Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidemiology and Clinical Characteristics of Older Patients Transferred from Long-Term-Care Hospitals (LTCHs) to Emergency Departments by a Comparison with Non-LTCHs in South Korea: A Cross-Sectional Observational Study

The South Korean population is rapidly aging, and the number of older patients in long-term-care hospitals (LTCHs) continues to increase. This study aims to investigate the epidemiologic data, characteristics, and clinical outcomes of patients aged 65 years and older transferred from LTCHs to emergency departments (EDs). This is a retrospective study based on National Emergency Department Information System data from 2014 to 2019. Of the 6,209,695 older patients visiting EDs for disease treatment, 211,141 (3.4%) were transferred from LTCHs. Among patients from LTCHs (211,141), 24.2% were discharged from EDs, 43.0% were admitted to general wards, 20.7% were hospitalized in intensive care units, 3.1% were transferred to another hospital, 6.1% returned to LTCHs, and 2.1% died in EDs. ED stays were the longest for those returning to LTCHs (710.49 ± 1127.43 min). Foley catheterization (40.3%) was most frequently performed in preventable ED visits. In South Korea, older patients being discharged from the ED or returning to LTCHs, after being transferred from LTCHs to EDs, increased. ED stays among older LTCH patients were longer than among non-LTCH older patients, contributing to congestion. To reduce avoidable transfer to EDs from LTCHs, it is necessary to discuss policies, such as expanding appropriate medical personnel and transitional treatment.
High Expression of DEPDC1B Predicts Poor Prognosis in Lung Adenocarcinoma

Introduction Lung adenocarcinoma (LUAD) is the most common type of lung cancer. DEP domain-containing 1 B (DEPDC1B) is involved in the development of several cancers; however, its role in LUAD is unknown. Therefore, we aimed to determine the biological function and prognostic value of DEPDC1B in LUAD. Material and Methods We analyzed the correlation between DEPDC1B expression and the clinical features of LUAD and lung squamous cell carcinoma (LUSC). Survival was evaluated by generating Kaplan–Meier curves, which were used to analyze the relationship between DEPDC1B expression and prognosis in LUAD and LUSC. DEPDC1B expression in tumor and normal tissues from patients with LUAD and LUSC was determined using immunohistochemistry, and its clinical significance was analyzed. Finally, the correlation between the expression and biological function of DEPDC1B in LUAD was examined. Results Our findings revealed that DEPDC1B expression was higher in tumor tissues than that in normal tissues from patients with LUAD and LUSC (P < 0.001). These results were confirmed in clinical samples from patients using immunohistochemistry. Analysis of a dataset from The Cancer Genome Atlas (TCGA) showed that high DEPDC1B expression was associated with poor prognosis only in patients with LUAD (P < 0.001). Similarly, high DEPDC1B expression was related to shorter overall survival (OS) and progression-free interval (PFI) in patients with LUAD. These associations were not observed in LUSC. Functional enrichment analysis suggested that DEPDC1B promoted tumor development in LUAD by regulating the cell cycle. Conclusion High DEPDC1B expression predicts poor prognosis in patients with LUAD. Thus, DEPDC1B has potential as a therapeutic target for LUAD.
Experimental Setup for Fatigue Testing of Additively Manufactured Specimens

Poor fatigue life is a huge issue of additively manufactured parts, despite the unique qualities characterizing this manufacturing process (such as low waste of material and geometry freedom). Fatigue life is strongly affected by both surface defects and internal defects, metal AM is characterized by extremely poor surface quality, internal porosities and lack of fusions. For this reason, many researchers investigated methods to improve manufacts quality. The most promising methods are surface finishing treatments and thermal treatments which provide an enhancement of fatigue behavior. A focal point of the research should be evaluating the respective contribution of surface treatments and thermal treatments. In order to evaluate the effectiveness of surface treatment, it is necessary to highlight the surface quality contribution in terms of fatigue life thus a specific testing method is necessary. Rotating beam fatigue test fits this requirement because each point of the specimen’s surface is subjected to the maximum stress. The aim of this work is to present the experimental setup for rotating beam fatigue testing that has been used to evaluate the fatigue behavior of AM SLM IN718 specimens.
Batrachospermum latericium sp. nov. (Batrachospermales, Rhodophyta) from Tasmania, Australia, with new observations on B. atrum and a discussion of their relationships

