Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of paternal and chronological age on BEGAIN methylation and its possible role in autism

Children from old fathers carry an increased risk for autism spectrum (ASD) and other neurodevelopmental disorders, which may at least partially be mediated by paternal age effects on the sperm epigenome. The brain enriched guanylate kinase associated (BEGAIN) protein is involved in protein-protein interactions at and transmission across synapses. Since several epigenome-wide methylation screens reported a paternal age effect on sperm BEGAIN methylation, here we confirmed a significant negative correlation between BEGAIN promoter methylation and paternal age, using more sensitive bisulfite pyrosequencing and a larger number of sperm samples. Paternal age-associated BEGAIN hypomethylation was also observed in fetal cord blood (FCB) of male but not of female offspring. There was no comparable maternal age effect on FCB methylation. In addition, we found a significant negative correlation between BEGAIN methylation and chronological age (ranging from 1 to 70 years) in peripheral blood samples of male but not of female donors. BEGAIN hypomethylation was more pronounced in male children, adolescents and adults suffering from ASD compared to controls. Both genetic variation (CC genotype of SNP rs7141087) and epigenetic factors may contribute to BEGAIN promoter hypomethylation. The age- and sex-specific BEGAIN methylation trajectories in the male germ line and somatic tissues, in particular the brain, support a role of this gene in ASD development.
CRISPR-Cas9-mediated IncF plasmid curing in extraintestinal pathogenic Escherichia coli

ABSTRACT IncF plasmids are commonly found in extra-intestinal pathogenic Escherichia coli (ExPEC) strains, serving as reservoirs for antimicrobial resistance (AMR) genes and virulence factors, persistently coexisting with ExPEC lineages. Multidrug-resistant (MDR) high-risk ExPEC clones, particularly ST131, ST1193, and ST410, have acquired diverse IncF plasmids over time, containing various AMR determinants, contributing significantly to their global success. However, the broader roles of these IncF plasmids in the success of MDR ExPEC clones, beyond AMR, remain elusive. In this study, we employed a novel clustered regularly interspaced short palindromic repeats–CRISPR-associated protein-9 nuclease (CRISPR-Cas9)-mediated pCasCure plasmid-curing system to precisely remove specific IncF plasmids among ExPEC clones (ST1193, ST131, and ST410). Antibiotic-resistant parent strains reverted to antibiotic-susceptible states post-curing; however, IncF plasmid curing did not show significant impact on bacterial in vitro growth and had little impact on other in vitro phenotypes, including survival in water, dry environment and biofilm production. In addition, IncF plasmid curing did not affect the conjugation frequency of KPC-producing pKpQIL plasmid. This study represents a pivotal initial step in understanding the precise roles of IncF plasmids in the success of ExPEC. Future research will be crucial in investigating their influence on cell invasion and in vivo fitness, thereby providing a more comprehensive perspective on the functions of IncF plasmids in MDR ExPEC clones. IMPORTANCE Understanding the role of IncF plasmids in the success of drug-resistant bacteria has far-reaching implications for tackling antibiotic resistance. The study's use of a novel CRISPR-Cas9-mediated plasmid-curing system provides a precision tool for dissecting the specific impact of IncF plasmids on ExPEC clones, especially high-risk, multidrug-resistant strains like ST131, ST1193, and ST410. The study offers a crucial stepping stone for future research into understanding how these plasmids influence more complex aspects of bacterial behavior, such as cell invasion and in vivo fitness. Understanding the role of IncF plasmids in the success of drug-resistant bacteria has far-reaching implications for tackling antibiotic resistance. The study's use of a novel CRISPR-Cas9-mediated plasmid-curing system provides a precision tool for dissecting the specific impact of IncF plasmids on ExPEC clones, especially high-risk, multidrug-resistant strains like ST131, ST1193, and ST410. The study offers a crucial stepping stone for future research into understanding how these plasmids influence more complex aspects of bacterial behavior, such as cell invasion and in vivo fitness.
Adipose tissue browning and thermogenesis under physiologically energetic challenges: a remodelled thermogenic system

