Oxidative stress gene expression in ulcerative colitis: implications for colon cancer biomarker discovery by Ting Yan, Ting Su, Miaomiao Zhu, Qiyuan Qing, Binjie Huang, Jun Liu, Tenghui Ma

“…This analysis suggests that immune cells may collaborate with OXSRDEGs to impact the onset and progression of diseases. …”
Get full text

Impact of the number of dissected lymph nodes on machine learning-based prediction of postoperative lung cancer recurrence: a single-hospital retrospective cohort study by Kyoichi Okishio, Shinji Atagi, Kensuke Kojima, Hironobu Samejima, Toshiteru Tokunaga, Hyungeun Yoon

“…The risk of recurrence is minimised when approximately 10 nodes are dissected but may increase when >20 nodes are removed. Limiting lymph node dissection to approximately 20 nodes may help to preserve a favourable antitumour immune environment. …”
Get full text

Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning by Jianhui Chen, Qun Li, Xiaofang Liu, Fang Lin, Yaling Jing, Jiayan Yang, Lianfang Zhao

“…These findings may provide new mechanistic insights or therapeutic targets for further research of EMs and RPL.…”
Get full text

Spectral divergence prioritizes key classes, genes, and pathways shared between substance use disorders and cardiovascular disease by Everest Castaneda, Everest Castaneda, Elissa Chesler, Erich Baker

“…The graph clustering method simultaneously provides insight into the specific biological pathways underlying these distinctions and may reveal future basic and clinical research avenues into addressing the cardiovascular sequelae of SUD.…”
Get full text

Analysis and validation of necroptosis-related diagnostic biomarkers associated with immune infiltration in bronchopulmonary dysplasia by Haixia Tu, Changjiang Fang, Ping Gan, Yunyun Gu, Nana Peng, Honghua Jiang, Weiwei Hou, Guihua Shu

“…Correlation analysis showed that three hub genes may correlate with immune cells to varying degrees. …”
Get full text

Treatment of infections in young infants in low- and middle-income countries: a systematic review and meta-analysis of frontline health worker diagnosis and antibiotic access. by Anne C C Lee, Aruna Chandran, Hadley K Herbert, Naoko Kozuki, Perry Markell, Rashed Shah, Harry Campbell, Igor Rudan, Abdullah H Baqui

“…<h4>Conclusions</h4>Trained frontline health workers may screen for pBI in young infants with relatively high sensitivity and lower specificity. …”
Get full text

Opening closed doors: using machine learning to explore factors associated with marital sexual violence in a cross-sectional study from India by Anita Raj, Abhishek Singh, Nandita Bhan, Lotus McDougal, Nabamallika Dehingia, Julian McAuley

“…A neural network model identified variables that largely corresponded to these themes.Conclusions This analysis identified several themes that may be promising avenues to identify and support women experiencing MSV, and to mitigate these traumatic experiences. …”
Get full text

Strategy for Optimizing Vitamin B12 Production in <i>Pseudomonas putida</i> KT2440 Using Metabolic Modeling by Thomaz Satuye Prieto-de Lima, Keilor Rojas-Jimenez, Christopher Vaglio

“…<b>Conclusions</b>: We propose that, with the addition of aminopropanol linker genes and the modification of riboswitches, <i>P. putida</i> KT2440 may become a suitable host for the industrial production of vitamin B₁₂.…”
Get full text

Functional pelvic tilt frequently differs from the anterior pelvic plane in non-arthritic hip disorders: implications for 3D motion analysis by Mark R. J. Jenkinson, Calvin Cheung, Alastair G Dick, Johan Witt, Jonathan Hutt

“…Commercial 3D motion analysis may therefore give misleading results for both the extent and location of hip impingement as well as femoral head coverage, which may affect surgical decision-making. …”
Get full text

Exploring Transfer Learning for Anthropogenic Geomorphic Feature Extraction from Land Surface Parameters Using UNet by Aaron E. Maxwell, Sarah Farhadpour, Muhammad Ali

“…We suggest that pre-trained models developed using large, image-based datasets may be of value for anthropogenic geomorphic feature extraction from LSPs even given the data and task disparities. …”
Get full text

