Understanding the Relationship Between Ecological Momentary Assessment Methods, Sensed Behavior, and Responsiveness: Cross-Study Analysis by Diane Cook, Aiden Walker, Bryan Minor, Catherine Luna, Sarah Tomaszewski Farias, Lisa Wiese, Raven Weaver, Maureen Schmitter-Edgecombe

“…Digital markers, such as activity level, time spent at home, and proximity to activity transitions (change points), were extracted to provide context for the EMA responses. …”
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Detecting and identifying Schistosoma infections in snails and aquatic habitats: A systematic review. by Bishoy Kamel, Martina R Laidemitt, Lijun Lu, Caitlin Babbitt, Ola Liota Weinbaum, Gerald M Mkoji, Eric S Loker

“…<h4>Principal findings</h4>Our PRISMA process began with the perusal of 949 articles, of which 158 were retained for data extraction and evaluation. We identified 25 different techniques and for each applied a GRADE assessment considering limitations, inconsistency, imprecision, indirectness, and publication bias. …”
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Facilitators and Barriers to the Implementation of Digital Health Technologies in Hospital Settings in Lower- and Middle-Income Countries Since the Onset of the COVID-19 Pandemic:... by Sheng Qian Yew, Daksha Trivedi, Nurul Iman Hafizah Adanan, Boon How Chew

“…Among the 64 facilitators of DHT implementation, the availability of continuous on-the-job training (n=3), the ability of DHTs to prevent cross-infection (n=2), and positive previous experiences using DHTs (n=2) were the top 3 reported facilitators. …”
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Research on SeaTreasure Target Detection Technology Based on Improved YOLOv7-Tiny by Xiang Shi, Yunli Zhao, Jinrong Guo, Yan Liu, Yongqi Zhang

“…First, based on the YOLOv7-Tiny network, the MAFPN neck structure is used to replace the ELAN structure to achieve the multi-scale capture of semantic information of underwater sea treasures, and to enhance the UPA-YOLO model to accurately locate the targets of underwater sea treasures; second, the P2ELAN module is constructed and added to the backbone network, which makes use of the redundancy information in the feature map and dynamically adjusts the convolution kernel to adapt to data The P2ELAN module is added to the backbone network, using the redundant information in the feature map, dynamically adjusting the convolutional kernel to adapt to the lack of data, reducing the number of parameters in the model, and introducing the MSCA attention mechanism to inhibit the complex and changeable background features underwater, to improve the semantic feature extraction ability of the UPA-YOLO model for underwater targets, adding the MPDiou loss function to the improved algorithm model and completing the data validation of the detection model; finally, based on the TensorRT acceleration framework, the optimisation of the target detection Finally, based on the TensorRT acceleration framework, the target detection model is optimised, and the Jetson Nano edge device is used to complete the localisation deployment and realise the real-time target detection task of underwater sea treasures. …”
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Effect of exosomes derived from periodontal ligament stem cells on orthodontic bone remodeling by LEI Fangcao, LIU Yuanbo

“…Healthy periodontal ligament tissues from clinical orthodontic reduction extractions were collected, and periodontal ligament stem cells (PDLSCs) were isolated and cultured. …”
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Pretreatment PET dissemination features as biomarkers for survival outcomes in melanoma patients treated with immune-checkpoint inhibitors by Hanna Saadani, Else A. Aalbersberg, Mutamba T. Kayembe, John B.A.G. Haanen, Otto S. Hoekstra, Ronald Boellaard, Marcel P.M. Stokkel

“…The validated dissemination model, clinical model and combination model showed similar low discriminative ability with an Area Under the Curve (AUC) of 0.61–0.66 for OS and an AUC of 0.59–0.66 for PFS. …”
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The emerging role of next-generation sequencing in minimal residual disease assessment in acute lymphoblastic leukemia: a systematic review of current literature by Andreea-Iulia Ștefan, Andreea-Iulia Ștefan, Letiția-Elena Radu, Letiția-Elena Radu, Dumitru Jardan, Anca Coliță, Anca Coliță

“…Data on end-of-induction MRD values, event-free survival (EFS), and overall survival (OS) were extracted.ResultsThirteen studies met the inclusion criteria. …”
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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…The local features extracted by convolutional neural networks are mapped to graph-structured data, and the nodal attention mechanism of GAT is used to capture the global topological association of space objects, which makes up for the deficiency of the convolutional operation in weight allocation and realizes GAT integration. …”
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Physicians’, pharmacists’, and nurses’ education of patients about antibiotic use and antimicrobial resistance in primary care settings: a qualitative systematic literature review... by Lavinia Bianca Balea, Ragnhild J. A. Gulestø, Hongxuan Xu, Hongxuan Xu, Stinne Glasdam

“…Quality appraisal followed the Critical Appraisal Skills Program (CASP) qualitative study checklist. Data were extracted, and the analysis consisted of a descriptive numerical summary analysis and a qualitative thematic analysis.ResultsThe analyzed studies spanned multiple countries and settings and included perspectives of primary care physicians, pharmacists, nurses and patients. …”
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Inactivation of Emerging Opportunistic Foodborne Pathogens <i>Cronobacter</i> spp. and <i>Arcobacter</i> spp. on Fresh Fruit and Vegetable Products: Effects of Emerging Chemical an... by Junior Bernardo Molina-Hernandez, Beatrice Cellini, Fatemeh Shanbeh Zadeh, Lucia Vannini, Pietro Rocculi, Silvia Tappi

