Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical and radiological results of patients with femoral intertrochanteric fractures treated with proximal femoral nailing

The purpose of this study was to assess the long-term clinical, functional, and radiological results of the patients who underwent osteosynthesis of femoral intertrochan- teric fractures using proximal femoral nails (PFNs). The study included forty patients who had PFN osteosynthesis of intertrochanteric fractures between May 2009 and October 2014 and were followed up on for at least 24 months. The average duration of follow-up was 52.6±5.4 months. The patients' clinical, functional, and radiological findings were reviewed retrospectively. The fracture types were determined using the Evans-Jensen classification, and the radiological evaluation was done using Fogag -nolo's reduction quality criteria. Fifteen fractures (37.5%) were stable, while 25 (62.5%) were unstable. The most common complication was varus union (10 percent). In 90% of patients, good and acceptable reduction criteria were met. In functional evaluation, 31 patients (77.5%) received excellent or good HHSs. Because of its advantages such as low bleeding amount, short surgical duration, fast mobilization, and long-term satisfactory functional results, proximal femoral nailing should be considered in the first steps of the treatment algorithm for femoral intertrochanteric fractures.
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization

When solving constrained multiobjective optimization problems (CMOPs), the utilization of infeasible solutions significantly affects algorithm’s performance because they not only maintain diversity but also provide promising search directions. In light of this situation, this article proposes a new multitasking-constrained multiobjective optimization (MTCMO) framework, in which a dynamic auxiliary task is created to assist in solving a complex CMOP (the main task) via the knowledge transfer. Moreover, the constraint boundary of the auxiliary task reduces dynamically, so that it keeps a high relatedness with the main task to continuously provide supplementary evolutionary directions. Furthermore, an improved $\epsilon $ method is designed for the auxiliary task to utilize diverse high-quality infeasible solutions for breaking through infeasible obstacles in the early stage and approaching the feasible boundary from infeasible regions in the later stage. Besides, a new test function with decision space constraints is designed, where one parameter can be adjusted to control the overlap degree between the constrained Pareto front and the unconstrained Pareto front. This function and the other two modified existing functions are used to analyze the characteristics of MTCMO. Finally, compared with 11 state-of-the-art peer methods, the superior or competitive performance of MTCMO is demonstrated on 54 benchmark functions and two real-world applications.
Utilizing NVDIMM to alleviate the I/O performance gap for big data workloads

In this talk, I will present our recent work to utilize NVDIMM (Non-Volatile Dual Inline Memory Module) to bridge the I/O performance gap for big data workloads. Specially, we develop a scheduling scheme in memory controller to minimize the interference between the native and the I/O-derived memory traffic by exploiting both data access criticality and resource utilization. Several mechanisms are designed to better orchestrate traffic between the memory controller and NAND flash to alleviate the speed discrepancy issue. We also propose a proactive GC scheme for the NVDIMM controller and flash controller to intelligently synchronize and transfer data involving in forthcoming GC operations. Our experimental results show that overall the proposed techniques yield 10%∼35% performance improvements over the state-of-the-art baseline schemes.
MG-63 and FetMSC Cell Response on Atomic Layer Deposited TiO2 Nanolayers Prepared Using Titanium Tetrachloride and Tetraisopropoxide

Titanium oxide nanocoatings were synthesized on the surface of monocrystalline silicon and ultra-fine-grained titanium by atomic layer deposition (ALD) using titanium tetrachloride (TiCl4) and titanium tetraisopropoxide (TTIP). The morphology of the samples was studied by scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The structure and composition were studied by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), contact angle measurements, and energy-dispersive spectroscopy (EDS). The cytological response of osteosarcoma MG-63 and human fetal mesenchymal stem cells (FetMSCs) were studied by analyzing their morphology, viability, and alkaline phosphatase activity with and without the use of medium-induced differentiation in the osteogenic direction. A significant influence of the precursor type and ALD temperature on the crystal structure, morphology, composition, and surface free energy of TiO2 nanocoatings was found. The biocompatibility of amorphous non-stoichiometric and partially crystalline stoichiometric TiO2 coatings was compared. Both types of cells showed faster adhesion and improved spreading on the surface for the samples from TTIP compared to those from TiCl4 at the early stages of cultivation (2 h) due to the difference in composition and higher surface free energy. No cytotoxic effect was found on both types of coatings, nor was there a noticeable difference in cell differentiation. All ALD coatings provided excellent biocompatibility and osteoconductive properties.
A Solvothermal Synthesis of the CdS Nanorods Doped with Cr and Investigation of Ferromagnetic and Optical Properties at Room Temperature

