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The Effects Of Abused Drugs On Ferroptosis Pathways: Potential Therapeutic Targets For Substance Use Disorders, Tamara Bouchard, Brooke Russell, Liam Liyang Guo, Tina Nguyen, Yan Cheng, Yan Y. Sanders, Ming-Lei Guo Jan 2026

The Effects Of Abused Drugs On Ferroptosis Pathways: Potential Therapeutic Targets For Substance Use Disorders, Tamara Bouchard, Brooke Russell, Liam Liyang Guo, Tina Nguyen, Yan Cheng, Yan Y. Sanders, Ming-Lei Guo

Department of Biomedical and Translational Sciences Faculty Publications

Substance use disorders (SUDs) remain major public health concerns worldwide, particularly in developed countries. SUDs are characterized by persistent neuroinflammation and synaptic dysfunction in the brain. Despite decades of extensive investigation, the detailed mechanisms underlying SUDs remain elusive. Ferroptosis is a highly regulated cell death process deeply affected by iron metabolism, lipid peroxidation, reactive oxygen species (ROS) production, and antioxidant systems. It has been implicated in multiple neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, and ischemic stroke. Recently, emerging evidence has highlighted the role of ferroptosis in drug-induced pathological changes. Various types of abused substances including alcohol, cocaine, …


Redefining Family Law, 2026: New State Laws From 2025, Family Law Quarterly 2025–2026 Editors, New York Law School Jan 2026

Redefining Family Law, 2026: New State Laws From 2025, Family Law Quarterly 2025–2026 Editors, New York Law School

Redefining Family Law: State Legislative Updates

This is the fifth annual Family Law Quarterly article discussing new state family laws that were enacted in the previous year. The article discusses 34 laws from 27 states, New York City, and the District of Columbia, grouped into the following categories: (1) Child Welfare, (2) Parents’ and Children’s Rights, (3) Parentage, (4) Child Custody and Visitation, (5) Financial Support, (6) Domestic Violence, and (7) Technology and Artificial Intelligence. Specific topics of the laws featured in this article include, among others: • Restrictions on anonymous reports of child abuse and neglect (New York); • Protections for gender-affirming and reproductive health …


Senescent Fibroblasts In Aging And Pulmonary Fibrosis, Sara B. Palega, Aiwei Y. Borengasser, Yan Y. Sanders Jan 2026

Senescent Fibroblasts In Aging And Pulmonary Fibrosis, Sara B. Palega, Aiwei Y. Borengasser, Yan Y. Sanders

Microbiology & Molecular Cell Biology Faculty Publications

Aging is a major risk factor for many chronic lung diseases, including Idiopathic Pulmonary Fibrosis (IPF), a fatal and incurable disease characterized by progressive fibrotic remodeling. Age-associated structural alterations, impaired regenerative capacity, and dysregulated cellular signaling collectively create a pro-fibrotic microenvironment. A central driver of this pathological shift is the accumulation of senescent cells, which undergo irreversible growth arrest and develop a robust pro-inflammatory senescence-associated secretory phenotype (SASP). Emerging evidence identifies senescent lung fibroblasts as critical mediators of IPF pathogenesis. These cells promote excessive extracellular matrix deposition, myofibroblast differentiation, and tissue stiffening, while simultaneously impairing epithelial regeneration. Together, these effects …


Single-Cell Transciptomic Analysis Reveals Age-Related Remodeling Of Brain Endothelial Cells, Hai Duc Nguyen, Summer Siddiqui, Diana G. Bohannon, Robert V. Blair, Hong-Wen Deng, Alexandre Prat, Woong-Ki Kim Jan 2026

Single-Cell Transciptomic Analysis Reveals Age-Related Remodeling Of Brain Endothelial Cells, Hai Duc Nguyen, Summer Siddiqui, Diana G. Bohannon, Robert V. Blair, Hong-Wen Deng, Alexandre Prat, Woong-Ki Kim

Microbiology & Molecular Cell Biology Faculty Publications

Blood–brain barrier (BBB) integrity naturally declines with age. Brain endothelial cells (ECs) and pericytes (PCs) form the BBB, and aging impairs tight junctions, likely via altered PC-to-EC signaling. However, the molecular mechanisms underlying this impairment remain unclear. Using single-cell RNA sequencing, we profiled 68,316 brain ECs expressing 15,564 genes from young and old mice. Unsupervised clustering and annotation revealed five distinct EC subtypes—Capillary EC1, Capillary EC2, Arterial EC, Venous EC1, and Venous EC2—defined by marker genes Mfsd2a, Plvap, Bmx, Nr2f2, and Vcam1, respectively. Aging shifted EC subtype distribution, with reduced Capillary EC1 (45% vs. 57%) and increased Arterial …


