Quantifying hygroscopic deformation in lignocellulosic tissues: a digital volume correlation tool comparison by Kim Ulrich, Kim Ulrich, Fabian Scheckenbach, Tak Ming Wong, Tak Ming Wong, Tom Masselter, Silja Flenner, Anaclara Visconti, Anaclara Visconti, Anaclara Visconti, Martin Nopens, Andreas Krause, Sergej Kaschuro, Jakob Benedikt Mietner, Thomas Speck, Thomas Speck, Imke Greving, Berit Zeller-Plumhoff, Berit Zeller-Plumhoff, Linnea Hesse, Linnea Hesse

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Integrating transformative learning theory in synchronous E-learning in musculoskeletal pain education among primary care nurses: a randomized study by Khim Siong Ng, Zhi Yin Tang, Pang Nee Frida Wong, Joo Ling Joanne Chua, Li Lin Lydia Goh, Yi Ling Eileen Koh, Kim Hwee Koh

“…Abstract Background Synchronous E-learning has been used in Continuing Professional Education (CPE) to teach nurses about musculoskeletal (MSK) pain, but it is insufficient to achieve deeper conceptualization. …”
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Therapy Companion Mobile App for Acceptance and Commitment Therapy Exercises (ACTaide): Therapist and Client Co-Design Study by Serena Thapar, Daniela Quesada, Bärbel Knäuper

“…Each focus group included semistructured discussions and co-design activities. Data were collected through audio recordings and design artifacts (eg, sketches), which were analyzed using thematic content analysis. …”
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Mechanism of <italic>Hindu Datura</italic> in the Treatment of Rheumatoid Arthritis from the Perspective of Network Pharmacology by Changlong FU, Yangyang MEI, Xihai LI, Zhiwei QIU, Changxing CHEN, Chunsong ZHENG

“…Objective:To construct the active component target of <italic>Hindu datura</italic> and the disease target of rheumatoid arthritis by using network pharmacology, to predict the specific molecular signal and pathway of <italic>hindu datura</italic> in the treatment of rheumatoid arthritis, and to analyze its potential therapeutic target and molecular mechanism.Methods:All the chemical components of <italic>hindu datura</italic> were summarized and screened through Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)database, retrieval was performed with the preset oral bioavailability(OB)≥30%and drug like(DL)≥0.18.Uniprot database was used to screen the entire correlation basis of the effective chemical compound.After screening the disease target with"rheumatoid arthritis"as the retrieval word using GeneCards and OMIM database, the superimposed target area between the drug target of <italic>hindu datura</italic> and the disease target of rheumatoid arthritis was summarized and analyzed, and it could be used as the prediction target gene of <italic>hindu datura</italic> for treating rheumatoid arthritis.Network targets were constructed and analyzed for the exported data based on Cytoscape 3.7.1 software and STRING 7.8 database.Finally, GO functional enrichment analysis and KEGG signal pathway analysis were performed to further screen the main targets and signal pathways.Results:①Through screening and analysis, 27 effective compounds, 318 corresponding target genes and 125 predicted target genes were obtained for the treatment of rheumatoid arthritis.②The core genes in PPI network mainly included JUN, AKT1, RELA, MAPK1, etc.③GO functional enrichment analysis showed that the biological process(BP)for the treatment of rheumatoid arthritis by <italic>hindu datura</italic> mainly involves response to lipopolysaccharide, response to lipopolysaccharide, response to molecule of bacterial origin, response to metalion, response to oxidative stress, response to steroid hormone, cellular response to oxidative stress, reactive oxygen species metabolic process, response to oxygen levels, etc..The cell component(CC)consisted of membrane raft, membrane region, plasma membrane raft and presynaptic membrane; molecular functions(MF)mainly involved the nuclear receptor activity, transcription factor activity(direct ligand regulated sequence-specific DNA binding), steroid hormone receptor activity, cytokine receptors, cytokine activity, DNA-binding transcription activator activity, RNA polymeraseⅡtranscription factor binding, kinase regulator activity, receptor ligand activity, etc.The analysis of KEGG signaling pathway showed that the obvious pathway of <italic>hindu datura</italic> in the treatment of rheumatoid arthritis may involve IL-17 signaling pathway, TNF signal pathway, HIF-1signalpathway, Toll-like receptor signal pathway, etc.Conclusion:The potential mechanism of <italic>hindu datura</italic> for the treatment of rheumatoid arthritis is to exert anti-inflammatory, analgesic and antioxidant effects, which involve a number of interactive signal pathways.…”
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Development of extensive growth and growth boundary models for mesophilic and psychrotolerant Bacillus cereus in dairy products (Part 1) by Maryam Maktabdar, Ellen Wemmenhove, Elissavet Gkogka, Paw Dalgaard

