Alopecia Management Potential of Rosemary-Based Nanoemulgel Loaded with Metformin: Approach Combining Active Essential Oil and Repurposed Drug by Abla KK, Alamoudi MK, Soliman GA, Abdel-Kader MS, Aldawsari MF, Mehanna MM

“…Rosemary-based nanoemulgel displayed acceptable physicochemical characterizations namely; a neutral pH value of 6.7± 0.15, high drug content (92.9± 2.3%), and controlled metformin in-vitro release. Besides, the formulated nanoemulgel significantly increased the number of hair follicles in the animal model compared with other controls and tested groups.Conclusion: The designed nanoemulgel is a promising approach for treating androgenic alopecia. …”
Get full text

Effects of concurrent aerobic and strength training in patients with type 2 diabetes: Bayesian pairwise and dose-response meta-analysis by Shijie Zhang, Han Xue, Yuehui Zou

“…Pairwise and dose-response meta-analyses using Bayesian hierarchical random-effects modeling were performed to analyze the effects of CT in patients with type 2 diabetes. …”
Get full text

Family protection motivation and economic vulnerability: a network analysis of public influenza risk perception, education and mitigation strategies in China by Cheng Yang, Cheng Yang, Jiawei Li, Jiawei Li, Xianqiong Feng, Xianqiong Feng, Shaoyu Su, Shaoyu Su, Qin Zeng, Qin Zeng

“…Additionally, science literacy moderated risk perception by enhancing perceived control, with the strongest association observed between knowledge level and “temporal controllability” (C_3, edge weight = 0.25). …”
Get full text

Independent and combined relationships between nighttime light exposure, air pollution, PM2.5 constituents, greenness and diabetes or high blood sugar: a national prospective cohor... by Siyu Qing, Ziyue Liang, Yifang Liang, Renfang Zhang, Xiaojie Chen, Wenqing Wang, Chunejie Xu, Fei Lin, Yongbin Wang

“…Comprehensive strategies targeting light pollution control, air quality improvement, and optimized green space planning are imperative. …”
Get full text

Interventions to reengage people living with HIV who are lost to follow-up from HIV treatment programs: A systematic review and meta-analysis. by Ali Mirzazadeh, Ingrid Eshun-Wilson, Ryan R Thompson, Atousa Bonyani, James G Kahn, Stefan D Baral, Sheree Schwartz, George Rutherford, Elvin H Geng

“…We used random-effect models for meta-analysis and conducted subgroup analyses to explore heterogeneity. …”
Get full text

Bioactive Potential of Chitosan–Oleic Acid Nanoparticles Loaded with Lemon Peel Essential Oil for Topical Treatment of Vulvovaginal Candidiasis by Faten M. Ibrahim, Eman Samy Shalaby, Mohamed F. Abdelhameed, Radwa H. El-Akad, Kawkab A. Ahmed, Mohamed S. Abdel-Aziz, El Sayed El Habbasha, Cristina V. Rodrigues, Manuela Pintado

“…The characterization of the optimal nanoparticle formulation (F4: 10 g/L CH, 2:1 OA/LPEO ratio) showed high encapsulation efficiency, stability, and controlled release. …”
Get full text

Global surveillance of circulating microRNA for diagnostic and prognostic assessment of acute myocardial infarction based on the plasma small RNA sequencing by Xiaomin Wang, Yaojun Lu, Ruiping Zhao, Bing Zhu, Jian Liu, Qiang Yue, Rina Wu, Shuwen Han, Yuanyuan Gao, Juan Chen, Jie Gong, Danna He, Teng Xu, Jianchao Ying

“…All detected circulating miRNAs were examined by ROC analysis and then LASSO dimension reduction to obtain an optimal panel for diagnosis of AMI. A five-year period follow-up towards the AMI and reperfusion patients was performed, and the prognostic value of circulating miRNAs in these patients was estimated by using the Cox regression model, ROC and Kaplan-Meier curves. …”
Get full text