Mepolizumab Improves Outcomes In Patients With Crswnp With One Or More Prior Nasal Polyp Surgeries, Joseph K. Han, Joaquim Mullol, Martin Wagenmann, Laura Walrave, Lingjiao Zhang, Ana R. Sousa, Peter Howarth, Claire Hopkins Jan 2026

Mepolizumab Improves Outcomes In Patients With Crswnp With One Or More Prior Nasal Polyp Surgeries, Joseph K. Han, Joaquim Mullol, Martin Wagenmann, Laura Walrave, Lingjiao Zhang, Ana R. Sousa, Peter Howarth, Claire Hopkins

Department of Otolaryngology (ENT) Faculty Publications

BACKGROUND: Patients with chronic rhinosinusitis with nasal polyps (CRSwNP) often undergo multiple nasal surgeries. The Phase III SYNAPSE study (GSK ID:205687; NCT0308579) demonstrated that mepolizumab reduces the need for repeat surgery. We explored whether outcomes differed based on the number of prior surgeries. METHODOLOGY: This post hoc analysis of SYNAPSE stratified patients by history of 1 or more than 1 prior surgery. Patients were randomised to receive mepolizumab or placebo every 4 weeks, alongside standard of care, for 52 weeks. Outcomes included change from baseline in endoscopic nasal polyp (NP) score, visual analogue scale (VAS) scores for nasal obstruction, loss …


Clinical Microbiology & Infectious Diseases: A Concise Guide On The Fundamentals Of Infectious Disease In Podiatric Medical Education, Paramita Basu Jan 2026

Clinical Microbiology & Infectious Diseases: A Concise Guide On The Fundamentals Of Infectious Disease In Podiatric Medical Education, Paramita Basu

Open Touro Created

2026

This Open Educational Resource (OER), Clinical Microbiology & Infectious Diseases, is a student-centered textbook designed to support pre-clinical podiatric medical students enrolled in PCLP 610 Infectious Diseases at the New York College of Podiatric Medicine. The book is structured as a collection of concise “chapter briefs” or high‑yield notes that align closely with the course syllabus, lecture objectives, and student learning outcomes, while also reflecting the Microbiology learning objectives outlined in the AACPM Council of Faculties Curricular Guide.

The content covers core principles of medical microbiology and infectious diseases, including bacteria, viruses, fungi, parasites, host–pathogen interactions, antimicrobial therapy, resistance …


External Validation Of A Knowledge-Based Clinical Toxicology Consultant For Diagnosing Single Exposures, Hugo Lerogeron, Joel D. Schipper, Jay L. Schauben, Laurent Guéguen, Valentine Lacotte, Kim An Nguyen Jan 2026

External Validation Of A Knowledge-Based Clinical Toxicology Consultant For Diagnosing Single Exposures, Hugo Lerogeron, Joel D. Schipper, Jay L. Schauben, Laurent Guéguen, Valentine Lacotte, Kim An Nguyen

Publications

Introduction

Clinical prediction models assist healthcare providers in estimating disease likelihood using multiple patient-specific factors. While these models are increasingly used, few undergo the essential process of external validation, which limits their clinical utility. In toxicology, timely diagnosis is crucial and expertise scarce, making knowledge-based systems an excellent choice to support medical decision making. A knowledge-based system developed using data from the Florida Poison Information Center Network has shown promise but lacks external validation. This study aims to evaluate its performance using data from the Lyon Poison Information Center to assess its generalizability

Methods

To externally validate the Florida diagnostic …


Sappan And Tingi Wood As A Dye For Gmelina (Gmelina Arborea Roxb.) And Lento-Lento Wood (Arthrophillum Diversifollium) At Different Coloring Duration, Andi Detti Yunianti, S Ssuhasman, Kidung Tirtayasa Putra Pangestu, Muthmainnah Muthmainnah, Abdul Hapid, Gustan Pari, Lisna Efiyanti Jan 2026

Sappan And Tingi Wood As A Dye For Gmelina (Gmelina Arborea Roxb.) And Lento-Lento Wood (Arthrophillum Diversifollium) At Different Coloring Duration, Andi Detti Yunianti, S Ssuhasman, Kidung Tirtayasa Putra Pangestu, Muthmainnah Muthmainnah, Abdul Hapid, Gustan Pari, Lisna Efiyanti

Baghdad Science Journal

This study investigates the effects of dyeing duration and soaking pre-treatment on the coloring performance of Sappan (Caesalpinia sappan) and Tingi (Ceriops candolleana) dyes applied to Gmelina (Gmelina arborea Roxb.) and Lento-lento (Arthrophyllum diversifolium) woods. Test samples were prepared, pre-treated by soaking at 80°C for 24 hours to remove extractives of the wood, and then colored using Sappan and Tingi dyes at 80°C for 6 and 12 hours. The depth of dye penetration was measured using a stereo microscope, and color variations were assessed using the CIELab color space. Gas chromatography-mass spectrometry (GCMS) …


