bluuebunny/crossref_metadata_2025 huggingface dataset:
Sokullu Mehmed Paşa’nın Bosna/Vişegrad Kasabasındaki Hayır Eserleri
Authors: Kaçan Erdoğan Meryem
Published: November 2024

16. yüzyılın ikinci yarısına damgasını vuran devlet adamlarından birisi de Sokullu (Şehid) Mehmed Paşa’dır. Üç padişaha veziriazamlık yapan Paşa, idarî hizmetlerinin yanı sıra imar faaliyetlerinde de bulunmuş, üç kıtada çok sayıda eser inşa ettirmiştir. Doğduğu toprakları unutmayan Paşa, eserlerinin bir kısmını Bosna’nın Vişegrad kasabasında vücuda getirmiştir. Burada köprü, han, imaret ve su tesislerini hayata geçiren Sokullu Mehmed Paşa, kasabanın ve çevresinin kısa zamanda büyüyüp gelişmesini sağlamış, böylece tipik bir Osmanlı şehri haline gelmesine zemin hazırlamıştır. Vakıf eserlerinden kasaba halkıyla beraber, İstanbul-Saraybosna yolunu kullanan misafir, yolcu ve tüccarlar da istifade etmiştir. Bu eserlerin sürekliliğini sağlamak amacıyla Macaristan ve Belgrad’daki gelir kaynaklarını tahsis eden Paşa, tamir ve bakımlarının düzenli olarak yapılmasını sağlamıştır. Ancak 17. yüzyılın sonlarına doğru Osmanlı Devleti’nin Avusturya ile yaptığı savaşlar sonucunda önce Macaristan’ın arkasından Belgrad’ın kaybedilmesiyle gelir kaynakları ortadan kalkan vakıf eserler, yavaş yavaş işlevini yitirmeye ve yıkılmaya başlamıştır. Bu süreçten han ve imaret doğrudan etkilenmiş, izleyen yüzyılın ilk yarısında ise tamamen atıl hale gelmiştir. Drina nehri üzerindeki köprü ise savaşlar, isyanlar ve doğal afetlerden etkilenmesine rağmen ayakta kalmayı başarmıştır. Bununla birlikle her iki dünya savaşının köprü üzerinde yıkıcı etkileri olmuş, bazı kemer ve ayakları zarar görmüştür.
Tarihî süreçte pek çok onarımdan geçen köprü, en son Türkiye’nin desteğiyle tamir edilmiştir. Balkanların en güzel eserlerinden biri olan bu eser, hem bânisi Sokullu Mehmed Paşa’nın hem de mimarı Mimar Sinan’ın adını yaşatmaya ve ölümsüzleştirmeye devam etmektedir.
Bu çalışmada arşiv belgelerinden yararlanılarak Sokullu Mehmed Paşa’nın Vişegrad’daki vakıf eserlerinin inşa ve tamir faaliyetleri üzerinde durulmuş, geçmişten günümüze kadar geçirdiği değişimler ele alınmıştır.
Osmanlı Devleti’nin Korfu Şehbenderleri ve Başşehbenderleri
Authors: Ceyhan Gençer Serpil , Kılıç Musa
Published: November 2024

Korfu Adası, Akdeniz ile Adriyatik’i birbirine bağlayan İyon Denizinde bulunmaktadır. Dalmaçya kıyılarına yakın yedi adanın merkezi konumundadır. Yani Korfu Adası hem ticari hem de stratejik açıdan önemli bir noktadadır. Osmanlı Devleti’nin yüzyıllar boyunca Venedik’in elinde bulunan bu adayı fethetme teşebbüsleri sonuçsuz kalmıştı. Fakat 1801 yılında Yedi Ada Cumhuriyeti, Osmanlı Devleti’nin himayesinde kuruldu. Bu dönemde Yedi Ada Cumhuriyeti’nin merkezi olan Korfu’da bir Osmanlı şehbenderliği açıldı. Korfu Şehbenderliği, III. Selim döneminde ilk açılan Osmanlı şehbenderliklerinden biriydi. 1821 Rum İsyanı sırasında diğer Osmanlı şehbenderlikleri gibi Korfu’daki Osmanlı şehbenderliği de kapatıldı. Fakat 1830’larda şehbenderlikler yeniden açılmaya başlandı. 1838 yılında Korfu’daki Osmanlı şehbenderliği yeniden faaliyete geçti. Kısa bir süre sonra baş şehbenderlik statüsüne yükseltildi. II. Meşrutiyet döneminde Osmanlı bürokrasisinde yapılan tensikat uygulamasından Korfu’daki Osmanlı şehbenderliği de etkilendi. Korfu’nun statüsü önce birinci sınıf ardından da ikinci sınıf şehbenderliğe indirildi. Balkan Savaşları sırasında Korfu Osmanlı Şehbenderliği faaliyetlerine son verdi. Balkanların kaybedilmesi ve Arnavutluk’un bağımsızlığını ilan etmesinden sonra Korfu Adası’nın Osmanlı Devleti açısından stratejik önemi kalmamıştı. Bu nedenle Balkan Savaşları sonrasında Korfu Şehbenderliği bir daha açılmayarak lağvedildi.
1838-1909 yılları arasında Korfu’da on dokuz farklı isim başşehbender ya da şehbender olarak görev yapmıştır. Makalenin amacı Osmanlı Devleti açısından stratejik öneme sahip Korfu Adasında görev yapan bu başşehbender ve şehbenderlerin kimler olduğu, hangi tarihler arasında görev yaptıklarını ve neden görevlerinden ayrıldıklarını tespit etmektir.
Contribution of Entrepreneurial Competence of Madrasah Principals to Improve Graduate Quality
Authors: AS'ARI As’ari , Syarifuddin2 Encep , Apud Apud
Published: November 2024

