Miracle-dz/UniFAR-FTUs huggingface dataset:
Left Atrial Function Dynamics During Exercise in Heart Failure Pathophysiological on the Right Heart Inef

OBJECTIVES The hypothesis of this study was that left atrial (LA) dynamic impairment during exercise may trigger right ventricular (RV)-to – pulmonary circulation (PC) uncoupling and ventilation inef ﬁ ciency. BACKGROUND LA function plays a key role in the hemodynamics of heart failure with reduced ejection fraction (HFrEF) and heart failure with preserved ejection fraction (HFpEF). Extensive investigation of LA dynamics, however, has been performed exclusively at rest. METHODS A total of 49 patients with HFrEF, 20 patients with HFpEF, and 32 healthy subjects with normal LA size and reservoir function (LA volume index < 34 ml/m 2 and peak left atrial strain [LA-strain] during LA relaxation > 23%) were prospectively enrolled. They underwent cardiopulmonary exercise testing and contemporary echo-Doppler assessment of LA-strain and LA-strain rate and of RV-to-PC coupling (pulmonary arterial systolic pressure/tricuspid annular peak systolic excursion ratio), measured at rest, at 40% of predicted peak oxygen consumption, and during recovery. RESULTS In control subjects, LA-strain increased during exercise and recovery. Patients with HFpEF exhibited some LA-strain increase during exercise and recovery, whereas no changes occurred in those with HFrEF. The baseline LA-strain rate was greater in control subjects; a signi ﬁ cant enhancement during recovery was observed only in this group. In both the HFpEF and HFrEF cohorts, RV-to-PC uncoupling and LA-strain at rest, exercise, and recovery signi ﬁ cantly correlated with pulmonary arterial systolic pressure/tricuspid annular peak systolic excursion, as well as ventilation versus carbon dioxide slope, in a continuous fashion across groups (r ¼ (cid:2) 0.63 and r ¼ (cid:2) 0.59, r ¼ (cid:2) population of HF patients of both systolic and diastolic origin. pressure. The effects of loss in LA functional properties on lung vessel compliance and vascular remodeling may trigger RV overload and dysfunction. The objective of this study was to elucidate the effect of this on exercise RV-to-PC uncoupling and impaired ventilation ef ﬁ ciency. In patients with HF, LA dysfunction emerged as a key hemodynamic mediator of RV-to-PC uncoupling and impaired ventilation during exercise. Monitoring LA-strain during exercise is feasible, and the LA-strain maladaptive response during physical stress represents a novel and additional target for intervention.
Doxorubicin and Paclitaxel-loaded Lipid-based Nanoparticles Overcome Multi-Drug Resistance by Inhibiting P-gp and Depleting ATP

To test the ability of nanoparticle (NP) formulations to overcome P-gp-mediated multidrug resistance (MDR), several different doxorubicin (Dox) and paclitaxel (PX)-loaded solid lipid NPs were prepared. Dox NPs showed 6-8-fold lower IC50 values in Pgp overexpressing human cancer cells than those of free Dox. The IC50 value of PX NPs was over 9-fold lower than that of Taxol® in P-gp-overexpressing cells. A series of in-vitro cell assays were used including quantitative studies on uptake and efflux, inhibition of calcein acetoxymethylester (Calcein AM) efflux, alteration of ATP levels, membrane integrity, mitochondrial membrane potential, apoptosis and cytotoxicity. Enhanced uptake and prolonged retention of Dox were observed with NP-based formulations in P-gp-overexpressing cells. Calcein AM and ATP assays confirmed that blank NPs inhibited P-gp and transiently depleted ATP. Intravenous injection of pegylated PX BTM NPs showed marked anticancer efficacy in nude mice bearing resistant NCI/ADR-RES tumors versus all control groups. NPs may be used to both target drug and biological mechanisms to overcome MDR via P-gp inhibition and ATP depletion.
University of Birmingham Prospective Study of Autism Phenomenology and the Behavioural Phenotype of Phelan-McDermid Syndrome:

Background: The limited behavioural phenotype literature on Phelan – McDermid syndrome (PMS) indicates atypically high levels of activity, impulsivity and autism spectrum disorder (ASD) behaviours. Divergent profiles of ASD in PMS are also reported, with some studies demonstrating similarities to idiopathic ASD and others indicating an uneven profile of social and communication impairments and repetitive behaviours. An evaluation of the behavioural phenotype of PMS and the prevalence and phenomenology of ASD is warranted, particularly given the causal involvement of the SHANK3 gene in the aetiology of PMS. Methods: Carers of individuals with PMS ( N = 30; mean age = 10.55, SD = 7.08) completed questionnaires relating to impulsivity, overactivity, mood, interest and pleasure, repetitive behaviour and ASD phenomenology. These data were compared to data from matched samples of individuals with fragile X and Down syndromes and idiopathic ASD. In order to evaluate the profile of ASD phenomenology in PMS, two comparisons were made: first, including the total sample with PMS, and second, including only those who met the threshold indicative of autism on an ASD screening measure. Results: The results revealed lower mood in individuals with PMS, but no differences in impulsivity and overactivity. Compulsive and routine-driven repetitive behaviours were less common in the total sample with PMS; however, motor-based stereotyped behaviours were more common. ASD phenomenology was highly prevalent, with 87% of the sample meeting the cutoff score for ASD and 57% meeting the cutoff for autism. The profile of ASD phenomenology in the total sample with PMS differed from those with idiopathic ASD across impairments in communication and social interaction and repetitive behaviour. However, the profile of Conclusions: ASD phenomenology is common within PMS. Whilst the total sample may display an atypical profile of ASD behaviour, the profile in those who met the threshold for autism was very similar to those with idiopathic ASD. These results are discussed in relation to the wider behavioural phenotype and the emerging evidence of an autism endophenotype in PMS.
A new robust method of estimation with application to the normal distribution of order p