Abstract Cr-doped CdS nanorods with room temperature enhanced ferromagnetism have been successfully synthesized by solvothermal reaction. The products were distinctly assigned to the hexagonal phase cadmium sulfide by X-ray diffraction (XRD) measurements. Transmission electron microscopy (TEM) images revealed that the morphologies of CdS doped with different contents chromium were all nanorods. The CdS nanorods morphologies with lengths of 100–350 nm and average diameters of 20–30 nm were almost independent on the quality of introduced chromium. Energy dispersive spectrum (EDS) measurements demonstrated that the synthesized products were consisted of S, Cd and Cr. The vibrating sample magnetometer (VSM) indicated that the Cr-doped CdS nanorods had ferromagnetism at room temperature, while the pure CdS nanorods had weak ferromagnetism. The saturation magnetization Ms of Cr-doped CdS nanorods (Cr = 4.17at%, 7.31at%) was approximately 3.907 and 8.798 (10−3emu/g), respectively. The coercivity of Hc was approximately 96.21, 137.15 Oe. The ferromagnetism of CdS nanorods was associated with Cr substitution in the CdS lattice.
Estimation of Carcass Tissue Composition from the Neck and Shoulder Composition in Growing Blackbelly Male Lambs

This study was designed to develop predictive equations estimating carcass tissue composition in growing Blackbelly male lambs using as predictor variables for tissue composition of wholesale cuts of low economic value (i.e., neck and shoulder). For that, 40 lambs with 29.9 ± 3.18 kg of body weight were slaughtered and then the left half carcasses were weighed and divided in wholesale cuts, which were dissected to record weights of fat, muscle, and bone from leg, loin, neck, rib, and shoulder. Total weights of muscle (CM), bone (CB) and fat (CF) in carcass were recorded by adding the weights of each tissue from cuts. The CM, CF and CB positively correlated (p < 0.05; 0.36 ≤ r ≤ 0.86), from moderate to high, with most of the shoulder tissue components, but it was less evident (p ≤ 0.05; 0.32≤ r ≤0.63) with the neck tissue composition. In fact, CM did not correlate with neck fat and bone weights. Final models explained (p < 0.01) 94, 92 and 88% of the variation observed for CM, CF and CB, respectively. Overall, results showed that prediction of carcass composition from shoulder (shoulder) tissue composition is a viable option over the more accurate method of analyzing the whole carcass.
Full‐scale transition from denitrification to partial denitrification–anammox (PdNA) in deep‐bed filters: Operational strategies for and benefits of PdNA implementation

This study shows for the first time more than 2 years of operation of a mainstream anammox application at full‐scale under temperate climate. This implementation of partial denitrification–anammox (PdNA) in deep bed filters at the HRSD York River treatment plant was demonstrated to achieve the benefits of shortcut nitrogen removal without nitrite oxidizing bacteria (NOB) out‐selection. The transition from denitrification to PdNA filters required bleeding ammonium to the filters using an optimized ammonium versus NOx (AvN) control in the upstream aeration tanks and maintaining a nitrate residual in the filter effluent through feedforward/feedback control. The latter actions led to savings of 85% in methanol, 100% in alkalinity, and 35% in capacity enhancement. Up to 6 mg NH4+‐N/L with an average of 2.2 ± 0.98 mg NH4+‐N/L was removed through the anammox pathway, which accounted for about 15% of the overall plant nitrogen removal. Anammox enrichment was confirmed by activity testing and molecular analysis. The large excess of AnAOB capacity present in the filters (5–10 times more than normal operation) resulted in stable and reliable operation through winter conditions and showed potential for further intensification.
Rail Transit Stations Classification Based on Spectral Clustering

To identify the function and positioning of urban rail stations, and provide further guidance for design and construction, a classification method based on spectral clustering algorithm is established. Firstly, based on the principles of comprehensiveness and robustness, 5 initial indicators were selected, including total entry count, total exit count, entrances count, bus connecting lines count, and metro connecting lines count. Secondly, we normalize the original data by Z-score method and extract two main clustering factors through principal component analysis. Finally, we propose a station classification model based on spectral clustering algorithm. The effectiveness of the proposed method is verified in Hangzhou Metro System. The K-means cluster algorithm and spectral cluster methods are employed. The results show that the proposed model can successfully identify the types of urban rail transit stations, clarify the function and orientation of each station.
Perceived Family Stress Predicts Poor Metabolic Control in Pediatric Patients with Type 1 Diabetes: A Novel Triadic Approach