Roasting-Dependent Changes In Antioxidant Activity And Metabolite Profiles Of Coffea Liberica: Unraveling Bioactive Compounds And Their Functional Properties, Nuratikah Abdullah, Lay Kek Teh, Mohd Zaki Salleh, Mohd Salleh Rofiee, Lay Jing Seow, Eleena Mohd Yusof, Ye Han Sam, Eng Keng Seow Jan 2026

Roasting-Dependent Changes In Antioxidant Activity And Metabolite Profiles Of Coffea Liberica: Unraveling Bioactive Compounds And Their Functional Properties, Nuratikah Abdullah, Lay Kek Teh, Mohd Zaki Salleh, Mohd Salleh Rofiee, Lay Jing Seow, Eleena Mohd Yusof, Ye Han Sam, Eng Keng Seow

Baghdad Science Journal

Coffea liberica, despite its high antioxidant activity reported in the green bean, has had limited research in the literature on changes in metabolite profiling across different roasting levels. Therefore, the objective of the present study was to evaluate the antioxidant activity and metabolite profiling of the green beans and various roasting levels of Coffea liberica brew using multiple antioxidant assays namely (total phenolic content, total flavonoid content, 1,1-Diphenyl-1-picrylhydrazyl, ferric reducing antioxidant power, 2,2’-azinobis(3-ethylbenzothiazoline-6-sulfonic acid), and hydrogen peroxide scavenging activity) and liquid chromatography mass spectrometry coupled with quadrupole time-of-flight (LC/MS-QTOF), respectively. Notably, light-roasted coffee brew retained the highest antioxidant activity …


Effect Of Mycovirus Infection On The Hydrolytic Enzymes Activity Of Fusarium Oxysporum F. Sp. Cubense Tropical Race 4, The Causal Agent Of Banana Fusarium Wilt, Zhi-Qin Lai, Clement Kiing Fook Wong, Nor Ismaliza Binti Mohd Ismail, Ganesan Vadamalai Jan 2026

Effect Of Mycovirus Infection On The Hydrolytic Enzymes Activity Of Fusarium Oxysporum F. Sp. Cubense Tropical Race 4, The Causal Agent Of Banana Fusarium Wilt, Zhi-Qin Lai, Clement Kiing Fook Wong, Nor Ismaliza Binti Mohd Ismail, Ganesan Vadamalai

Baghdad Science Journal

Fusarium oxysporum f.sp cubense Tropical Race 4 also known as Fusarium odoratissimum (FO) is a fungal pathogen affecting banana (Musa spp.). It secretes plant cell-wall degrading enzymes (PCWDEs) to penetrate and colonize roots, resulting in wilting symptoms and host death. Mycovirus is a virus that infects fungus. It was discovered that mycovirus could be a biocontrol agent by causing hypovirulence in fungal pathogens, a typical symptom of suppressed pathogenicity of an infected host. Hypovirulence was also associated to reduced PCWDE activity in several plant fungal pathogens. To date, no hypovirulent mycovirus was reported in FO. Hence, this study …


Impact Of Protein Corona Morphology On Nanoparticle Diffusion In Biological Fluids: Insights From A Mesoscale Approach, Beatrice Cipriani, Hender Lopez Jan 2026

Impact Of Protein Corona Morphology On Nanoparticle Diffusion In Biological Fluids: Insights From A Mesoscale Approach, Beatrice Cipriani, Hender Lopez

Research Outputs: 2025-Present

Nanoparticles (NPs) demonstrate considerable potential in medical applications, including targeted drug delivery and diagnostic probes. However, their efficacy depends on their ability to navigate through the complex biological environments inside living organisms. In such environments, NPs interact with a dense mixture of biomolecules, which can reduce their mobility and hinder diffusion. Understanding the factors influencing NP diffusion in these environments is key to improving nanomedicine design and predicting toxicological effects. In this study, we propose a computational approach to model NP diffusion in crowded environments. We introduce a mesoscale model that accounts for the combined effects of the protein corona …


Editorial: Sustainable Management Of Tuta Absoluta, Ahmad A. Omar, Inusa Jacob Ajene, Hafiz Muhammad Usman Aslam, Fathiya Mbarak Khamis Jan 2026

Editorial: Sustainable Management Of Tuta Absoluta, Ahmad A. Omar, Inusa Jacob Ajene, Hafiz Muhammad Usman Aslam, Fathiya Mbarak Khamis

All Peer-Reviewed Publications

The tomato leafminer, Tuta absoluta (Meyrick), remains one of the most devastating global threats to tomato production. Its rapid invasion across continents, exceptional reproductive potential, cryptic foliar-mining behavior, and accelerated evolution of insecticide resistance have significantly complicated management efforts. The persistent failure of conventional chemical strategies underscores an urgent need for integrated solutions that combine molecular innovation, ecological engineering, and rigorous resistance monitoring. This editorial synthesizes key insights from recent contributions by Ullah et al., Bavithra et al., and Adams et al., which collectively outline a transformative, multi-dimensional framework for sustainable T. absoluta suppression.


