Sensors, Vol. 24, Pages 2892: Are Gait Patterns during In-Lab Running Representative of Gait Patterns during Real-World Training? An Experimental Study
This study sought to test how well real-world gait patterns are represented by in-lab gait data in two cohorts of runners equipped with consumer-grade wearable sensors measuring speed, step length, vertical oscillation, stance time, and leg stiffness. Cohort 1 (N = 49) completed an in-lab treadmill run plus five real-world runs of self-selected distances on self-selected courses. Cohort 2 (N = 19) completed a 2.4 km outdoor run on a known course plus five real-world runs of self-selected distances on self-selected courses. The degree to which in-lab gait reflected real-world gait was quantified using univariate overlap and...
Source: Sensors - May 1, 2024 Category: Biotechnology Authors: John J. Davis Stacey A. Meardon Andrew W. Brown John S. Raglin Jaroslaw Harezlak Allison H. Gruber Tags: Article Source Type: research
The Triple Threat: The Quintessential Goal of Faculty Development
Faculty positions in oral and maxillofacial surgery are not highly sought-after professional opportunities, despite being amply available to clinicians completing their training. Of the 257 United States oral and maxillofacial surgery residency graduates in 2022, only 8 (3.1%) entered academic practice (Mary Allaire, personal communication, January 3, 2024). Factors dissuading talented surgeons from entering academic practice include financial pressures associated with significant educational debt, thereby leading many auspicious individuals to enter financially rewarding and exclusively private practice settings in our sp...
Source: Journal of Oral and Maxillofacial Surgery - May 1, 2024 Category: ENT & OMF Authors: Eric R. Carlson Tags: Perspectives Source Type: research
May 2024: AAOMS News and Announcements
AAOMS is offering at no cost to members online courses that target the 8 hours required by the Medication Access and Training Expansion (MATE) Act. The complimentary courses will be available until the end of 2025. More information on the MATE Act requirements and eligible webinars can be found at CEonline.AAOMS.org/MATEAct. (Source: Journal of Oral and Maxillofacial Surgery)
Source: Journal of Oral and Maxillofacial Surgery - May 1, 2024 Category: ENT & OMF Tags: News and announcements Source Type: research
Efficacy of a Single Day Extracorporeal Membrane Oxygenation Training Course for Critical Care Air Transport Team Eligible Personnel
CONCLUSIONS: An abbreviated 1-day lecture and hands-on task-trainer-based ECMO course resulted in a high rate of successful skill demonstration and improvement of physicians' and nurses' knowledge assessments and confidence levels, similar to our previous live-tissue training program. When compared to our previous studies, the addition of telemedicine and patient transportation to this study did not affect the duration or performance of procedures.PMID:38687647 | DOI:10.1093/milmed/usae138 (Source: Military Medicine)
Source: Military Medicine - April 30, 2024 Category: International Medicine & Public Health Authors: R Madelaine Paredes Brannon Inman William T Davis Maria Castaneda Allyson A Mireles Darren S Baldwin Dylan C Rodriguez Kimberly L Medellin Patrick C Ng Joseph K Maddry Source Type: research
Preparing Future Military Medical Officers to Conduct Emergency Fresh Whole Blood Transfusions in Austere Environments: A Novel Training Curriculum
CONCLUSIONS: Our results suggest that the implementation of streamlined EFWBT training into the undergraduate medical education of future military medical officers offers an efficient way to improve their baseline proficiency in EFWBTs. Future research is needed to assess the impact of this training on real-world applications in forward-deployed environments.PMID:38687599 | DOI:10.1093/milmed/usae162 (Source: Military Medicine)
Source: Military Medicine - April 30, 2024 Category: International Medicine & Public Health Authors: Kevin J Matthews Samuel Walther Zachery L Brown Joshua P Cuestas Jonathan T Shumaker Durwood W Moore Rebekah Cole Source Type: research
Impact of Rank, Provider Specialty, and Unit Sustainment Training Frequency on Military Critical Care Air Transport Team Readiness
CONCLUSION: Our main result is that simple readily available metrics available to unit commanders can identify those members at risk for poor performance at CCAT Advanced readiness training; these include RNs with rank Major or above, RTs with rank Senior Airman, and RTs who engage in unit sustainment training less often than monthly. Finally, MD specialties which are nontraditional for CCAT have significantly lower CCAT Advanced passing rates, reserve/guard students did not outperform active duty students, there was no difference in the performance between different RN specialties, and for MD and RN students' previous dep...
