Miracle-dz/UniFAR-FTUs huggingface dataset:
Anti-Mullerian hormone and associated pregnancy outcomes in females with polycystic ovary syndrome undergoing In vitro fertilization-embryo transfer

<p><strong>Background and Objective</strong><strong>: </strong>Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among reproductive-aged women worldwide. Pregnancy in these women is highly affected by serum levels of Anti-Mullerian hormone (AMH). This study aimed to determine the association of serum AMH levels with pregnancy outcomes in females with polycystic ovary syndrome (PCOS) undergoing in vitro fertilization-embryo transfer (IVF-ET)</p> <p><strong>Methods: </strong>A total of 200 PCOS patients<strong> </strong>undergoing IVF-ET in the Reproductive Medicine Center, Second People's Hospital of Jingmen, China were included. The patients were divided into two groups, A and B, based on their AMH levels. Serum sex hormones levels and pregnancy outcomes in terms of fertilization, cleavage, implantation, high quality embryo and biochemical and clinical pregnancy rates were compared. </p> <p><strong>Results: </strong>Mean age of the patients was<strong> </strong>28.74±2.07 years in group A and 29.74±2.23<sup> </sup>years in group B. Participants in group A had lower serum levels of follicle stimulating hormone (FSH), luteinizing hormone (LH), and testosterone (T) compared to group B. Also, better pregnancy outcomes and lower frequency of pregnancy complications were seen in the participants of group A (P<0.05). AMH serum levels showed high specificity and sensitivity in predicting IVF-ET clinical pregnancy in PCOS patients. </p> <p><strong>Conclusion: </strong>Serum AMH levels in females with PCOS predict improved sex hormone profile and clinical pregnancy outcomes after IVF-ET</p>
A developmental perspective on sleep consistency: Preschool age through emerging adulthood

ABSTRACT Objective/Background: Beyond sleep duration, the regularity of sleep patterns (e.g., sleep consistency), including variability in sleep timing (e.g., bedtime, wake time) and duration, is a critical marker of sleep health. Sleep consistency is captured using a variety of methods within the literature (e.g., sleep intraindividual variability, social jetlag), but most of the research focuses on adolescents. Methods: Drawing on a developmental perspective, this narrative review highlights how normative changes at the individual (e.g., biological, cognitive, and social) and contextual (e.g., home, school, sociocultural) levels may contribute to inconsistent sleep patterns across development. Results and Conclusions: This review emphasizes how inconsistent sleep may increase across pivotal transitions throughout development (e.g., elimination of naps, puberty, summertime, entering college). Finally, recommendations for measuring sleep consistency and areas to address in future research are discussed.
RESILIENCE OF THE FRENCH DISTRIBUTION NETWORK TO CLIMATE CHANGE: PROJECTED CHANGES FOR MAIN METEOROLOGICAL HAZARDS AROUND 2050

Because of the long lifetime of electricity distribution networks assets, it is necessary to study right now possible evolutions of the main meteorological hazards around 2050 in order to anticipate potential adaptation needs. The five considered hazards are: strong winds, heavy precipitations, wet snow, extreme hot temperature and wildfire. The changes in occurrence and/or intensity of these events have been studied using climate simulations under two IPCC emission scenarios: RCP8.5 (business as usual) and RCP4.5 (corresponding roughly to the Nationally Determined Contributions following the Paris agreement). As expected for this time horizon, climate model uncertainty is larger than that linked to the emission scenario. No major changes are projected for storms, wet snow, and heavy rainfalls. Extreme hot temperature however is expected to increase. Daily maximum temperature may increase by 5°C up to 10°C. An increase in the occurrence coupled with an extension to the north of the regions at risk and a lengthening of the season at risk are projected for wildfires. These results represent a first step and will have to be updated regularly following scientific progress. Nevertheless, they are very important for they support the adopted adaptation strategy of the DSO Enedis.
Task Delegability to AI: Evaluation of a Framework in a Knowledge Work Context

