bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of total phenolic content and antioxidant activity of mahogany seed infusion (Swietenia mahagoni (L.) Jacq.)
Authors: Pratiwi Sindi , Emelda Emelda , Kusumawardani Nurul , Munir Muhammad Abdurrahman , Azizah Abibatul , Pothitirat Werayut
Published: December 2024

Background: The mahogany plant (Swietenia mahagoni) is a plant used in medicine. Mahogany seeds are also efficacious as antiseptics, antioxidants, and antimicrobials. This plant contains flavonoids, saponins, tannins, essential oils, alkaloids, and anthraquinones. The higher the phenolic content in a plant, the higher the antioxidant activity. According to previous studies, it was stated that the methanol extract of mahogany seeds has good antioxidant properties, and the phenolic compounds contained in mahogany seeds can be the main contributors to antioxidant activity.

Objective: This study aims to analyze the total phenolic content, measure the inhibition concentration 50% (IC50) and determine the antioxidant activity of mahogany (Swietenia mahagoni) seed infusion.

Method: This type of research is experimental which begins with extraction using the infusion method at a temperature of 900C for 15 minutes followed by measuring the total phenolic content by reacting the infusion preparation and the Gallic acid respectively with the Follin-ciocalteu reagent. The antioxidant activity test was carried out using the DPPH (,-diphenyl--picrylhydrazyl) free radical scavenging method. Each absorbance was measured using UV-Vis Spectrophotometry. The phenolic test was measured by making a linear regression between concentration and absorbance, followed by calculating the total phenolic content. Meanwhile, the absorbance obtained for the antioxidant test was calculated by calculating the percent inhibition. The IC50 is determined by calculating the linear regression of the relationship between concentration and percent inhibition.

Result: The results of the phenolic content were 2.531 ± 0.029 mg GAE/g, the IC50 value for gallic acid was 5.54 ppm, and for mahogany seed extract, the IC50 value was 47.04 ppm, which is a very strong antioxidant.

Conclusion: This study concluded that the phenolic content of mahogany seed infusion extract contained phenolic compounds equivalent to 2.531 ± 0,029 mg GAE/g of gallic acid and that mahogany seed extract had very strong antioxidant activity.
Machine Learning–Based Suicide Risk Prediction Model for Suicidal Trajectory on Social Media Following Suicidal Mentions: Independent Algorithm Validation
Authors: Kaminsky Zachary , McQuaid Robyn J , Hellemans Kim GC , Patterson Zachary R , Saad Mysa , Gabrys Robert L , Kendzerska Tetyana , Abizaid Alfonso , Robillard Rebecca
Published: December 2024

Background

Previous efforts to apply machine learning–based natural language processing to longitudinally collected social media data have shown promise in predicting suicide risk.

Objective

Our primary objective was to externally validate our previous machine learning algorithm, the Suicide Artificial Intelligence Prediction Heuristic (SAIPH), against external survey data in 2 independent cohorts. A second objective was to evaluate the efficacy of SAIPH as an indicator of changing suicidal ideation (SI) over time. The tertiary objective was to use SAIPH to evaluate factors important for improving or worsening suicidal trajectory on social media following suicidal mention.

Methods

Twitter (subsequently rebranded as X) timeline data from a student survey cohort and COVID-19 survey cohort were scored using SAIPH and compared to SI questions on the Beck Depression Inventory and the Self-Report version of the Quick Inventory of Depressive Symptomatology in 159 and 307 individuals, respectively. SAIPH was used to evaluate changing SI trajectory following suicidal mentions in 2 cohorts collected using the Twitter application programming interface.

Results

An interaction of the mean SAIPH score derived from 12 days of Twitter data before survey completion and the average number of posts per day was associated with quantitative SI metrics in each cohort (student survey cohort interaction β=.038, SD 0.014; F4,94=3.3, P=.01; and COVID-19 survey cohort interaction β=.0035, SD 0.0016; F4,493=2.9, P=.03). The slope of average daily SAIPH scores was associated with the change in SI scores within longitudinally followed individuals when evaluating periods of 2 weeks or less (ρ=0.27, P=.04). Using SAIPH as an indicator of changing SI, we evaluated SI trajectory in 2 cohorts with suicidal mentions, which identified that those with responses within 72 hours exhibit a significant negative association of the SAIPH score with time in the 3 weeks following suicidal mention (ρ=–0.52, P=.02).

Conclusions

Taken together, our results not only validate the association of SAIPH with perceived stress, SI, and changing SI over time but also generate novel methods to evaluate the effects of social media interactions on changing suicidal trajectory.
mHealth Apps for Dementia Caregivers: Systematic Examination of Mobile Apps
Authors: Zou Ning , Xie Bo , He Daqing , Hilsabeck Robin , Aguirre Alyssa
Published: December 2024

Background

Informal caregivers of persons living with dementia are increasingly using mobile health (mHealth) apps to obtain care information. mHealth apps are seen as promising tools to better support caregivers’ complex and evolving information needs. Yet, little is known about the types and quality of dementia care information that these apps provide. Is this information for caregivers individually tailored; if so, how?

Objective

We aim to address the aforementioned gaps in the literature by systematically examining the types and quality of care-related information provided in publicly available apps for caregivers of persons living with dementia as well as app features used to tailor information to caregivers’ information wants and situations.

