Assessing the impact on mode competitiveness of improvements of the Trans-Eurasian railway network by Seyed Mohseni, Edwin van Hassel, Thierry Vanelslander

“…When comparing the (combinations of) transport modes, it turns out that the rail costs are on average 1.5 times to twice as high as when using maritime transport, but the more westward the origin on the Chinese territory, the closer the ratio gets to 1. The sensitivity analysis shows that in particular using longer trains will allow strongly further reducing generalized rail chain costs, easily over a third of the base case costs. …”
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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

“…It also demonstrated a sensitivity of 0.937 and a specificity of 0.885. DCA (Decision Curve Analysis displayed that the radiomics-model had a greater clinical benefit in differentiating OA and ONFH.ConclusionWe have successfully constructed and evaluated an interpretable radiomics-based machine learning model that could distinguish between OA and ONFH. …”
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Clinical Outcome Discrimination in Pediatric ARDS by Chest Radiograph Severity Scoring by Yu-Chun Yan, Wen-Han Hao, Feng-Sen Bai, Shuang Liu, Dong Qu, Xin-Yu Yuan

“…The cutoff score was 21 (sensitivity 71.7%, specificity 76.5%), and the hazard ratio (HR) was 9.268 (95% CI: 1.257–68.320). …”
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Association between nutritional inflammation index and diabetic foot ulcers: a population-based study by Zhou Lin, Wanli Zhuang, Lei Wang, Weifeng Lan

“…These approaches collectively contributed to a sensitivity analysis, improving the reliability of the outcomes.ResultsOut of 29,608 participants extracted, 1,531 qualified based on the study criteria. …”
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Constructing stellar solutions with spherical symmetry through quadratic anisotropy in f(Q) gravity by R. Kumar, S. K. Maurya, A. Errehymy, A. Jaiswal, K. Myrzakulov, S. Sharma

“…The $$I-M$$ I - M curve shows greater sensitivity to the stiffness of the equation of state than the $$M-R$$ M - R curve, reinforcing our conclusion about the $$I-M$$ I - M framework’s responsiveness. …”
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Bayesian network for predicting mandibular third molar extraction difficulty by Tian Meng, Zhiyong Zhang, Xiao Zhang, Chao Zhang

“…Results This Bayesian network model analysed the weight by sensitivity of each risk factor and expressed the interaction relationship among risk factors as well as the effect of risk factors on extraction difficulty quantitatively. …”
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Fluid volume status detection model for patients with heart failure based on machine learning methods by Haozhe Huang, Jing Guan, Chao Feng, Jinping Feng, Ying Ao, Chen Lu

“…Four machine learning classification models were used to predict patients' fluid volume status, and their effectiveness was measured using the receiver operating characteristic (ROC) area under the curve (AUC), calibration curve, accuracy, precision, recall, F1 score, specificity, and sensitivity. Data from 186 heart failure patients collected between January 2022 and July 2022 were employed as an external validation set to investigate the effects of model training. …”
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Beyond containment: driving change in residential care: a Queensland, Australia model of therapeutic residential care by Shelley Wall, Stewart Redshaw, Kym Edwards

“…The paper will also detail the Mercy Family Services Therapeutic Residential Care model, a community of care approach that is underpinned by a needsbased, trauma-sensitive, and relationship/attachment-focused framework developed by Dr Redshaw, in response to an opportunity to pilot therapeutic residential care commissioned by the Department of Child Safety after recommendations arising from an inquiry into abuse in foster care conducted in Queensland in 2004. …”

Blockchain-Driven Optimized Chaotic Encryption Scheme for Medical Image Transmission in IoT-Edge Environment by Goli Archana, Rajeev Goyal, K. M. V. Madan Kumar

“…Traditional IoT architecture is heavily centralized, where it stores the most sensitive information that creates the multiple threats and security breaches as the attackers target towards these centralized cloud systems. …”
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Open-label dose-extending placebos for opioid use disorder: a protocol for a randomised controlled clinical trial with methadone treatment by Annabelle M Belcher, Thomas O Cole, Aaron D Greenblatt, Stephen W Hoag, David H Epstein, Michael Wagner, Amy S Billing, Ebonie Massey, Kristen R Hamilton, Zofia K Kozak, Christopher J Welsh, Eric Weintraub, Emerson M Wickwire, Eric D Wish, Ted J Kaptchuk, Luana Colloca

“…This approach is particularly compelling given that individuals with substance use disorder tend to have higher salience attribution and may thereby be more sensitive to placebo effects. Our study combines two promising clinical methodologies—conditioning/dose-extension and open-label placebo—to investigate whether placebo effects can increase the effective potency of methadone in treatment-seeking OUD patients.Methods and analysis A total of 120 newly enrolled treatment-seeking OUD patients will be randomly assigned to one of two different groups: either methadone plus daily placebo dose-extension (PDE; treatment group) or methadone/treatment as usual (control). …”
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Parsimonious versus extensive bleeding score: can we simplify risk stratification after percutaneous coronary intervention and reduce bleeding events by de-escalation of the antipl... by Pascal Vranckx, Stephan Windecker, Marco Valgimigli, Neil O’Leary, Yoshinobu Onuma, Peter Damman, Eva Christine Ida Woelders, Kai Ninomiya, Denise Adriana Maria Peeters, Arnoud Willem Johannes van 't Hof, Patrick Washington J C Serruys, Robert-Jan Matthijs van Geuns

