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This Zenodo repository contains all supplementary resources required to reproduce the computational analyses presented in the manuscript. The main analyses were performed using Google Colaboratory (Google Colab) with Python 3.11,1. The notebooks were developed to run directly in Google Colab. Trajectory inference and scRNA-seq analyses were performed using RStudio 2025.09.2. The file GSE181919_UMI_counts.txt must be downloaded in advance to run the script correctly. The file is available from the Gene Expression Omnibus (GEO) database under accession number GSE181919. The original metadata were adapted for the present study, including the TNM classification of each patient. If you use these data or scripts, please cite this manuscript.

A Question for Readers The relevant DAS disclosures were published from June 2026 by the World Intellectual Property Organization (WIPO), Geneva. Meta publicly disclosed Muse/Sentinel on 8 September 2026. Readers are requested to independently identify which technical elements were already disclosed in the earlier DAS materials and which elements are genuinely Meta-specific engineering choices. [ Recommended — Download the Complete Package ( ZIP FILE ) from the Download Section for Proper Evaluation ] For Hacker News Readers If you want to test the comparison yourself, download the complete source package: 00_COMPLETE_DAS_META_MUSE_SENTINEL_VALIDATION_PACKAGE.zip For the fastest review: Download ZIP → extract all files → place them in one AI Project/Workspace → read 00_READ_FIRST_AI_INSTRUCTIONS.md → reconstruct DAS first → reconstruct Meta Muse/Sentinel separately → only then compare them. The supplied 01_AI_ANALYSIS_PROMPT.txt is optional. Use your own prompts too. Try to break the mapping rather than confirm it. If you have only a few minutes, start with: DAS I: Embodiment 84 + 85.B2ALF-PCT: Embodiment 11 Then compare those passages directly with Meta’s source material. The question for HN is: Which correspondences survive a technically skeptical review, which disappear under scrutiny, and which Meta features are genuinely implementation-specific? AI is only the research tool. The underlying primary sources are the evidence. When Meta’s Muse/Sentinel architecture is compared with the earlier DAS disclosures, which technical elements were already disclosed before Meta’s 8 September 2026 announcement, and which are genuinely Meta-specific engineering choices? Relevant DAS/ALF PCT materials were already publicly available through WIPO from June 2026, with relevant priority claims dating back to December 2025. I am the author of DAS, so do not trust my conclusion. Download the sources, reconstruct DAS and Meta independently, then compare them yourself. I am not alleging copying or infringement. Independent development is entirely possible. Chronology and technical correspondence are separate questions. Focus on the actual control structure: agent computation → authority decision → enforcement boundary → bounded permission → external effect Then test the differences: sandboxing, egress control, credentials, human approval, provenance/taint, anti-bypass enforcement, and where the action becomes externally effective. If you have only a few minutes, start with: DAS I: Embodiment 84 DAS I: 85.B2 — Agent Sandbox Egress Finality Gate ALF-PCT: Embodiment 11 Then compare them with Meta’s own Muse/Sentinel technical materials. Use AI if useful, but AI is not the evidence. The evidence is the underlying primary-source record. If the proposed mapping is wrong, identify exactly where the causal architectures diverge. Do not accept my framing. Try to break it. Underlying principle: Computation is not authority to act. #AI #AISecurity #AIAgents #Cybersecurity #MetaMuse #MetaSentinel #ExecutionFinality

HTS 2G superconducting tapes without stabilizer are used for the construction of superconducting fault current limiters. The characteristics R =f(T) of the superconducting tape is essential for design of superconducting current limiters and analysis of their numerical models. The article presents the experimentally determined characteristics R=f(T) of the second generation superconducting tapes SF4050 and SF12050 using the LabVIEW integrated environment. The article describes the method of sample preparation and methodology of testing of HTS 2G superconducting tapes. The LabVIEW integrated environment was used for the testing, thanks to which it was possible to download, process and save measurement data.

