Miracle-dz/UniFAR-FTUs huggingface dataset:
Godly husbands and housework: A global examination of the association between religion and men’s housework participation

In studies seeking to understand cultural and institutional influences on the division of domestic labor, religion has often been left out of the picture in favor of economic, gender and welfare state context. By examining men from 34 countries using 2012 International Social Survey (ISSP) data this study explores the ways in which religion is associated with men’s household labor participation. We utilize individual measures of religiosity as well as cultural zones based on religious and cultural similarity to analyze the effect of predominant religion and religious participation on men’s housework. Differences emerge between men by religious tradition, level of religious attendance, and across cultural zones. Contrary to expectations, we find increased religious participation at the individual and cultural zone levels associated with greater participation in some housework tasks and time spent on housework, though the findings show great variation by task and religious tradition. Our findings indicate two potential paths leading to men’s increased housework participation: a nonreligious, egalitarian one, and a religious, family-centered one.
Rapamycin Inhibited Photoreceptor Necroptosis and Protected the Retina by Activation of Autophagy in Experimental Retinal Detachment

ABSTRACT Purpose: After experimental retinal detachment (RD), the applications of caspase inhibitor z-vad-fmk (a pan-caspase inhibitor) could inhibit apoptosis, but increased receptor interacting protein (RIP)-mediated necroptosis. In this study, we investigated whether rapamycin could inhibit necroptosis and cooperate with z-vad-fmk to protect the retina after RD. Methods: RD animal models were established in Sprague–Dawley rats by subretinal injection of sodium hyaluronate and treated with subretinal injections of z-vad-fmk or z-vad-fmk combined with rapamycin. On day 3 after RD, retinas were collected and analyzed by transmission electron microscopy (TEM), ROS assay, and western blot (for beclin-1, LC-3, RIP-1, AIF). On day 7 after RD, retinas were observed by H&E staining. Vision-dependent behavior of rats was tested by the modified Morris water maze. Results: TEM and H&E staining indicated that rapamycin combined with z-vad-fmk could reduce photoreceptor necrosis and preserve the ONL thickness after RD. The modified Morris water maze test showed that vision-dependent behavior was also significantly improved in the rapamycin + z-vad-fmk group.Western Blotting results demonstrated that rapamycin promoted the activation of autophagy by promoting beclin-1 and LC-3 induction and inhibited z-vad-fmk-induced necroptosis by inhibiting RIP-1 expression. In addition, rapamycin could also inhibit ROS production and AIF release. Conclusions: These findings indicated that rapamycin is a promising therapeutic agent that inhibits z-VAD-induced necroptosis, and protects photoreceptors and improves functional outcome in combination with z-vad-fmk.
Remote Ischemic Preconditioning Prevents Postoperative Acute Kidney Injury After Open Total Aortic Arch Replacement: A Double-Blind, Randomized, Sham-Controlled Trial.

BACKGROUND Acute kidney injury is a common complication after open total aortic arch replacement but lacks effective preventive strategies. Remote ischemic preconditioning has controversial results of its benefit to the kidney and may perform better in high-risk patients of acute kidney injury. We investigated whether remote ischemic preconditioning would prevent postoperative acute kidney injury after open total aortic arch replacement. METHODS We enrolled 130 patients scheduled for open total aortic arch replacement and randomized them to receive either remote ischemic preconditioning (4 cycles of 5-minute right upper limb ischemia and 5-minute reperfusion) or sham preconditioning (4 cycles of 5-minute right upper limb pseudo ischemia and 5-minute reperfusion), both via blood pressure cuff inflation and deflation. The primary end point was the incidence of acute kidney injury within 7 days after the surgery defined by the Kidney Disease: Improving Global Outcomes criteria. Secondary end point included short-term clinical outcomes. RESULTS Significantly fewer patients developed postoperative acute kidney injury with remote ischemic preconditioning compared with sham (55.4% vs 73.8%; absolute risk reduction, 18.5%; 95% CI, 2.3%-34.6%; P = .028). Remote ischemic preconditioning significantly reduced acute kidney injury stage II-III (10.8% vs 35.4%; P = .001). Remote ischemic preconditioning shortened the mechanical ventilation duration (18 hours [interquartile range, 14-33] versus 25 hours [interquartile range, 17-48]; P = .01), whereas no significant differences were observed between groups in other secondary outcomes. CONCLUSIONS Remote ischemic preconditioning prevented acute kidney injury after open total aortic arch replacement, especially severe acute kidney injury and shortened mechanical ventilation duration. The observed renoprotective effects of remote ischemic preconditioning require further investigation in both clinical research and the underlying mechanism.
“Back Home You Just Go Talk to the Family”: The Role of Family Among Women Who Seek Help for Intimate Partner Violence Pre- and Postresettlement to the United States

