Miracle-dz/UniFAR-FTUs huggingface dataset:
Key Viewpoint of Cryospheric Human-sociology: Function and Key Viewpoint of Cryospheric Human-sociology: Function and Service Service

Abstract The cryosphere is closely related to human society. As a result of climate warming and corresponding cryosphere shrinkage, the cryosphere functions (CFs) and their associated services and hazards are undergoing profound changes. On the one hand, the cryosphere hazards become more and more frequent with heavily extreme events; on the other hand, the overall cryospheric service (CS) capacity has been deteriorating and would continue or be eventually lost. This article introduced the concepts of CFs, CSs, and their value on the basis of summarizing the human and social characteristics of the cryosphere and its affected areas. Then, taking the importance of world's "water towers" and changes in polar systems as examples, we illustrated the changes in CSs and their impact. Finally, the resilient pathway of cryosphere-affected socio-ecological systems was further discussed.
Self-Heating Mapping of the Experimental Device and Its Optimization in Advance Sub-5 nm Node Junctionless Multi-Nanowire FETs

The junctionless multi-nanowire (JL-MNW) gate-all-around (GAA) field-effect transistor (FET) has become an emerging device in the advanced node of modern semiconductor devices because of its inherent operational mechanism properties. Therefore, in this paper, the Sentaurus TCAD simulator is calibrated with a compact thermal conductivity model using experimentally measured I-V characteristic data of JL-MNW GAA FET and electro-thermal characteristics of the experimental device are mapped into the contour plots. The non-uniform lattice temperature distribution is observed in an experimental device, and the change of peak lattice temperature <inline-formula> <tex-math notation="LaTeX">$(\Delta \text{T}~_{\mathrm{ L,\,max}}$ </tex-math></inline-formula>) is linearly increased with DC power. Further, in the sub-5nm technology node, the self-heating effect (SHE) is analyzed with variations of device active areas, such as vertical nanowire stacking and poly gate thickness (TP) between two nanowires in a DC operation. This work reveals that the device’s physical parameter variation affects overall performance in sub-5 nm technology nodes, such as ON-current (ION) degradation and delay time. But its thermal reliability is better than the inversion mode GAA FET, such as the peak of lattice temperature (T <inline-formula> <tex-math notation="LaTeX">$_{\mathrm{ L,\,max}}$ </tex-math></inline-formula>) and thermal resistance (RTH). These are extensively investigated using the Figure of Merit (FoM). Furthermore, the thermal reliability of the experimental device and advanced node JL-MNW GAA FETs are also analyzed in terms of hot carrier injection (HCI) lifetime and bias temperature instability (BTI) lifetime degradation with respect to the <inline-formula> <tex-math notation="LaTeX">$\text{T}_{\mathrm{ L,max}}$ </tex-math></inline-formula> and TP. Considering these results, the junctionless device is expected to be an attractive candidate to improve the performance and reliability in advanced nodes simultaneously.
Associations between the Perceived Importance of Physical Education and Group Cohesion in Sec-ondary School Students

Physical Education (PE) is seen as knowledge in practice, that is, knowledge acquired through active participation in social practices. The aim of this study is to know the association between the importance of Physical Education and group cohesion in Secondary Education students, analyzing the possible differences according to the gender. 310 students from Extremadura answered three sociodemographic questions, in addition to two other instruments: the Importance of Physical Education scale, consisting of 3 questions, and the Group Cohesion Evaluation Questionnaire, consisting of 9 questions. The Kolmogorov-Smirnov test was used to determine the assumption of normality. Finally, nonparametric tests were chosen because this assumption was not met. In this sense, the Mann-Whitney U test was used to examine gender and Spearman's Rho test was used to analyze the association between each of the instruments and gender. Reliability was assessed using Cronbach's alpha. Some statistical differences were observed between men and women. In addition, these differences may be due to the motivation that students have in the realization of sports practice, therefore, it would be interesting to develop future lines of research. Keywords: Physical Education; importance of Physical Education, group cohesion, secondary education; gender; motivation.
Effect of wax separation on macro‐ and micro‐elements, phenolic compounds, pesticide residues, and toxic elements in propolis

