Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulatory mechanism and research progress of ferroptosis in obstetrical and gynecological diseases

Ferroptosis is a novel type of regulated cell death driven by iron-dependent lipid peroxidation, which is distinguished from traditional types of programmed cell death, such as apoptosis, proptosis and necrosis et al. Impaired iron homeostasis, lipid peroxidation and antioxidants depletion are three hallmarks of ferroptosis. Over the past years, emerging studies support the notion that ferroptosis might be involved in the pathology of obstetrical and gynecological diseases, including preeclampsia (PE), endometriosis (EMs) and polycystic ovarian syndrome (PCOS). In the PE condition, the high sensitivity of trophoblasts towards ferroptosis has been found to potentially link to inflammation, suboptimal vascular remodeling and aberrant hemodynamics, which are three prominent pathophysiological features of PE. As for EMs, compromised ferroptosis of endometrial cells was associated with the formation ectopic lesions, whereas in the nearby lesions, the presence of ferroptosis was suggested to promote the progression of EMs, contributing to the relative clinical manifestations. Ferroptosis has been implicated a crucial role in the initiation of ovarian follicular atresia, which might help to manage ovulation in PCOS patients. Taken together, this review explored the basis of ferroptosis mechanisms and comprehensively summarized the latest discovery of roles of ferroptosis on PE, EMs and PCOS, gaining a deeper insight into the pathogenesis of these obstetrical and gynecological diseases and investigation of novel therapeutic interventions.
Normal redefined: Exploring decontextualization of lorises (Nycticebus & Xanthonycticebus spp.) on social media platforms

Introduction Decontextualization is a concept from psychology whereby new words are learned outside of the context of the here-and-now. Decontextualized language is used for discussing abstract concepts and is crucial to the development of academic language. When it comes to images, a dearth of context can lead to a lack of clarity, such as the use of ambiguous decontextualized images in environmental communication, leading to the promotion of greenwashing. Here we refer to decontextualization as the removal of wildlife from their wild ecological context. Images and videos of globally threatened species are increasingly popular on social media. Showing such taxa alongside humans may impact public perceptions of their abundance and need for conservation and can increase illegal trade. One group of animals that are particularly popular on social media platforms are the slow and pygmy lorises (Nycticebus spp., Xanthonycticebus spp.). Methods Here, we examined 100 videos from three popular social media platforms (YouTube, TikTok, and Giphy) to calculate how often and in which ways these videos remove slow lorises from their natural ecological and behavioural context. We also examined views and likes to determine viewer engagement trends. We used relevant content from each site to assess the presence of decontextualization using five conditions. Results In all but two videos, conditions of decontextualization were present and 77% of all videos had four to five conditions of decontextualization. Using Spearman correlation, we found a significant effect of decontextualization scores on the number of views and likes for YouTube and TikTok videos. Views were significantly higher when videos presented animals in anthropogenic settings (i.e., in human-made structures or in proximity of human artefacts). Additionally, views on TikTok and YouTube were significantly higher when animals displayed signs of stress or ill health and when they were in unnatural conditions. Discussion Our case study of lorises provides an example of the danger of decontextualizing wild animals on social media. Public preference for imagery where animals are neglected is indicative that better guidelines need to be put in place and policed by social media platforms. Additionally, conservationists need to develop strategies to promote wild imagery and further explore decontextualization if we are to understand and address the drivers of the rampant illegal wildlife trade online.
Production and reception of human resource management practices for health promotion

Organizations thrive when there is a healthy relationship between people, i.e., where there is high social capital. Human resource management practices (HRMP) contribute to promoting social capital and mental health in organizations. However, there remains a gap in the literature on practices to promote mental health, as well as on the difference in perception of the function of the practices between those who promote them and those who receive them. Thus, this study aimed to identify what HRMP oriented toward mental health promotions are, how they are perceived, and whether there is variation among these perceptions. Twenty managers and 11 subordinates were interviewed. To achieve the first two objectives, a content analysis was performed, and for the last, a lexical analysis. In the content analysis, the following categories emerged for both groups: work organization and idiosyncratic deals and affective social support. Only in the managers did the categories of informational support, communication, and maintaining good interpersonal relationships emerge. The lexical analysis suggested that managers perceive task-related practices as promoting mental health, while teams attribute importance to affective social support practices. HRMP psychological principles were described. Social support practices should be adopted as human resource protective strategies for mental health.
Practice to pitch: The relationship between force-velocity profiles and match-day performance of semi-professional rugby union players