Metabolic diseases such as obesity and diabetes are often thought to be caused by reduced energy expenditure, which poses a serious threat to human health. Cold exposure, exercise and caloric restriction have been shown to promote adipose tissue browning and thermogenesis. These physiological interventions increase energy expenditure and thus have emerged as promising strategies for mitigating metabolic disorders. However, that increased adipose tissue browning and thermogenesis elevate thermogenic consumption is not a reasonable explanation when humans and animals confront energetic challenges imposed by these interventions. In this review, we collected numerous results on adipose tissue browning and whitening and evaluated this bi‐directional conversion of adipocytes from the perspective of energy homeostasis. Here, we propose a new interpretation of the role of adipose tissue browning under energetic challenges: increased adipose tissue browning and thermogenesis under energy challenge is not to enhance energy expenditure, but to reestablish a more economical thermogenic pattern to maintain the core body temperature. This can be achieved by enhancing the contribution of non‐shivering thermogenesis (adipose tissue browning and thermogenesis) and lowering shivering thermogenesis and high intensity shivering. Consequently, the proportion of heat production in fat increases and that in skeletal muscle decreases, enabling skeletal muscle to devote more energy reserves to overcoming environmental stress.
Introducing the Power In Nepali Girls (PING) empowerment scale

ABSTRACT The multi-dimensional concept of empowerment is context specific, uniquely defined in various cultures, and challenging to measure. The aim of this study was to develop a scale for measuring empowerment among adolescent girls in Nepal. Twenty-nine items related to empowerment were drawn from formative, participatory research conducted in southern Nepal to comprise a draft empowerment scale. A case/control survey among 300 adolescent Nepali girls was then conducted to refine the scale. Factor analysis determined the most parsimonious scale and identified the underlying structure of items, resulting in the The Power In Nepali Girls (PING), a two-factor, 16-item empowerment scale. Factor 1 items address decision-making power and treatment in family and society. Factor 2 items address knowledge, education, and skills development. We used the 16-item scale to assess the impact of a social and financial skills program on empowerment among adolescent girls residing in southern Nepal. The PING scale is a culturally- and population-specific measure that can be used to quantify the impact of empowerment programs in Nepal among adolescent girls. The methods used also serve as a template for future work aiming to design context-specific measures of empowerment using community-engaged approaches.
Safety, walking ability, and satisfaction outcomes of the NEURO TRONIC stance-control knee-ankle-foot orthosis (SCKAFO): A comparative evaluation to the E-MAG active SCKAFO

Background: Stance control knee-ankle-foot orthoses (SCKAFOs) ensure knee stability by locking during stance while allowing knee flexion during swing. Differences in function of the knee joints and building principles between devices may affect their effectiveness. Objective: To investigate the preliminary effectiveness of a NEURO TRONIC on safety outcomes, net energy cost (EC), and user experiences in individuals already using an E-MAG Active SCKAFO. Study design: Prospective uncontrolled intervention study. Methods: A convenience sample of 10 subjects with flaccid lower extremity muscle weakness, including the quadriceps, due to neuromuscular disorders already using an E-MAG Active SCKAFO were provided with a newly fabricated NEURO TRONIC SCKAFO. Outcomes included knee joint locking failures and unlocking failures (ULFs) (i.e., percentage of steps the knee joint failed to lock/unlock) when walking under challenging conditions on an instrumented treadmill while wearing a safety harness; net EC (J/kg per meter) assessed with a 6-min walk test at comfortable speed; 3D gait kinematics and kinetics; and patient-reported outcomes. Results: No differences between devices were found for knee joint locking failures (both devices 0%) and ULFs (9.9% for the NEURO TRONIC vs. 13.9% for the E-MAG Active SCKAFO). The mean (standard deviation) net EC with the NEURO TRONIC SCKAFO was 8.2% (from 3.68 [0.81] to 3.38 [0.75] J/kg per meter, p = 0.123) lower, although not significantly, compared with that with the E-MAG Active SCKAFO. Significant improvements with the NEURO TRONIC SCKAFO were found for ankle power (p = 0.003), perceived walking effort (p = 0.014), and reported falls (p = 0.034). Conclusion: Both the NEURO TRONIC SCKAFO and the E-MAG Active SCKAFO were safe in terms of knee joint locking, while ULFs were frequent with both devices. The net EC with the NEURO TRONIC SCKAFO decreased, although not significantly, by 8.2%, likely due to insufficient power. Perceived walking effort was in favor of the NEURO TRONIC SCKAFO.
Effectiveness of ChatGPT in Identifying and Accurately Guiding Patients in Rhinoplasty Complications

