No easy way out: towards a framework concept of long-term governance by Dirk Scheer, Sandra Venghaus, Stefania Sardo, Sascha Stark, Sophie Kuppler, Michael W. Schmidt, Carsten Hoyer-Klick

“…In essence, we understand long-term governance at its core as a reflexive policy-making process to address significant enduring and persistent problems within a strategy-based decision-making arena to best prepare for, navigate through, and experiment with a changing environment. …”
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Recent Advances in the Mechanisms of Postoperative Neurocognitive Dysfunction: A Narrative Review by Tingting Wang, Xin Huang, Shujun Sun, Yafeng Wang, Linlin Han, Tao Zhang, Tianhao Zhang, Xiangdong Chen

“…It aims to inform future research and clinical decision-making to address this multifaceted challenge.…”
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Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study by Hui-min Mao, Kai-ge Chen, Bin Zhu, Wan-liang Guo, San-li Shi

“…Conclusions The integrated DLRN can be a useful and non-invasive tool for preoperatively identifying moderate-to-severe chronic cholangitis in children with PBM, potentially enhancing clinical decision-making and personalized management strategies.…”
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TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors by Xin Lai, Shaoliang Wang, Xuanping Zhang, Xiaoyan Zhu, Yuqian Liu, Zhili Chang, Zhili Chang, Xiaonan Wang, Xiaonan Wang, Yang Shao, Yang Shao, Jiayin Wang, Yixuan Wang

“…Tumor mutation burden (TMB), defined as the number of somatic mutations of tumor DNA, is a well-recognized immunotherapy biomarker endorsed by regulatory agencies and pivotal in stratifying patients for clinical decision-making. However, measurement errors can compromise the accuracy of TMB assessments and the reliability of clinical outcomes, introducing bias into statistical inferences and adversely affecting TMB thresholds through cumulative and magnified effects. …”
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Comparing the efficacy of different methods in assessing cervical stromal invasion in endometrial carcinoma: a retrospective study of 2,020 patients by Ying Yang, Ying Yang, Zhijun Ye, Zhijun Ye, Yifei Zhao, Yifei Zhao, Zhengyu Li, Zhengyu Li

“…Combining MRI and biopsy could improve diagnostic sensitivity, aiding in clinical decision making and prognostic prediction. Comprehensive consideration of high-risk factors for the occurrence of CSI may aid the diagnosis. …”
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Nonimmune Hydrops Fetalis and Early Skeletal Changes in Congenital Syphilis: Case Series and Review of Literature by Kruti N Shah, Shwetal Bhatt, Vaishali Chanpura

“…Some cases also present with early skeletal changes, and hence, skeletal radiographs expedite the clinical decision-making process and direct further management of neonates. …”
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Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study by Daphna Y Spiegel, Isabel D Friesner, William Zhang, Travis Zack, Gianna Yan, Julia Willcox, Nicolas Prionas, Lisa Singer, Catherine Park, Julian C Hong

“…Recognizing sentiments and emotions surrounding the decision-making process can facilitate patient-centric and emotionally sensitive treatment recommendations.…”
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The Role of Technical Car Features in Managing and Promoting New Peer-to-Peer Car-Sharing Systems: Insights from Potential Users and Strategic Implications for Service Providers by Katarzyna Turoń, Andrzej Kubik, Piotr Folęga, Andrzej Wilk, Peter Bindzar, Truong M. N. Bui

“…The network structure, characterized by a relatively low density (0.2536) and a short average path length (1.872), suggests that a few central vehicle features dominate user decisions, and improvements in these key areas can quickly propagate through the decision-making process, enhancing overall user satisfaction. …”
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Prediction of drought-flood prone zones in inland mountainous regions under climate change with assessment and enhancement strategies for disaster resilience in high-standard farml... by Yongheng Shen, Qingxia Guo, Zhenghao Liu, Yanli Shen, Yikun Jia, Yuehan Wei

“…This study provides a theoretical basis for enhancing agricultural disaster resilience and sustainable development in localized areas, offering scientific decision-making support for policymakers to address future climate change and disaster risks.…”
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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

“…We identified BC and mortality risk factors, improving decision-making and outcomes.…”
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Describing viewpoints on human‐nature relationships to unveil socio‐environmental conflicts and support community‐based projects by Beatriz Demasi, Nina Garcia de Almeida Prado, Flávia Pereira Lima, Charbel N. El‐Hani, Renata Pardini

