Miracle-dz/UniFAR-FTUs huggingface dataset:
Juvenile-to-adult transition invariances in fishes: perspectives on proximate and ultimate causation.

To bridge physiological and evolutionary perspectives on size at maturity in fishes, we focus on the approximately invariant ratio between the estimated oxygen supply at size at maturity (Qm ) relative to that at asymptotic size (Q∞ ) among species within a taxonomic group, and show how two important theories related to this phenomenon complement each other. Gill oxygen limitation theory proposes a mechanistic basis for a universal oxygen-supply based threshold for maturation, which applies among and within species. On the other hand, we show that a generalisation of life-history theory for the invariance of size at maturity (Lm ) relative to asymptotic size (L∞ ) can provide an evolutionary rationale for an oxygen-limited maturation threshold (Qm /Q∞ ). Extending previous inter- and intraspecific analyses, we show that maturation invariances also occur in lake whitefish Coregonus clupeaformis (Mitchill 1818), but at both scales, theory seems to underestimate the value of the maturation threshold. We highlight some key uncertainties in the model that should be addressed to help resolve the mismatch. This article is protected by copyright. All rights reserved.
Supervised Study: Required Independent Research at a Community College Supports Persistence in Science

This study assesses the impacts of the Science program at Piedmont Virginia Community College and its flagship capstone research experience, Supervised Study, through psychosocial perceptions associated with persistence in science and through a comparative analysis of subsequent science bachelor’s degree attainment. Supervised Study involves authentic, independent projects, a research methods course and learning community, and one-on-one faculty mentoring. The Persistence in the Sciences survey was used as a repeated-measures instrument in four semesters of Supervised Study. Positive trends were observed for self-efficacy, science identity, community values, and networking, while responses related to project ownership were mixed (n = 13). To contextualize these observations, transfer and bachelor’s degree completion rates were analyzed. Students who earn an associate’s degree in Science (n = 113 between 2012 and 2019) complete bachelor’s degrees at high rates (66.4%). Moreover, they are two to four times more likely to major in physical and natural sciences than their science-oriented peers, who take many of the same courses, with the exception of Supervised Study. Notably, these comparison rates remain consistent between different demographic groups. These findings further describe a model for research at the community college level that supports persistence in undergraduate science for a broad group of students.
Role of cash transfers in mitigating food insecurity in India during the COVID-19 pandemic: a longitudinal study in the Bihar state

Objective There are scant empirical data on the impacts of the COVID-19 pandemic on food security across the globe. India is no exception, with insights into the impacts of lockdown on food insecurity now emerging. We contribute to the empirical evidence on the prevalence of food insecurity in Bihar state before and after lockdown, and whether the government’s policy of cash transfer moderated negative effects of food insecurity or not. Design This was a longitudinal study. Settings The study was conducted in Gaya and Nalanda district of Bihar state in India from December 2019 to September 2020. Participants A total of 1797 households were surveyed in survey 1, and about 52% (n=939) were followed up in survey 2. Valid data for 859 households were considered for the analysis. Main outcome measures Using the Food Insecurity Experience Scale, we found that household conditions were compared before and after lockdown. The effect of cash transfers was examined in a quasi-experimental method using a longitudinal study design. Logistic regression and propensity score adjusted analyses were used to identify factors associated with food insecurity. Results Household food insecurity worsened considerably during lockdown, rising from 20% (95% CI 17.4 to 22.8) to 47% (95% CI 43.8 to 50.4) at the sample mean. Households experiencing negative income shocks were more likely to have been food insecure before the lockdown (adjusted OR 6.4, 95% CI 4.9 to 8.3). However, households that received cash transfers had lower odds of being food insecure once the lockdown was lifted (adjusted OR 0.75, 95% CI 0.56 to 0.99). Conclusion These findings provide evidence on how the swift economic response to the pandemic crises using targeted income transfers was relatively successful in mitigating potentially deep impacts of food insecurity.
Learning in deep neural networks and brains with similarity-weighted interleaved learning