Effect Of Endophytic Fungi On Thrips Tabaci Development And Population Dynamics, Ngoc Anh Vu, Sevgan Subramanian, Rainer Meyhöfer Jan 2026

Effect Of Endophytic Fungi On Thrips Tabaci Development And Population Dynamics, Ngoc Anh Vu, Sevgan Subramanian, Rainer Meyhöfer

All Peer-Reviewed Publications

Endophytic fungi are promising biocontrol agents because they colonise healthy plant tissues asymptomatically while inducing systemic resistance that negatively affects herbivorous insects. We investigated whether treatments with the endophytes Trichoderma harzianum and Beauveria bassiana in two onion cultivars (Allium cepa L.; Sturon and Red Baron) induce plant responses that alter Thrips tabaci behaviour and population development. Under controlled conditions, seeds were treated with conidial suspensions and plants subsequently received foliar applications; plants were then exposed to T. tabaci for 72 h, 4 weeks, or 8 weeks in no-choice assays. Both endophytes reduced thrips host-plant preference: at 72 h post-exposure, inoculated …


First Record Of Arrhenophagus Chionaspidis Aurivillius (Hymenoptera: Encyrtidae) Parasitizing White Mango Scale In Kenya: Its Potential Distribution And Prospects In Biocontrol, Francis Obala, Abdelmutalab G.A. Azrag, Rehemah Gwokyalya, Shepard Ndlela, Ingo Grass, Georg Petschenka, Sunday Ekesi, Samira A. Mohamed Jan 2026

First Record Of Arrhenophagus Chionaspidis Aurivillius (Hymenoptera: Encyrtidae) Parasitizing White Mango Scale In Kenya: Its Potential Distribution And Prospects In Biocontrol, Francis Obala, Abdelmutalab G.A. Azrag, Rehemah Gwokyalya, Shepard Ndlela, Ingo Grass, Georg Petschenka, Sunday Ekesi, Samira A. Mohamed

All Peer-Reviewed Publications

The white mango scale, Aulacaspis tubercularis Newstead (Hemiptera: Diaspididae), is one of the most destructive pests of mango worldwide. Its current management in most of the invaded areas largely depends on the intensive use of chemical insecticides. Biological control using parasitoids represents one of the most effective and environmentally sustainable management options. However, in Kenya, one of Africa's leading mango-producing countries, no effective parasitoid species associated with A. tubercularis had previously been recorded. This study aimed to identify encyrtid parasitoids associated with A. tubercularis in Kenya, and to assess how bioclimatic factors influence their occurrence and habitat suitability. Mango leaves …


Oligonychus Trichardti (Acari: Tetranychidae) Associated With Urochloa Grasses In Kenya: An Integrative Taxonomic Approach, Paula Espitia-Buitrago, Claudia Perea, Lavender A. Odhiambo, Rosa N. Jauregui, Frank Chidawanyika Jan 2026

Oligonychus Trichardti (Acari: Tetranychidae) Associated With Urochloa Grasses In Kenya: An Integrative Taxonomic Approach, Paula Espitia-Buitrago, Claudia Perea, Lavender A. Odhiambo, Rosa N. Jauregui, Frank Chidawanyika

All Peer-Reviewed Publications

Spider mites represent a significant constraint to improved forage grass adoption in East Africa, particularly affecting Urochloa cultivars that are crucial for addressing the region’s 40% livestock feed gap. This study employed an integrative taxonomic approach combining morphological and molecular analyses to identify a spider mite species infesting Urochloa interspecific grasses in Kenya. A colony of 80 spider mites was established from symptomatic Urochloa hybrid cv. Cayman plants collected from Mbita Point, Kenya, showing characteristic foliar chlorosis and necrotic spots. Morphological examination of 46 slide-mounted specimens using Hoyer’s medium revealed consistent morphotypical features characteristic of Oligonychus (Reckiella) trichardti Meyer, 1974. …


Reinterpreting Stochastic Optimal Control Under Ecological Uncertainty: Inferring Decision Urgency From Vegetation Biomass Dynamics, Komi Mensah Agboka, Tobias Landmann, Elfatih M. Abdel-Rahman Jan 2026

