Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Sleep Quality on Anxiety and Depression Symptoms among College Students in China’s Xizang Region: The Mediating Effect of Cognitive Emotion Regulation

Background: While the exact mechanisms are not fully understood, there are significant links between sleep quality, anxiety, depressive symptoms, and cognitive emotion regulation. This research examines how sleep quality affects anxiety and depressive symptoms, as well as the potential of cognitive emotion regulation strategies (CERS) to moderate the impact of sleep quality on these symptoms. Methods: The Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), the Cognitive Emotion Regulation Questionnaire (CERQ), the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder Scale-7 (GAD-7) were all completed online by students from two colleges in China’s Xizang region. Results: The study included 4325 subjects. The prevalence of poor sleep quality, anxiety symptoms, and depression symptoms was 45.69%, 36.81%, and 51.86%, respectively. We observed significant direct effects on poor sleep and severity of anxiety/depression: c’1 = 0.586 (0. 544–0.628), and c’2 = 0.728 (0.683–0.773). Adaptive CERS only had a mediating effect on the relationship between sleep quality and depression symptoms, with a1b3 = −0.005 (−0.011–−0.001). The link between poor sleep quality and the intensity of anxiety and depression was significantly affected by the indirect effects of maladaptive CERS: effect a2b2 = 0.126 (0.106–0.147), and effect a2b4 = 0.145 (0.123–0.167). Conclusions: Individuals who experience poor sleep quality are more likely to have increased levels of anxiety and depression. However, enhancing sleep quality led to a decrease in anxiety and depression levels. Adaptive CERS did not predict anxiety, but they did predict depression. Multiple maladaptive CERS could increase levels of anxiety and depression. To prevent mental stress, it is crucial to examine sleep problems among college students, understand their cognitive strategies, promote the adoption of adaptive CERS, and reduce the reliance on maladaptive CERS.
Recent Advances in the Selection and Use of Drilled Foundations

The construction and design of drilled foundations in recent years has been most significantly affected by developments in drilling techniques related to materials, equipment, and generally improved capabilities in construction. In addition, advancements in technology for testing and QC/QA have resulted in improvements in performance, reliability and design. This paper describes some of the most significant developments affecting drilled foundations, including large diameter drilled shafts, continuous flight auger piles, drilled displacement piles, and small diameter micropiles.
Stock assessment of protogynous fish: evaluating measures of spawning biomass used to estimate biological reference points

In stock assessments, recruitment is typically modeled as a function of females only. For protogynous stocks, however, disproportionate fishing on males increases the possibility of reduced fertilization rates. To incorporate the importance of males in protogynous stocks, assessment models have been used to predict recruitment not just from female spawning biomass (Sf), but also from that of males (Sm) or both sexes (Sb). We conducted a simulation study to evaluate the ability of these three measures to estimate biological reference points used in fishery management. Of the three, Sf provides best estimates if the potential for decreased fertilization is weak, whereas Sm is best only if the potential is very strong. In general, Sb estimates the true reference points most closely, which indicates that if the potential for decreased fertilization is moderate or unknown, Sb should be used in assessments of protogynous stocks. Moreover, for a broad range of scenarios, relative errors from Sf and Sb occur in opposite directions, indicating that estimates from these measures could be used to bound uncertainty.
Guanylate cyclase-C Signaling Axis as a theragnostic target in colorectal cancer: a systematic review of literature

Introduction Colorectal cancer (CRC) is a devastating disease that affects millions of people worldwide. Recent research has highlighted the crucial role of the guanylate cyclase-C (GC-C) signaling axis in CRC, from the early stages of tumorigenesis to disease progression. GC-C is activated by endogenous peptides guanylin (GU) and uroguanylin (UG), which are critical in maintaining intestinal fluid homeostasis. However, it has been found that these peptides may also contribute to the development of CRC. This systematic review focuses on the latest research on the GC-C signaling axis in CRC. Methods According to the aim of the study, a systematic literature search was conducted on Medline and PubMed databases. Ultimately, a total of 40 articles were gathered for the systematic review. Results Our systematic literature search revealed that alterations in GC-C signaling compartments in CRC tissue have demonstrated potential as diagnostic, prognostic, and therapeutic markers. This research highlights a potential treatment for CRC by targeting the GC-C signaling axis. Promising results from recent studies have explored the use of this signaling axis to develop new vaccines and chimeric antigen receptors that may be used in future clinical trials. Conclusion The findings presented in this review provide compelling evidence that targeting the GC-C signaling axis may be an advantageous approach for treating CRC.
Towards Building a More Diverse, Equitable, and Inclusive Society: Interactive Sessions with the HFES Csouncil of Affinity Group (COAG) Leads