Significance Unlike humans, artificial neural networks rapidly forget previously learned information when learning something new and must be retrained by interleaving the new and old items; however, interleaving all old items is time-consuming and might be unnecessary. It might be sufficient to interleave only old items having substantial similarity to new ones. We show that training with similarity-weighted interleaving of old items with new ones allows deep networks to learn new items rapidly without forgetting, while using substantially less data. We hypothesize how similarity-weighted interleaving might be implemented in the brain using persistent excitability traces on recently active neurons and attractor dynamics. These findings may advance both neuroscience and machine learning.
Evaluating the use of hair as a non-invasive indicator of trace mineral status in woodland caribou (Rangifer tarandus caribou)

Trace mineral imbalances can have significant effects on animal health, reproductive success, and survival. Monitoring their status in wildlife populations is, therefore, important for management and conservation. Typically, livers and kidneys are sampled to measure mineral status, but biopsies and lethal-sampling are not always possible, particularly for Species at Risk. We aimed to: 1) determine baseline mineral levels in Northern Mountain caribou (Rangifer tarandus caribou; Gmelin, 1788) in northwestern British Columbia, Canada, and 2) determine if hair can be used as an effective indicator of caribou mineral status by evaluating associations between hair and organ mineral concentrations. Hair, liver, and kidney samples from adult male caribou (nHair = 31; nLiver, nKidney = 43) were collected by guide-outfitters in 2016–2018 hunting seasons. Trace minerals and heavy metals were quantified using inductively-coupled plasma mass spectrometry, and organ and hair concentrations of same individuals were compared. Some organ mineral concentrations differed from other caribou populations, though no clinical deficiency or toxicity symptoms were reported in our population. Significant correlations were found between liver and hair selenium (rho = 0.66, p<0.05), kidney and hair cobalt (rho = 0.51, p<0.05), and liver and hair molybdenum (rho = 0.37, p<0.10). These findings suggest that hair trace mineral assessment may be used as a non-invasive and easily-accessible way to monitor caribou selenium, cobalt, and molybdenum status, and may be a valuable tool to help assess overall caribou health.
The impact of chronic pain on creative ideation: An examination of the underlying attention‐related psychophysiological mechanisms

Attentional deficits in patients with chronic pain are common and well studied. Yet, few studies have examined the effects of chronic pain on more complex cognitive abilities that rely on well‐functioning attentional systems. With the current study, we aimed to investigate whether the impact of chronic pain on attention affects creative ideation as measured with an adaptation of the alternate uses task (AUT).
EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning

In this study, we present a new Deep Learning (DL) architecture for Motor Imagery (MI) based Brain Computer Interfaces (BCIs) called EEGSym. Our implementation aims to improve previous state-of-the-art performances on MI classification by overcoming inter-subject variability and reducing BCI inefficiency, which has been estimated to affect 10-50% of the population. This convolutional neural network includes the use of inception modules, residual connections and a design that introduces the symmetry of the brain through the mid-sagittal plane into the network architecture. It is complemented with a data augmentation technique that improves the generalization of the model and with the use of transfer learning across different datasets. We compare EEGSym’s performance on inter-subject MI classification with ShallowConvNet, DeepConvNet, EEGNet and EEG-Inception. This comparison is performed on 5 publicly available datasets that include left or right hand motor imagery of 280 subjects. This population is the largest that has been evaluated in similar studies to date. EEGSym significantly outperforms the baseline models reaching accuracies of 88.6±9.0 on Physionet, 83.3±9.3 on OpenBMI, 85.1±9.5 on Kaya2018, 87.4±8.0 on Meng2019 and 90.2±6.5 on Stieger2021. At the same time, it allows 95.7% of the tested population (268 out of 280 users) to reach BCI control (≥70% accuracy). Furthermore, these results are achieved using only 16 electrodes of the more than 60 available on some datasets. Our implementation of EEGSym, which includes new advances for EEG processing with DL, outperforms previous state-of-the-art approaches on inter-subject MI classification.
The effect of hopelessness on the perceived partner behaviors during Covid‐19 pandemic process