Methods

In September 2023, we used a multistage process to select mobile apps for caregivers of persons living with dementia. The final sample included 35 apps. We assessed (1) types of dementia care information provided in the apps, using our 3-item Alzheimer disease and related dementias daily care strategy framework, which encompasses educational information, tangible actions, and referral information; (2) quality of apps’ care information, using the 11 indicators recommended by the National Library of Medicine; and (3) types of tailoring to provide personalization, feedback, and content matching, which are common tailoring strategies described in the literature.

Results

Educational information was the most prevalent type of information provided (29/35 apps, 83%), followed by information about tangible actions (18/35, 51%) and referrals (14/35, 40%). All apps presented their objectives clearly and avoided unrealistic or emotional claims. However, few provided information to explain whether the app’s content was generated or reviewed by experts (7/35, 20%) or how its content was selected (4/35, 11%). Further, 6 of the 35 (17%) apps implemented 1 type of tailoring; of them, 4 (11%) used content matching and the other 2 (6%) used personalization. No app used 2 types of tailoring; only 2 (6%) used all 3 types (the third is feedback).

Conclusions

Existing dementia care apps do not provide sufficient high-quality, tailored information for informal caregivers. Caregivers should exercise caution when they use dementia care apps for informational support. Future research should focus on designing dementia care apps that incorporate quality-assured, transparency-enhanced, evidence-based artificial intelligence–enabled mHealth solutions for caregivers.
Effectiveness of Virtual Simulations Versus Mannequins and Real Persons in Medical and Nursing Education: Meta-Analysis and Trial Sequential Analysis of Randomized Controlled Trials (Preprint)
Authors: Jiang Nan , Zhang Yuelun , Liang Siyu , Lyu Xiaohong , Chen Shi , Huang Xiaoming , Pan Hui
Published: December 2024

BACKGROUND

Virtual simulation (VS) is a developing education approach with the recreation of reality using digital technology. The teaching effectiveness of VSs compared to mannequins and real persons (RPs) has never been investigated in medical and nursing education.

OBJECTIVE

This study aims to compare VSs and mannequins or RPs in improving the following clinical competencies: knowledge, procedural skills, clinical reasoning, and communication skills.

METHODS

Following Cochrane methodology, a meta-analysis was conducted on the effectiveness of VSs in pre- and postregistration medical or nursing participants. The Cochrane Library, PubMed, Embase, and Educational Resource Information Centre databases were searched to identify English-written randomized controlled trials up to August 2024. Two authors independently selected studies, extracted data, and assessed the risk of bias. All pooled estimates were based on random-effects models and assessed by trial sequential analyses. Leave-one-out, subgroup, and univariate meta-regression analyses were performed to explore sources of heterogeneity.

RESULTS

A total of 27 studies with 1480 participants were included. Overall, there were no significant differences between VSs and mannequins or RPs in improving knowledge (standard mean difference [SMD]=0.08; 95% CI –0.30 to 0.47; I2=67%; P=.002), procedural skills (SMD=–0.12; 95% CI –0.47 to 0.23; I2=75%; P<.001), clinical reasoning (SMD=0.29; 95% CI –0.26 to 0.85; I2=88%; P<.001), and communication skills (SMD=–0.02; 95% CI: –0.62 to 0.58; I2=86%; P<.001). Trial sequential analysis for clinical reasoning indicated an insufficient sample size for a definitive judgment. For procedural skills, subgroup analyses showed that VSs were less effective among nursing participants (SMD=–0.55; 95% CI –1.07 to –0.03; I2=69%; P=.04). Univariate meta-regression detected a positive effect of publication year (β=.09; P=.02) on communication skill scores.

CONCLUSIONS

Given favorable cost-utility plus high flexibility regarding time and space, VSs are viable alternatives to traditional face-to-face learning modalities. The comparative effectiveness of VSs deserves to be followed up with the emergence of new technology. In addition, further investigation of VSs with different design features will provide novel insights to drive education reform.

CLINICALTRIAL

PROSPERO CRD42023466622; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=466622
Strategies to Implement a Community-Based, Longitudinal Cohort Study: The Whole Communities-Whole Health Case Study (Preprint)
Authors: Bouchacourt Lindsay , Smith Sarah , Mackert Michael , Almalki Shoaa , Awad Germine , Barczyk Amanda , Bearman Sarah Kate , Castelli Darla , Champagne Frances , de Barbaro Kaya , Garcia Shirene , Johnson Karen , Kinney Kerry , Lawson Karla , Nagy Zoltan , Quiñones Camacho Laura , Rodríguez Lourdes , Schnyer David , Thomaz Edison , Upshaw Sean , Zhang Yan
Published: December 2024

UNSTRUCTURED

This paper discusses the implementation of the Whole Communities-Whole Health (WCWH) initiative, which is a community-based, longitudinal cohort study. WCWH seeks to better understand the impact of location on family health and child development while also providing support for families participating in the study. Implementing a longitudinal study that is both comprehensive in the data it is collecting and inclusive in the population it is representing is what makes WCWH extremely challenging. This paper highlights the learning process the initiative has gone through to identify effective strategies for implementing this type of research study and work toward building a new model for community-engaged research. Through iterative testing following the Plan-Do-Study-Act model, three main strategies for implementation were identified. These strategies are (1) creating a data collection schedule that balances participant burden and maintains temporality across data types; (2) facilitating multiple opportunities for qualitative and quantitative input from faculty, families, and nonparticipant community members; and (3) establishing an open-door policy for data analysis and interpretation. This paper serves as a guide and provides resources for other researchers wanting to implement a multidisciplinary and community-based cohort study.
Shaping the Future of HIV Self-Testing in Sub-Saharan Africa: Leveraging Predictive Modeling to Overcome Barriers and Enhance Targeted Interventions (Preprint)
Authors: Anyiam Felix Emeka , Sibiya Maureen Nokuthula , Oladimeji Olanrewaju
Published: December 2024

