Mark loss can strongly bias estimates of demographic rates in multi-state models: a case study with simulated and empirical datasets by Touzalin, Frédéric, Petit, Eric J., Cam, Emmanuelle, Stagier, Claire, Teeling, Emma C., Puechmaille, Sébastien J.

“…The bats were individually identified using Passive Integrated Transponder (PIT) tag technology as potentially lost marks and multi-locus genotypes as 'permanent marks'. 3. …”
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The carbon cost of impaired welfare on sheep farms by L. Lanzoni, M.C. Reeves, K. Waxenberg, R. Ramsey, A.S. Atzori, J. Bell, R.M. Rees, G. Vignola, C.M. Dwyer

“…This study highlights the potential for reducing emission intensity through system-specific interventions, emphasising the importance of integrating animal welfare into GHG mitigation strategies.…”
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An inner membrane complex protein IMC1g in Plasmodium berghei is involved in asexual stage schizogony and parasite transmission by Yinjie Liu, Shitong Cheng, Gang He, Dawei He, Duo Wang, Sicong Wang, Lumeng Chen, Liying Zhu, Yonghui Feng, Liwang Cui, Yaming Cao, Xiaotong Zhu

“…Together, this work reveals an essential role of IMC1g in the parasite life cycle and suggests that IMC1 family members likely contribute to parasite gliding and invasion.IMPORTANCEThe malaria parasite’s inner membrane complex is critical to maintain its structural integrity and motility. Here, we identified the function of the IMC1g protein, a member of the IMC1 family, in invasive and proliferative stages of P. berghei. …”
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Supervised Injecting Room Cohort Study (SIRX): study protocol by Lisa Maher, Thomas Kerr, Matthew Hickman, Alexander Thompson, Peter Higgs, Paul Dietze, Paul A Agius, Nick Scott, Daniel O’Keefe, Mark A Stoové, Jack Stone, Dylan Vella-Horne, Ashleigh C Stewart, Amanda Roxburgh, Sione Crawford, Josephine Norman, Zachary Lloyd, Nico Clark

“…The Supervised Injecting Room Cohort Study (SIRX) aims to provide evidence of the effects, including cost-effectiveness, of a SIF embedded within a community health service, the Melbourne Medically Supervised Injecting Room (MSIR), which has a range of integrated harm reduction, health and social support services on-site.Methods and analysis The SIRX study design involves two prospective cohort studies that collect behavioural data and retrospectively and prospectively linked administrative data for primary and tertiary health services, criminal justice records, and mortality. …”
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Comparison of objectively measured and estimated cardiorespiratory fitness to predict all-cause and cardiovascular disease mortality in adults: A systematic review and meta-analysi... by Ben Singh, Cristina Cadenas-Sanchez, Bruno G.G. da Costa, José Castro-Piñero, Jean-Philippe Chaput, Magdalena Cuenca-García, Carol Maher, Nuria Marín-Jiménez, Ryan McGrath, Pablo Molina-García, Jonathan Myers, Bethany Gower, Francisco B. Ortega, Justin J. Lang, Grant R. Tomkinson

“…Our findings underscore the health-related benefits of higher CRF and advocate for its integration into clinical practice to enhance risk stratification.…”
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Exploring the barriers to cervical screening and perspectives on new self-sampling methods amongst under-served groups by Stephanie Gillibrand, Helen Gibson, Kelly Howells, Sean Urwin, Jennifer C. Davies, Emma J. Crosbie, Caroline Sanders

“…Methods We draw on three integrated theoretical frameworks (access to primary care services, intersectional and feminist perspectives) to examine participants’ barriers to screening and views toward self-sampling methods. …”
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An early lung cancer diagnosis model for non-smokers incorporating ct imaging analysis and circulating genetically abnormal cells (CACs) by Ran Ni, Yongjie Huang, Lei Wang, Hongjie Chen, Guorui Zhang, Yali Yu, Yinglan Kuang, Yuyan Tang, Xing Lu, Hong Liu

“…Furthermore, our results indicated that the model built using random forest (RF) method, which integrates clinical characteristics (age, extra-thoracic cancer history, gender), radiological characteristics of pulmonary nodules (nodule diameter, nodule count, upper lobe location, malignant sign at the nodule edge, subsolid status), the artificial intelligence analysis of LDCT data, and liquid biopsy achieved the best diagnostic performance in the independent external non-smokers validation cohort (sensitivity 92%, specificity 97%, area under the curve [AUC] = 0.99). …”
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Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors by Nalan Karunanayake, Lin Lu, Hao Yang, Pengfei Geng, Oguz Akin, Helena Furberg, Lawrence H. Schwartz, Binsheng Zhao

“…This underscores the model’s significant potential for clinical integration, offering enhanced diagnostic precision and reliability in radiological assessments.…”
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Timber and carbon sequestration potential of Chinese forests under different forest management scenarios by Hui-Ling Tian, Jian-Hua Zhu, Xiang-Dong Lei, Xin-Yun Chen, Li-Xiong Zeng, Zun-Ji Jian, Fu-Hua Li, Wen-Fa Xiao

“…This study utilised the national forest inventory (NFI) data to construct a model of forest growth and consumption using a machine learning algorithm (i.e. random forest), identified suitable areas for future forest expansion by integrating multi-source data, and set up three future forest management scenarios: business as usual (BAU), enhanced policy scenario (EPS) and maximum potential scenario (MPS). …”
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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

