Miracle-dz/UniFAR-FTUs huggingface dataset:
Superoxide Dismutase and Glutathione Reductase as Indicators of Oxidative Stress Levels May Relate to Geriatric Hip Fractures’ Survival and Walking Ability: A Propensity Score Matching Study

Background Oxidative stress status may affect bone metabolism and regeneration. However, few studies reported whether oxidative stress could impact the outcomes of hip fractures. This study aimed to explore if superoxide dismutase and glutathione reductase, the critical antioxidant enzymes, correlated with the prognosis of hip fractures. Methods Patients with hip fractures were extracted from our database, and those who met the inclusion criteria were analyzed. Propensity score matching was used to reduce the influence of confounding factors, and ROC curves based on matched populations were created to determine the optimal cutoff points of SOD and GR. Then, outcomes between SOD or GR and outcomes of hip fractures were compared. Results Out of 301 patients enrolled in this study, 50 patients died within one year. After a 1:1 PSM, the patients with less than 1-year survival had significantly lower SOD (p = 0.026) and GR (p = 0.021) than those who were still alive at one year. Logistics analysis showed that low SOD and low GR may be independent risk factors for 6-month survival, 1-year survival, 6-month free walking ability, and 1-year free walking ability. Conclusion SOD and GR may be the independent risk factors for survival and walking abilities of hip fractures.
Highway Traffic Flow Prediction Model Construction Based on the Gray Theory and BP Neural Network

The short-term traffic flow prediction and modeling of highways are the core content and important foundation of highway management decision-making support systems. It is of great significance to improving the level of highway management. Based on the macrodynamic traffic flow model, this article establishes a method for establishing a highway traffic flow prediction model based on the BP neural network theory and gray theory. We collected and carry out modeling and prediction of highway traffic flow data near a certain station. It is learned from the prediction results that the traffic flow prediction model based on the BP neural network and gray theory has a high degree of reliability.
Wheat Elongator Subunit 4 Negatively Regulates Freezing Tolerance by Regulating Ethylene Accumulation

Freezing stress is a major factor limiting production and geographical distribution of temperate crops. Elongator is a six subunit complex with histone acetyl-transferase activity and is involved in plant development and defense responses in Arabidopsis thaliana. However, it is unknown whether and how an elongator responds to freezing stress in plants. In this study, we found that wheat elongator subunit 4 (TaELP4) negatively regulates freezing tolerance through ethylene signaling. TaELP4 promoter contained cold response elements and was up-regulated in freezing stress. Subcellular localization showed that TaELP4 and AtELP4 localized in the cytoplasm and nucleus. Silencing of TaELP4 in wheat with BSMV-mediated VIGS approach significantly elevated tiller survival rate compared to control under freezing stress, but ectopic expression of TaELP4 in Arabidopsis increased leaf damage and survival rate compared with Col-0. Further results showed that TaELP4 positively regulated ACS2 and ACS6 transcripts, two main limiting enzymes in ethylene biosynthesis. The determination of ethylene content showed that TaELP4 overexpression resulted in more ethylene accumulated than Col-0 under freezing stress. Epigenetic research showed that histone H3K9/14ac levels significantly increased in coding/promoter regions of AtACS2 and AtACS6 in Arabidopsis. RT-qPCR assays showed that the EIN2/EIN3/EIL1-CBFs-COR pathway was regulated by TaELP4 under freezing stress. Taken together, our results suggest that TaELP4 negatively regulated plant responses to freezing stress via heightening histone acetylation levels of ACS2 and ACS6 and increasing their transcription and ethylene accumulation.
Look and Listen: A Multi-Sensory Pouring Network and Dataset for Granular Media from Human Demonstrations