SUMMARY: Saint is a web application which provides a lightweight annotation integration environment for quantitative biological models. The system enables modellers to rapidly mark up models with biological information derived from a range of data sources. Availability and Implementation: Saint is freely available for use on the web at http://www.cisban.ac.uk/saint. The web application is implemented in GoogleWeb Toolkit and Tomcat, with all major browsers supported. The Java source code is freely available for download at http://saint-annotate.sourceforge.net. The Saint web server requires an installation of libSBML and has been tested on Linux (32-bit Ubuntu 8.10 and 9.04). CONTACT: helpdesk@cisban.ac.uk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Aims To test the common assumption that pregnant women who are sufficiently motivated to achieve very good HbA(1c) levels will record home blood glucose data accurately. Methods A new device was used to download information from electronic blood glucose meters to assess the extent of selectivity in patient glucose diary-keeping. Results In an index case, a woman with excellent ambient HbA(1c) (5.9%; upper limit of normal 6.1%) was observed to have 68% of preprandial blood glucose readings above the target range of 3.5-6.5 mmol/l and a mean (+/-SD) level of 8.9 +/- 3.9 mmol/l in the corresponding period. No such impression was conveyed by the home monitoring diary. Six pregnant women with well controlled Type I diabetes (mean HbA(1c) 6.6 +/- 0.2%) exhibited between 42 and 68% of preprandial readings above the target range. Conclusions The frequency of hyperglycaemia has hitherto been underestimated in well controlled pregnant women whose near-perfect home monitoring record is apparently corroborated by near-normal HbA(1c), levels. These observations provide a hypothesis for understanding of the disappointing continuance of macrosomia despite excellent HbA(1c) levels throughout pregnancy.

As AI continues to transform educational practices, understanding its potential benefits, limitations, and ethical implications is critical. This study explores future educators’ perceptions of generative ΑΙ in higher education. Through a mixed-methods approach, this research gathered insights from undergraduate and master’s level students on their familiarity with, willingness to use, and concerns about AI-driven educational tools. Findings highlight a general positivity toward AI’s utility in learning and teaching, with key advantages including personalised feedback, time efficiency, and academic support. Conversely, challenges related to reliability, academic integrity, and the potential for over-reliance reveal areas for further guidance and digital literacy enhancement. Post-intervention data suggests that hands-on experience with AI can reduce concerns and foster a balanced perspective on AI adoption in education. This study underscores the need for ethical frameworks and policy guidance to support the responsible integration of AI in educational contexts.

The geometry of the environment can affect numerous psychological, social, and ecological processes. But its roles in social learning and the dynamics of descriptive norms remain unclear. Here we use agent-based modeling to explore how environments with different geometric shapes can influence social learning to produce variations in the extent of universally shared descriptive norms. Our simulations show that an environment with an irregular layout facilitates the emergence of multiple descriptive norms in a population, whereas an environment with a regular grid plan constrains social learning to produce a behaviorally homogeneous population.

Deep-sea corals are critical to global exploration of deep-sea biodiversity, but research on them in the Indian Ocean is very limited. In this study, we report the first discovery of two new species of red corals at a depth of 1697 m in the western Indian Ocean. The species were identified through detailed morphological analysis, including microscopic examination of colony structure, branches and autozooids (assessing size, abundance and spacing), as well as scanning electron microscopy (SEM) of sclerite morphology and quantity. Two species for the genus Hemicorallium Gray, 1867 were found as new species, designated Hemicorallium indicodensum sp. nov. and Hemicorallium jiaolongensis sp. nov. H. indicodensum sp. nov. is characterised by densely branched structures and numerous globular double-club sclerites, distinguishing it from other species. Meanwhile, H. jiaolongensis sp. nov. features yellowish-white colonies with short rods with sharp, large radial projections in the tentacles. Four mitochondrial regions were used to reveal the phylogenetic relationship in Coralliidae, supporting the taxonomic placement of these two new species. This study provides significant new insights into the biodiversity of deep-sea corals in the Indian Ocean, enriching the known species pool. Additionally, a more comprehensive key to the genus Hemicorallium is provided, further enhancing our understanding of the group’s taxonomy.

: EPDM (ethylene propylene diene monomer) is a type of synthetic rubber. The products of rubber have great importance in every part of life. EPDM rubber has high tensile strength, high tension, toughness, and is weather resistant. Therefore, EPDM (ethylene-propylene-diene rubber) is widely used in many fields. The aim of this study is to examine the effect of accelerator type on mechanical properties and vulcanization characteristics of EPDM rubber. We used the accelerators; thiazole, sulfonamides, dithiocarbamate, thiuram, and guanidine groups. The results show that the fastest cure time and the best tensile strength are achieved with dithiocarbamates for EPDM rubber.