Gaps in knowledge remain regarding how and from whom women resettling to the United States as refugees seek help for intimate partner violence (IPV), and what happens when they do. This study examined ways in which women seek help for IPV across varied contexts and at different times both pre- and postresettlement. Researchers used a purposive sampling approach to recruit women who resettled to the United States as refugees (n = 35). An inductive approach to thematic analysis led to an examination of the role of family in seeking help for IPV and seeking help in the absence of family. The findings speak to the importance of applying a social support lens to theory, practice, and research concerned with women’s help-seeking for IPV in the resettlement context.
Development of a DNA Barcoding-Like Approach to Detect Mustard Allergens in Wheat Flours

The spread of food allergens is a topic of global importance due to its impact on public health. National and International regulations ask food producers and manufacturers to declare product compositions on the label, especially in case of processed raw materials. Wheat flour (Triticum aestivum) can be contaminated by a wide range of species belonging to the Brassicaceae in the field or during grain harvests, storage, and processing. Among them, mustards (Brassica nigra, Brassica juncea and Sinapis alba) are well known allergenic species. Often, food quality laboratories adopt an ELISA approach to detect the presence of mustard species. However, this approach shows cross-reactivity with other non-allergenic species such as Brassica napus (rapeseed). In the last few years, DNA barcoding was proposed as a valid identification method, and it is now commonly used in the authentication of food products. This study aims to set up an easy and rapid DNA-based tool to detect mustard allergenic species. DNA barcoding (matK and ITS2) and chromosome markers (A6, B, C1 genome regions) were selected, and specific primers were validated on incurred reference food matrices. The developed test was proven to be able to distinguish mustard from rapeseed and wheat, overcoming cross-reactivity with Brassica napus.
Biasing MCTS with Features for General Games

This paper proposes using a linear function approx-imator, rather than a deep neural network (DNN), to bias a Monte Carlo tree search (MCTS) player for general games. This is unlikely to match the potential raw playing strength of DNNs, but has advantages in terms of generality, interpretability and resources (time and hardware) required for training. Features describing local patterns are used as inputs. The features are formulated in such a way that they are easily interpretable and applicable to a wide range of general games, and might encode simple local strategies. We gradually create new features during the same self-play training process used to learn feature weights. We evaluate the playing strength of an MCTS player biased by learnt features against a standard upper confidence bounds for trees (UCT) player in multiple different board games, and demonstrate significantly improved playing strength in the majority of them after a small number of self-play training games.
Substituted naphthalene reaction rates with peroxy-acid treatment: prediction of reactivity using PEST

