Multifunctional layered microneedle patches enable transdermal angiogenesis and immunomodulation for scarless healing of thermal burn injuries by Hang Chen, Lu Tan, Liqi Li, Yan Zheng, Menghuan Li, Shuohan He, Zhong Luo, Kaiyong Cai, Yan Hu

“…Herein, we report a layered microneedle (MN) patch for addressing these challenges in burn injury healing. The MN patch features a core/shell structure with methacrylated gelatin (GelMA) encapsulated with human umbilical vein endothelial cell (HUVECs)-derived hypoxia-induced exosomes (EXO-H) as the bottom layer and sodium alginate (SA) containing naringin (Nar)-loaded CaCO3 nanoparticles (CaCO3@Nar) as the top layer. …”
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Engagement of CD300c by a Novel Monoclonal Antibody Ameliorates Behavioral Deficits in a 5xFAD Mouse Model of Alzheimer’s Disease by Suin Lee, Chang Ki Lim, Jongyeob Kim, Joon Kim, Hee Kyung Jin, Jae-sung Bae, Jae-Won Jeon

“…In a 5xFAD mouse model, CB201 treatment improved memory and behavior in both the early and late stages of AD and reduced cerebral Aβ plaque load. <b>Conclusions</b>: These results indicate that CB201 promotes the differentiation of macrophages to MDMs and modulates AD-related inflammatory responses, thereby ameliorating the pathological features of AD. …”
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A culture-dependent rapid detection method for gas-producing spoilage bacteria in vinegar and its application by ZHOU Li, LIU Fang, ZHAO Kui, WANG Xingjie, YUAN Yinghao, LI Jianlong, HU Kaidi, LI Qin, LIU Shuliang

“…The verification was in agreement with the actual situation.ConclusionThe constructed method features fast， specific， accurate， and sensitive. This study sheds light on detection and comprehensive control of gas-producing spoilage bacteria for vinegar enterprises.…”
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SafetyGPT: An autonomous agent of electrical safety risks for monitoring workers’ unsafe behaviors by Wei Li, Fuqi Ma, Zhiyuan Zuo, Rong Jia, Bo Wang, Abdullah M Alharbi

“…The model encodes visual and textual features into corresponding tokens, realizes multi-modal feature alignment and fusion through the cross-attention mechanism, and then generates targeted responses through the large language model. …”
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Design and experimental research on the rocker arm walking mechanism of the wheeled inspection robot for the main transportation roadway of coal mines by YANG Rui, BAO Jiusheng, BAO Zhouyang, YIN Yan, ZHANG Lei, PAN Guoyu, YANG Jiao, GE Shirong

“…Considering the terrain features of the main transport roadway and the environment of the transport equipment in coal mines, simulated inspection experiments were conducted in a laboratory roadway. …”
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WDNET-YOLO: Enhanced Deep Learning for Structural Timber Defect Detection to Improve Building Safety and Reliability by Xiaoxia Lin, Weihao Gong, Lin Sun, Xiaodong Yang, Chunwei Leng, Yan Li, Zhenyu Niu, Yingzhou Meng, Xinyue Xiao, Junyan Zhang

“…Structural timber is an important building material, but surface defects such as cracks and knots seriously affect its load-bearing capacity, dimensional stability, and long-term durability, posing a significant risk to structural safety. …”
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A glucose-responsive transdermal insulin delivery patch using PBA-based hydrogel and CAGE by Changzhao Jiang, Yue An, Jing Yang, Jianling Hu, Weiqing Wang, Xiumei Jiang, Jincui Ye

“…Overall, its non-invasive and glucose-responsive features mimics physiological insulin secretion and enable real-time glycemic control—an advancement over static dosing. …”
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Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma by Zihao Sun, Mengfei Hu, Xiaoning Huang, Minghan Song, Xiujing Chen, Jiaxin Bei, Yiguang Lin, Size Chen

“…A high predictive capability nomogram was constructed by combining DCRGS with clinical features. We found that patients with a high-DCRGS score had immunosuppression, activated tumor-associated pathways, and elevated somatic mutational load and copy number variant load. …”
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Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions by Mohammad Mohtasham Moein, Komeil Rahmati, Ali Mohtasham Moein, Ashkan Saradar, Sam E. Rigby, Amin Akhavan Tabassi

“…Furthermore, the behavior under static load was analyzed through compressive, flexural, and tensile strength tests. …”
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Impaired intestinal calcium absorption and osteopathy in ICR/Mlac-hydro mice with hypoparathyroidism and severe hydronephrosis by Panan Suntornsaratoon, Kannikar Wongdee, Nithipak Thammayon, Jarinthorn Teerapornpuntakit, Nattapon Panupinthu, Wacharaporn Tiyasatkulkovit, Sarawut Lapmanee, Krittikan Chanpaisaeng, Surachai Chantip, Narattaphol Charoenphandhu

“…Bone mechanical properties, i.e., maximum load, yield load, and stiffness, were also impaired in both male and female Mlac-hydro mice, as evaluated by the three-point bending test. …”
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Epidemiological profile of SARS-CoV-2 among selected regions in Ghana: A cross-sectional retrospective study. by Michael Owusu, Augustina Angelina Sylverken, Sampson Twumasi Ankrah, Philip El-Duah, Nana Kwame Ayisi-Boateng, Richmond Yeboah, Richmond Gorman, Jesse Asamoah, Tabea Binger, Godfred Acheampong, Franklin Asiedu Bekoe, Sally-Ann Ohene, Rita Larsen-Reindorf, Anthony Afum-Adjei Awuah, John Amuasi, Ellis Owusu-Dabo, Yaw Adu-Sarkodie, Richard Odame Phillips