Abstract Postoperative complications in rhinoplasty require prompt intervention for optimal outcomes. ChatGPT, an artificial intelligence (AI) tool, offers potential for assisting in postoperative care. This study aims to assess ChatGPT's effectiveness in providing guidance for various rhinoplasty complications. Different complication scenarios were input into ChatGPT. Responses were categorized into “Contact Surgeon” or “Follow Postoperative Instructions. ” ChatGPT consistently advised immediate surgeon contact for infection. For other complications, it recommended monitoring and adhering to instructions while suggesting surgeon contact if concerns persisted. ChatGPT shows promise in aiding patients' postoperative care by accurately identifying cases necessitating communication with surgeons or emergency care. This research underscores AI's potential in enhancing patient-centered care and contributes to the evolving landscape of health care practices.
El esfuerzo del viento, su rotacional y el transporte de Sverdrup en el Atlántico sur

Wind stress curl and Sverdrup transport in the South Atlantic Monthly mean values of Hellerman and Rosenstein (HR) wind stress and eight oceanographic transects of the South Atlantic Ocean obtained at different latitudes were used to test the Sverdrup relationship. Seasonal mean wind-stress charts for each season are presented. The zonal migration and splitting of the South Atlantic atmospheric high-pressure centre can be observed, as well as other seasonal changes of the wind field. Charts of the mean wind stress curl show a line of zero curl sloping northeastward across the South Atlantic basin, with negative values north of this line and positive values south of it. The annual mean chart of the Sverdrup mass transport show the same feature, with northward transport below this line and southward transport above it. Zonal values of Sverdrup (S), Geostrophic (G), and Ekman (E) transports, as well as the total transport (R = G + E), were calculated. There is no established relationship between the Sverdrup and total transport with latitude. Within the calculated interval of error (± 1.2 Sv for G and ± 2.3 Sv for S), a good qualitative agreement between R and S was attained at 9o, 11o, 16o and 24o S. The Brazil Current geostrophic transports, at different latitudes, are close to the Sverdrup transport values at the western boundary. However, the poleward increase of the Brazil Current transport with latitude is not presented by the Sverdrup transport.
The association between levosimendan and mortality in patients with sepsis or septic shock: a systematic review and meta-analysis