Humans have the ability to pour various media, both liquid and granular, to desired ends in various containers. We do this by using multiple senses simultaneously in a constant feedback loop to complete a pouring task. Combining multiple sensing modalities, similar to humans, could aid in robotic pouring control outside of a structured or industrial setting. We present a multi-sensory pouring dataset consisting of human pouring demonstrations of various granular media, coupled with two multi-sensory networks that estimate pouring rate and pouring average height. For both pouring metrics, a combined input of audio and visual data provides a lower median error than either the audio network or visual network. The multi-sensory network achieves a median error of 6.4 mm for average height estimation and 0.06 N/s for pouring rate estimation.
Assessment of Nutritional Status, Knowledge, Attitude and Practices of Secondary School Students in Kano, Nigeria

Poor nutritional status during adolescence is an important determinant of health outcome and sustainable development. Roughly 19.7% of the world’s adolescents reside in Africa. Nigeria has about 21% of its population as adolescents. Adequate nutrition knowledge, attitude and practices (KAP) among adolescents are necessary for improved nutrition status. However, there is limited data on nutrition KAP among adolescents to inform decision-making in the Northern Nigeria. The study assessed the nutritional status, knowledge, attitude and practices of secondary school girls in Kano, Nigeria. Descriptive research design was used for data collection, 137 students 10-22 years were randomly selected for the study. Data was collected using modified KAP questionnaire developed by the Food and Agricultural Organisation of the United Nation (FAO-UN). Height, weight was measured and used for the calculation of Body Mass Index (BMI). Data were analyzed using SPSS-20. Correlation analysis was used to assess relationship between Nutritional knowledge, attitude and practices. P value of <0.05 was considered statistically significant. Results obtained indicated that majority of the participants (55.42%) were underweight, 43.06% normal, 0.79% overweight and 0.73% obesed. Nutritional Knowledge was found to be 62.77% good, 21.39% fair and 15.84% poor. Nutritional attitude and practice were found to be 16.06% good, 50.36% fair, 33.58% poor, and 1.46% good, 15.33% fair, and 83.21 poor respectively. Correlation between knowledge and attitude, knowledge and practice, as well as practice and attitude were 0.338 (p=0.001), 0.058 (p= 0.504) and 0.235 (p= 0.006) and respectively. Therefore, the study reveals poor nutritional status, adequate knowledge and no significant correlation was found between knowledge and practice.
“We Should Be Taught Self-Respect, Self-Confidence and Self-Love”: Youth Perspectives of Adult Influences on Their Sexuality and Relationships Among South African Adolescents Living With HIV

Introduction Of the 1.75 million adolescents aged 10–19 years living with HIV globally, 84% reside in sub-Saharan Africa. This problem is most acute in South Africa, where there are 720,000 adolescents living with HIV (ALHIV). ALHIV navigate the same challenges as other adolescents—such as puberty and first relationships—as well as challenges specific to their HIV-status—including stigma, disclosure, and concerns about HIV transmission. This dual burden calls for tailored sexual and reproductive health (SRH) programs. Here, we qualitatively explore the reflections of South African ALHIV on SRH education, communication, and discussion provided by adults in schools, clinics, and the home related to their unique SRH needs. Methods This paper reports on qualitative data from a mixed-methods study to inform interventions that meet the SRH needs of ALHIV. In-depth interviews (N = 20) were conducted with ALHIV recruited from two clinics in Cape Town, South Africa. Nine males and 11 females aged 16–19 participated in semi-structured in-depth interviews to discuss their sexual health as ALHIV. The interview guide explored 1) perceived SRH needs; 2) healthy living with HIV; 3) future goals; 4) intimate relationships; 5) psychosocial challenges; and 6) preferred interventions. Data were thematically applied to an iteratively-developed codebook and analyzed by the cross-cultural research team using NVivo 12. Results These qualitative data reveal the pressing needs among ALHIV for open communication and accurate information about sexuality and HIV, given the risk to themselves and their partners as they enter intimate relationships. Three themes emerged from the data: 1) Intergenerational pressures coming from caregivers, clinicians, and teachers often stigmatize the sexual heath behaviors of ALHIV; 2) When present, open intergenerational communication can provide ALHIV with crucial information, resources, and social support that supports healthy decisions, and 3) ALHIV offer specific ideas about how adults can support their decision-making in the transition to adulthood. Conclusions Findings highlight adolescents' recommendations for programs involving open communication, stigma-reduction around sexuality, and support from both peer and adult mentors. This study lays the foundation for strategies to improve intergenerational communication about sexual health to promote positive approaches to sexuality for ALHIV.
Markerless client-server augmented reality system with natural features

