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Incomplete Atypical Femoral Fracture (IAFF) is a precursor to Atypical Femoral Fracture (AFF). If untreated, it progresses to a complete fracture, increasing mortality risk. However, due to their small and ambiguous features, IAFFs are often misdiagnosed even by specialists. In this paper, we propose a novel approach for accurately classifying IAFFs in X-ray images across various radiographic views. We design a Dual Context-aware Complementary Extractor (DCCE) to capture both the overall femur characteristics and IAFF details with the surrounding context, minimizing information loss. We also develop a Level-wise Perspective-preserving Fusion Network (LPFN) that preserves the perspective of features while integrating them at different levels to enhance model representation and sensitivity by learning complex correlations and features that are difficult to obtain independently. Additionally, we incorporate the Spatial Anomaly Focus Enhancer (SAFE) to emphasize anomalous regions, preventing the model bias toward normal regions, and reducing False Negatives and missed IAFFs. Experimental results show significant improvements across all evaluation metrics, demonstrating high reliability in terms of accuracy (0.931), F1-score (0.9456), and AUROC (0.9692), proving the model's potential for application in real medical settings. [ABSTRACT FROM AUTHOR]

The die bonding process is one of the most critical steps in the front-end semiconductor packaging process, as it significantly affects the yield of the entire IC packaging process. This research aims to find an efficient, intelligent vision detection model to identify whether each chip correctly adheres to the IC substrate; by utilizing the detection model to classify the type of defects occurring in the die bond images, the engineers can analyze the leading causes, enabling timely adjustments to key machine parameters in real-time, improving the yield of the die bond process, and significantly reducing manufacturing cost losses. This study proposes the lightweight Yolov7-tiny model using Depthwise-Separable and Ghost Convolutions and Sigmoid Linear Unit with β parameter (DSGβSI-Yolov7-tiny), which we can apply for real-time and efficient detection and prediction of die bond quality. The model achieves a maximum FPS of 192.3, a precision of 99.1%, and an F1-score of 0.97. Therefore, the performance of the proposed DSGβSI-Yolov7-tiny model outperforms other methods. [ABSTRACT FROM AUTHOR]

The Central Anticline Belt of the Xihu Sag is one of the structural units with the most abundant natural gas in the East China Sea Shelf Basin. However, there are significant differences among the anticline units in terms of the scale of natural gas enrichment, occurrence horizons, types of gas reservoirs, accumulation processes, and gas-bearing properties of different strata, which influence the optimization of exploration zones and the orientation of exploration in deep-buried areas. This study conducted a comprehensive analysis in terms of the structural evolution, fault activity, hydrocarbon charging stages, and process of hydrocarbon accumulation. It clarifies that (1) the preservation condition is one of the core factors for the differential enrichment of natural gas in the Central Anticline Belt. Under the background of differential compression of the Longjing Movement, late-stage and E-W-trending faults are commonly developed in the anticline cores of the strong compression area in the south, which damage the effectiveness of traps, resulting in a large amount of natural gas escaping and being locally adjusted and accumulated in shallow effective traps. The gas reservoirs show the characteristics of multiple accumulation horizons and a small scale. In the moderately strong compression area in the north, the E-W-trending faults have weak activities and shallow incision horizons. The original gas reservoirs are not damaged, and the structures are fully filled. (2) The coupling between faults and sand bodies determines the degree of oil and gas enrichment. In the weakly compressed area in the west, late-stage E-W-trending faults are not developed, and the preservation conditions are good. The main controlled faults on the flanks of the anticline are highly active, and the coupling degree between faults and sand bodies is good, resulting in a high gas saturation. However, the transport capacity in the anticline cores is relatively poor, with a low gas saturation. (3) The differences in the paleo-structural characteristics affect the degree of oil and gas enrichment. The paleo-structures formed before the Longjing Movement provided favorable conditions for the early convergence of oil and gas. Natural gas has the characteristics of multi-stage charging, and the deep gas reservoirs have higher gas saturation than the shallow ones. On this basis, this study proposed two natural gas accumulation processes developed in the Central Anticline Belt of the Xihu Sag under the background of differential compression. One is where the hydrocarbon convergence occurs first and then oil and gas transport and accumulate into the reservoirs; the other one is where the hydrocarbon convergence and accumulation occur simultaneously, followed by gas adjustment. This paper also concludes three differential accumulation models: the local enrichment and accumulation model of gas in the strongly compressed zone, the integrated enrichment and accumulation model in the medium-strongly compressed zone, and the fault–sand coupling accumulation model in the weakly compressed zone. The results of this research have great significance for the subsequent exploration, hydrocarbon enrichment style analysis, and further strategy in the deep-buried, tight to low-permeable reservoirs in ocean exploration areas. [ABSTRACT FROM AUTHOR]

Organic thin-film transistors (OTFTs), benefiting from a low-temperature process (≤120 °C), offer a promising approach for the monolithic integration of MicroLED structures through organic-last integration. Previous research has demonstrated that small-molecule/polymer binder-based organic semiconductor deposition, utilizing the vertical phase separation mechanism, can achieve good device uniformity while preserving high field-effect carrier mobility. However, the stability of OTFTs under light exposure at the device level remains underexplored. This study investigates the effects of various light irradiation conditions on OTFTs and delves into the underlying mechanisms of the light-trapping effect. Based on these findings, we propose an optimal OTFT design tailored for driving MicroLED displays at high operational brightness, ensuring both performance and stability. [ABSTRACT FROM AUTHOR]

Phospholipids (PLs) play a crucial role in the nutraceutical field due to their various health benefits, including supporting acetylcholine production, enhancing cell membrane fluidity, and promoting cognitive functions. This study aimed to investigate the PL composition of selected agri-foods, including grains, vegetables, and fruits, and assess the effects of cooking methods. The major PLs identified in most agri-foods were phosphatidylethanolamine (PE) and phosphatidylcholine (PC). Additionally, lyso-phosphatidylethanolamine and lyso-phosphatidylcholine were found in rice, grains, and wheat, while N-acyl-phosphatidylethanolamine was detected in grains, wheat, and some vegetables. Phosphatidylinositol was present in fruits and vegetables, and phosphatidylserine was exclusively found in mushrooms. The PL composition was influenced by cooking methods, with boiling, steaming, blanching, and roasting increasing the PL content, while salting tended to decrease it. Although most agri-foods contained higher levels of PC than PE, citrus fruits under long-term low-temperature storage had significantly more PE than PC. This study established a PL database for the selected agri- and processed/cooked foods, providing insights into changes in PL composition and content based on cooking methods. Given the important health functions of each PL, consuming various agri-foods and incorporating different cooking methods for optimal health benefits is advisable. [ABSTRACT FROM AUTHOR]

