Miracle-dz/UniFAR-FTUs huggingface dataset:
The relationship between the accuracy of curling athletes’ duration judgment and delivery performance

Objective Time perception is a critical point for curling athletes to have in order to successfully complete interactions between themselves and their environment. Exploring the relationship between the accuracy of duration judgment and curling athletes’ performance is helpful to reveal the influencing factors on their performance and to provide a reference for the training of athletes’ delivery performance. Methods Thirty curling athletes and 30 non-athletes were recruited as participants. Using 3D modeling technology, curling videos of different situations were presented to the participants as stimulus information, and the participants were required to complete the duration judgment task. The neural activation of the participants during the entire process of duration judgment was recorded using electroencephalogram (EEG) equipment. The performance of the 30 curlers participating in the experiment was measured. Variance analyses were conducted on the collected behavioral and EEG data, and correlation and regression analyseswere conducted between behavioral data and delivery performance. Results The accuracy of the distance judgment of curlers was higher than that of non-curlers (P < 0.05). In the stimulus video presentation stage, the power in the alpha band of curlers was higher than that of non-athletes (P < 0.05). In the task decision stage, the power in the alpha band of curlers was higher than that of non-athletes (P < 0.05), and the power in the theta band was higher than that of non-athletes (P < 0.05). There was a correlation between the accuracy of the curlers’ perception of specific situational time intervals and the accuracy of delivery (P < 0.05). Regression analysis results were y = 3.422 + 1.415x. Conclusion The accuracy of curling athletes’ duration judgment is high in a specific situation. There is a correlation between the accuracy of duration judgment and delivery performance in a specific situation: the higher the accuracy of specific duration perception, the higher the performance accuracy of delivery. The cognitive strategies adopted by curlers differ from those adopted by non-athletes in the completion of duration judgment. Specifically, in a specific situation, fewer attention resources are utilized in the stimulus presentation and decision-making stages, while more memory resources are utilized in the decision-making stage to ensure higher accuracy of interval judgment. This study provides a new idea for exploring the causes of curling athletes’ excellent technical performance and provides a reference for future curling research on competition training practice. Given the limitations of mobile EEG devices in this study, future studies can measure neural activity during actual delivery preparation and execution in an environment of high ecological validity to obtain more direct evidence.
Validez factorial de la escala de desvinculación moral de Bandura en población mexicana

El constructo de desvinculación moral tiene implicaciones muy importantes en el estudio de diversos fenómenos psicosociales. Ante la ausencia del análisis de las propiedades psicométricas de la escala de desvinculación moral de Bandura en población mexicana, el objetivo de esta investigación fue la obtención de evidencias de validez factorial y confiabilidad de dicha escala. Como hipótesis central de esta investigación, se consideró que la escala podría mantener las dimensiones estructurales reportadas en la versión original, así como la fusión de los ocho mecanismos propuestos por Bandura en un factor de segundo orden. La muestra estuvo conformada por 480 estudiantes universitarios de tres instituciones públicas de nivel superior. Los resultados mostraron que el modelo con una estructura de primer orden en su versión adaptada al español, incluyendo los 32 reactivos propuestos originalmente, presentó características psicométricas adecuadas; sin embargo, el modelo de segundo orden mostró una mejor variabilidad observada en las puntuaciones de 27 reactivos. Además, todos los reactivos tuvieron un valor adecuado con respecto a los índices de bondad de ajuste, así como una suficiente variabilidad explicada tanto en las mujeres como en los hombres. El análisis de fiabilidad de esta escala indica que posee una elevada consistencia interna (α = .89). Con base en estas evidencias, se concluyó que esta escala es un instrumento válido y fiable para evaluar la desvinculación moral en la población general.
Human Superantibodies to 3CLpro Inhibit Replication of SARS-CoV-2 across Variants

Broadly effective and safe anti-coronavirus agent is existentially needed. Major protease (3CLpro) is a highly conserved enzyme of betacoronaviruses. The enzyme plays pivotal role in the virus replication cycle. Thus, it is a good target of a broadly effective anti-Betacoronavirus agent. In this study, human single-chain antibodies (HuscFvs) of the SARS-CoV-2 3CLpro were generated using phage display technology. The 3CLpro-bound phages were used to infect Escherichia coli host for the production the 3CLpro-bound HuscFvs. Computerized simulation was used to guide the selection of the phage infected-E. coli clones that produced HuscFvs with the 3CLpro inhibitory potential. HuscFvs of three phage infected-E. coli clones were predicted to form contact interface with residues for 3CLpro catalytic activity, substrate binding, and homodimerization. These HuscFvs were linked to a cell-penetrating peptide to make them cell-penetrable, i.e., became superantibodies. The superantibodies blocked the 3CLpro activity in vitro, were not toxic to human cells, traversed across membrane of 3CLpro-expressing cells to co-localize with the intracellular 3CLpro and most of all, they inhibited replication of authentic SARS-CoV-2 Wuhan wild type and α, β, δ, and Omicron variants that were tested. The superantibodies should be investigated further towards clinical application as a safe and broadly effective anti-Betacoronavirus agent.
Above- and below-ground trait coordination in tree seedlings depend on the most limiting resource: a test comparing a wet and a dry tropical forest in Mexico