Background Levosimendan is increasingly being used in patients with sepsis or septic shock because of its potential to improve organ function and reduce mortality. We aimed to determine if levosimendan can reduce mortality in patients with sepsis or septic shock via meta-analysis. Evidence sources and study selection We comprehensively searched the PubMed, Embase, Web of Science, and Cochrane Library databases from inception through 1 October 2022. Literature evaluating the efficacy of levosimendan in patients with sepsis or septic shock was included. Data extraction and outcome measurements Two reviewers extracted data and assessed study quality. A meta-analysis was performed to calculate an odds ratio (OR), 95% confidence intervals (CI), and P-values for 28-day mortality (primary outcome). Secondary outcomes included changes in indexes reflecting cardiac function before and after treatment, changes in serum lactate levels in the first 24 h of treatment, and the mean SOFA score during the study period. Safety outcomes included rates of tachyarrhythmias and total adverse reactions encountered with levosimendan. Results Eleven randomized controlled trials were identified, encompassing a total of 1044 patients. After using levosimendan, there was no statistical difference between groups for 28-day mortality (34.9% and 36.2%; OR: 0.93; 95% CI [0.72–1.2]; P = 0.57; I2 = 0%; trial sequential analysis-adjusted CI [0.6–1.42]) and sequential organ failure assessment (SOFA) score, and more adverse reactions seemed to occur in the levosimendan group, although the septic shock patient’s heart function and serum lactate level improved. Conclusion There was no association between the use of levosimendan and 28-day mortality and SOFA scores in patients with septic shock, though there was statistically significant improvement in cardiac function and serum lactate.
Investigating the effect of hippocampal sclerosis on parietal memory network

Abstract Objective We aimed to investigate differences in episodic memory networks between patients with temporal lobe epilepsy (TLE) due to hippocampal sclerosis and healthy controls, especially with regards to the parietal memory network (PMN), as well as their relation to neuropsychological memory performance after mesial temporal resection. Methods 28 healthy subjects as well as 21 patients with TLE (12 left, 9 right) were investigated using a spatial memory fMRI paradigm, which has been shown to activate the PMN. Regions of interest (ROI) were defined based on the results of the second‐level analyses and activations within the predefined ROIs were compared across groups and correlated with postoperative verbal and nonverbal memory scores. Results Healthy subjects showed activations within regions belonging to the dorsal visual stream and the PMN as well as the bilateral parahippocampal place area, the bilateral frontal eye field, and the bilateral middle frontal gyrus. Comparison between groups revealed that TLE patients activated significantly less in the left middle occipital gyrus and the right precuneus. The activation pattern in left TLE patients showed further reductions, mainly in areas belonging to the dorsal visual stream and the PMN within the left hemisphere. Activations within the left superior parietal lobulus, bilateral inferior parietal lobulus, bilateral middle temporal gyrus, left precuneus, left frontal eye field, and left middle frontal gyrus correlated significantly with postoperative verbal memory scores, and activations within the left superior parietal lobulus, left inferior parietal lobulus, left middle temporal gyrus, and left precuneus correlated significantly with higher performance in postoperative nonverbal memory scores. Significance The PMN is involved in episodic memory encoding. Higher activations in areas belonging to the PMN and the dorsal visual stream, especially within the left hemisphere, before amygdalohippocampectomy may result in higher postoperative memory scores. Plain language summary This study aims to investigate the effects of epilepsy due to hippocampal sclerosis, i.e. scarring in the temporal lobe, on memory networks in the brain. We discovered that especially patients with left‐sided hippocampal sclerosis show reduced brain activations in visual areas and memory networks within the left hemisphere of the brain during orientation in space. Importantly, higher activations within these areas may result in better memory after epilepsy surgery.
Sub-communities of the vaginal microbiota in pregnant and non-pregnant women

Diverse and non-Lactobacillus-dominated vaginal microbial communities are associated with adverse health outcomes such as preterm birth and the acquisition of sexually transmitted infections. Despite the importance of recognizing and understanding the key risk-associated features of these communities, their heterogeneous structure and properties remain ill-defined. Clustering approaches are commonly used to characterize vaginal communities, but they lack sensitivity and robustness in resolving substructures and revealing transitions between potential sub-communities. Here, we address this need with an approach based on mixed membership topic models. Using longitudinal data from cohorts of pregnant and non-pregnant study participants, we show that topic models more accurately describe sample composition, longitudinal changes, and better predict the loss of Lactobacillus dominance. We identify several non-Lactobacillus-dominated sub-communities common to both cohorts and independent of reproductive status. In non-pregnant individuals, we find that the menstrual cycle modulates transitions between and within sub-communities, as well as the concentrations of half of the cytokines and 18% of metabolites. Overall, our analyses based on mixed membership models reveal substructures of vaginal ecosystems which may have important clinical and biological associations.
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation

In this paper, we propose a simple yet effective approach for self-supervised video object segmentation (VOS). Our key insight is that the inherent structural dependencies present in DINO-pretrained Transformers can be leveraged to establish robust spatio-temporal correspondences in videos. Furthermore, simple clustering on this correspondence cue is sufficient to yield competitive segmentation results. Previous self-supervised VOS techniques majorly resort to auxiliary modalities or utilize iterative slot attention to assist in object discovery, which restricts their general applicability and imposes higher computational requirements. To deal with these challenges, we develop a simplified architecture that capitalizes on the emerging objectness from DINO-pretrained Transformers, bypassing the need for additional modalities or slot attention. Specifically, we first introduce a single spatio-temporal Transformer block to process the frame-wise DINO features and establish spatio-temporal dependencies in the form of self-attention. Subsequently, utilizing these attention maps, we implement hierarchical clustering to generate object segmentation masks. To train the spatio-temporal block in a fully self-supervised manner, we employ semantic and dynamic motion consistency coupled with entropy normalization. Our method demonstrates state-of-the-art performance across multiple unsupervised VOS benchmarks and particularly excels in complex real-world multi-object video segmentation tasks such as DAVIS-17-Unsupervised and YouTube-VIS-19. The code and model checkpoints will be released at https://github.com/shvdiwnkozbw/SSL-UVOS.
Cinematic Behavior Transfer via NeRF-based Differentiable Filming

In the evolving landscape of digital media and video production, the precise manipulation and reproduction of visual elements like camera movements and character actions are highly desired. Existing SLAM methods face limitations in dynamic scenes and human pose estimation often focuses on 2D projections, neglecting 3D statuses. To address these issues, we first introduce a reverse filming behavior estimation technique. It optimizes camera trajectories by leveraging NeRF as a differentiable renderer and refining SMPL tracks. We then introduce a cinematic transfer pipeline that is able to transfer various shot types to a new 2D video or a 3D virtual environment. The incorporation of 3D engine workflow enables superior rendering and control abilities, which also achieves a higher rating in the user study.
Unified genus-1 potential and parametric P/NP relation

We study a parametric deformation of the unified genus-1 anharmonic potential and derive a parametric form of perturbative/non-perturbative (P/NP) relation, applicable across all parameter values. We explicitly demonstrate that the perturbative expansion around the perturbative saddle is sufficient to generate all the nonperturbative information in these systems. Our results confirm the known results in the literature, where the cubic and quartic anharmonic potentials are reproduced under extreme parameter values, and go beyond these known results by developing the nonperturbative function of real and complex instantons solely from perturbative data.
Higher order interactions lead to"reluctant"synchrony breaking

To model dynamical systems on networks with higher order (non-pairwise) interactions, we recently introduced a new class of ODEs on hypernetworks. Here we consider one-parameter synchrony breaking bifurcations in such ODEs. We call a synchrony breaking steady state branch"reluctant"if it is tangent to a synchrony space, but does not lie inside it. We prove that reluctant synchrony breaking is ubiquitous in hypernetwork systems, by constructing a large class of examples that support it. We also give an explicit formula for the order of tangency to the synchrony space of a reluctant steady state branch.
Transmission grid stability with large scale power flows due to renewables

We propose a general methodology for identifying critical lines in the long-distance transmission of power across large electrical networks. When the system is pushed to its limits of operation due to large power imbalances or contingencies, the network may lose synchrony. We analyze the Continental Europe grid as a case study and find that instabilities emerge due to topological constraints by which the system loses its stable fixed point (synchronized state), causing the grid to split into two asynchronous zones. We discuss also how the modes of the system provide information on which areas are more susceptible to lose synchrony.