Human Factors and Ergonomics (HF/E) professionals, as part of their job, are required to consider the differences and varying perspectives of their human stakeholders (e.g., users, customers, teammates, sponsors). Beyond the performance of purely HF/E methodologies, practicing empathy and engaging with affinity groups (AGs) are recognized methods for researchers, designers, engineers, or product managers to achieve such understanding. In this two-part panel, the leaders of AGs and of the Council of Affinity Group (COAG) of the Human Factors and Ergonomics Society (HFES) will engage with the audience in conversational and interactive sessions aimed at both discussing and practicing empathy and engagement with community groups including AGs. The first session will be focused on experiential learning through interactive exercises. The second session will be reflective in nature and oriented toward follow-on actions and behavior change within and outside HFES. The sessions are expected to promote DEI in our HFES community and beyond. Discussion time: Two sessions (90 minutes each), one at the beginning of the conference and the second toward the end of the conference.
SynerFill: A Synergistic RGB-D Image Inpainting Network via Fast Fourier Convolutions

Map inpainting is an important technology in the production of maps for autonomous driving vehicles. In recent years, scholars have often used methods such as point cloud inpainting, RGB image inpainting, and depth inpainting to repair maps. However, these methods require high computational power and result in longer algorithmic processing times. To address this issue, we propose SynerFill, a synergistic RGB-D images inpainting method that can simultaneously inpaint RGB and depth images. We design its network architecture and loss functions, which include a generator, an RGB image discriminator, a depth image discriminator, and an edge image discriminator. Second, we collect real-world data and build a large-scale, multi-scene, multi-weather dataset called the Synthetic City RGB-D (SCRGB-D) Dataset based on 3ds Max, CARLA, and Unreal Engine 4. To verify SynerFill, we conduct experiments on the SCRGB-D dataset, DynaFill dataset, and SceneNet dataset. The experimental results show that SynerFill achieves state-of-the-art (SOTA) performance.
The anatomy of the Arctic Frontal Zone in the Greenland Sea

From a series of two-dimensional expendable bathythermograph (XBT) surveys, conductivity-temperature-depth (CTD) sections, surface drifters, and acoustic Doppler current profiler (ADCP) observations, the properties and structure of the Arctic Frontal Zone in the Greenland Sea have been determined. The Arctic Frontal Zone appears to be a large-scale, climatic “multifrontal” frontal zone. The structure of the frontal zone can be discerned from subsurface as well as from surface hydrographic parameters, even in summer, when a seasonal thermocline covers the subsurface hydrographie structure. The Arctic Frontal Zone consists of two semipermanent frontal interfaces with warm, saline Norwegian Atlantic Water to the east and Arctic Water from the Greenland Sea gyre to the west. The two frontal interfaces are bounding a band of shallow cyclonic cold eddies and anticyclonic warm eddies with horizontal scales of the order of 40–50 km. The typical diameter of the eddies can be scaled with the local internal Rossby radius of deformation. The eddy kinetic energy of the surface flow in the frontal zone is of the order of 60 to 85 cm2 s−2. The zonal density gradient in the Arctic Frontal Zone maintains a mean northward geostrophic transport of 3.8 Sv, averaged over a number of cruises. This transport is mainly connected with the frontal interface on the western side of the warm and saline Norwegian Atlantic Water. The estimated cross-frontal eddy transports of heat and salt appear to be of considerable importance for the conditioning of the Greenland Sea gyre.
Bilateral absence of musculocutaneous nerve with unusual communicating branch between radial and ulnar nerves