Madrasas are required to transform and improve graduates' education quality, and they do not become a second alternative. Madrasas are less responsive to any potential development of madrasas' environment concerning madrasa's real-life situations and the concentration of madrasas' efforts. The principal's entrepreneurial competence is needed to solve this problem. The research aims to prove the contribution of school principals' entrepreneurial competence to improving the quality of madrasah graduates. This research applied the quantitative and inferential methods in which infinite numeral-based data was analyzed from the response to questions of both variables using simple linear regression. The population of the research was teachers at the Banten Province State Madrasah Aliyah. Samples were obtained by stratified random sampling, which amounted to 200 people. The research findings (regression-based analyses) showed that the criteria for p < 0.005 were fulfilled, so school entrepreneurial competence was significantly proven to improve graduates' quality at the Banten Province State Madrasah Aliyah. Based on the results of this study, the entrepreneurship of madrasah principals not only focuses on financial aspects but also on efforts to create added value for all stakeholders, significantly improving the quality of graduates
Women through the Lense of Philippine Literature: Analysis of Notable and Inspiring Traits
Authors: Mangarin Rey Avila , Bungabong Rey Anne D.
Published: November 2024

This study is anchored on Feminism which critiques traditional theories for their androcentric biases and calls for a reevaluation of power dynamics and social justice (Tong, 2009). By foregrounding women’s experiences and advocating for structural changes, feminist theory aims to dismantle entrenched hierarchies and promote gender equity across various spheres of life (Hartsock, 1983). The Philippines has a rich and evolving history, deeply intertwined with the nation’s struggle for social justice and gender equality. In recent years, contemporary Filipino feminism has increasingly focused on intersectional issues, recognizing the diverse experiences of women across different socio-economic and cultural contexts (Cruz, 2020). With the abovementioned, this study explores the different inspiring and notable traits of women in the four major Philippine Literary masterpieces used in teaching Filipino subject in the Junior High School Curriculum (Department of Education) from Grade 7 to Grade 10. Utilizing literary analysis as the approach, this study found out that Filipina women as manifested from different literary characters from Ibong Adarna in Grade 7, Florante at Laura in Grade 8, Noli Me Tangere in Grade 9, and El Filibusterismo in Grade 10, are: Resilient and Strong, Have Moral Integrity and Courage, Advocate for Social Change, Wise and Intelligent, and Loyal and Loving.
Relationship between Alcohol Dependence and Social Support among Alcoholic Patients at Machakos Level 5 Hospital, Machakos County, Kenya
Authors: Keli Nthuli Pauline Ndumi , Tucholski Henry , Muraya Phyllis
Published: November 2024

Alcohol dependence poses a significant challenge to the health and well-being of individuals and communities. This quantitative study investigated the relationship between alcohol dependence and social support among alcoholic patients undergoing treatment at Machakos Level 5 Hospital, Machakos County, Kenya. A correlational research design was used, with a sample of 320 alcohol dependents aged between 18 and 60 years, drawn from a target population of 1,200 patients. The Alcohol Use Disorders Identification Test (AUDIT) and the Multidimensional Scale of Perceived Social Support (MSPSS) were the data collection tools. The theoretical framework was based on the Behavioral Economic Theory of Addiction and Social Support Theory. Data analysis was performed using SPSS version 25, with descriptive statistics including frequencies, percentiles, means, and standard deviations. Inferential statistics included Pearson’s correlation and the Chi-square test. The study found that 55.6% of respondents had high levels of alcohol dependence, while 66.3% had high levels of social support. A positive moderate correlation was observed between alcohol dependence and social support (n = 320, r = .402, p = .000), indicating that higher levels of social support were associated with higher levels of alcohol dependence. The study recommended strengthening psychological and social support interventions to enhance recovery efforts among alcoholic patients.
Strategic Innovation and Competitive Advantage
Authors: Wanyama Robert , Deya Jared , Kariuki Paul , Gachambi Patriciah
Published: November 2024

This study explored the relationship between strategic innovation and competitive advantage through empirical studies across various industries. Strategic innovation, which involves the adoption of novel business models, processes, or technologies, is hypothesized to be a key driver of competitive advantage. The study measured strategic innovation through the dimensions of disruptive innovation, sustaining innovation and incremental innovation. The findings reveal that companies that effectively implement strategic innovations achieve significant improvements in market share, operational efficiency, and brand differentiation. However, gaps persist, including the need for integrated frameworks that encompass all types of innovation, clarity in defining strategic innovation, understanding the dynamics of culture and leadership, exploring dynamic capabilities and adaptation strategies, and examining the role of strategic agility. Based on these insights, the study provided actionable recommendations for practitioners like to develop integrated frameworks that systematically incorporate sustaining, disruptive, and incremental innovations to provide a comprehensive understanding of their collective impact on competitive advantage. Clear and consistent definitions of strategic innovation should be established to facilitate comparative analysis and theoretical development. Additionally, further exploration into the influence of organizational culture and leadership on innovation outcomes is essential, along with longitudinal studies to track how firms adapt their innovation strategies over time. This research contributed to a deeper understanding of how strategic innovation can be leveraged for competitive advantage and offers practical guidance for firms seeking to enhance their strategic innovation capabilities.
An exploration of cold abstraction and hot abstraction in abstract painting
Authors:   National Research Tomsk State University, Tomsk, Russia, Luteng Liu
Published: November 2024