Mehcer edebiyatı, Arap edebiyatının felsefe ile bütünleşip sanatsal öğelerden ve karışık üsluptan daha uzak olduğu, içinde barındırdığı anlam ve düşüncelerle değerliliğini kazanmış bir ekolüdür. Mehcer edebiyatının ikinci adamı olarak bilinen Nu‘ayme de aynı şekilde düşünceleri ile ilgi odağı olmuş, edebiyat ve felsefeyi aynı elekten geçirip, felsefi düşünceleri edebi sanatıyla süsleyip, birçok alandan okuyucuyu kendi edebi ve felsefi dünyasına çekmiş bir edebiyatçıdır. Mehcer edebiyatçılarının ülkelerinden çıkmak zorunda kalışları ve gittikleri ülkelerde karşılaştıkları dil, edebi, sosyal, kültürel ve düşünsel değişimler kendilerinde doğal olarak değişime ve karmaşaya da yol açmıştır. Nu‘ayme de aynı şekilde önce Rus ardından Amerika kültür ve edebiyatından etkilenmiştir. Rus edebiyatında kendisine yol gösterici olarak Tolstoy’u seçen Nu‘ayme onun gibi sürekli hakikat arayışı içinde olmuştur. Çocukluğundan beri zihnini meşgul eden yaşamın manası, ölüm ve ötesi, insanın dünyadaki gayesinin ne olduğu gibi düşünceler olgunluk dönemlerinde de devam etmiştir. Amerika’da birçok edebiyatçı ve filozof ile tanışan Nu‘ayme en çok Spinoza’dan ve onun panteizmi savunmasından etkilenmiştirÇalışmada Mîhâîl Nu‘ayme’nin hayatına kısa bir giriş yapılmış, onun düalizm görüşü, bunu monizmle bağlaması, vahdet-i vücut konusu ve her şeyi kapsayan içkin bir Tanrı’nın varlığı, doğanın ya da evrenin Tanrı ile aynı olduğunu kabul eden panteizm görüşü Nu‘ayme’nin eserleri ışığında incelenmeye çalışılmıştır. Eserlerinde dikkat çeken şeylerden biri, yaşadığı bu birbirinden farklı ortamların ve düşünsel gelişimlerin onda bazen reenkarnasyona yönelmesine, bazen tek tanrıcılığı kabul etmesine, dini inanca ve İncil’e sıkı bağlılığın ardından kiliseyi reddetmesine, Tanrı’yı kendi içinde ve doğada aramasına kadar götürmüştür. Bahsedilen bu görüşler çerçevesinde belli bir düşünceye sahip olamaması, sürekli değişim gösteren evren ve zaman karşısında gelgitler yaşamasına sebep olmuştur. Bu çalışmada hem edebiyat hem felsefe alanı dâhilinde yapılmış bir çalışma olup mehcer edebiyatı ve felsefe alanında daha iyi çalışmalara katkı sağlanması amaçlanmaktadır

Dijital çağın getirdiği teknolojik dönüşümler, görsel kültür pratiklerini ve izleyici deneyimlerini önemliölçüde değiştirmektedir. Bu değişim özellikle dijital yerlilerin medya tüketim alışkanlıklarında belirginbir şekilde görülmektedir. Bu araştırma, etkileşimli sinemanın sunduğu görsel ve işitsel teknikler ileizleyicilerin görme kültürü ve görme politikalarını nasıl yapılandırdığı konusunu incelemektedir. Çalışma,sinemanın dijitalleşmeyle gelişen anlatım olanaklarının izleyiciye hikâyeyi yönlendirme ve yönetebilmeimkânı sunmasına, dolayısıyla izleyici pratiklerinde ortaya çıkan değişimlere odaklanmaktadır.Araştırmanın kuramsal çerçevesi, etkileşimli ve siber drama ile çizgisel olmayan anlatı bağlamlarındasinema-izleyici ilişkisinin geçirdiği dönüşümleri ele almaktadır. Nitel araştırma yöntemleri arasında yeralan fenomenolojik desen üzerine kurulu olan bu araştırmada, 10 katılımcıya Late Shift interaktif filmiizletilerek derinlemesine görüşmeler yapılmış ve elde edilen veriler betimsel ve tematik analiz teknikleriyleçözümlenmiştir. Araştırmanın bulgularına göre izleyiciler, interaktif film deneyiminde yaratma, yönetmeve temsil etme yanılsaması içerisinde yeni bir özdeşleşme, görme kültürü ve seyir deneyimi içerisinegirmektedir. Çalışma, interaktif sinemanın geleneksel sinemadaki tekil karakter özdeşleşmesini aşarakizleyiciye karakter, yönetmen ve senarist rolleri arasında dinamik geçişler sunan katılımcı bir deneyim yarattığını ve bu sayede salt teknolojik bir yenilikten öte kültürel bir paradigma değişimini temsil ettiğiniortaya koymuştur.