A markerless client-server augmented reality system is presented. In this research, the more extensive and mature virtual reality head-mounted display is adopted to assist the implementation of augmented reality. The viewer is provided an image in front of their eyes with the head-mounted display. The front-facing camera is used to capture video signals into the workstation. The generated virtual scene is merged with the outside world information received from the camera. The integrated video is sent to the helmet display system. The distinguishing feature and novelty is to realize the augmented reality with natural features instead of marker, which address the limitations of the marker, such as only black and white, the inapplicability of different environment conditions, and particularly cannot work when the marker is partially blocked. Further, 3D stereoscopic perception of virtual animation model is achieved. The high-speed and stable socket native communication method is adopted for transmission of the key video stream data, which can reduce the calculation burden of the system.
The Mechanisms of Adaptive Linguistic Evolution

Why is language the way it is and not some other way? Answering this why question is one of the key goals of modern linguistics. We can reframe this question as one about language universals in the broadest sense. Typically conceived, universals are statements about the expected distribution of language types within the space of logically possible languages. The typological literature discusses universals that set out constraints on variation in, for example, word-order (e.g. Hawkins 1994), phonemic segment inventories (e.g. Maddieson 1984), restrictions on movement (e.g. Keenan & Comrie 1977) and so on. Less commonly discussed in these terms are more fundamental universal structural properties of language, such as compositionality, recursion, and semiregularity. Nevertheless, we should reasonably expect an explanatory linguistic theory should explain why language is compositional as much as it should explain why certain basic word-orders are more frequent than others.
Main Factors Influencing the Gut Microbiota of Datong Yaks in Mixed Group

Simple Summary This study examined the differences and similarities in gut microbial diversity and ecological assembly processes of Datong yaks, including domestic males and females and wild males, which were fed together on the Qinghai-Tibet Plateau in a mixed group. The results revealed that mixed grouping could influence the gut microbiota of these three groups of yaks and improve the gut microbial diversity of domestic females. The findings of this study can help to understand the effects of mixed grouping on the gut microbiota of livestock on the Qinghai-Tibet Plateau and improve the production of Datong yaks. Abstract The Datong yak (Bos grunniens) is the first artificial breed of yaks in the world and has played an important role in the improvement of domestic yak quality on the Qinghai-Tibet Plateau. The Datong yak breeding farm in the Qinghai province of China is the main place for the breeding and feeding of Datong yaks. It hosts domestic Datong yaks and wild male yaks, mainly in mixed groups. Different managements have different effects on livestock. The gut microbiota is closely related to the health and immunity of Datong yaks, and mixed grouping can affect the composition and diversity of the gut microbiota of Datong yaks. To reveal the effects of mixed grouping on the gut microbiota of Datong yaks and wild yaks and identify the main dominant factors, we compared the gut microbial diversities of domestic males and females and wild males based on 16S rRNA V3–V4 regions using fresh fecal samples. The data showed significant differences in the gut microbial diversity of these three groups, and the α-diversity was the highest in wild males. Different factors influence the gut microbiota, and the main influencing factors were different in different groups, including sex differences, host genetics, and physical interactions. We also compared ecological assembly processes in the three groups. The results showed that mixed grouping contributed to the improvement of gut microbial diversity in domestic females. Our study provides effective and feasible suggestions for the feeding and management of the Datong yaks.
Within-subject variation of technical performance in elite Brazilian professional soccer players: the environmental stress, match location, and opposition’s ranking influences

