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JOURNAL ARTICLE
Michael Christopher, Sarah Bowen, Katie Witkiewitz, Daniel Grupe, Richard Goerling, Matthew Hunsinger, Barry Oken, Tyrus Korecki, Nils Rosenbaum
BACKGROUND: Law enforcement officers (LEOs) are exposed to significant stressors that can impact their mental health, increasing risk of posttraumatic stress disorder, burnout, at-risk alcohol use, depression, and suicidality. Compromised LEO health can subsequently lead to aggression and excessive use of force. Mindfulness training is a promising approach for high-stress populations and has been shown to be effective in increasing resilience and improving mental health issues common among LEOs...
April 4, 2024: BMC complementary medicine and therapies
#22
JOURNAL ARTICLE
Nicolas Martelin, Brian De Witt, Benjamin Chen, Pascal Eschwège
PURPOSE: Prostate specific antigen (PSA) testing is a low-cost screening method for prostate cancer (PCa). However, its accuracy is limited. While progress is being made using medical imaging for PCa screening, PSA testing can still be improved as an easily accessible first step in the screening process. We aimed to develop and validate a new model by further personalizing the analysis of PSA with demographic, medical history, lifestyle parameters, and digital rectal examination (DRE) results...
April 4, 2024: Prostate
#23
JOURNAL ARTICLE
Lujia Wang, Hairong Wang, Fulvio D'Angelo, Lee Curtin, Christopher P Sereduk, Gustavo De Leon, Kyle W Singleton, Javier Urcuyo, Andrea Hawkins-Daarud, Pamela R Jackson, Chandan Krishna, Richard S Zimmerman, Devi P Patra, Bernard R Bendok, Kris A Smith, Peter Nakaji, Kliment Donev, Leslie C Baxter, Maciej M Mrugała, Michele Ceccarelli, Antonio Iavarone, Kristin R Swanson, Nhan L Tran, Leland S Hu, Jing Li
BACKGROUND AND OBJECTIVE: Glioblastoma (GBM) is one of the most aggressive and lethal human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for treatment. Biopsy is invasive, which motivates the development of non-invasive, MRI-based machine learning (ML) models to quantify intra-tumoral genetic heterogeneity for each patient. This capability holds great promise for enabling better therapeutic selection to improve patient outcome. METHODS: We proposed a novel Weakly Supervised Ordinal Support Vector Machine (WSO-SVM) to predict regional genetic alteration status within each GBM tumor using MRI...
2024: PloS One
#24
JOURNAL ARTICLE
Syed Wajid Aalam, Abdul Basit Ahanger, Tariq A Masoodi, Ajaz A Bhat, Ammira S Al-Shabeeb Akil, Meraj Alam Khan, Assif Assad, Muzafar A Macha, Muzafar Rasool Bhat
Esophageal cancer (EC) remains a significant health challenge globally, with increasing incidence and high mortality rates. Despite advances in treatment, there remains a need for improved diagnostic methods and understanding of disease progression. This study addresses the significant challenges in the automatic classification of EC, particularly in distinguishing its primary subtypes: adenocarcinoma and squamous cell carcinoma, using histopathology images. Traditional histopathological diagnosis, while being the gold standard, is subject to subjectivity and human error and imposes a substantial burden on pathologists...
2024: Frontiers in Molecular Biosciences
#25
JOURNAL ARTICLE
Yi Chen, Zirui Liu, Yaobin Wang, Hongwei Zhan, Jinmin Liu, Yongkang Niu, Ao Yang, Fei Teng, Jinfeng Li, Bin Geng, Yayi Xia
BACKGROUND: Ewing sarcoma remains the second most prevalent primary aggressive bone tumor in teens and young adults. The aim of our study was to develop and validate a web-based nomogram to predict the overall survival for Ewing sarcoma in children. METHODS: A total of 698 patients, with 640 cases from the Surveillance, Epidemiology, and End Results (the training set) and 58 cases (the external validation set), were included in this study. Cox analyses were carried out to determine the independent prognostic indicators, which were further included to establish a web-based nomogram...