Purpose: The aim of this study was to evaluate the willingness of parents to allow their children to receive a COVID-19 vaccine and the factors affecting the decision. Materials and Methods: This study was conducted as a prospective, cross-sectional and descriptive survey study. A survey consisting of questions about the COVID-19 vaccination was conducted with parents. Results: The study included 592 parents, 180 (30.4%) male, and the mean age was 34.14±7.42 years. There were 257 (43.4%) parents would vaccinate their children. A high level of education of parents (p=0.022), a high monthly income of the family (p=0.006), and male gender (p=0.002) were associated with high willingness to vaccinate their children. Two hundred twenty two parents stated that their decision may change depending on whether the vaccine is of domestic or foreign origin, and 215 (96.85%) of them stated that they would prefer domestic vaccines. The most frequent reasons for vaccine hesitancy or refusal to their children were: fear of possible side effects and it being a foreign vaccine. Conclusion: The hesitancy or refusal of parents to vaccinate their children with the COVID-19 vaccine is high. Public health authorities should inform the public about the importance of vaccination and domestic vaccine production should be encouraged.

Aromaterapi; bitkisel uçucu yağların ve aromatik bitkisel bileşiklerin hastalıkların önlenmesinde ya da tedavisinde topikal olarak veya inhalasyon yolu ile uygulanan tedavi yaklaşımıdır. Geçmişten günümüze kadar geleneksel, alternatif veya tamamlayıcı tedavi yaklaşımları olarak tıp ve diş hekimliğinin çeşitli alanlarında kullanılması önerilen uçucu yağların antibakteriyel, antiviral, antifungal, analjezik, sedatif gibi farklı etkiler gösterdiği bildirilmektedir. Bu derleme, diş hekimliğinde kullanılabileceği belirtilen uçucu yağların tanımlanması, uygulanma alanlarının ve tedavi etkinliklerinin incelenmesi amacı ile gerçekleştirilmiştir. Aromaterapiye ilişkin dental literatürler değerlendirildiğinde; uçucu yağların oral mukoza ve dişeti hastalıklarının tedavisinde, diş çürüğünün önlenmesinde, remineralizasyonda, endodontik ve restoratif tedavide, halitoziste, anksiyete kontrolünde kullanılabileceğinin önerildiği görülmektedir. Çay ağacı, karanfil, lavanta, kekik, tarçın, okaliptüs, nane ve limon uçucu yağları ise diş hekimliğinde en çok uygulanan uçucu yağlar olarak belirtilmektedir. Candida enfeksiyonunda çay ağacı, kekik, tarçın, nane, limon; stomatitiste okaliptüs, lavanta; dişeti hastalıklarında çay ağacı, tarçın, okaliptüs; ağız çalkalama solüsyonu olarak çay ağacı yağı, nane; diş çürüğünün önlenmesinde ve remineralizasyonunda çay ağacı yağı, karanfil, kekik, tarçın, limon; pulpa tedavilerinde karanfil, kanal patlarında karanfil, kekik; restoratif materyallerin antimikrobiyal özelliklerinin artırılmasında kekik, tarçın; halitoziste tarçın, okaliptus, nane; dental anksiyete kontrolünde lavanta ve topikal anestezide karanfil uçucu yağlarının kullanılabileceği bildirilmektedir. Kullanım güvenirliliklerine ilişkin deneysel çalışmaların artırılması ve tedavide etkili minimum dozlarının belirlenmesi ile uçucu yağların diş hekimliği klinik uygulamalarında kullanımının gelecekte artacağı öngörülmektedir.