Reinterpreting Stochastic Optimal Control Under Ecological Uncertainty: Inferring Decision Urgency From Vegetation Biomass Dynamics, Komi Mensah Agboka, Tobias Landmann, Elfatih M. Abdel-Rahman

All Peer-Reviewed Publications

Stochastic optimal control provides a rigorous framework for systems subject to uncertainty, yet its operational use in ecological crisis contexts remains limited by interpretability. We reinterpreted a stochastic control formulation in which selected parameters emerged as indicators of decision urgency rather than normative preferences. Vegetation biomass was modeled as a stochastic stock subject to nonlinear loss driven by feeding pressure (e.g., desert locust activity) and multiplicative noise, with uncertainty represented by a time-varying volatility term that integrated extreme rainfall anomalies and conflict-related disruption. Rather than prescribing an optimal policy, we inverted the closed-form solution of the control problem to infer …


Effects Of Temperature On The Life-History Traits Of Myzus Persicae And Its Efficiency In Transmitting Potato Virus Y (Pvy) In Potato Crops, Bonoukpoè M. Sokame, Henri E. Tonnang, Heidy Gamarra, Pablo Carhuapoma, Jan Kreuze, Leah R. Johnson, Ali Arab, Peter A. Armbruster, Oswaldo C. Villena Jan 2026

Effects Of Temperature On The Life-History Traits Of Myzus Persicae And Its Efficiency In Transmitting Potato Virus Y (Pvy) In Potato Crops, Bonoukpoè M. Sokame, Henri E. Tonnang, Heidy Gamarra, Pablo Carhuapoma, Jan Kreuze, Leah R. Johnson, Ali Arab, Peter A. Armbruster, Oswaldo C. Villena

All Peer-Reviewed Publications

Aphids are highly sensitive to temperature changes and play a crucial role in transmitting plant viruses, accounting for the transmission of more than 50% of viruses that cause disease in crops. Among them, Myzus persicae is a major global pest, affecting over 400 plant species and transmitting more than 100 plant viruses, including potato virus Y (PVY), which poses a severe threat to potato crops. This study examines how temperature influences the life-history traits of M. persicae and its efficiency in transmitting PVY. Our research revealed that temperature significantly affects developmental duration, survival, and fecundity of M. persicae. The aphids …


Impact Of Environmental Microparticles On Insect Olfaction, Steve B.S. Baleba, Danube K.N. Wandji, Yves H. Tchiechoua, Komi Mensah Agboka, Iman B. Hassaballa, Victor O. Omondi, Beatrice T. Nganso, Saliou Niassy, Souleymane Diallo, Merid N. Getahun Jan 2026

Impact Of Environmental Microparticles On Insect Olfaction, Steve B.S. Baleba, Danube K.N. Wandji, Yves H. Tchiechoua, Komi Mensah Agboka, Iman B. Hassaballa, Victor O. Omondi, Beatrice T. Nganso, Saliou Niassy, Souleymane Diallo, Merid N. Getahun

All Peer-Reviewed Publications

Terrestrial insects underpin key ecosystem services, including pollination, herbivory regulation, decomposition, nutrient cycling, and disease control. These functions depend on chemical communication that guides insects to food, mates, hosts, shelters, and oviposition sites while helping them avoid threats. Environmental microparticles, such as micro- and nanoplastics, tyre wear particles, soot, mineral dust, and agricultural residues, are now widespread across air, soil, vegetation, and indoor environments, exposing insects through contact, deposition, and ingestion. Growing evidence shows that these particles disrupt insect olfaction by adsorbing volatile compounds, blocking antennal sensilla, and interfering with receptor and neuronal processes. These disruptions impair foraging, mating, oviposition, …


Privacy-Preserving Federated Learning With Optimized Ensemble Weighting And Knowledge Distillation For Covid-19 Detection From Non-Iid Medical Imaging Data, Richard Annan, Hong Qin, Robert Newman, Madhuri Siddula, Letu Qingge Jan 2026

Privacy-Preserving Federated Learning With Optimized Ensemble Weighting And Knowledge Distillation For Covid-19 Detection From Non-Iid Medical Imaging Data, Richard Annan, Hong Qin, Robert Newman, Madhuri Siddula, Letu Qingge

Computer Science Faculty Publications

Medical imaging enables rapid and accurate diagnosis of COVID-19, with CT scans proving especially effective. However, data privacy concerns limit collaborative model development across hospitals. To address this issue, we introduce a novel federated learning framework. It is referred to as Independent Knowledge Distillation with post-Ensemble Federated Learning (IKDEFL). Differential Privacy (DP) is integrated into the framework to improve privacy guarantees. Three DP mechanisms are evaluated. These include Fixed Gaussian, Gaussian Adaptive, and Tree Adaptive. The evaluation has been conducted on heterogeneous and Non-Independent and Identically Distributed (Non-IID) datasets. These datasets reflect real-world hospital scenarios. Results show that IKDEFL significantly …