Background: Hypofunction of the glutamate system in the brain is one of the pathophysiological hypotheses for schizophrenia. Accumulating animal and clinical studies show that sarcosine (N-methylglycine), a glycine transporter-1 inhibitor, is effective in ameliorating the negative and cognitive symptoms of schizophrenia. The aims of the present study were to observe the effects of sarcosine on neuronal activity in the dorsal CA1 (dCA1) hippocampal neurons within an NMDA receptor hypofunction model induced by MK801. Methods: We applied in vivo calcium imaging to observe the dynamics of fluorescence from the dCA1 hippocampal neurons when the mice were exploring in an open field. Using this tool, we directly measured and compared neuronal properties between sarcosine-treated and untreated mice. At the same time, the physiological function of the neurons was also quantified by measuring their place fields. Results: Our data demonstrated that MK-801 (0.2 mg/kg) diminished the fluorescence intensity of dCA1 neurons that had been genetically modified with a calcium indicator. MK-801 also significantly increased the correlation coefficient between the fluorescence dynamics of pairs of cells, a feature that may be linked to the symptom of disorganization in human patients with schizophrenia. The spatial correlations of place fields in the mice were impaired by MK-801 as well. Injected sarcosine (500 mg or 1000 mg/kg) significantly alleviated the abovementioned abnormalities. Conclusions: Our data provide evidence to support the use of sarcosine to alleviate symptoms of schizophrenia, especially hippocampus-related functions. [ABSTRACT FROM AUTHOR]

Branched-chain amino acids (BCAAs) are essential for muscle protein synthesis and are widely acknowledged for mitigating sarcopenia. Oligonol® (Olg), a low-molecular-weight polyphenol from Litchi chinensis, has also been found to attenuate sarcopenia by improving mitochondrial quality and positive protein turnover. This study aims to investigate the effect of Olg on BCAA-stimulated protein synthesis in sarcopenia. In sarcopenic C57BL/6 mice and senescence-accelerated mouse-prone 8 (SAMP8) mice, BCAAs were significantly decreased in skeletal muscle but increased in blood serum. Furthermore, the expressions of membrane L-type amino acid transporter 1 (LAT1) and branched-chain amino acid transaminase 2 (BCAT2) in skeletal muscle were lower in aged mice than in young mice. The administration of Olg for 8 weeks significantly increased the expressions of membrane LAT1 and BCAT2 in the skeletal muscle when compared with non-treated SAMP8 mice. We further found that BCAA deprivation via LAT1-siRNA in C2C12 myotubes inhibited the signaling of protein synthesis and facilitated ubiquitination degradation of BCAT2. In C2C12 cells mimicking sarcopenia, Olg combined with BCAA supplementation enhanced mTOR/p70S6K activity more than BCAA alone. However, blocked LAT1 by JPH203 reversed the synergistic effect of the combination of Olg and BCAAs. Taken together, changes in LAT1 and BCAT2 during aging profoundly alter BCAA availability and nutrient signaling in aged mice. Olg increases BCAA-stimulated protein synthesis via modulating BCAA transportation and BCAA catabolism. Combining Olg and BCAAs may be a useful nutritional strategy for alleviating sarcopenia. [ABSTRACT FROM AUTHOR]

Major Depressive Disorder (MDD) is a prevalent mental health condition with a complex pathophysiology involving neuroinflammation, neurodegeneration, and disruptions in neuronal and glial cell function. Microglia, the innate immune cells of the central nervous system, release inflammatory cytokines in response to pathological changes associated with MDD. Damage-associated molecular patterns (DAMPs) act as alarms, triggering microglial activation and subsequent inflammatory cytokine release. This review examines the cellular mechanisms underlying MDD pathophysiology, focusing on the lipid-mediated modulation of neuroinflammation. We explore the intricate roles of microglia and astrocytes in propagating inflammatory cascades and discuss how these processes affect neuronal integrity at the cellular level. Central to our analysis are three key molecules: High Mobility Group Box 1 (HMGB1) and S100 Calcium Binding Protein β (S100β) as alarmins, and Neuron-Specific Enolase (NSE) as an indicator of neuronal stress. We present evidence from in vitro and ex vivo studies demonstrating how these molecules reflect and contribute to the neuroinflammatory milieu characteristic of MDD. The review then explores the potential of omega-3 polyunsaturated fatty acids (ω-3 PUFAs) as neuroinflammation modulators, examining their effects on microglial activation, cytokine production, and neuronal resilience in cellular models of depression. We critically analyze experimental data on how ω-3 PUFA supplementation influences the expression and release of HMGB1, S100β, and NSE in neuronal and glial cultures. By integrating findings from lipidomic and cellular neurobiology, this review aims to elucidate the mechanisms by which ω-3 PUFAs may exert their antidepressant effects through modulation of neuroinflammatory markers. These insights contribute to our understanding of lipid-mediated neuroprotection in MDD and may inform the development of targeted, lipid-based therapies for both depression and neurodegenerative disorders. [ABSTRACT FROM AUTHOR]

Biportal endoscopic spine surgery (BESS) is minimally invasive and therefore benefits both surgeons and patients. However, concerning complications include dural tears and neural tissue injuries. In this study, we aimed to develop a deep learning model for neural tissue segmentation to enhance the safety and efficacy of endoscopic spinal surgery. We used frames extracted from videos of 28 endoscopic spine surgeries, comprising 2307 images for training and 635 images for validation. A U-Net-like architecture is employed for neural tissue segmentation. Quantitative assessments include the Dice-Sorensen coefficient, Jaccard index, precision, recall, average precision, and image-processing time. Our findings revealed that the best-performing model achieved a Dice-Sorensen coefficient of 0.824 and a Jaccard index of 0.701. The precision and recall values were 0.810 and 0.839, respectively, with an average precision of 0.890. The model processed images at 43 ms per frame, equating to 23.3 frames per second. Qualitative evaluations indicated the effective identification of neural tissue features. Our U-Net-based model robustly performed neural tissue segmentation, indicating its potential to support spine surgeons, especially those with less experience, and improve surgical outcomes in endoscopic procedures. Therefore, further advancements may enhance the clinical applicability of this technique. [ABSTRACT FROM AUTHOR]

Objective: Omega-3 polyunsaturated fatty acids (n-3 PUFAs) have demonstrated protective effects in major depressive disorder (MDD) patients receiving antidepressant treatment. However, there have been a few double-blind randomized controlled trials focused on n-3 PUFAs as monotherapy in MDD, and the outcomes have been mixed. This study aimed to assess the clinical effects of n-3 PUFAs monotherapy in patients with MDD. Methods: A total of 60 patients with MDD participated in this 12-week double-blind randomized controlled trial. They were randomized to either the n-3 PUFAs group (n = 30; 3.2 g of eicosapentaenoic acid, EPA and docosahexaenoic acid, DHA per day) or the placebo group (n = 30; 3.2 g of soybean oil per day). The severity of depression was evaluated using the Hamilton Rating Scale for Depression (HRSD). Results: The n-3 PUFAs group had a significantly lower HRSD score compared with the placebo group at week 4 (p = 0.004), week 6 (p = 0.006), week 8 (p = 0.004), and week 12 (p = 0.01). The n-3 PUFAs group showed slightly higher rates for both remission (26.7% vs. 10%, p = 0.095) and response (23.3% vs. 6.7%, p = 0.145) compared with the placebo group at week 12, but these differences did not reach statistical significance. Conclusions: These findings suggested that monotherapy of n-3 PUFAs could improve depression and potentially serve as an alternative option for MDD patients. [ABSTRACT FROM AUTHOR]

