Miracle-dz/UniFAR-FTUs huggingface dataset:
How equestrians conceptualise horse welfare: Does it facilitate or hinder change?

More than ever the welfare of horses in equestrian sport is in the spotlight. In response to this scrutiny, one peak body, the Federation Equestre Internationale (FEI) has created an Equine Ethics and Wellbeing Commission to protect their sport’s longevity. However, for welfare-based strategies to be successful, the conceptualisation of horse welfare must align across various stakeholders, including the general public. The value-laden nature of welfare makes agreement on its definition, even among scientists, difficult. Given little is known about how equestrians conceptualise horse welfare, we interviewed 19 Australian amateur equestrians using a semi-structured format. Systems thinking and the Five Domains Model provided the theoretical framework and informed our methods. Using reflexive thematic analysis, three themes were identified: (1) good horse welfare is tangible; (2) owners misinterpret unwanted horse behaviour; and (3) equestrians publicly minimise horse welfare issues but are privately concerned. Our results highlight participants’ conceptualisations of horse welfare do not align with the Five Domains Model; participants’ ideal of prioritising horse welfare does not align with their practice; and there is inconsistency between what participants share publicly and what they think privately about horse welfare. These findings can inform the development of programmes to improve ridden horse welfare throughout the horse industry. As a starting point, programmes that provide a safe space for equestrians to explore their private horse welfare concerns, and programmes that build a partnership mindset to facilitate knowledge exchange between all stakeholders are needed.
Seismic Image Identification and Detection Based on Tchebichef Moment Invariant

The research focuses on the analysis of seismic data, specifically targeting the detection, edge segmentation, and classification of seismic images. These processes are fundamental in image processing and are crucial in understanding the stratigraphic structure and identifying oil and natural gas resources. However, there is a lack of sufficient resources in the field of seismic image detection, and interpreting 2D seismic image slices based on 3D seismic data sets can be challenging. In this research, image segmentation involves image preprocessing and the use of a U-net network. Preprocessing techniques, such as Gaussian filter and anisotropic diffusion, are employed to reduce blur and noise in seismic images. The U-net network, based on the Canny descriptor is used for segmentation. For image classification, the ResNet-50 and Inception-v3 models are applied to classify different types of seismic images. In image detection, Tchebichef invariants are computed using the Tchebichef polynomials’ recurrence relation. These invariants are then used in an optimized multi-class SVM network for detecting and classifying various types of seismic images. The promising results of the SVM model based on Tchebichef invariants suggest its potential to replace Hu moment invariants (HMIs) and Zernike moment invariants (ZMIs) for seismic image detection. This approach offers a more efficient and dependable solution for seismic image analysis in the future.
Pressed for Time: The Acceleration of Life in Digital Capitalism

The technologically tethered, iPhone-addicted figure is an image we can easily conjure. Most of us complain that there aren't enough hours in the day and too many e-mails in our thumb-accessible inboxes. This widespread perception that life is faster than it used to be is now ingrained in our culture, and smartphones and the Internet are continually being blamed. But isn't the sole purpose of the smartphone to give us such quick access to people and information that we'll be free to do other things? Isn't technology supposed to make our lives easier? In Pressed for Time, Judy Wajcman explains why we immediately interpret our experiences with digital technology as inexorably accelerating everyday life. She argues that we are not mere hostages to communication devices, and the sense of always being rushed is the result of the priorities and parameters we ourselves set rather than the machines that help us set them. Indeed, being busy and having action-packed lives has become valorized by our productivity driven culture. Wajcman offers a bracing historical perspective, exploring the commodification of clock time, and how the speed of the industrial age became identified with progress. She also delves into the ways time-use differs for diverse groups in modern societies, showing how changes in work patterns, family arrangements, and parenting all affect time stress. Bringing together empirical research on time use and theoretical debates about dramatic digital developments, this accessible and engaging book will leave readers better versed in how to use technology to navigate life's fast lane.
Research on the Influencing Factors of Farmers’
Land Transfer Behavior Based on the Framework
of Technology Acceptance Model: the Evidence
from Shaanxi, China