Fibromyalgia is a musculoskeletal pain syndrome characterized with the presence of sensitive points and widespread chronic pain and restricts one's daily life activities and decreases the quality of life. The etiology of fibromyalgia is unclear, but there are numerous hypotheses regarding the emergence and progression of the disease. Among these, the biopsychosocial model offers a holistic framework in which biological, psychological and social mechanisms play a role in the development of fibromyalgia. Since the etiology of the disease is not yet understood, effective methods for its treatment have not been found, thus, interventions aim to reduce the effect of fibromyalgia and increase psychological and physiological functionality. This article aims to examine the psyhcological intervention areas and methods for fibromyalgia patients. In the literature, it is concluded that pain avoidance beliefs and behaviors, self-efficacy, physical activity, sleep quality, self-compassion, emotional skills, coping strategies, personality, comorbid psychopathology are the factors related with the emergence of the disease, severity of pain, and adherence to treatment in fibromyalgia patients. In this context, Cognitive-Behavioral Therapy (CBT), physical exercises, sleep management Acceptance and Commitment Therapy (ACT), compassion focused psychotherapies, mindfulness based psychotherapies, emotion expression and emotion regulation techniques, and biofeedback are recommended as effective methods which can be included in the treatment plans of fibromyalgia patients. Moreover, considering the psychosocial factors in the assessment processes was essential to establish individualized treatment plans. In addition, the importance of multidisciplinary approaches in the treatment processes of fibromyalgia has been discussed within the framework of the biopsychosocial model.

Abstract: The study identified the best-fitting path model of teacher public service motivation in public secondary schools, influenced by work engagement, sense of community, and job satisfaction. Utilizing a stratified sampling technique, data from 400 teachers in Region XI, Philippines, were analyzed using the mean, Pearson r, and path analysis. Findings revealed very high levels across all four variables, with significant correlations observed between work engagement, sense of community, job satisfaction, and public service motivation. Results demonstrated that Model 3 emerged as the best-fit model, exhibiting that work engagement and job satisfaction directly impact the sense of community. Additionally, the sense of community and perceived work engagement serve as predictive factors of public service motivation. Theoretically, these results contribute to educational management by positioning public service motivation as a dynamic concept shaped by work engagement and a sense of community, with job satisfaction serving as an underlying driver. Practically, the research offers school leaders a strategic framework to enhance teacher retention and commitment to public service by establishing collaborative professional learning communities, minimizing non-instructional administrative tasks, and ensuring fair career advancement opportunities. Keywords: Job satisfaction, Path model analysis, public service motivation, Public secondary school teachers, sense of community, work engagement, REGION XI, Philippines. SDG Indicators: #3 Good Health and Well-being, #8 Decent Work and Economic Growth, #16 Peace, Justice, and Strong Institutions. Title: WORK ENGAGEMENT, SENSE OF COMMUNITY AND JOB SATISFACTION: A PATH MODEL ON PUBLIC SERVICE MOTIVATION AMONG PUBLIC SECONDARY SCHOOL TEACHERS Author: Quennie Jean T. De La Cruz, Eugenio S. Guhao Jr. DM International Journal of Novel Research in Interdisciplinary Studies ISSN 2394-9716 Vol. 13, Issue 5, September 2026 - October 2026 Page No: 26-42 Novelty Journals Website: www.noveltyjournals.com Published Date: 02-October-2026 DOI: https://doi.org/10.5281/zenodo.23102481 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/WORK%20ENGAGEMENT,%20SENSE%20OF%20COMMUNITY-02102026-2.pdf

Abstract: The study sought to determine an optimal structural framework for understanding teachers' self-efficacy across public high schools in Region XI, Philippines, examining professional learning communities, motivation, instructional leadership, and emotional intelligence as exogenous variables. Adopting a descriptive-correlational design with structural equation modeling, data were analyzed from 420 teachers selected via stratified random sampling. Findings revealed very high levels across all variables and significant correlations with teacher efficacy. Model 3 emerged as the best-fit structure, demonstrating direct effects after modifications. Key indicators retained included shared leadership and vision for professional learning communities, intrinsic and extrinsic motivation, visible instructional leadership, and emotion regulation and optimism for emotional intelligence. Teacher self-efficacy was characterized by promoting familial participation and fostering a positive school climate. These findings serve as a baseline for policymaking and initiatives to advance high-quality education and economic progress. Keywords: Emotional intelligence, Instructional leadership, Motivation, Professional learning competencies, Public secondary school teachers, Self-efficacy, SEM, SDG Indicators: #4 Quality Education, SDG #8 Decent Work and Economic Growth. Title: PROFESSIONAL LEARNING COMMUNITIES, MOTIVATION, INSTRUCTIONAL LEADERSHIP, AND EMOTIONAL INTELLIGENCE: A STRUCTURAL EQUATION MODEL ON SELF-EFFICACY OF PUBLIC SECONDARY SCHOOL TEACHERS Author: Leah C. Cortez, Eugenio S. Guhao Jr. DM International Journal of Novel Research in Interdisciplinary Studies ISSN 2394-9716 Vol. 13, Issue 5, September 2026 - October 2026 Page No: 43-65 Novelty Journals Website: www.noveltyjournals.com Published Date: 02-October-2026 DOI: https://doi.org/10.5281/zenodo.23103295 Paper Download link (Source) https://www.noveltyjournals.com/upload/paper/PROFESSIONAL%20LEARNING%20COMMUNITIES-02102026-3.pdf