The study of above- and below-ground organ plant coordination is crucial for understanding the biophysical constraints and trade-offs involved in species’ performance under different environmental conditions. Environmental stress is expected to increase constraints on species trait combinations, resulting in stronger coordination among the organs involved in the acquisition and processing of the most limiting resource. To test this hypothesis, we compared the coordination of trait combinations in 94 tree seedling species from two tropical forest systems in Mexico: dry and moist. In general, we expected that the water limitation experienced by dry forest species would result in stronger leaf-stem-root coordination than light limitation experienced by moist forest species. Using multiple correlations analyses and tools derived from network theory, we found similar functional trait coordination between forests. However, the most important traits differed between the forest types. While in the dry forest the most central traits were all related to water storage (leaf and stem water content and root thickness), in the moist forest they were related to the capacity to store water in leaves (leaf water content), root efficiency to capture resources (specific root length), and stem toughness (wood density). Our findings indicate that there is a shift in the relative importance of mechanisms to face the most limiting resource in contrasting tropical forests.
First thoughts about variable star analysis

The Gaia mission characteristics permit to estimate its impact on the variable star research. During its five-year operation Gaia will produce about 100 photometric measurements in each passband of the Sloan system for about 1 billion stars. Thanks to our knowledge of the Hipparcos data and the similarities between these two missions, we can forecast that Gaia will detect tens of millions of new variable stars.
Renal Protective Mechanisms of Shenyuan Particle in Db/Db Mice: A Study Based on Network Pharmacology

Aim The renal protective mechanisms of Shenyuan particle (SYP) in the treatment of diabetic kidney disease (DKD) were investigated, focusing on the main targets and pathways. Materials and Methods In this study, the potential targets of compounds identified in SYP were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and a “herb-compound-target” network was constructed via Cytoscape. Next, the Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were dissected using R language. A protein-protein interaction network was fabricated using STRING to obtain the main target information. In addition, db/db mice were used as the DKD models to explore the renal protective effects of SYP. Transmission electron microscopy, western blot, pathological staining, TUNEL staining, and biochemical methods were used to identify the apoptotic pathways and establish the primary mechanism of SYP. Results Network pharmacology analysis revealed 67 potential targets based on the analysis of different databases. The targets of SYP were primarily associated with apoptosis. The network hub genes included caspase 3, caspase 7, caspase 8, caspase 9, Bax, and Bcl-2. In vivo, SYP materially improved renal function and inhibited apoptosis in the db/db mouse kidneys by improving the mitochondrial health. In addition, our results showed that SYP significantly decreased the expression of Bax, caspase 3, and Cyto-c and increased the expression of Bcl-2. Conclusions Network pharmacology analysis and experimental results suggest that SYP ameliorates DKD mediated via multiple components, targets, and pathways. Our study further demonstrates that SYP inhibits apoptosis in the kidneys of db/db mice by improving the mitochondrial health and thereby alleviating renal damage.
An AAV-Based NF-κB-Targeting Gene Therapy (rAAV-DMP-miR533) to Inflammatory Diseases

Background The inflammatory diseases pose a great threat to human health. Variant anti-inflammatory agents have been therefore developed. However, the current anti-inflammatory drugs are still challenged by low response and side effects. There remain great unmet treatments to inflammatory diseases. Methods In this work, we fabricate a recombinant adeno-associated virus (rAAV), rAAV-DMP-miR533, by packaging a DNA molecule DMP-miR533 into AAV, in which DMP is a NF-κB-activatable promoter composed of a NF-κB decoy and a minimal promoter and miR533 codes an artificial microRNA targeting NF-κB RELA. We evaluate the in vitro and in vivo anti-inflammatory effect of the virus with inflammatory cells and the mice of three typical inflammatory diseases including the dextran sulphate sodium-induced acute colitis, imiquimod-induced psoriasis, and collagen-induced arthritis. Results We found that rAAV-DMP-miR533 had marked anti-inflammatory effect in both cells and mice. In addition, rAAV-DMP-miR533 showed biosafety in mice. Conclusion This study thus provides a promising gene therapy to variant inflammatory diseases by directly targeting NF-κB, an established hub regulator of inflammation.
Analysing workplace spirituality as a mediator in the link between job satisfaction and organisational citizenship behaviour