Based on technology acceptance model, this paper uses 3500 samples of farmers in underdeveloped areas of Shaanxi Province to reveal the influence mechanism of farmers’ land transfer behavior by using partial least squares structural equation model. The results show that: (1) Perceived usefulness and perceived ease of use have a positive impact on farmers’ land transfer behavior. The effect of perceived usefulness is stronger than that of perceived ease of use, and the effect of economic perceived usefulness is the strongest. (2) Family environment, social environment and land environment indirectly affect farmers’ land transfer behavior by affecting their perception of land transfer. (3) The decision-making path of farmers’ land transfer behavior is: external environmental factors → perceived usefulness → land transfer behavior; external environmental factors → perceived ease of use → land transfer behavior; external environment → perceived ease of use → perceived usefulness → land transfer behavior. It can be seen that perceived usefulness and perceived ease of use based on specific environment will have a significant impact on land transfer behavior. Therefore, to promote land transfer, we should focus on increasing the economic benefits of land transfer and improving the convenience of transfer transactions based on local reality.
Relationship Between e-Health Literacy and Psychosocial Stress Levels in Adolescents

E-health literacy has positive and negative impacts. The positive impact of e-health literacy can be considered as a guardian of mental health, especially stress. While the negative impact is that the activity of seeking health information can lead to self-diagnosis which can have an impact on behavior, namely triggering anxiety and even stress. The purpose of this study was to determine the relationship between e-health literacy and the level of psychosocial stress in adolescents. The design used is descriptive correlation and cross sectional approach. The research sample was 276 adolescents using a stratified random sampling technique. The analysis used is the chi-square test. The results showed that there were 261 people with a good level of e-health literacy (94.6%), as many as 101 people had a moderate level of psychosocial stress (36.6%). Based on statistical tests, there was no relationship between e-health literacy and stress levels. psychosocial in adolescents with p value (0.950) alpha (0.05). Based on the results obtained, it is recommended for future researchers to intervene in adolescents who experience moderate to severe psychosocial stress
Linking Northern High-Latitude Cryospheric Changes to Large-Scale Atmospheric Circulation

Warming twice as fast as the rest of the globe, the northern high-latitudes arguably show the clearest evidences of observed and projected climate changes. Two of these are the rapid loss of Arctic sea ice and the shrinking of the Greenland Ice Sheet. In this dissertation, three papers analyze the interaction between the cryospheric changes and the atmospheric circulation. In the first paper, summers of observed anomalous Arctic sea ice melt are composited in order to distinguish large-scale atmospheric patterns associated with sea ice loss. While a positive cloud feedback characterizes warm high-latitude summers, storms track more zonally in midlatitudes, leaving summers stormier, wetter and cooler in northwestern Europe and around the Sea of Okhotsk. Farther south, a heating band from the Mediterranean Sea to East Asia indicates an increased probability of heat extremes in these areas in summers of high Arctic sea ice melt. The second paper analyzes projected changes in Arctic sea ice and Northern Hemisphere storminess. Here, a general poleward-shift of the main storm tracks is revealed. Cyclone intensities generally follow cyclone frequencies, but with an elevated intensification over new open ocean areas. For most of the domain, precipitation increases significantly, with the highest enhancements along the poleward-shifted storm tracks and in the sea ice diminishing Arctic. Finally, the influence of cyclonic and anticyclonic activities on the observed Greenland Ice Sheet (GrIS) surface mass balance (SMB) variability annually is analyzed in the third paper. The synoptic features correlate with the SMB changes through their impact on temperature and snow accumulation. Generally, enhanced cyclonic activity contributes to increased snow accumulation over the GrIS by transporting more heat and moisture from the south. A warming effect also results from enhanced anticyclonic activity in summer, where fewer clouds increase the incoming shortwave radiation and thus surface temperature. Overall, up to 60 % of the regional SMB variability can be explained by these synoptic activities. All together, the three papers illustrate how the Arctic sea ice and the GrIS interconnect with local and remote changes in the atmospheric circulation. While various studies find the regional changes to significantly alter ecosystems, impact local communities and enhance industry potential, distant consequences might include sea level rise, elevated risks of extreme weather events, decline in agricultural production, economic disruption and hence political instabilities.
Adherence to the Mediterranean Diet and Risk of Gastric Cancer: A Systematic Review and Meta-Analysis