Radiomic analysis of patient and interorgan heterogeneity in response to immunotherapies and BRAF-targeted therapy in metastatic melanoma by Riyue Bao, Yana G Najjar, Diwakar Davar, John M Kirkwood, Jason John Luke, Sarah Newman, Hassane M Zarour, Afsaneh Amouzegar, Rivka R Colen, Murat Ak, Priyadarshini Mamindla, Serafettin Zenkin, Vishal Peddagangireddy, Sarah Behr, Alexandra G Tompkins, Zane N Gray, Rebekah E Dadey, Nasim Batavani, Nursima Ak, Taha Yasin Pak, Mohammadreza Amjadzadeh, Amy Goodman, Darcy L Ploucha, Curtis Tatsuoka

“…Overall and organ-specific machine-learning models were constructed to predict disease control (DC) versus progressive disease (PD) using XGBoost. 291 patients with MEL were identified, including 242 ICI (91 I+N, 151 PD-1) and 49 BRAF. 667 metastases were analyzed, including 541 ICI (236 I+N, 305 PD-1) and 126 BRAF. …”
Get full text

Efficacy and dose–response relationships of antidepressants in the acute treatment of major depressive disorders: a systematic review and network meta-analysis by Shuzhe Zhou, Pei Li, Xiaozhen Lyu, Xuefeng Lai, Zuoxiang Liu, Junwen Zhou, Fengqi Liu, Yiming Tao, Meng Zhang, Xin Yu, Jingwei Tian, Feng Sun, Jing Ni

“…Abstract. Background:. The optimal antidepressant dosages remain controversial. …”
Get full text

Detection of Hepatitis C Virus Infection from Patient Sera in Cell Culture Using Semi-Automated Image Analysis by Noemi Schäfer, Paul Rothhaar, Christian Heuss, Christoph Neumann-Haefelin, Robert Thimme, Julia Dietz, Christoph Sarrazin, Paul Schnitzler, Uta Merle, Sofía Pérez-del-Pulgar, Vibor Laketa, Volker Lohmann

“…The analysis of wild-type (WT) isolates was enabled by the expression of SEC14L2 and by inhibitors targeting deleterious host factors. Here, we aimed to optimize cell culture models to allow infection with HCV from patient sera. …”
Get full text

Simulation of an Orthodontic System Using the Lingual Technique Based on the Finite Element Method by Abbas Hazem, Felicia Ileana Mărășescu, Mihaela Jana Țuculină, Dragoș Laurențiu Popa, Ionuț Daniel Geonea, Alexandru Iliescu, Petre Mărășescu, Ioan Ovidiu Gheorghe, Alma Roxana Pitru, Eugen Nicolae Tieranu, Ionela Teodora Dascălu

“…<b>Materials and Methods:</b> For this study, we utilized a model derived from a set of CBCT scans of a 26-year-old female patient who underwent fixed orthodontic treatment using the lingual technique. …”
Get full text

Enabling Selective and Tunable Weight Updates in All-InGaZnO 3-Transistor 1-Capacitor Synaptic Circuits for On-Chip Training by Minseung Kang, Mingi Kim, Jaehyeon Kang, Jongun Won, Hyeong Jun Seo, Changhoon Joe, Youngchae Roh, Yeaji Park, Sangbum Kim

“…Fundamental synaptic operations, including controllable weight updates, long data retention, and stable programming endurance, are confirmed experimentally. …”
Get full text

Biological age prediction in schizophrenia using brain MRI, gut microbiome and blood data by Rui Han, Wei Wang, Jianhao Liao, Runlin Peng, Liqin Liang, Wenhao Li, Shixuan Feng, Yuanyuan Huang, Lam Mei Fong, Jing Zhou, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu

“…Here we evaluated the performance of machine learning models for biological age prediction by using the integrated features from multi-biological data of 140 healthy controls and 43 patients with schizophrenia, including brain MRI, gut microbiome, and blood data. …”
Get full text

