security safeguarding websites, managing cloud services ensuring the security of online systems and services. Detecting DDoS attacks is essential for safeguarding infrastructure upholding service availability and guaranteeing the security of online systems and services. To achieve this objective, we proposed a framework to detect DDoS attacks including six steps. In step one, we start by gathering information, which includes network activity and system records, for operations as well as instances of DDoS attacks. Step two, we identify characteristics of the data collected such as patterns in network traffic, packet details, IP addresses, types of protocols used and more. Step three, we utilize algorithms for feature selection such as Salp Swarm Algorithm (SSA), Gray Wolf Algorithm (GWA), Particle Swarm Algorithm (PSO) to pinpoint the features that can distinguish between normal activities and DDoS attack patterns. After that in step four, we divide the processed dataset into sections for training and testing purposes to develop and assess the machine learning models such as SVM (support vector machine), and KNN (K-nearest neighbor). Step five we develop a classification model using machine learning techniques like decision trees, forests, support vector machines (SVM) logistic regression models or neural networks. Finally, we assess the effectiveness of models through metrics such as accuracy rates, precision levels, recall rates, and F1 scores. The results show that the proposed models achieve high results (99.9%). In summary detecting DDoS attacks is crucial for protecting networks, systems and online services against disruptions.
An improved multi-stage framework for large-scale hierarchical text classification problems using a modified feature hashing and bi-filtering strategy
Authors: Ado Abubakar , Bichi Abdulkadir Abubakar , Haruna Usman , Almaiah Mohammed , Shawai Yahaya Garba , AlAli Rommel , Alkhdour Tayseer , Aldhyani Theyazn H.H , Al-rawad Mahmoad , Shehab Rami
Published: July 2024

The classification of large-scale textual dataset is associated with a huge number of instances and millions of features which must be discriminated between large numbers of categories. The task requires the utilization of a defined hierarchy structure and tools that automatically classify instances within the hierarchy known as Large Scale Hierarchical Text Classification (LSHTC). Predicting the labels of instances by the employed classifiers is challenging due to the high number of features. Furthermore, the existing Dimensional Reduction (DR) approaches in cooperation with the LSHTC framework are still quite inefficient. In such a problem, an effective Hierarchical Dimensional Reduction approach can be advantageous in improving the performance of the LSHTC. Therefore, in this paper, we enhance the performance of LSHTC by proposing a Multi-stage Hierarchical Dimensional Reduction (MHDR) approach based on Modified Feature Hashing (MFH) and Hierarchical Bi-Filtering (HBF) method. In addition to alleviating bad collision and result discrepancy, experimental results show that the proposed approach has achieve the best performance in terms of micro-f1 and macro-f1 by recording average scores of 58.47% and 54.77% using TD-SVM, and average scores of 51.14% and 48.70% using TD-LR, respectively. The method also achieved 11% speed-up than the approaches compared.
The effect of a teaching program based on cloud computing in developing writing skills among autistic students
Authors: Khasawneh Mohamad Ahmad Saleem
Published: July 2024

The main objective of this study was to examine the effectiveness of a teaching program utilizing cloud computing in enhancing the writing skills of students with autism. The research comprised a group of kids diagnosed with ASD who attended schools situated in the Al-Mafraq Governorate. The initial intention was for the experiment to last for a duration of 30 days. A total of 30 students were included in the study, with 15 students randomly assigned to the experimental group and the remaining 15 students assigned to the control group. Following the implementation of the intervention, the experimental group demonstrated a higher level of performance on assessments measuring language and content abilities compared to the control group. There were no significant differences seen in the writing proficiency scores of the experimental group, both at the follow-up assessment and immediately after the intervention.
Determinants affecting the intention to adopt financial technology
Authors: Gharaibeh Malik Khlaif
Published: July 2024

Recently, due to the tremendous development in information and communication technology, the world is moving rapidly towards digitization in all areas of life. In the financial context, Financial Technology (Fintech) has the potential to transform the financial sector by offering innovative digital solutions, but its adoption depends on various individual, organizational, and environmental factors. This research paper aims to identify and analyze the determinants that influence the intention to adopt fintech. A self-administered survey was utilized to collect the necessary data. Data were analyzed using SPSS version 26 for descriptive analysis as well as SmartPLS version 3.0 by implementing the PLS algorithm and Bootstrapping techniques. This study finds that intention to adopt Fintech is affected by perceived usefulness, perceived ease of use, trust, social influence, and facilitating conditions. This study also examined the relationships between these variables. The findings will provide insights for fintech stakeholders, policymakers, and researchers to foster a conducive environment for Fintech adoption and usage.