Enhanced Swine Behavior Detection with YOLOs and a Mixed Efficient Layer Aggregation Network in Real Time.

Effective livestock management has become essential owing to an aging workforce and the growth of large-scale farming operations in the agricultural industry. Conventional monitoring methods, primarily reliant on manual observation, are increasingly reaching their limits, necessitating the development of innovative automated solutions. This study developed a system, termed mixed-ELAN, for real-time sow and piglet behavior detection using an extended ELAN architecture with diverse kernel sizes.

Mediating Effect of Firefighters' Resilience and Public Service Motivation Regarding the Influence of Depression on Their Work Engagement During COVID-19.

In this study, we aimed to investigate the influence of resilience or public service motivation (PSM) on firefighters' work engagement during the coronavirus disease (COVID-19) pandemic. We conducted an online survey with 304 firefighters assigned to Gyeonggi-do between October 27 and 28, 2022, and collected their demographic information; work-related data; mood, anxiety and insomnia symptoms; and work-related attitudes. The leading causes of firefighters' stress were physical and mental health decline due to heavy workloads (46.

The association between insulin resistance and depressive symptoms - A national representative cross-sectional study.

Objective: Increasing evidence suggests a positive association between insulin resistance (IR) and depression. However, whether sex-or body mass index-specific differences exist remains controversial, and only few studies have analyzed specific symptom domains. Thus, the present study aimed to analyze the association between IR and depressive symptom domains and to clarify the effects of sex and body mass index.

Pandemic Grief Reaction and Intolerance of Uncertainty on the Cognitive-Behavioral Model of COVID-Related Hypochondriasis Among Firefighters.

Objective: This study aimed to explore the feasibility of cognitive-behavioral model hypochondriasis regarding coronavirus disease-2019 (COVID-19) among firefighters. In addition, we examined the possible role of their grief reaction and intolerance of uncertainty in the model of COVID-related hypochondriasis.

Methods: An anonymous online survey was done on October 27-28, 2022, among firefighters who witnessed people's death.

Feasibility and acceptability testing of CommSense: A novel communication technology to enhance health equity in clinician-patient interactions.

Background: Quality patient-clinician communication is paramount to achieving safe and compassionate healthcare, but evaluating communication performance during real clinical encounters is challenging. Technology offers novel opportunities to provide clinicians with actionable feedback to enhance their communication skills.

Methods: This pilot study evaluated the acceptability and feasibility of CommSense, a novel natural language processing (NLP) application designed to record and extract key metrics of communication performance and provide real-time feedback to clinicians.

Comparison of Pre-Trained YOLO Models on Steel Surface Defects Detector Based on Transfer Learning with GPU-Based Embedded Devices.

Steel is one of the most basic ingredients, which plays an important role in the machinery industry. However, the steel surface defects heavily affect its quality. The demand for surface defect detectors draws much attention from researchers all over the world.

Tailoring Compressive Strength and Absorption Energy of Lightweight Multi-Phase AlCuSiFeX (X = Cr, Mn, Zn, Sn) High-Entropy Alloys Processed via Powder Metallurgy.

The development of lightweight HEAs with high strength and low cost is an urgent requirement. In this study, equimolar AlCuSiFeX (X = Cr, Mn, Zn, Sn) lightweight HEAs were fabricated by advanced powder metallurgy. The mechanical alloying was performed for 45 h, and the powder compacts were densified at 650 °C.

Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals.

The emergence of an aging society is inevitable due to the continued increases in life expectancy and decreases in birth rate. These social changes require new smart healthcare services for use in daily life, and COVID-19 has also led to a contactless trend necessitating more non-face-to-face health services. Due to the improvements that have been achieved in healthcare technologies, an increasing number of studies have attempted to predict and analyze certain diseases in advance.

Toothbrush microbiomes feature a meeting ground for human oral and environmental microbiota.

Background: While indoor microbiomes impact our health and well-being, much remains unknown about taxonomic and functional transitions that occur in human-derived microbial communities once they are transferred away from human hosts. Toothbrushes are a model to investigate the potential response of oral-derived microbiota to conditions of the built environment. Here, we characterize metagenomes of toothbrushes from 34 subjects to define the toothbrush microbiome and resistome and possible influential factors.

A Novel Model on Reinforce K-Means Using Location Division Model and Outlier of Initial Value for Lowering Data Cost.