Introduction This exploratory study aimed to assess the relationship between athlete neuromuscular performance and rugby performance indicators. Specifically, the study looked at the force-velocity profiles (FVPs) derived from four common resistance exercises and their relationship with rugby performance indicators (RPIs). Methods The study recruited twenty-two semi-professional male rugby players (body mass 102.5 ± 12.6 kg, height 1.85 ± 0.74 m, age 24.4 ± 3.4 years) consisting of ten backs and twelve forwards. Prior to the first game of a Covid-impacted nine-match season, participants performed four common resistance exercises (barbell box squat, jammer push-press, sled pull, and sled push) at incremental loads to establish force-velocity profiles. During the season, rugby performance indicators (post-contact metres, tries, turnovers conceded, tackles, try assists, metres ran, defenders beaten, and tackle breaks) were collated from two trusted sources by a performance analyst. Correlational analyses were used to determine the relationship between the results of FVPs and RPIs. Results The study found a statistically significant, moderate, positive correlation between tackle-breaks and sled push V0 (r = .35, p = .048). Significant, large, positive correlations were also found between tackles and jammer push-press V0 (r = .53, p = .049) and tackle-breaks and sled pull F0 (r = .53, p = .03). There was a significant, negative relationship between sled pull V0 and tackle-breaks (r = −.49, p = .04). However, the largest, significant correlation reported was between metres ran and sled pull F0 (r = .66, p = .03). Conclusion The study suggests that a relationship may exist between FVPs of particular exercises and RPIs, but further research is required to confirm this. Specifically, the results suggest that horizontal resistance training may be best to enhance RPIs (tackle-breaks, tackles, and metres ran). The study also found that maximal power was not related to any rugby performance indicator, which suggests that a specified prescription of either force or velocity dominant exercises to enhance RPIs may be warranted.
Toward a more nuanced understanding of probability estimation biases

In real life, we often have to make judgements under uncertainty. One such judgement task is estimating the probability of a given event based on uncertain evidence for the event, such as estimating the chances of actual fire when the fire alarm goes off. On the one hand, previous studies have shown that human subjects often significantly misestimate the probability in such cases. On the other hand, these studies have offered divergent explanations as to the exact causes of these judgment errors (or, synonymously, biases). For instance, different studies have attributed the errors to the neglect (or underweighting) of the prevalence (or base rate) of the given event, or the overweighting of the evidence for the individual event (‘individuating information’), etc. However, whether or to what extent any such explanation can fully account for the observed errors remains unclear. To help fill this gap, we studied the probability estimation performance of non-professional subjects under four different real-world problem scenarios: (i) Estimating the probability of cancer in a mammogram given the relevant evidence from a computer-aided cancer detection system, (ii) estimating the probability of drunkenness based on breathalyzer evidence, and (iii & iv) estimating the probability of an enemy sniper based on two different sets of evidence from a drone reconnaissance system. In each case, we quantitatively characterized the contributions of the various potential explanatory variables to the subjects’ probability judgements. We found that while the various explanatory variables together accounted for about 30 to 45% of the overall variance of the subjects’ responses depending on the problem scenario, no single factor was sufficient to account for more than 53% of the explainable variance (or about 16 to 24% of the overall variance), let alone all of it. Further analyses of the explained variance revealed the surprising fact that no single factor accounted for significantly more than its ‘fair share’ of the variance. Taken together, our results demonstrate quantitatively that it is statistically untenable to attribute the errors of probabilistic judgement to any single cause, including base rate neglect. A more nuanced and unifying explanation would be that the actual biases reflect a weighted combination of multiple contributing factors, the exact mix of which depends on the particular problem scenario.
Integrated single-cell RNA-seq analysis reveals the vital cell types and dynamic development signature of atherosclerosis

Introduction: In the development of atherosclerosis, the remodeling of blood vessels is a key process involving plaque formation and rupture. So far, most reports mainly believe that macrophages, smooth muscle cells, and endothelial cells located at the intima and media of artery play the key role in this process. Few studies had focused on whether fibroblasts located at adventitia are involved in regulating disease process. Methods and results: In this study, we conducted in-depth analysis of single-cell RNA-seq data of the total of 18 samples from healthy and atherosclerotic arteries. This study combines several analysis methods including transcription regulator network, cell-cell communication network, pseudotime trajectory, gene set enrichment analysis, and differential expression analysis. We found that SERPINF1 is highly expressed in fibroblasts and is involved in the regulation of various signaling pathways. Conclusion: Our research reveals a potential mechanism of atherosclerosis, SERPINF1 regulates the formation and rupture of plaques through the Jak-STAT signaling pathway, which may provide new insights into the pathological study of disease. Moreover, we suggest that SRGN and IGKC as potential biomarkers for unstable arterial plaques.
NF-kB and the CLL microenvironment