ABSTRACT Persistent organic contaminants in the environment pose an environmental risk due to widespread occurrence and toxic properties. Advanced oxidation processes (AOPs) are treatment methods that have been used to successfully degrade organic contaminants in water, soil, sediments and sludge. Reaction rate constants (k) for peroxy acid treatment of 10 substituted naphthalene compounds were determined. The treatment method utilized acetic acid, hydrogen peroxide and a sulphuric acid catalyst to degrade the polyaromatic structures found in the compounds. Molecular structures of the selected compounds were derived at the B3LYP/6-31G* level of theory. Property-encoded surface translator (PEST) descriptors were calculated from B3LYP/6-31G* optimized structures and were found to have significant levels of correlation with k. Models using minimum local ionization potential (PIP.MIN) and a histogram [bin] of the gradient of the K electronic kinetic energy normal to the isosurface (DKN) were evaluated and found to agree within 10% of experimentally derived values of k in most instances. Results show that a combination of PEST descriptors could be used to predict reactivity by the peroxy-acid process. The PEST technology could prove to be a valuable asset for effective remediation design by predicting reaction outcomes for substituted naphthalene compounds and possibly other hydrophobic organic compounds (HOCs).
The Effect of Exercise Training on Myocardial and Skeletal Muscle Metabolism by MR Spectroscopy in Rats with Heart Failure

The metabolism and performance of myocardial and skeletal muscle are impaired in heart failure (HF) patients. Exercise training improves the performance and benefits the quality of life in HF patients. The purpose of the present study was to determine the metabolic profiles in myocardial and skeletal muscle in HF and exercise training using MRS, and thus to identify targets for clinical MRS in vivo. After surgically establishing HF in rats, we randomized the rats to exercise training programs of different intensities. After the final training session, rats were sacrificed and tissues from the myocardial and skeletal muscle were extracted. Magnetic resonance spectra were acquired from these extracts, and principal component and metabolic enrichment analysis were used to assess the differences in metabolic profiles. The results indicated that HF affected myocardial metabolism by changing multiple metabolites, whereas it had a limited effect on skeletal muscle metabolism. Moreover, exercise training mainly altered the metabolite distribution in skeletal muscle, indicating regulation of metabolic pathways of taurine and hypotaurine metabolism and carnitine synthesis.
In Vitro Effects of Tea Tree Oil (Melaleuca Alternifolia Essential Oil) and its Principal Component Terpinen-4-ol on Swine Spermatozoa

The growing interest towards essential oils stems from their biological capabilities that include antibacterial and antioxidant effects. Such properties may be extremely useful in the reproductive field; nonetheless essential oils show toxic effects that can lead to cell disruption. The present study aimed to evaluate and compare the effects of tea tree oil (TTO) and its principal component terpinen-4-ol (TER) on the morpho-functional parameters of swine spermatozoa. Experimental samples were prepared by suspending 15 × 107 spermatozoa in 5 mL of medium with different concentrations of the above-mentioned compounds: from 0.2 to 2 mg/mL at an interval of 0.2 for TTO, while TER concentrations were adjusted according to its presence in TTO (41.5%). After 3 h incubation at 16 °C, samples were analyzed for pH, viability, acrosome status, and objective motility. The results highlighted a concentration-dependent effect of TTO with total motility as the most sensitive parameter. TER was better tolerated, and the most sensitive parameters were related to membrane integrity, suggesting a different pattern of interaction. The study confirms the importance of evaluating the effects of natural compounds on spermatozoa before exploiting their beneficial effects. Spermatozoa seem to be good candidates for preliminary toxicological screenings in the light of their peculiar properties.
Bacterial composition of biofilms formed on dairy-processing equipment

Abstract Polymicrobial biofilms often form on the surfaces of food-processing machinery, causing equipment damage and posing a contamination risk for the foods processed by the system. The composition of the microbial communities that make up these biofilms is largely unknown, especially in the dairy industry. To address this deficit, we investigated the bacterial composition of biofilms that form on the surfaces of equipment during dairy processing using Illumina MiSeq sequencing and culture-dependent methods. Illumina sequencing identified eight phyla, comprising six classes, ten orders, fifteen families, eighteen genera, and eighteen species. In contrast, only eight species were isolated from the same samples using the culture-based method. To determine the ability of the identified bacteria to form biofilms, biofilm formation analysis via crystal violet staining was performed. Five of the eight culturable species, Acinetobacter baumannii, Acinetobacter junii, Enterococcus faecalis, Corynebacterium callunae, and Stenotrophomonas maltophilia, were able to form biofilms. Since most of the identified bacteria are potential food-borne or opportunistic pathogens, this study provides guidance for quality control of products produced in dairy processing facilities.
Towards Robust Curve Text Detection With Conditional Spatial Expansion