Introduction Median nerve (MN) and musculocutaneous nerve (MCN) are both terminal branches of the brachial plexus. Median nerve is formed by the union of lateral and medial roots from lateral and medial cord of brachial plexus. It then courses downwards in front of the arm; crosses the brachial artery from lateral to the medial side and finally enters the forearm by crossing the elbow joint. Usually MN does not give muscular branches in the arm, except one of the forearm muscles, pronator teres whose nerve arises from the MN before the nerve crosses the elbow [1]. MCN is a mixed peripheral nerve arising from the lateral cord of the brachial plexus in the axilla [2]. The MCN usually supplies the coracobrachialis, biceps brachii, and the brachialis muscles in the anterior compartment of the upper arm and then continues as the lateral cutaneous nerve of the forearm (LCNF) [3]. MCN has frequent variations and they were discussed in detail even in very early articles. It may be doubled, unusually short, or even absent [4]. Variations of the MCN may occur in 6.25% of cases and its absence has been reported with a prevalence ranging from 1.7 to 15% [5]. According to Tountas and Bergman [6], the MCN arises from the lateral cord (90.5%), from the lateral and posterior cord (4%), from the MN (2%), as two separate bundles from the medial and lateral cords (1.4%), or from the posterior cords (1.4%) [6]. Variations of the brachial plexus have significant clinical and surgical importance [7]. The frequencies and classifications of brachial plexus variations have been reported by other authors. It should be noted that the brachial plexus is the most variable part of the peripheral nervous system. The prevalence of all variations of brachial plexus ranges from 12.8 up to 53% [5]. The aim of the present study is to report the bilateral absence of MCN and the variant innervation of the flexor muscles of arm and the skin of lateral side of forearm from MN.
Serum Creatinine and Amylase in Drain to Predict Pancreatic Fistula Risk after Pancreatoduodenectomy

Introduction: The identification of patients with low risk of clinically relevant postoperative pancreatic fistula (CR-POPF) and postoperative hemorrhage (PPH) can guide drain removal after pancreatoduodenectomy (PD). However, drain fluid amylase (DFA) ≤5,000 U/L on postoperative day (POD) 1 does not robustly predict the absence of CR-POPF. Methods: Consecutive patients undergoing PD at Sun Yat-sen University Cancer Center between July 2018 and October 2021 were analyzed. Recursive partitioning analysis was used to classify patients into groups with different risks of CR-POPF and PPH. Results: Among 288 consecutive patients included, 99 patients (34.38%) developed CR-POPF (86 grade B and 13 grade C). Patients with CR-POPF had increased levels of preoperative creatinine (CRE) and POD1 CRE. The combination of POD1 CRE (>104 μmol/L or not) and POD1 DFA (>5,000 U/L or not) stratified patients into subgroups with the maximum difference in CR-POPF risk. The CR-POPF rates were 17.82% (36/202) in group A (POD1 CRE ≤104 μmol/L and POD1 DFA ≤5,000 U/L), 53.33% (8/15) in group B (POD1 CRE >104 μmol/L and POD1 DFA ≤5,000 U/L), and 77.46% (55/71) in group C (POD1 DFA >5,000 U/L). The PPH rates were 1.98% (4/202), 20.00% (3/15), and 19.72% (14/71) in groups A, B, and C, respectively. Conclusion: Patients with POD1 DFA ≤5,000 U/L and POD1 CRE >104 μmol/L have a high risk of CR-POPF and may not benefit from early drain removal. Patients with POD1 DFA ≤5,000 U/L and POD1 CRE ≤104 μmol/L have low risk of CR-POPF and PPH.
Preparation of PLGA Nanoparticles Loaded with the Anti-Infective Ctn[15-34] Peptide for Antifungal Application

