The purpose of this study was to analyze the effect real-time online Pilates exercise during COVID-19 on women’s body composition, blood lipids, and psychological health after childbirth. participants were 16 pregnant women (24–28 weeks pregnant) enrolled at C Women’s Culture Center in Seoul, South Korea, classified into groups non-exercise (PE, n = 8; CON, 8). program conducted for 8 weeks, twice a week, 50 min day using video chat app. Participants visited hospital composition tests....

Abstract The study aims to develop a deep learning based automatic segmentation approach using the UNETR(U-net Transformer) architecture quantify volume of individual thigh muscles(27 muscles in 5 groups) for Sarcopenia assessment. By automating process, this improves efficiency and accuracy muscle calculation, facilitating comprehensive understanding composition its relationship Sarcopenia. utilized dataset 72 whole CT scans from hip fracture patients, annotated by two radiologists. UNETR...

Objective: To compare the detection performance of automated whole breast ultrasound (AWUS) with that handheld (HHUS) and to evaluate interobserver variability in interpretation AWUS.Materials Methods: AWUS was performed 38 cancer patients.A total 66 lesions were included: cancers, 12 additional malignancies 16 benign lesions.Three radiologists independently reviewed data analyzed according BI-RADS classification.Results: The rate 98.0% for HHUS 90.0%, 88.0% 96.0% three readers AWUS.The...

Latissimus dorsi muscle flaps are widely utilized in breast reconstruction. Several methods have been introduced.

Abstract Introduction The Short Physical Performance Battery (SPPB) is a widely used tool for assessing physical function in older adults, including those who experienced hip fracture. Traditionally, medical professionals perform the SPPB manually, which time-consuming and prone to subjective interpretation. However, recent technological advancements have introduced smart insoles that can automatically capture analyze data related gait balance, potentially offering more objective efficient...

Background: Quantitative computed tomography (QCT) is essential for assessing osteoporosis and monitoring spinal deformities. “Clari-QCT,” a software that uses artificial intelligence to analyze conventional (CT) scans produce QCTequivalent reports. This study aims evaluate the effectiveness of Clari-QCT by comparing its results with traditional QCT, goal validating new diagnostic tools Methods: The analyzed dual energy X-ray absorptiometry, CT, QCT data from 18 patients at Inha University...

Abstract Atrial fibrillation (AF) is an arrhythmia that can cause blood clot and may lead to stroke heart failure. To detect AF, deep learning-based detection algorithms have recently been developed. However, learning models were often trained with limited datasets evaluated within the same datasets, which makes their performance generally drops on external known as data dependency. For this study, three different databases from PhysioNet used investigate dependency of AF algorithm using...

In our previous study, the LeNet3 model successfully classified images from transverse surfaces of five Korean softwood species (cedar, cypress, pine, red and larch). However, a practical limitation exists in system stemming nature training obtained plane wood species. real-world applications, it is necessary to utilize longitudinal lumber. Thus, we improved by with Because surface has complex but less distinguishable features than surface, classification performance decreases when include...

We propose a novel snake algorithm for object segmentation that can overcome the limitations found in cluttered backgrounds, overlapped placements, and problems of initial points. Our newly designed is developed by using disparity information taken from several sets stereo images. The experiment results have exhibited better performance over well-known terms accuracy. It also shown our proposed new be extended to tracking an visible boundary occlusion detection 3D space.

This paper examines the classification of five coniferous species, including larch (Larix kaempferi), red pine (Pinus densiflora), Korean koraiensis), cedar (Cryptomeria japonica), and cypress (Chamaecyparis obtusa), using near−infrared (NIR) spectra. Fifty lumber samples were collected for each species. After air−drying lumber, NIR spectra (wavelength = 780−2500 nm) acquired on wide face samples. Soft independent modeling class analogy (SIMCA) was performed to classify species their Three...

In our previous study, we investigated the use of ensemble models based on LeNet and MiniVGGNet to classify images transverse longitudinal surfaces five Korean softwoods (cedar, cypress, pine, red larch). It had accomplished an average F1 score more than 98%; classification performance surface image was still less that image. this methods two different convolutional neural network (LeNet3 for smartphone camera NIRNet NIR spectra) were applied lumber species classification. Experimentally,...

