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May 28, 2026Open    Access

Machine Learning Evidence for Neurodegenerative Signatures in the Schizophrenia Spectrum: A Multimodal Longitudinal Study

Rocco de Filippis, Abdullah Al Foysal
Schizophrenia has been increasingly conceptualized as a neurodevelopmental disorder with potential neurodegenerative components, yet evidence for progressive brain changes remains controversial. We investigated longitudinal trajectories of structural, functional, and cognitive biomarkers to characterize neurodegenerative patterns in schizophrenia using machine learning approaches. We analysed longitudinal neuroimaging and cognitive data from 150 participants (75 schizophrenia patients, 75 health...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115139


May 28, 2026Open    Access

Global Zones of Particle Precipitation: EXOS-C’s Observation

Miah Muhammad Adel
This article pertains to EXOS-C’s LEO observations during 1984-1986 of quasi-trapped protons (0.64 - 35 MeV) and electrons (0.19 - 3.2 MeV) with the main focus on the former. The temporal variation of proton population near the geomagnetic equator reveals that the peak value of the equatorially mirroring component may increase by a factor of 50 or more between a solar maximum and a minimum condition, and that the peak flux profile of protons in the equatorial, low latitude, midlatitude, and auro...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115274


May 28, 2026Open    Access

Federated Learning for Privacy-Preserving Psychiatric Decision Support: A Simulation Proof-of-Concept for Multi-Institutional Collaborative Risk Prediction

Rocco de Filippis, Abdullah Al Foysal
Psychiatric decision support systems hold promise for improving clinical outcomes, yet their development is hindered by data privacy regulations and institutional silos that prevent aggregation of sensitive patient information across healthcare facilities. This proof-of-concept simulation demonstrates that privacy-preserving federated learning can match centralized training performance under synthetic non-IID conditions; real-world validation on operational electronic health record data is requi...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115138


May 28, 2026Open    Access

Assessment of Training Delivery Practices and Quality Constraints in TVET Institutions: Evidence from North Shewa Zone, Ethiopia

Fanosie Kebede Amete, Sanpeng Deng, Changlan Shao
This study aimed to explore issues and practices related to quality training delivery in North Shewa Zone TVET colleges. A mixed-method research design was utilized. A questionnaire, semi-structured interviews, and document analysis were incorporated. Out of 296 questionnaires distributed, 285 valid responses were obtained (response rate = 96.3%), 171 trainees, 66 trainers, 36 staff, and 12 management personnel. Data were analyzed by using descriptive statistics and thematic analysis. The study ...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115335


May 28, 2026Open    Access

Digital Technology Integration Determinants and Implications for Student Performance in Ethiopian Technical and Vocational Education and Training Institutions: A Systematic Review

Gebremedhin Girmay Aregawi, Zhongmin Wang, Wenping Zhao
Digital transformation is increasingly influencing the Technical and Vocational Education and Training systems worldwide. National initiatives such as Digital Ethiopia 2030 and sectoral reforms in Ethiopia, shown by the basis of integration, have prioritized technology in education. Nevertheless, the evidence pointing to elements of successful digital technology integration in competency-based training and their association with student learning outcomes is limited across Ethiopian TVET institut...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115338


May 28, 2026Open    Access

Deep Reinforcement Learning for Personalized Antidepressant Decision Support in Bipolar Spectrum Disorders: Simulated Randomized Trial Framework

Rocco de Filippis, Abdullah Al Foysal
Treatment selection for bipolar depression remains largely trial-and-error, with substantial non-response to first-line strategies and clinically meaningful risk of mood destabilization. We developed a deep reinforcement learning (RL) framework to optimize treatment selection while explicitly penalizing destabilization events. We implemented RL-CADENCE, a simulated multi-centre experimental framework designed to emulate a parallel-group randomized trial across 12 virtual psychiatric centres. Usi...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115137


May 28, 2026Open    Access

PsychoGraph-Net: A Graph-Attentive Deep Learning Framework for Mapping, Predicting, and Interpreting Psychiatric Comorbidity Networks in Liaison Psychiatry

Rocco de Filippis, Abdullah Al Foysal
Psychiatric comorbidity in liaison psychiatry is not random noise, it follows structured, clinically meaningful patterns that standard episodic assessment cannot detect. Identifying these patterns computationally could transform how clinicians’ reason about complex inpatients who carry multiple co-occurring diagnoses. We introduce PsychoGraph-Net, an end-to-end graph-attentive deep learning framework that ingests electronic health record (EHR) data, constructs a weighted psychiatric comorbidity ...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115349


May 28, 2026Open    Access

Mentor Support and Positive Youth Development in Urban Informality: Evidence from Secondary School Students in Kibra, Kenya

Catherine Wanjiru Naliaka Wafula, Wamuyu Teresia Wachira, Peter Koome
Kenyan youth make up a large share of the population, yet many especially in the informal settlement have no consistent adult guidance through their teenage years. This study explored the relationship between mentors and Positive Youth Development (PYD) for secondary-school adolescents in Kibra-Nairobi County. The focus was on mentor relationships, longevity of support, role models, and positive affirmation. The study employed a cross-sectional convergent parallel design, with an overall sample ...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115390


May 28, 2026Open    Access

Determination of Zinc by Solid Surface Fluorescence in Natural Adaptogen Samples

Santiago Selak, Liliana Fernández, Luis Ariel Escudero, María Carolina Talio
Zinc is an essential element for living organisms which plays an important role in the metabolism of proteins and nucleic acids, participating in the activity of approximately 100 enzymes and collaborating in the proper functioning of the immune system. Deficiency of Zn(II) is associated with growth retardation, impaired immune response, premature birth, weight loss and anorexia. On the other hand, adaptogens are a unique group of herbal ingredients used to improve the health of the adrenal syst...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115391


May 28, 2026Open    Access

On Tensor Products of Bounded Linear Operators

Alexander Opiyo Omamo, Priscah Mogotu Omoke, Willy Kangogo
This paper studies tensor products of bounded linear operators on Hilbert spaces. It establishes bilinearity of the tensor product mapping and shows that key operator properties, including rank-one, finite-rank, compactness, and injectivity, are preserved under tensorization. Spectral behavior is analyzed at the level of eigenvalues, where multiplicativity is obtained. In addition, a structural decomposition for tensor products involving bounded and diagonal operators is derived. The paper also ...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115393


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