LRRK2 kinase activity regulates Parkinson’s disease-relevant lipids at the lysosome by Michael T. Maloney, Xiang Wang, Rajarshi Ghosh, Shan V. Andrews, Romeo Maciuca, Shababa T. Masoud, Maayan Agam, Richard M. Caprioli, Giuseppe Astarita, Vitaliy V. Bondar, John Chen, Chi-Lu Chiu, Sonnet S. Davis, Audrey Cheuk-Nga Ho, Hoang N. Nguyen, Nicholas E. Propson, Michelle L. Reyzer, Oliver B. Davis, Matthew C. Deen, Sha Zhu, Gilbert Di Paolo, David J. Vocadlo, Anthony A Estrada, Javier de Vicente, Joseph W. Lewcock, Annie Arguello, Jung H. Suh, Sarah Huntwork-Rodriguez, Anastasia G. Henry

“…LRRK2 inhibition normalizes lysosomal function and reduces GSL levels in preclinical models and CSF from LRRK2-PD patients. …”
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Integrated Single-Cell and Spatial Transcriptomic Analysis Identifies ISR-Related Genes Driving Immune Regulation in Parkinson’s Disease by Jiang H, Zhang X, Feng S, Feng W

“…ISR scores were compared across brain cell types, and differentially expressed genes in microglia were further screened using Lasso regression and random forest algorithms. …”
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Thyroid Hormone Therapy for Potential Heart Donors: A Comprehensive Review of Clinical Trials by Mushood Ahmed, Eeshal Zulfiqar, Sonia Hurjkaliani, Aimen Shafiq, Hafsa Arshad Azam Raja, Areeba Ahsan, Aemen Kamran, Laveeza Fatima, Amna Nadeem, Muhammad Abdullah Naveed, Faizan Ahmed, Hritvik Jain, Tallal Mushtaq Hashmi, Muath Baniowda, Mansimran Singh Dulay, Sivaram Neppala, Himaja Dutt Chigurupati, Ali Hasan, Peter Collins, Raheel Ahmed

“…However, findings regarding improvements in cardiac function and transplantation outcomes were inconsistent across studies. …”
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An In-Depth Statistical Analysis of the TARC Parameter to Evaluate the Real Impact of Random Phases in MIMO Antennas by Angel Perez-Miguel, Hildeberto Jardon-Aguilar, Jose Alfredo Tirado-Mendez, Ricardo Gomez-Villanueva, Ruben Flores-Leal, Erik Fritz-Andrade

“…Additionally, we have introduced the term “TARC shadow”, a visual representation of the TARC as a function of the frequency where the probability function is projected into this 2D graphic with different colors to identify the most likely values of the TARC. …”
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Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction by Chenxi Wang, Weiwei Zhang, Ming Ni, Qiong Wang, Chang Liu, Linbin Dai, Mengguo Zhang, Yong Shen, Feng Gao

“…In this study, we aimed to develop a deep-learning framework that processes and integrates MRI images to more accurately predict brain age, cognitive function, and amyloid pathology. Methods In this study, we aimed to develop a deep-learning framework that processes and integrates MRI images to more accurately predict brain age, cognitive function, and amyloid pathology.We collected over 10,000 T1-weighted MRI scans from more than 7,000 individuals across six cohorts. …”
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Combination of electroacupuncture and Liqi Yangyin formula treatment alleviates cognitive impairment and constipation in D-gal-induced mice via modulation of the brain-gut axis by Canwei Xu, Peihua Shen, Qi Li, Shun Seng Ong, Yunzhi Qian, Yang Song, Tianshu Xu

“…Emerging evidence suggests that disruptions in gut microbiota and intestinal function may contribute to cognitive decline. However, effective therapeutic strategies that simultaneously address both conditions remain limited. …”
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Novel AP39-Loaded Liposomes Sustain the Release of Hydrogen Sulphide, Enhance Blood-Brain Barrier Permeation, and Abrogate Oxidative Stress-Induced Mitochondrial Dysfunction in Bra... by Al Tahan MA, Marwah MK, Dhaliwal M, Diaz Sanchez L, Shokr H, Kaur M, Ahmad S, Badhan RK, Dias IH, Sanchez-Aranguren L

“…AP39, a mitochondria-targeted H2S donor, has shown neuroprotective potential by reducing OS and improving mitochondrial function. However, its clinical application is limited due to poor stability and rapid release, necessitating a drug delivery system to enhance therapeutic efficacy.Purpose: This study aimed to develop a novel AP39-loaded liposomal formulation to provide controlled H2S release, facilitate AP39 permeation across the blood-brain barrier (BBB), and assess functional effects in mitigating oxidative stress and preserving mitochondrial function.Methods: AP39-loaded unilamellar liposomes were prepared via ethanol injection and characterised for size, polydispersity, and zeta potential. …”
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BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images by Sohaib Asif, Lingying Zhu, Dane Yan, Luman Xu, Zhengqiu Huang, Haimin Xu, Ruxuan Yan, Linghong Cai, Changfu Zheng, Jiamei Lin, Enyu Wang

“…Furthermore, we extract probabilities from these models and aggregate them using fuzzy rank-based fusion strategy, utilize three non-linear functions: an exponentially decaying function $$\left( {exp} \right)$$ exp , the $$tanh$$ tanh function, and the $$sigmoid$$ sigmoid function, allowing for adaptive integration based on model confidence. …”
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Association of serum potassium time in target range with cardiovascular outcomes in patients with HFpEF by Yu Liu, Jianping Bin, Yating Tang, Yanmei Chen, Wenlong Xu, Yuegang Wang, Zhiwen Xiao, Yingxuan Li, Xingqiao Chen, Fengling He, Haoxiang Huang, Chuling Li, Jiajun Zhou