Abstract painting can be roughly divided into two categories, namely ‘hot abstraction’ and ‘cold abstraction’. Among them, the representative of cold abstraction is Mondrian, who emphasises on rationality, and his works usually show rational and calm thinking, characterised by rationality; ‘hot abstraction’ is based on Kandinsky, whose works often show strong and distinctive emotions, characterised by sensibility. Although there are certain differences between the two, they also share common artistic characteristics and close inner connections. In this paper, ‘cold abstraction’ and ‘hot abstraction’ are further researched, and the differences and connections in artistic expression, painting art and style evolution are explored, in order to explore ‘cold abstraction’ and ‘hot abstraction’. to explore the artistic connotation of ‘cold abstraction’ and ‘hot abstraction’.
The Vulnerary Potential of Malaysian Traditional Vegetables as Antibacterial Agents of Fish Pathogens: A Preliminary Study
Authors: Abdul Razak Rashidah , Nawi Mohd Firdaus , Mohd Nasir Nur Izzati Farhanah , Abidin Nor Farhana Ayuni , Jamaludin Nur Ajierah
Published: November 2024

Controlling antibiotic use in aquaculture demands the development of more sustainable alternative treatments for bacterial diseases. Therefore, the present study aims to evaluate the in vitro antibacterial effects of ethanolic extracts derived from ten popular and commonly consumed Malaysian traditional vegetables against Aeromonas hydrophila, Aeromonas jandaei, Aeromonas sobria, and Edwardsiella tarda. Various parts of plants were assessed for their inhibitory activity using disc diffusion, minimum inhibitory concentration, and minimum bactericidal concentration (MBC) methods. The Persicaria odorata and Garcinia atroviridis extracts extracted using the maceration method showed a wide range of inhibitory effects, but others showed less activity. Aeromonas hydrophila was the most susceptible bacterial strain, with all plant extracts suppressing its growth, while A. sobria is the most resistant strain. The minimum inhibition concentration (MIC) value ranged from 0.39 to 100 mg/ml, and all tested bacteria’s MBC/MIC ratio was demonstrated to be bactericidal (MBC/MIC ratio <4). The findings of this study reveal the potential of P. odorata and G. atroviridis extracts as natural antibacterial agents that could be a safer and more effective alternative treatment in controlling bacterial infections in freshwater fish.
Effects of Treatments and Fermentation Time on Phenolic Compounds, Glycoalkaloid Contents, and Antioxidant Capacity of Industrial Potato Waste
Authors: Afaka Muhammad Surajo , Suyub Iswan Budy , Nobilly Frisco , Yaakub Halimatun
Published: November 2024

Potato processing plants generate waste in the form of peels, pulp, and rejects, which is estimated to be around 12–20 % of their total production volume. Potato peels, pulp, and unmarketable potatoes can be processed and incorporated into animal feed formulations. However, there is a limited information on phenolic compounds from industrial potato waste (IPW) phenolic compounds subjected to short-term solid-state fermentation. Bioactive compounds could be improved via solid-state fermentation. Lactiplantibacillus plantarum (MW296876), Saccharomyces cerevisiae (MW296931), and Aspergillus oryzae (MW297015) were purposely selected to ferment IPW at 0, 24, 48, and 72 hr in a two-factor factorial design (treatment × fermentation time). The fermented products were analysed for phytochemical compounds such as total phenolic content (TPC), total flavonoid content (TFC), glycoalkaloid (GLA) content, and antioxidant capacity. The results revealed that the bioactive compounds, except phytic acid, had a significant interaction between treatment and fermentation time. Alpha solanine significantly (p<0.05) decreased while α chaconine increased (p<0.05) with fermentation time across all the treatments except in the control and L. plantarum treatment groups. IPW inoculated with L. plantarum significantly influenced the solubility of GLA compared to other treatment groups. Antioxidant capacity increased (p<0.05) across the fermentation time; at 48 hr of fermentation, L. plantarum had the highest (p<0.05) antioxidant capacity than S. cerevisiae and A. oryzae. Among the three inocula, L. plantarum (MW296876) consistently increased TPC, antioxidant activity, and solubility of both GLA and tannin.
Bee Propolis: Nature’s Remedy for Bone Healing – A Narrative Review
Authors: Min Chai Jie , Berahim Zurairah , Taib Haslina , Shahidan Wan Nazatul Shima
Published: November 2024

Propolis is a resin-like compound bees produce from botanical substances mixed with their saliva and beeswax. It contains antioxidants like flavonoids and phenolic acids that promote bone healing. The promising potential of propolis in supporting bone healing has significant implications in various medical and dental fields, such as orthopedics, periodontology, orthodontics, and oral and maxillofacial surgery. This review aims to evaluate the existing body of research on the impact of propolis on bone healing. A comprehensive literature search spanning the last two decades until 2024 was conducted across reputable databases utilizing the search terms “propolis AND bone AND alveolar bone AND healing. Articles with these keywords, published in English and accessible from reputable databases like PubMed, Cochrane Library, Scopus, and Google Scholar, were included. Articles from unreliable sources, non-English publications, those without full-text access, and review articles or letters to editors were excluded. Initially, 1,974 articles were identified, and after removing duplicates and applying the inclusion and exclusion criteria, 54 articles were selected, and 31 were deemed relevant for the review. The literature indicates that propolis offers significant advantages in halting the progression of bone loss and expediting bone formation and maturation, primarily due to its antioxidant and anti-inflammatory properties. Consequently, incorporating propolis could be an effective and cost-efficient strategy for managing bone defects.
ПЛАСТИЧЕСКОЕ РЕШЕНИЕ СПЕКТАКЛЯ «МЕН БІР ЖҰМБАҚ АДАММЫН… АБАЙ»
Authors: Даулеткулова Гульжан , Шанкибаева Алия
Published: November 2024

