Unraveling smallholder food loss and value for sustainable cold chain investments: a case of horticultural value chains in Kiambu County, Kenya by Catherine W. Kilelu, Daniel M. Musyoka, Dorcas N. Kalele

“…There are gaps in system diagnostic of key factors and practices related to value preservation of food loss but is equally important in capturing value in market opportunities for smallholders and other value chain actors that can guide structuring of such cold chain investments. This article provides findings from a diagnostic study conducted to understand these factors and practices in smallholder focused horticultural value chains in Kenya. …”
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Conceptualisation, operationalisation and role of identity in physical activity and smoking in individuals aged 45 and over: a systematic scoping review by Kristell M Penfornis, Milon H M Van Vliet, Eline Meijer, Winifred A Gebhardt, Emma F Von Haeseler

“…Experts in the field contributed to validating and structuring the narrative.Results Findings revealed the existence of an intricate, enduring direct and indirect relationship between identity and behaviour for physical activity and smoking. …”
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Community-based surveillance of Chagas Disease: Characterization and use of Triatomine Information Posts (TIPs) in a high-risk area for triatomine reinfestation in Latin America. by Valéria Carla Faria Amaral, Millena Vieira Simões de Freitas, Gustavo Libério de Paulo, Silvia Ermelinda Barbosa, Janice Maria Borba de Souza, Bruno Silva Amaral, Liléia Gonçalves Diotaiuti, Raquel Aparecida Ferreira

“…For the first time in the scientific literature, a study is dedicated to characterizing TIPs operationally, structurally, and functionally, as well as understanding the factors that hinder their sustainability.…”
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A comparison of clinical communication skills between two groups of final-year medical students with different levels of communication skills training by Marietjie R. de Villiers, Martie van Heusden

“…The 2004 group was statistically significantly better in structuring the consultation by using signposting (p value = 0.02). …”
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Non-targeted metabolomic study in plasma in rats with post-traumatic osteoarthritis model. by Peng-Fei Han, Xi-Yong Li, Chang-Peng Zhang, Chang-Sheng Liao, Wei-Wei Wang, Yuan Li

“…The samples were divided into three groups: the surgically induced mild PTOA group (Group A: 3 weeks postoperative using the modified Hulth model; age 2 months), the surgically induced severe PTOA group (Group B: 5 weeks postoperative using the modified Hulth model; age 2 months), and the normal control group (Group C: healthy rats aged 2 months). Metabolites were structurally identified by comparing the retention times, molecular masses, secondary fragmentation spectra, collision energies, and other metabolite data with a database (provided by Shanghai Applied Protein Technology Co., Ltd.). …”
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Deep Learning-Based Safety Helmet Detection in Engineering Management Based on Convolutional Neural Networks by Yange Li, Han Wei, Zheng Han, Jianling Huang, Weidong Wang

“…Video monitoring systems provide a large amount of unstructured image data on-site for this purpose, however, requiring a computer vision-based automatic solution for real-time detection. …”
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A Dual-Enhanced Hierarchical Alignment Framework for Multimodal Named Entity Recognition by Jian Wang, Yanan Zhou, Qi He, Wenbo Zhang

“…Multimodal amed entity recognition (MNER) is a natural language-processing technique that integrates text and visual modalities to detect and segment entity boundaries and their types from unstructured multimodal data. Although existing methods alleviate semantic deficiencies by optimizing image and text feature extraction and fusion, a fundamental challenge remains due to the lack of fine-grained alignment caused by cross-modal semantic deviations and image noise interference. …”
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Named Entity Recognition in Online Medical Consultation Using Deep Learning by Ze Hu, Wenjun Li, Hongyu Yang

“…This can provide important data support for constructing more powerful online medical consultation knowledge graphs and improving virtual intelligent health assistants. …”
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Predictors of Islamic Financial Inclusion in the Northwest Nigeria: A Preliminary Cross-Sectional Investigation by Shehu Usman Rano Aliyu, Abubakar Hamid Danlami, Farida Mohammed Shehu

“…Leveraging on expositions in both the theoretical and empirical literature on dimensions of financial inclusion; access, use, quality, and barriers, this study constructs three logistic regression models based on access to financing facilities, access through automated teller machine (ATM), and access using unstructured supplementary service data (USSD) banking code. …”
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Effectiveness of teaching motivational interview technique to third professional year medical students to improve counseling skills – An interventional study by Govindaraju S. L. Manojna, B. Devi Madhavi