Abstract Propolis, a natural product with many biological activities, is a resinous material produced by honeybees. It contains not only valuable components but also some possible contaminants in varying amounts. Hence, this study aimed to examine how the process step of wax separation affects certain elements, pesticide residues, and phenolic compounds in propolis. Total phenolics, elements, and some pesticide residues were analyzed in the crude propolis (CP samples), wax portion (W samples), and remaining propolis fraction (PF samples) after wax separation. Total phenolics of the CP samples were determined in the range of 31.90–45.00 mg GAE g−1 sample, while those of the PF samples were in the range of 54.97–162.09 mg GAE g−1 sample. Loss/reduction values by means of wax separation for phenolics were calculated as 10.88% and 17.89%, respectively. Pb contents of all PF samples were low (0.232–1.520 mg kg−1), but it was also noteworthy that nearly 40% or even more of Cr, As, Cd, and Pb were removed by wax separation. Removal of significant amounts of carbendazim (38.09%–67.35%), metalaxyl (81.57%–72.67%), tebuconazole (65.99%–78.36%), and propargite (88.46%–83.05%) was also achieved. Wax separation enables the removal of toxic substances from crude propolis without causing huge losses in phenolic compounds.
Understanding the factors of mobile payment continuance intention: empirical test in Saudi Arabia

Purpose: The objective of this study is to explore the determinants of individuals' intentions to continue utilize mobile payment services by examining integrated model of the constructs of the Technology Acceptance Model (TAM) (perceived ease of use and perceived usefulness) and the Theory of Planned Behavior (TPB) (attitude, subjective norm, and perceived behavioral control). Furthermore, the study investigates the relationship between user satisfaction and their intention to persist in using mobile payment. Methodology: In this quantitative investigation, a sample of 474 mobile e-wallet users was surveyed online. Partial least squares structural equation modeling was employed for data analysis. Findings: The study reveals that the constructs from the Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and user satisfaction collectively influence users' intentions to use e-wallet services. Notably, the model demonstrates its ability to elucidate 59.1% of the variance in behavioral intention to continue utilizing e-wallets. Additionally, both user satisfaction and perceived behavioral control significantly impact the decision to persist in using e-wallets. The insights gleaned from this study can be leveraged by e-wallet stakeholders to inform strategic decisions within the e-wallet ecosystem. Practical implications: The inclusion of TAM and TPB constructs enhances our understanding of e-wallet service utilization. These findings offer valuable insights for service providers, enabling them to tailor their marketing strategies more effectively, thereby ensuring customer satisfaction and continued e-wallet usage. Originality: This study introduces a comprehensive and integrative approach to elucidate the factors influencing the sustained use of e-wallet services. By amalgamating two foundational adoptions above theories, it extends our understanding of mobile payment adoption dynamics.
Analysis of Solar Activities and Changes

Solar activities have obvious effects on earth's climate.Many scientists have studied the relationship between solar activities and climate change,and a lot of papers have been published in this field.The relative sunspot numbers is an important factor in the research of solar activities. Wavelet transform is a fine method to analyze time serials periods.By using different data,the periods are different.In the past time,many scholars had analyzed solar activities by others statistical methods,found that changes of solar activity have periods of 5～6 years,11 years,22 years,80～100 years,and so on.The periods are so disunity that they can't be better used to forecast change trend of solar activities.In this paper,being applied to analysis of solar activities,the wavelet transform method was introduced to analyze periods change,and found some meaningful results.The relative sunspot numbers change with periods of 10.7 year and 101 year.The 10.7 year period is remarkable, and it's amplitude varies with time.In 1935 to 2000,the amplitude of 10.7 year period are especially distinct.The solar activities exist strong or weak phases.Abrupt change occurred in 1950 year,and solar activities became stronger since 1950.It is predicled that the solar activity will be weaker in the near future.
LIM-CD: A LARGE-SCALE REMOTE SENSING CHANGE DETECTION DATASET FOR INCREMENTAL MONITORING