Научная проблематика статьи определяется осмыслением и анализом оригинальности танцевально-пластических средств выразительности в спектакле «Мен бір жұмбақ адаммын… Абай» (Я - человек загадка… Абай) Государственного театра кукол Алматы. Целью статьи является фиксация новой по замыслу постановки в жанре «визуального театра» на казахской сцене.
ТЕАТР «АРТИШОК» – КАК АКТУАЛЬНОЕ НАПРАВЛЕНИЕ НЕЗАВИСИМЫХ ТЕАТРОВ КАЗАХСТАНА В ДИСКУРСЕ ХУДОЖЕСТВЕННО-ПОСТАНОВОЧНЫХ РЕШЕНИЙ
Authors: Рычкова Александра , Халыков Кабыл
Published: November 2024

Сегодня роль независимых неформальных театров становиться актуальным, когда государственные театры нуждается в разбавлении мировыми тенденциями развития, происходящими в театральном процессе. Драматические трансформации после преобразования коммунистической диктатуры изменили культурную ориентацию и ценностей уже как более 30 лет. Театр «АртиШок» в дискурсе самоопределения способствует международному опыту и является флагманом по новейшим изменениям культурной парадигмы. Целью исследования является критический анализ особенностей сценографии государственных и независимого Театра «АртиШок» в Казахстане. Задачи: провести социокультурный анализ театральной ситуации и возникновения неформальных театральных площадок; сбор и анализ архивных данных представленных театров, интервью с режиссерами и художниками независимого Театра «АртиШок». Методы исследования: для оценки социокультурного анализа театральной ситуации и возникновения неформальных театральных площадок применены метод методы децентрализаций и сравнительно-сопоставительного анализа, для сбора и анализа архивных данных исследуемых театров, интервью с режиссерами и художниками привлекли метод статистических данных, анализа, опроса и интервью; для полноценного анализа исторических данных сценографии независимых казахстанских театров применены формально-исторические методы; для сравнения художественно-составляющих моделей неформальных площадок с государственными привлечены гипотетические и методы критического анализа. Результаты: выявлены ключевые этапы развития сценографии неформальных театров с конца 90-х годов в связи с получением самоидентификации; собраны и проанализированы данные и архивы представленных в статье театров, режиссеров и художников; проанализирована сценография независимых театров, в которых выявлены истоки становления данной сферы; выявлены общехарактерные черты в сценографии всех независимых площадок и их связующие факторы;   обоснованы философские и практические концепции сценографии независимых театров Казахстана в свете мировых трендов.
UMJETNA INTELIGENCIJA I ODNOSI S JAVNOŠĆU U FUNKCIJI ODRŽIVOG RAZVITKA
Authors: Vasilj Maja
Published: November 2024

Suvremeno društvo razvilo se na znanju, primjeni znanstvenih dostignuća i na neznanju o tome koliko nekontrolirano gospodarenje s neobnovljivim resursima onečišćuje okoliš, utječe na klimatske promjene i izaziva negativne posljedice koje mogu dovesti u pitanje opstanak života na zemlji ako se ne saniraju učinjene štete i ne prestane s onečišćenjem. Zbog toga je postojeći gospodarski razvitak postao neodrživ i treba ga zamijeniti novim, održivim, a do njega se ne može doći ni brzo ni lako. Trenutačno zatvaranje svih proizvodno-uslužnih kapaciteta, onečišćivača nije moguće jer bi to značilo prestanak gotovo svih gospodarskih aktivnosti i izvora financiranja, a za uvođenje novih izvora energije, tehnologija i tehnoloških postupaka treba imati i novca i vremena. Zbog toga će se s onečišćenjem okoliša i ugrožavanjem životne sredine nastaviti i u prijelaznome razdoblju, dok se neodrživi gospodarski razvitak ne zamijeni održivim, a u tome razdoblju treba provoditi dogovorene mjere zaštite okoliša (postupno smanjivanje ispuštanja stakleničkih plinova i drugih onečišćenja) i ciljeva održiva razvitka (postupna uvođenja novih izvora energije, resursa, tehnologija i dr.) na svim razinama, od lokalne do globalne. Odnosi s javnošću u neodrživome gospodarskom razvitku nisu bili učinkoviti u zaštiti okoliša koliko u ostvarivanju ciljeva poslovanja, a s umjetnom inteligencijom mogu biti učinkoviti i u provođenju mjera zaštite okoliša i ciljeva održivoga razvitka.

Ključne riječi: održivi razvitak, odnosi s javnošću, četvrta industrijska revolucija, umjetna inteligencija, chatbot, virtualni asistent, digitalizacija i digitalna transformacija
Cardiospermum halicacabum Extract Inhibits the Production of Nitric Oxide and Reactive Oxygen Species in LPS-Stimulated RAW 264.7 Cells through Erk/p38 Signalling Pathways
Authors: Ngoenkam Jatuporn , Nuiyen Aussanee , Thanwisai Aunchalee , Paensuwan Pussadee , Pongcharoen Sutatip
Published: November 2024

The medicinal plant Cardiospermum halicacabum has been extensively studied for its potential in various therapeutic activities, including anti-inflammation, antioxidant, antibacterial, antifungal and antiparasitic effects. However, the specific molecular mechanisms responsible for its anti-inflammatory properties remain largely unknown. In order to shed light on this aspect, the current investigation was aimed at elucidating the underlying mechanisms through which C. halicacabum exerts its anti-inflammatory response. The different concentrations of C. halicacabum extract were tested for cytotoxicity on RAW264.6 murine macrophage cells by MTT assay. The inhibition of nitric oxide (NO) in LPS-induced cell pre-treated with the extract was evaluated by Griess assay using Griess reagent. Flow cytometry and fluorescent microscopy were used to examine the reactive oxygen species (ROS) in the treated cells. The expression of iNOS and the phosphorylation status of Erk1/2, p38 and NF-kB were determined by western blotting. The C. halicacabum extract at concentrations up to 125 µg/mL did not cause the cytotoxicity to the RAW264.6 murine macrophage cells. Incubation of LPS-induced cells with the extract significantly minimized the production of NO as compared with the LPS-stimulated cells. Further, the extract significantly reduced ROS generation in LPS-induced cells. In the present of C. halicacabum, LPS-treated cells had the reduced NOS expression as well as had low phosphorylation on Erk1/2, p38 and NF-kB. C. halicacabum attenuates NO and ROS production under the regulation of Erk1/2 and p38 pathway as well as NF-kB.
HIGHLIGHTS

The underlying mechanisms of halicacabum on its anti-inflammatory response were investigated.
halicacabum extract significantly reduced ROS and NO generation in LPS-induced cells.
halicacabum attenuates NO and ROS production under the regulation of Erk1/2 and p38 pathway as well as NF-kB.