Batrachospermum latericium sp. nov. occurs in humic streams in the Southwest National Park in Tasmania and is thus far collected from New Harbour to the Old River catchment. Like B. diatyches Entwisle. also a Tasmanian endemic, the thallus of the new species has brick-like rhizoidal filament cells and a large apical cell. The primary fascicles, however, are more like those of B. puiggarianum Grunow from South America and Africa. New character states, including the sporadic occurrence of spermatangia on invoiucral bracts and ‘shortly indeterminate’ gonimoblast filaments, are reported for the widespread B. atrum (Hudson) Harvey. There is no support for the recognition in Australia or New Zealand of the recently described B. androinvolucruin Sheath et cd. characterized by the production of spermatangia exclusively on invoiucral filaments. In an exemplar cladistic analysis based on morphological characters, taxa included currently in the section Setacea formed a monophyletic clade and within this, the two Australian endemics were sister taxa. Brick-like rhizoidal filament cells, a large thallus apical cell and shortly indeterminate gonimoblast filaments are derived character states within Batrachospermales. study distribution of gonimoblast filaments in the Batrachospermales.
A Novel Method for Fault Diagnosis of Bearings with Small and Imbalanced Data Based on Generative Adversarial Networks

The data-driven intelligent fault diagnosis method of rolling bearings has strict requirements regarding the number and balance of fault samples. However, in practical engineering application scenarios, mechanical equipment is usually in a normal state, and small and imbalanced (S & I) fault samples are common, which seriously reduces the accuracy and stability of the fault diagnosis model. To solve this problem, an auxiliary classifier generative adversarial network with spectral normalization (ACGAN-SN) is proposed in this paper. First, a generation module based on a deconvolution layer is built to generate false data from Gaussian noise. Second, to enhance the training stability of the model, the data label information is used to make label constraints on the generated fake data under the basic GAN framework. Spectral normalization constraints are imposed on the output of each layer of the neural network of the discriminator to realize the Lipschitz continuity condition so as to avoid vanishing or exploding gradients. Finally, based on the generated data and the original S & I dataset, seven kinds of bearing fault datasets are made, and the prediction results of the Bi-directional Long Short-Term Memory (BiLSTM) model is verified. The results show that the data generated by ACGAN-SN can significantly promote the performance of the fault diagnosis model under the S & I fault samples.
Pre-service teachers’ mathematical concepts in indigenous languages: Challenges encountered in multilingual classrooms, Rundu urban, Namibia

Teaching mathematics in primary schools using indigenous languages as the language of instruction may present a professional challenge for teachers in several ways. Whereas most studies focused on teachers’ use of indigenous language in mathematics classrooms, there seems to be little done on the challenges experienced by pre-service teachers while teaching mathematics in indigenous languages. This study, thus, explored the challenges experienced by pre-service teachers teaching mathematics in indigenous languages at the primary school phase in Namibian multilingual classrooms. The study used a total population sampling technique and involved 90 pre-service teachers at the Rundu campus of the University of Namibia who voluntarily completed the questionnaires. The results showed that pre-service teachers faced difficulties with some concepts that were rather literally translated from English to vernacular. Thus, the translation led to ambiguous meanings. Another challenge was that some of the learners had problems in understanding the concepts in the language of instruction as they had a different mother tongue, for example the Chokwe and Nyemba speaking learners in classes where the medium of instruction is Rukwangali.
Unmet Healthcare Needs among College Students during the COVID-19 Pandemic: Implications for System-Wide and Structural Changes for Service Delivery

