Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate by Jean-Marc Hero, Luke Shoo, Michael Duncan, Darren Roche, Jesse Kenny, Howard Taylor, Tim Robson, Sanjeev Kumar Srivastava, Josh Veitch-Michaelis

“…Each year the city maintains over 4000 Ha of restoration works. The program is supported by an environmental decision support tool (oRestore) for the smart allocation of restoration funds over space and time (see [1] for details). …”
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Risk factors for difficult peripheral venous cannulation in hospitalised patients. Protocol for a multicentre case–control study in 48 units of eight public hospitals in Spain by Jose Miguel Morales-Asencio, Ian Blanco-Mavillard, Miguel Angel Rodríguez-Calero, Ismael Fernandez-Fernandez, Luis Javier Molero-Ballester, Catalina Matamalas-Massanet, Luis Moreno-Mejias, Joan Ernest de Pedro-Gomez

“…Patients who present one of the following conditions will be assigned to the case group: two or more failed punctures, need for puncture support, need for central access after failure to achieve peripheral access, or decision to reject the technique. …”
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Resilience throughout COVID-19: Unmasking the realities of COVID-19 and vaccination facilitators, barriers, and attitudes among Black Canadians. by Obidimma Ezezika, Toluwalope Adedugbe, Isaac Jonas, Meron Mengistu, Tatyana Graham, Bethelehem Girmay, Yanaminah Thullah, Chris Thompson

“…Overall, these findings provide a comprehensive and contextually rich understanding of pandemic experiences and impact, along with determinants that have influenced participants' vaccination decisions. Furthermore, the data revealed diverse experiences within Black communities, including severe infections, stigma, and vaccine-related challenges, highlighting the importance of targeted interventions, support, and consideration of social determinants of health in addressing these effects.…”
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Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms. by Alemu Birara Zemariam, Biruk Beletew Abate, Addis Wondmagegn Alamaw, Eyob Shitie Lake, Gizachew Yilak, Mulat Ayele, Befkad Derese Tilahun, Habtamu Setegn Ngusie

“…Results have shown that machine learning algorithms can accurately predict stunting, making them potentially valuable as decision-support tools for the relevant stakeholders and giving emphasis for the identified predictors could be an important intervention to halt stunting among adolescent girls.…”
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FINNISH MODEL OF BRIEF PARENT-INFANT PSYCHOTHERAPY ON MATERNAL MENTAL HEALTH AND PSYCHOSOCIAL FUNCTIONING - A PILOT STUDY by EINO PARTANEN, ANNA SALONEN, MARJO FLYKT, VEERA MALKKI, TOM H. ROSENSTRÖM, SUOMA E. SAARNI

“…Further studies with larger sample size and comparison groups are warranted to support evidence-based decision making in the planning of perinatal mental health services.…”
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Consensus on rapid screening for prodromal Alzheimer’s disease in China by Yao Lu, Ying Wang, Jianping Jia, Qihao Guo, Ya Miao, Lin Huang, Xiaochun Chen, Qinjie Li, Fengfeng Pan, Liang Cui, Tianlu Chen, Yatian Li, Jingnan Wu

“…At this stage, disease-modifying interventions should be used to prevent the progression to dementia. …”
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Presenting the internal evaluation model on the performance of the banking industry based on the data theory method of the foundation by Zahra Ramzanpour Osmavandani, mehdi Rouholamini, Shahrbanoo Gholipour

“…The results indicated that a total of 5 components of job security, training, employee motivation and satisfaction, positive communication, development and reward were identified as internal marketing features in the banking industry, and 14 components were identified and extracted in the form of causal conditions (establishing constructive interaction between employees and managers, generous rewards, employee empowerment, management support), foundational conditions (organizational leadership and management, human resource management measures, organizational culture), interventions (political climate, organizational costs), strategies (promotion of customer-oriented culture, person-job fit), and outcome (human development, value creation, increased commitment). …”
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Research on the Simulation Model of Dynamic Shape for Forest Fire Burned Area Based on Grid Paths from Satellite Remote Sensing Images by Xintao Ling, Gui Zhang, Ying Zheng, Huashun Xiao, Yongke Yang, Fang Zhou, Xin Wu

“…Four machine learning models, such as Random Forest (RF), Gradient Boosting Decision Trees (GBDT), Support Vector Machine (SVM), and Multilayer Perceptron (MLP), were trained using 80% effective samples from four forest fires, and 20% used to verify the above models. …”
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Parkinson’s Disease Prediction: An Attention-Based Multimodal Fusion Framework Using Handwriting and Clinical Data by Sabrina Benredjem, Tahar Mekhaznia, Abdulghafor Rawad, Sherzod Turaev, Akram Bennour, Bourmatte Sofiane, Abdulaziz Aborujilah, Mohamed Al Sarem

“…PMMD’s success in integrating diverse data sources through cross-modal attention underscores its potential as a robust diagnostic decision support tool for accurately diagnosing PD.…”
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Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study by Yuan Liu, Songyun Zhao, Wenyi Du, Wei Shen, Ning Zhou