Today, semi-structured and unstructured data are mainly collected and analyzed for data analysis applicable to various systems. Such data have a dense distribution of space and usually contain outliers and noise data. There have been ongoing research studies on clustering algorithms to classify such data (outliers and noise data).

Exploratory Factor Analysis of the Adolescent Version of the General Behavior Inventory in Korean Youth.

Objectives: We examined the factor structure of the Adolescent version of the General Behavior Inventory (A-GBI) for Koreans.

Methods: We retrospectively reviewed the medical records of 220 adolescents (age, 12-18 years) who completed the A-GBI through the Department of Psychiatry at Asan Medical Center, Seoul, Korea, from October 2011 to December 2018. Caregivers of the study participants completed the Parent version of the GBI (P-GBI) 10-item Mania Scale.

Face Recognition at a Distance for a Stand-Alone Access Control System.

Although access control based on human face recognition has become popular in consumer applications, it still has several implementation issues before it can realize a stand-alone access control system. Owing to a lack of computational resources, lightweight and computationally efficient face recognition algorithms are required. The conventional access control systems require significant active cooperation from the users despite its non-aggressive nature.

Ulmus davidiana var. japonica Nakai upregulates eosinophils and suppresses Th1 and Th17 cells in the small intestine.

The bark of Ulmus davidiana var. japonica Nakai (Ulmaceae) has been used in traditional Korean medicine for chronic inflammation in the gastrointestinal tract. Here we investigated the frequency and cytokine profile of the major immune cells in the small intestinal lamina propria (SI LP), spleen, and mesenteric lymph nodes (MLNs) of mice treated orally with Ulmus davidiana var.

Musicians' medicine: musculoskeletal problems in string players.

There is increasing attention to medical problems of musicians. Many studies find a high prevalence of work-related musculoskeletal disorders in musicians, ranging from 73.4% to 87.

Visible cathodoluminescence of quantum dot films by direct irradiation of electron beam and its materialization as a field emission device.

The field emission (FE) device based on quantum dot (QD) films as a cathodoluminescent (CL) material has not emerged yet due to the relatively low quantum efficiency and weak photostability of nanocrystals (NCs). Here we improve film stability and luminescence yields by preparing neat films of well-packed core-multishell QDs using spray coating method and then using low-temperature atomic layer deposition (ALD) to infill the pores of these films with metal oxides to produce inorganic nanocomposites. The ALD coatings to protect oxidation and degradation by electrons prevent internal atomic and molecular diffusion and decrease surface trap densities of QD films.

Characterization of CCR9 expression and thymus-expressed chemokine responsiveness of the murine thymus, spleen and mesenteric lymph node.

CC chemokine receptor 9 (CCR9) is a receptor expressed at high levels in immature thymocytes, small intestine trafficking T cells and IgA-producing plasma cells. CCR9 mediates chemotaxis in response to thymus-expressed chemokine (TECK) selectively expressed in the thymus and small intestine. CCR9 expression in different subpopulations of thymus, spleen and mesenteric lymph node (MLN) cells was analyzed by flow cytometry and TECK responsiveness of those lymphoid cells was assessed by a Transwell migration assay.

Cho-kyung-jong-ok-tang, a traditional Korean herbal formula induces type 2 shift in murine natural killer cell cytokine production.

Ethnopharmacological Relevance: Cho-kyung-jong-ok-tang (CKJOT) is a traditional Korean herbal formula specifically used for female infertility including unexplained recurrent pregnancy loss (RPL).

Aim Of The Study: The present study aims to evaluate the effects of CKJOT on mouse natural killer (NK) cells to address the possible immunological basis of protective effects of this herbal medicine on unexplained RPL.

Materials And Methods: NK cells isolated from spleens of 6-week-old C57BL/6 mice were differentiated into NK0, NK1, and NK2 cells in the presence of various concentrations of CKJOT-extract.

Effects of bee venom on the maturation of murine dendritic cells stimulated by LPS.

Aim Of Study: This study was performed to elicit the effectiveness of bee venom (BV), a traditional immunosuppressive Korean acupuncture agent, on the maturation of dendrtic cells (DCs).

Materials And Methods: Immature dendritic cells (iDCs) were generated from mouse bone marrow cells with GM-CSF. After 10 days of initial differentiation, DCs were activated with lipopolysaccharides (LPS) for another 48h in the presence or absence of BV.