UNSTRUCTURED

The use of predictive modeling in HIV prevention is gaining traction in Sub-Saharan Africa (SSA), particularly for enhancing HIV self-testing (HIVST) among underserved populations. Implementing predictive models to target HIVST interventions presents both opportunities and challenges, requiring culturally sensitive approaches and ethical considerations in data use. This Viewpoint explores the application of Random Forest (RF) and Classification and Regression Tree (CART) models to identify high-risk groups and optimize HIVST outreach. It highlights key considerations and lessons for practitioners in balancing technological innovation with community engagement and inclusivity to strengthen HIV response strategies across SSA.
Assessing the Influence of Seasonal and Climatic Variations on Livestock Tick Incidence in Tehran Province, Iran (Preprint)
Authors: Abbasi Ebrahim
Published: December 2024

BACKGROUND

Ticks are well-known ectoparasites of domestic animals, causing significant economic losses and playing a crucial role in the transmission of pathogens within the livestock industry worldwide, including in Iran. Understanding the distribution and diversity of ticks is essential for effective control strategies, especially in regions like Tehran Province, where livestock plays a vital role in the economy.

OBJECTIVE

This study aimed to determine the frequency and distribution of livestock ticks across different seasons and climatic zones in Tehran Province.

METHODS

In 2019, 1,623 livestock and poultry, including chickens, sheep, camels, cows, pigeons, and dogs, infected with ticks were examined. A total of 806 ticks were collected, comprising 121 soft ticks and 685 hard ticks. Tick species were identified and categorized based on their occurrence in mountainous and plain climatic regions.

RESULTS

Fourteen tick species were identified, including: Soft ticks: Argas persicus, Argas reflexus, Ornithodoros lahorensis. Hard ticks: Boophilus annulatus (Rhipicephalus (Boophilus) annulatus), Hyalomma asiaticum, Hyalomma marginatum, Hyalomma dromedary, Hyalomma anatolicum, Hyalomma detritus, Haemaphysalis sulcata, Haemaphysalis echinacea, Haemaphysalis inermis, Rhipicephalus bursa, and Rhipicephalus sanguineus. The most prevalent species was R. sanguineus (36.97%), while the least frequent was R. (B.) annulatus (0.37%). Other species with notable frequencies included A. persicus (11.53%) and Hy. marginatum (18.85%). In terms of distribution, 44.78% of ticks were collected from mountainous regions, while 55.21% were found in plain regions, indicating a higher prevalence in plains.

CONCLUSIONS

The study highlights the significant diversity and abundance of both soft and hard ticks in poultry and livestock across various regions of Tehran Province. These findings emphasize the need for targeted tick control measures, considering the differences in tick distribution between mountainous and plain climates.

CLINICALTRIAL

Not applicable.
Digital Health Interventions to Improve Mental Health in Patients With Cancer: Umbrella Review (Preprint)
Authors: Zhong Chuhan , Luo Xian , Tan Miaoqin , Chi Jing , Guo Bingqian , Tang Jianyao , Guo Zihan , Deng Shisi , Zhang Yujie , Wu Yanni
Published: December 2024

BACKGROUND

Mental health plays a key role across the cancer care continuum, from prognosis and active treatment to survivorship and palliative care. Digital health technologies offer an appealing, cost-effective tool to address psychological needs.

OBJECTIVE

This umbrella review aims to summarize and evaluate the available evidence on the efficacy of digital health interventions for improving mental health and psychosocial outcomes for populations with cancer.

METHODS

Literature searches were conducted in Embase, PsycINFO, PubMed, CINAHL, the Cochrane Library, and Web of Science from their inception to February 4, 2024. Systematic reviews (with or without meta-analysis) investigating the efficacy of digital health interventions for psychosocial variables in patients with cancer were included. Quality was assessed using the Assessing the Methodological Quality of Systematic Reviews-2 tool.

RESULTS

In total, 78 systematic reviews were included in this review. Among diverse delivery modalities and types of digital interventions, websites and smartphone apps were the most commonly used. Depression was the most frequently addressed, followed by quality of life, anxiety, fatigue, and distress. The qualities of the reviews ranged from critically low to high. Generally, despite great heterogeneity in the strength and credibility of the evidence, digital health interventions were shown to be effective for mental health in patients with cancer.

CONCLUSIONS

Taken together, digital health interventions show benefits for patients with cancer in improving mental health. Various gaps were identified, such as little research specifically focusing on older adult patients with cancer, a scarcity of reporting high-precision emotion management, and insufficient attention to other certain mood indicators. Further exploration of studies with standardized and rigorous approaches is required to inform practice.