Chronic lymphocytic leukemia (CLL) is the most prevalent type of leukemia in the western world. Despite the positive clinical effects of new targeted therapies, CLL still remains an incurable and refractory disease and resistance to treatments are commonly encountered. The Nuclear Factor-Kappa B (NF-κB) transcription factor has been implicated in the pathology of CLL, with high levels of NF-κB associated with disease progression and drug resistance. This aberrant NF-κB activation can be caused by genetic mutations in the tumor cells and microenvironmental factors, which promote NF-κB signaling. Activation can be induced via two distinct pathways, the canonical and non-canonical pathway, which result in tumor cell proliferation, survival and drug resistance. Therefore, understanding how the CLL microenvironment drives NF-κB activation is important for deciphering how CLL cells evade treatment and may aid the development of novel targeting therapeutics. The CLL microenvironment is comprised of various cells, including nurse like cells, mesenchymal stromal cells, follicular dendritic cells and CD4+ T cells. By activating different receptors, including the B cell receptor and CD40, these cells cause overactivity of the canonical and non-canonical NF-κB pathways. Within this review, we will explore the different components of the CLL microenvironment that drive the NF-κB pathway, investigating how this knowledge is being translated in the development of new therapeutics.
Online collaborative Padlet-mediated learning in health management studies

Introduction The Padlet interactive platform constitutes a virtual online board on which users can post various types of multimedia content, such as documents, questions, comments, images, video clips, and audio clips. This platform has gained popularity in higher education yet remains ancillary in the fields of medical education and medical management. Methods This case study sought to initially design an intervention program that employs online collaborative learning enabled by Padlet and to assess how Health Management students perceived the activity and its ramifications for their learning. 85 students’ reflective journals were content analyzed. Results five main categories stood out: (1) user experience of the platform; (2) visuality and visibility of the platform; (3) collaborative learning and OCL; (4) active online learning and student engagement; and (5) cognitive flexibility. Discussion This study emphasizes the importance of incorporating digital tools in education, particularly the use of the Padlet platform to facilitate collaborative learning and improve the quality of teaching and learning. It demonstrates that Padlet-mediated online collaborative learning can be an effective digital learning tool because of its ease of use and ability to accommodate both pedagogical and technological challenges.
Cerebellar control of thalamocortical circuits for cognitive function: A review of pathways and a proposed mechanism

There is general agreement that cerebrocerebellar interactions via cerebellothalamocortical pathways are essential for a cerebellar cognitive and motor functions. Cerebellothalamic projections were long believed target mainly the ventral lateral (VL) and part of the ventral anterior (VA) nuclei, which project to cortical motor and premotor areas. Here we review new insights from detailed tracing studies, which show that projections from the cerebellum to the thalamus are widespread and reach almost every thalamic subnucleus, including nuclei involved in cognitive functions. These new insights into cerebellothalamic pathways beyond the motor thalamus are consistent with the increasing evidence of cerebellar cognitive function. However, the function of cerebellothalamic pathways and how they are involved in the various motor and cognitive functions of the cerebellum is still unknown. We briefly review literature on the role of the thalamus in coordinating the coherence of neuronal oscillations in the neocortex. The coherence of oscillations, which measures the stability of the phase relationship between two oscillations of the same frequency, is considered an indicator of increased functional connectivity between two structures showing coherent oscillations. Through thalamocortical interactions coherence patterns dynamically create and dissolve functional cerebral cortical networks in a task dependent manner. Finally, we review evidence for an involvement of the cerebellum in coordinating coherence of oscillations between cerebral cortical structures. We conclude that cerebellothalamic pathways provide the necessary anatomical substrate for a proposed role of the cerebellum in coordinating neuronal communication between cerebral cortical areas by coordinating the coherence of oscillations.
Using machine learning methods to predict dry matter intake from milk mid-infrared spectroscopy data on Swedish dairy cattle