“…In the present study, four advanced machine learning algorithms—Extreme Gradient Boosting (XGBoost), Random Forest (RF), Support Vector Machine (SVM), and k-nearest neighbor (KNN)—were employed to develop predictive models. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

“…Furthermore, it enhances the interpretability of the XGBoost model through SHAP analysis to guide clinical decision-making.…”
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Development and Validation of the Systemic Inflammatory Response Index-Based Nomogram for Predicting Short-Term Adverse Events in Patients With Acute Uncomplicated Type B Aortic In... by Wang Y, Wu X, Wang Y, Zhang Z, Liu X, Sun D, Liu X, Zhou T, Wang X

“…The model’s performance was evaluated using the area under the curve (AUC), calibration curves, decision curve analysis (DCA), and net reclassification index (NRI).Results: Among the 332 patients, 217 were male (65.4%), with a mean age of 64.3± 9.4 years. …”
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Gait physiotherapy with motor imagery in people with Parkinson’s disease: a protocol for randomized control GAITimagery trial by Constanza San Martín Valenzuela, Constanza San Martín Valenzuela, Constanza San Martín Valenzuela, Esperanza Ramírez Murcia, Estela Aznar-Requena, Dalia García Sotolongo, Rebeca Rosas-Martín, M. Luz Sánchez-Sánchez, M. Luz Sánchez-Sánchez

“…This still-to-be-finish study will support the therapeutic decisions on whether or not to allocate session time to imagery exercises depending on the effect size achieved and the comparison with a control gait training.…”
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Who is to blame for the ‘problem’ of teenage pregnancy? Narratives of blame in two South African communities by Zoe Duby, Brittany Bunce, Chantal Fowler, Kate Bergh, Kim Jonas, Nevilene Slingers, Catherine Mathews, Fareed Abdullah

“…Policies and programmes should focus on both providing sufficient support to AGYW, while also addressing structural factors and harmful narratives and thus create the conditions necessary to enable AGYW to enact safe, informed, agentic and responsible decisions and behaviours about their own sexual and reproductive health.…”
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Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis by Xinyang Han, Jingguo Qu, Man-Lik Chui, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

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Improving health outcomes and quality at the subdistrict level: Evaluation of the ‘3 feet model’ in Waterberg District, Limpopo Province, South Africa by H Schneider, F Mukinda, J Cupido, J Wessels, P Kupa, P Leboho, N Nkoana, N Bosch, Y Pillay

“…A prospective, process-tracing evaluation was conducted jointly between researchers, intervention partners and subdistrict decision-makers. …”
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Comparative effectiveness of urine drug screening strategies alongside opioid agonist treatment in British Columbia, Canada: a population-based observational study protocol by Malcolm Maclure, M Eugenia Socías, Evan Wood, Paul Gustafson, Robert W Platt, Bohdan Nosyk, Jeong Eun Min, Micah Piske, Julie Bruneau, U Siebert, P Todd Korthuis, Paxton Bach, B Carolina Guerra-Alejos, Megan Kurz, Laura M Dale, X Joan Hu, Kyle Kampman, Tom Loughin

“…Introduction Urine drug tests (UDTs) are commonly used for monitoring opioid agonist treatment (OAT) responses, supporting the clinical decision for take-home doses and monitoring potential diversion. …”
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Does drug dispensing influence patients’ medication knowledge and medication adherence? A systematic review and meta-analysis by Elizabete Priscila Costa Santana, Haidelucia Rodrigues Vieira Javarini, Dyego Carlos Souza Anacleto de Araújo, Sabrina Cerqueira-Santos, Tiago Marques Reis, Genival Araujo dos Santos-Junior, Kérilin Stancine Santos Rocha

“…However, the meta-analysis indicated that drug dispensing does not have an impact on medication adherence. Our findings can support evidence-based decisions, guiding the planning and development of public policies and interventions which improve drug dispensing for patients, families, and communities.…”
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Presenting the model of factors affecting the resilience of entrepreneurial behavior in Technical and Vocational University of Alborz province by Ali Abdi Jamayran, Manouchehr Niknam, Hasan Rangriz

“…The output of the research is to emphasize the strengthening of four variables, including the individual and personal capabilities and qualifications of the graduates, strengthening the educational elements related to the development of entrepreneurship in the university, strengthening the government's support conditions (facilitation, support, and encouragement), and finally intervention in the six environments effective on university entrepreneurship.Heydary et al, (2023) studied the design of a model of resilience in government organizations of Kermanshah province. …”
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Patient centered medication treatment for opioid use disorder in rural Vermont: a qualitative study by Emily G. Hichborn, Owen B. Murray, Eilis I. Murphy, Tess E. Gallant, Sarah K. Moore, Bethany M. McLeman, John Saroyan, Anthony Folland, Megan Mitchell, Lisa A. Marsch

“…Accessible social and financial support are imperative to the initiation and success of treatment for Opioid Use Disorder (OUD). …”
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