Efficacy of non-invasive brain stimulation interventions on cognitive impairment: an umbrella review of meta-analyses of randomized controlled trials by Minmin Wu, Wenjing Song, Xue Wang, Lili Teng, Jinting Li, Jiongliang Zhang, Xinyue Li, Donghui Yu, Huanhuan Jia, Binhan Wang, Qiang Tang, Luwen Zhu

“…Effect sizes, 95% confidence intervals (CIs), and prediction intervals were computed for each meta-analysis. …”
Get full text

Evaluation method and application for in-situ stress in No. 8+9 coal seam, southern Shenfu block, northeastern margin of Ordos Basin by Jiawei WU, Wei TANG, Yanhe ZHU, Cunwu WANG, Yongjing TIAN, Jingyu ZI, Jianghao YANG, Xian SHI

“…Considering the distribution of natural fractures with an average NNW orientation during different tectonic stages, as well as the propagation pattern of NNE-oriented vertical hydraulic fractures under the normal faulting stress state with NNE-oriented maximum principal horizontal stress in the eastern fracture prediction area, it was recommended to deploy horizontal cluster wells within the azimuthal interval perpendicular to the current NNE-oriented maximum horizontal principal stress direction and the average NNW-oriented natural fracture direction. …”
Get full text

Artificial intelligence analysis of thermal energy for convectively heated ternary nanofluid flow in radiated channel considering viscous dissipations aspects by Hamid Qureshi, Amjad Ali Pasha, Muhammad Asif Zahoor Raja, Zahoor Shah, Salem Algarni, Talal Alqahtani, Waqar Azeem Khan, Moinul Haq

“…The use of AI in creating the simulations is more accurate for prediction than traditional numerical methods with an improved MSE of up to 10−14 through the Python model. …”
Get full text

Pragmatic performance, its relationship with symptom severity, and early clinical predictors of pragmatics in 5 ~ 6-year-old children with autism spectrum disorder by Lu Qian, Ning Ding, Hui Fang, Ting Xiao, Bei Sun, HuiYun Gao, XiaoYan Ke

“…Third, hierarchical multiple regression analyses and machine learning techniques indicated that the proportions of SJE during parent‒child interactions, as well as the degree of social symptoms and structural language impairments, were significant contributors to pragmatic development for the ASD group in the prediction models. Conclusion In summary, our findings suggest that pragmatic language difficulties are present in children with ASD as early as preschool age. …”
Get full text

Evaluation of mineral and near-infrared forecasting of wheat yield varieties using spectrophotometric techniques by H.A. Pardhe, N. Krishnaveni, B.K. Chekraverthy, S. Patel, S. Naveen, V. Rashmi, P.C. Govinden

“…The obtained results were compared with the standard "Food Composition and Food Safety Standard Authority of India" and predicted using near-infrared spectra combined with chemometrics.CONCLUSION: The work aims to investigate the nutritional content of various wheat varieties, particularly focusing on iron content, which could potentially have implications for improving dietary strategies and addressing nutritional deficiencies. …”
Get full text

Risk factors for the delayed discharge from anesthesia intensive care unit: a single-center retrospective study by Yue Qian, Jing Hao, Wei Zhu, Yan Yang, Zhuan-yun Zhang, Lu-yang Zhou, Xiao-ping Gu, Zheng-liang Ma, Yu-e Sun

“…Nomogram was constructed to predict the risk of delayed discharge from AICU. The performance of the nomogram was assessed using the receiver operating characteristic curve and calibration curve. …”
Get full text

Machine vision-based detection of key traits in shiitake mushroom caps by Jiuxiao Zhao, Jiuxiao Zhao, Wengang Zheng, Wengang Zheng, Yibo Wei, Yibo Wei, Qian Zhao, Qian Zhao, Jing Dong, Jing Dong, Xin Zhang, Xin Zhang, Mingfei Wang, Mingfei Wang

“…This study puts forward a machine vision-based prediction method to solve the problem regarding the measurement of traits in shiitake mushroom caps during the shiitake mushroom breeding process. …”
Get full text

TaSnRK3.23B, a CBL-interacting protein kinase of wheat, confers drought stress tolerance by promoting ROS scavenging in Arabidopsis by Feiyan Dong, Yide Liu, Huadong Zhang, Yaqian Li, Jinghan Song, Sheng Chen, Shuailei Wang, Zhanwang Zhu, Yan Li, Yike Liu

“…The predicted model demonstrated that TaSnRK3 subfamily proteins participate in Ca2+ signaling mediated by TaCBL2B/TaCBL6B and subsequently provide drought stress tolerance by promoting ROS scavenging in wheat. …”
Get full text

Haemoglobin for Fall Risk Screening in Gynaecological and Obstetric Wards: Retrospective Survey and Delphi Validation by Bijun Mao, Yan Chen, Chunsheng Wang, Yihan Ma, Huifeng Gu, Ya Shen, Luping Liu, Peihong Zhou, Huiping Jiang

“…Haemoglobin has a good performance on fall risk prediction in Gynaecological and Obstetric Wards. The stratified scheme of anaemia for fall risk assessment was suggested as follows: ≥ 110; 90–109; 60–89; and < 60 g/L. …”
Get full text

Reduced Circulating Levels of miR-491-5p and miR-485-3p Are Associated with the Occurrence of Vertebral Fractures in Postmenopausal Women with Osteoporosis by Jixi Xu, Mingbo Li, Wei Pei, Jinyong Ding, Yueran Pan, Huifeng Peng, Shiman Lin, Yanbo Huang

“…We also observed a negative correlation between the relative expression level of miR-485-3p and 25-(OH)VitD (r = -0.388, < 0.001), a positive correlation between miR-485-3p and PINP (r = 0.422,< 0.001). ROC curves for prediction of vertebral fracture following osteoporosis in postmenopausal women by miR-491-5p expression yielded 0.866 AUC and by miR-485-3p expression produced 0.848 AUC. …”
Get full text