“…Cardinal parameter values for the two extensive growth boundary models were selected conservatively using data from BHI broth or UF permeate, such that the widest growth range was obtained for each environmental factor. …”
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Ginger-derived carbon quantum dots as sustainable inhibitor of steel corrosion and barite precipitation by B. A. Abd-El-Nabey, S. El-Housseiny, D. E. Abd-El-Khalek, M. A. Abd-El-Fatah

“…Abstract A one-step pyrolysis was used to synthesize ginger carbon quantum dots (G-CDs), which were described using XPS, FTIR, XRD, EDX, and TEM to validate the different integrated functions, particle dimension, morphology, component composition, amorphous construction, and bonding types. …”
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Advancing the measurement of knowledge, attitudes and practices of health workers who care for women and girls who have undergone female genital mutilation/ cutting (FGM/C): A qual... by Christina X Marea, Nicole Warren, Nancy Glass, Wisal Ahmed, Christina C Pallitto

“…Interview questions explored areas of knowledge, attitudes, and practices that influence FGM/C-related prevention and care activities. We used the directed content analysis methodology for the qualitative data analysis.…”
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Identification of Biomarkers Co-Associated with Lactylation and Acetylation in Systemic Lupus Erythematosus by Zhanyan Gao, Yang Feng, Chenghui Zheng, Fei Li, Zhan Sun, Mengmeng Xiang, Junrong Zhu, Mingyu Chu, Jinhua Xu, Jun Liang

“…LASSO regression, support vector machine recursive feature elimination (SVM-RFE), and ROC curve analysis were used to identify hub genes. Immune infiltration analysis and a clinical nomogram model were developed for accurate diagnosis and treatment prediction. qPCR was used to validate the hub genes. …”
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Effect of Nano Chitosan Concentration and Storage Temperature on the Physical Characteristics of Edible Films of Black Mangrove Starch-Chitosan by Lukman Mile, Happy Nursyam, Dwi Setijawati, Titik Dwi Sulistiyati

“…A completely randomized factorial design was used, and the data obtained were analyzed using Analysis of Variance (ANOVA) at a 95% confidence level with IBM SPSS statistics 25. …”
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Exploring the Potential of a New Nickel(II):Phenanthroline Complex with L-isoleucine as an Antitumor Agent: Design, Crystal Structure, Spectroscopic Characterization, and Theoretic... by Jayson C. dos Santos, João G. de Oliveira Neto, Ana B. N. Moreira, Luzeli M. da Silva, Alejandro P. Ayala, Mateus R. Lage, Rossano Lang, Francisco F. de Sousa, Fernando Mendes, Adenilson O. dos Santos

“…A study using ultraviolet–visible–near-infrared absorption spectroscopy demonstrated that the complex remains stable in solution. …”
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Accounting for temporal and spatial autocorrelation to examine the effects of climate change on vegetation greenness trend in China by Lingwei Chen, Likai Zhu, Cuiyutong Yang, Zizhen Dong, Rui Huang, Jijun Meng, Min Liu

“…This study provides new insights into the driving mechanisms of greenness change, which is useful to inform ecosystem modeling to make accurate predictions. …”
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Per- and polyfluoroalkyl substances are linked to incident primary dyslipidaemia: A prospective study from Chinese governmental employee cohort by Ling Li, Feiyun Ouyang, Jun He, Chengcheng Zhang, Yilu Li, Dan Luo, Shuiyuan Xiao