Objective Poor metabolic control and low treatment adherence remain major issues for many pediatric patients with type 1 diabetes. Important risk factors for both include psychosocial variables such as stress. To date, stress in type 1 diabetes patients and their parents has been investigated at an individual level. The present study tested the hypothesis that patients', mothers', and fathers' perceived stress is positively related to each other and therefore is a factor common to the family. This factor was then hypothesized to be related to patients' poorer treatment adherence behavior and metabolic control. Research Design and Methods. This cross-sectional study at the University Children's Hospital Zurich included 190 type 1 diabetes patients (age: 7–18 years; illness duration: ≥1 year) and their families. The Perceived Stress Scale was used to measure the self-reported stress of patients, mothers, and fathers. Patients' treatment adherence was rated by their endocrinologists. HbA1c served as indicator of metabolic control. A structural equation model (SEM) was conducted for analysis. Results The SEM showed adequate model fit. Patients' (β = .567, p ≤ .001), mother's (β = .621, p ≤ .001), and father's (β = .585, p ≤ .001) perceived stress loaded all on a single factor, perceived family stress. This factor was significantly associated with treatment adherence (β = −.384, p ≤ .001) and with HbA1c (β = .210, p = .012) of patients. Conclusions Results confirmed perceived family stress to be a common family construct. Because perceived family stress might have a negative impact on patients' treatment adherence and HbA1c, subjective stress appraisals of patients and both parents should be considered when counseling children and adolescents with type 1 diabetes.
Factors Related to Underweight Prevalence among 33,776 Children Below 60 Months Old Living in Northern Geopolitical Zones, Nigeria (2008–2018)

The prevalence of underweight among children below 60 months old in Nigeria remains a significant public health challenge, especially in northern geopolitical zones (NGZ), ranging from 15% to 35%. This study investigates time-based trends in underweight prevalence and its related characteristics among NGZ children below 60 months old. Extracted NGZ representative dataset of 33,776 live births from the Nigeria Demographic and Health Survey between 2008 and 2018 was used to assess the characteristics related to underweight prevalence in children aged 0–23, 24–59, and 0–59 months using multilevel logistics regression. Findings showed that 11,313 NGZ children below 60 months old were underweight, and 24–59-month-old children recorded the highest prevalence (34.8%; 95% confidence interval: 33.5–36.2). Four factors were consistently significantly related to underweight prevalence in children across the three age groups: poor or average-income households, maternal height, children who had diarrhoea episodes, and children living in the northeast or northwest. Intervention initiatives that include poverty alleviation through cash transfer, timely health checks of offspring of short mothers, and adequate clean water and sanitation infrastructure to reduce the incidence of diarrhoea can substantially reduce underweight prevalence among children in NGZ in Nigeria.
Sarcasm Over Time and Across Platforms: Does the Way We Express Sarcasm Change?

Sarcasm is a sophisticated form of speech used to convey a message other than the apparent one. To date, there are numerous papers that have discussed the idea of automatic sarcasm detection and how it could be used for sentiment analysis improvement. The objective of this paper is to provide non-experts with a comprehensive overview of the state of research in this field and the main findings regarding sarcasm detection. Therefore, in this paper, we survey the state-of-the-art work done in this field, we recapitulate the research effort done, with focus on the more recent works, and we present the expected performance out of the proposed works. Nevertheless, we study in detail how this form of speech is used in different platforms, and how the way we express it evolves over time. We also discuss the proposition that suggests that sarcasm is a polarity switcher for sentiment analysis. To achieve these goals, we run some experiments on 3 different data sets, collected from 3 different platforms, and compare how sarcasm is employed in each. These platforms are Twitter, Reddit, and some news websites. Our experiments show that the way sarcasm is expressed is highly dependent on language mastery and the platform used. For instance, in the Twitter data set, whose users vary widely in age, language mastery, and understanding what sarcasm means, the overall precision of detection of sarcastic statement reaches 89.31%. In the reddit data set, the precision of detection of such statements is about 55.33%, and in the news data set, the precision reaches over 96.67%. Our experiments also show that, to a great extent, it is safe to affirm that sarcasm, when employed, switches the polarity of a given piece of text: for the 3 platforms presented above, sarcasm has been a polarity switcher for 89.3%, 89.1%, and 92.0% of their respective instances.
WAQF MANAGER (NAZIR) EMPOWERMENT AND COMPETENCE IN THE DEVELOPMENT OF PRODUCTIVE WAQF