April 2024: Journal of Children's Orthopaedics
#26
JOURNAL ARTICLE
Haifeng He, Yongzhi Xie, Fulong Song, Zhichao Feng, Pengfei Rong
PURPOSE: Multiple lipid metabolism pathways alterations are associated with clear cell renal cell carcinoma (ccRCC) development and aggressiveness. In this study, we aim to develop a novel radiogenomics signature based on lipid metabolism-related genes (LMRGs) that may accurately predict ccRCC patients' survival. MATERIALS AND METHODS: First, 327 ccRCC were used to screen survival-related LMRGs and construct a gene signature based on The Cancer Genome Atlas (TCGA) database...
March 16, 2024: European Journal of Radiology
#27
JOURNAL ARTICLE
Mengdi Wan, Wei Zhang, He Huang, Xiaojie Fang, Yungchang Chen, Ying Tian, Yuyi Yao, Huawei Weng, Zegeng Chen, Le Yu, Yuke Tian, Huageng Huang, Xudong Li, Huangming Hong, Tongyu Lin
Advanced diffuse large B cell lymphoma (DLBCL) is a common malignant tumor with aggressive clinical features and poor prognosis. At present, there is lack of effective prognostic tool for patients with advanced (stage III/IV) DLBCL. The aim of this study is to identify prognostic indicators that affect survival and response and establish the first survival prediction nomogram for advanced DLBCL. A total of 402 patients with advanced DLBCL were enrolled in this study. COX multivariate analysis was used to obtain independent prognostic factors...
March 30, 2024: Clinical and Experimental Medicine
#28
JOURNAL ARTICLE
Chelsea A Lahey, Emily J Fawcett, Noah Pevie, Rowan B Seim, Jonathan M Fawcett
OBJECTIVES: We conducted a curriculum review of Canadian undergraduate medical programs to identify why aggressive obsessions (among those with obsessive-compulsive disorder [OCD]) are so often misidentified by primary care physicians and professional students. METHODS: This study involved standardized interviews with representatives from Canadian medical schools regarding the content, time, and teaching styles used to deliver curricula related to OCD. Further, we utilized a set of standardized criteria to assess the OCD content of recommended textbooks from these schools...
2024: Journal of Medical Education and Curricular Development
#29
JOURNAL ARTICLE
Hao Chi, Gaoge Peng, Guobin Song, Jinhao Zhang, Xixi Xie, Jinyan Yang, Jiayu Xu, Jieying Zhang, Ke Xu, Qibiao Wu, Guanhu Yang
BACKGROUND: The study on Head and Neck Squamous Cell Carcinoma (HNSCC), a prevalent and aggressive form of head and neck cancer, focuses on the often-overlooked role of soluble mediators. The objective is to leverage a transcriptome-based risk analysis utilizing soluble mediator-related genes (SMRGs) to provide novel insights into prognosis and immunotherapy efficacy in HNSCC patients. METHODS: We analyzed the expression and prognostic significance of 10,859 SMRGs using 502 HNSCC and 44 normal samples from the TCGA-HNSC cohort in The Cancer Genome Atlas (TCGA)...
March 22, 2024: Frontiers in Bioscience (Landmark Edition)
#30
JOURNAL ARTICLE
Sandy Feng, Garrett R Roll, Foad J Rouhani, Alberto Sanchez Fueyo
Over the last 50 years, liver transplantation has evolved into a procedure routinely performed in many countries worldwide. Those able to access this therapy frequently experience a miraculous risk-benefit ratio since, particularly if they face imminently life threatening disease. Over the decades, the success of liver transplantation, with dramatic improvements in early post-transplant survival, has aggressively driven demand. However, in spite of the emergence of living donors to augment deceased donors as a source of organs, supply has lagged far behind demand...
