Prognostic Factors of IVF&ICSI Cycle Cancellation in Patients with Endometriosis-Related Infertility by Elif Kulahci Aslan, Kiper Aslan, Cihan Cakir, Isil Kasapoglu, Berrin Avci, Baris Ata, Gurkan Uncu

“…Antral follicle count is the only independent factor in predicting cycle cancellation. The phenotype of endometriosis does not affect the results. …”
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The Surface Heat Flow of Mars at the Noachian–Hesperian Boundary by Javier Ruiz, Laura M. Parro, Isabel Egea-González, Ignacio Romeo, Julia Álvarez-Lozano, Alberto Jiménez-Díaz

“…We thus obtain a map of the heat flow variation across the Martian surface at the Noachian–Hesperian boundary. Our model also predicts an average heat flow between 32 and 50 mW <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi mathvariant="normal">m</mi><mrow><mo>−</mo><mn>2</mn></mrow></msup></semantics></math></inline-formula>, which implies that the heat loss of Mars at that time was lower than the total radioactive heat production of the planet, which has profound implications for the thermal history of Mars.…”
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Body Mass Index, Waist Circumference, Body Fat, Fasting Blood Glucose in a Sample of Moroccan Adolescents Aged 11–17 Years by Slimane Mehdad, Abdeslam Hamrani, Khalid El Kari, Asmaa El Hamdouchi, Amina Barakat, Mohamed El Mzibri, Najat Mokhtar, Hassan Aguenaou

“…The study aimed to assess the relationship between body fat and each of body mass index (BMI) and waist circumference (WC), and to test the effectiveness of fat mass (FM), percent of body fat (PBF), BMI, and WC in predicting high levels of fasting blood glucose (FBG). …”
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Novel Echocardiographic Parameter Assessing Pulmonary Vascular Resistance in Patient with Acyanotic Congenital Heart Disease by Muhammad Raihan Ramadhan Natadikarta, Charlotte Johanna Cool, Achmad Fitrah Khalid, Norman Sukmadi, Januar Wibawa Martha

“…Conclusions The echocardiography parameter (TRVmax/RVGLS) could serve as a dependable noninvasive method to predict PVR greater than 5 WU in acyanotic congenital heart disease patients. …”
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Echocardiographic Parameters as Predictors of In-Hospital Mortality in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention by Miroslava Sladojevic, Srdjan Sladojevic, Dubravko Culibrk, Snezana Tadic, Robert Jung

“…Risks for in-hospital mortality after PCI in ACS patients using echocardiographic measurements could be accurately predicted in contemporary practice. Incorporation of such developed model should facilitate research, clinical decisions, and optimizing treatment strategy in selected high risk ACS patients.…”
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Assessment of willingness to pay for improved air quality using contingent valuation method by S. Akhtar, W. Saleem, V.M. Nadeem, I. Shahid, A. Ikram

“…Results revealed that 92.5% of respondents showed positive willingness to pay and average predicted willingness to pay by each person was $9.86 per month. …”
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Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

“…This systematic review presents a critical analysis of advanced machine learning (ML) and deep learning (DL) approaches for predicting the remaining useful life (RUL) of electric vehicle (EV) batteries. …”
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Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes by Yibin Cai, Jianming Ding, XiaoJun Cai, Weikun Su, Guibin Weng, Xinlong Zheng, Shijie Chen, Lin Chen, YiJin Lin, Qiwei Yao, Chunkang Yang

“…Subsequently, we constructed nomogram models to predict recurrence and risk stratification. Kaplan–Meier curves showed that conditional locoregional recurrence-free survival and distant metastasis-free survival of patients in different risk groups and clinical stages progressively increased with survival time, whereas local recurrence and distant metastasis annual recurrence rates decreased yearly with increasing survival time. …”
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Prevalence and correlates of severe anxiety among front-line nurses during and after the COVID-19 pandemic: a large-scale multi-center study by Shutong Yang, Qingling Hao, Hongyu Sun, Yuan Yang, Jiao Liu, Cui Li, Yunsheng Fu, Cong Yao, Guoshuai Luo

“…Receiver Operating Characteristic analysis demonstrated good predictive value for severe anxiety. Conclusion The study underscores the importance of understanding and addressing severe anxiety among frontline nurses during and after the COVID-19 pandemic. …”
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Knockdown of hexokinase 2 results in a decreased expression level of the glycolytic enzymes PFKP, BPGM, and GPI in RKO cell line by M. S. Fedorova, I. Y. Karpova, A. V. Lipatova, E. A. Pudova, Z. G. Guvatova, D. V. Kochetkov, A. V. Chaika, B. Y. Alekseev, M. V. Kiseleva, A. D. Kaprin, A. V. Kudryavtseva, A. V.  Snezhkina