Available results on the association between the Mediterranean diet (MD) and gastric cancer (GC) incidence are controversial. The present study aimed to determine the correlation between different subtypes of GC and MD adherence. This meta-analysis was registered on PROSPERO (CRD42021284432). We searched Embase, PubMed, Cochrane Library, and Web of Science from inception through 22 April 2023 to retrieve relevant studies. A random-effects model was used to pool odds ratios (ORs) with 95% confidence intervals (CIs). Eleven studies were included in the meta-analysis. Pooled analyses revealed that adherence to the MD was inversely associated with GC risk (ORcc, 0.43; 95% CI, 0.29 to 0.63; ORcoh, 0.84; 95% CI, 0.77 to 0.92). Higher MD adherence was significantly associated with a reduced GC risk in male (ORcc, 0.78; 95% CI, 0.65 to 0.93; ORcoh, 0.81; 95% CI, 0.65 to 1.01), but not in female (ORcc, 0.83; 95% CI, 0.68 to 1.01; ORcoh, 1.04; 95% CI, 0.82 to 1.31). Furthermore, adherence to the MD possibly decreased the risk of gastric cardia adenocarcinoma (GCA) (ORcc, 0.64; 95% CI, 0.49 to 0.83; ORcoh, 0.88; 95% CI, 0.76 to 1.02) and gastric non-cardia adenocarcinoma (GNCA) (ORcc, 0.68; 95% CI, 0.59 to 0.79; ORcoh, 0.85; 95% CI, 0.78 to 0.94). Our results indicate that adherence to the MD reduces the risk of GC and its subtypes.
Influenza virus decreases albumin uptake and megalin expression in alveolar epithelial cells

Introduction Acute respiratory distress syndrome (ARDS) is a common complication of influenza virus (IV) infection. During ARDS, alveolar protein concentrations often reach 40-90% of plasma levels, causing severe impairment of gas exchange and promoting deleterious alveolar remodeling. Protein clearance from the alveolar space is at least in part facilitated by the multi-ligand receptor megalin through clathrin-mediated endocytosis. Methods To investigate whether IV infection impairs alveolar protein clearance, we examined albumin uptake and megalin expression in MLE-12 cells and alveolar epithelial cells (AEC) from murine precision-cut lung slices (PCLS) and in vivo, under IV infection conditions by flow cytometry and western blot. Transcriptional levels from AEC and broncho-alveolar lavage (BAL) cells were analyzed in an in-vivo mouse model by RNAseq. Results IV significantly downregulated albumin uptake, independently of activation of the TGF-β1/GSK3β axis that has been previously implicated in the regulation of megalin function. Decreased plasma membrane abundance, total protein levels, and mRNA expression of megalin were associated with this phenotype. In IV-infected mice, we identified a significant upregulation of matrix metalloproteinase (MMP)-14 in BAL fluid cells. Furthermore, the inhibition of this protease partially recovered total megalin levels and albumin uptake. Discussion Our results suggest that the previously described MMP-driven shedding mechanisms are potentially involved in downregulation of megalin cell surface abundance and clearance of excess alveolar protein. As lower alveolar edema protein concentrations are associated with better outcomes in respiratory failure, our findings highlight the therapeutic potential of a timely MMP inhibition in the treatment of IV-induced ARDS.
Unveiling the Bacterial Communities
and Its Potential Agricultural Applications
from Organic Manure (Panchagavya)
Using Targeted Amplicon Analysis

