Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer by Xiaolong Liu, Pengxian Tao, He Su, Yulan Li

“…Abstract Gastric cancer (GC) is one of the most common tumors; one of the reasons for its poor prognosis is that GC cells can resist normal cell death process and therefore develop distant metastasis. Cuproptosis is a novel type of cell death and a limited number of studies have been conducted on the relationship between cuproptosis-related genes (CRGs) in GC. …”
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Similar Conditions With Opposite Effects: Predation‐Risk Effects on Prey Abundance Are Highly Contingent by Scott D. Peacor, Clayton E. Cressler, Kevin L. Pangle, Alexandra V. Rafalski, Chao Song, Earl E. Werner

“…Rather than study the influence of a particular controlled factor, we examine the problem with a novel approach. We examined the influence of risk effects in multiple experiments performed under similar study conditions. …”
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Colon Cancer Genetic and Epigenetic Changes, Etiopathogenesis, Risk Factors, Treatment: Literature Review by Gabrielė Ūbaitė, Aurelija Remeikaitė, Justas Žilinskas

“…To review the latest scientific developments and novel factors on the epidemiology, etiology, pathoge­nesis of colon cancer, focusing on the influence of genetics and epigenetics, risk factors, and the advancement of prevention and treatment methods. …”
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Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis by Shital Hajare, Rajendra Rewatkar, K.T.V. Reddy

“…Future research directions are identified, which advocate for the exploration of novel risk factors and the application of cutting-edge machine learning techniques to foster inclusivity and adaptability in diverse healthcare settings.…”
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Enhanced gap-filling for satellite-derived crop monitoring using temperature-driven reconstruction techniques by Flavian Tschurr, Lukas Valentin Graf, Achim Walter, Helge Aasen

“…One promising approach is incorporating physiological priors, such as the influence of environmental variables like air temperature on plant growth. We propose a novel method that combines Sentinel-2 Green Leaf Area Index (GLAI) observations with three temperature driven reconstruction techniques that describe the physiological relationship between growth and temperature in winter wheat. …”
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Mapping the extent of unhealthy food advertising around schools in Tāmaki Makaurau/Auckland by Karolina Kneller, Kelly Garton, Daniel J. Exeter, Victoria Egli

“…The score may be used to increase community awareness of the ubiquity of unhealthy advertising in children’s neighbourhoods and advocate for policy change.Practitioner pointsAdvertising present in the vicinity of 62% of Auckland schools; 83% of adverts promoted unhealthy food and/or drinksNovel advertising score assesses the spatial distribution of unhealthy advertising exposure.Advertising exposure score is significantly related to neighbourhood deprivation.Findings show the need for policy action to limit children’s advertising exposure around their schools in NZ.…”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…This study proposes a novel virtual-real-fusion simulation framework that integrates traffic accident generation, unmanned aerial vehicle (UAV)-based image collection, and a 3D traffic accident reconstruction pipeline with advanced computer vision techniques and unsupervised 3D point cloud clustering algorithms. …”
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A Collaborative Control Framework: Achieving Emergency Vehicle Priority While Minimizing Negative Impact on Ordinary Vehicles at Signalized Intersection by Ke-jun Long, Zhong-gen Zhang, Zhi-bo Gao, Si-qi Zhong, Jian Gu

“…This research introduces a novel collaborative control framework to jointly optimize dynamic emergency lane settings and signal schemes, considering EV priority and OVs benefits for a single signalized intersection. …”
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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy by Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen

“…This new computational approach is anticipated to aid community-wide efforts in rapidly and cost-effectively discovering novel peptides with strong tyrosinase inhibitory activities.…”
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The effect of electronic money and new payment instruments on the monetary aggregation variables and the role of banks in inflation and liquidity by Ali Rahbar, Hadi Rahmani Fazli, Parviz Davoodi, Hosein Samsami Mazraeh Akhond

“…On the other hand, banks play a crucial role in the development, expansion, and adoption of novel payment instruments, potentially affecting macroeconomic policies and variables. …”
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Localization and detection of deepfake videos based on self-blending method by Junfeng Xu, Xintao Liu, Weiguo Lin, Wenqing Shang, Yuefeng Wang