PurposeWithout competent and talented employees, no organisation can grow and sustain for a long time. It becomes essential for every organisation to retain and satisfy the employees to achieve their predetermined organisational goals. The present study examines the mediating effect of workplace spirituality dimensions (i.e. meaningful work, compassion, transcendence, mindfulness and sense of community) in the link between job satisfaction and organisational citizenship behaviour (OCB) among managerial employees of selected manufacturing firms of Chhattisgarh state.Design/methodology/approachCorrelational research design was incorporated. Employees working at managerial positions at different private manufacturing firms of Chhattisgarh state were chosen as a sample for the present study. Regression analysis and confirmatory factor analysis tools were used to analyse the primary data collected from 400 respondents.FindingsThe results revealed that all the dimensions of workplace spirituality, i.e. meaningful work, compassion, transcendence, mindfulness and sense of community, were found statistically significant and partially mediated between job satisfaction and OCB among managerial employees of Chhattisgarh. The authors discussed the results thoroughly and provided avenues for the future research.Research limitations/implicationsThe findings of the present research study will assist all private organisations in rethinking their employee retention and satisfaction strategies, since the presence of workplace spirituality in the organisation has a significant and beneficial impact on its environment. The current research will assist organisations in creating circumstances for OCB for employee via the introduction of workplace spirituality.Originality/valueCreating spirituality in the current situation, where Covid-19 has suddenly affected all organisations around the world, would be extremely beneficial in terms of employee retention and satisfaction, which would eventually aid in the development of an environment conducive to citizenship behaviour at the workplace. However, the role of workplace spirituality as a mediator in the link between job satisfaction and OCB is innovative and has received little attention in the research community.
Advancing research into the social psychology of sexual orientations and gender identities: Current research and future directions

Over the past decades, LGBTQ + issues have been at the centre of politics, social movements, and human rights discussions across the world. Consistent with these developments, there is a growing interest in social psychological research into sexual orientation and gender identities. The emerging research not only taps recent societal developments and the effects of these on LGBTQ + people; but also focuses on very old research questions of stereotypes and prejudice that are still relevant today. In this special issue, we bring together nine papers addressing several of these issues using qualitative, correlational, and experimental methods with sexual majority and minority samples across differentcultural contexts. We discuss the current stateof thefieldand how further research could enhance our understanding of LGBTQ + issues.
Vertical Land Motion of the High Plains Aquifer Region of the United States: Effect of Aquifer Confinement Style, Climate Variability, and Anthropogenic Activity

We use GPS data to image vertical crustal velocities in the vicinity of the Great Plains physiographic province of the United States. In the southern Great Plains, we find crustal uplift of up to 2 mm/year in an area approximately 670 km × 280 km. This signal is spatially correlated with the area of greatest groundwater decline in the southern High Plains aquifer. To determine the uplift mechanism and its possible relation to aquifer depletion, we investigate changes in aquifer water content. Gravity data coupled with an elastic model show the uplift rate is consistent with hydrological unloading from anthropogenic aquifer depletion exacerbated by severe drought. Our model that encompasses two regions of greatest groundwater decline indicates a water volume loss of −5.1 km3/year is sufficient to match the observed signal. In other large aquifers, vertical crustal motions associated with groundwater depletion are often dominated by near‐field subsidence. Our results challenge the perception that vertical motions driven by aquifer depletion necessarily equate to near‐field subsidence. In the High Plains system, depletion causes near‐field uplift because of the combination of mass removal and the style of geologic reservoir. As current climate change models predict aggravated drought conditions in the southern Great Plains in the coming decades, we expect to see an increasing rate of uplift caused by groundwater depletion unless there is offsetting recharge or changes in water resource management.
Parametric Ambisonic Encoding of Arbitrary Microphone Arrays

This article proposes a parametric signal-dependent method for the task of encoding microphone array signals into Ambisonic signals. The proposed method is presented and evaluated in the context of encoding a simulated seven-sensor microphone array, which is mounted on an augmented reality headset device. Given the inherent flexibility of the Ambisonics format, and its popularity within the context of such devices, this array configuration represents a potential future use case for Ambisonic recording. However, due to its irregular geometry and non-uniform sensor placement, conventional signal-independent Ambisonic encoding is particularly limited. The primary aims of the proposed method are to obtain Ambisonic signals over a wider frequency band-width, and at a higher spatial resolution, than would otherwise be possible through conventional signal-independent encoding. The proposed method is based on a multi-source sound-field model and employs spatial filtering to divide the captured sound-field into its individual source and directional ambient components, which are subsequently encoded into the Ambisonics format at an arbitrary order. It is demonstrated through both objective and perceptual evaluations that the proposed parametric method outperforms conventional signal-independent encoding in the majority of cases.
INSPECTION AND QUALITY CHECKING OF CERAMIC CUP USING MACHINE VISION TECHNIQUE: DESIGN AND ANALYSIS