Abstract. In this paper, we introduce a new large-scale change detection dataset called LIM-CD, designed for training and evaluating change detection algorithms on high resolution remote sensing images. The dataset currently consists of 9,259 images with labels covering six construction land use change types (i.e., residential land, industrial land, commercial land, public facilities, transportation land, and special land). The image annotations contain not only newly added regions of construction land as change annotations but also auxiliary information about construction land present in pre-change image (image T1), which serves as secondary annotations. These annotations offer crucial information for incremental monitoring applications. The remote sensing images are carefully selected to cover a broad range of imaging variations, including different image sources, years, backgrounds, and terrain. Additionally, we have provided comprehensive metadata labels, which can serve as additional features to aid model training and optimization. To establish a baseline for future algorithm development, we applied seven widely used and state-of-the-art change detection algorithms to the LIM-CD dataset. We are confident that our dataset can serve as a valuable resource for the research community, enabling the development of more accurate and robust change detection models. More information about the project can be found at https://github.com/xiaoxiangAQ/LIM-CD-dataset.
Climate Feedbacks in DICE-2013R - Modeling and Empirical Results

Climate feedback mechanisms that have the potential to intensify global warming have been omitted almost completely in the integrated assessment of climate change and the economy so far. With the present paper we try to narrow this gap in literature. We discuss different types of feedback mechanisms and show how to incorporate them into the mathematical setup of the well-known integrated assessment model DICE-2013R. Subsequently, we choose the permafrost carbon feedback (PCF) as specific application for an empirical analysis. We calibrate the parameters for our modified version of the DICE-2013R model and compute the optimal emission mitigation rates that maximize welfare accounting for the impact of the PCF. Finally, we quantify the economic losses resulting from a mitigation policy which ignores this feedback mechanism. Our empirical results generally indicate that accounting for the PCF leads to an increase in the optimal mitigation rates.
Prevalence and relationship between falls, frailty phenotype and physical activity in centenarians: a pilot study

The objective of this study was to associate the occurrence of falls with the frailty phenotype and physical activity (PA) in centenarians. Population-based descriptive study carried out in the state of Santa Catarina, Brazil, which included 54 centenarians (101.8 ± 2.8 years), 34 women and 20 men. To assess PA, centenarians wore a pedometer for 7 days of a typical week. The occurrence of falls was confirmed by self-report and frailty phenotype using the criteria proposed by Fried et al. (2001). All assessments were carried out following the Multidimensional Assessment Protocol for the Centennial Elderly, applied through interviews. The chi-square test with adjusted standardized residuals was used to evaluate the association between the occurrence of falls and frailty and AF, adopting a significance level of 5%. The prevalence of frailty in the sample was 53.7%. The majority of centenarians did not do PA (66.7%) and did not suffer a fall in the last 12 months (68.5%). The average number of weekly steps was higher among fallers (1,796.1 steps/week) when compared to non-fallers (797.4 min/week) (p=0.019). There was a significant association between falls and frailty (p=0.03), with fallers tending to be frail. The occurrence of falls was also associated with AF (p=0.014), with fallers tending to be physically active. Concluding that centenarians with falls in the last 12 months showed a tendency to frailty and a higher level of PA. The results demonstrate the importance of monitoring frailty in this population and of PA interventions that aim to reduce the factors causing this condition.
Influence of some environmental factors on maize productivity in Osun state, Nigeria