: This article aims to report the preparation and optimized formulation of Ctn[15-34], a designed anti-infective peptide, with poly(lactic acid-co-glycolic acid), PLGA, nanoparticles. Ctn[15-34] is a short peptide derived from crotalicidin, a cathelicidin-related antimicrobial peptide from the venom of the South American rattlesnake ( Crotalus durissus terrificus ), that has arisen as a promising antifungal and microbicide agent. The PLGA nanoparticles were prepared and loaded with carboxyfluorescein (CF)-Ctn[15-34] using the double emulsion/solvent evaporation method. After a preformulation study, which tested different formulation parameters, Poly (vinyl alcohol) 87-89% hydrolyzed and sonication with Sonifier® were choosen to prepare unloaded PLGA nanoparticles by that method, resulting in smaller particle size and Polydispersity Index (PDI) values and higher zeta potential values of nanoparticles. This better condition was used to prepare CF-Ctn[15-34]-loaded PLGA nanoparticles, resulting in homogeneous and spherical nanoparticles, with an average size of 213.2 ± 2.00 nm, PDI of 0.044 ± 0.04 and zeta potential of -16.03 ± 1.20 mV. An excellent encapsulation efficiency was obtained, corresponding to 93.3 ± 0.10 %. The drug-release profile showed a rapid initial release of the peptide, approximately 27 % in the first 24 hours, followed by a sustained HIGHLIGHTS
TOWARDS A CONTEXT-DRIVEN TRANSACTIONAL SERVICE SELECTION MECHANISM IN UBIQUITOUS AND PERVASIVE ENVIRONMENTS

Most prominent techniques and selection algorithms only support QoS settings for application services. However, the software, hardware, and network infrastructures underlying services and users application have a significant impact on the validation of transactional services. Additionally, users may have varying transactional requirements throughout the lifecycle of a service composition. Therefore, selection algorithms must take into account the context requirements and users transactional needs when selecting services. This has led us to explore the trail of a service selection mechanism based on a service description enriched by functional and transactional requirements, and context information. We propose a context-driven selection of transactional services by introducing a new selection algorithm CT2S based on a semantic matching mechanism. More precisely, we are interested in studying the response time of our CT2S algorithm vis-a-vis the rapidity requirements in pervasive environments.
Innovation in Local Products as a Tourist Attraction in East Nusa Tenggara Province

Tourism as one of the priority programs of the NTT government continues to strive to improve services and diversify tourism products, one of which is local-based products which are a tourism attraction for tourists who are looking for souvenirs as gifts when finished traveling. The application of innovation is a way that must be taken to keep the tourism business away from competition between tourism businesses, threats of unattractive products and failure to face tourism business obstacles. This research was conducted using a qualitative approach to the creative industries of Kupang City which are engaged in the business of native NTT products that are sold to tourism destinations as souvenirs. The results of this study indicate that the application of innovation that has been carried out is divided into 5 namely: product innovation, process innovation, managerial innovation, management innovation, and institutional innovation. Of the 2 innovation models, process innovation and product innovation are the innovations most often carried out to market locally based products. Keywords: Tourism Innovation, Tourism Products, Local Souvenirs, Creative Industries
The Correlation Between the Cumulative Illness Rating Scale and the Knee Injury and Osteoarthritis Outcome Score in Knee Osteoarthritis Patients

Objective: This research aimed to explore the correlation between Cumulative Illness Rating Scale (CIRS) and physical disability among individuals suffering from symptomatic knee osteoarthritis (OA). Materials and Methods: In this cross-sectional study, 89 individuals diagnosed with knee OA were enrolled. The severity of OA was assessed radiologically using the Kellgren–Lawrence staging method. The Knee Injury and OA Outcome Score was utilized to assess pain intensity, symptoms, daily functional capacity, engagement in sports/recreation, and knee-related quality of life (QoL). The CIRS scores for all participants were calculated by the same researcher. Throughout this process, both the Kellgren–Lawrence staging and CIRS calculations were overseen by the same researcher to maintain consistency. Results: Seventy patients (78.7%) were female. 19 were male (21.3%). The mean age was 56.8 years. The mean body mass index was 30.1kg/m². Knee OA was bilateral in 81 patients (91.1%). The radiological severity of knee OA was stage II or III in 73 subjects (82.02 %). The mean Knee Injury and OA Outcome Score pain severity, symptoms, activities of daily living, sport/recreation, and knee-related QoL scores were 55.4, 19.05, 59.8, 34.2, and 54.7, respectively. A significant correlation was observed between CIRS score, and KOOS Symptoms and KOOS QoL (p<0.05). Conclusion: In this study, there was a significant relationship between the number of comorbid diseases of the patients and their knee-related QoL.
Preliminary Research on Large-scale Man-made Linear Features Deformation Monitoring Using Multi-baseline Differential SAR Interferometry