“…This situation fostered both collaborative research projects showing the potential of engaging with IP&LC for conserving biocultural diversity, and ideas in sustainability science as the relevance of accounting for plural human‐nature relationships and nature values in decision making. The success of these initiatives, however, depends on unveiling socio‐environmental conflicts as a first step to dialogue and cooperation. …”
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Modified sutureless and glue-free method versus conventional sutures for conjunctival autograft fixation in primary pterygium surgery: a systematic review and meta-analysis by Faisal Aljahdali, Waleed Khayyat, Abdulelah T BinYamin, Sultan A Al-Qahtani, Mohammed D Alghamdi, Ali Saleh Alsudais, Husain A Alalgum, Halah Bin Helayel, Mohammed AlMutlak

“…Understanding the learning curve and surgeon familiarity with novel techniques is crucial for optimising patient care and surgical outcomes, while individualised decision-making is necessary considering the advantages and disadvantages of each approach. …”
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Comparative effectiveness of manual therapy, pharmacological treatment, exercise therapy, and education for neck pain (COMPETE study): protocol of a systematic review with network... by Ana Izabela Sobral de Oliveira-Souza, Jordana Barbosa-Silva, Douglas P. Gross, Bruno R. da Costa, Nikolaus Ballenberger, Tiago V. Pereira, Liz Dennett, Susan Armijo-Olivo

“…The information gathered in this project will inform decision-making and guide personalized care of individual patients in the future.…”
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Rapid Detection of Hybrid Maize Parental Lines Using Stacking Ensemble Machine Learning by M. Aqil, M. Azrai, M. J. Mejaya, N. A. Subekti, F. Tabri, N. N. Andayani, Rahma Wati, S. Panikkai, S. Suwardi, Z. Bunyamin, E. Roy, M. Muslimin, M. Yasin, E. Prakasa

“…Therefore, development of an intelligent tassel classification system is deemed critical for hybrid purity decision-making. The research’s primary contribution is the integration of two widely used transfer learning architectures, Inception V3 and SqueezeNet, with stacking ensemble machine learning using four algorithms (logistic regression, support vector machine, random forest, and k-nearest neighbors) for rapid classification of tassel images. …”
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DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

“…It first applies the attention mechanism to highlight and assign weights to specific regions of an image that are relevant to the model’s decision-making process. Next, the CNN is employed to process the visual input and extract hierarchical features for classifying the input data into multiple classes. …”
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Development and validation of nomograms for predicting pentafecta outcomes before and after robot-assisted radical prostatectomy: a retrospective study by Tanan Bejrananda, Kiyoshi Takahara, Dutsadee Sowanthip, Tomonari Motonaga, Kota Yagi, Wataru Nakamura, Masanobu Saruta, Takuhisa Nukaya, Masashi Takenaka, Kenji Zennami, Manabu Ichino, Hitomi Sasaki, Makoto Sumitomo, Ryoichi Shiroki

“…Incorporating these nomograms into clinical practice may improve patient counseling and shared decision-making.…”
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Tibial tubercle transfer SurgeRy and physiothErapy Versus physIotherapy only for chronic paTellofemorAL paIn: study protocol for a randomiSed controllEd trial (REVITALISE) by Myrthe P. F. van de Ven, Martin Ophey, Victor van de Graaf, Sebastiaan A. W. van de Groes, Marijn Sinkeldam, Charlotte H. W. Wijers, Sander Koëter

“…This study will generate level-1 evidence on the most effective treatment for chronic PFP, which can be integrated into the national guideline to aid orthopaedic surgeons and physiotherapists in their decision-making and ultimately improve our care for patients with chronic PFP. …”
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Isolation of Extended-Spectrum β-lactamase- (ESBL-) Producing Escherichia coli and Klebsiella pneumoniae from Patients with Community-Onset Urinary Tract Infections in Jimma Univer... by Mengistu Abayneh, Getnet Tesfaw, Alemseged Abdissa

“…Thus, detecting and reporting of ESBL-producing organisms have paramount importance in the clinical decision-making.…”
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Preventing water pollution using importance-performance analysis and terrain analysis by L. Sulistyowati, N. Andareswari, F. Afrianto, A. Rais, M.F. Hafa, D. Darwiyati, A.L. Ginting

“…Integrating local knowledge with scientific data can improve decision-making and increase the effectiveness of water management strategies.METHODS: The methodological approach employed in this study included importance-performance analysis to determine priority problems in Batu City and terrain analysis as a hydrological analysis to determine the pollutant area in the Brantas watershed. …”
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Oakland score to identify low-risk patients with lower gastrointestinal bleeding performs well among emergency department patients by Daniel D. DiLena, Sean C. Bouvet, Madeline J. Somers, Maqdooda A. Merchant, Theodore R. Levin, Adina S. Rauchwerger, Dana R. Sax

“…Prospective evaluation is needed to understand if the risk score could augment ED decision-making and improve outcomes and resource utilization.…”
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