Background: Caffeine intake in the form of chewing gum is characterized by rapid absorption and utilization. Objectives: The purpose of this study was to investigate the effects of caffeinated chewing gum on exercise performance and physiological responses in a systematic review. Methods: All articles were searched using the PubMed and Scopus databases to include articles published up to June 2024, following the Preferred Reporting Items for Systematic Evaluation and Meta-Analysis (PRISMA) protocol. Results: Thirty-two studies were finally included. Most studies have found that pre-exercise caffeinated chewing gum supplementation is effective in improving endurance, repetitive sprinting, lower limb strength, and sport-specific performance, as well as lowering rating of perceived exertion (RPE) or fatigue index even with lower dosages of caffeine. Sympathetic activation may be one of the mechanisms by which caffeinated chewing gum affects athletic performance. No significant effect on energy metabolism indicators (blood glucose, blood lactate, free fatty acids) was found. In addition, two studies found that caffeinated chewing gum reduced or maintained cortisol levels and increased testosterone levels. However, caffeinated chewing gum intake does not have an impact on catecholamines and β-endorphins. There have been inconsistent results for explosive performance, agility performance, and pain perception. Only a few studies have examined balance performance. In conclusion, a low dose of caffeine (100–300 mg or 2–4 mg/kg) in the form of chewing gum is rapidly absorbed and utilized, positively impacting most exercise and physiological performance. Conclusions: Future studies should also consider the performance variables of agility, pain perception, and explosive performance to gain a more comprehensive understanding of the effects of caffeinated chewing gum on sympathetic activation and exercise performance. [ABSTRACT FROM AUTHOR]

The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, including weak authentication, insufficient data protection, and firmware vulnerabilities. To address these issues, we propose a linguistic secret sharing scheme tailored for IoT applications. This scheme leverages neural networks to embed private data within texts transmitted by IoT devices, using an ambiguous token selection algorithm that maintains the textual integrity of the cover messages. Our approach eliminates the need to share additional information for accurate data extraction while also enhancing security through a secret sharing mechanism. Experimental results demonstrate that the proposed scheme achieves approximately 50% accuracy in detecting steganographic text across two steganalysis networks. Additionally, the generated steganographic text preserves the semantic information of the cover text, evidenced by a BERT score of 0.948. This indicates that the proposed scheme performs well in terms of security. [ABSTRACT FROM AUTHOR]

Background: The Supportive and Palliative Care Indicators Tool (SPICT) was developed for identifying, in a timely manner, patients who may benefit from supportive and palliative care for better treatment review, care-plan discussion, and end-of-life care. Although the SPICT has been validated in different languages and for patients living in different settings, it has not been validated for patients receiving home-based medical care (HBMC), or in the context of using traditional Chinese characters. Objectives: The present study aimed to validate the Taiwanese version of the SPICT (SPICT-TW) and to measure its ability to predict six-month mortality in patients who received HBMC in Taiwan. Methods: Seven HBMC agents (five clinics and two hospitals) participated in this validation study. We recruited 129 patients aged ≥ 50 years who had been consistently receiving HBMC for >two months. Results: The results revealed that the SPICT-TW demonstrated similar reliability and validity compared to other language versions of the SPICT. It may be an appropriate tool for healthcare professionals to detect, in a timely manner, the needs for palliative care in older people who receive home healthcare. Furthermore, we found that a combination of four general indicators and one clinical indicator in the SPCIT-TW has the best prediction ability at predicting six-month mortality in these HBMC recipients. This multi-center study validated the SPICT-TW among HBMC recipients in Taiwan. Conclusions: The SPICT-TW demonstrated high reliability and validity through the Kuder–Richardson 20, an intraclass correlation coefficient, Cohen's kappa, and receiver operating characteristic analysis, supporting its potential as a practical tool for identifying older adults at risk of dying within six months who have not yet received palliative care but may benefit from it. [ABSTRACT FROM AUTHOR]

Magnolia sieboldii, an important ornamental tree native to East Asia, comprises two subspecies in distinct regions, with wild populations facing suboptimal survival. This study aimed to understand the potential habitat distribution of these subspecies under future climate-change conditions to support climate-adaptive conservation. The maximum entropy (MaxEnt) model was used with occurrence and environmental data to simulate the current and future suitable habitats under various climate scenarios. Precipitation in the warmest quarter played a crucial role in shaping the potential habitats of both subspecies; however, they exhibited different sensitivities to temperature-related variables and altitude. Magnolia sieboldii subsp. sieboldii is more sensitive to temperature seasonality and annual mean temperature, whereas Magnolia sieboldii subsp. japonica is more affected by altitude, mean temperature in the driest quarter, and isothermality. Currently, the subsp. sieboldii is predicted to have larger, more contiguous suitable habitats across northeastern China, the Korean Peninsula, and Japan, whereas the subsp. japonica occupies smaller, more disjunct habitats scattered in central and western Japan and the southern Chinese mountains. These two subspecies will respond differently to future climate change. Potentially suitable habitats for subsp. sieboldii are expected to expand significantly northward over time, especially under the SSP585 scenario compared with the SSP126 scenario. In contrast, moderately and highly suitable habitats for the subsp. japonica are projected to contract southward significantly. Therefore, we recommend prioritizing the conservation of the subsp. japonica over that of the subsp. sieboldii. Strategies include in situ and ex situ protection, introduction and cultivation, regional hybridization, and international cooperation. Our study offers valuable insights for the development of targeted conservation strategies for both subspecies of M. sieboldii to counteract the effects of climate change. [ABSTRACT FROM AUTHOR]

This study proposed an improved full-scale aggregated MobileUNet (FA-MobileUNet) model to achieve more complete detection results of oil spill areas using synthetic aperture radar (SAR) images. The convolutional block attention module (CBAM) in the FA-MobileUNet was modified based on morphological concepts. By introducing the morphological attention module (MAM), the improved FA-MobileUNet model can reduce the fragments and holes in the detection results, providing complete oil spill areas which were more suitable for describing the location and scope of oil pollution incidents. In addition, to overcome the inherent category imbalance of the dataset, label smoothing was applied in model training to reduce the model's overconfidence in majority class samples while improving the model's generalization ability. The detection performance of the improved FA-MobileUNet model reached an mIoU (mean intersection over union) of 84.55%, which was 17.15% higher than that of the original U-Net model. The effectiveness of the proposed model was then verified using the oil pollution incidents that significantly impacted Taiwan's marine environment. Experimental results showed that the extent of the detected oil spill was consistent with the oil pollution area recorded in the incident reports. [ABSTRACT FROM AUTHOR]