“…This study sought to describe the socio-demographic features, pattern of COVID-19 spread and the viral load dynamics among subjects residing in northern, middle and part of the southern belt of Ghana.…”
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The impact of 45S5 bioglass vs. β-TCP nanoparticles ratio on rheological behavior of formulated printing inks and 3D printed polycaprolactone-based scaffolds final properties by Mansure Kazemi, Hasti Esmaeili, Mansoureh Khandaei Dastjerdi, Farshad Amiri, Mehdi Mehdikhani, Mohammad Rafienia

“…Interestingly highly loaded β-TCP ink (β-TCP/BG: 70/30) revealed a rubbery nature with high surface tension which reduced final scaffolds resolution. …”
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Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning by Zejun Wang, Yuxin Xia, Houqiao Wang, Xiaohui Liu, Raoqiong Che, Xiaoxue Guo, Hongxu Li, Shihao Zhang, Baijuan Wang

“…The incorporation of an Efficient Multi-Scale Attention Module with Cross-Spatial Learning serves to attenuate the influence of irrelevant features in complex backgrounds, which in turn, elevates the model’s detection Precision. …”
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Role of IL-6 in the immunopathogenesis of mild, moderate and severe TBI by A. O. Norka, S. V. Vorobyev, R. N. Kuznetsova, S. V. Lapin, Z. R. Korobova, D. N. Monashenko, Areg A. Totolian

“…Identification of the features of IL-6 content in patients with brain injury may indicate its important role in the course of disease. …”
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A Two-Stage Offline-to-Online Multiobjective Optimization Strategy for Ship Integrated Energy System Economical/ Environmental Scheduling Problem by Qing An, Jun Zhang, Xin Li, Xiaobing Mao, Yulong Feng, Xiao Li, Xiaodi Zhang, Ruoli Tang, Hongfeng Su

“…The economical/environmental scheduling problem (EESP) of the ship integrated energy system (SIES) has high computational complexity, which includes more than one optimization objective, various types of constraints, and frequently fluctuated load demand. Therefore, the intelligent scheduling strategies cannot be applied to the ship energy management system (SEMS) online, which has limited computing power and storage space. …”
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A Precise Detection Method for Tomato Fruit Ripeness and Picking Points in Complex Environments by Xinfa Wang, Xuan Wen, Yi Li, Chenfan Du, Duokuo Zhang, Chengxiu Sun, Bihua Chen

“…This substitution not only cuts down the model’s computational load but also simultaneously enhances the detection precision. …”
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An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China by Bo Liu, Bo Liu, Qiang Zhang, Qiang Zhang, Xin Li, Xin Li

“…The optimal model was integrated into an online risk assessment calculator.ResultsThe XGBoost model showed the highest predictive performance, with key features including age, smoking, fall history, TDF use, HIV viral load, vitamin D, hemoglobin, albumin, CD4 count, and lumbar spine BMD. …”
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Application of high-throughput fully automated air formaldehyde detection technology by Xiaoling YANG, Junhong LI, Zhiyong CHEN, Yi JIN

“…ConclusionThe method established in this study features small solvent dosage, fully automated high throughput, comparable sensitivity to the national standard method, high accuracy, and inter-day and intra-day precision with a recovery rate above 96%. …”
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Development of a virulent O'nyong'nyong challenge model to determine heterologous protection mediated by a hydrogen peroxide-inactivated chikungunya virus vaccine. by Whitney C Weber, Zachary J Streblow, Takeshi F Andoh, Michael Denton, Hans-Peter Raué, Ian J Amanna, Dawn K Slifka, Craig N Kreklywich, Irene Arduino, Gauthami Sulgey, Magdalene M Streblow, Mark T Heise, Mark K Slifka, Daniel N Streblow

“…Since highly passaged alphaviruses often lose pathogenic features, we constructed an infectious clone for ONNV-UVRI0804 (ONNV0804), a 2017 isolate from a febrile patient in Uganda. …”
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Identification and classification of solid–liquid flow patterns in deviated and horizontal annuli by Di Yao, Xiaofeng Sun, Jingyu Qu

“…Through direct visual observations, four primary flow patterns were systematically classified on the basis of the solid–liquid two-phase flow behaviors identified in the experiments: stable bed (SB), sand wave (SW), sand dune (SD), and bed load (BL) flows. The experimental data were then used to construct flow pattern maps with solid/liquid phases as axes, after which the transition boundaries between different flow patterns were established.The morphological characteristics and transition mechanisms of SB, SW, SD, and BL flows were systematically analyzed to develop three predictive models of the fluid dynamics principles governing these flow patterns’ transitions: (1) A transition boundary model of SB and SW flows was established using Kelvin–Helmholtz stability, for which a stability analysis of solid–liquid two-phase flow in deviated and horizontal annuli was carried out. (2) A transition boundary model of SW and SD flows was constructed through an analysis of the geometric features of sand waves in the annuli, with the critical ratio of the average height of a cuttings bed to its height after erosion being 0.45. (3) A traditional critical velocity model was refined by adjusting the von Karman constant to account for the effect of solid volume concentration, yielding a boundary model for the transition of SW or SD flow into BL flow. …”
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