“…This study introduced a novel metric, time in target range (TTR), for long-term monitoring of sK levels and determined its prognostic value in patients with HFpEF from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) trial.Methods The TTR for sK levels was defined as the percentage of time during which the sK was within the target range of 4.3–4.9 mmol/L, and was estimated using linear interpolation based on at least five valid measurements of sK. …”
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Characterization of the Mmalton carrier’s cohort within the EARCO (European Alpha- 1 Antitrypsin Research Collaboration) registry by Beatriz D. Ferraz, Maria Sucena, Margarida Fonseca Cardoso, Alice M. Turner, José María Hernández-Pérez, María Torres-Duran, Hanan Tanash, Carlota Rodríguez-García, Jens-Ulrik Jensen, Angelo Corsico, José Luis López-Campos, Kenneth Chapman, Christian F. Clarenbach, Joana Gomes, Marc Miravitlles, Beatriz Lara

“…Liver disease prevalence was comparable across groups. Conclusion Severe PI*Mmalton patients exhibit clinical and functional similarities to PI*ZZ individuals, suggesting a comparable disease burden. …”
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Harnessing AlphaFold to reveal hERG channel conformational state secrets by Khoa Ngo, Pei-Chi Yang, Vladimir Yarov-Yarovoy, Colleen E Clancy, Igor Vorobyov

“…To design safe, selective, and effective new therapies, there must be a deep understanding of the structure and function of the drug target. One of the most difficult problems to solve has been the resolution of discrete conformational states of transmembrane ion channel proteins. …”
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Tracing the Evolution of Sex Hormones and Receptor‐Mediated Immune Microenvironmental Differences in Prostate and Bladder Cancers: From Embryonic Development to Disease by Dengxiong Li, Zhipeng Wang, Qingxin Yu, Jie Wang, Ruicheng Wu, Zhouting Tuo, Koo Han Yoo, Dilinaer Wusiman, Luxia Ye, Yiqing Guo, Yubo Yang, Fanglin Shao, Ziyu Shu, Uzoamaka Okoli, William C. Cho, Wuran Wei, Dechao Feng

“…During prostate development, the differential expression and function of the androgen receptor (AR) across cell types may contribute to its dual role in promoting and inhibiting immunity in different cells. …”
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Modelling the dynamics of an experimental host-pathogen microcosm within a hierarchical Bayesian framework. by David Lunn, Robert J B Goudie, Chen Wei, Oliver Kaltz, Olivier Restif

“…Our analysis provides strong evidence for a saturable infection function, and we were able to reproduce the two waves of infection apparent in the data by separating the initial inoculum from the parasites released after the first cycle of infection. …”
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End-to-End Multi-Speaker FastSpeech2 With Hierarchical Decoder by Majid Adibian, Hossein Zeinali

“…Specifically, we introduce a hierarchical decoder structure and a speaker similarity loss function to enhance speaker fidelity in synthesized speech. …”
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Bayesian methods for estimating injury rates in sport injury epidemiology by Avinash Chandran, Ben Lambert

“…Abstract Background The injury rate is a common measure of injury occurrence in epidemiological surveillance and is used to express the incidence of injuries as a function of both the population at risk as well as at-risk exposure time. …”
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Identifying the effectiveness of face mask in a large population with a network-based fluid model. by Akshay Anand, Kourosh Shoele

“…In this study, a new semi-analytical flow network model based on the Kármán-Pohlhausen technique is introduced and utilized to efficiently assess mask performance across diverse facial features that represent the observed variations inside a large population. …”
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Therapeutic Potential of Calcium Channel Blockers in Neuropsychiatric, Endocrine and Pain Disorders by Aarish Manzar, Aleksandar Sic, Crystal Banh, Nebojsa Nick Knezevic

“…In endocrinology, verapamil, a non-dihydropyridine L-type blocker, has been associated with the preservation of pancreatic β-cell function and reduced insulin dependence in diabetes. …”
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Background Traffic-Based Retransmission Algorithm for Multimedia Streaming Transfer over Concurrent Multipaths by Yuanlong Cao, Changqiao Xu, Jianfeng Guan, Hongke Zhang

“…The content-rich multimedia streaming will be the most attractive services in the next-generation networks. With function of distribute data across multipath end-to-end paths based on SCTP's multihoming feature, concurrent multipath transfer SCTP (CMT-SCTP) has been regarded as the most promising technology for the efficient multimedia streaming transmission. …”
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Accelerated enzyme engineering by machine-learning guided cell-free expression by Grant M. Landwehr, Jonathan W. Bogart, Carol Magalhaes, Eric G. Hammarlund, Ashty S. Karim, Michael C. Jewett

“…Abstract Enzyme engineering is limited by the challenge of rapidly generating and using large datasets of sequence-function relationships for predictive design. To address this challenge, we develop a machine learning (ML)-guided platform that integrates cell-free DNA assembly, cell-free gene expression, and functional assays to rapidly map fitness landscapes across protein sequence space and optimize enzymes for multiple, distinct chemical reactions. …”
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COVID-AFFECTED LINGUISTIC LANDSCAPE: A CASE OF CITY SIGNS IN PUBLIC PLACES by Irina Tivyaeva, Natalya Chekmaeva

“…Empirical data are analyzed for their function, language form, and multimodal components. …”
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