In an AI-immersing age, scholars look for new possibilities of employing AI technology to their fields, and how to strengthen security and protect privacy is no exception. In a coverless data hiding domain, the embedding capacity of an image generally depends on the size of a chosen database. Therefore, choosing a suitable database is a critical issue in coverless data hiding. A novel coverless data hiding approach is proposed by applying deep learning models to generate texture-like cover images or code images. These code images are then used to construct steganographic images to transmit covert messages. Effective mapping tables between code images in the database and hash sequences are established during the process. The cover images generated by a two-dimensional fractional Brownian motion (2D FBM) are simply called fractional Brownian images (FBIs). The only parameter, the Hurst exponent, of the 2D FBM determines the patterns of these cover images, and the seeds of a random number generator determine the various appearances of a pattern. Through the 2D FBM, we can easily generate as many FBIs of multifarious sizes, patterns, and appearances as possible whenever and wherever. In the paper, a deep learning model is treated as a secret key selecting qualified FBIs as code images to encode corresponding hash sequences. Both different seeds and different deep learning models can pick out diverse qualified FBIs. The proposed coverless data hiding scheme is effective when the amount of secret data is limited. The experimental results show that our proposed approach is more reliable, efficient, and of higher embedding capacity, compared to other coverless data hiding methods. [ABSTRACT FROM AUTHOR]

This exploratory research conducted a thematic analysis of students' experiences and utilization of AI tools by students in educational settings. We surveyed 87 undergraduates from two different educational courses at a comprehensive university in Western Canada. Nine integral themes that represent AI's role in student learning and key issues with respect to AI have been identified. The study yielded three critical insights: the potential of AI to expand educational access for a diverse student body, the necessity for robust ethical frameworks to govern AI, and the benefits of personalized AI-driven support. Based on the results, a model is proposed along with recommendations for an optimal learning environment, where AI facilitates meaningful learning. We argue that integrating AI tools into learning has the potential to promote inclusivity and accessibility by making learning more accessible to diverse students. We also advocate for a shift in perception among educational stakeholders towards AI, calling for de-stigmatization of its use in education. Overall, our findings suggest that academic institutions should establish clear, empirical guidelines defining student conduct with respect to what is considered appropriate AI use. [ABSTRACT FROM AUTHOR]

Artificial intelligence has garnered significant attention in recent years as a rapidly advancing field of computer technology. With the continual advancement of computer hardware, deep learning has made breakthrough developments within the realm of artificial intelligence. Over the past few years, applying deep learning architecture in medicine and industrial anomaly inspection has significantly contributed to solving numerous challenges related to efficiency and accuracy. For excellent results in radiological, pathological, endoscopic, ultrasonic, and biochemical examinations, this paper utilizes deep learning combined with image processing to identify spinal canal and vertebral foramen dimensions. In existing research, technologies such as corrosion and expansion in magnetic resonance image (MRI) processing have also strengthened the accuracy of results. Indicators such as area and Intersection over Union (IoU) are also provided for assessment. Among them, the mean Average Precision (mAP) for identifying intervertebral foramen (IVF) and intervertebral disc (IVD) through YOLOv4 is 95.6%. Resnet50 mixing U-Net was employed to identify the spinal canal and intervertebral foramen and achieved IoU scores of 79.11% and 80.89%. [ABSTRACT FROM AUTHOR]

Simple Summary: Mouse models of disease are commonly used to generate compelling data which are the basis for biological conviction in drug discovery. Systemic lupus erythematosus (SLE) is a debilitating autoimmune disease which can often lead to kidney failure, and there are many mouse models that claim to mimic the disease, but none can completely reproduce all aspects of human SLE. To effectively utilize these models for drug development, we must understand which biological similarities they share with human SLE patients. Here, we compared a select number of lupus mouse models to see how well immune pathways in kidney samples mimic human disease in kidney samples from lupus patients. The mouse models vary in the type and intensity of immune responses that were observed. Each mouse model shares various aspects of immune response with human SLE patients and should be utilized based on drug targets and shared biological pathways. Systemic lupus erythematosus (SLE) is a chronic, systemic autoimmune disease which can present with mixed organ involvement. Kidney involvement in lupus nephritis (LN) is a severe complication and major cause of mortality in SLE patients, second only to cardiovascular disease. While mouse models have helped uncover some molecular pathways involved in SLE/LN, we need a better understanding of the connection of these pathways and the immune cells involved in disease pathogenesis to develop new and effective therapies. Furthermore, models used for studying SLE/LN in mice have a heterogeneous immune response and may not always represent disease manifestations observed in patients. Identifying models that have shared pathways with human disease would allow for better translation for developing effective SLE/LN therapies. The molecular pathways of five different SLE/LN models (MRL/lpr, poly (I:C)-induced, interferon-α-induced, bm12 GvHD, and spontaneous NZB/W F1) were compared to characterize the immune response in mouse kidneys. These models demonstrated varied magnitudes in immune responses and proportions of innate vs. adaptive cell involvement. These findings were compared to human molecular pathways and cell types from public databases, including the Accelerating Medicine Partnership–Systemic Lupus Erythematosus Program (AMP-SLE), to help corelate mechanisms involved in mouse models to human disease. [ABSTRACT FROM AUTHOR]

Prosocial behavior is fundamental for healthcare students, shaped by their traits and the external environment. Online information seeking is the most commonly used way for healthcare students to access pandemics; however, it is unclear whether the willingness of healthcare students to help others will be affected by pandemic information via the Internet environment. The current study takes the COVID-19 pandemic as an example, investigating how 81 healthcare students with varying prosocial tendencies behaved helpfully after being exposed to pandemic-related pictures online. Study 1 measured the influence of emotional contagion (positive emotion/negative emotion) from online information on students' prosocial behavior; Study 2 examined online information's influence on prosocial behavior by controlling individuals' epistemic motivation (goal-directed task/no-goal-directed task) to gain pandemic information. The results indicated that negative pandemic information was more likely to influence students with low prosocial tendencies, which would then lead to a decrease in prosocial actions (F = 7.842, p = 0.005). Further, students with low prosocial tendencies were more likely to engage in prosocial behavior when they did not aim goal-directed attention to the pandemic-related information, compared to those with goal-directed attention (F = 9.159, p = 0.003). Participants with high prosocial tendencies did not differ much in helping others (p > 0.05). The results indicated that only healthcare students with limited prosocial tendencies were less inclined to assist others after receiving negative information about the pandemic. Thus, reducing their deliberate approach to online information related to the pandemic will increase their chances of taking prosocial behavior. [ABSTRACT FROM AUTHOR]

Papillary thyroid cancer (PTC) is one of the most treatable forms of cancer, with many cases being fully curable. However, resistance to anticancer drugs often leads to metastasis or recurrence, contributing to the failure of cancer therapy and, ultimately, patient mortality. The mechanisms underlying molecular differences in patients with metastatic or recurrent PTC, particularly those resistant to anticancer drugs through epigenetic reprogramming, remain poorly understood. Consequently, refractory PTC presents a critical challenge, and effective therapeutic strategies are urgently needed. Therefore, this study aimed to identify small-molecule inhibitors to enhance treatment efficacy in lenvatinib-resistant PTC. We observed an increase in sarco/endoplasmic reticulum calcium ATPase (SERCA) levels in patient-derived lenvatinib-resistant PTC cells compared with lenvatinib-sensitive ones, highlighting its potential as a therapeutic target. We subsequently identified two SERCA inhibitors [candidates 40 (isoflurane) and 42 (ethacrynic acid)] through in silico screening. These candidates demonstrated significant tumor shrinkage in a xenograft tumor model and reduced cell viability in patient-derived lenvatinib-resistant PTC cells when used in combination with lenvatinib. Our findings have potential clinical value for the development of new combination therapies to effectively target highly malignant, anticancer drug-resistant cancers. [ABSTRACT FROM AUTHOR]