Background: During the COVID-19 pandemic, college students faced health disparities in addition to a negative burden on academic performance; however, little is reported in the literature regarding healthcare utilization. Methods: A cross-sectional survey was conducted among consenting college student participants aged 18 or older from a Hispanic-serving institution. Descriptive and bivariate statistics were used to analyze demographic characteristics and the types of healthcare services needed by such characteristics. Logistic regression was used to adjust for noted sex differences in associations between reporting limited healthcare services and types of healthcare services. Results: The study population of 223 participants was mostly Hispanic/Latino (65%) and female (73%). Of the population, 11% reported they could not obtain needed healthcare services, with time being reported as the most common reason. Significant associations were found between seeking general healthcare services/routine screening, seeking mental health services, and seeking sexual health services with reporting limited healthcare services, with sex-adjusted odds ratios and 95% confidence intervals of 1.90 (95% CI: 1.08, 3.36), 3.21 (95% CI: 1.44, 4.15), and 2.58 (95% CI: 1.05, 6.35), respectively. Conclusions: Availability and inability to obtain health services may exacerbate college student health disparities. Targeted interventions are needed in the population to mitigate the potential burdens of unmet healthcare needs, particularly among minority college students.
Network Pharmacology and Molecular Docking Elucidate the Underlying Pharmacological Mechanisms of the Herb Houttuynia cordata in Treating Pneumonia Caused by SARS-CoV-2

Used in Asian countries, including China, Japan, and Thailand, Houttuynia cordata Thumb (H. cordata; Saururaceae, HC) is a traditional herbal medicine that possesses favorable antiviral properties. As a potent folk therapy used to treat pulmonary infections, further research is required to fully elucidate the mechanisms of its pharmacological activities and explore its therapeutic potential for treating pneumonia caused by SARS-CoV-2. This study explores the pharmacological mechanism of HC on pneumonia using a network pharmacological approach combined with reprocessing expression profiling by high-throughput sequencing to demonstrate the therapeutic mechanisms of HC for treating pneumonia at a systemic level. The integration of these analyses suggested that target factors are involved in four signaling pathways, including PI3K-Akt, Jak-STAT, MAPK, and NF-kB. Molecular docking and molecular dynamics simulation were applied to verify these results, indicating a stable combination between four metabolites (Afzelin, Apigenin, Kaempferol, Quercetin) and six targets (DPP4, ELANE, HSP90AA1, IL6, MAPK1, SERPINE1). These natural metabolites have also been reported to bind with ACE2 and 3CLpro of SARS-CoV-2, respectively. The data suggest that HC exerts collective therapeutic effects against pneumonia caused by SARS-CoV-2 and provides a theoretical basis for further study of the active drug-like ingredients and mechanism of HC in treating pneumonia.
Work-Hardening Behavior of a ZX10 Magnesium Alloy Sheet under Monotonic and Reverse Loadings

Magnesium (Mg) alloy sheets are expected to be used as light-weight materials for structural components because of their low density and high specific strength. However, their press formability at room temperature is poor due to the strong crystal anisotropy of the hexagonal structure and the strong basal texture especially observed in AZ series rolled Mg alloy sheets. Recently, ZX series Mg alloy sheets have been developed that weaken the basal texture, thus improving press formability at room temperature. Although the plastic deformation behavior of ZX series Mg alloy sheets should be different notably from that of AZ series Mg alloy sheets, it is not substantially understood yet. In the present study, the work-hardening behavior of a rolled Mg-1.5mass%Zn-0.1mass%Ca (ZX10Mg) alloy sheet under monotonic and reverse loadings was investigated in detail experimentally. The microstructures of prestrained samples were also measured by means of EBSD measurements. Under monotonic tension, the stress in the rolling direction is higher than that in the transverse direction. A plateau region appears only in the transverse direction. Under monotonic compression, plateau regions appear in both the rolling and transverse directions. The in-plane anisotropy is less pronounced than that under tension. Under reverse loading from compression to tension, a sigmoidal curve appears during tension regardless of the loading direction. The sigmoidal trend depends strongly on the loading direction. The mechanisms that induce the abovementioned anisotropic deformation are discussed in terms of the difference in twinning and detwinning activities.
Forecasting Rice Status for a Food Crisis Early Warning System Based on Satellite Imagery and Cellular Automata in Malang, Indonesia