GRAPHICAL ABSTRACT
Impact of Aspirational Reference Group on Consumer Buying Behaviour –A Structured Model
Authors: Dr. Pooja Jain  , Prof. (Dr.) B. K. Tripathi
Published: November 2024

This paper introduces a Structured Equation Model that describes impact of Aspirational Reference Group on psychological constructs of consumers namely Perception, Attitude, Learning and Familiarity. This paper also explains their impact on consumer buying action. Aspirational Reference Groups always have been major stimulators of consumer purchases. Celebrity Endorsement is a major tool of using aspirational groups as impact creators. Since decades celebrities have been involved in endorsing products and offerings. Corporates are using celebrities as Brand ambassadors to generate more recall value and sales. Especially in India, in recent years celebrity endorsement has become a vital element of advertising strategy. This motivated the Researchers to study impact of Aspirational Group Appeals on psychology of consumers which in turns impacts the consumer buying behaviour.in this study 300 respondents from different demographic profiles were surveyed through a structured questionnaire. The model is created through Partial Least square-Structural Equation Modelling.
Findings of this research projected that celebrity endorsers significantly impact the psychological constructs of consumers and also the buying behaviour. Perception is identified as most impacted psychological construct. The study established positive relationship between celebrity endorsements and consumer buying behaviour
Assessment of Unwanted Side Effects of Vaccines in Cancer Patients: Where Do We Stand in Vaccination? Where Should Our Next Step Be?
Authors: GECGEL Asli
Published: November 2024

For cancer patients, vaccination against diseases that can be prevented by vaccination is a crucial but often disregarded matter. Our aim was to find out how adult immunization guidelines were being used and to investigate undesirable effects after vaccination. Vaccination status against hepatitis A and hepatitis B virus, tetanus-diphtheria, pneumococcus, influenza and meningococcus of 535 patients with solid organ malignancies who were referred to the Adult Vaccination Polyclinic from oncology outpatient clinic between July 2020 and March 2024 were documented retrospectively. Data collection and statistical analyses were performed with SPSS statistical software version 22.0. The patients’ mean age±SD was 56.8±12.3. Of the patients, 329 (61.4%) are women. Breast cancer (n= 184, 34.3%), urogenital cancers (n= 89, 16.6%), and lung cancer (n= 69, 12.8%), are the most prevalent cancers among patients applying for vaccination. Pneumococcal vaccine was the most frequently administered vaccine in 515 patients (96.2%), while influenza vaccine was the least frequently administered vaccine in 12 patients (2.2%). Fifty-three (9.9%) patients had grade 1 side effects. Pain at the injection site was the most common side effect and occurred most frequently after tetanus-diphtheria vaccination. Undesirable side effects were more frequent in 7.9% (n= 42) of patients who were under treatment (p= 0.016). However, no significant relationship was found between age, sex, the disease stage and the types of treatment received and the incidence of side effects (p> 0.05). None of the participants experienced any moderate or serious post-vaccination side effects serious enough to require medical attention. Although the pneumococcal vaccination rates in our study are greater than to the literature, the application rate of other vaccines, especially influenza vaccine, is low according to current guidelines. Increased awareness of this issue among oncology physicians is suggested by the fact that about 1/5 of patients were referred to vaccination outpatient clinics. This study is extremely valuable in demonstrating to oncology physicians the rarity of vaccine side effects. Keywords: Vaccination, Immunization, Cancer patient, Solid tumor, Post-vaccination unsiderable effect
Survival Outcomes and Prognostic Staging in Locally Advanced Breast Cancer Patients Receiving Radiotherapy: A Single Center Experience
Authors: SENGUN Yasemin
Published: November 2024

The American Joint Committee on Cancer (AJCC) 8th edition prognostic staging was introduced to improve breast cancer staging by incorporating factors like hormone receptor status and human epidermal growth factor receptor-2 (HER2) expression. This study assesses its effectiveness in locally advanced breast cancer (LABC). A total of 557 patients with locally advanced breast cancer (Stage III) were re-evaluated using prognostic staging. Overall survival (OS), disease-free survival (DFS), and distant metastasis free survival (DMFS) rates were evaluated using the Kaplan-Meier method, and the log-rank test was employed to compare outcomes between anatomic and prognostic staging. According to restaging 34.5% of patients remained in the same stage, while 55.8% were downstaged, and 9.7% were upstaged. When patients reassigned using prognostic staging patients classified as stage IIA showed improved OS rates compared to those in stages IIIA, IIIB, and IIIC (p< 0.001 for each). Patients with prognostic stage IIA had better DFS compared to IIIA, IIIB (p= 0.003, and p< 0.001, respectively). Both anatomic and prognostic staging were found to significantly impact OS in patients with Luminal-A tumors (p= 0.008 and p= 0.001, respectively), whereas neither anatomic nor prognostic stage had any impact on triple negative subgroup. When stage IIIA patients restaged, downstaged individuals showed better OS than those who stayed at the same stage or were upstaged (p= 0.01 and p= 0.02, respectively). This study highlights the prognostic staging system’s superiority over anatomic staging in predicting survival outcomes for LABC, and the use of the prognostic staging system for more personalized treatment strategies. Keywords: Breast cancer, Radiotherapy, Anatomic staging, Prognostic staging
A Study of Cooperative and Non-Cooperative Wideband Spectrum Sensing Radio Networks in the Cognitive Radio 5G Era
Authors: C. Dike Blessing , M. Akujuobi Cajetan
Published: November 2024