Source: Military Medicine - April 30, 2024 Category: International Medicine & Public Health Authors: Nicole Leib Mark Cheney Joshua N Burkhardt Eric Nelson Shannon Diffley Ann Salvator Tyler Davis F Eric Robinson Daniel J Brown Lane Frasier Valerie Sams Richard J Strilka Source Type: research
Biphasic Kinetics of IGF-I and IGFBP-3 in Response to Military Field Training in Brazilian Air Force Recruits
CONCLUSIONS: It can be concluded that IGF-I and IGFBP-3 levels respond quickly to the stimuli caused by military training, especially after specific field training. However, the same markers quickly return to their basal values after this type of training finishes, simply by following the daily routine of the battalion in the control weeks, with no specific intervention being necessary.PMID:38687564 | DOI:10.1093/milmed/usae097 (Source: Military Medicine)
Source: Military Medicine - April 30, 2024 Category: International Medicine & Public Health Authors: Thomaz Talarico Neto Jos é Maurício Magraner Higino Carlos Hahns J únior Leandro Ferreira Carlos Eduardo Martinelli J únior Hugo Tourinho Filho Source Type: research
Construction of Risk Prediction Model of Type 2 Diabetic Kidney Disease Based on Deep Learning
CONCLUSION: The developed DKD risk predictive model using LSTM neural networks demonstrated high accuracy and AUC value. When HbA1c, SBP, and PP variabilities were added to the model as featured characteristics, the model's performance was greatly improved.PMID:38685670 | DOI:10.4093/dmj.2023.0033 (Source: Diabetes and Metabolism Journal)
Source: Diabetes and Metabolism Journal - April 30, 2024 Category: Endocrinology Authors: Chuan Yun Fangli Tang Zhenxiu Gao Wenjun Wang Fang Bai Joshua D Miller Huanhuan Liu Yaujiunn Lee Qingqing Lou Source Type: research
FlexDTI: flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning
Phys Med Biol. 2024 Apr 30. doi: 10.1088/1361-6560/ad45a5. Online ahead of print.ABSTRACT
Most deep neural network-based diffusion tensor imaging methods require the diffusion gradients' number and directions in the data to be reconstructed to match those in the training data. This work aims to develop and evaluate a novel dynamic-convolution-based method called FlexDTI for highly efficient diffusion tensor reconstruction with flexible diffusion encoding gradient scheme.
Approach:
FlexDTI was developed to achieve high-quality DTI parametric mapping with flexible number and directions of diffusion en...
Source: Physics in Medicine and Biology - April 30, 2024 Category: Physics Authors: ZeJun Wu Jiechao Wang Zunquan Chen Qinqin Yang Zhen Xing Dairong Cao Jian-Feng Bao Taishan Kang Jianzhong Lin Shuhui Cai Zhong Chen Congbo Cai Source Type: research
Boosting treatment outcomes via the patient-practitioner relationship, treatment-beliefs or therapeutic setting. A systematic review with meta-analysis of contextual effects in chronic musculoskeletal pain
CONCLUSION: Whilst evidence gaps exist, per current evidence it may not be possible to achieve meaningful benefit for patients with chronic musculoskeletal pain by manipulating the context of non-pharmacological and non-surgical treatments. TRIAL REGISTRATION: This systematic review was prospectively registered in PROSPERO (registration number: CRD42023391601).PMID:38687160 | DOI:10.2519/jospt.2024.12259 (Source: Health Physics)
Source: Health Physics - April 30, 2024 Category: Physics Authors: Tobias Saueressig Patrick J Owen Hugo Pedder Nitin Kumar Arora Marieke Simons Svenja Kaczorowski Clint T Miller Lars Donath Daniel L Belavy Source Type: research
Automatic assessment of DWI-ASPECTS for acute ischemic stroke based on deep learning
CONCLUSIONS: This study proposed an automated model for ASPECTS scoring of patients with acute ischemic stroke based on DWI images. Experimental results show that the method of segmentation first and then classification is feasible. Our method has the potential to assist physicians in the Alberta Stroke Program with early CT scoring and clinical stroke diagnosis.PMID:38687043 | DOI:10.1002/mp.17101 (Source: Health Physics)