The increasing population in Indonesia is challenging rice production to feed more people while rice fields are being converted to other land-use land cover (LULC). This study analyzes land use in 2015, 2017, 2019, 2021, and 2025 using an artificial neural network cellular automata (ANN-CA) and rice data from Statistics Indonesia to predict future rice status in Malang Districts, Indonesia. The primary LULC change driver was the rapid conversion of rice fields, which had their area reduced by 18% from 2019 to 2021 and 2% from 2021 to 2025. Rice fields are mainly being converted to settlements and buildings. The Kappa coefficient of simulation achieved 88%, with 91 accuracies. The model predicted a 2% lower rate of rice production but a 3% higher demand in 2025 compared to 2021. Lower rice production and higher demand are predicted to reduce the rice surplus by 57% in 2025, suggesting that the Malang district might lower its supply of rice to other areas by 2025. Our study provides a food crisis early warning system that decision makers can use to form adequate strategic plans and solutions to combat food insecurity.
Use mix of Chitosan-Graphene oxide nanoparticle to reduce lead from aqueous solution

The current study aims to evaluate the adsorption of lead element in aqueous solution by using a nano-material consisting of a mixture of reduced graphene oxide and nano-chitosan, which was prepared in a 1:1 ratio. And an X-ray diffraction device for studying the crystal structure of nanomaterials. The results showed that the percentage of element removal increases with increasing concentration of the nanomaterial and under constant conditions of temperature and pH, and the percentage of removal was studied in three time replicates (24,48,96 hours).
Power in the bucket and angle of arrival modelling in the presence of an airborne platform-induced turbulence

In the framework of a European collaborative research project called ALWS (Airborne platform effects on lasers and Warning Sensors), the effects of platform-related turbulence on MAWS (missile approach warning systems) and DIRCM (directed infrared countermeasures) performance are investigated. Field trials have been conducted to study the turbulence effects around a hovering helicopter and behind a turboprop aircraft on the ground, with engines running. The time dependence of the power in the bucket and the amplitude of the angle of arrival have been characterized during the trial. Temporal spectra of these two parameters present an asymptotic behavior typical of optical beams propagating through developed turbulence (Kolmogorov). Based on the formalism developed in the case of propagation through atmospheric turbulence, we have first estimated turbulence strength and wind velocity inside plume for different flight conditions. We have then proposed an approach to simulate times series of these two quantities in the same conditions. These simulated time series have been compared with the recorded data to assess their validity domain. This model will be integrated in a simulator to estimate the impact of the turbulence induced by the platform and calculate the system performance. In this model dedicated to plume and downwash effects, aero-optical effects are not taken into account.
High-Intensity Resistance Exercise and Schinus terenbinthifolius Supplementation Attenuate Oxidative Stress and Muscle Damage Biomarkers

stress and muscle damage SUMMARY: High-intensity physical exercises can cause oxidative stress and muscle damage. Several medicinal plants have been used as antioxidant and anti-inflammatory agents. The present study evaluated high-intensity resistance exercise (HIRE) associated with Schinus Terebentifholius ethanolic extract (EE) on oxidative parameters and muscle damage in Wistar rats. Animals were divided into 04 groups (n=10/group): 1. Control (CG) - animals that did not undergo HIRE and were treated with vehicle (distilled water, orally); 2. Acute exercise (AE) – animals submitted to acute exercise session; 3. Exercise + vehicle (EV) - animals that underwent HIRE and were treated with vehicle and 4. Exercise + extract (EX) animals administered with Schinus terebenthifolius EE (100mg/Kg, orally) and submitted to the exercise session. Schinus terebenthifolius EE showed high in vitro antioxidant activity (13.88 – 0.36 mg/mL). Before the experimental period, lactate was measured at pre and post moments of AE (p<0.0001) and EX (p<0.0001) groups. After the acute session, the following were evaluated: oxidative stress {malondialdehyde (MDA), sulfhydryl groups (SH) and ferric reducing antioxidant power (FRAP)}, muscle damage (creatine kinase (CK) and lactate dehydrogenase (LDH)), alanine aminotransferase (ALT) and aspartate aminotransferase (AST). In the in vivo analyses of the EX group compared to AE and EV groups, respectively: hepatic (MDA: p<0.0001 and SH: p=0.0033, in both; FRAP: p=0.0011 and p=0.0047), muscle (MDA, SH and FRAP: p<0.0001, in both; CK: p=0.0001 and p<0.0001; LDH: p<0.0001, in both), serum levels (MDA: p=0.0003, p=0.0012, SH: p=0.0056, p=0.0200, FRAP: p=0.0017 and p=0.0165) were significant. There was no significant difference in ALT and AST markers. It could be concluded that Schinus terebenthifolius EE associated with HIRE attenuated oxidative stress and muscle damage in rats.
Potential of Gold Nanoparticles in Current Radiotherapy Using a Co-Culture Model of Cancer Cells and Cancer Associated Fibroblasts Cells