CLINICALTRIAL

PROSPERO CRD42024565084; https://tinyurl.com/4cbxjeh9
Effectiveness of AI-driven Conversational Agents in Improving Mental Health Among Young People: A Systematic Review and Meta-analysis (Preprint)
Authors: Hang Yaming , Wu Wenzhi , Feng Yi , Song Xiaohang , Xiao Xiyao , Qiao Zhihong
Published: December 2024

BACKGROUND

The increasing prevalence of mental health issues among adolescents and young adults, coupled with barriers to accessing traditional therapy, has led to growing interest in artificial-intelligence-driven (AI-driven) conversational agents (CAs) as a novel digital mental health intervention. Despite accumulating evidence suggesting the effectiveness of AI-driven CAs for mental health, there is still limited evidence on their effectiveness for different mental health conditions in adolescents and young adults.

OBJECTIVE

This study aims to examine the effectiveness of AI-driven Conversational Agents for mental health among young people.

METHODS

Five main databases (PubMed, PsycINFO, EMBASE, Cochrane Library, and Web of Science) were searched systematically, resulting in fifteen articles (including 16 randomized controlled trials) involving 1,974 participants. The quality of these studies, possible publication bias and moderators were then examined.

RESULTS

The results indicated a moderate-to-large (Hedges’ g = 0.60) effect of AI-driven CAs on reducing depressive symptoms, particularly in subclinical populations. However, their effectiveness in addressing other health issues, such as anxiety and stress, was not significant (p > 0.05).

CONCLUSIONS

The findings highlight the potential of AI-driven CAs for early intervention in depression among this population, and underscore the need for further improvements to enhance their efficacy across a broader range of mental health outcomes.
Development of Aplikasi Satu Data Kesehatan (ASDK) on Key Performance Indicator of District Health Office of Kulon Progo Using DHIS2
Authors: Pratama Rio Aditya
Published: December 2024

A significant number of health applications have been developed at various levels, including primary care, hospitals, district and provincial health offices, private sectors, and the national level, resulting in the fragmentation of health data at primary health center level. This situation has prompted the government released Ministerial Regulation No. 18 of 2022 on “One health data” to address the fragmentations. While digital health transformation focuses on individual health services through the digital technology, the one health data focuses on data integration, analysis, visualization, and cross-sectoral utilization of health data. We proposed the use of an open-source technology to facilitate the process of data integration in district level to achieve “one health data”. District Health Information Software 2 (DHIS2), an open-source application was introduced to the district health office as data warehousing, data management, data analysis, data validation, visualization dan information sharing. DHIS2 was used to mitigate health data fragmentation in District Health Office of Kulon Progo that has been struggle since 2018 to integrate a number of routine health data from different programs. Assisted by the Department of Health Policy and Management at the Faculty of Medicine, Public Health, and Nursing, DHIS2 was implemented incrementally that involves a number of data manager at district and primary health care level. The data integration referred as Aplikasi Satu Data Kesehatan (ASDK) Kulon Progo. The objective of ASDK Kulon Progo includes data integration, health program monitoring, evaluation, and support for the development of data-driven policies. In 2022, the Department of Health Policy and Management FK-KMK UGM together with alumni and students facilitated the implementation of ASDK in Kulon Progo as part of the community service program targeting organization that serve community.
КОНТАКТИРУЮЩИЕ УСТРОЙСТВА ДЛЯ ТЕСТИРОВАНИЯ И ИСПЫТАНИЙ ЭКБ – НАДЕЖНЫЕ РЕШЕНИЯ ОТ КОМПАНИИ «АЙСИ СОКЕТ»
Authors: Капшунова Ю. , Колочков С.
Published: December 2024

В современном мире высоких технологий, где микроэлектроника
занимает одно из ключевых мест, компания “АйСи Сокет” является
одним из ведущих разработчиков и производителей высококачественных
контактирующих устройств для испытаний микросхем.
КОМПАНИЯ KingTech – НОВЫЙ ЭКСПЕРТ В ОБЛАСТИ ПРОИЗВОДСТВА TFT ЖК-ДИСПЛЕЕВ
Authors: Павленко А.
Published: December 2024

Дисплеи являются неотъемлемой частью нашей повседневной
жизни. Они присутствуют во множестве устройств, начиная
от наших смартфонов и планшетов и заканчивая большими
телевизорами и мониторами. Современный рынок электронного
оборудования предлагает потребителю широкий выбор электронных
дисплеев, отличающихся производственным качеством, высокими
техническими и эксплуатационными характеристиками и большим
рабочим функционалом. При этом производители дисплейной
продукции поставлены в жесткие условия конкуренции по продвижению
своей продукции в различные сферы электроники, ввиду постоянного
повышения критериев качества и надежности к устройствам
отображения. На сегодняшний день в наиболее полной мере отвечают
всем современным техническим требованиям, предъявляемым
к данному виду изделий, жидкокристаллические дисплеи с активной
матрицей, произведенные по различным технологиям с использованием
тонкопленочных транзисторов (TFT).
В ПОГОНЕ ЗА СОВЕРШЕНСТВОМ: ОТ ГЛУБОКО МАШИННОГО ОБУЧЕНИЯ К ИСКУССТВЕННОМУ ИНТЕЛЛЕКТУ В СИСТЕМАХ ОПТИЧЕСКОЙ ИНСПЕКЦИИ (АОИ) MAKER-RAY. ЧАСТЬ 2
Authors: Рожков И. , Гаранин А. , Подольский Д.
Published: December 2024