March 27, 2024: Hepatology: Official Journal of the American Association for the Study of Liver Diseases
#31
JOURNAL ARTICLE
Rasha Eweida, Nashwa Ibrahim
WHAT IS KNOWN ABOUT THE SUBJECT?: Nurses' perspectives and consensus on the possible key factors contributing to aggression at inpatient units can be summarized into patients' related factors, staff related factors and environment related factors. Results of the possible factors contributing to aggression at inpatient units reflect the complicated nature of this problem. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE: Perspectives of nurses as frontline mental health professionals on factors contributing to aggression as one of the psychiatric emergencies were considered through an iterative process...
March 26, 2024: Journal of Psychiatric and Mental Health Nursing
#32
JOURNAL ARTICLE
Leo Sher, Linda M Bierer, Janine Flory, Iouri Makotkine, Rachel Yehuda
OBJECTIVE: Many combat veterans exhibit suicidal ideation and behavior, but the relationships among experiences occurring during combat deployment and suicidality are still not fully understood. In this study, we tested the hypothesis that harassment during a combat deployment is associated with post-deployment suicidality and testosterone function. METHODS: Male combat veterans who made post-deployment suicide attempts and demographically matched veterans without a history of suicide attempts were enrolled in the study...
March 26, 2024: Acta Neuropsychiatrica
#33
JOURNAL ARTICLE
Lígia Passos, João Tavares, Melissa Batchelor, Daniela Figueiredo
The decrease in cognitive and physical ability among people with dementia can significantly affect eating performance, resulting in mealtime support needs that could lead to inadequate oral intake, weight loss, malnutrition, and reduced functionality in activities of daily living. This scoping review aimed to identify and summarize available research literature on mealtime interventions for people with dementia, and their impact on older people with dementia living in a residential care setting, care staff, and care context/environment...
2024: PloS One
#34
JOURNAL ARTICLE
Omir Aldowah, Abdullah Almakrami, Yazeed Alghuwaynim, Mohammed Alhutaylah, Ali Almansour, Ali Alswedan, Falah Alshahrani, Saad Alqarni, Yahia Alkasi
OBJECTIVE: This study aims to assess the perceptions and knowledge of undergraduate dental students about artificial intelligence (AI) in dental schools through a cross-sectional study. MATERIALS AND METHODS: This was a multicenter, cross-sectional study. Participant recruitment was achieved by sending an online questionnaire to the undergraduate students at the assigned universities. The questionnaire consisted of two parts. The first seven questions record general information about participants and their perceptions of AI...
February 1, 2024: Journal of Contemporary Dental Practice
#35
JOURNAL ARTICLE
Parisa Gifani, Ahmad Shalbaf
BACKGROUND: The Gleason grading system has been the most effective prediction for prostate cancer patients. This grading system provides this possibility to assess prostate cancer's aggressiveness and then constitutes an important factor for stratification and therapeutic decisions. However, determining Gleason grade requires highly-trained pathologists and is time-consuming and tedious, and suffers from inter-pathologist variability. To remedy these limitations, this paper introduces an automatic methodology based on transfer learning with pretrained convolutional neural networks (CNNs) for automatic Gleason grading of prostate cancer tissue microarray (TMA)...
2024: Journal of Medical Signals and Sensors
#36
JOURNAL ARTICLE
Dawit Getachew Yenealem, Avier Mesfin Mengistu
PURPOSE: Violence is recognized as an extreme expression of aggressive behavior and physical violence is most recognized type among victims. Patients always come to the hospitals looking for a cure, remedy, or assurance; however, incompatibility of demand and service often results in violent incidents that become statuesque in health facilities. This study aims to investigate physical violence and associated factors among nurses in health facilities in Gondar town, Ethiopia. METHOD: The study was an institutional-based cross-sectional study among nurses in Gondar town from April to May 2017...
