Randomized single-dose crossover comparative bioavailability study of two novel oral cannabidiol (CBD) formulations in healthy volunteers under fed conditions, compared to a standa... by Mehmet Nevzat Pisak, Edibe Bereket, Aydin Erenmemisoglu

“…The time to peak concentration (tmax) was shortest for the liquid (median ~ 1.0 h), followed by the capsule (2.0 h), and longest for the reference (6.0 h). Inter-individual variability in C_max and AUC was substantially lower for both novel formulations (coefficients of variation ~ 27–44%) than for the reference (> 90%). …”
Get full text

Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…Physiological indicators include systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP), which are measured using an Omron HEM-7136 electronic sphygmomanometer. Psychological variables are assessed using validated Chinese versions of the Profile of Mood States (POMS) and Restoration Outcome Scale (ROS) with Cronbach’s α coefficients of 0.86 and 0.82 respectively. …”
Get full text

Assessment of Outcomes of the Modified Stoppa Approach in the Treatment of Acetabular Fractures: A Retrospective Cohort Study by Nurgeldi Manap, Nagmet Mursalov, Mukhtar Abilmazhinov

“…Exclusion criteria: other operative approaches to pelvic bones and patients under 18 years of age. 21 patients underwent surgery with the use of modified Stoppa approach (group A) and 10 surgeries were performed using the ilioinguinal approach (group B). Efficiency was evaluated by comparison of duration of surgical procedures, amount of blood lossbetween groups, size of skin incision, quality of reduction and functional outcomes. …”
Get full text

Effect of short-term dietary intervention on fecal serotonin, gut microbiome-derived tryptophanase, and energy absorption in a randomized crossover trial: an exploratory analysis by Eiichi Yoshimura, Yuka Hamada, Yoichi Hatamoto, Takashi Nakagata, Hinako Nanri, Yui Nakayama, Chiharu Iwasaka, Takanori Hayashi, Ippei Suzuki, Takafumi Ando, Kazuko Ishikawa-Takata, Shigeho Tanaka, Rei Ono, Michihiro Araki, Hitoshi Kawashima, Yi-An Chen, Jonguk Park, Koji Hosomi, Kenji Mizuguchi, Jun Kunisawa, Motohiko Miyachi

Get full text

Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces by Yutong JI, Tianyi LIN, Lian LIU, Xiong LI

“…While habitat composition and planting strategies offer substantial localized benefits, their variability necessitates tailored interventions informed by specific ecological and social contexts. …”
Get full text

Neutralizing monoclonal antibodies protect against human adenovirus type 55 infection in transgenic mice and tree shrews by Xinglong Liu, Zhengfeng Li, Xiao Li, Xiaoyan Zhang, Yali Zheng, Wan Su, Ying Feng, Yutong Liu, Weixuan Wu, Xikui Sun, Nana Wang, Xianmiao Ye, Zhichao Zhou, Wenkuan Liu, Jun He, Wei Wang, Linbing Qu, Rong Zhou, Ling Chen, Liqiang Feng

“…These mAbs recognized the hyper-variable-region (HVR) 1, 2, or 7 of viral hexon protein, or the fibre knob. …”
Get full text

Complete sequencing of the mitochondrial genome of tea plant Camellia sinensis cv. ‘Baihaozao’: multichromosomal structure, phylogenetic relationships, and adaptive evolutionary an... by Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zixu Wang, Zixu Wang, Zixu Wang, Zixu Wang, Wei Zhou, Wei Zhou, Wei Zhou, Wei Zhou, Sijie Liu, Sijie Liu, Sijie Liu, Sijie Liu, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yihui Gong, Yihui Gong, Yihui Gong, Yihui Gong

“…Adaptive evolutionary analysis, based on Ka/Ks ratios, was performed to investigate gene selection pressures.ResultsThe mitochondrial genome consists of 11 linear chromosomes, with a total length of 909,843 bp and a GC content of 45.62%. A total of 73 functional genes were annotated, among which 14 variable genes (e.g., ribosomal protein coding genes) retain intact functions without pseudogenization, which is rare among Theaceae plants. …”
Get full text

Dynamic Surrogate Optimization of Vertically Stacked Nanosheet FET Based on Gaussian Process Regression by Christofer N. Yalung, Doldet Tantraviwat

“…Source extension (<inline-formula> <tex-math notation="LaTeX">$S_{ext}$ </tex-math></inline-formula>), drain extension (<inline-formula> <tex-math notation="LaTeX">$D_{ex\mathrm {t}}$ </tex-math></inline-formula>), gate length (<inline-formula> <tex-math notation="LaTeX">$L_{g}$ </tex-math></inline-formula>), nanosheet height (NSh), nanosheet width (NSw), and number of fin (nfin) make up the input variables. In addition to applying normalization to make the weight assignment to the goal functions easier, a penalty component was incorporated to manage the <inline-formula> <tex-math notation="LaTeX">$V_{T}$ </tex-math></inline-formula>. …”
Get full text

不同种群元宝枫种仁含油率及脂肪酸组成分析与评价Analysis and evaluation of oil content in seed kernel and fatty acid composition of Acer truncatum from different populations... by 韩旻昊1，2，燕丽萍1，王因花1，任飞1，梁燕1，仲伟国1，孙超1，吴德军1 HAN Minhao1,2, YAN Liping1, WANG Yinhua1, REN Fei1, LIANG Yan1, ZHONG Weiguo1, SUN Chao1, WU Dejun1