Abstract: The fast paced spread of digital technologies has transformed Human Resource Management (HRM) making it move from conventional administrative practices to data-driven, automated, digitally enabled and increasingly intelligent HRM. Although scholars have given much attention to the strategic and operational implications of Digital Human Resource Management (DHRM), its employee-centric effects are relatively fragmented, especially regarding work-life balance and emotional intelligence. This study critically reviews and thematically synthesises the literature on Digital HRM transformation and how it affects employee work–life balance and emotional intelligence in the digital workplace. Using a secondary source from academic journals, books, and related academic databases, the study identifies theses, relationships, opportunities, and challenges within the literature through thematic analysis. The findings show that Digital HRM facilitates workers' flexibility, autonomy, communication, access to HR services and coordination with work that could aid in reality goodwill balance. While constant connection, technologically-enabled intensification of work, demands of remote work and permeable boundaries between work and home could result in new forms of strain. A subsequent review further shows emotional intelligence, a human capacity, as essential to internet-mediated communication, remote teams, organizational change, and tech-based workplaces. The study treats emotional intelligence not just as the outcome of digitalisation but as an employee capability that works to possibly influence individuals’ responses to opportunities and pressures caused by Digital HRM. With the synthesis, the paper presents an integrated conceptual framework that links the Digital HRM transformation with digitally mediated work characteristics, work–life balance, and emotional intelligence. The research adds to the new HRM literature in digital terms by putting employee well-being and human capability at the centre of digital transformation and identifying avenues for future empirical research. Keywords: Digital Human Resource Management; Digital HRM Transformation; Employee Well-Being; Work–Life Balance; Emotional Intelligence; Digital Workplace; Human-Centred HRM. Title: Digital HRM Transformation and Employee Well-Being: A Thematic Review of Work–Life Balance and Emotional Intelligence Author: Ashish Kumar Upadhyay, Anjali Srivastav International Journal of Recent Research in Commerce Economics and Management (IJRRCEM) ISSN 2349-7807 Vol. 13, Issue 4, October 2026 - December 2026 Page No: 1-20 Paper Publications Website: www.paperpublications.org Published Date: 03-October-2026 DOI: https://doi.org/10.5281/zenodo.23118244 Paper Download Link (Source) https://www.paperpublications.org/upload/book/Digital%20HRM%20Transformation%20and%20Employee-03102026-2.pdf

Abstract: The significant improvement in patient outcomes that can be achieved with the early identification of chronic kidney disease (CKD). This is because timely therapies can postpone the course of the disease to end-stage renal disease. Using clinical and laboratory characteristics that are routinely obtained, this study examines and analyzes a number of different machine learning algorithms for the early prediction and detection of chronic kidney disease (CKD). In this study, we examine the performance of a basic neural network, logistic regression, support vector machines, and random forest on a benchmark dataset for chronic kidney disease (CKD). Applications include feature selection, handling of missing values, and reduction of class imbalance. Through the utilization of stratified cross-validation, the model that performed the best was able to obtain an accuracy of (placeholder), an F1-score of (placeholder), and AUC-ROC (placeholder). With the help of SHAP values, we additionally offer the interpretability of the model in order to emphasize the clinical characteristics that have the most significant impact. The findings indicate that ensemble tree-based models with proper preprocessing not only offer good performance for early CKD prediction but also aid in clinical adoption through their interpretability. Keywords: Chronic Kidney Disease, CKD prediction, machine learning, random forest, early prediction. Title: A Review on Early Prediction and Identification of Chronic Kidney Disease Using Machine Learning Techniques Author: Jyoti Kiran, Dr. Rohit Goyal, Mr. Rakesh Arya International Journal of Computer Science and Information Technology Research ISSN 2348-1196 (print), ISSN 2348-120X (online) Vol. 14, Issue 4, October 2026 - December 2026 Page No: 1-7 Research Publish Journals Website: www.researchpublish.com Published Date: 01-October-2026 DOI: https://doi.org/10.5281/zenodo.23077215 Paper Download Link (Source) https://www.researchpublish.com/papers/a-review-on-early-prediction-and-identification-of-chronic-kidney-disease-using-machine-learning-techniques