По версии словаря английского языка Collins English Dictionary, главным
словосочетанием в 2023 году является аббревиатура AI (искусственный интеллект,
ИИ), означающая «моделирование мыслительных функций человека с помощью
компьютерных программ». По мнению Collins употребление аббревиатуры AI
за год выросло в четыре раза и «стало преобладающим термином в разговорах
в 2023 году». Данный вывод непосредственно касается систем автоматической
оптической инспекции (АОИ) компании Maker-Ray,
которые умеют
самообучаться, выявлять дефекты сборки печатных плат и вместо оператора
способны исключать ложные срабатывания. Для этого потребовалась эволюция
применяемых методов глубокого обучения и дальнейшее развитие программных
инструментов в направлении решения прикладных задач при производстве
электроники – сегодня системы АОИ Maker-Ray
стали, по сути, IT-проектами
по внедрению искусственного интеллекта. В статье описывается проблематика
построения умной системы анализа изображений печатных плат.
A Review on Smart Helmet for Enhance Safety
Authors: Kalli Mr. Vinod. S.
Published: December 2024

Smart helmet technology integrates advanced sensors, communication systems, and real-time processing capabilities to
enhance safety for motorcyclists. This innovative system is designed to detect accidents and provide immediate emergency
response. Equipped with sensors such as accelerometer, gyroscopes, and GPS modules, the helmet continuously monitors
motion, impact, and location. In the event of an accident, the system automatically identifies the severity of the impact and
triggers alerts. A real-time notification, including the rider’s location, is sent to emergency services or per-defined contacts
through wireless communication. Additionally, the smart helmet may feature add-on like voice-assisted navigation, alcohol
detection sensors, and real-time traffic alerts to further enhance safety. By leveraging IoT and AI technologies, smart helmets
aim to reduce response time during emergencies, potentially saving lives and minimizing injury severity. This paper discusses the
design, implementation, and societal impact of smart helmet technology, emphasizing its role in revolutionizing road safety.
Improving Worker Safety in Construction A Data-Driven Approach
Authors: Yousif Mohammed Nasridin
Published: December 2024

Worker safety in the construction industry is a critical concern, given the sector's high rates of accidents and fatalities.
This paper explores a data-driven approach to enhancing worker safety through the integration of advanced technologies such
as Internet of Things (IoT), wearable devices, and Artificial Intelligence (AI). Occupational accidents are frequent in the
construction industry, containing significant risks in the working environment. By leveraging real-time data from smart sensors,
predictive analytics, and machine learning algorithms, construction sites can identify potential hazards, predict risks, and
implement proactive safety measures. The study presents a comprehensive review of existing technologies and their applications
in improving workplace safety. It also discusses the challenges in adopting these technologies, including data privacy, system
integration, and the need for a safety-centric culture. Through case studies and practical insights, this paper highlights how
data-driven approaches can transform traditional safety protocols, significantly reducing accidents and improving overall
workforce well-being. The findings underscore the potential of data analytics in fostering a safer, more efficient construction
industry.
Оптимизация формы тонких упругих оболочек
Authors:   ФГБОУ ВО «НИУ МГСУ», Ступишин Л.Ю. , Колесников А.Г.
Published: December 2024

В монографии рассматриваются актуальные вопросы определения оптимальных форм срединных поверхностей и распределения толщин тонких пологих геометрически нелинейных оболочек на круглом или прямоугольном плане, работающих в упругой стадии деформирования. Строятся основные соотношения, позволяющие исследовать критические нагрузки, предельные величины напряжений и выражения для собственных частот колебаний оболочек, имеющих переменную форму срединной поверхности и переменную толщину. Граничные условия представлены в виде упругого защемления, позволяющего моделировать широкий спектр типов опирания оболочек. Использование метода Бубнова – Галеркина позволило добиться хорошего совпадения результатов определения критических нагрузок, напряжений и собственных частот как для изотропных, так и для ортотропных оболочек с известными из литературы.
Даны положения теории оптимального проектирования строительных конструкций, позволяющие получить основные сведения о постановках задач и методах их решения.
Показаны причины возникновения постановок задач оптимизации конструкций и современные подходы к нахождению оптимальных проектов на основе теории критических уровней внутренней потенциальной энергии конструкций.
Для научно-педагогических работников, аспирантов и обучающихся.
Conflict Resolution in Aceh: A Sociological Study of Ecological Sustainability and Palm Oil
Authors: Zainal Suadi , Ilham Iromi , Fakhrurrazi Fakhrurrazi , Arifin Awaludin , Aulia Faizul
Published: December 2024