Temperature, humidity and direction of the prevailing wind are parts of significant environmental factors, which have greater impact on crop productivity, especially with the recent global climate change. These were researched into on maize seeds planted at three different furrow orientations on the field; Or. 90 0 , Or. 60 0 and Or. 30 0 to direction of the prevailing wind on the same plot of land at three replicates A, B and C each. Temperature and humidity were measured at 8.00hr, 10.00hr for morning; 14.00h and 16.00h for afternoon each day. Temperature-Humidity Index-THI was calculated using THI equation. Leaf development was measured in terms of broadness, stem girth, length and number of leaves. Harvest Index, HI and Leaf Area Index, LAI were also calculated. The result shows that at significant level (p 0.05) effect of orientation on THI was not observed. The Or. 90 0 had highest HI of maize and better growth. The LAI values show that Or. 90 0 had higher LAI (0.775), than that of Or. 60 0 of value (0.770), between 40th and 70th days. It was found out that orientation of furrow of maize crops to direction of the prevailing is a function of the environmental parameters such as temperature, humidity, and the closer the orientation of furrow slice for crop leaves is towards the 90 0 wind direction, the better its growth and yield. Key Words: Crop productivity, Leaf Area Index, Temperature-Humidity Index, orientation, Osun State
Enterprise DoD Architecture Framework and the Motivational View

I n performing any modernization task, there are typically four questions that must be answered: " Where am I now; what is my current as-is architecture? " " Where do I need to be; what is my target to-be architecture? " " What is the gap or differences between the two? " and " How do I get to the to-be state; what is the transition plan? " This article describes a hybrid approach to answering these questions by using a subset of the existing Department of Defense (DoD) Architecture Framework (DoDAF) [1] views and adding an additional view to capture all the important and missing business, financial , and technical analysis information. This extension to the DoDAF is defined as the Motivational View (MV). An enterprise's competitive edge and ultimate success are enabled by its ability to rapidly respond to changing business strategies, governances, and technologies. The DoD environment spells this competitive edge as victory. The competitive edge translates into higher levels of customer satisfaction, shorter work cycles, and reductions in schedules, maintenance costs, and development time, all resulting in lower overall costs of ownership. Enterprise architecture is the key facilitating ingredient providing a holistic view and a mechanism for enabling the design and development as well as the communication and understanding of the enterprise. The overarching goals of enterprise architecture are to manage the complexity of the enterprise, align business strategies and implementations, and facilitate rapid change in order to maintain business and technical advantages. Lockheed Martin's view of an enterprise is a collection of business systems that control and manage the enterprise's functional areas. Enterprise architecture describes these systems in terms of their behaviors, methods of communications, and constraints. Enterprise architecture enables the high-level prospective and views needed to transform as-is legacy systems of dis-parate stovepipe applications into the to-be set of modernized, agile, and integrated business processes. Lockheed Martin starts its enterprise architecture documentation by using a subset of the existing DoDAF views. Enterprise architecture is documented as an organized collection of information in three divisions: driving strategies, baseline, and transition plan. The driving strategies depict goals and objectives and show the way forward, indicating where the enterprise needs to go based on business drivers , policies, rules and regulations, and advancing technology. This provides the to-be target model. The baseline is the current, as-is enterprise architecture documented in graphical models and text describing the current …
TMT-Based Proteomics Analysis Revealed the Protein Changes in Perirenal Fat from Obese Rabbits

Obesity has become increasingly prevalent in recent years, and there is a need for a deeper understanding of the complex pathogenesis underlying the obesity condition. Therefore, the objective of this study was to investigate how a high-fat diet (HFD) affects protein expression in a female-rabbit model compared to a standard normal-diet group (SND), to gain comprehensive insights into the molecular mechanisms involved in obesity. To achieve this objective, a tandem mass tag (TMT)-based quantitative proteomics analysis was conducted to examine the molecular changes occurring in the white adipose tissue (WAT) from the HFD and SND groups. The sequencing results identified a total of 4215 proteins, among which 151 proteins exhibited significant differential expression. Specifically, there were 85 upregulated proteins and 66 downregulated proteins in the HFD group compared to the SND group. Further analysis of these differentially expressed proteins (DEPs) revealed their involvement in crucial biological processes, including energy metabolism, hormonal regulation, and inflammatory response. In conclusion, this study sheds light on the impact of HFD on protein expression in a female-rabbit model, providing new insights into the molecular mechanisms underlying obesity and the associated metabolic disorders.
Unraveling Epigenetic Interplay between Inflammation, Thrombosis, and Immune-Related Disorders through a Network Meta-analysis