Abstract Purpose It is aimed to evaluate the effect of hopelessness on the perceived partner behaviors during Covid‐19 pandemic process in Turkey. Design Descriptive. Methods Totally, 486 participants have been included in the study. Findings It has been found that there is a positive correlation between codependence, disconnection, controlling subdimension and hopelessness in both women and men (p < 0.05). Practice Implications In the study, the women and men who evaluate their partners as dependent, disconnected and controlling are hopeless.
Fast Run-Length Compression of Point Cloud Geometry

The increase in popularity of point-cloud-oriented applications has triggered the development of specialized compression algorithms. In this paper, a novel algorithm is developed for the lossless geometry compression of voxelized point clouds following an intra-frame design. The encoded voxels are arranged into runs and are encoded through a single-pass application directly on the voxel domain. This is done without representing the point cloud via an octree nor rendering the voxel space through an occupancy matrix, therefore decreasing the memory requirements of the method. Each run is compressed using a context-adaptive arithmetic encoder yielding state-of-the-art compression results, with gains of up to 15% over TMC13, MPEG’s standard for point cloud geometry compression. Several proposed contributions accelerate the calculations of each run’s probability limits prior to arithmetic encoding. As a result, the encoder attains a low computational complexity described by a linear relation to the number of occupied voxels leading to an average speedup of 1.8 over TMC13 in encoding speeds. Various experiments are conducted assessing the proposed algorithm’s state-of-the-art performance in terms of compression ratio and encoding speeds.
Clostridium butyricum and Its Derived Extracellular Vesicles Modulate Gut Homeostasis and Ameliorate Acute Experimental Colitis

This study indicated that C. butyricum provided a prevention effect against colitis mice, which involved protection of the intestinal barrier and positively regulating gut microbiota. Furthermore, we confirmed that the gut microbiota and metabolites that were induced by C. butyricum also contributed to the attenuation of DSS-induced colitis. Importantly, C. butyricum-derived EVs showed an effective impact in alleviating colitis. ABSTRACT Microbiological treatments are expected to have a role in the future management of inflammatory bowel disease (IBD). Clostridium butyricum (C. butyricum) is a probiotic microorganism that exhibits beneficial effects on various disease conditions. Although many studies have revealed that C. butyricum provides protective effects in mice with colitis, the way C. butyricum establishes beneficial results in the host remains unclear. In this study, we investigated the mechanisms by which C. butyricum modifies the gut microbiota, produces bacterial metabolites that may be involved, and, specifically, how microbial extracellular vesicles (EVs) positively influence IBD, using a dextran sulfate sodium (DSS)-induced colitis murine model in mice. First, we showed that C. butyricum provides a protective effect against colitis, as evidenced by the prevention of body weight loss, a reduction in the disease activity index (DAI) score, a shortened colon length, decreased histology score, and an improved gut barrier function, accompanied by reduced levels of pathogenic bacteria, including Escherichia/Shigella, and an increased relative abundance of butyrate-producing Clostridium sensu stricto-1 and Butyricicoccus. Second, we also confirmed that the gut microbiota and metabolites produced by C. butyricum played key roles in the attenuation of DSS-induced experimental colitis, as supported by the profound alleviation of colitis effects following fecal transplantation or fecal filtrate insertion supplied from C. butyricum-treated mice. Finally, C. butyricum-derived EVs protected the gut barrier function, improved gut microbiota homeostasis in ulcerative colitis, and contributed to overall colitis alleviation. IMPORTANCE This study indicated that C. butyricum provided a prevention effect against colitis mice, which involved protection of the intestinal barrier and positively regulating gut microbiota. Furthermore, we confirmed that the gut microbiota and metabolites that were induced by C. butyricum also contributed to the attenuation of DSS-induced colitis. Importantly, C. butyricum-derived EVs showed an effective impact in alleviating colitis.
Lipid profiles and lifestyle habits of stroke survivors in the east coast region of peninsular Malaysia: Preliminary findings