With the increased research focus on ways to use AI for augmentation rather than automation of knowledge-intensive work, a myriad of questions on how this should be accomplished arises. To break down the complexity of Human-AI collaboration, this paper pursues the identiﬁcation of factors that contribute to the delegation of tasks to AI in such a setting, and consequently gain insights into requirements for meaningful task allocation. To address this research gap, we carried out an empirical study on an existing task delegability framework in a knowledge work context. We employed several statistical approaches such as conﬁrmatory factor analysis, linear regression, and analysis of covariance. Results show that an adapted framework with fewer factors ﬁts the data better. As for the framework factors, we show that the factor trust predicts delegability best. Furthermore, we ﬁnd a signiﬁcant impact of task on delegability decision. Finally, we derive theoretical and design implications.
Robust Predictive Control for Linear Permanent Magnet Synchronous Motor Drives Based on an Augmented Internal Model Disturbance Observer

To optimize the current-control performance of the linear permanent magnet synchronous motor (LPMSM) drive system, a robust continuous time model-based predictive control for the LPMSM drive systems is proposed in this article. Since the current regulation technology is fundamental for obtaining the precise thrust of the LPMSM, a continuous time model-based predictive control is utilized in the current loop to achieve a fast dynamic response and accurate tracking accuracy. However, the predictive control is a model-based scheme, thus, the model uncertainties and parameter variations will influence the accuracy of stator current. To solve this problem, an augmented internal model disturbance observer is proposed to estimate the lumped disturbances and then compensate to the forward channel. First, the internal model equation of the current loop is constructed by the internal model control principle. Then, a new augmented matrix is constructed by introducing the error variables of the actual current and the internal model current. The observer control law is designed by the state feedback theory, and the observer parameters are optimized by pole assignment method. Finally, the experimental results demonstrate the correctness and effectiveness of the proposed method.
Plant Flavonoids in Mediterranean Species: A Focus on Flavonols as Protective Metabolites under Climate Stress

Flavonoids are specialized metabolites largely widespread in plants where they play numerous roles including defense and signaling under stress conditions. These compounds encompass several chemical subgroups such as flavonols which are one the most represented classes. The most studied flavonols are kaempferol, quercetin and myricetin to which research attributes antioxidative properties and a potential role in UV-defense through UV-screening mechanisms making them critical for plant adaptation to climate change. Despite the great interest in flavonol functions in the last decades, some functional aspects remain under debate. This review summarizes the importance of flavonoids in plant defense against climate stressors and as signal molecules with a focus on flavonols in Mediterranean plant species. The review emphasizes the relationship between flavonol location (at the organ, tissue and cellular scales) and their function as defense metabolites against climate-related stresses. It also provides evidence that biosynthesis of flavonols, or flavonoids as a whole, could be a crucial process allowing plants to adapt to climate change, especially in the Mediterranean area which is considered as one of the most sensitive regions to climate change over the globe.
Short-term electricity price prediction based on resilient adaptive artificial fish school algorithm and back propagation neural network hybrid algorithm

To improve the accuracy of short-term price forecast of power market,this paper analyzes the shortcomings of the traditional artificial fish school algorithm (AFSA),and a resilient adaptive AFSA(RAAFSA) is put forth.The forecast model adopts a hybrid algorithm RAAFSA-BP that is a combination of RAAFSA with back propagation(BP) neural network,or neural network trained by RAAFSA.This model can be used for short-term price forecast and the model parameters are automatically determined from sample data.Test results show a faster convergence and higher accuracy than that of AFSA or BP neural network with a maximum error 1.762 $/MWh and a mean relative error 2%.
Theta Oscillation and Functional Connectivity Alterations Related to Cerebral Small Vessel Disease with Working Memory Impairment

