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Respiratory Transmission Potential of Chikungunya Virus: Integrating Aerosol Stability, Clinical Evidence, and Mechanistic Insights
Tao-An Chen
,Sui-Loi Mak
,Ya-Ting Chuang
,Yu-Hsiang Hsu
Posted: 06 May 2026
Functional and Comparative Phylogenomics of Pathogen-Inhibiting Native Mexican Bacillus velezensis Across Regional and Global Scales Reveal Open Pan-Genome Architecture and Adaptive Divergence
Hilda Mabel Sosa-Esquivel
,Atzin Fraire-Mayorga
,Yadira Yumiko De la Cruz-Rodríguez
,Angélica Judith Granados-López
,Gloria Viviana Cerrillo-Rojas
,Jesús Adrián López
,Saúl Fraire-Velázquez
Posted: 06 May 2026
Pro-Oncogenic Transcription Factors BACH1 and Nrf2 Associate with Cytoplasmic Biomolecular Condensates of GFP-MxA in Oral Cancer Cells
Pravin B. Sehgal
,Huijuan Yuan
Posted: 06 May 2026
Fibroblast Growth Factor Receptor 2b (FGFR2b) in Gastric Cancer: The Challenge of Turning a Target into a Reliable Biomarker
Catalin-Bogdan Satala
,Gabriela Gurău
,Gabriela Patrichi
,Alina-Mihaela Gurau
,Roxana-Cristina Mehedinti
,Daniela Mihalache
Posted: 06 May 2026
Diffusiophoresis of a Charged Dielectric Fluid Droplet in a Cylindrical Pore in the Presence of Diffusion Potential
Lily Chuang
,Eric Lee
Posted: 06 May 2026
Collar Rot of Grapevine Caused by a Novel Pleiocarpon Lineage in Peru
Luis A. Álvarez
,Gabriela Salcedo-Astorima
,Phillip Ormeño-Vásquez
,Naysha Rojas-Villa
,José Soto-Heredia
Posted: 06 May 2026
Squaring the Circle in Neural Engineering: The Rectangular Waveform as a Historical Artefact and the Cost of Convenience
Bernard Delalande
,Hirohisa Tamagawa
Posted: 06 May 2026
Preoperative CT-Based Pelvic Sarcopenia and Subcutaneous Adiposity Predict Anaemia and Operative Time in Acetabular Fracture Surgery: A Retrospective Cohort Study
Kürşat Tuğrul Okur
,Ferid Abdulaliyev
,Süleyman Yalçın
,Eda İştahlı
,Mustafa İştahlı
,Ali Koç
,Fırat Ozan
Posted: 06 May 2026
Distributed Jamming Method for ASLC Systems Based on Random Phase Perturbation
Liang Qi
,Jianjiang Zhou
Posted: 06 May 2026
Review: Circadian Dysfunction, Chronotherapy, and Deep Brain Stimulation (DBS) in Parkinson’s Disease (PD)
Mei Miyazaki Kirby
,Joram J. van Rheede
,Victoria S. Marks
,Derk-Jan Dijk
,Timothy J. Denison
,Timothy G. Constandinou
Posted: 06 May 2026
Impact of Highly Effective CFTR Modulator Therapy on Physical Activity, Sleep, and Sinonasal Symptoms in Preschool Children with Cystic Fibrosis: A Prospective Single-Center Pilot Study
Stella Schellhorn
,Hanna Schmidt
,Ales Janda
,Doris Gülke
,Monika Toth
,Dorit Fabricius
,Sebastian FN Bode
Posted: 06 May 2026
Whole-Genome Sequencing–Based Characterization of HIV-1 in a Tertiary-Care Hospital in Mexico: Drug-Resistance Mutations and Genetic Diversity
Eduardo García-Moncada
,Enoc Mariano Cortés-Malagón
,Jesús Alejandro Pineda-Migranas
,Montserrat Ruiz Santana
,Iliana Alejandra Cortés-Ortíz
,José Francisco Escutia Domínguez
,Daniel Agustín Bravata-Alcántara
,Gustavo Acosta-Altamirano
,Saúl David Razo-González
,Manuel Alberto Castillo Mendez
+2 authors
Human immunodeficiency virus type 1 exhibits extensive genetic diversity, which has important implications for transmission dynamics, disease progression, and the effectiveness of antiretroviral therapy. In Mexico, molecular surveillance has largely relied on partial pol gene sequencing, limiting the detection of recombination events and resistance mutations outside canonical regions. In this study, we performed near-full-length whole-genome sequencing of HIV-1 from 40 treatment-naïve adults receiving care at a tertiary-care hospital in Mexico to characterize drug-resistance mutations, viral genetic diversity, and recombinant forms. Viral RNA was extracted from plasma and sequenced on an Illumina platform, followed by bioinformatic processing and interpretation using the DeepChek pipeline for subtype classification, recombinant profiling, and identification of drug-resistance mutations. Drug-resistance mutations were identified in 6/40 (15.0%) participants. NNRTI-associated DRMs were identified in 2/40 patients (5.0%), whereas NRTI- and protease inhibitor-associated DRMs were each identified in 1/40 patient (2.5%). In addition, accessory INSTI-associated substitutions were detected in 2/40 patients (5.0%). No statistically significant differences were observed between patients with and without DRMs with respect to age, sex, or plasma viral load. Furthermore, DRMs were distributed across all recombinant categories, with no significant association between recombinant profile and DRM presence (p = 0.97). Non-B subtypes and recombinant forms predominated (82.5%), while subtype B accounted for 17.5% of cases. Extensive intergenic recombination was observed, with discordant subtype assignments across gag, pol, and env regions, consistent with mosaic viral genomes. Multiple circulating recombinant forms, including CRF03_AB, CRF07_BC, CRF28_BF, and CRF39_BF, were identified, alongside a predominance of BF-related recombinants. In addition, several unique recombinant forms with complex mosaic structures were detected, reflecting ongoing recombination and viral evolution. These findings highlight the high genetic complexity of HIV-1 in this population, characterized by a predominance of recombinant forms and extensive genomic mosaicism. The detection of DRMs across diverse genetic backgrounds supports the value of baseline resistance testing and suggests that broader genomic surveillance may improve HIV-1 molecular epidemiology monitoring in Mexico.
Human immunodeficiency virus type 1 exhibits extensive genetic diversity, which has important implications for transmission dynamics, disease progression, and the effectiveness of antiretroviral therapy. In Mexico, molecular surveillance has largely relied on partial pol gene sequencing, limiting the detection of recombination events and resistance mutations outside canonical regions. In this study, we performed near-full-length whole-genome sequencing of HIV-1 from 40 treatment-naïve adults receiving care at a tertiary-care hospital in Mexico to characterize drug-resistance mutations, viral genetic diversity, and recombinant forms. Viral RNA was extracted from plasma and sequenced on an Illumina platform, followed by bioinformatic processing and interpretation using the DeepChek pipeline for subtype classification, recombinant profiling, and identification of drug-resistance mutations. Drug-resistance mutations were identified in 6/40 (15.0%) participants. NNRTI-associated DRMs were identified in 2/40 patients (5.0%), whereas NRTI- and protease inhibitor-associated DRMs were each identified in 1/40 patient (2.5%). In addition, accessory INSTI-associated substitutions were detected in 2/40 patients (5.0%). No statistically significant differences were observed between patients with and without DRMs with respect to age, sex, or plasma viral load. Furthermore, DRMs were distributed across all recombinant categories, with no significant association between recombinant profile and DRM presence (p = 0.97). Non-B subtypes and recombinant forms predominated (82.5%), while subtype B accounted for 17.5% of cases. Extensive intergenic recombination was observed, with discordant subtype assignments across gag, pol, and env regions, consistent with mosaic viral genomes. Multiple circulating recombinant forms, including CRF03_AB, CRF07_BC, CRF28_BF, and CRF39_BF, were identified, alongside a predominance of BF-related recombinants. In addition, several unique recombinant forms with complex mosaic structures were detected, reflecting ongoing recombination and viral evolution. These findings highlight the high genetic complexity of HIV-1 in this population, characterized by a predominance of recombinant forms and extensive genomic mosaicism. The detection of DRMs across diverse genetic backgrounds supports the value of baseline resistance testing and suggests that broader genomic surveillance may improve HIV-1 molecular epidemiology monitoring in Mexico.