Self-organizing networks of small satellites have gradually gained attention in recent years. However, self-organizing networks of small satellites have high topological change frequency, large transmission delay, and complex communication environments, which require appropriate networking and routing methods. Therefore, this paper, considering the characteristics of satellite networks, proposes the shortest queue length-cluster-based routing protocol (SQL-CBRP) and has built a satellite self-organizing network simulation platform based on OMNeT++. In this platform, functions such as the initial establishment of satellite self-organizing networks and cluster maintenance have been implemented. The platform was used to verify the latency and packet loss rate of SQL-CBRP and to compare it with Dijkstra and Greedy Perimeter Stateless Routing (GPSR). The results show that under high load conditions, the delay of SQL-CBRP is reduced by up to 4.1%, and the packet loss rate is reduced by up to 7.1% compared to GPSR. When the communication load is imbalanced among clusters, the delay of SQL-CBRP is reduced by up to 12.7%, and the packet loss rate is reduced by up to 16.7% compared to GPSR. Therefore, SQL-CBRP performs better in networks with high loads and imbalance loads. [ABSTRACT FROM AUTHOR]

This study utilized electrical resistivity imaging (ERI) to investigate subsurface characteristics near Nicolaus Copernicus University Polar Station on the western Spitsbergen-Kaffiøyra Plain island in the Svalbard archipelago. Surveys along two lines, LN (148 m) collected in 2022 and 2023, and ST (40 m) collected in 2023, were conducted to assess resistivity and its correlation with ground temperatures. The LN line revealed a 1- to 2-m-thick resistive unsaturated outwash sediment layer, potentially indicative of permafrost. Comparing the LN resistivity result between 2022 and 2023, a 600 Ohm.m decrease in the unsaturated active layer in 2023 was observed, attributed to a 5.8 °C temperature increase, suggesting a link to global warming. ERI along the ST line depicted resistivity, reaching its minimum at approximately 1.6 m, rising to over 200 Ohm.m at 4 m, and slightly decreasing to around 150 Ohm.m at 7 m. Temperature measurements from the ST line's monitoring strongly confirmed that the active layer extends to around 1.6 m, with permafrost located at greater depths. Additionally, water content distribution in the ST line was estimated after temperature correction, revealing a groundwater depth of approximately 1.06 m, consistent with measurements from the S4 borehole on the ST line. This study provides valuable insights into Arctic subsurface dynamics, emphasizing the sensitivity of resistivity patterns to climate change and offering a comprehensive understanding of permafrost behavior in the region. [ABSTRACT FROM AUTHOR]

Background/Objectives: This study evaluates the impact of anti-vascular endothelial growth factor (anti-VEGF) treatment on neovascular age-related macular degeneration (nAMD) with and without pigment epithelial detachment (PED) over a one-year period. Methods: Conducted at a tertiary referral center in Taiwan, this retrospective analysis included 88 eyes treated with intravitreal aflibercept injections. Patients were categorized into four groups based on the presence or absence of PED at baseline and 12 months post-treatment. Results: Significant reductions in central macular thickness (CMT) and PED height were observed, although no statistical difference was found in best-corrected visual acuity (BCVA). The presence or type of PED did not negatively impact visual outcomes. Among nAMD patients with persistent PED throughout the first year of anti-VEGF treatment, linear regression analysis showed that mixed-type PED revealed poor final BCVA compared to those with serous PED. The analysis also identified older age and poorer initial BCVA as predictors of less favorable visual outcomes. Conclusions: This study highlights the effectiveness of anti-VEGF therapy in real-world settings and offers insights into factors influencing visual outcomes for nAMD patients with PED. [ABSTRACT FROM AUTHOR]

Preparing electrospun fibers by applying a potential difference between a polymeric solution and a contacting substrate is increasingly attracting attention in tissue engineering applications. Among the numerous polymers, polycaprolactone (PCL) bioscaffold has been widely investigated due to its biocompatibility and biodegradability. Bioactive powder can be added to further improve its performance. In the present study, bioactive glass powder modified by adding 0–6 wt.% antibacterial zinc element (coded as ZBG) was prepared through the sol–gel process. Furthermore, PCL bioscaffolds with various ZBG additions were prepared using the electrospinning technique. The zinc-doped bioactive glass powder and electrospun PCL/ZBG bioscaffolds were evaluated using scanning electron microscopy, X-ray diffraction and Fourier-transform infrared spectroscopy to determine their structural properties. Additionally, in vitro bioactivity, biocompatibility and antibacterial performance were investigated. Experimental results showed that sol–gelled ZBG powder possessed superior bioactivity and 0.8 g ZBG was the optimal addition to prepare PCL/ZBG bioscaffolds with. All the electrospun PCL/ZBG bioscaffolds were biocompatible and their antibacterial performance against two S. aureus strains (SA133 and Newman) improved with increasing zinc concentration. Electrospun PCL/ZBG bioscaffolds exhibited excellent bioactivity and have great potential for biomedical application. [ABSTRACT FROM AUTHOR]

Simple Summary: This research investigates how personal and health-related factors impact the quality of life of head and neck cancer survivors treated with radiotherapy and surgery. By studying 150 patients—60 with nasopharyngeal cancer and 90 with oral cavity cancer—researchers utilized a specific survey to assess the effects of various elements, including cancer type, age, gender, relationship status, education, and employment. Findings revealed that cancer type, treatment history, and employment status significantly influenced quality of life. Patients with nasopharyngeal cancer reported better social and functional outcomes than those with oral cavity cancer. Additionally, unemployment was correlated with lower quality of life, while having a partner and undergoing certain surgeries positively impacted outcomes. These insights can aid research efforts to better support cancer survivors and customize treatment approaches for improved well-being. Objectives: This study aimed to examine the relationship between health-related quality of life (HRQoL) and sociodemographic and clinical variables in survivors of head and neck cancer (HNC) treated with radiotherapy, with or without surgery. Materials and Methods: HRQoL was measured using the functional assessment of cancer therapy—head and neck (FACT-H&N) in a cross-sectional survey involving 150 patients. Of these, 60 had nasopharyngeal cancer (NPC), treated exclusively with radiotherapy, while 90 had oral cavity squamous cell cancer (OSCC), undergoing radical surgery followed by adjuvant radiotherapy. Key variables included cancer type, age, gender, partnership status, education, and employment, with additional clinical variables assessed in patients with OSCC. Statistical analyses included multiple regression, ANOVA, and t-tests to explore relationships between variables and HRQoL. Results: Cancer type, surgical treatment, and employment status emerged as significant independent predictors of HRQoL in HNC patients. Patients with NPC reported better HRQoL on three FACT-H&N subscales—social/family well-being, functional well-being, and additional concerns—compared to patients with OSCC. Unemployed individuals exhibited lower HRQoL on four subscales. In patients with OSCC, partnership status and segmental mandibulectomy were found to predict HRQoL independently. Conclusions: This study concludes that cancer type, surgical intervention, and employment status notably influence HRQoL among HNC patients undergoing radiotherapy. In addition, partnership status is a key factor affecting HRQoL in patients with OSCC. [ABSTRACT FROM AUTHOR]