Background Impaired working memory (WM) is an important clinical symptom of cognitive dysfunction associated with cerebral small vessel disease (CSVD). Theta oscillations play an important role in the regulation of learning, WM and synaptic plasticity. Therefore, we speculate that theta oscillation may play an important role in the process of working memory impairment in CSVD. Methods Seventy-eight patients with CSVD (mean age 66.18 ± 1.42) and 49 healthy controls (HCs) (mean age 66.53 ± 1.3) were recruited to perform the WM task. Neural oscillations and functional connectivity during the encoding, maintenance, and retrieval phases of WM were evaluated during performance of WM test. Results Compared with the control group, the working memory behavior of the CSVD group showed a significantly longer reaction time and lower accuracy rate. The energy density and functional connection (FC) strength of the theta band in frontal region of the CSVD group were significantly lower than those of the control group, and the theta oscillation in the retrieval phase was significantly higher than that in the coding phase. However, there was no significant change in FC strengths among three phases. Both in the two groups, the FC was significantly positively correlated with accuracy and negatively correlated with reaction time (RT). Conclusion Our results indicated that CSVD patients have significant working memory impairment, and the lack of theta oscillation in the frontal region and the abnormal functional connection of the brain network may be one of its potential neurophysiological mechanisms.
Acceptance of Wearable Technology: A Meta-Analysis

Knowing what factors drive wearable technology adoption can help companies succeed in the competitive market of wearables. In this study, we conduct a meta-analysis on the relationships of technology acceptance of wearable technology based on the extant corpus (142 effect sizes from 44 samples collected in 11 countries). The results confirm the basic expectation that the core constructs of technology acceptance models as well as reveal that perceived enjoyment and usefulness are the most important to the adoption of wearables. However, more interestingly, a granular analysis of moderating effects shows that cultural factors including uncertainty avoidance, future orientation and humane orientation can significantly moderate the relationships between different determinants and wearable adoption. In addition, compared with other types of smart wearables, the users of smartwatches would place more weight on perceived self-expressiveness. These findings offer insights for future wearables-related research and also have practical implications for designing and developing successful wearable products.
Differential Response of Candida Species Morphologies and Isolates to Fluconazole and Boric Acid

Candida albicans is the most prevalent cause of vulvovaginal candidiasis (“yeast infection” or VVC) and recurrent vulvovaginal candidiasis (RVVC), although the incidence of non-albicans yeast species is increasing. The azole fluconazole is the primary antifungal drug used to treat RVVC, yet isolates from some species have intrinsic resistance to fluconazole, and recurrent infection can occur even with fluconazole-susceptible populations. ABSTRACT Candida albicans is the most prevalent cause of vulvovaginal candidiasis (“yeast infection” or VVC) and recurrent vulvovaginal candidiasis (RVVC), although the incidence of non-albicans yeast species is increasing. The azole fluconazole is the primary antifungal drug used to treat RVVC, yet isolates from some species have intrinsic resistance to fluconazole, and recurrent infection can occur even with fluconazole-susceptible populations. The second-line broad-spectrum antimicrobial drug, boric acid, is an alternative treatment that has been found to successfully treat complicated VVC infections. Far less is known about how boric acid inhibits growth of yeast isolates in different morphologies compared to fluconazole. We found significant differences in drug resistance and drug tolerance (the ability of a subpopulation to grow slowly in high levels of drug) between C. albicans, Candida glabrata, and Candida parapsilosis isolates, with the specific relationships dependent on both drug and phenotype. Population-level variation for both susceptibility and tolerance was broader for fluconazole than boric acid in all species. Unlike fluconazole, which neither prevented hyphal formation nor disrupted mature biofilms, boric acid inhibited C. albicans hyphal formation and reduced mature biofilm biomass and metabolic activity in all isolates in a dose-dependent manner. Variation in planktonic response did not generally predict biofilm phenotypes for either drug. Overall, our findings illustrate that boric acid is broadly effective at inhibiting growth across many isolates and morphologies, which could explain why it is an effective treatment for RVVC.
For Exercise, Relaxation, or Spirituality: Exploring Participation Motives and Conformity to Masculine Norms among Male and Female Yoga Participants