Due to the alarming effect of synthetic and chemical-based agriculture on human health and the environment, organic farming has been receiving increasing attention around the world. Panchagavya (PG) and farmyard manure play crucial roles in organic farming’s nutrient management. Despite its known potential in crop applications, Panchagavya microbial profile has yet to be mapped. The aim of this study is to unveil the succession of bacterial communities in Panchagavya during the fermentation process using targeted amplicon analysis. The results revealed that 45 phyla, 92 classes, 168 orders, 333 families, 899 genera, and 2026 species were obtained from all samples, along with 5144 OTUs. Proteobacteria (36.61-70.98%) and Bacteroidetes (14.59-23.81%) were found in greater abundance in all samples, with Proteobacteria being the most common in all samples, followed by Bacteroidetes and Firmicutes (12.67-29.58%). Pseudomonas was a dominant member of the fermentation process, along with Romboutsia, Paeniclostridium, Clostridium, Enterococcus, Lactobacillus , Bifidobacterium , and Ruminococcus . The findings indicate that Panchagavya demonstrates effectiveness as a fertilizer due to its inclusion of advantageous microorganisms and growth stimulants for plants. Furthermore, some bacterial members that have not yet been characterized for any role in the soil and plant systems, urging a comprehensive investigation into the potential functions for future agricultural applications and practices.
Factors that Increase the Likelihood of Ovarian Endometriosis Relapsing after Surgical Excision: A Systematic Review and Meta-Analysis

Background : Determine potential triggers for ovarian endometriosis recurrence to provide individualized long-term management and follow-up for improved patient outcomes. Methods : Relevant data were acquired through systematic retrieval from PubMed, Embase, Web of Science, and Cochrane Library before October 2022. We determined the odd ratio or the mean difference with their corresponding 95% confidence interval (CI) to explore the relationship between relevant risk factors and postoperative endometriosis relapse. Results : This meta-analysis ultimately covered 6388 patients from 18 trials, and the findings demonstrated that postoperative endometriosis recurrence was associated with the age at surgery [mean difference (MD) (95% CI) = –0.69 (–1.33~–0.05), p = 0.04], family history [odds ratio (OR) (95% CI) = 2.18 (1.10~4.29), p = 0.02], preoperative carbohydrate antigen (CA-125) [MD (95% CI) = 24.08 (–7.55~40.61), p = 0.004], laterality of endometriosis (EMs) [OR (95% CI) = 1.19 (1.00~1.40), p = 0.04], presence of adenomyosis [OR (95% CI) = 1.53 (1.11~2.11), p = 0.009], presence of myoma [OR (95% CI) = 1.44 (1.07~1.94), p = 0.02], previous endometriosis-related surgery [OR (95% CI) = 1.90 (1.45~2.51), p < 0.00001], and r-American Fertility Society (r-AFS) stage [OR (95% CI) = 0.30 (0.19~0.46), p < 0.00001]/[OR (95% CI) = 0.57 (0.48~0.66), p < 0.00001]. In addition, postoperative pregnancy [OR (95% CI) = 0.40 (0.19~0.82), p = 0.01] and postoperative medication [OR (95% CI) = 1.64 (1.02~2.62), p = 0.04] were indicated protective factors for the prevention of postoperative ovarian endometriosis relapse. Conclusions : Risk factors for postoperative endometriosis recurrence included the age at surgery, family history, CA-125, laterality of EMs, presence of adenomyosis, presence of myoma, previous endometriosis-related surgery, and r-AFS stage. In addition, protective factors for preventing postoperative recurrence included postoperative pregnancy and postoperative medication. However, the age of menarche, infertility, the extent of surgery, cyst size, body mass index, and dysmenorrhea were unrelated to postoperative recurrence. The sample size could be increased for further investigations.
Continuous latent state preintegration for inertial-aided systems