The advent of 5G technologies has ushered in unprecedented demands for efficient spectrum utilization to accommodate a surge in data traffic and diverse communication services. In this context, accurate and reliable spectrum sensing is crucial. We investigated wideband spectrum sensing strategies by comparing non-cooperative cognitive radio (CR) approaches with cooperative methods across multiple sub-bands. Our research led to the development of a sophisticated cooperative wideband spectrum sensing framework that incorporates a K-out-of-N fusion rule at the fusion center to make optimal decisions, selecting an appropriate K for a given number of cooperating CRs. This method aims to combat the noise uncertainty typically affecting traditional non-cooperative energy detection methods in 5G environments under Additive White Gaussian Noise (AWGN) conditions, assumed to be identically and independently distributed (i.i.d). However, our findings indicate that while cooperative sensing significantly improves detection in scenarios with poor signal-to-noise ratios (SNRs) and higher false alarm rates (between 0.5 and 1), it does not consistently outperform non-cooperative methods at very low false alarm rates (0.01 and 0.1). This finding suggests the limited effectiveness of the cooperative sensing method under certain conditions, underscoring the need for further research to optimize these strategies for diverse operational environments.
Real-Time Indoor Air Quality Awareness: Lumigen's Integration of Visualization and Sensing Technologies
Authors: Wang Jiasheng , Sun Yu
Published: November 2024

Lumigen is an innovative air quality monitoring system designed to enhance indoor environmental awareness using real-time data visualization [1]. The system combines an air quality sensor connected to a Raspberry Pi with a set of Philips Hue lights that change color based on detected air quality levels [2]. This setup provides immediate visual feedback, alerting users to air quality changes without requiring them to check a separate device. Users can interact with Lumigen through a mobile app that facilitates real-time monitoring, historical data analysis, and customization of air quality alerts and light settings [3]. Experimental evaluations demonstrate that Lumigen effectively detects and responds to variations in air quality, with a rapid response time and high accuracy. Unlike other solutions that may require separate displays or offer limited data insights, Lumigen seamlessly integrates into everyday life, providing both visual and data-driven cues about air quality. Future developments could enhance its portability, integrate automated responses with air purifiers, and offer advanced data analytics to further empower users to manage their indoor environments proactively [4].
Modeling Unlearning and Relearning with Multi-agent Q-Learning Systems
Authors: Solaiman Maryam , Mui Theodore , Wang Qi , Mui Phil
Published: November 2024

We model unlearning by simulating a Q-agent (using the reinforcement learning Qlearning algorithm), representing a real-world learner, playing the game of Nim against different adversarial agents to learn the optimal Nim strategy. When the Q-agent plays against sub-optimal agents, its percentage of optimal moves is decreased, analogous to a person forgetting (“unlearning”) what they have learned previously. To mitigate the effect of this “unlearning”, we experimented with modulating the Q-learning so that minimal learning occurs with untrusted opponents. This trust-based modulation is modeled by observing opponent moves that are different from those that a Q-agent has learned. This model parallels human trust which tends to increase with those whom one agrees with. With this modulated learning, we observe that a Q-agent with a baseline optimal strategy is able to robustly retain previously learned strategy, in some cases achieving a 0.3 difference in accuracy from the unlearning model. We then ran a three-phase simulation where the Qagent played against optimal agents in the first phase, sub-optimal agents in the second “unlearning” phase, and optimal or random agents in the third phase. We found that even after unlearning, the Q-agent was quickly able to relearn most of its knowledge about the optimal strategy for Nim.
Big Data Infrastructure: Integrating Legacy Systems with AI-Driven Platforms
Authors: Kapoor Aeshna
Published: November 2024

The rapid evolution of data-driven technologies has led to the proliferation of big data systems capable of managing and analyzing vast amounts of data. However, many organizations continue to rely on legacy systems that are deeply entrenched in their operations. The challenge lies in integrating these legacy systems with new, AI-driven platforms to create a cohesive, hybrid infrastructure that leverages the strengths of both. This paper presents a comprehensive approach to designing and implementing a hybrid big data infrastructure that combines legacy systems with advanced AI technologies. We explore the challenges, architectural considerations, and the potential benefits of such an integration, aiming to provide a roadmap for organizations seeking to modernize their data infrastructure without completely abandoning their existing investments.
Comparative Performance Analysis of Single-Shot Detector and Faster R-CNN for Object Detection
Authors: Zhao Jie , Su Meng
Published: November 2024

Object detection is a pivotal technology in computer vision that detects multi-class objects with their localizations in an image. It can untangle the enigma of complicated scenes in the real world. Two main algorithms for implementing object detection are Single-Shot Detector (SSD) and Faster RCNN, which have unique structures of deep learning neural networks. This study compares two prominent object detection algorithms: SSD and Faster R-CNN, focusing on Intersection over Union (IoU) thresholds and runtime efficiency. Using COCO data sets with the validation of 2017, we evaluate the bounding box localization and recognition accuracy of both algorithms. By analyzing IoU thresholds and time efficiency, our findings offer insights into selecting optimized algorithms for different object detection tasks.
A Webcam-Based Adhd Screening Tool using Eye-Tracking and Behavioral Tests
Authors: Dai Markenever , Dai Mikenever , Balatbat Robert Joseph
Published: November 2024