Yoga is a traditional practice from India with the potential to promote physical activity and health. Participation worldwide remains low, particularly among men. To better understand yoga participation parameters, with a special focus on what influences male participation, this study examined gender differences in participation motives and conformity to masculine norms. It also explored these factors across three participant subgroups who differed in their engagement with the physical and the more psycho-spiritual aspects of yoga. A total of 546 yoga participants (138 males, 399 females, 9 others), 18–73 years old, completed an online survey that included an adapted version of the Exercise Motivation Inventory–2 and three subscales from the Conformity to Masculine Norms Inventory–46. Results showed significant gender differences in participation motives and conformity to masculine norms. Females were more motivated by positive affect, health/fitness, nimbleness, mind–body integration, and coping/stress management, whereas males were more motivated by supplementary activity and competition/social recognition. These differences should be considered in tailoring messages to promote uptake and continued participation. Furthermore, males were more likely than females to conform to emotional control and heterosexual self-presentation masculine norms. Future research may examine how differences in masculine norm adherence influences uptake, particularly among men.
IgA Complexes Induce Neutrophil Extracellular Trap Formation More Potently Than IgG Complexes

Neutrophil extracellular trap (NET) formation is a powerful instrument to fight pathogens, but may induce collateral damage in the affected tissues. Besides pathogen-derived factors, immune complexes are potent inducers of NET formation. Neutrophils express IgA and IgG specific Fc receptors (FcRs) and therefore respond to complexed IgA and IgG. Especially in the context of autoimmune diseases, IgA and IgG immune complexes have been shown to trigger NET formation, a process that putatively contributes to disease severity. However, it is of question if both antibody classes stimulate neutrophils to the same extent. In this study, we compared the capability of IgA and IgG complexes formed by heat aggregation to induce NET formation. While stimulation of neutrophils with IgA complexes robustly induced NET formation, complexed IgG only marginally increased the amount of NETs compared to the unstimulated control. Mixing IgA with IgG before heat aggregation did not increase the effect of complexed IgA on neutrophils. By contrast, the presence of IgG complexes seemed to disturb neutrophil stimulation by IgA complexes. The capacity of complexed IgG to induce NET formation could not be increased by the addition of autologous serum or the removal of terminal sialic acid in the Fc glycan. Together, our data show that IgA is a much more potent inducer of NET formation than IgG. IgA may thus be the main driving force in (auto)immune complex-mediated NET formation.
Digitalisation of Urban Grid for improved Grid Planning

Mainzer Netze GmbH (MN), Distribution System Operator (DSO) of Mainz, launched a pilot project which involves monitoring a part of the Low Voltage (LV) grid of the city center of Mainz with the anticipation of the increasing installations of electric vehicle (EV) charging stations in the area. The purpose of this work is to demonstrate how LV grid digitalisation can be leveraged for improved grid planning and operation, leading to better asset utilisation and, well-informed operational and investment decisions.
Illness representations of vaping associated lung injury (VALI) and E-cigarette use: common sense model of self-regulation driven mixed-method approach

Abstract Objective The study explored differences in illness representations of VALI guided by the Common-Sense Model of Self-Regulation (CSM-SR) among non-patient adults. Design We employed a cross-sectional concurrent mixed-methods design. In the quantitative analysis, we used multivariate analysis of covariance (MANCOVA). Immersion/crystallization was used to analyze qualitative data. Main outcome measures We measured differences in illness representations of VALI by e-cigarette use status, gender, and urban/rural residence. Results E-cigarette use was associated with illness representations of VALI. Current e-cigarette users discounted the detrimental nature of VALI, compared to former and never e-cigarette users. Gender and urban/rural residence moderated the association between e-cigarette use and illness representation of VALI. In the qualitative analysis, 49.3% respondents reported components of the timeline (e.g. permanent), identity (e.g. shortness of breath), causes (e.g. THC products), consequences (e.g. life-threatening), cure/control (e.g. stop vaping), and worry (e.g. fearful). Conclusion Perceptions about VALI, such as cure and timeline, were associated with e-cigarettes use. Understanding the context in which adults perceive VALI, such as gender and rurality, may contribute to developing interventions that influence e-cigarette cessation. Future research employing CSM-SR to target strategies for promoting vaping abstinence is warranted.
Coeliac disease hidden by cryptogenic hypertransaminasaemia in children: a case report