“…The ZON-HR classification had a lower sensitivity (0.09 vs 0.26) and a higher specificity (0.97 vs 0.84), positive predictive value (0.13 vs 0.08) and accuracy (0.92 vs 0.82). …”
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Outcome evaluation and cost-effectiveness analysis for an integrated multidisciplinary diabetic limb salvage program: a combined observational and simulation study by Yan Sun, Xiaoli Zhu, Jaime Lin, John Abisheganaden, Zhiwen Joseph Lo, Lixia Ge, Joseph Molina, Elaine Tan, Huiling Liew, Jeremy Hoe, Gary Ang, Kai Qiang Low, Theophilus Yap, Nur Aberleen Syafirah Binte Azmi, Enming Yong, Tiffany Chew, Hui Yan Koo, Chelsea Law, Dexter Yak Seng Chan, Claris Shi, Julia Choo, Wai Han Hoi, Sadhana Chandraskear, Jo Ann Lim, Jemes Siow, Sabariah Binte Kaspon, Subramaniam Tavintharan, Daniel Chew

“…The ICER was US$22 707 (SE: 430) per quality-adjusted life year gained, indicating long-term cost-effectiveness. Probabilistic sensitivity analysis supported these findings.Conclusions The integrated multidisciplinary DEFINITE Care program improved LEA-free survival, reduced inpatient admissions and length of stay within 1 year and demonstrated long-term cost-effectiveness managing DFUs.…”
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Drought induced metabolic shifts and water loss mechanisms in canola: role of cysteine, phenylalanine and aspartic acid by Raed Elferjani, Shankar Pahari, Raju Soolanayakanahally, Krista Ballantyne, Eiji Nambara

“…This study investigates the impact of soil water deficit on stomatal and epicuticular water losses, as well as metabolic adjustments in two canola (Brassica napus L.) cultivars—one drought-tolerant and the other drought-sensitive. Specifically, we examined the effect of a drought treatment, which involved reducing water holding capacity to 40%, on the levels of cysteine, sucrose, and abscisic acid (ABA) in the leaves of both cultivars. …”
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The thermal-flow performance of water-Al2O3 nanofluid flow in an elliptical duct heat exchanger equipped with two rotating twisted tapes by Hassan Wathiq Ayoob, Ihab Omar, Wed khalid Ghanim, Mohammad N. Fares, Mohammad Ali Fazilati, Soheil Salahshour, Sh Esmaeili

“…As a novel study case, the rotated tapes beside the water-Al2O3 NF of was used; and sensitivity analysis was performed to reveal the effect of the volume fraction of nanoparticles (ϕ), tapes rotational speed and Re number on the Nu number, pumping power and figure of merit (FOM). …”
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Spatial transcriptomics combined with single-nucleus RNA sequencing reveals glial cell heterogeneity in the human spinal cord by Yali Chen, Yiyong Wei, Jin Liu, Tao Zhu, Cheng Zhou, Donghang Zhang

“…Glial cells play crucial roles in regulating physiological and pathological functions, including sensation, the response to infection and acute injury, and chronic neurodegenerative disorders. …”
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CONTENT OF MODERN EDUCATION: CHOICE OF THE PATH by V. A. Testov

“…The feasibility of a reasonable combination of conservatism and innovation under the change of the education content and reforms implementation is approved. This highly sensitive and complex educational system requires «careful handling». …”
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Creep enhancement and sliding in a temperate, hard-bedded alpine glacier by J.-P. Roldán-Blasco, A. Gilbert, L. Piard, F. Gimbert, C. Vincent, O. Gagliardini, A. Togaibekov, A. Togaibekov, A. Walpersdorf, N. Maier

“…We demonstrate that the observed deformation rate profile has limited sensitivity to the flow law exponent (<span class="inline-formula"><i>n</i></span>) and instead mainly reflects an increase in the creep factor (<span class="inline-formula"><i>A</i></span>) with depth, with <span class="inline-formula"><i>A</i></span> departing from its surface value by up to a factor of 2.5 below 160 m depth. …”
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Increased nerve density adversely affects outcome in colorectal cancer and denervation suppresses tumor growth by Hao Wang, Ruixue Huo, Kexin He, Weihan Li, Yuan Gao, Wei He, Minhao Yu, Shu-Heng Jiang, Junli Xue

“…Incorporating PNI and NND into ROC curve analysis improved the sensitivity and specificity of survival predictions. …”
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Dual-Task Gait Performance Following Head Impact Exposure in Male and Female Collegiate Rugby Players by Emily E Kieffer, Per Gunnar Brolinson, Steven Rowson

“…Subjects wore inertial sensors and completed walking trials with and without a cognitive test at pre-season, post-season, and post-concussion (if applicable)…”
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AMH Is a Good Predictor of Metabolic Risk in Women with PCOS: A Cross-Sectional Study by Miaoxian Ou, Pei Xu, Han Lin, Kaichi Ma, Mingxing Liu

“…For the prediction of HOMA-IR, AMH had an AUC-ROC of 0.704 (95% CI 0.652–0.755) with a cutoff value of 7.81 mmol/L, a sensitivity of 70.3%, and a specificity of 70.1%. Conclusions. …”
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