Comparative Efficacy of Different Exercise Therapies for Cardiorespiratory Fitness in Breast Cancer Survivors: A Systematic Review and Bayesian Network Meta-analysis by Xue Zhou, Yao Yang, Liwen Zhai, Jianing Gan, Conghui Li, Yi Zhu

“…Methods A systematic search was conducted in EMBASE, the Cochrane Library, PubMed, Web of Science, and CINAHL to identify relevant randomized controlled trials (RCTs). The analysis was then performed using R Version 3.5.1 and GEMTC software, employing a NMA with a Bayesian random effects model to synthesize the comparative effectiveness of different exercise schemes on CRF in breast cancer survivors. …”
Get full text

Prediction of compressive strength of fly ash-based geopolymers concrete based on machine learning by Hesong Hu, Mingye Jiang, Mengxiong Tang, Huqing Liang, Hao Cui, Chunlin Liu, Chunjie Ji, Yaozeng Wang, Simin Jian, Chaohai Wei, Siqi Song

“…The results suggest that all four machine learning models are proficient in accurately predicting the compressive strength of FA-GPC, with the GBDT model displaying superior predictive performance. …”
Get full text

Integrated System of Microalgae Photobioreactor and Wine Fermenter: Growth Kinetics for Sustainable CO₂ Biocapture by María Carla Groff, Cecilia Fernández Puchol, Rocío Gil, Lina Paula Pedrozo, Santiago Albareti, Ana Belén Manzanares, Emilia Sánchez, Gustavo Scaglia

“…Optimal parameter values for each model were identified using a hybrid search algorithm developed by our research group. …”
Get full text

The Potential of a Thermoelectric Heat Dissipation System: An Analytical Study by Xuechun Li, Rujie Shi, Kang Zhu

“…Thermoelectric heat dissipation systems offer unique advantages over conventional systems, including vibration-free operation, environmental sustainability, and enhanced controllability. This study examined the benefits of incorporating a thermoelectric cooler (TEC) into conventional heat sinks and investigated strategies to improve heat dissipation efficiency. …”
Get full text

Discontinuation of immune checkpoint inhibitors for reasons other than disease progression and the impact on relapse and survival of advanced melanoma patients. A systematic review... by Konstantinos Lallas, Eftychia Chatziioannou, Derya Durak, Georg Frey, Lina Maria Serna-Higuita, Marie-Lena Rasch, Athanassios Kyrgidis, Eleni Timotheadou, Zoe Apalla, Ulrike Leiter, Lukas Flatz, Lukas Flatz, Aimilios Lallas, Teresa Amaral, Teresa Amaral

“…Relapse rates (RRs) post cessation, time to PD, rechallenge and disease control rate (DCR) after 2nd course were the main outcomes. …”
Get full text

Navigating the complexities of end-stage kidney disease (ESKD) from risk factors to outcome: insights from the UK Biobank cohort by Debasish Kar, Richard Byng, Aziz Sheikh, Mintu Nath, Bedowra Zabeen, Shubharthi Kar, Shakila Banu, Mohammad Habibur Rahman Sarker, Navid Khan, Durjoy Acharjee, Shafiqul Islam, Victoria Allgar, José M. Ordóñez-Mena, Aya El-Wazir, Soon Song, Ashish Verma, Umesh Kadam, Simon de Lusignan

“…Abstract Background The global prevalence of end-stage kidney disease (ESKD) is increasing despite optimal management of traditional risk factors such as hyperglycaemia, hypertension, and dyslipidaemia. …”
Get full text

Feeding systems influence the rumen resistome in yaks by changing the microbiome by Shuli Yang, Jialuo Chen, Jieyi Zheng, Huaming Mao, Feilong Deng, Dongwang Wu, Jianmin Chai

“…Yaks that grazed naturally on pasture were used as controls, while the experimental yaks were housed in a high-density pen environment and fed a specially designed diet to optimally meet their nutritional requirements, with increased interactions with farm workers. …”
Get full text