March 30, 2024: Heliyon
#37
JOURNAL ARTICLE
Zhengye Pan, Lushuai Liu, Xingman Li, Yunchao Ma
The jump smash is badminton's most aggressive technical manoeuvre, which is often the key to winning a match. This paper aims to explore the neuromuscular control strategies of advanced and beginner players when jumping smash in different ways. Collecting sEMG and kinematic data from 18 subjects with different motor experiences when jumping smash. Nonnegative Matrix Factorization and K-Means clustering were used to extract muscle synergies and exclude irrelevant combined synergies. Uncontrolled manifold analysis was then used to explore the association between synergies and shoulder stability...
March 19, 2024: Human Movement Science
#38
JOURNAL ARTICLE
Miriam Angeloni, Thomas van Doeveren, Sebastian Lindner, Patrick Volland, Jorina Schmelmer, Sebastian Foersch, Christian Matek, Robert Stoehr, Carol I Geppert, Hendrik Heers, Sven Wach, Helge Taubert, Danijel Sikic, Bernd Wullich, Geert Jlh van Leenders, Vasily Zaburdaev, Markus Eckstein, Arndt Hartmann, Joost L Boormans, Fulvia Ferrazzi, Veronika Bahlinger
Upper tract urothelial carcinoma (UTUC) is a rare and aggressive, yet understudied, urothelial carcinoma (UC). The more frequent UC of the bladder comprises several molecular subtypes, associated with different targeted therapies and overlapping with protein-based subtypes. However, if and how these findings extend to UTUC remains unclear. Artificial intelligence-based approaches could help elucidate UTUC's biology and extend access to targeted treatments to a wider patient audience. Here, UTUC protein-based subtypes were identified, and a deep-learning (DL) workflow was developed to predict them directly from routine histopathological H&E slides...
March 2024: Journal of Pathology. Clinical Research
#39
JOURNAL ARTICLE
Julia Friederike Hammett, Kelly Cue Davis
Understanding the mechanisms underlying the association between lower socioeconomic status (SES) and Intimate Partner Aggression (IPA) is necessary for decreasing risk for IPA among lower-SES individuals. As limited control over one's external environment impacts individuals' ability to internally control their emotional states, the present study examined impulsivity and anger as serial mediators in the association from SES to IPA perpetration. Structural equation modeling analyses ( N = 430 men, M age = 24...
November 2023: Current Psychology
#40
JOURNAL ARTICLE
Thibaut Couchoux, Tristan Jaouen, Christelle Melodelima-Gonindard, Pierre Baseilhac, Arthur Branchu, Nicolas Arfi, Richard Aziza, Nicolas Barry Delongchamps, Franck Bladou, Flavie Bratan, Serge Brunelle, Pierre Colin, Jean-Michel Correas, François Cornud, Jean-Luc Descotes, Pascal Eschwege, Gaelle Fiard, Bénédicte Guillaume, Rémi Grange, Nicolas Grenier, Hervé Lang, Frédéric Lefèvre, Bernard Malavaud, Clément Marcelin, Paul C Moldovan, Nicolas Mottet, Pierre Mozer, Eric Potiron, Daniel Portalez, Philippe Puech, Raphaele Renard-Penna, Matthieu Roumiguié, Catherine Roy, Marc-Olivier Timsit, Thibault Tricard, Arnauld Villers, Jochen Walz, Sabine Debeer, Adeline Mansuy, Florence Mège-Lechevallier, Myriam Decaussin-Petrucci, Lionel Badet, Marc Colombel, Alain Ruffion, Sébastien Crouzet, Muriel Rabilloud, Rémi Souchon, Olivier Rouvière
BACKGROUND AND OBJECTIVE: Prostate multiparametric magnetic resonance imaging (MRI) shows high sensitivity for International Society of Urological Pathology grade group (GG) ≥2 cancers. Many artificial intelligence algorithms have shown promising results in diagnosing clinically significant prostate cancer on MRI. To assess a region-of-interest-based machine-learning algorithm aimed at characterising GG ≥2 prostate cancer on multiparametric MRI. METHODS: The lesions targeted at biopsy in the MRI-FIRST dataset were retrospectively delineated and assessed using a previously developed algorithm...
March 15, 2024: European Urology Oncology
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