<title>Abstract</title> <bold>Introduction:</bold> The Short Physical Performance Battery (SPPB) is a widely used tool for assessing physical function in older adults, including those who experienced hip fracture. Traditionally, medical professionals perform the SPPB manually, which time-consuming and prone to subjective interpretation. However, recent technological advancements have introduced smart insoles that can automatically capture analyze data related gait balance, potentially...

Hip fractures are a common and debilitating condition, particularly among older adults. Loss of muscle mass strength is consequence hip fractures, which further contribute to functional decline increased disability. Assessing changes in individual thigh muscles volume follow-up patients can provide valuable insights into the quantitative recovery process guide rehabilitation interventions. However, accurately measuring anatomical be challenging due various, labor intensive time-consuming.

Introduction Grip strength serves as a significant marker for diagnosing and assessing sarcopenia, particularly in elderly populations. The study aims to explore the relationship between individual thigh muscle volumes grip strength, leveraging advanced AI-based UNETR segmentation techniques accurate volume assessment. Methods included 49 participants from cohort of 478 patients diagnosed with hip fractures at Gyeongsang National University Hospital. We recorded height utilized UNETR-based...

Background and Objectives: Hip fractures are commonly found in elderly patients, often result chronic pain decreased physical function, as well worsening of overall health. It is known that early surgical intervention during the acute phase rehabilitation important for improving clinical outcomes these patients. However, importance management quality life patients becoming more emphasized. Studies on changes sleep patterns after hip rare overseas. Therefore, aim this study to investigate...

In this study, five species of Korean domestic conifers, which are larch (Larix kaempferi), cedar (Cryptomeria japonica), pine (Pinus koraiensis), red densiflora) and cypress (Chamaecyparis obtusa) were classified using near-infrared spectroscopy.50 lumbers for each collected from several the National Forestry Cooperative Federation.Near-infrared absorbance spectra (wavelength range = 680 ~ 2500nm) acquired on wide face (radial or tangential face) sample located sound parts heartwood when...

현대 사회에서 성범죄율은 지속적으로 증가하고 있다. 특히 성범죄자의 경우 재범률이 높기 때문에 재발을 막기 위한 제도적 혹은 사회적 필요성이 점차 이를 위해 본 논문에서 범죄예방을 CCTV 영상 기반의 실시간 범죄자 안면 인식 시스템을 제안한다. 이는 인공지능 안면인식을 통해 성범죄 예방 및 재범 방지를 일련의 프로세스다. 하지만, 기술을 실질적으로 활용하기에는 문제점이 시스템은 영상에서 안면을 찾는 탐지 단계와 탐지된 안면과의 일치도를 계산하는 매칭 단계로 이루어지며 단일 작업에 비해 큰 연산 비용이 요구된다. 연구에서는 탐지할 때 벡터화 작업을 처리 시간의 소모를 줄여 작업 시에 비용을 줄이고, 이후 영상의 크기를 늘리는 AB-box 방식을 사용해 더 높은 정확도를 보인다.

본 연구는 심리기술훈련의 효과를 검증하기 위하여 과정단서카드를 활용하였다. 한국여자 프로골프선수 7명을 대상으로 24주동안 심리기술훈련이 진행되었으며, 그 알아보기 위해 스포츠수행전략(TOPS) 검사를 사용하였 다. 측정은 사전, 사후단계로 총 2회에 걸쳐 이루어졌다. 또한 측정 전 3개 대회와 후 대회의 평균 스코어를 비교분 석하여 경기력의 변화를 탐색하였으며, 인터뷰를 실시하여 연구 참여자들의 심층적인 인식을 알아보았다. 과정단서카드 심리기술훈련을 적용한 결과, 스포츠수행전략은 모든 요인에서 유의미한 차이를 보였다. 경기력 5명의 참여자는 타수가 줄어들어 경기력이 전반적으로 향상된 것으로 나타났다. 통해 양적 자료를 보완한 결과 시합 중 집중력, 부정적 생각 차단, 감정조절능력, 경기력에 긍정적인 영향을 미치는 연구를 과정단서카드의 현장성을 확장시키고, 골프 종목에서의 활용 가능성을 확인하였다.

Abstract Purpose: This study aimed to analyze pressure injury images and predict hazard rates using deep learning. It offers a fresh perspective in an underexplored area within research. Methods: included 958 patients, were obtained at the first visit. To use meaningful image features, pre-trained models employed during feature ex-traction phase. In survival prediction phase, these features used as inputs for two learning-based analysis (DeepSurv, PC-Hazard) statistics-based sur-vival...