Abstract: In the age of digital communication, social media platforms have emerged as important spaces for public discourse, allowing users to respond to and contest mainstream media representations of major public events. Accordingly, this study examines how Moroccan social media users react to mainstream media representations of Morocco’s hosting of the 2030 FIFA World Cup, focusing on Medi1 TV YouTube videos and their users’ comments. Drawing on thematic analysis and Fairclough’s Critical Discourse Analysis, the study analyzes users’ comments responding to selected videos about the event. Although many comments are supportive to the event, the scope of the study focuses on oppositional comments that challenge the mainstream media narrative. The analysis shows that oppositional comments bring issues of government priorities, public spending, and social conditions into the discourse surrounding Morocco’s hosting of the World Cup. The study also highlights social media as a space for counter-discourse in which alternative perspectives and public concerns can challenge dominant media narratives surrounding major national projects. Keywords: Morocco; 2030 FIFA World Cup; mainstream media; YouTube comments; Critical Discourse Analysis; thematic analysis; counter-discourse. Title: Negotiating Morocco’s Hosting of the 2030 FIFA World Cup: A Critical Discourse Analysis of YouTube Comments Author: GHIZLAN ELALAOUI International Journal of Social Science and Humanities Research ISSN 2348-3156 (Print), ISSN 2348-3164 (online) Vol. 14, Issue 4, October 2026 - December 2026 Page No: 1-11 Research Publish Journals Website: www.researchpublish.com Published Date: 02-October-2026 DOI: https://doi.org/10.5281/zenodo.23101507 Paper Download Link (Source) https://www.researchpublish.com/papers/negotiating-moroccos-hosting-of-the-2030-fifa-world-cup-a-critical-discourse-analysis-of-youtube-comments

Abstract: This article delves much on the contribution of vegetation and water bodies in the mitigation of climate change problems. Researches on the climate change phenomenon seem to have been oversubscribed but conclusive resolution to associated risks still need to be sorted out. Research motives on this article have not been out of tranquil interests, but quest to yield globally acceptable mitigation strategies that harmonize life risks brought about by global warming. Global warming is believed to emanate from excessive atmospheric carbon accumulation leading to natural climatic patterns alteration. Disruption of the natural climatic patterns then alter food production processes, leading to non - other than food insecurity. Synthesized search literature dominated by empirical evidences have been coined in the study to yield suggested climate change mitigation strategies. Suggested mitigation strategies are without doubt assumed to proffer sound positive contribution to global food security. Effective carbon sequestration to minimize global warming and investment in the creation of multi-open water sources that create humid micro-climates as a means to cab recurring droughts have also been rigorously suggested. Establishment of open water sources was strongly recommended in communities down to small cluster levels by encouraging policy makers to enforce damming that harnesses excessively lost run-off water. Such water is deemed to alter atmospheric water vapour of the arid and semi-arid regions and thus creating humid conditions favourable for most food production activities. Keywords: climate change, food insecurity, mitigation, global warming, carbon sequestration. Title: EFFECTIVE CARBON SEQUESTRATION AND MICROCLIMATE ALTERATION AS ESSENTIAL CLIMATE CHANGE MITIGATION STRATEGIES Author: Masimba Gwemende International Journal of Interdisciplinary Research and Innovations ISSN 2348-1218 (print), ISSN 2348-1226 (online) Vol. 14, Issue 4, October 2026 - December 2026 Page No: 1-6 Research Publish Journals Website: www.researchpublish.com Published Date: 03-October-2026 DOI: https://doi.org/10.5281/zenodo.23117302 Paper Download Link (Source) https://www.researchpublish.com/papers/effective-carbon-sequestration-and-microclimate-alteration-as-essential-climate-change-mitigation-strategies