Background: Stroke survivors are at high risk for recurrent cardiovascular events if no prevention strategies are undertaken. Aim: This study aimed to investigate the fasting serum lipid profiles and lifestyle habits in stroke survivors, and the factors associated with suboptimal lipid profiles. Methods: A cross-sectional retrospective study was conducted in three public hospitals in Malaysia. Stroke survivors' data regarding the socio-demographic characteristics, clinical profiles, fasting serum lipid profiles, dietary adherence, and physical activity levels were acquired. Binary logistic regression was used to examine the factors associated with suboptimal lipid goals. Results: A total of 104 stroke survivors were recruited from patients attending the neurology and rehabilitation departments. Only 22% of the stroke survivors attained the targeted low-density lipoprotein cholesterol level (LDL-C < 1.8 mmol/L). Meanwhile, more than two thirds of patients achieved the targeted total cholesterol, triglyceride, and high-density lipoprotein cholesterol goals. Patients with a longer stroke duration (Adjusted odds ratio, AOR 3.33, 95% confidence intervals, CI: 1.09, 10.13, p = 0.034), elevated blood pressure (AOR 4.74, 95% CI: 1.65, 13.62, p = 0.004), chronic kidney disease (AOR 3.30, 95% CI: 1.05, 10.34, p = 0.041), abdominal obesity (AOR 3.14, 95% CI: 1.20, 8.21, p = 0.020), excessive energy intake (AOR 2.72, 95% CI: 1.07, 6.91, p = 0.036), and excessive saturated fatty acids intake (AOR 2.85, 95% CI: 1.02, 7.93, p = 0.045) were significantly associated with suboptimal lipid profiles. Conclusion: The lipid goals attainment was low, particularly the LDL-C levels among Malaysian stroke survivors. Greater efforts are warranted to fully utilise the lipid-lowering therapy and the lifestyle changes in these high-risk patients.
Let’s Talk about Sleep Baby: Sexual Activity Postpartum and Its Links with Room Sharing, Parent Sleep, and Objectively Measured Infant Sleep and Parent Nighttime Crib Visits

ABSTRACT The postpartum period may pose a considerable challenge for both parent sleep and sexual activity. This study assessed the links between partnered sexual frequency and satisfaction postpartum and parent sleep, infant sleep, parent nighttime caregiving, and parent-infant room sharing. Participants were 897 parents of infants aged 1–18-months (M = 8.8 ± 4.3, 49% girls). Parents completed an online survey about their sexual frequency and satisfaction, sleep, relationship satisfaction, depression, and demographic characteristics. Infant sleep and parent nighttime crib visits were measured objectively using auto-videosomnography during 2-weeks, with 8,460 nights assessed. Results indicated that the frequency of partnered sexual activity was 3.8 ± 4.2 times per month. Frequency of sexual activity increased with infant age, yet increases beyond the first 6 months postpartum were non-significant. Adjusted GEE modeling revealed that more parent nighttime crib visits were significantly associated with lower sexual frequency, regardless of infant age. Other parent and infant sleep-related factors were not significantly linked with sexual frequency in adjusted models. Moreover, sexual satisfaction was not associated with parent nighttime caregiving, parent or infant sleep, or parent-infant sleeping arrangements in adjusted models, suggesting that it may not be susceptible to the effects of disrupted sleep in the postpartum period. These findings suggest that it is not infant or parent sleep disruption per se, but rather parent nighttime engagement with the infant that is associated with parent sexual activity frequency. Longitudinal investigations are warranted to examine the directional pathways of these links.
Anticipated Sexual Minority Stress and Mental Health after the 2016 Presidential Election: Examining a Psychological Mediation Framework