“…We further evaluated the interactions between PFAS and other environmental factors. …”
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Understanding ecohydrology and biodiversity in aquatic nature-based solutions in urban streams and ponds through an integrative multi-tracer approach by M. M. Warter, D. Tetzlaff, D. Tetzlaff, D. Tetzlaff, C. Soulsby, C. Soulsby, C. Soulsby, T. Goldhammer, D. Gebler, K. Vierikko, M. T. Monaghan, M. T. Monaghan

“…Stable isotopes and microbial data reflected a strong influence of urban water sources (i.e., treated effluent, urban surface runoff) across stream NBSs. …”
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Healing Activity of Propolis of Stingless Bee (<i>Scaptotrigona aff. postica</i>), Reared in Monoculture of Açaí (<i>Euterpe oleracea</i>), in Induced Wounds in Rats by Sara R. L. Ferreira, Suzanne A. Teixeira, Gabriella O. Lima, Jhennifer N. R. S. de Castro, Luís E. O. Teixeira, Carlos A. R. Barros, Daniel S. Pereira, Moisés Hamoy, Veronica R. L. O. Bahia, Nilton A. Muto

“…Wound healing is a complex and coordinated process involving interactions between cells and various messenger systems. …”
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Dose-response assessment of dipentyl phthalate effects on testosterone production and morphogenesis of late-gestation fetal rat testis by Maansi V. Gupta, Justin M. Conley, Christy Lambright, Logan F. Chin, Susan J. Hall, L. Earl Gray, Daniel J. Spade

“…Testosterone production was measured using an ex vivo culture assay, MNGs were quantified on testis sections, and fetal testes were used for RNA-seq, immunofluorescence, and in situ hybridization. …”
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Diverse regulated cell death patterns and immune traits in kidney allograft with fibrosis: a prediction of renal allograft failure based on machine learning, single-nucleus RNA seq... by Yuqing Li, Jiandong Zhang, Xuemeng Qiu, Yifei Zhang, Jiyue Wu, Qing Bi, Zejia Sun, Wei Wang

“…However, the role of different regulated cell death (RCD) pathways in post-transplant allograft fibrosis remains unclear.Methods and Results: Microarray transcriptome profiling and single-nuclei sequencing data of post-transplant fibrotic and normal grafts were obtained and used to identify RCD-related differentially expressed genes. …”
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Nonlinear Dynamics of MEG and EMG: Stability and Similarity Analysis by Armin Hakkak Moghadam Torbati, Christian Georgiev, Daria Digileva, Nicolas Yanguma Muñoz, Pierre Cabaraux, Narges Davoudi, Harri Piitulainen, Veikko Jousmäki, Mathieu Bourguignon

“…Phase-randomized surrogate signals were used to validate the nonlinearity of the original data. …”
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Association between GNRI and risk of non-alcoholic fatty liver disease in non-obese individuals: a Chinese longitudinal prospective cohort study by Linlin Shen, Siyu Chen, Haoran Guo, Zhiyan Wang, Jiashu Yang, Ke Chen, Hui Yuan

“…However, its association with NAFLD in non-obese individuals remains poorly understood.MethodsA post-hoc evaluation was conducted using longitudinal data from the Dryad repository, derived from health screenings of non-obese individuals at Wenzhou People’s Hospital (2010–2014). …”
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Neuroinflammation and Natural Antidepressants: Balancing Fire with Flora by Ana Clara Figueiredo Godoy, Fernanda Fortes Frota, Larissa Parreira Araújo, Vitor E. Valenti, Eliana de Souza Bastos Mazuqueli Pereira, Claudia Rucco P. Detregiachi, Cristiano M. Galhardi, Flávia Cristina Caracio, Rafael S. A. Haber, Lucas Fornari Laurindo, Masaru Tanaka, Sandra M. Barbalho

“…<b>Summary</b>: This narrative review synthesizes evidence from preclinical and clinical studies on the efficacy of phytochemicals such as curcumin, polyphenols, flavonoids, and alkaloids in lowering depressed symptoms. Consistent data show that these substances have neuroprotective, anti-inflammatory, and antioxidant properties, altering neuroimmune interactions, reducing oxidative damage, and improving mitochondrial resilience. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. …”
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