ABSTRACT Recent research identified that the behaviour of players and teams varies depending on the match context affecting the players’ technical performance. Due to the high context variability of a soccer game, understanding the characteristics of technical performance in soccer can enable coaches to make better decisions. The present study aimed to evaluate the effects of environmental stress, match location, and opposition’s ranking on technical performance variation of elite soccer players from strong and weak teams from the Brasileirão Serie A (Brazilian First Division National Championship). Fourteen match actions were chosen as dependent variables in the analysis. Values of each action of each player per match were established. We compared the means of these values from the Top 4 and Bottom 4 teams across different match contexts (environment heat stress, match location, and opposition’s ranking). We calculated all comparisons using linear mixed models. The results showed better technical performance under low or medium environmental heat stress at home and against weak opposition (p < 0.05). Therefore, match context affects elite Brazilian soccer players’ technical performance from the first division championship.
Identification of MiRNA–Disease Associations Based on Information of Multi-Module and Meta-Path

Cumulative research reveals that microRNAs (miRNAs) are involved in many critical biological processes including cell proliferation, differentiation and apoptosis. It is of great significance to figure out the associations between miRNAs and human diseases that are the basis for finding biomarkers for diagnosis and targets for treatment. To overcome the time-consuming and labor-intensive problems faced by traditional experiments, a computational method was developed to identify potential associations between miRNAs and diseases based on the graph attention network (GAT) with different meta-path mode and support vector (SVM). Firstly, we constructed a multi-module heterogeneous network based on the meta-path and learned the latent features of different modules by GAT. Secondly, we found the average of the latent features with weight to obtain a final node representation. Finally, we characterized miRNA–disease-association pairs with the node representation and trained an SVM to recognize potential associations. Based on the five-fold cross-validation and benchmark datasets, the proposed method achieved an area under the precision–recall curve (AUPR) of 0.9379 and an area under the receiver–operating characteristic curve (AUC) of 0.9472. The results demonstrate that our method has an outstanding practical application performance and can provide a reference for the discovery of new biomarkers and therapeutic targets.
Investigation on Package Warpage and Reliability of the large size 2.5D Molded Interposer on Substrate (MIoS) Package

2.5D silicon interposer integration package technology has been developed for high-end applications such as AI, datacenter, server, etc. In order to achieve higher performance, the types and number of integrated chips are gradually increasing. The package size is also increasing due to more number of chips to be integrated. As the package size increases, various technical challenges are accompanied by such as molded chip warpage, package level reliability or package warpage. In the previous study, we introduced a 2.5D package structure called Molded Interposer on Substrate (MIoS) which is composed of 2-logic and 8-HBM devices on 2800mm2 size Si interposer. The package body size of 8-HBM MIoS package is 85x85mm2. In this study, package warpage and reliability of large size package were investigated. Package warpage is caused by the CTE mismatch between organic substrate and molded interposer chip which is composed of Si devices. To compensate the package warpage induced by the CTE mismatch, a stiffener structure was attached. The warpage shape caused by CTE mismatch was investigated, and stiffener structure, stiffener material properties and adhesive material properties were studied to effectively compensate for the package warpage. The effect of each parameter on the package warpage was investigated through experiments and package warpage expectation model was developed. Also the package level reliability verification was performed for various structures controlling the package warpage. Through this study, package warpage control technology of large size 2.5D package with various sizes and configurations was achieved.
Modeling Techniques and Stability Analysis Tools for Grid-Connected Converters