Biosecure-Llm Framework: Protecting Llms From Cyberbiosecurity Threats And The Case For Independent Ai Safety Governance, Xavier-Lewis Palmer, Lucas Potter, Srdjan Lesaja, Sotirios Karathanasis, Mohammad Ghasemigol Jan 2026

Biosecure-Llm Framework: Protecting Llms From Cyberbiosecurity Threats And The Case For Independent Ai Safety Governance, Xavier-Lewis Palmer, Lucas Potter, Srdjan Lesaja, Sotirios Karathanasis, Mohammad Ghasemigol

Computer Science Faculty Publications

Large Language Models (LLMs) are becoming critical infrastructure in scientific, healthcare, and governmental contexts. As frontier AI laboratories increasingly partner with government agencies, a fundamental question arises: Who should control the safety and policy-enforcement layers that constrain model behavior? Current safety mechanisms (LLM guardrails) are typically designed for generic "harmlessness" and operate by detecting semantic patterns and refusing requests. However, they are inadequate governance instruments because they cannot implement auditable, domain-specific controls tied to external regulatory policy objects (e.g., control lists or rules governing personally identifying information). Even a perfectly aligned model is not able to express institution-specific policy without …


Attf-Gnn: An Attention-Based Multi-Omics Graph Neural Network With Modality Learning For Disease Subtyping, Sovon Chakraborty, Eleni Adam, Terry Stilwell, Harold Riethman, Desh Ranjan, Pratip Rana Jan 2026

Attf-Gnn: An Attention-Based Multi-Omics Graph Neural Network With Modality Learning For Disease Subtyping, Sovon Chakraborty, Eleni Adam, Terry Stilwell, Harold Riethman, Desh Ranjan, Pratip Rana

Computer Science Faculty Publications

We propose AttF-GNN, an attention-based graph fusion strategy for diseases classification and subtyping. In multiomics analysis, not all types of molecular data are equally relevant for disease subtyping and considering all modalities equally may obscure discriminative signals and limit the effectiveness of predictive models by overlooking modality-specific contributions. Therefore, we design an attention-based multimodal GraphSAGE framework that can automatically emphasize the modalities providing the most relevant information for classification. At first, we have constructed three graphs using mRNA, RNA-seq and DNA methylation modalities, and train each omics with individual GraphSAGE encoders. Next, a unified intersection graph is formed using an …


An Investigation Of Federated Gnns Under Aggregation, Data Poisoning, And Differential Privacy For Icu Length-Of-Stay Prediction, Shakib Mahmud Dipto, Soumya Banerjee, Sandip Roy, Ahmad F. Al Musawi, Preetam Ghosh, Sachin Shetty, Pratip Rana Jan 2026

An Investigation Of Federated Gnns Under Aggregation, Data Poisoning, And Differential Privacy For Icu Length-Of-Stay Prediction, Shakib Mahmud Dipto, Soumya Banerjee, Sandip Roy, Ahmad F. Al Musawi, Preetam Ghosh, Sachin Shetty, Pratip Rana

Computer Science Faculty Publications

Accurate prediction of ICU Length of Stay (LoS) is essential for clinical decision-making and healthcare resource management. Graph Neural Networks (GNNs), such as GraphSAGE, offer a natural fit by capturing patient data from Electronic Health Records (EHRs) through graph structures. However, the distributed and sensitive nature of this data raises both privacy and legal concerns regarding the aggregation and training of GNN models. This additionally leads to issues with data imbalance and model robustness. In this study, we perform an analysis of the Federated Graph Neural Network (GNN-FL) framework to enable decentralized learning on EHRs derived from the MIMIC-III dataset. …


Larval Crowding In Culex Pipiens Generates Cumulative Cascading Effects Under Changing Environmental Conditions, Sengul Talay, Zafer Sakaci, Michele C. Weigle, Bugrahan Regaip Kilinc, Jenah Parman, Holly Gaff, Deniz Sirin, Bulent Alten, Dennis Bente, Sirri Kar Jan 2026

Larval Crowding In Culex Pipiens Generates Cumulative Cascading Effects Under Changing Environmental Conditions, Sengul Talay, Zafer Sakaci, Michele C. Weigle, Bugrahan Regaip Kilinc, Jenah Parman, Holly Gaff, Deniz Sirin, Bulent Alten, Dennis Bente, Sirri Kar