Kinetic origin of hysteresis and the strongly enhanced reversible barocaloric effect by regulating the atomic coordination environment by Zi-Bing Yu, Hou-Bo Zhou, Feng-Xia Hu, Jian-Tao Wang, Fei-Ran Shen, Lun-Hua He, Zheng-Ying Tian, Yi-Hong Gao, Bing-Jie Wang, Yuan Lin, Yue Kan, Jing Wang, Yun-Zhong Chen, Ji-Rong Sun, Tong-Yun Zhao, Bao-Gen Shen

“…Combining neutron powder diffraction (NPD) with magnetic and calorimetric measurements completely verified the theoretical prediction. Electron local function (ELF) calculations further reveal the atomic coordination origin of regulated hysteresis due to weaker Co–Ge bonds when In atoms replace Ge, which is opposite to Co sites. …”
Get full text

Prediksi Produksi Biofarmaka Menggunakan Model Fuzzy Time Series dengan Pendekatan Percentage Change dan Frequency Based Partition by Dwi Ekasari Harmadji, Solikhin Solikhin, Uky Yudatama, Agus Purwanto

“…Ginger, Galangal, Kencur, and turmeric are predicted to be the most important rhizomes for biopharmaca research in Indonesia. …”
Get full text

A Novel Artificial Intelligence–Enhanced Digital Network for Prehospital Emergency Support: Community Intervention Study by Ji Hoon Kim, Min Joung Kim, Hyeon Chang Kim, Ha Yan Kim, Ji Min Sung, Hyuk-Jae Chang

“…These services included guidance on first aid, prediction of critically ill patients, and recommendation of the optimal transfer hospital. …”
Get full text

Association between sperm motility in thawed semen and pregnancy rate in Mediterranean buffaloes by Armando Quintero-Moreno, Carla Osorio Meléndez, Héctor Nava-Trujillo, Jorge Rubio Guillén, Juan Carlos Gutiérrez-Añez, Adriana Camacho de Gutiérrez

“…This type of analysis provides the opportunity to quantify sperm movements and group them to generate more accurate sperm motility values, which allows the prediction of the fertility and/or PR in this species. …”
Get full text

A dual-band microwave sensor for glucose measurements utilizing an enclosed split ring metamaterial-based array by Abhishek Kandwal, Ziheng Ju, Louis W.Y. Liu, Rohit Jasrotia, Choon Kit Chan, Zedong Nie, Ali M. Almuhlafi, Hamsakutty Vettikalladi

“…Consistent with our theoretical prediction, the fabricated sensor has indeed exhibited a dual resonant band characteristics, with one resonance occurring at 4.5 GHz and the other at 9.2 GHz. …”
Get full text

Tat-fimbriae (“tafi”): An unusual type of haloarchaeal surface structure depending on the twin-arginine translocation pathway by Anna V. Galeva, Dahe Zhao, Alexey S. Syutkin, Marina Yu Topilina, Sergei Yu Shchyogolev, Elena Yu Pavlova, Olga M. Selivanova, Igor I. Kireev, Alexey K. Surin, Gennady L. Burygin, Jingfang Liu, Hua Xiang, Mikhail G. Pyatibratov

“…Based on protein structure prediction (including AlphaFold 3), tafi exhibits a linear structure: TafC at the tip, TafE acting as an adapter, TafA forming the core filament, and they link the fourth subunit TafF, anchoring tafi to the cell wall. …”
Get full text

LncMPEG1/miR-2c regulates exoskeleton biocalcification via engrailed in bivalve by Minxin Liang, Caixia Cai, Ziqi Ren, Zhiqing Li, Ronglian Huang, Qingheng Wang, Yongshan Liao, Chuangye Yang, Zhe Zheng

“…The study establishes LncMPEG1 as a molecular sponge for miR-2c, modulating the expression of key biomineralization genes, including homeobox protein engrailed and matrix metalloproteases (MMPs). Utilizing miRanda prediction, interaction sites between miR-2c and LncMPEG1 were identified and validated through RNA immunoprecipitation and luciferase assays. …”
Get full text

Income level is associated with differences in primary and secondary stroke prevention in China by Huiming Ren, Junrong Ma, Xu Guo, Ruijie Zhang, Liyuan Pu, Tian Zhao, Fangfang Zeng, Chang Shu, Liyuan Han, Yunzhi Wang, Qiang Li, Xiaojie Wang

“…Stroke was determined by the self-reporting of a doctor’s diagnosis, and participants with a high risk of stroke were identified using the model developed in the Prediction for ASCVD Risk in China study. Results The final numbers of people included in this study were 8,884 with stroke and 218,972 with a high risk of stroke. …”
Get full text

Synthesizing Local Capacities, Multi-Source Remote Sensing and Meta-Learning to Optimize Forest Carbon Assessment in Data-Poor Regions by Kamaldeen Mohammed, Daniel Kpienbaareh, Jinfei Wang, David Goldblum, Isaac Luginaah, Esther Lupafya, Laifolo Dakishoni

“…Our results further showed that combining optical and radar remote sensing data substantially improved prediction accuracy compared to single-source remote sensing data. …”
Get full text

Optimasi Data Tidak Seimbang pada Interaksi Drug Target dengan Sampling dan Ensemble Support Vector Machine by Nabila Sekar Ramadhanti, Wisnu Ananta Kusuma, Annisa Annisa

“…A really imbalanced data may cause bias to prediction result. There are many ways of handling imbalanced data, but this research implemented some methods such as BSVM, oversampling, undersampling with SVM ensemble. …”
Get full text