In a paper devoted to the application of optimal criteria for the determination of descriptive statistics, Frosini (1977) found out a remarkable convergence of the most common fitting criteria in producing the same summary distribution, given by a rectangular discrete distribution which assumes k equiprobable values. Formally, given a c.d. f. (cumulative distribution function) Φ of a r.v. (random variable) X, the nonparametric problem consists in finding the best summary of Φ by means of a rectangular discrete c.d. f. Ψ which assumes k equiprobable values θi (k integer  1), such that
Fast correct rounding of elementary functions in double precision using double-extended arithmetic

This article shows that IEEE-754 double-precision correct rounding of the most common elementary functions (exp/log, trigonometric and hyperbolic) is achievable on current processors using only double-double-extended arithmetic. This allows to improve by several orders of magnitude the worst case performance of a correctly-rounded mathematical library, compared to the current state of the art. This article builds up on previous work by Lefevre and Muller, who have shown that an intermediate accuracy of up to 158 bits is required for the evaluation of some functions. We show that the practical accuracy required can always be reduced to less than 119 bits, which is easy to obtain using well-known and well-proven techniques of double-double-extended arithmetic. As an example, a prototype implementation of the exponential function on the Itanium has a worst-case time about twice that of the standard, highly optimized libm by Intel, which doesn't offer correct rounding. Such a small performance penalty should allow correct rounding of elementary functions to become the standard.
steMMing tHe tiDe oF Ageing in CHinA

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Running head: TIME PERSPECTIVE AND BLOOD GLUCOSE MONITORING The Relationship between Time Perspective and Self-Monitoring of Blood Glucose among people with Type 1 Diabetes

Background. Self-monitoring of blood glucose helps people with type 1 diabetes to maintain glycaemic control and reduce the risk of complications. However, adherence to blood glucose monitoring is often suboptimal. Purpose. Like many health behaviours, self-monitoring of blood glucose involves exerting effort in the present in order to achieve future benefits. As such, the present research explored whether individual differences in time perspective – specifically, the extent to which people have a balanced time perspective – are associated with the frequency with which people with type 1 diabetes monitor their blood glucose and, thus, maintain glycaemic control. Methods. Adults with type 1 diabetes completed measures of time perspective, feelings associated with monitoring, attitudes toward monitoring, and trait self-control. Objective data regarding the frequency with which participants monitored their blood glucose levels and their long-term glycaemic control was extracted from their medical records. Results. Hierarchical regression analyses and tests of indirect effects (N = 129) indicated that having a more balanced time perspective was associated with more frequent monitoring of blood glucose, and as a result, better glycaemic control. Further analyses (N =158) also indicated that there was an indirect relationship between balanced time perspective and monitoring of blood glucose via the feelings that participants associated with monitoring and their subsequent attitudes toward monitoring. Conclusions. These findings point to the importance and relevance of time perspective for understanding health-related behaviour and may help to inform interventions designed to promote self-monitoring of blood glucose in people with type 1 diabetes.
COPD_A_271237 2779..2786

Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences & Technology, Wuhan, People’s Republic of China; Wuhan Clinical Medical Research Center for Chronic Airway Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences & Technology, Wuhan, People’s Republic of China; Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences & Technology, Wuhan, People’s Republic of China; Key Site of National Clinical Research Center for Respiratory Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences & Technology, Wuhan, People’s Republic of China; Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, People’s Republic of China; Laboratory of Respiratory Disease, Affiliated Hospital of Guilin Medical University, Guilin, People’s Republic of China
Predicting parking space availability based on heterogeneous data using Machine Learning techniques

These days, smart cities are focused on improving their services and bringing quality to everyday life, leveraging modern ICT technologies. For this reason, the data from connected IoT devices, environmental sensors, economic platforms, social networking sites, governance systems, and others can be gathered for achieving such goals. The rapid increase in the number of vehicles in major cities of the world has made mobility in urban areas difficult, due to traffic congestion and parking availability issues. Finding a suitable parking space is often influenced by various factors such as weather conditions, traffic flows, and geographical information (markets, hospitals, parks, and others). In this study, a predictive analysis has been performed to estimate the availability of parking spaces using heterogeneous data from Cork County, Ireland. However, accumulating, processing, and analysing the produced data from heterogeneous sources is itself a challenge, due to their diverse nature and different acquisition frequencies. Therefore, a data lake has been proposed in this study to collect, process, analyse, and visualize data from disparate sources. In addition, the proposed platform is used for predicting the available parking spaces using the collected data from heterogeneous sources. The study includes proposed design and implementation details of data lake as well as the developed parking space availability prediction model using machine learning techniques.
Evaluation of the MSMEs with Technology Acceptance Model (Tam)