Attention-Deficit Hyperactivity Disorder, commonly abbreviated as ADHD, is a neurological disorder commonly associated with restlessness, difficulty maintaining attention spans, and difficulties maintaining interpersonal relationships [1]. Screening for ADHD is difficult and costly, and a more accessible and affordable option for getting tested for ADHD is necessary. As such, we created the website named NeuroGaze, which offers a non-intensive way to get tested for ADHD [2]. It utilizes the user’s webcam to use eye-tracking software across multiple tests. Three tests are employed by the website. First, a visual attention go/no-go test will generate 10 images for a user and they must only interact if they spot a certain image. Second, a continuous inhibition CPT (continuous performance test) will display random characters on a screen and the user is tasked with interacting with all non-’X’ characters [4]. Lastly, an interference test will have the user read a passage with distractions intermittently appearing, focusing on eye-tracking movement results. A screening survey follows, and the test concludes with the results screen with a potential diagnosis. To test our website’s accuracy, we created an experiment involving 12 individuals, half of which had ADHD [3]. Testing showed that our website is 75% accurate in its diagnoses, which leaves a solid foundation to further iterate on in the future.
An Intelligent Fitness Posture Correction and Suggestion System for Visually Impaired using Computer Science and IoT System (Internet of Things)
Authors: Li Sean , Park Andrew
Published: November 2024

Visual impairments are an unfortunate trait that can be obtained during birth, unexpected incidents, or natural causes like age. These reasons shouldn’t be the determining factor of whether the individual can remain physically healthy or not. Our goal is to provide an assistant to improve fitness journeys of those who need guidance on form and varieties of exercises. We intend to solve these problems with a dedicated fitness device that has voice guidance and a built-in camera to help lead users into building good exercise habits to prevent the risk of injury and help them remain in their best possible shape [2]. Some key technologies would be the Raspberry Pi, USB speaker, a mini microphone, and the use of AI [3]. Some challenges that we faced would be how to make the AI comprehend the words clearly and ignore outside noises. We fixed this issue with the use of OpenCV and MediaPipe. This idea is ultimately something that people should use because it provides the tools to a successful physical transformation or just daily routines to keep someone in shape, giving the visually impaired a key to a more convenient life [4].
An Intelligent Mobile Application to Monitor Children’s Safety using Deep Learning and Object Detection
Authors: Zhang Yutong , Li Ang
Published: November 2024

In the realm of home safety, the heightened risk of injury among unsupervised children, particularly from window-related falls, represents a significant challenge [1]. This study introduces an innovative solution to mitigate such risks through a novel integration of technology and artificial intelligence. We propose a comprehensive system that harnesses the power of Deep Learning, specifically utilizing the YOLOv8n algorithm, in conjunction with a Raspberry Pi platform for real-time hazard detection [2]. To address the critical aspect of data transfer, our system employs Firebase for efficient and timely communication between components. Acknowledging the limitations posed by initial model inaccuracies, our approach involved augmenting our dataset to ensure diversity and mitigate the risk of overfitting, thereby enhancing the model's predictive accuracy. This paper details our experimentation with various configurations, including an attempt to utilize YOLOv8x, which was ultimately revised to YOLOv8n due to computational constraints of the Raspberry Pi [3]. The robustness of our system was rigorously tested across diverse scenarios involving windows and doors, establishing a comprehensive dataset that underscores the system's effectiveness. By integrating real-time detection with an intuitive user interface, our system offers a proactive tool for parents to enhance home safety for their children. This contribution not only addresses a pressing societal issue but also advances the application of Deep Learning and IoT technologies in the domain of domestic safety.
A Dynamic Simulation Platform to Train and Control Rocket Landings using Unity ML-Agents and Reinforcement Learning
Authors: Jin Haoran , Park Andrew
Published: November 2024

This project addresses the challenge of simulating rocket landings across different planetary environments by using Unity ML-Agents to train AI models [1]. The reusability of rockets, critical for space exploration, requires precise control and adaptability to varying gravitational conditions. We proposed a solution combining AI-driven controls with interactive user input to create a flexible and realistic rocket landing simulator. The methodology employed machine learning to develop models capable of handling complex control tasks, using reinforcement learning to adapt to the distinct environments of Earth, Mars, and the Moon. Experiments centered on evaluating the model's ability to adjust and perform within each environment, analyzing how critical rocket parameters, such as mass and thrust, influenced performance across varied gravitational and atmospheric conditions. This approach provided insights into the model’s adaptability and optimization potential for diverse extraterrestrial applications. [2]. The most significant finding was that the AI performed well on Earth and the Moon but required further tuning on Mars due to faster descent speeds [3]. Our approach provides an engaging and educational platform for studying reusable rocket technology, making it a valuable tool for both academic and practical applications.
PENGEMBANGAN CHATBOT KONSULTASI KESEHATAN MENTAL KESEHATAN MENTAL BERBASIS OPEN AI MODEL GPT-3.5 TURBO MENGGUNAKAN MEDIA WHATSAPP
Authors: Ibrahim Ahmad Assegaf  , Muhammad Taufik Syastra  , Rifky Kurniawan  , Tiawan  , Muhamad Soleh Fajari  , Mawarseh  , Retno Novarini  , Ahmad Karim Harahap  , Elfina Maulid  , Yulia Irfayanti  , Sutrisno  , Elisabeth Kurnia Wijayanti
Published: November 2024