“…Antenatal and postnatal mothers completed a pre- and posttest questionnaire before and after being educated by trained medical students; later, the students completed a perception questionnaire regarding their confidence. Data were analyzed using SPSS version 17, and student perceptions were presented as percentages. …”
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Intraday and Post-Market Investor Sentiment for Stock Price Prediction: A Deep Learning Framework with Explainability and Quantitative Trading Strategy by Guowei Sun, Yong Li

“…This research provides methodological innovations for processing temporal unstructured data in finance, while the SHAP framework offers regulators and investors actionable insights into sentiment-driven market dynamics.…”
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Experiences of Gender-Based Violence Victims During COVID-19 Lockdown in the Selected Region F of Gauteng Province, South Africa by Carol Nontyatyambo Mbokodo, Azwinndini Gladys Mudau, Rachel Lebese

“…Thematic analysis was employed to scrutinize the data and ethical protocols and trustworthiness were meticulously observed throughout the study. …”
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Someone Like Me: A Trial of Context-Responsive Science as a Mechanism to Promote Inclusion by Jane Essex, Kirsty Ross, Ingeborg Birnie

“…The latter considers how the participants’ assessment of the interventions, implemented by writing or drawing on a blank postcard, was designed to provide unstructured responses and explores what the resulting data revealed about the impact of the interventions. …”
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Profiling 4C Skills Through PISA-Based Mathematics Tasks: A Contextual Analysis of Junior High School Students by Sinta Dameria Simanjuntak, Sahat Saragih, Israil Sitepu, Sondang Noverica

“…Employing a qualitative descriptive design, data were collected from 31 students using two PISA tasks and an unstructured teacher interview. …”
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Systemic Dynamics of Knowledge Sharing and Digital Transformation: Evidence from Bhutanese MSEs by Rob Kim Marjerison, Jin Young Jun, Jong Min Kim

“…Drawing on an integrative theoretical framework combining diffusion of innovations theory, the resource-based view, and institutional theory, survey data from 217 MSEs were analyzed using regression and interaction modeling techniques. …”
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A Systematic Literature Review of Financial Product Recommendation Systems by Di Wu, Xuhui Li

“…Exploring the potential correlations among financial time series enables accurate and rapid prediction of price trends. Characterizing unstructured data using text-mining techniques can improve the accuracy of the model. …”
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Algorithm for analyzing randomness in point patterns by Tony Sampaio, Jorge Rocha, Cláudia M. Viana, Silvana Camboin, Fábio Marcelo Breunig, Edenilson Nascimento, Elaine de Cacia de Lima Frick

“…. • Automated scripts for structuring data, calculating expected and observed values, and applying the chi-square goodness-of-fit test for statistical analysis. • Advanced spatial analysis using chi-square goodness of fit coupled with and without Bonferroni correction, providing deeper insight into the study of the effect of spatial phenomena on the distribution of point events.…”
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Three-Dimensional Forward Modeling and Inversion Study of Transient Electromagnetic Method Considering Inhomogeneous Magnetic Permeability by Chenyu Wang, Yan Dong, Jingyu Gao, Handong Tan, Yingge Wang, Weiyu Dong

“…However, in regions with igneous rock accumulations or where the subsurface is rich in ferromagnetic minerals, neglecting the magnetic properties of the underground medium may lead to erroneous interpretations for TEM data. This paper conducts a 3-D TEM forward modeling and inversion study considering the non-uniformity cases of magnetic permeability. 3-D TEM forward modeling employs an edge-based finite element method using unstructured grids and a second-order implicit backward Euler method, achieving a modeling algorithm that simultaneously considers non-uniform models of magnetic permeability and resis-tivity. …”
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Construction of a transfer learning-based depression detection model for female breast cancer patients: text sentiment analysis by Jiaqi Fu, Shisi Deng, Wanting Zheng, Chunrao Zheng, Jianhong Liu, Wenji Li, Yinghua Zeng, Hongpo Xie, Yuchang Mai, Chaixiu Li, Jie Lai, Yujie Zhang, Zihan Guo, Jianyao Tang, Chuhan Zhong, Huihui Zhao, Yanni Wu

“…Future work should expand demographic diversity and integrate multimodal data for enhanced clinical utility.…”
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A Position- and Similarity-Aware Named Entity Recognition Model for Power Equipment Maintenance Work Orders by Ziming Wei, Shaocheng Qu, Li Zhao, Qianqian Shi, Chen Zhang

“…However, due to limited research into automated information extraction, valuable operational and maintenance data remain underutilized. A key challenge is recognizing unstructured Chinese maintenance texts filled with specialized and abbreviated terms unique to the power sector. …”
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