Traditionally, the pose and velocity prediction of a system at time t2 given inertial measurements from a 6-DoF IMU depends on the knowledge of the system’s state at time t1. It involves a series of integration and double integration that can be computationally expensive if performed regularly, in particular in the context of inertial-aided optimisation-based state estimation. The concept of preintegration consists of creating pseudo-measurements that are independent of the system’s initial conditions (pose and velocity at t1) in order to predict the system’s state at t2. These pseudo-measurements, so-called preintegrated measurements, were originally computed numerically using the integration rectangle rule. This article presents a novel method to perform continuous preintegration using Gaussian processes (GPs) to model the system’s dynamics focusing on high accuracy. It represents the preintegrated measurement’s derivatives in a continuous latent state that is learnt/optimised according to asynchronous IMU gyroscope and accelerometer measurements. The GP models allow for analytical integration and double integration of the latent state to generate accurate preintegrated measurements called unified Gaussian preintegrated measurements (UGPMs). We show through extensive quantitative experiments that the proposed UGPMs outperform the standard preintegration method by an order of magnitude. Additionally, we demonstrate that the UGPMs can be integrated into off-the-shelf multi-modal estimation frameworks with ease based on lidar-inertial, RGBD-inertial, and visual-inertial real-world experiments.
An MEG study of picture naming

n The purpose of this study was to relate a psycholinguistic processing model of picture naming to the dynamics of cortical activation during picture naming. The activation was recorded from eight Dutch subjects with a whole-head neuromagne-tometer. The processing model, based on extensive naming latency studies, is a stage model. In preparing a picture’s name, the speaker performs a chain of speciªc operations. They are, in this order, computing the visual percept, activating an appropriate lexical concept, selecting the target word from the mental lexicon, phonological encoding, phonetic encoding, and initiation of articulation. The time windows for each of these operations are reasonably well known and could be related to the peak activity of dipole sources in the individual magnetic response patterns. The analyses showed a clear progression over these time windows from early occipital activation, via parietal and temporal to frontal activation. The major speciªc ªndings were that (1) a region in the left posterior temporal lobe, agreeing with the location of Wernicke’s area, showed prominent activation starting about 200 msec after picture onset and peaking at about 350 msec, (i.e., within the stage of phonological encoding), and (2) a consistent activation was found in the right parietal cortex, peaking at about 230 msec after picture onset, thus preceding and partly overlap-ping with the left temporal response. An interpretation in terms of the management of visual attention is proposed. n
A random subset implementation of weighted quantile sum (WQSRS) regression for analysis of high-dimensional mixtures

Abstract Here we introduce a novel implementation of weighted quantile sum (WQS) regression, a modeling strategy for mixtures analyses, which integrates a random subset algorithm in the estimation of mixture effects. We demonstrate the application of this method (WQSRS) in three case examples, with mixtures varying in size from 34 to 472 variables. In evaluating each case, we provide detailed simulation studies to characterize the sensitivity and specificity of WQSRS in varying contexts. Our results emphasize that WQSRS is robustly effective in evaluating mixture effects in diverse high-dimensional contexts, yielding sensitivity and specificity in empirical contexts of approximately 73–75% and 73–89%, respectively.
The Beduin of the Negev.

A report on the plight of Beduin Arabs within the state of Israel, who form about 15% of the 18% Arab minority. Despite being Israeli citizens, the Beduin have few electoral rights and still fewer land rights. The report concentrates on these two issues, and provides an historical perspective. Members of various Beduin tribes recount their experiences since 1948, illustrating their decline from an economically independent people, living on and farming land which had been theirs for hundreds of years, to a minority within a powerful country, forced to give up their land, live in townships and provide low paid labour. The author asserts that the Israeli government is imposing living conditions and legal limitations upon the Beduin which are directly contrary to the UN Universal Declaration of Human Rights. She suggests that Beduin land rights should be restored, and their settlements allowed elected councils and budgets on the same terms as Jewish-Israeli settlements. The report concludes by listing authorities and individuals to which those concerned with promoting these aims may write and express their views.