Inflammation and thrombosis are two distinct yet interdependent physiological processes. The inflammation results in the activation of the coagulation system that directs the immune system and its activation, resulting in the initiation of the pathophysiology of thrombosis, a process termed immune-thrombosis. Still, the shared underlying molecular mechanism related to the immune system and coagulation has not yet been explored extensively. Inspired to answer this, we carried out a comprehensive gene expression meta-analysis using publicly available datasets of four diseases, including venous thrombosis, systemic lupus erythematosus, rheumatoid arthritis, and inflammatory bowel disease. A total of 609 differentially expressed genes (DEGs) shared by all four datasets were identified based on the combined effect size approach. The pathway enrichment analysis of the DEGs showed enrichment of various epigenetic pathways such as histone-modifying enzymes, posttranslational protein modification, chromatin organization, chromatin-modifying enzymes, HATs acetylate proteins. Network-based protein–protein interaction analysis showed epigenetic enzyme coding genes dominating among the top hub genes. The miRNA-interacting partner of the top 10 hub genes was determined. The predomination of epitranscriptomics regulation opens a layout for the meta-analysis of miRNA datasets of the same four diseases. We identified 30 DEmiRs shared by these diseases. There were 9 common DEmiRs selected from the list of miRNA-interacting partners of top 10 hub genes and shared significant DEmiRs from microRNAs dataset acquisition. These common DEmiRs were found to regulate genes involved in epigenetic modulation and indicate a promising epigenetic aspect that needs to be explored for future molecular studies in the context of immunothrombosis and inflammatory disease.
Exploiting a Spatial Attention Mechanism for Improved Depth Completion and Feature Fusion in Novel View Synthesis

Many image-based rendering (IBR) methods rely on depth estimates obtained from structured light or time-of-flight depth sensors to synthesize novel views from sparse camera networks. However, these estimates often contain missing or noisy regions, resulting in an incorrect mapping between source and target views. This situation makes the fusion process more challenging, as the visual information is misaligned, inconsistent, or missing. In this work, we first implement a lightweight network based on the transformer, which is well-known for its capability to model long-range relationships within input data, to extract spatial features from color images. These features are then used to enhance the quality of completed depth maps. Furthermore, we combine a sequential deep neural network with a spatial attention mechanism to effectively fuse the projected features from multiple source viewpoints. This approach enables us to integrate information from an arbitrary number of source viewpoints as well as improve accuracy in synthesized views. Experimental results on challenging datasets demonstrate that our method achieves superior synthesized image quality compared to state-of-the-art (SOTA) methods.
The Effectiveness of Sociology Teaching Books Based on Local Wisdom as an Effort to Strengthen Student Character

This study aims to describe the effectiveness of sociology textbooks based on local wisdom to strengthen student character and factors that influence the effectiveness of sociology textbooks based on local knowledge to enhance student character. This study uses a descriptive qualitative approach. Data were collected using interviews, observation, and documentation and analyzed using qualitative analysis. The results of the survey show that: 1) Sociology textbooks based on local wisdom are effective as an effort to strengthen student character because the local knowledge integrated into the textbook is used by teachers not only to make it easier to understand the contents of the book or the substance of the material but also to strengthen character. This can be seen from the textbooks' descriptions, illustrations, and questions, which aim to lead students' opinions on character values, including religious, creative, and caring environmental characters that can be rewritten in everyday life. 2) Factors that influence the effectiveness of sociology textbooks based on local wisdom as an effort to strengthen student character include teacher factors and the availability of facilities. The teacher's factor is related to the mastery of the material and the use of innovative learning methods. The facility factor is associated with the availability of sociology textbooks based on local wisdom for teachers and students.