It is challenging to detect curve texts due to their irregular shapes and varying sizes. In this paper, we first investigate the deficiency of the existing curve detection methods and then propose a novel Conditional Spatial Expansion (CSE) mechanism to improve the performance of curve detection. Instead of regarding the curve text detection as a polygon regression or a segmentation problem, we formulate it as a sequence prediction on the spatial domain. CSE starts with a seed arbitrarily chosen within a text region and progressively merges neighborhood regions based on the extracted local features by a CNN and contextual information of merged regions. The CSE is highly parameterized and can be seamlessly integrated into existing object detection frameworks. Enhanced by the data-dependent CSE mechanism, our curve text detection system provides robust instance-level text region extraction with minimal post-processing. The analysis experiment shows that our CSE can handle texts with various shapes, sizes, and orientations, and can effectively suppress the false-positives coming from text-like textures or unexpected texts included in the same RoI. Compared with the existing curve text detection algorithms, our method is more robust and enjoys a simpler processing flow. It also creates a new state-of-art performance on curve text benchmarks with F-measurement of up to 78.4$\%$.
Consciousness-raising tasks for the mediation of text structure, cohesion, and coherence in essay writing

Several studies have demonstrated the positive impact of Consciousness-Raising tasks (CRTs) on the teaching of grammar, especially in foreign or second language learning. However, few studies have examined their effectiveness for the development of writing skills. With this in mind, the goal of this project is to explore the impact of CRTs on three aspects of writing in expository essays: text structure, cohesion, and coherence. To accomplish this goal, the study followed a mixed-method approach with a component of Classroom Action Research. The study was conducted in an English as Foreign Language class with a group of 12 eleventh-grade students at the International Baccalaureate Program at Palmares Bilingual High school, in Alajuela, Costa Rica. The data consisted of two sets of essays, classroom observations, and questionnaires to the students and the cooperating teacher. After comparing results from the first and second essays, the most noticeable improvement in the students’ writing was in text structure and cohesion, whereas coherence showed the lowest improvement. This points to a limitation of CRTs for addressing aspects of writing involving a larger number of rules and more abstract concepts, such as coherence, instead of a smaller number of rules, like cohesion. In conclusion, the authors suggest enquiring about the use of CRTs with simple topics involving decisions tied to explicit rules versus more complex topics involving abstract thinking and decisions not always linked to rules. Lastly, the authors recommend exploring strategies to make consciousness-raising a collaborative process as a way to mitigate task complexity.
Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning

We propose a monocular vision assisted localization algorithm, that will help a UAV navigate safely in indoor corridor environments. Always, the aim is to navigate the UAV through a corridor in the forward direction by keeping it at the center with no orientation either to the left or right side. The algorithm makes use of the RGB image, captured from the UAV front camera, and passes it through a trained Deep Neural Network (DNN) to predict the position of the UAV as either on the left or center or right side of the corridor. Depending upon the divergence of the UAV with respect to an imaginary central line, known as the central bisector line (CBL) of the corridor, a suitable command is generated to bring the UAV to the center. When the UAV is at the center of the corridor, a new image is passed through another trained DNN to predict the orientation of the UAV with respect to the CBL of the corridor. If the UAV is either left or right tilted, an appropriate command is generated to rectify the orientation. We also propose a new corridor dataset, named UAVCorV1, which contains images as captured by the UAV front camera when the UAV is at all possible locations of a variety of corridors. An exhaustive set of experiments in different corridors reveal the efficacy of the proposed algorithm.
Quantum fields in the background spacetime of a polymeric loop black hole