ABSTRACT Sexual minorities are at an increased risk for psychopathology, compared to heterosexual counterparts, in part due to stressors unique to their sexual minority identity. The greater socio-political climate may exacerbate sexual minority stress, and the context of the 2016 United States presidential election infringed upon the rights and well-being of LGBQ individuals. In our sample of sexual minorities (n = 253), we examined the association between anticipated stigma in response to the 2016 presidential election and symptoms of anxiety and depression, and the potential mediating role of self-compassion, hopelessness and social support. Greater anticipated stigma was associated with less self-compassion, less perceived social support, and greater hopelessness, and, in turn, greater symptoms of anxiety and depression. Anticipated stigma may erode feelings of environmental support and may be internalized as negative views of the self and future. From a public health perspective, policy-makers should be aware that the discussion and/or enactment of policies which discriminate against LGBQ persons may negatively impact mental health. Clinically, bolstering self-compassion and interpersonal functioning, and targeting hopelessness, through strategies such as Acceptance and Commitment Therapy and Compassion-Focused Therapy, may buffer the impact of minority stress among sexual minorities.
Digital Master: Debunk the Myths of Enterprise Digital Maturity

The purpose of Digital Master is to envision the multidimensional impact that digital philosophy, technology, and methodology will have on the future of business and human society. In today's overly complex, hyperconnected, and interdependent business dynamic, Digital Masters - the highly mature organizations - not only apply the most advanced digital technology into their business management disciplines but, more importantly, they orchestrate the harmonized digital symphony across all key business arenas, from shaping the digital mindset to building the high performing organization:
Transforming growth factor β1 impairs the transcriptomic response to contraction in myotubes from women with polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is characterised by a hormonal imbalance affecting the reproductive and metabolic health of reproductive‐aged women. Exercise is recommended as a first‐line therapy for women with PCOS to improve their overall health; however, women with PCOS are resistant to the metabolic benefits of exercise training. Here, we aimed to gain insight into the mechanisms responsible for such resistance to exercise in PCOS. We employed an in vitro approach with electrical pulse stimulation (EPS) of cultured skeletal muscle cells to explore whether myotubes from women with PCOS have an altered gene expression signature in response to contraction. Following EPS, 4719 genes were differentially expressed (false discovery rate <0.05) in myotubes from women with PCOS compared to 173 in healthy women. Both groups included genes involved in skeletal muscle contraction. We also determined the effect of two transforming growth factor β (TGFβ) ligands that are elevated in plasma of women with PCOS, TGFβ1 and anti‐Müllerian hormone (AMH), alone and on the EPS‐induced response. While AMH (30 ng/ml) had no effect, TGFβ1 (5 ng/ml) induced the expression of extracellular matrix genes and impaired the exercise‐like transcriptional signature in myotubes from women with and without PCOS in response to EPS by interfering with key processes related to muscle contraction, calcium transport and actin filament. Our findings suggest that while the fundamental gene expression responses of skeletal muscle to contraction is intact in PCOS, circulating factors like TGFβ1 may be responsible for the impaired adaptation to exercise in women with PCOS.
Comparison of fluoxetine with other selective serotonin reuptake inhibitors in the treatment of premature ejaculation: A systematic review and meta‐analysis

The primary goal of this systematic review and meta‐analysis was to compare the efficacy and safety of fluoxetine with other oral pharmaceuticals in the treatment of premature ejaculation (PE). We searched through databases including CNKI, PubMed, EMBASE and Cochrane to find research published up to 31 March 2022. PROSPERO was used to pre‐register this meta‐analysis (registration number CRD42022315459). Two separate writers extracted relevant details from all of the papers included in the study. To analyse the quality of literature publishing, we used the Cochrane risk of bias tool. The severity of premature ejaculation was determined using intravaginal ejaculatory latency time (IELT), and the effectiveness and safety of pharmacological interventions were determined using standardized mean difference (SMD) and risk ratio (RR) values with matching 95% confidence level intervals (95% CIs). Our meta‐analysis includes a total of ten trials to investigate into the differences in treatment efficacy and safety between fluoxetine and other medicines. The findings revealed that fluoxetine was more effective than placebo in treating PE, whereas sertraline and paroxetine were more effective than fluoxetine (p < 0.05). The side effects of the medications were not significantly different, and they were all acceptable. The results of the sensitivity analysis were unaffected by the removal of any of the articles. There was no evidence of bias in the media. This meta‐analysis examined the differences in efficacy and safety between fluoxetine and other oral medications and can be used by clinicians in the treatment of PE.