Celiac disease is a chronic immune-mediated multisystem disorder that may affect several organs. Isolated hypertransaminasemia, with mild or nonspecific histologic changes in the liver biopsy, also known as “celiac hepatitis”, is the most frequent presentation of liver injury in celiac disease. Both, histologic changes and liver enzymes reverse to normal after treatment with a gluten-free diet in most patients. Here we report the case of a young boy presenting with asymptomatic and persistent hypertransaminasemia whose etiologic investigation led to the diagnosis of celiac disease that resolved with dietary treatment alone. This case emphasizes the need to screen Celiac disease in patients with cryptogenic hypertransaminasemia, irrespective of the existence of gastrointestinal symptoms. It also exemplifies a particular situation in which a liver biopsy is useful to establish the diagnosis of celiac hepatitis.
ASSESSING THE ACCURACY OF DISTRIBUTION GRID ANALYSIS FOR VARIOUS COMBINATIONS OF GRID MEASUREMENTS

In the wake of smart meter rollouts, distribution grid analysis using power flow calculations with time-series measurements is gaining popularity among European grid operators. Decisions about measurement infrastructure rollout strategies remain challenging as the value of different measurement types for grid analyses is often unknown. In this study we statistically analysed the results of power flow simulations and actual measurement data from a well-monitored suburban distribution grid area of EKZ, the Electric Utility of the Canton of Zurich, to assess how varying measured variables and sensor locations impact the result accuracy. Our results demonstrate that satisfactory power flow calculation accuracies can be achieved even with a smart meter coverage of around 80 % of residential customers. A key method to achieve high quality results with incomplete measurement coverage is an algorithm for load profile synthesis. We identified voltage and power at the transformer stations as the most important measurement type for power flow calculation accuracy. The results support decision making for rollouts of metering infrastructure for questions such as sensor placement, variables to measure, and software solutions to process and utilise the measurements.
Heart Failure Prediction in Athletic Heart Remodeling among Long Distance Runners

Background: Physical activity has a cardinal role in preventing and treating cardiovascular diseases. Understanding the changes that occur to the cardiac muscle in athletes is still doubtful whether it is only an adaptation to exercise or a concealed pathological condition. Most of these changes are well documented in apparently healthy heart and characterized by cardiac enlargement with Brady-arrhythmias specially individuals participating in long distance runners with exercise capacity without signs of cardiovascular disease. Methods: The study searched the subclinical myocardial necrosis by comparing two groups of young marathon runners, both groups were chosen from Al Gizera youth center in January 2018. First group included adults above the age of 18 years and ran for 12 km. and the second was under 18 years and ran for about 8 km. Both groups were volunteered for this study. They are moni-tored carefully with blood pressure, heart rate and respiratory rate and their blood samples were collected pre- and post-race immediately for assessment of cardiac markers NTproBNP, Galectin-3 and cTnI. Results: All cardiac markers were elevated post exercise compared to that achieved in pre-exercise regardless age of athletes. Also, pre-exercise adult results were higher in ga-lectin-3 and cTnI but not in proBNP while there is no difference in the acute response in both groups. These results revealed micro cardiac necrosis due to long run exercise with possible bad prognosis. Conclusions: It is important to develop risk assessment and prediction methods for screening the young athletes and consider the term athletic heart as a subclinical disorder rather than physiological adaptation.