The description of black holes in loop quantum gravity is a hard and tricky task. In this article, we focus on a minisuperspace approach based on a polymerization procedure. We consider the resulting effective metric and study the propagation of quantum fields in this background. The cross sections for scalar particles and fermions are explicitly calculated. The Teukolsky–Chandrasekhar procedure used to derived the fermionic radial equation of motion for usual spacetimes is entirely generalized to a much larger class. The resulting radial equation can be used in quite a lot of other contexts.
Characteristics of the shoulder in patients following acute stroke: a case series

ABSTRACT Background: Stroke can result in pain and loss of motor control in the hemiplegic shoulder, and while prevention of secondary changes is likely to be the most effective management, there is limited evidence directing clinicians towards the most at-risk patients. Objectives: The aim of this case series was to investigate the presentation of shoulder pain, motor impairment, shoulder passive range of motion (PROM) and alignment of the hemiplegic shoulder following acute stroke. Methods: This study reported data that was collected as part of a pilot randomized controlled trial investigating kinesiology taping of the hemiplegic shoulder. Participants with a diagnosis of acute stroke and severe upper limb motor impairment were included. From 24-h post stroke and continuing every three days until discharge, measurements of shoulder pain (visual analogue scale, Ritchie Articular Index), motor impairment (Chedoke McMaster Stroke Assessment), PROM and alignment (both clinical measures) were collected. Clinical trial registry number – ACTRN12615000502538. Results: Of 156 patients screened over six months, 10 of 15 eligible participants were recruited. On initial assessment, three participants reported pain and all had severe upper limb motor impairment. All participants initially demonstrated close to full shoulder PROM. Six participants had shoulder subluxation and five demonstrated scapula malalignment. Conclusions: Given the severity of upper limb motor impairment, pain and reduced PROM were seen in a small number of participants. The clinical course of shoulder pain and PROM following stroke remains unclear. Large observational studies tracking shoulder characteristics from acute through to rehabilitation settings are needed.
The Vacuum as a Lagrangian subspace

We unify and generalize the notions of vacuum and amplitude in linear quantum field theory in curved spacetime. Crucially, the generalized notion admits a localization in spacetime regions and on hypersurfaces. The underlying concept is that of a Lagrangian subspace of the space of complexified germs of solutions of the equations of motion on hypersurfaces. Traditional vacua and traditional amplitudes correspond to the special cases of definite and real Lagrangian subspaces respectively. Further, we introduce both infinitesimal and asymptotic methods for vacuum selection that involve a localized version of Wick rotation. We provide examples from Klein-Gordon theory in settings involving different types of regions and hypersurfaces to showcase generalized vacua and the application of the proposed vacuum selection methods. A recurrent theme is the occurrence of mixed vacua, where propagating solutions yield definite Lagrangian subspaces and evanescent solutions yield real Lagrangian subspaces. The examples cover Minkowski space, Rindler space, Euclidean space and de Sitter space. A simple formula allows for the calculation of expectation values for observables in the generalized vacua.
Task planning for sports learning by physical education teachers in the pre-service phase

Planning the learning task is one of the principal actions that a teacher should engage in, and it is important to know how teachers in the pre-service phase plan learning and communication tasks and the feedback that they use in the classroom. The aim of the present study was twofold: i) to characterize the learning tasks designed by the pre-service physical education teachers; and ii) to identify the relationships between the variables that define the learning tasks and the phases into which a session is structured in Physical Education Teacher Education (PETE) in the pre-service phase. The sample comprised 695 learning tasks designed by fourteen pre-service phase teachers. The independent variable was the lesson structure and the dependent variables were the learning means, the game situation, the game phase, the space where the students practice, the use of the ball in the task, and the kind of feedback provided in the learning tasks. The high predominance of exercises, unspecific games, and no opponent situations, coupled with the low percentage of reflexive feedback, indicates that the pre-service teachers give prevalence to technical over tactical learning. In addition, pre-service teachers show preferences for some of the task characteristics for each part of the lesson structure. Teachers in PETE pre-service phase tasks tend to follow a more traditional methodology, despite having received information about the different methods of sports teaching in their initial training. The current findings seems to indicate a resistance to changing a traditional model for other models centered on game comprehension.