“…This approach aims to enhance production through large-scale extreme volume fracturing in horizontal wells by integrating the productivity of natural fractures and induced hydraulic fractures. …”
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From ocean to cage: evaluating the culture feasibility of Black-spotted croaker (Protonibea diacanthus) by Shubhadeep Ghosh, Gyanaranjan Dash, Biswajit Dash, Rajesh Kumar Pradhan, Sekar Megarajan, Pralaya Ranjan Behera, Ritesh Ranjan, Swatipriyanka Sen, Madhumita Das, Vettath Raghavan Suresh, Achamveetil Gopalakrishnan, Joykrushna Jena

“…These findings support the potential of P. diacanthus as a viable candidate for integration into commercial polyculture systems.…”
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Antibacterial Potential of Honeybee Venom and <i>Monascus purpureus</i> Extracellular Metabolites Against Multidrug-Resistant Pathogenic Bacteria by Islam I. Teiba, Yasser S. A. Mazrou, Abeer H. Makhlouf, Yasser Nehela, Abdallah E. Mohamed, Ahmed M. Abbas, Islam Mamdouh, Emad H. El-Bilawy

“…Scanning electron microscopy (SEM) revealed that BV and RD extracts disrupted the bacterial plasma membrane, suggesting that the bioactive compounds penetrate the bacterial cell wall and alter its integrity. Furthermore, GC–MS-based analysis revealed that the chemical composition of BV and RD extracts exhibited highly diverse structures, including complex polycyclic systems, porphyrins, steroids, and esters. …”
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…Additionally, RPA analysis indicated a higher prevalence of KOA among individuals aged 54 years and older. The integration of the top five clinical variables significantly enhanced the diagnostic accuracy for KOA, particularly when employing the RF model. …”
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A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care dataResearch in context by Olivia Murrin, Ninon Mounier, Bethany Voller, Linus Tata, Carlos Gallego-Moll, Albert Roso-Llorach, Lucía A. Carrasco-Ribelles, Chris Fox, Louise M. Allan, Ruby M. Woodward, Xiaoran Liang, Jose M. Valderas, Sara M. Khalid, Frank Dudbridge, Sally E. Lamb, Mary Mancini, Leon Farmer, Kate Boddy, Jack Bowden, David Melzer, Timothy M. Frayling, Jane A.H. Masoli, Luke C. Pilling, Concepción Violán, João Delgado

“…We address this gap by integrating large-scale primary-care and genetic data from multiple studies to interrogate multimorbidity patterns and producing digital resources to support future research. …”
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Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry by Yiwei Chen, Yiwei Chen, Jiali Lin, Detong Shi, Yu Miao, Yu Miao, Feng Xue, Feng Xue, Kexin Liu, Kexin Liu, Xiaotao Wang, Changqing Zhang, Changqing Zhang

“…Recent research has focused on the role of ubiquitination-related genes (URGs) in early OA prediction. This study aims to integrate URG expression data with machine learning (ML) to identify biomarkers that improve diagnosis and prognosis in the early stages of OA.MethodsOA single-cell RNA sequencing datasets were collected from the GEO database. …”
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Validation study of synthetic models for esophageal atresia with tracheoesophageal fistula (EA/TEF): A simulation-based training in pediatric surgery by Zahradníková Petra, Hnilicová Silvia, Lindák Martin, Pechanová Rebeka, Števková Dominika, Vitovič Pavol, Laurovičová Miroslava, Horn František, Tvrdoň Tomáš, Babala Jozef

“…The purpose of this study was to analyse experiences with paediatric MIS, the implementation of simulation training, and personal stances on integrating simulation training into training curricula. …”
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Depot-specific acetylation profiles of adipose tissues—therapeutic targets for metabolically unhealthy obesity by Haoyue Guo, Zhiyi Zhang, Juntao Yang, Jiangfeng Liu, Hongwei Lin, Ningbei Yin

“…Differentially expressed proteins and differentially modified Kac sites were identified, quantified, integrated, and subjected to functional analyses. Overlap analysis was performed between our datasets and previously published proteomic datasets in obesity populations. …”
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Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize by Manigben Kulai Amadu, Yoseph Beyene, Vijay Chaikam, Pangirayi B. Tongoona, Eric Y. Danquah, Beatrice E. Ifie, Juan Burgueno, Boddupalli M. Prasanna, Manje Gowda

“…Conclusion The lines carrying superior haplotypes can be used as potential donors in improving grain yield under drought stress. Integration of genomic selection with GWAS results leads not only to an increase in the prediction accuracy but also to validate the function of the identified candidate genes as well increase in the accumulation of favorable alleles with minor and major effects in elite breeding lines. …”
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An Ultra-Low Power, Adaptive All-Digital Frequency-Locked Loop With Gain Estimation and Constant Current DCO by Imran Ali, Hamed Abbasizadeh, Muhammad Riaz Ur Rehman, Muhammad Asif, Seong Jin Oh, Young Gun Pu, Minjae Lee, Keum Cheol Hwang, Youngoo Yang, Kang-Yoon Lee

“…The proposed design is integrated in an ADPLL for BLE transceiver and it is fabricated with 1P6M TSMC 55 nm CMOS technology. …”
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Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms by Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore

“…Conclusions Our study suggests ML derived algorithms could be used to rapidly identify children at increased risk of LDD. Integrating ML derived models into clinical decision-making may allow clinicians to target these children with closer observation and enhanced management.…”
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