Simple Summary Many cancer therapeutics do not account for the complexity of the tumor microenvironment (TME), which may result in failure when applied clinically. In this paper we utilized a simple tumor model made of two types of pancreatic cancer cells that contribute to the tumor environment, i.e., cancer cells and cancer associated fibroblasts. Herein, radiotherapy along with radiosensitizing gold nanoparticles were used to test the efficacy of a co-culture vs. monoculture model. The results show that the co-culture model exhibited heightened resistance to radiation. Furthermore, we found that the combination of gold radiosensitizers with radiotherapy reduced the radioresistance of the co-culture model compared to radiotherapy alone. This study demonstrates the potential of using nanotherapeutics in targeting the complex tumor microenvironment. Abstract Many cancer therapeutics are tested in vitro using only tumour cells. However, the tumour promoting effect of cancer associated fibroblasts (CAFs) within the tumour microenvironment (TME) is thought to reduce cancer therapeutics’ efficacy. We have chosen pancreatic ductal adenocarcinoma (PDAC) as our tumor model. Our goal is to create a co-culture of CAFs and tumour cells to model the interaction between cancer and stromal cells in the TME and allow for better testing of therapeutic combinations. To test the proposed co-culture model, a gold nanoparticle (GNP) mediated-radiation response was used. Cells were grown in co-culture with different ratios of CAFs to cancer cells. MIA PaCa-2 was used as our PDAC cancer cell line. Co-cultured cells were treated with 2 Gy of radiation following GNP incubation. DNA damage and cell proliferation were examined to assess the combined effect of radiation and GNPs. Cancer cells in co-culture exhibited up to a 23% decrease in DNA double strand breaks (DSB) and up to a 35% increase in proliferation compared to monocultures. GNP/Radiotherapy (RT) induced up to a 25% increase in DNA DSBs and up to a 15% decrease in proliferation compared to RT alone in both monocultured and co-cultured cells. The observed resistance in the co-culture system may be attributed to the role of CAFs in supporting cancer cells. Moreover, we were able to reduce the activity of CAFs using GNPs during radiation treatment. Indeed, CAFs internalize a significantly higher number of GNPs, which may have led to the reduction in their activity. One reason experimental therapeutics fail in clinical trials relates to limitations in the pre-clinical models that lack a true representation of the TME. We have demonstrated a co-culture platform to test GNP/RT in a clinically relevant environment.
Reliable, Robust, Accurate and Real-Time 2D LiDAR Human Tracking in Cluttered Environment: A Social Dynamic Filtering Approach

Reliable, robust, accurate, and real-time human tracking is essential for mobile robots and intelligent vehicles in real-life applications. 2D LiDAR is considered as the standard sensor for mobile robot navigation as well as human detection and tracking due to its low-cost and usability. However, 2D range limitation and occlusion caused by obstacles, especially dynamic human environments, make it less reliable, robust and accurate for human tracking. This letter introduces a new method for increasing the quality of 2D LiDAR human tracking in cluttered and crowded environments. We combined human content presented by Hall's Proxemics model with the global nearest neighbor to improve accuracy of scan-to-track data association of leg detection. Social dynamic confidence (SDC) factor is generated based on features of human social norms, dynamic metrics and consistency developed in the detection stage. As a result, our proposed method improved multi-object tracking accuracy and runtime 24% and 45%, respectively, against the state-of-the-art joint-leg-tracker technique in crowded and cluttered environments.