“…The study of the key aspects of colorectal cancer formation and progression is necessary to develop new approaches to its therapy, as well as to search for new diagnostic, prognostic and predictive biomarkers of CRC. In many types of tumors, one of the key changes in metabolism is the  activation of glycolysis, which is associated with alterations in the expression of the main glycolytic enzymes and regulatory molecules. …”
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Trends in Air Pollution in Europe, 2000–2019 by Wenche Aas, Hilde Fagerli, Andres Alastuey, Fabrizia Cavalli, Anna Degorska, Stefan Feigenspan, Hans Brenna, Jonas Gliß, Daniel Heinesen, Christoph Hueglin, Adéla Holubová, Jean-Luc Jaffrezo, Augustin Mortier, Marijana Murovec, Jean-Philippe Putaud, Julian Rüdiger, David Simpson, Sverre Solberg, Svetlana Tsyro, Kjetil Tørseth, Karl Espen Yttri

“…Notably, emission reductions and model predictions appear to slightly surpass the observed declines in sulfur and oxidized nitrogen, indicating a potential overestimation of reported emission reductions. …”
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Effect of bisphosphonate on bone microstructure, mechanical strength in osteoporotic rats by ovariectomy by Yuzhu Wang, Zhanglin Wu, Chun Li, Chenhao Ma, Jingyang Chen, Mincong Wang, Dawei Gao, Yufeng Wu, Haibin Wang

“…The structural parameters of cortical and trabecular bone were measured, and the mechanical properties were predicted using micro-finite element analysis. Results There was almost no significant difference in the morphological structure parameters and mechanical properties of cortical bone between normal, ovariectomized (sham-OVX) and BP intervention groups. …”
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A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress by Yong Liu, Tiesong Hu, Rui Zhu, Qiuwen Chen, Xiang Zeng, Peiran Jing, Yifan Huang

“…Additionally, the SRSC model reasonably predicted a coordinated decline in gs and Vcmax25 and concurrently mitigated the classical models that simulate gs and leaf water potential responses deviating from the actual values under drought conditions. …”
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Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features by Fan Liu, Fang Wang, Zaiqi Zhang, Liang Cao, Jinran Wu, You-Gan Wang

“…One model employs partial least squares regression (PLSR) to predict the R, G, and B color channels, effectively distinguishing yellow-seeded varieties from others according to globally accepted yellow-seed classification protocols. …”
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Risk Factors for Perforation in Endoscopic Treatment for Early Colorectal Cancer: A Nationwide ENTER-K Study by Ik Hyun Jo, Hyun Gun Kim, Young-Seok Cho, Hyun Jung Lee, Eun Ran Kim, Yoo Jin Lee, Sung Wook Hwang, Kyeong-Ok Kim, Jun Lee, Hyuk Soon Choi, Yunho Jung, Chang Mo Moon

“…We aimed to identify the characteristics and predictive risk factors for perforation related to endoscopic resection of ECC. …”
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Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer by Ying Ye, Ying Ye, Yi Huang, Yi Huang, Jianbo Pan, Jianbo Pan

“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.MethodsIn this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.ResultsIn total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques by Muhammad Mostafa Monowar, S. M. Nuruzzaman Nobel, Maharin Afroj, Md Abdul Hamid, Md Zia Uddin, Md Mohsin Kabir, M. F. Mridha

“…Techniques such as thresholding, predictive scoring, and the conversion of Softmax labels into multidimensional feature vectors improve interpretability. …”
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Endocrine Adverse Events in Patients Treated with Immune Checkpoint Inhibitors: A Comprehensive Analysis by Meriç Dökmetaş, Harun Muğlu, Erkan Özcan, Buket Bayram Kuvvet, Kaan Helvacı, Ender Kalacı, Seda Kahraman, Musa Barış Aykan, İrfan Çiçin, Fatih Selçukbiricik, Ömer Fatih Ölmez, Ahmet Bilici

“…Further research is needed to elucidate the underlying mechanisms and identify predictive biomarkers for irAE development.…”
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Oncogenic RIT1 mutations confer ferroptosis vulnerability in lung adenocarcinoma by Ruilan Ma, Dian Yang, Peng Wang, Ziyi Zhang, Xuehong Zhang, Jialiang Song, Han Liu, Shuyan Liu, Yingqiu Zhang, Lijuan Zou

“…Our bioinformatic analysis revealed that RIT1 alterations in lung cancer predicted poor survivals but differed from its RAS paralogs by showing largely amplification and mutation. …”
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The moderating role of social support on the impact of adverse childhood experiences on life satisfaction and mental health in adulthood by Muath Aldomini, Jerry W. Lee, Anna Nelson, Rhonda Spencer Hwang, Khulud K. Alharbi, Tassnym H. Sinky, Baraa S. Quronfulah, Wahaj A. Khan, Mohamed O. Elamin, Mohamed O. Nour

“…In contrast, PSS significantly mitigated this relationship. Conclusions: When predicting both mental health and life satisfaction following ACEs, potential protective effects of PSS (mainly instrumental support) and debilitating effects of NSS (rejection) were noted. …”
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