“…Moreover, research on the precise localization of manipulated regions within deepfake videos is limited, primarily due to the absence of datasets with fine-grained annotations that specify which regions have been manipulated.To address these challenges, this paper proposes a novel spatial-based training method that does not require fake samples to detect spatial manipulations in deepfake videos. …”
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E-Selectin/AAV Gene Therapy Promotes Myogenesis and Skeletal Muscle Recovery in a Mouse Hindlimb Ischemia Model by Antoine J. Ribieras, Yulexi Y. Ortiz, Yan Li, Nga T. Le, Carlos T. Huerta, Francesca A. Voza, Hongwei Shao, Roberto I. Vazquez-Padron, Zhao-Jun Liu, Omaida C. Velazquez

“…The response to ischemia in peripheral artery disease (PAD) depends on compensatory neovascularization and coordination of tissue regeneration. Identifying novel mechanisms regulating these processes is critical to the development of nonsurgical treatments for PAD. …”
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Optimal Sizing and Techno-economic Analysis of Combined Solar Wind Power System, Fuel Cell and Tidal Turbines Using Meta-heuristic Algorithms: A Case Study of Lavan Island by Hessameddin Talebi, Javad Nikoukar, Majid Gandomkar

“…This study introduces a novel mathematical approach to optimize the sizing of photovoltaic (PV), wind, hydrogen, battery, and fuel cell systems with electrolyzers, specifically tailored for the remote area of Lavan Island. …”
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CRYβB2 alters cell adhesion to promote invasion in a triple-negative breast cancer cell line by Amr A. Waly, London Harper, Jodie M. Fleming, Lindsey M. Costantini

“…These findings provide a novel link between a previously identified differentially expressed gene, CRYβB2, in driving breast cancer phenotypes by modulating a class of adhesion proteins.…”
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Impact of Corona Virus on The Life Status of Kurdish People Living in Kurdistan Region of Iraq by Pary M. Azize, Chia H. Sadiq, Lavin Luqman Othman

“…The novel coronavirus (COVID-19) is currently one of the most common causing concerns in the medical community. …”
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Microbial bioindicators associated with cadmium uptake in sixteen genotypes of Theobroma cacao by Jennifer E. Schmidt, Caleb A. Lewis, Alana J. Firl, Pathmanathan Umaharan

“…Research into Cd minimization has investigated soil management, cacao genetic variation, and postharvest processing, but has overlooked the cacao-associated microbiome despite promising evidence in other crops that root-associated microorganisms could help reduce Cd uptake.A novel approach combining both amplicon and metagenomic sequencing identified microbial bioindicators associated with leaf and stem Cd accumulation in sixteen field-grown genotypes of Theobroma cacao. …”
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Kaempferol enhances ER-mitochondria coupling and protects motor neurons from mitochondrial dysfunction and ER stress in C9ORF72-ALS by Federica Pilotto, Paulien Hermine Smeele, Olivier Scheidegger, Rim Diab, Martina Schobesberger, Julieth Andrea Sierra-Delgado, Smita Saxena

“…Lastly, in silico modelling identified a novel kaempferol target and mechanistically the neuroprotective mechanism of kaempferol is through the iP3R-VDAC1 pathway via the modulation of GRP75 expression. …”
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Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images by Muqaddas Abid, Muhammad Suzuri Hitam, Rozniza Ali, Hamed Azami, Anne Humeau-Heurtier

“…Leveraging these advantages, we introduce a novel concept, two-dimensional increment entropy (IncrEn2D), tailored for analyzing image textures. …”
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Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

“…Accordingly, this paper proposes a novel face recognition method for underground engineering environments based on dual-target domain adaptation (DTDA) and discriminative feature learning (DFL). …”
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Deciphering sepsis: transforming diagnosis and treatment through systems immunology by Robert E. W. Hancock, Andy An, Claudia C. dos Santos, Amy H. Y. Lee

“…Immune dysfunctions evident very early in sepsis drive the development of novel diagnostic gene expression signatures (e.g., cellular reprogramming) that could inform early therapy. …”
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