Source: Health Physics - April 30, 2024 Category: Physics Authors: Ting Fang Zhuoyun Jiang Yuxi Zhou Shouqiang Jia Jiaqi Zhao Shengdong Nie Source Type: research
Boosting treatment outcomes via the patient-practitioner relationship, treatment-beliefs or therapeutic setting. A systematic review with meta-analysis of contextual effects in chronic musculoskeletal pain
CONCLUSION: Whilst evidence gaps exist, per current evidence it may not be possible to achieve meaningful benefit for patients with chronic musculoskeletal pain by manipulating the context of non-pharmacological and non-surgical treatments. TRIAL REGISTRATION: This systematic review was prospectively registered in PROSPERO (registration number: CRD42023391601).PMID:38687160 | DOI:10.2519/jospt.2024.12259 (Source: Physical Therapy)
Source: Physical Therapy - April 30, 2024 Category: Physiotherapy Authors: Tobias Saueressig Patrick J Owen Hugo Pedder Nitin Kumar Arora Marieke Simons Svenja Kaczorowski Clint T Miller Lars Donath Daniel L Belavy Source Type: research
Specificity of early motor unit adaptations with resistive exercise training
J Physiol. 2024 Apr 30. doi: 10.1113/JP282560. Online ahead of print.ABSTRACTAfter exposure of the human body to resistive exercise, the force-generation capacity of the trained muscles increases significantly. Despite decades of research, the neural and muscular stimuli that initiate these changes in muscle force are not yet fully understood. The study of these adaptations is further complicated by the fact that the changes may be partly specific to the training task. For example, short-term strength training does not always influence the neural drive to muscles during the early phase (<100 ms) of force development in ...
Source: The Journal of Physiology - April 30, 2024 Category: Physiology Authors: Alessandro Del Vecchio Roger Maro Enoka Dario Farina Source Type: research
Daily Scale Air Quality Index Forecasting using Bidirectional Recurrent Neural Networks: Case Study of Delhi, India
Environ Pollut. 2024 Apr 27:124040. doi: 10.1016/j.envpol.2024.124040. Online ahead of print.ABSTRACTThis research was established to accurately forecast daily scale air quality index (AQI) which is an essential environmental index for decision-making. Researchers have projected different types of models and methodologies for AQI forecasting, such as statistical techniques, machine learning (ML), and most recently deep learning (DL) models. The modelling development was adopted for Delhi city, India which is a major city with air pollution issues simialir to entire urban cities of India especially during winter seasons. Th...
Source: Environmental Pollution - April 30, 2024 Category: Environmental Health Authors: Chaitanya Baliram Pande Nand Lal Kushwaha Omer A Alawi Saad Sh Sammen Lariyah Mohd Sidek Zaher Mundher Yaseen Subodh Chandra Pal Okan Mert Katipo ğlu Source Type: research
Inverse Design of Photonic Surfaces via High throughput Femtosecond Laser Processing and Tandem Neural Networks
Adv Sci (Weinh). 2024 Apr 29:e2401951. doi: 10.1002/advs.202401951. Online ahead of print.ABSTRACTThis work demonstrates a method to design photonic surfaces by combining femtosecond laser processing with the inverse design capabilities of tandem neural networks that directly link laser fabrication parameters to their resulting textured substrate optical properties. High throughput fabrication and characterization platforms are developed that generate a dataset comprising 35280 unique microtextured surfaces on stainless steel with corresponding measured spectral emissivities. The trained model utilizes the nonlinear one-to...
Source: Adv Data - April 30, 2024 Category: Epidemiology Authors: Minok Park Luka Grb čić Parham Motameni Spencer Song Alok Singh Dante Malagrino Mahmoud Elzouka Puya H Vahabi Alberto Todeschini Wibe Albert de Jong Ravi Prasher Vassilia Zorba Sean D Lubner Source Type: research