“…Emerging chemical (organic acid compounds, extracts, and essential oils) and physical methods (combination of UV-C with electrolysed water, ultrasound, and cold atmospheric plasma) offer innovative and environmentally friendly alternatives to traditional approaches. …”
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Comparison of phenotypic and genetic traits of ESBL-producing UPEC strains causing recurrent or single episode UTI in postmenopausal women by Michelle Kalu, Peter Jorth, Annie Wong-Beringer

“…Presence of hlyA, ompT, and fimH genes were confirmed by colony PCR, and qRT-PCR was performed using extracted RNA from a subset of 18 strains (12 recurrent; 6 single episode) grown in Luria-Bertani media and isolated from infected BECs to characterize gene expression. …”
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MRI feature-based discrimination model for prediction of MGMT promoter methylation status in glioma by ZHANG Zhi-zhong, YOU Na, LIU Ming-hang, LI Ze, SUN Guo-chen, ZHAO Kai

“…Imaging features were extracted, including calcification, clear lesion margins, peritumoral edema, T2WI/T2-FLAIR mismatch, cortical involvement, subventricular zone involvement, insular involvement, homogeneous signal on T2WI, and enhanced lesions. …”
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Radiomic Machine Learning in Invasive Ductal Breast Cancer: Prediction of Ki-67 Expression Level Based on Radiomics of DCE-MRI by Huan Yang MM, Wenxi Wang MM, Zhiyong Cheng MM, Tao Zheng MD, Cheng Cheng MD, Mengyu Cheng MM, Zhanqiu Wang MM

“…Radiomics features were extracted from DCE-MRI using 3D-Slicer software. Two Ki-67 expression cutoff values (20% and 29%) were examined. …”
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Conveyor belt deviation identification algorithm based on anchor point positioning and cross-layer correction by Zhe WANG, Zhe FU, Pengjun CAO, Qing LI, Gaoxiang ZHANG

“…This is done to capture more comprehensive internal dependency relationships and obtain more precise image feature information, thereby enhancing the decoder’s perception ability of the conveyor belt edge lines. Secondly, a cross-layer correction strategy is added during the training stage of the model. …”
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The Application of Digital Intelligence Technology in the Management of Non-Hospitalized Patients with Rare Diseases by YAO Yiyang, GAO Yi, GUO Yixuan, QIN Zhuoyue, ZHANG Yaofang, JING Jiaqi, XIE Jing, GUO Jian, ZHANG Shuyang

“…The Internet information platform helped patients and their caregivers learn more about the disease and improved their self-management ability. The wearable device helped monitor the health status of patients in real time and predict the risk of emergent events. …”
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Lightweight rice leaf spot segmentation model based on improved DeepLabv3+ by Jianian Li, Long Gao, Xiaocheng Wang, Jiaoli Fang, Zeyang Su, Yuecong Li, Shaomin Chen

“…First, the lightweight feature extraction network MobileNetV3_Large (MV3L) was adopted as the backbone of the model. …”
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Chemical forms and stabilization of phosphorus in manures from large-scale livestock and poultry farms by Xie Guoxiong, Wu Chongshu, Kong Zhangliang, Jiang Mingbei

“…The total phosphorus content in the manures ranged from 18.70 to 54.30 g/kg with a mean of 30.50 g/kg. Extractable inorganic phosphorus in the manures accounted for the total phosphorus up to 70.08%, averagely. …”
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The Evaluation of Small-Scale Field Maize Transpiration Rate from UAV Thermal Infrared Images Using Improved Three-Temperature Model by Xiaofei Yang, Zhitao Zhang, Qi Xu, Ning Dong, Xuqian Bai, Yanfu Liu

“…To evaluate the performance of 3T model based on land surface temperature (LST) and canopy temperature (T_C) in estimating transpiration rate, this study utilized an unmanned aerial vehicle (UAV) equipped with a thermal infrared (TIR) camera to capture TIR images of summer maize during the nodulation-irrigation stage under four different moisture treatments, from which LST was extracted. The Gaussian Hidden Markov Random Field (GHMRF) model was applied to segment the TIR images, facilitating the extraction of T_C. …”
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Value of D-dimer in predicting various clinical outcomes following community-acquired pneumonia: A network meta-analysis. by Jiawen Li, Kaiyu Zhou, Hongyu Duan, Peng Yue, Xiaolan Zheng, Lei Liu, Hongyu Liao, Jinlin Wu, Jinhui Li, Yimin Hua, Yifei Li

“…Randomized clinical trials (RCT) and observational studies were included to demonstrate the association between the level of D-dimer and clinical outcomes. Data were extracted using an adaptation of the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies (CHARMS-PF). …”
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Evaluating the efficiency of emergency operation centers during pandemics: a cross-sectional study with operational managers in Iran by Majid Sartipi, Majid Sartipi, Asiye Aminafshar, Asiye Aminafshar, Abdolrazzagh Pakzad, Mohammadreza Shafiei, Hojjat Farahmandnia, Asghar Tavan

“…A significant relationship was found between past crisis experience and the scores of all extracted components. Individuals who had previously been involved in crises scored higher. …”
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