This article aims to explain the complexity of the realities surrounding the resolution of the conflict that occurred in Aceh, Indonesia related to the transformation of the Aceh Darul Islam movement and ecological sustainability in the development of oil palm in Aceh Tamiang Regency. This resolution in the form of oil palm development in Aceh Tamiang was carried out as empowerment of former DI/TII troops to reduce the occurrence of armed conflict in Aceh. On the other hand, the existence of palm oil plantations of former DI/TII troops in Aceh Tamiang raises concern about the reality of the impact of ecological sustainability. This study was carried out using qualitative methods, analyzed using sociological law theory. Data was collected by means of interviews and documentation studies.The results showed that The conflict transformation of the Aceh Darul Islam movement focused on the reintegration of ex-combatants into civil society with an emphasis on social, economic, and political aspects. This process involved economic empowerment, particularly through the oil palm plantation programme, to achieve peace and improve welfare in Aceh. The central government engaged in diplomacy with former DI/TII elites, integrating them in the development of oil palm plantations to maintain stability. Furthermore, it can be asserted that in the perspective of law sociology, the transformation of conflict resolution is the presence of the state that is able to create peace and social harmonisation through ecological sustainability with the release of green land and environmental management. Overall, conflict resolution efforts in the form of economic empowerment, environmental preservation and social order are key elements in building peace and sustainability in Aceh.
School and Family Partnerships: Contribution of Transformational Teachers in Implementing the Autonomous Learning Curriculum Educational Institutions in Bone, Indonesia
Authors: Syarifuddin Samsinar , Tahir Andi , Fatimah Fatimah , Abidin Kurniati , Syarifuddin Fitriyawany
Published: December 2024

This study seeks to investigate the collaboration between schools and families, with a specific focus on the role of transformational teachers in promoting autonomous learning at educational institutions in Bone, South Sulawesi. The interaction between schools and families is undeniably crucial in the development of the three education centers in Indonesia. The study is conducted using a mixed-methods approach, which are examined through the lens of Islamic education philosophy employing a concurrent triangulation strategy model or design. The data were collected through interview, observation, document analysis, and questionnaires. The findings of this study suggest that elementary school teachers in Tanete Riattang Barat District, Bone Regency, have effectively fulfilled their duty as facilitators of learning, and the implementation of the autonomous learning curriculum has been successful. The transformational teacher variable and the implementation variable of the Autonomous Learning Curriculum have a correlation coefficient of 0.75, indicating a strong positive link. The transformational teachers (X) contribute 56.3% to the implementation of the independent learning curriculum (Y) and have a strong impact on the relationship between transformationanl teachers and the implementation of the independent learning curriculum. The collaboration between families and schools, particularly between parents and teachers, has been established through effective communication, since it enhances the educational experience, both within the school environment and at home. In the realm of Islamic Education, both the home and school play a crucial role in shaping the character of children, enabling them to develop into exceptional, self-reliant, patriotic, innovative, and discerning individuals.
Use of Agile Models in Software Engineering: Emerging and Declining Themes
Authors: AY Sevinç
Published: December 2024

Software engineering is a systematic discipline that covers the creation of a software product at the end of software development processes. Many different models are used in software development processes. The most widely used model today is the Agile Approaches model.  Methods that focus on increasing customer orientation and speed in software development projects are considered agile approaches. Agile approaches are used to overcome the limitations of traditional methods such as the waterfall approach and to adapt to constantly changing requirements. Agile approaches increase collaboration in a project team established to develop a software product and contribute to product success by increasing customer satisfaction.
Agile approaches are highly preferred for distributed software development environments and remote teams. The reviewed literature shows that agile approaches increase flexibility and speed of delivery in software engineering projects, but they also bring many difficulties when they are not applied with an expert team in large-scale projects or when they are applied incorrectly. Agile approaches have transformed software engineering processes, prioritizing customer requirements and supporting high quality software development processes. However, factors such as the experience of teams, organizational culture and process management skills are critical for the successful implementation of agile methods. Within the scope of the study, bibliometric analysis was conducted on 1372 data obtained from the Web of Science database. The study provides a roadmap for future applications of agile methods in software engineering.
Visões sobre o Império: discursos sobre o continente Africano nas capas da Revista Visão História, Portugal (2008-2020)
Authors: Oliva Anderson Ribeiro
Published: December 2024

O ensaio analisou os discursos e as representações sobre o continente africano nas capas da revista portuguesa Visão História, publicadas entre os anos 2008 e 2020. Os resultados obtidos, referenciados pelos estudos africanos e culturais, identificaram a existência de dois eixos discursivos hegemônicos. O primeiro revela que o periódico reforçou o imaginário colonial ao concentrar suas reportagens em temas como a montagem do “Império Português”, as “Exposições Coloniais” e a “Guerra Colonial”. O segundo eixo discursivo é composto pelas abordagens que associam a África com a escravidão e pelas representações dos africanos como escravizados, colonizados ou integrantes de sociedades primitivas. Essas ideias se reinscrevem no cotidiano dos leitores e (re)produzem discursos negativos e de inferiorização do continente e de suas populações.
A escrita literária da história: o caso O gaúcho
Authors: Soares Fabrício Antônio Antunes
Published: December 2024

O presente artigo quer examinar como foi operacionalizado, no romance O gaúcho, do escritor José de Alencar, a construção de sentido narrativa da Farroupilha. O período investigado é o terceiro quartel do século XIX e o espaço analisado é o Brasil monárquico. O objetivo é analisar como foi construída a narrativa sobre a Farroupilha no contexto denominado o “Apogeu da monarquia”. O problema que norteia o artigo é saber como a operação literária da história contribuiu para a analisar a construção de sentido da Farroupilha na fonte supracitada, isto é, investigar as relações do romance/fonte com a historiografia e, também, da escrita da história com a escrita da literatura. A partir do exposto, conclui-se que a construção de sentido de O gaúcho ganha em potência interpretativa quando analisada pela operação literária da história e, ao mesmo tempo, comparada com a crítica literária precedente.
Dos espaços associativos à luta por direitos: a experiência associativa entre os trabalhadores da Rocinha na década de 1930
Authors: DA COSTA MARIANA BARBOSA CARVALHO
Published: December 2024