The development of inspection and quality checking using machine vision technique are discussed where the design of the algorithm mainly to detect the sign of defect when a sample product is used for inspection purposes. There are several constraints that a machine need to be improved based on technology used in vision application. CMOS image sensor as well as programming language and open source computer vision library were used in designing the inspection method. Experimental set-up was conducted to test the proposed technique for evaluate the effectiveness process. The experimental results were obtained and represented in graphical and image processing form. Besides, analysis and discussion were made according to obtained results. The proposed technique is able to perform the inspection process using good and defect ceramic cup based on detection technique. Moreover, based on the analysis gathered, the proposed technique able to differentiate between good and defect ceramic cup. The result shows that there is a difference frequency by 236 which is 2% of total value in pixels frequency. The frequency indicated as pixel frequency of image using histogram method based on scaled value of image.
Acoustic Emission Signatures of Fatigue Damage in Idealized Bevel Gear Spline for Localized Sensing

In many rotating machinery applications, such as helicopters, the splines of an externally-splined steel shaft that emerges from the gearbox engage with the reverse geometry of an internally splined driven shaft for the delivery of power. The splined section of the shaft is a critical and non-redundant element which is prone to cracking due to complex loading conditions. Thus, early detection of flaws is required to prevent catastrophic failures. The acoustic emission (AE) method is a direct way of detecting such active flaws, but its application to detect flaws in a splined shaft in a gearbox is difficult due to the interference of background noise and uncertainty about the effects of the wave propagation path on the received AE signature. Here, to model how AE may detect fault propagation in a hollow cylindrical splined shaft, the splined section is essentially unrolled into a metal plate of the same thickness as the cylinder wall. Spline ridges are cut into this plate, a through-notch is cut perpendicular to the spline to model fatigue crack initiation, and tensile cyclic loading is applied parallel to the spline to propagate the crack. In this paper, the new piezoelectric sensor array is introduced with the purpose of placing them within the gearbox to minimize the wave propagation path. The fatigue crack growth of a notched and flattened gearbox spline component is monitored using a new piezoelectric sensor array and conventional sensors in a laboratory environment with the purpose of developing source models and testing the new sensor performance. The AE data is continuously collected together with strain gauges strategically positioned on the structure. A significant amount of continuous emission due to the plastic deformation accompanied with the crack growth is observed. The frequency spectra of continuous emissions and burst emissions are compared to understand the differences of plastic deformation and sudden crack jump. The correlation of the cumulative AE events at the notch tip and the strain data is used to predict crack growth. The performance of the new sensor array is compared with the conventional AE sensors in terms of signal to noise ratio and the ability to detect fatigue cracking.
Book Review: IARC handbooks of cancer prevention, volume 18: Cervical cancer screening

Cervical cancer is preventable and curable as long as it is detected early and managed effectively. However, cervical cancer is a global burden as it is the fourth most commonly diagnosed female cancer and the fourth most common cause of female cancer deaths worldwide [1]. In 2020, cervical cancer accounted for approximately 604,000 new cases and 342,000 deaths. The burden of cervical cancer varies markedly across the world, with a 10-fold variation between the highest and lowest incidence rates and a more than 15-fold variation between the highest and lowest mortality rates. The highest cervical cancer incidence and mortality rates are observed in countries with the lowest levels of the Human Development Index. The incidence rates are also higher in countries with a high prevalence of human immunodeficiency virus (HIV) infection or lack of sustained cervical cancer screening programs.
Overparenting and Emerging Adult Development: A Systematic Review

Researchers have investigated the phenomenon of overparenting of emerging adult children and its association with emerging adult development. With the increasing body of research in recent years on this topic, a timely systematic review is needed to gain a better understanding of the literature. This systematic review targets quantitative studies of overparenting and several domains of development (psychological, behavioral, social and relational, learning/academic and career) of emerging adult children (with a sample mean age between 18 to 29) that are published in English in peer-reviewed journals in the past 20 years (2002–2021). A search of four databases (PsycINFO, Web of Science, ERIC, and ASSIA) identified 74 eligible studies between 2002 to 2021. The majority of the studies are theory-driven (n = 65), with self-determination theory being the most used. Study samples ranged from 89 to 2,253, most are of college students (n = 65), from the U.S. (n = 58), and with more female than male participants (n = 65). Almost all studies used a cross-sectional design (n = 70) and at least one of the several established overparenting measures. Various analytical strategies were used, ranging from structural equation modeling to latent class/profile analysis. Findings overwhelmingly suggested negative associations between overparenting and emerging adults’ development in the psychological, behavioral, social and relational, learning/academic and career domains. Some mixed findings were also reported, especially in the learning/academic and career domain. Limitations and future directions are also discussed.