Background/Objectives: Geriatric hip fracture patients have an increased risk of malnutrition. Proper nutritional supply in the perioperative period is very important for their recovery. Oral nutritional supplements (ONSs) are recommended in geriatric hip fracture patients to improve dietary intake and prevent complications. This study aimed to evaluate the efficacy of postoperative ONSs after total hip arthroplasty in geriatric hip fracture patients. Methods: A retrospective study of elderly patients who underwent total hip arthroplasty for hip fracture was conducted. Data from patients who received ONSs postoperatively until hospital discharge (ONS group, n = 69) were compared with patients who did not receive ONSs (control group, n = 168). Laboratory test results, including serum protein and albumin levels, length of hospital stay, and the incidence of postoperative medical complications of the two groups, were analyzed. Results: Preoperative serum protein and albumin levels were significantly higher in the control group (p = 0.002 and p = 0.010, respectively). However, the degree of decline for both protein and albumin levels was significantly less in the ONS group (p < 0.001 for both). Serum albumin levels were significantly higher in the ONS group at postoperative two-week follow-up (p = 0.006). The length of hospital stay was shorter in the ONS group (p < 0.001). The incidence of postoperative delirium was significantly higher in the control group (p = 0.007). Conclusions: In geriatric hip fracture patients, postoperative ONSs can improve postoperative nutritional status, shorten the length of hospital stay, and reduce the incidence of postoperative delirium. [ABSTRACT FROM AUTHOR]

Simple Summary: Oral cancer is a challenging disease to treat, and new therapies are needed to improve patient outcomes. Okanin, a natural compound derived from Bidens pilosa L., has been known for its anti-inflammatory properties, but its effects on cancer, particularly oral cancer, are less understood. In this study, we investigated the anticancer potential of okanin in human oral cancer cells. Our results showed that okanin effectively reduced the growth of oral cancer cells by inducing cell death through mechanisms involving both apoptosis and pyroptosis. Additionally, okanin inhibited tumor growth in a mouse model of oral cancer. These findings suggest that okanin may be a promising natural compound for developing new treatments for oral cancer. Background: Okanin, a flavonoid compound derived from Bidens pilosa L., has garnered attention for its anti-inflammatory properties. Although Bidens pilosa is commonly used in healthcare products and functional foods, the anticancer potential of okanin, particularly in oral cancer, remains underexplored. This study aims to investigate the effects of okanin on oral cancer cell lines and its potential as a therapeutic agent. Methods: The study involved assessing the cytotoxic effects of okanin on oral cancer cell lines SAS, SCC25, HSC3, and OEC-M1. The IC50 values were determined using methylene blue assays, and the clonogenic capacity was evaluated through colony formation assays. Flow cytometry was used to analyze cell cycle progression and apoptosis. Caspase-3/7 activity assays and annexin V/7-AAD staining confirmed the induction of apoptosis and pyroptosis. In vivo efficacy was assessed using a SAS xenograft model, and immunohistochemical analysis of xenograft tissue was performed to examine pyroptosis-related markers. Results: Okanin exhibited potent cytotoxic effects with IC50 values of 12.0 ± 0.8, 58.9 ± 18.7, 18.1 ± 5.3, and 43.2 ± 6.2 μM in SAS, SCC25, HSC3, and OEC-M1 cells, respectively. It caused dose- and time-dependent reductions in cell viability and significantly impaired clonogenic capacity. Flow cytometry revealed G2/M cell cycle arrest and increased sub-G1 population, indicating cell cycle disruption and death. Okanin induced both apoptosis and pyroptosis, as confirmed by caspase-3/7 activity and annexin V/7-AAD staining. In vivo, okanin reduced tumor growth and involved pyroptosis-related markers such as CASP1, GSDMC, GSDMD, and GSDME. Conclusions: Okanin demonstrates significant anticancer potential, particularly in oral cancer, by inducing both apoptosis and pyroptosis. Its efficacy in reducing tumor growth in vivo further supports its potential as a novel therapeutic option. Further mechanistic studies are needed to elucidate the pathways involved in okanin-mediated cell death and to explore its clinical applications. [ABSTRACT FROM AUTHOR]

Reversible data-hiding in encrypted images (RDHEI) plays a pivotal role in preserving privacy within images stored on cloud platforms. Recently, Wang et al. introduced a dual-stage permutation encryption scheme, which is highly compatible with RDHEI techniques. In this study, we undertake an exhaustive examination of the characteristics inherent to the dual-stage permutation scheme and propose two cryptanalysis schemes leveraging a large-kernel convolutional neural network (LKCNN) and a known plaintext attack (KPA) scheme, respectively. Our experimental findings demonstrate the effectiveness of our cryptanalysis schemes in breaking the dual-stage permutation encryption scheme. Based on our investigation, we highlight significant security vulnerabilities in the dual-stage permutation encryption scheme, raising concerns about its suitability for secure image storage and privacy protection in cloud environments. [ABSTRACT FROM AUTHOR]

In this article, the authors present the design of a compact multiband monopole antenna measuring 30 × 10 × 1.6 mm3, which is aimed at optimizing performance across various communication bands, with a particular focus on Wi-Fi and sub-6G bands. These bands include the 2.4 GHz band, the 3.5 GHz band, and the 5–6 GHz band, ensuring versatility in practical applications. Another important point is that this paper demonstrates effective methods for reducing mutual coupling through two meander slits on the common ground, resembling a defected ground structure (DGS) between two antenna elements. This approach achieves mutual coupling suppression from −6.5 dB and −9 dB to −26 dB and −13 dB at 2.46 GHz and 3.47 GHz, respectively. Simulated and measured results are in good agreement, demonstrating significant improvements in isolation and overall multiple-input multiple-output (MIMO) antenna system performance. This research proposes a compact multiband monopole antenna and demonstrates a method to suppress coupling in multiband antennas, making them suitable for internet of things (IoT) sensor devices and Wi-Fi infrastructure systems. [ABSTRACT FROM AUTHOR]