“…In summary, the oil content in seed kernel and fatty acid content of various populations of A. truncatum have a high degree of variability, which can be used as the material basis for screening the excellent germplasm resources.…”
Get full text

Changes in white matter predict efficacy of repetitive transcranial magnetic stimulation in Parkinson's disease by Jinying Han, Lingling Lv, Xin Chen, Mengqi Wang, Lili Hu, Fengbo Xing, Pingping Liu, Liuzhenxiong Yu, Ziye Zhao, Jinmei Sun, Tingting Liu, Jingjing Cheng, Minhao Zhu, Manman Gao, Gongjun Ji, Rong Ye, Kai Wang, Panpan Hu

“…Background: The efficacy of continuous theta burst stimulation (cTBS) in Parkinson's disease (PD) exhibits considerable variability. Emerging evidence links changes in brain white matter (WM) activity to the onset and progression of PD, offering novel insights into its pathophysiology. …”
Get full text

Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model by E. Fatima, E. Fatima, R. Kumar, S. Attinger, S. Attinger, M. Kaluza, O. Rakovec, O. Rakovec, C. Rebmann, C. Rebmann, R. Rosolem, R. Rosolem, S. E. Oswald, L. Samaniego, L. Samaniego, S. Zacharias, M. Schrön

“…<p>Profound knowledge of soil moisture and its variability plays a crucial role in hydrological modelling to support agricultural management, flood and drought monitoring and forecasting, and groundwater recharge estimation. …”
Get full text

Analysis of Factors Influencing the Development of Community-Based Tourism in Rural Areas, Case Study: Villages Targeted by Tourism in the Markazi Province by Hamid Afshari, Behrouz Mohammadi Yeganeh, Hossein Farahani, Mehdi Cheraghi

“…Thus, the aim of the present research is to find the variables affecting community-based tourism in the target villages of Markazi Province. …”
Get full text

Numerical Analysis of the Preloading Consolidation of the Soft Foundation with a Plastic Drainage Plate by Linjie Li, Shuaidong Yang, Tong Su

“…The permeability coefficient and void ratio are related to the stress state of the soil, which manifests as the temporal and spatial variability of consolidation. …”
Get full text

Panoramic spatial enhanced resolution proteomics (PSERP) reveals tumor architecture and heterogeneity in gliomas by Ziyan Xu, Yunzhi Wang, Tao Xie, Rongkui Luo, Heng-Li Ni, Hang Xiang, Shaoshuai Tang, Subei Tan, Rundong Fang, Peng Ran, Qiao Zhang, Xiaomeng Xu, Sha Tian, Fuchu He, Wenjun Yang, Chen Ding

“…Abstract The spatial proteomic profiling of complex tissues is essential for investigating cellular function in physiological and pathological states. …”
Get full text

The Structural Model of Happiness Based on Mindfulness with Mediator Role of Emotional Intelligence, Self-Compassion and Resilience by Mohammad Reza Tamannai far, Faezeh Taraffo

“…Pearson's correlation coefficient method and structural equation modeling were used to analyze the data. …”
Get full text

Low-frequency rTMS modulates small-world network properties in an AVH-related brain network in schizophrenia by Lin Zhang, Li Guo, Xiaohui Liu, Jing Han, Yuanqiang Zhu, Chaozong Ma, Ye Li, Weiliang Ye

“…Resting-state fMRI data were collected before and after treatment to assess functional connectivity within the predefined 35-region AVH-related network. small-worldness (σ), normalized clustering coefficient (γ), and normalized characteristic path length (λ), as well as functional segregation (clustering coefficient [Cp], local efficiency [El]) and functional integration (global efficiency [Eg], characteristic path length [Lp])—were analyzed before and after rTMS. …”
Get full text

Identification and leveling of factors affecting the acceptance of excellence model in Islamic Azad University by Seyedeh Somayeh Mousavi Siah Deleh, Samad Jabbari Asl, Musa Rezvani Chaman Zamin

“…Their research showed that the variables of human resources, knowledge production infrastructure, interactions, strategy, culture, and laws and policies respectively have the greatest impact on organizational readiness for academic knowledge commercialization. …”
Get full text

Measuring and estimation of suspended sediment variation using sediment rating curve approach in Mereg River by Sohila Aghabeigi Amin, Heidar Mirzaei

“…Therefore, recognizing the variability of rivers is essential to manage water resources and environmental issues. …”
Get full text

Monte Carlo-Based Strategy for Assessing the Impact of EEG Data Uncertainty on Confidence in Convolutional Neural Network Classification by Pierre Sedi Nzakuna, Vincenzo Gallo, Vincenzo Paciello, Aime Lay-Ekuakille, Angelo Kuti Lusala

“…We introduce robust evaluation metrics, including the proportion of area under the curve (AUC) of probability density functions (PDFs) <inline-formula> <tex-math notation="LaTeX">$\geq 70$ </tex-math></inline-formula>% accuracy, overlap coefficients, and percentile-based thresholding, which provide a more comprehensive assessment of model performance, capturing not only accuracy but also confidence and ambiguity in predictions. …”
Get full text

Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…This study investigates the operational efficiency of the lab-scale oxidation ditch (OD) functioning in simultaneous nitrification and denitrification modes, focusing on forecasting biochemical oxygen demand (BOD₅) concentrations over a five-day horizon. …”
Get full text