Durante a década de 1930, diversos trabalhadores de baixa renda que se instalaram no bairro operário da Rocinha, situado na zona sul do Rio de Janeiro, protagonizaram um forte movimento associativo voltado para o lazer e a religiosidade. Em sentido oposto aos estudiosos que buscaram em associações de moradores de favela às suas formas de ação política, este artigo pretende compreender as lógicas próprias de atuação dos membros daquelas associações formadas pelos moradores da Rocinha. Trata-se de investigar como a experiência associativa protagonizada por tais sujeitos naquele momento pode ter alimentado a sua organização e mobilização, expressa na sua reivindicação por direitos para o conjunto de moradores locais. A intenção é demonstrar, a partir da análise de jornais, registros cartoriais e testemunhos orais, que essa experiência contribuiu para a construção de redes de solidariedade e a luta por sua cidadania.
Registros de batismo, o complexo pecuária-charqueada e o tráfico de africanos para o Sul do Brasil, 1780-1850
Authors: Matheus Marcelo Santos
Published: December 2024

Este estudo tem como foco a análise do tráfico de africanos para o RS, entre 1780 e 1850. Para tanto, além de um diálogo com pesquisas que trataram da mesma temática, exploramos os registros de batismo das capelas das duas regiões que formavam o complexo pecuária-chaqueada, cuja produção estava conectada com circuitos mercantis mais amplos. Assim, propomo-nos a investigar quantos escravos africanos foram levados às pias batismais, procurando responder: os batismos servem para o estudo desse processo? Para tanto, verificamos o percentual de africanos (frente aos nascidos no Brasil) batizados, o sexo dos mesmos, de que macrorregiões do continente africano eram originários, bem como quais nações mais aparecem. No geral, foram coletados mais de 14 mil registros de batismos. De antemão, é possível afirmar que o percentual de crioulos batizados era muito superior ao de africanos, mesmo em localidades onde o número de africanos, conforme censos demográficos, era superior. Da mesma forma, entre os africanos, havia um predomínio de homens e, também, de batizandos de nações da África Central (Congo, Benguela, Cabinda, etc.), embora o percentual de Mina/Nagôs não seja desprezível, especialmente a partir de meados a década de 1830. Por fim, na falta de documentação mais apropriada, podemos considerar que, sim, os batismos são fontes preciosas para o estudo do tráfico de africanos.
A Tropa de Cera de Vitorino: Os Kanhgág no Paraná nas rotas de cavalos e bois
Authors: Spenassatto Josiéli Andréa , Vander Velden Felipe , Parellada Claudia
Published: December 2024

Entrelaçando museologia, arqueologia e antropologia, este artigo discute um singular conjunto de peças depositado no acervo do Museu Paranaense (MUPA). Trata-se do que chamamos de uma tropa de humanos e animais confeccionada em cera de abelha por um artesão Kanhgág, Vitorino, nos anos de 1940. Pesquisa aprofundada permitiu não apenas reclassificar o conjunto no acervo do MUPA, como complexificar o entendimento sobre sua trajetória, desde o micro-contexto de sua produção e coleta, até o macro-contexto de sua inserção no âmbito das relações entre os Kanhgág no Paraná e os não indígenas invasores de seus territórios. Nosso foco recai, especialmente, no que estes materiais nos dizem sobre as interações dos Kanhgág com os animais domesticados introduzidos e com certos artefatos vinculados ao mundo das fazendas (espingardas, arreios, laços, chapéus). Com isso, exploramos as múltiplas narrativas dos encontros entre indígenas e não indígenas que podem emergir da investigação de materialidades, destacando aspectos ainda pouco discutidos da história das relações interétnicas no Brasil.
Acessibildade, deficiência intelectual e síndrome de down: entre a reivindicação de direitos e a produção de sujeitos
Authors: Lopes Pedro
Published: December 2024

Neste artigo, proponho um percurso por diferentes materiais escritos e imagéticos, produzidos entre os anos de 2012 e 2017 que tinham como foco a acessibilidade para pessoas com deficiência intelectual e que foram realizados, em sua maioria, contando com pessoas com deficiência intelectual como autoras ou parte da equipe de edição. Todas as peças foram produzidas pela Associação Carpe Diem ou pelo Movimento Down, por vezes em parceria com outras organizações. Nessas trilhas, ganham particular atenção os espaços enunciativos ocupados por sujeitos com deficiência intelectual e as mudanças e intervenções de registro discursivo operadas por práticas de acessibilidade. Esses materiais conjugam a produção de um lugar enunciativo de sujeito com a construção de recursos de acessibilidade como demanda de justiça para a participação social. Nesse empenho, procuro ressaltar a acessibilidade como prática, e prática transformativa, que tanto opera sobre a materialidade do mundo e as qualidades das relações, quanto produz o próprio sujeito político que a elabora e reivindica.
The Use of Technology in the Diagnosis and Treatment of Epilepsy: Trends and Open Issues
Authors: Fernandes João , Gaspar Pedro D. , Menino Eva , Caldeira João M. L. P. , Soares Vasco N. G. J.
Published: December 2024