Simple Summary: Imiquimod (IMQ) is clinically used in the treatment of various skin malignancies. We previously showed that IMQ-induced apoptosis and autophagic cell death in skin cancer cells are ROS-dependent. Additionally, IMQ-induced apoptosis is associated with a decrease in Mcl-1 levels. However, the exact role of Mcl-1 in IMQ-induced apoptosis, including its protective mechanisms and physiological function in cancer cells, remains unclear. This study demonstrated that the overexpression of Mcl-1 or IL-6-induced Mcl-1 upregulation reversed mitochondrial dysfunction, mitochondrial fission, and mitophagy in IMQ-treated cancer cells and protected them from IMQ-induced apoptosis. These results provide significant insights supporting the role of Mcl-1 in mitochondria and suggest that it may be a potential target for cancer research and therapy. Mitochondria, vital organelles that generate ATP, determine cell fate. Dysfunctional and damaged mitochondria are fragmented and removed through mitophagy, a mitochondrial quality control mechanism. The FDA-approved drug IMQ, a synthetic agonist of Toll-like receptor 7, exhibits antitumor activity against various skin malignancies. We previously reported that IMQ promptly reduced the level of the antiapoptotic Mcl-1 protein and that Mcl-1 overexpression attenuated IMQ-triggered apoptosis in skin cancer cells. Furthermore, IMQ profoundly disrupted mitochondrial function, promoted mitochondrial fragmentation, induced mitophagy, and caused cell death by generating high levels of ROS. However, whether Mcl-1 protects mitochondria from IMQ treatment is still unknown. In this study, we demonstrated that Mcl-1 overexpression induced resistance to IMQ-induced apoptosis and reduced both IMQ-induced ROS generation and oxidative stress in cancer cells. Mcl-1 overexpression maintained mitochondrial function and integrity and prevented mitophagy in IMQ-treated cancer cells. Furthermore, IL-6 protected against IMQ-induced apoptosis by increasing Mcl-1 expression and attenuating IMQ-induced mitochondrial fragmentation. Mcl-1 overexpression ameliorates IMQ-induced ROS generation and mitochondrial fragmentation, thereby increasing mitochondrial stability and ultimately attenuating IMQ-induced cell death. Investigating the roles of Mcl-1 in mitochondria is a potential strategy for cancer therapy development. [ABSTRACT FROM AUTHOR]

Al-Mg alloys are widely used as important engineering structural materials in aerospace engineering, transportation systems, and structural constructions due to their low density, high specific strength, corrosion resistance, welding capability, fatigue strength, and cost-effectiveness. However, the conventional Al-Mg alloys can no longer fully satisfy the demands of practical production due to difficulties caused by many defects. The high strength of Al-Mg alloys as non-heat treatment precipitation-strengthened alloys is achieved primarily by solid solution strengthening along with work hardening rather than precipitation strengthening. Therefore, severe plastic deformation (SPD) techniques can be often used to produce ultrafine-grained structures to fabricate ultra-high strength aluminum alloys. However, this approach often achieves the strengthening of material at the cost of reduced ductility. This paper comprehensively summarizes the various approaches of ultrafine/nanocrystalline materials for enhancing their plasticity, elaborates on the creation of a bimodal microstructure within the alloy, and discusses the formation of a nanotwin microstructure within the alloy and the incorporation of dispersed nanoparticles. The mechanisms underlying both the strengthening and toughening during large plastic deformation in aluminum alloys are summarized, and the future research direction of high-performance ultrafine crystalline and nanocrystalline Al-Mg aluminum alloys is prospected. [ABSTRACT FROM AUTHOR]

Cholesterol homeostasis is pivotal for cellular function. Acyl-coenzyme A:cholesterol acyltransferase 1 (ACAT1), also abbreviated as SOAT1, is an enzyme responsible for catalyzing the storage of excess cholesterol to cholesteryl esters. ACAT1 is an emerging target to treat diverse diseases including atherosclerosis, cancer, and neurodegenerative diseases. F12511 is a high-affinity ACAT1 inhibitor. Previously, we developed a stealth liposome-based nanoparticle to encapsulate F12511 to enhance its delivery to the brain and showed its efficacy in treating a mouse model for Alzheimer's disease (AD). In this study, we introduce F26, a close derivative of F12511 metabolite in rats. F26 was encapsulated in the same DSPE-PEG2000/phosphatidylcholine (PC) liposome-based nanoparticle system. We employed various in vitro and in vivo methodologies to assess F26's efficacy and toxicity compared to F12511. The results demonstrate that F26 is more effective and durable than F12511 in inhibiting ACAT1, in both mouse embryonic fibroblasts (MEFs), and in multiple mouse tissues including the brain tissues, without exhibiting any overt systemic or neurotoxic effects. This study demonstrates the superior pharmacokinetic and safety profile of F26 in wild-type mice, and suggests its therapeutic potential against various neurodegenerative diseases including AD. [ABSTRACT FROM AUTHOR]

Background: Hypersensitivity to the new dermal injectable porcine-based collagen with lidocaine featuring a novel cross-linking technology (test filler) for nasolabial fold correction was compared to the commercially available traditional cross-linked dermal injectable porcine-based collagen with lidocaine (control filler). Methods: Recruited participants (n = 279) received a single 0.1 mL intradermal injection of either test filler or control filler in the left forearm as a screening skin allergy test. Injection sites were assessed clinically at 24 h post-implant. Treatment was given to 252 successfully screened participants, and injection sites were monitored for 21 days. Immunological examinations were performed at screening and then at 4 and 24 weeks post-treatment. Observations for adverse events continued until the 52nd week. Results: Intradermal allergy testing results were negative for all the test recipients (0/124) and positive for two control recipients (2/132, 1.5%). Most of the participants exhibited no changes in serum immunoglobulin (IgG, IgM) and complement (C3, C4) levels. No serious adverse events related to the device were recorded. Most adverse events were common complications of dermal filler treatment and were related to the injection site. Most adverse effects were resolved or under control by 52 weeks. Conclusions: Hypersensitivity reactions with the test filler were lower than those with the control filler, validating the safe use of test filler for nasolabial fold correction without the need for pretreatment skin testing. [ABSTRACT FROM AUTHOR]

Data hiding in digital images is an important cover communication technique. This paper studies the lossless data hiding in an image compression domain. We present a novel lossless data hiding scheme in vector quantization (VQ) compressed images using adaptive prediction difference coding. A modified adaptive index rearrangement (AIR) is presented to rearrange a codebook, and thus to enhance the correlation of the adjacent indices in the index tables of cover images. Then, a predictor based on the improved median edge detection is used to predict the indices by retaining the first index. The prediction differences are calculated using the exclusive OR (XOR) operation, and the vacancy capacity of each prediction difference type is evaluated. An adaptive prediction difference coding method based on the vacancy capacities of the prediction difference types is presented to encode the prediction difference table. Therefore, the original index table is compressed, and the secret data are embedded into the vacated room. The experimental results demonstrate that the proposed scheme can reduce the pure compression rate compared with the related works. [ABSTRACT FROM AUTHOR]