Computer Science Faculty Publications

Density-dependent population regulation is a fundamental driver in the population dynamics of living systems, ensuring a balanced and sustainable maintenance in nature. It has been suggested that the adverse developmental and morphological effect of high larval density in container mosquitoes represents a significant limiting factor for population density, and the need to investigate this possible importance within the framework of field-based principles has been emphasized. This semi-field study, conducted under the natural thermal regime and using a natural population in Turkish Thrace, aimed to examine the effects of non-food-limiting larval density (crowding effect) in the mosquito species, Culex pipiens ( …


Attention-Based Multi-Omics Fusion For Drug Synergy Prediction, Kusal Debnath, Pratip Rana, Preetam Ghosh Jan 2026

Attention-Based Multi-Omics Fusion For Drug Synergy Prediction, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug combination therapy in disease management gained popularity in the last few decades. Computational modeling of such combinations is an active area of research in the drug discovery domain. While earlier approaches solely emphasized on the structural features of participating drugs for designing synergistic models, they lack other crucial factors directly linked with drug administration - omics expressions. As differential omics expression is a downstream consequence of the administered drug combinations, utilizing such expressions while designing synergistic models promises robust and dynamic modeling. In this work, we propose SynergyLM that fuses multi-omics features with drug embeddings to build an omics-aware …


Chromnet: A Multi-Task Learning Framework For Cross-Cell Type Prediction Of 3d Chromatin Interactions Using Epigenetic Signals, Bin Wang, Shaokai Wang, Liqing Ding, Hongdong Li, Yaohang Li, Jianxin Wang Jan 2026

Chromnet: A Multi-Task Learning Framework For Cross-Cell Type Prediction Of 3d Chromatin Interactions Using Epigenetic Signals, Bin Wang, Shaokai Wang, Liqing Ding, Hongdong Li, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

The 3D organization of chromatin plays a fundamental role in gene regulation, cellular function, and disease mechanisms. However, current experimental techniques, such as Hi-C, remain costly and labor-intensive, limiting their application in large-scale and disease-related studies. To address this challenge, ChromNet is presented, a multi-task learning framework that integrates epigenetic signals across diverse cell types to enable high-precision prediction of chromatin architecture. By incorporating noise perturbation and auxiliary classification tasks, ChromNet improves the identification of topologically associating domains (TADs) and cell-type-specific chromatin structures, demonstrating superior generalization performance. Notably, ChromNet accurately predicts chromatin interactions in acute myeloid leukemia (AML) samples by …


Comparing Autodissemination, Soil Inoculation And Their Combination As Modes Of Application Of Metarhizium Anisopliae Icipe 69 On The Melon Fly Infesting Courgette In Kenya Under Semi-Field Conditions, Rehemah Gwokyalya, Thomas Dubois, Susan K. Onsongo, Joseph A. Odhiambo, Komivi Senyo Akutse, Samira A. Mohamed Jan 2026

Comparing Autodissemination, Soil Inoculation And Their Combination As Modes Of Application Of Metarhizium Anisopliae Icipe 69 On The Melon Fly Infesting Courgette In Kenya Under Semi-Field Conditions, Rehemah Gwokyalya, Thomas Dubois, Susan K. Onsongo, Joseph A. Odhiambo, Komivi Senyo Akutse, Samira A. Mohamed

All Peer-Reviewed Publications

The melon fly Zeugodacus cucurbitae (Coquillett) (Diptera: Tephritidae) is a significant pest of cucurbit crops, responsible for substantial yield losses and economic damage across Asia and Sub-Saharan Africa. Control of this pest currently relies heavily on synthetic insecticides, which are associated with environmental and human health risks, and contribute to the development of insecticide resistance. Entomopathogenic fungi offer a promising eco-friendly alternative, yet effectiveness of delivery methods remains a critical limitation in their widespread adoption. This study evaluated the efficacy of three application modes of Metarhizium anisopliae (Mechnikov) Sorokin (Hypocreales: Clavicipitaceae) isolate ICIPE 69, autodissemination devices (AD), soil inoculation (soil), …


Fumigant Toxicity Of Essential Oils From Chemotypes Of Curry Tree (Murraya Koenigii) Against Adult African Malaria Mosquito (Anopheles Gambiae Sensu Stricto), Clarence M. Mang’Era, Fathiya M. Khamis, Ahmed Hassanali, Paul O. Mireji Jan 2026

Fumigant Toxicity Of Essential Oils From Chemotypes Of Curry Tree (Murraya Koenigii) Against Adult African Malaria Mosquito (Anopheles Gambiae Sensu Stricto), Clarence M. Mang’Era, Fathiya M. Khamis, Ahmed Hassanali, Paul O. Mireji