Penelitian ini bertujuan mengembangkan chatbot yang terintegrasi dengan WhatsApp menggunakan model GPT-3.5 Turbo dari OpenAI untuk membantu dalam konteks kesehatan mental. Melalui integrasi teknologi ini, chatbot mampu memberikan respons yang efektif dan empatik terhadap pertanyaan dan diskusi seputar kesehatan mental. Metodologi yang digunakan meliputi pengembangan chatbot, Black Box Testing, dan Usability Testing, serta analisis feedback dari pengguna dan psikolog. Hasil penelitian menunjukkan bahwa chatbot berhasil mengimplementasikan interaksi yang mendalam dan relevan dalam konteks kesehatan mental. Chatbot ini menawarkan alternatif pendekatan dalam memberikan dukungan psikologis dan informasi terkait kesehatan mental. Penelitian ini membuka peluang untuk pengembangan lebih lanjut dalam bidang chatbot kesehatan mental, khususnya dalam integrasi teknologi AI terbaru.
RANCANGAN APLIKASI ANDROID UNTUK SISTEM PENJUALAN DI TOKO ROTI ASLI DENGAN METODE WATERFALL
Authors: Firmansyah Yuan Satria , Utami Wahyu Sri
Published: November 2024

Asli Bakery, located in Yogyakarta, faces challenges in recording transactions and inventory that are still done manually. This recording system consumes a lot of time and has a high risk of errors. To improve efficiency and accuracy, this research aims to develop an Android-based sales application that allows real-time management of product data, transactions, and recaps. The method used in designing the system is Waterfall, which includes the stages of needs analysis, design, development, and testing. The results showed that this application speeds up the recording process and minimizes errors, allowing direct access to information for employees and shop owners. The implementation of this system shows the ability of Asli Bakery to adapt to information technology, strengthen its market position, and improve services to customers.
DETEKSI REAL-TIME KONDISI BATERAI MENGGUNAKAN SISTEM MONITORING BERBASIS PERANGKAT BERGERAK
Authors: Kusumojakti Mochamad Aqsha Pasalewa , Zaky Umar
Published: November 2024

Pada era digital ini, kebutuhan akan monitoring kondisi baterai secara real-time semakin meningkat, terutama pada perangkat yang digunakan dalam kegiatan sehari-hari, seperti kendaraan bermotor. Penelitian ini bertujuan untuk mengembangkan sistem monitoring kondisi baterai berbasis perangkat bergerak yang mampu mendeteksi parameter-parameter penting seperti tegangan, arus, suhu, nilai State of Charge dan State of Health baterai secara real-time. Sistem ini dirancang menggunakan sensor voltage 0–25 V, sensor arus ACS712, serta sensor suhu DHT22 untuk memantau nilai kondisi baterai yang terpasang dan dikendalikan oleh Wemos D1 R32 sebagai microcontroller. Data hasil pembacaan sensor selanjutnya akan dikirim ke database dan ditampilkan pada aplikasi Android. Pengujian sistem dilakukan untuk melakukan pengetesan terhadap fungsionalitas sistem serta pembacaan data kondisi baterai. Hasilnya setiap sensor dapat berjalan dengan baik dan menunjukan hasil yang sesuai dengan keadaan yang diharapkan. Sensitifitas reaksi setiap sensor juga dikatakan cukup baik, hal ini terbukti ketika sensor voltage dan arus ACS712 tidak dihubungkan dengan baterai maka menunjukkan nilai kondisi 0 sama hal nya dengan sensor suhu DHT22 akan menghasilkan nilai tinggi apabila suhu di sekitar tinggi dan nilai rendah apabila suhu di sekitar sedang rendah. Sistem ini praktis dalam memantau kondisi baterai, memudahkan pengguna untuk mengetahui kondisi baterai tanpa perlu membawa alat-alat tambahan.
Food choice, energy and nutrient intake of pregnant women in Afijio and Oyo East Local Government areas of Oyo State, Nigeria
Authors: Oladipo Funmilola Seyi , Taiwo Anuoluwapo Funmilayo , Ariyo Oluwaseun
Published: November 2024

Background: Adequate nutrition during pregnancy is crucial for the health of both the mother and fetus. However, sociocultural factors can significantly influence dietary choices and nutrient intake among pregnant women. Despite the importance of this issue, particularly in regions like South-west Nigeria, research exploring the underlying factors remains limited. Aims: This study aimed to investigate the sociocultural factors influencing food choices and nutrient intake among pregnant women in South-west Nigeria. Methods: A mixed-methods approach was employed combining quantitative and qualitative methods. A total of 200 pregnant women were randomly selected and administered a semi-structured questionnaire to collect data on socio-demographic and socio-economic characteristics. A 24-hour dietary recall and food choice questionnaire were also administered. Additionally, in-depth interviews were conducted with a random sample of 30 pregnant women to gain deeper insights. Results: The mean age of the respondents was 27.2 ± 5.7 years, with most women (53.5%) in their second trimester. The average daily intake of fat, protein, and carbohydrates was 30.71 ± 14.20 g, 70.38 ± 31.61 g, and 314.21 ± 102.02 g respectively. These values deviate from recommended macronutrient distribution ranges, and micronutrient intakes were below recommended levels. Sociocultural factors, including socioeconomic status, cultural beliefs, and food availability, significantly influenced food choices. Factors such as husband’s decision-making, cultural acceptability, sensory appeal, perceived naturalness, food restrictions, and food taboos, were identified as key determinants of dietary patterns. Additionally, the high cost of nutritious foods limited access to a balanced diet. Conclusion: Inadequate nutrient intake among pregnant women resulted from suboptimal food choices influenced by various factors. To address this issue, intervention programs should be implemented to enhance nutrient intake and promote healthy food choices among pregnant women. Additionally, these programs should aim to reduce social and cultural barriers to healthy eating, thus improving maternal nutrition during pregnancy.
Keywords: Food choice, socio-cultural drivers, pregnant women, nutrient intake.