The development of productive waqf cannot be separated from the competent role of nazir in managing waqf. One of the efforts to improve Nazir's competence is through empowerment. However, the empowerment carried out is not focused on the development of productive waqf, so that it has an impact on the management of waqf which is static and does not develop. This study aims to determine the effect of empowerment on increasing nazir's competence to develop productive waqf in Bogor Regency. The research method uses quantitative research with data collection techniques to distribute questionnaires. Data collection was based on a purposive sampling technique for nazir who had received empowerment from the Indonesian Waqf Board and the Ministry of Religion, Bogor Regency. The data analysis technique uses Partial Least Square with the help of the Smart PLS 3 application to verify and confirm the empowerment that has been done. The results showed that empowerment had a positive and significant effect on increasing nazir's competence in developing productive waqf. The increasing competence of Nazir in the development of productive waqf is not enough just to have knowledge and understanding of the science of fiqh alone but must be equipped with competence in business management and entrepreneurship. Nazir who is competent in business management and has an entrepreneurial spirit will develop and empower waqf assets for productive ones. So that the managed waqf assets provide many benefits to the community. The findings of this study prove that the empowerment that has been carried out by BWI of Bogor Regency and the Ministry of Religion of Bogor Regency influences increasing nazir's competence. However, the empowerment carried out has not fully implicated the development of productive waqf. The empowerment material delivered is not directly specific in empowering productive waqf. So that the contribution of the value obtained in the increase in nazir is only 24.2%. Therefore, efforts are needed to improve the empowerment materials delivered to the nazir to empower and develop productive waqf assets, such as the nazir's understanding paradigm of the use of waqf assets in the economy, increasing the capacity of nazir in entrepreneurship, and extracting cash waqf for the development of waqf assets.
Deep-learning-based license plate detection method using vehicle region extraction

A new license plate detection method for challenging environments is proposed. Background clutters are common in road scene images and the detection of license plates (occupying only a small part of an image) is considered as a difficult problem. In order to address this problem, a two-step approach is developed: first vehicle regions are detected and the license plate in each vehicle region is localised. This vehicle region detection based approach provides scale information and limits search ranges in license plate detection, so that one can reliably detect license plate regions. To be precise, the faster region-based convolutional neural network algorithm for the vehicle region detection is adopted and candidates for license plates in each detected region with the hierarchical sampling method are generated. Finally, non-plate candidates are filtered out by training a deep convolutional neural network. The proposed method is evaluated on the Caltech dataset and the method showed a precision of 98.39% and a recall of 96.83%, which outperforms conventional methods.
Blood donors' usage intentions of donation appointment‐scheduling systems during the COVID‐19 pandemic and beyond

Abstract During the COVID‐19 pandemic, online appointment‐scheduling systems have become standard procedure in blood donation practice. This study develops and empirically tests a comprehensive conceptual model of blood donors' usage intentions of a donation appointment‐scheduling system during the COVID‐19 pandemic. Online survey data are collected from blood donors (n = 3269) and analyzed using the partial least squares structural equation modeling (PLS‐SEM) approach. The results provide evidence that intentions to use the system in the post‐COVID‐19 future are high. Together with high‐perceived usefulness and ease of use, this indicates generally high‐system acceptance among active donors during the pandemic and beyond. The study identifies a number of factors that influence this acceptance. The results show that different aspects of service quality perceptions in the context of the system drive its acceptance. The strongest positive effect is exerted by blood donors' pre‐donation planning convenience, followed by an enhanced actual donation experience. Reduced flexibility as a result of the system has a strong negative effect. The authors derive managerial implications for blood donation services regarding preserving the acceptance level and suggest future research prospects.
CCIBA*: An Improved BA* Based Collaborative Coverage Path Planning Method for Multiple Unmanned Surface Mapping Vehicles

The main emphasis of this work is placed on the problem of collaborative coverage path planning for unmanned surface mapping vehicles (USMVs). As a result, the collaborative coverage improved <inline-formula> <tex-math notation="LaTeX">$BA^{*}$ </tex-math></inline-formula> algorithm (<inline-formula> <tex-math notation="LaTeX">$CCIBA^{*}$ </tex-math></inline-formula>) is proposed. In the algorithm, coverage path planning for a single vehicle is achieved by task decomposition and level map updating. Then a multiple USMV collaborative behavior strategy is designed, which is composed of area division, recall and transfer, area exchange and recognizing obstacles. Moverover, multiple USMV collaborative coverage path planning can be achieved. Consequently, a high-efficiency and high-quality coverage path for USMVs can be implemented. Water area simulation results indicate that our <inline-formula> <tex-math notation="LaTeX">$CCIBA^{*}$ </tex-math></inline-formula> brings about a substantial increase in the performances of path length, number of turning, number of units and coverage rate.
Prediction of pressure induced by large amplitude sloshing in a tank

A two-dimensional (2D) numerical simulation based on the volume of fluid (VOF) method is performed for predicting sloshing pressure in a partially filled liquid tank.For modeling impact pressure induced by large amplitude sloshing,an emphasis is given to the numerical treatment of the boundary conditions,which are sensitive to the simulation.Liquid sloshing inside a rectangular tank is simulated.The time history of the free surface position and the dynamic pressure are obtained.The results are compared with the test ones.These comparisons show that the present method can be used to simulate the load induced by large amplitude sloshing.