Epilepsy is one of the most common neurological diseases in the world, affecting millions of people. The impact of this disease goes beyond seizures. It has repercussions on the individual’s health and quality of life (i.e., neurological, psychological, and physical consequences) and social inclusion. This article presents a review of the literature and discusses the technological and scientific advances in the diagnosis and treatment of epilepsy. It begins by introducing the related concepts, then analyzes the different technological approaches, exposing their strengths and limitations, and concludes by identifying challenges and open problems for future research.
Road Pavement Damage Detection using Computer Vision Techniques: Approaches, Challenges and Opportunities
Authors: Gonçalves Miguel , Marques Tomás , Gaspar Pedro D. , Soares Vasco N. G. J. , Caldeira João M. L. P.
Published: December 2024

The work presented in this paper is the result of a preliminary research aimed at using computer vision techniques for road pavement damage detection in the context of a smart city. It first introduces the related concepts. Then, it surveys the state of the art and existing solutions, presenting their main features, strengths and limitations. The most promising solutions are identified. Finally, it discusses open challenges and research directions in this area.
Use of wearable chemical sensors in IoT: a systematic literature review
Authors: Do Egito Araujo Carlos Eduardo , Flório Sgobbi Lívia , Bulcão Renato , Gervasio Sene Junior Iwens , Teixeira de Carvalho Sergio
Published: December 2024

Health applications received more attention with the use of the Internet of Things - IoT, due to the use of sensors for remote monitoring, not only in hospital environments but also in domestic environments and in meditative and routine activities. Wearable chemical sensors have been proposed in the health area for the continuous monitoring of the individual's well-being, however, the challenges related to the convergence of these two areas still require a lot of research for the solutions to be effectively applied. This article aims to present the results of a systematic literature review (SLR) carried out to highlight applications that employ the use of wearable chemical sensors in IoT contexts. The results presented several challenges and open questions of a promising research field involving IoT and wearable chemical sensors. The review was performed on the same basis used to make the original SLR, in which the period from December 2021 to February 2023 was adopted as an interval. As a result, in addition to the 15 (fifteen) studies found in the previous SLR, 7 (seven) new articles were classified as relevant, totaling 22 (twenty-two) studies. Regarding the previous.
Machine learning in medicine using JavaScript: building web apps using TensorFlow.js for interpreting biomedical datasets
Authors: Guerra Pires Jorge
Published: December 2024

Contributions to medicine may come from different areas, and most of these areas are filled with researchers eager to contribute. In this paper, we aim to contribute through the intersection of machine learning and web development. We employed TensorFlow.js, a JavaScript-based library, to model biomedical datasets using neural networks obtained from Kaggle. The principal aim of this study is to present the capabilities of TensorFlow.js and promote its utility in the development of sophisticated machine learning models customized for web-based applications. We modeled three datasets: diabetes detection, surgery complications, and heart failure. While Python and R currently dominate, JavaScript and its derivatives are rapidly gaining ground, offering comparable performance and additional features associated with JavaScript. Kaggle, the public platform from which we downloaded our datasets, provides an extensive collection of biomedical datasets. Therefore, readers can easily test our discussed methods by using the provided codes with minor adjustments on any case of their interest. The results demonstrate an accuracy of 92% for diabetes detection, almost 100% for surgery complications, and 80% for heart failure. The possibilities are vast, and we believe that this is an excellent option for researchers focusing on web applications, particularly in the field of medicine.
UnbIAs - Google Translate Gender Bias Mitigation and Addition of Genderless Translation
Authors: Schenkel Vanessa , Mello Blanda , Rigo Sandro José , De Oliveira Ramos Gabriel
Published: December 2024

Machine Learning, increasingly present in everyday life, is subject to bias. These biases not only reflect social inequalities but also reinforce them. The present study seeks to mitigate gender bias in Google Translate, the most used translation system in the world. For this, we created a translation model with high gender accuracy and performed a linguistic analysis with the spaCy tool and entity identification with roBERTa. The Constrained Beam Search technique is used to maintain the sentence structure of the business model, but with the replacement for the correct genre indicated by the created model. The final sentence is the result of an alignment done with the SimAlign tool. In addition, the present study also produces an algorithm so that sentences without gender indication in English present translations with inflection for feminine, masculine, and neutral gender. Our approach yields a BLEU score of 48.39. In relation to Google Translate, the model increased gender accuracy from 68.75 to 70.09, enhanced in 15.7% the score that measures the difference in accuracy between male and female entities, and improved stereotyped translations in 43%.
China no capitalismo contemporâneo
Authors: Barbosa Loiola Isabella , Cunha Leite Alexandre César
Published: December 2024

O livro ¨A China no capitalismo contemporâneo¨ apresenta um olhar sobre o desenvolvimento da China no cenário internacional, através de uma perspectiva econômica, social e política. A obra organizada por Esther Majerowicz e Edmilson Paraná está dividida em três partes, iniciando pela caracterização do desenvolvimento chinês, seguindo pela formação das classes sociais após as reformas de 1978 e última parte está focada na inserção internacional chinesa e na disputa tecnológica entre China e Estados Unidos. As reflexões construídas ao longo da obra mostram a importância da China como peça-chave da geopolítica mundial.