Accurate forecasting of inbound visitor numbers is crucial for effective planning and resource allocation in the tourism industry. Preceding forecasting algorithms primarily focused on time series analysis, often overlooking influential factors such as economic conditions. Regression models, on the other hand, face challenges when dealing with high-dimensional data. Previous autoencoders for feature selection do not simultaneously incorporate feature and target information simultaneously, potentially limiting their effectiveness in improving predictive performance. This study presents a novel approach that combines a target-concatenated autoencoder (TCA) with ensemble learning to enhance the accuracy of tourism demand predictions. The TCA method integrates the prediction target into the training process, ensuring that the learned feature representations are optimized for specific forecasting tasks. Extensive experiments conducted on the Taiwan and Hawaii datasets demonstrate that the proposed TCA method significantly outperforms traditional feature selection techniques and other advanced algorithms in terms of the mean absolute percentage error (MAPE), mean absolute error (MAE), and coefficient of determination (R2). The results show that TCA combined with XGBoost achieves MAPE values of 3.3947% and 4.0059% for the Taiwan and Hawaii datasets, respectively, indicating substantial improvements over existing methods. Additionally, the proposed approach yields better R2 and MAE metrics than existing methods, further demonstrating its effectiveness. This study highlights the potential of TCA in providing reliable and accurate forecasts, thereby supporting strategic planning, infrastructure development, and sustainable growth in the tourism sector. Future research is advised to explore real-time data integration, expanded feature sets, and hybrid modeling approaches to further enhance the capabilities of the proposed framework. [ABSTRACT FROM AUTHOR]

Ga2O3 has received increasing interest for its potential in various applications relating to solar-blind photodetectors. However, attaining a balanced performance with Ga2O3-based photodetectors presents a challenge due to the intrinsic conductive mechanism of Ga2O3 films. In this work, we fabricated amorphous Ga2O3 (a-Ga2O3) metal–semiconductor–metal photodetectors through capacitive coupled plasma assisted magnetron sputtering at room temperature. Substantial enhancement in the responsivity is attained by regulating the capacitance-coupled plasma power during the deposition of a-Ga2O3. The proposed plasma energy generated by capacitive coupled plasma (CCP) effectively improved the disorder of amorphous Ga2O3 films. The results of X-ray photoelectron spectroscopy (XPS) and current-voltage tests demonstrate that the additional plasma introduced during the sputtering effectively adjust the concentration of oxygen vacancy effectively, exhibiting a trade-off effect on the performance of a-Ga2O3 photodetectors. The best overall performance of a-Ga2O3 photodetectors exhibits a high responsivity of 30.59 A/W, a low dark current of 4.18 × 10−11, and a decay time of 0.12 s. Our results demonstrate that the introduction of capacitive coupled plasma during deposition could be a potential approach for modifying the performance of photodetectors. [ABSTRACT FROM AUTHOR]

Phytoncides and aromatherapy scents mainly derive from plant secondary metabolites and are now well known for their health benefits. In this study, we analyzed the chemical composition of the leaf-derived essential oil of Liquidambar formosana (Altingiaceae) using GC-MS; we also investigated the VOCs released from L. formosana leaves and the leaf essential oil at different temperatures by means of headspace gas chromatography–mass spectrometry (HS-GC-MS). Regarding the VOCs of the leaves, monoterpenes predominated the VOCs at both temperatures, mainly comprising sabinene, followed by γ-terpinene, α-terpinene, and α-pinene. The intensity of the leaf VOCs at 50 °C was nearly three times higher than that at 25 °C; the emission of monoterpenes significantly increases at higher environmental temperatures. The VOC emissions of oxygenated monoterpenes from the leaf essential oil increased at higher temperatures (50 °C), especially those of terpinen-4-ol. Our results reveal that HS-GC-MS can be used to conveniently and directly analyze the VOCs emitted from L. formosana leaves and their essential oils and to evaluate the influence of temperature on the composition of the VOCs of specimens. These VOC studies will assist in the sustainable development and utilization of L. formosana trees for forest therapy, as well as the use of their leaf essential oil for aromatherapy. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has led to an unprecedented shift towards online learning, compelling university students worldwide to engage in self-directed learning within remote environments. Despite the increasing importance of online education, the factors driving students' motivation for self-directed online learning, particularly those involving economic incentives, have not been thoroughly explored. This study aims to address this gap by analyzing large-scale data collected from 19,023 university students across China during the pandemic. Using mixed Bayesian networks and multigroup structural equation modeling, the study explores the complex relationships between personal characteristics, academic characteristics, the academic environment, and students' motivation for self-directed online learning. The results reveal significant associations between online self-directed learning motivation and personal characteristics. such as gender and age, academic characteristics, such as education level and learning incentives, and the geographic location of the school within the academic environment. Moreover, the causal relationship between school location and online self-directed learning motivation varies by gender and educational level. This research not only provides new empirical support for the theoretical framework of online learning motivation but also contributes to the broader fields of educational psychology and online learning research. [ABSTRACT FROM AUTHOR]

Embodied design is a theory-to-practice and pedagogical framework and emphasizes the role of embodied and situated activity. Since embodiment has a powerful impact on young children's learning, implementing embodied deign in kindergartens is essential and beneficial to their future mathematical learning and performance. Therefore, this qualitative study aimed to develop a professional learning community composed of eight kindergarten teachers and university teacher educators (researchers) and to co-construct a professional development model for curriculum design and instructional implementation of embodied design in mathematics. Accordingly, the main research objectives were to obtain a sustainable professional development model and summarize principles of embodied mathematics curriculum design and strategies for embodied instructional activities, which can be used both in practical settings (i.e., kindergarten and preschool) and early childhood teacher education programs in higher education. Data were gathered through participative observations, including PD meetings and classroom observations, in-depth and follow-up interviews, teachers' lesson design and reflection notes, and children's learning profiles, and then were analyzed qualitatively using a descriptive and explanatory approach with replication logic. Based on the data collection and analysis, two major sections of the findings and discussion were included in this report, which were as follows: first, a sustainable "task design professional development model" was generated for collaboratively future improvements of both in-service and pre-service teacher training programs in higher education; second, two principles of embodied mathematics curriculum design and two effective embodied teaching strategies were proposed to promote kindergarten teachers' professional knowledge and capabilities and their young children's mathematics learning capabilities. [ABSTRACT FROM AUTHOR]

Bone regrowth commonly occurs following lumbar decompression surgery. Although it is rare for neurological symptoms to occur due to bone regrowth, this study describes two patients who underwent both decompression and fusion surgeries but experienced spinal canal restenosisthat was severe enough to induce neurological symptoms. A 32-year-old man underwent posterior decompression and posterior lumbar interbody fusion for lumbar canal stenosis at the L4/L5 level 5 years prior. However, the sudden onset of lower back pain occurred 5 years later. Bone overgrowth on the left side was observed at the L4/L5 level. A second surgery was performed, and the patient's symptoms improved significantly. In the second case, a 56-year-old man underwent posterior decompression and posterior lumbar fusion at the L3/L4 and L4/L5 levels for an L4 burst fracture. One month later, he complained of lower back pain and underwent a second posterior decompression surgery. One year later, he presented to an outpatient clinic with lower back pain and neurological symptoms. Bone overgrowth was observed on both sides at the L4/L5 level. Thus, screw removal and laminectomy at the L3, L4, and L5 levels were performed as a third surgery. This study discusses the factors affecting bone regrowth and the methods that can be used to prevent it. [ABSTRACT FROM AUTHOR]