Large-scale integration of renewable generation interfaced to the network through power electronic converters has led to drastic changes in power system dynamics. In islanded microgrids or weak grids, different control concepts for the synchronization of converters have been proposed to provide virtual inertia and improve their resilience against transient events, ensuring safe operation without heavy redundant design. The complexity of these power-related control algorithms and their interaction with the inner control loops causes problems in frequency components above the range of traditional studies which calls on modeling techniques with a wider bandwidth. This work aims to provide an outline of modeling methods for grid-connected converter dynamics from subsynchronous to switching sideband frequency range and relevant analyzing tools. The major contributions of this work are: 1. Theoretical foundations and the derivation processes are discussed for each of the modeling methods within the time domain, frequency domain and harmonic domain. 2. Similarities and differences between these methods are highlighted and recommendations are given regarding different grid situations. 3. A case study with an active front end converter is shown and the analysis results are validated by simulation and Hardware-in-the-Loop (HiL) test, illustrating the effectiveness of these methods.
Antioxidant Effect of Nanoparticles Composed of Zein and Orange (Citrus sinensis) Extract Obtained by Ultrasound-Assisted Extraction

In the present research, an orange extract (OE) was obtained and encapsulated in a zein matrix for its subsequent physicochemical characterization and evaluation of its antioxidant capacity. The OE consists of phenolic compounds and flavonoids extracted from orange peel (Citrus sinensis) by ultrasound-assisted extraction (UAE). The results obtained by dynamic light scattering (DLS) and scanning electron microscopy (SEM) indicated that zein nanoparticles with orange extract (NpZOE) presented a nanometric size and spherical shape, presenting a hydrodynamic diameter of 159.26 ± 5.96 nm. Furthermore, ζ-potential evolution and Fourier transform infrared spectroscopy (FTIR) techniques were used to evaluate the interaction between zein and OE. Regarding antioxidant activity, ABTS and DPPH assays indicated no significant differences at high concentrations of orange peel extract and NpZOE; however, NpZOE was more effective at low concentrations. Although this indicates that ultrasonication as an extraction method effectively obtains the phenolic compounds present in orange peels, the nanoprecipitation method under the conditions used allowed us to obtain particles in the nanometric range with positive ζ-potential. On the other hand, the antioxidant capacity analysis indicated a high antioxidant capacity of both OE and the NpZOE. This study presents the possibility of obtaining orange extracts by ultrasound and coupling them to zein-based nanoparticulate systems to be applied as biomedical materials functionalized with antioxidant substances of pharmaceutical utility.
Cadre de gestion environnementale et sociale

This document presents an overview of the basic principles of the Framework Environmental and Social Management (ESMF) of the Infrastructure and Institutions Emergency Recovery Project of Haiti. These principles refer to international best practice in terms of post-disaster reconstruction and the safeguard policies of the World Bank (WB). The proposed basic principles take into account the emergency situation prevailing in Haiti, and therefore the need to have a simple and effective measure to be applied realistically without neglecting the importance of mitigating the risks of environmental and social benefits associated with restoration projects and infrastructure improvements. The project development objective is to support the recipient's early sustainable recovery efforts, in the aftermath of the earthquake, through selected interventions to rebuild key institutions and infrastructure. The objective of this ESMF is to amplify the benefits and sustainability of emergency projects and avoid or reduce potential negative impacts on people and their environment in all phases of the project.
Bio-Radar Cardiac Signal Model Used for HRV Assessment and Evaluation Using Adaptive Filtering

The ability to remotely assess vital signs using radar systems may potentialize the healthcare systems, since it does not require any direct interaction with the subject. Nonetheless, these systems present inherent challenges that could compromise the accuracy of the vital signs parameters. For instance, there is a lack of resolution on the cardiac signal, since the radar only detects the chest micro-displacement. Low cardiac resolution prevents the exact localization of signal peaks, compromising the heart rate variability (HRV) assessment. In this work, we use a customized bandpass filter (BPF) obtained through adaptive filtering, applied to the electrocardiography (ECG) signal to generate the corresponding synthetic radar signal. This provides an easy way to extract a cardiac radar signal model, free of issues that arise from random body motion (RBM) or from an eventual decrease in signals quality, which are inherent issues of long-term acquisitions. This model was further used to verify if the signal resolution provided by lower carrier radars is suitable to determine the HRV parameters accurately.