Abstract In this research communication we compare three different approaches for developing dry matter intake (DMI) prediction models based on milk mid-infrared spectra (MIRS), using data collected from a research herd over five years. In dairy production, knowledge of individual DMI could be important and useful, but DMI can be difficult and expensive to measure on most commercial farms as cows are commonly group-fed. Instead, this parameter is often estimated based on the age, body weight, stage of lactation and body condition score of the cow. Recently, milk MIRS have also been used as a tool to estimate DMI. There are different methods available to create prediction models from large datasets. The main data used were total DMI calculated as a 3-d average, coupled with milk MIRS data available fortnightly. Data on milk yield and lactation stage parameters were also available for each animal. We compared the performance of three prediction approaches: partial least-squares regression, support vector machine regression and random forest regression. The full milk MIRS alone gave low to moderate prediction accuracy (R2 = 0.07–0.40), regardless of prediction modelling approach. Adding more variables to the model improved R2 and decreased the prediction error. Overall, partial least-squares regression proved to be the best method for predicting DMI from milk MIRS data, while MIRS data together with milk yield and concentrate DMI at 3–30 d in milk provided good prediction accuracy (R2 = 0.52–0.65) regardless of the prediction tool used.
A review on the seasonal succession and management of key insect pests infesting tomatoes

: Tomatoes have become one of the most significant and profitable vegetable crops farmed for the fresh market and processing in tropical and subtropical parts of the globe and they are an important element of human nutrition. Tomatoes, like other vegetables, are more susceptible to insect pests and illnesses than other crops, owing to their sensitivity and softness. Insect pests are among the many causes that cause low tomato yields including the fruit borer, jassid, white fly, aphid and leaf miner. On the other hand, enough understanding about the seasonal abundance of insect pests is required for the formulation and implementation of an appropriate, effective, and timely pest management approach. The current demand focuses not only on the use of various eco-friendly chemical groups
The Boltzmann equation in general relativistic rotating systems : cooling of rotating neutron stars

We derive the general relativistic Boltzmann equation for massless particles in a stationary axisymmetric metric. The energy and angles of the particles are written in the comoving frame in order to use the local expressions for the collision terms. The zero and first-order moment equations in both spectral integrated and nonintegrated form are obtained. From these we derive the thermal equilibrium condition and the diffusion approximation in a relativistic rotating axisymmetric star. We check the equations by recovering the spherically symmetric case and the heat conduction approximation (equilibrium diffusion limit) for axisymmetry
Asymptotical stability in discrete-time neural networks

In this work, we present a proof of the existence of a fixed point and a generalized sufficient condition that guarantees the stability of it in discrete-time neural networks by using the Lyapunov function method. We also show that for both symmetric and asymmetric connections, the unique attractor is a fixed point when several conditions are satisfied. This is an extended result of Chen and Aihara (see Physica D, vol. 104, no. 3/4, p. 286-325, 1997). In particular, we further study the stability of equilibrium in discrete-time neural networks with the connection weight matrix in form of an interval matrix. Finally, several examples are shown to illustrate and reinforce our theory.
The dimension theory of certain cardinal algebras

Introduction. The von Neumann-Murray dimension theory of operator algebras [6] has been given an abstract setting by several authors, notably by Loomis [3] and Maeda [4] in the domain of lattice theory, and by Kaplansky in his theories of ^4W*-algebras [1] and Baer*-rings [2]. The equivalence classes of a dimension lattice possess many of the properties of a generalised cardinal algebra (GCA) [9] ; the purpose of this paper is to investigate this similarity. After a preliminary result on the axiomatization of GCA's we are able to show that the equivalence classes form a GCA. This is followed by an investigation of the structure of the resulting GCA's, leading to the representation of certain of them as algebras of continuous functions. Unfortunately, some of the dimension theory arguments needed here require completeness, whereas cardinal algebras have only cr-completeness. To overcome this difficulty we make the natural assumption, namely, the countable chain condition, with satisfactory results. We recall now some pertinent notions and results. A cardinal algebra (CA)is an algebraic system consisting of a set A, a binary operation + , and an operation Zof countable rank satisfying conditions 1.1 I—1.1 VII of [9]. The first five of these assert that A is closed under the operations, that Z is a generalization of + , that there is a zero element, and that the operations are unrestrictedly commutative and associative. VI Refinement Postulate. If a + b = Zef, then there are elements a0, ay , ■■■ and b0 , bx , ••• such that a = Hai, b = Zbi, and ai + bi = ci for all i. VII Remainder Postulate. Ifa„ = an + X + bn for all n, then there is an element c such that a„ = c + Hibn + ifor all n. (We make the agreement that, unless explicitly stated to the contrary, any index which appears will range over the non-negative integers.) In a generalized cardinal algebra (GCA) the operations need not always be defined, but conditions I-VII, when provided with suitable existential assumptions, are satisfied. Although we shall usually work with CA's , GCA's are perhaps more suitable for our purposes. This is because any w*-algebra of operators gives rise to a