Large-scale Man-made Linear Features(LMLFs),resulting from nature remarking,have played an essential role in physical distribution and energy transportation.Though with a wide extension,those linear features primarily concentrate upon infrastructure field,including dams,bridges,highways,railways,metro-lines and pipes.As the development of spaceborne SAR technology,multi-baseline Differential SAR Interferometry(DInSAR) overcomes the spatial/temporal decorrelation and mitigates atmospheric effects in DInSAR procedures,revealing competent for large-area deformation measurement with millimetric-centimetric accuracy.This technology is capable of achieving temporal evolutions,which is significant for the stability management of observed features.In this paper,the LMLF's deformation phenomena,causes and derivative hazards are firstly described.After that,the multi-baseline DInSAR methods are applied for their ground deformation monitoring.Multi-source SAR data,including ENVISAT ASAR(Guangzhou),PALSAR(Lantau Island,Hong Kong),TerraSAR-X(Shenzhen),are used for experiments,the capabilities of the Permanent Scatterers(PS) method and Coherent Targets(CT) method are analyzed.The results demonstrate that,with different interferometric image pair combinations,the PS method is more suitable for the large number of SAR images because of the applied single reference image strategy,and vice versa.Generally,the wave penetrability and critical normal baseline increase with the wavelength.Therefore,when low coherent regions are encountered,the longer wavelength SAR data,such as L-band ALOS PALSAR,are preferred to generate high quality inteferograms,bringing about robust ground deformation results;in contrast,the short wavelength data are selected for high coherent areas,such as TerraSAR-X and ENVISAT-ASAR,to retrieve deformations with high accuracy.Taking the geometric and scattering characteristics of LMLFs into consideration,four viewpoints including thematic layers and GPS observation data,SAR images selection,PS candidates extraction and model improvement are discussed for deformation monitoring using multi-baseline DInSAR methods.Finally,from the experiments and analysis,one can conclude future works should be carried out especially in LMLF-oriented DInSAR model development.
Modeling and Analyzing Collective Behavior Captured by Many-to-Many Networks

Several significant studies in the existing literature have relied on network models to gain insights into various collective behavior phenomena. Nevertheless, a facet that has been critically overlooked is the presence of numerous irrelevant edges that may obscure a more meaningful underlying topology, representing the targeted phenomenon. In fact, the literature provides ample evidence that overlooking these noisy edges may result in inaccurate and misleading interpretations. Nonetheless, employing these solutions presents various challenges, prominently the absence of foundational formalization regarding the appropriate application and expected outcomes. In this context, our focus centers on extracting salient edges, exploring backbone extraction methods, for the purpose of modeling and analyzing collective behavior. To address the gaps in the current literature regarding the use of such methods for modeling collective behavior, we undertake a comprehensive series of eff orts. These include formalizing, analyzing, discussing, applying, and validating existing methods, many of which are drawn from parallel fields of study to computer science, and finally introducing novel methods to advance the state-of-the-art. We also demonstrate the effectiveness of these methods as fundamental tools for uncovering relevant patterns, applying them across diverse phenomena each with distinct requirements. Our contributions are multifaceted, including innovative methods, case studies yielding specific insights, and a comprehensive methodology for the selection, application, and validation of these methods. Moreover, our outcomes wielded a substantial impact on both the scientific community and society. They not only unveiled numerous opportunities for fellow researchers but also catalyzed the initiation of new and impactful research.