Dynamic Domain Sizes in Temporal Probabilistic Relational Models by Nils Finke, Tanya Braun, Marcel Gehrke, Ralf Möller

“…While for different points in time, information about objects may differ, the set of objects under consideration is the same for all time points in standard PDRMs. …”
Get full text

Observational Limitations to the Emergence of Climate Signals by Louis Rivoire, Marianna Linz, Jingyuan Li

“…In reality, observational knowledge suffers from data quality and availability issues, for instance data gaps, changes in instrumentation, issues due to gridding and retrieval algorithms. Overlooking such deficiencies leads to misrepresentations of the time of emergence (ToE). …”
Get full text

Beyond personas. Machine Learning to personalise the project by Niccolò Casiddu, Francesco Burlando, Isabella Nevoso, Claudia Porfirione, Annapaola Vacanti

“… The paper deals with some problems linked to Human-Centred Design (HCD) methods, namely Personas, that may mislead the designers to create distorted and stereotypical representations of users. …”
Get full text

Differential diagnosis of pericarditis. Part I: Anatomical and physiological characteristics of the pericardium, chest pain syndrome, and pericardial effusion by V. Yu. Myachikova, O. M. Moiseeva

“…Anatomical and physiological characteristics of the pericardium, mechanisms of effusion development and tamponade are described. Diagnostic algorithms for chest pain syndrome typical for pericarditis and asymptomatic effusion are provided. …”
Get full text

Commentaries on the updated American College of Rheumatology guidelines for the management of gout. Urate-lowering drugs (Part 1) by M. S. Eliseev

“…The emergence of updated American College of Rheumatology (ACR) guidelines for the management of gout may serve as a prerequisite for revising the draft Russian Federal Clinical Guidelines (FCGs). …”
Get full text

A hash-neighborhood-search-network-coding based opportunistic relay retransmission approach by Pengfei SHAO, Yanwei ZHAO, Zhaoxi FANG

“…In wireless multicast networks，it is rarely concerned that there may be certain receiving nodes which have better quality links both to the source node and to the other receiving nodes. …”
Get full text

Dependable identity recognition and authorization based on visual information by Chunlei PENG, Xinbo GAO, Nannan WANG, Jie LI

“…Recently,deep learning has been widely applied to video and image based identity recognition and authorization tasks,including face recognition and person identification.However,machine learning models,especially deep learning models,can be easily fooled by adversarial attacks,which may cause the identity recognition systems to make a wrong decision.Therefore,dependable identity recognition and authorization has become one of the hot topics currently.Recent advances on dependable identity recognition and authorization from both information space and physical space were presented,where the development of the attack models on face detection,face recognition,person re-identification,and face anti-spoofing as well as printable adversarial patches were introduced.The algorithms of visual identity anonymization and privacy protection were further discussed.Finally,the datasets,experimental protocols and performance of dependable identity recognition methods were summarized,and the possible directions in the future research were presented.…”
Get full text

Conceptualizing an AI-based Police Robot for Preventing Online Child Sexual Exploitation and Abuse: by Nina Sunde, Inger Marie Sunde

“…Given the advancements in machine learning algorithms, PrevBOT may provide predictions concerning age and gender behind online aliases engaged in sexualized speech with children and assist the police in identifying former CSEA offenders who resume the criminal activity online. …”
Get full text

Applying Extensions of Evidence Theory to Detect Frauds in Financial Infrastructures by Luigi Coppolino, Salvatore D'Antonio, Valerio Formicola, Luigi Romano

“…The Dempster-Shafer (DS) theory of evidence has significant weaknesses when dealing with conflicting information sources, as demonstrated by preeminent mathematicians. This problem may invalidate its effectiveness when it is used to implement decision-making tools that monitor a great number of parameters and metrics. …”
Get full text

Energy Consumption Optimization for an Electric Delivery Vehicle by Andrzej Łebkowski

“…This work presents the structure of the optimizer system and the developed control algorithms. Additionally, electric motor excitation control was used, which may have contributed to reducing the power and weight of the electric drive motor. …”
Get full text