All Peer-Reviewed Publications

The toxicity of fumigant formulations of essential oils (EOs) from curry tree (Murraya koenigii (L.) Spreng (Rutaceae)) against African malaria adult mosquito (Anopheles gambiae sensu stricto (Giles, 1902) (Diptera: Culicidae: Culicini)) was evaluated to identify most effective chemotype of the curry tree against the mosquitoes. Ninety-two compounds (91.78%–96.47% coverage) in the EO profiles were identified, among which EO isolated from curry tree chemotype from Kibwezi was most toxic. This chemotype had a median lethal dose (LD50) of 3.6 × 10−3 mg/cm3 (95% CI: 2.70–4.58) and a lethal time (Ti50) of 1.91 ± 0.086 h (p < 0.001). The equivalent LD50 of EOs of chemotypes from Mombasa, Makindu, and Malindi in Kenya was 4.9 × 10−3, 6.6 …


Thermal Requirements And Phenology Modelling Of A Drosophila Suzukii Population: Implications For Pest Risk Under A Changing Climate, Shepard Ndlela, Abdelmutalab G.A. Azrag, Esther Owino Awuor, Ibrahim Maholidy Farid, Samira Abuelgasim Mohamed Jan 2026

Thermal Requirements And Phenology Modelling Of A Drosophila Suzukii Population: Implications For Pest Risk Under A Changing Climate, Shepard Ndlela, Abdelmutalab G.A. Azrag, Esther Owino Awuor, Ibrahim Maholidy Farid, Samira Abuelgasim Mohamed

All Peer-Reviewed Publications

Drosophila suzukii (spotted-wing drosophila) is an invasive pest causing significant economic losses in soft-skinned fruit crops globally. This study presents comprehensive temperature-dependent life table data and phenology models for an African D. suzukii population collected in Kenya. Developmental time, mortality, fecundity, and adult longevity were assessed under constant temperatures from 12 to 30 °C. Using Insect Life Cycle Modelling (ILCYM) software, linear and nonlinear models were applied to characterise the effects of temperature on life history traits. Additionally, spatial risk indices including Establishment Risk Index (ERI), Generation Index (GI), and Activity Index (AI) were mapped globally for current and future …


Sustainable Control Of Pests And Striga Weed Through Intensified Push-Pull Technology And Frass-Based Soil Amendments, Evanson R. Omuse, Honest Machekano, Daniel M. Mutyambai, Dennis Beesigamukama, Chrysantus M. Tanga, Samwel O. Ogaji, Sevgan Subramanian, Frank Chidawanyika Jan 2026

Sustainable Control Of Pests And Striga Weed Through Intensified Push-Pull Technology And Frass-Based Soil Amendments, Evanson R. Omuse, Honest Machekano, Daniel M. Mutyambai, Dennis Beesigamukama, Chrysantus M. Tanga, Samwel O. Ogaji, Sevgan Subramanian, Frank Chidawanyika

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Crop productivity under African smallholder farming systems is faced by numerous challenges, including insect pests, weeds, low soil fertility, and climate change. Sustainable intensification, such as push-pull (PP) technology and vegetable-integrated push-pull (VIPP) technology, coupled with soil organic amendments such as black soldier fly frass fertilizer (BSFFF), can address these agricultural constraints. We investigated the individual and synergistic effects of cropping systems comprising two crops [maize (DK777 variety) and cowpea (KVU27 variety)] and agroecological strategies (PP, VIPP and BSFFF) on the management of pests and Striga weeds and crop productivity in three different geographical areas. Diversified cropping systems (PP and …


Intensified Push-Pull Technology Enhances Above-Ground Arthropod Assemblages And Ecological Balance, Evanson R. Omuse, Honest Machekano, Daniel M. Mutyambai, Bonoukpoe M. Sokame, Chrysantus M. Tanga, Johnson O. Nyasani, Sevgan Subramanian, Frank Chidawanyika Jan 2026

Intensified Push-Pull Technology Enhances Above-Ground Arthropod Assemblages And Ecological Balance, Evanson R. Omuse, Honest Machekano, Daniel M. Mutyambai, Bonoukpoe M. Sokame, Chrysantus M. Tanga, Johnson O. Nyasani, Sevgan Subramanian, Frank Chidawanyika

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Agroecological intensification aims to increase farm productivity, reduce dependency on external inputs, and enhance biodiversity conservation. However, the contribution of recent sustainable agricultural practices to arthropod assemblages and their ecosystem services remains underexplored. Through a 2-year multilocation trial, we investigated the response of above-ground arthropod assemblages and their ecological functions in cowpea and maize grown under monocropping systems and diversified systems (pure and intensified push-pull technologies). Using three sampling methods (visual observations, pitfall traps, sticky traps), a total of 65, 307 arthropod specimens were collected. The most dominant arthropod taxa were Hemiptera (true bugs; 47%), followed by Thysanoptera (thrips; 17%), …