Posted: 06 May 2026
Perceptual Integrity Governs Trust Under Algorithmic Decision-Making
Abdulmohsen H. Alrohaimi
Posted: 06 May 2026
Glutaminase Inhibition as a Novel Radiosensitizer in Triple Negative Breast Cancer
Mohammad Zahid Kamran
,Anny Ho
,Brittany A. Simone
Posted: 06 May 2026
The “Mushroom Cap Sign” for Fundal Localized Gallbladder Adenomyomatosis
Xiang Ji
Posted: 06 May 2026
Direct Measurement of Activity Concentrations and Assess to Cancer Risk of Radon and Thoron in Homes the Towns of Moanda and Franceville, South-East Gabon
Sylvere Yannick Loemba Mouandza
,Evaldie-Dominique Durastanti-Rabenga Mombo
,Ronixe Bipolo Djeune
,Saïdou
,Ndong Wilfried
,Philippe Ondo Meye
,Beaud Conrad Mabika Ndjembidouma
,Thierry Blanchard Ekogo
,Tokonami Shinji
,Germain Hubert Ben-Bolie
Posted: 06 May 2026
Rethinking Education in the Age of Artificial Intelligence: What and How We Teach and Learn
Harris Wang
Posted: 06 May 2026
A Model for the Higgs Field
Tongsheng Xia
Posted: 06 May 2026
Canine Parvovirus: Epidemiology, Pathogenesis, Diagnosis and Disease Control. PVC: Epidemiology, Pathogenesis, Diagnosis and Control
Evelin Pamela Rodríguez Huera
,David Fabricio Martínez Matamoros
,Maritza D. Ruiz Medina
Posted: 06 May 2026
Sleep Quality and Physical Activity of Night Shift Nurses Working at Hospitals by Age,Education Level and Work Experience: A Survey-Based Study
Vilma Zydziunaite
Background/Objectives: The aim of the study was to explore the specific relationships between sleep quality, physical activity levels, and demographic characteristics (age, education level, and work experience) in night shift nurses working at hospitals. Understanding these relationships is critical for developing evidence-based scheduling, educational initiatives for sleep hygiene, and physical activity programs that can mitigate the negative impacts of night work, ultimately promoting workforce sustainability and safer patient health outcomes. Methods: A questioning survey was conducted involving 400 night shift nurses. Data were collected using a questionnaire, which included Individual Characteristics Form, Pittsburgh Sleep Quality Index and International Physical Activity Questionnaire – Short Form. Results: The sleep quality of night shift nurses differed statistically significantly by age in almost all sub-scales except for the sub-scale “habitual sleep efficiency”. The youngest nurses rated their subjective sleep quality the best, while the oldest nurses rated their sleep quality the worst. Physical activity levels differed significantly by age among night shift nurses. Specifically, the youngest group showed a higher proportion of high physical activity compared to the oldest group of night shift nurses. Conclusions: Night shift work is a primary driver of poor sleep quality among nurses, regardless of age, experience, or education level. Physical activity is strongly linked to better sleep quality among night shift nurses.
Background/Objectives: The aim of the study was to explore the specific relationships between sleep quality, physical activity levels, and demographic characteristics (age, education level, and work experience) in night shift nurses working at hospitals. Understanding these relationships is critical for developing evidence-based scheduling, educational initiatives for sleep hygiene, and physical activity programs that can mitigate the negative impacts of night work, ultimately promoting workforce sustainability and safer patient health outcomes. Methods: A questioning survey was conducted involving 400 night shift nurses. Data were collected using a questionnaire, which included Individual Characteristics Form, Pittsburgh Sleep Quality Index and International Physical Activity Questionnaire – Short Form. Results: The sleep quality of night shift nurses differed statistically significantly by age in almost all sub-scales except for the sub-scale “habitual sleep efficiency”. The youngest nurses rated their subjective sleep quality the best, while the oldest nurses rated their sleep quality the worst. Physical activity levels differed significantly by age among night shift nurses. Specifically, the youngest group showed a higher proportion of high physical activity compared to the oldest group of night shift nurses. Conclusions: Night shift work is a primary driver of poor sleep quality among nurses, regardless of age, experience, or education level. Physical activity is strongly linked to better sleep quality among night shift nurses.
Posted: 06 May 2026
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