Today's business activities have entered the modern era, which uses technology as the media. The application of technology is not only done by large companies, but also in MSMEs. The application of ERP technology, especially in CRM to manage customer relations with a company; is very necessary for the interests and progress of a company. The business processes of the Weaving X MSMEs that use CRM are still running conventionally, where there is no adequate customer m causes problems such as a collision that often happens in customer consultation schedules, the lack of real-time information in customers, and the company is overwhelmed in communication with customers who are living in far places. The solution to this problem is to apply E technology; which is a model of managing customer relationships online. With the use of open-source software such as Odoo; both companies and customers can enjoy the convenience and benefits of services and features in the application. This is based on the evaluation of the testing conducted on 20 respondents regarding the implementation of Odoo which showed the perceived ease-of-use with a percentage value of 48.33% "agree" and the perceived usefulness of means that the Odoo-based E-CRM is considered to be very helpful for a company in managing relationships with its customers.
The impact of obesity on fertility and sexual function in women of child bearing age

Abstract Obesity and infertility are health problems that are increasing in frequency. In this study, sexual dysfunction in obese infertile women was investigated. A total of 450 women who met the inclusion criteria were recruited for the study; 150 women who had obesity without infertility, 150 women who had obesity with infertility and 150 women with normal weight but without infertility, which was the control group. The mean age of the groups were 31.3 ± 3.9, 31.2 ± 3.8 and 31.1 ± 4.5, respectively. The participants were administered a sociodemographic data form, the Female Sexual Function Index (FSFI) and the Beck Depression Inventory following the measurement of body mass index (BMI). FSFI score below 26.55 was defined as sexual dysfunction. Our data were analysed using SPSS (Statistical Package for Social Sciences) 21.0 for Windows (SPSS Inc., Chicago, IL). FSFI scores were observed to be statistically significantly lower in the group of obese women with infertility than in the other two groups. In our study, sexual dysfunction was found to be statistically significantly higher in obese women with infertility compared to the control group. Therefore, healthcare professionals should evaluate infertility in obese women in terms of sexual dysfunction as well as infertility treatment. Impact Statement What is already known on this subject? Psychological problems such as depression and anxiety, changes in sex hormones, and adipokines were reported to have negative impacts on sexual functions (Plaisance et al. 2009; Kendler et al. 2010; Yaylali et al. 2010). There are also various reports stating that female infertility has negative effects on sexual satisfaction and that fertility anxiety may affect sexual functions as an independent factor (Pakpour et al. 2012; Kaya et al. 2021). Even so there is a limited amount of information concerning the effects of obesity and infertility on female sexual function. What do the results of this study add? It has been found in our study that sexual dysfunction is higher in women with obesity and infertility and that this dysfunction is correlated with BMI. What are the implications of these findings for clinical practice and/or further research? It is therefore important that healthcare professionals adopt a holistic approach that incorporates sexual health consultancy to improve the treatment and quality of life of women with obesity and infertility.
Impact of Bacillus subtilis Antibiotic Bacilysin and Campylobacter jejuni Efflux Pumps on Pathogen Survival in Mixed Biofilms

Campylobacter jejuni is a prevalent cause of foodborne infections worldwide, while Bacillus subtilis as a potential probiotic represents an alternative strategy to control this alimentary infection. However, only limited literature exists on the specific mechanisms that shape interactions between B. subtilis and C. jejuni in biofilms. ABSTRACT The foodborne pathogen Campylobacter jejuni is typically found in an agricultural environment; in animals, such as birds, as an intestinal commensal; and also in food products, especially fresh poultry meat. Campylobacter interactions within mixed species biofilms are poorly understood, especially at the microscale. We have recently shown that the beneficial bacterium Bacillus subtilis reduces C. jejuni survival and biofilm formation in coculture by secreting the antibiotic bacillaene. We extend these studies here by providing evidence that besides bacillaene, the antagonistic effect of B. subtilis involves a nonribosomal peptide bacilysin and that the fully functional antagonism depends on the quorum-sensing transcriptional regulator ComA. Using confocal laser scanning microscopy, we also show that secreted antibiotics influence the distribution of C. jejuni and B. subtilis cells in the submerged biofilm and decrease the thickness of the pathogen’s biofilm. Furthermore, we demonstrate that genes encoding structural or regulatory proteins of the efflux apparatus system (cmeF and cmeR), respectively, contribute to the survival of C. jejuni during interaction with B. subtilis PS-216. In conclusion, this study demonstrates a strong potential of B. subtilis PS-216 to reduce C. jejuni biofilm growth, which supports the application of the PS-216 strain to pathogen biofilm control. IMPORTANCE Campylobacter jejuni is a prevalent cause of foodborne infections worldwide, while Bacillus subtilis as a potential probiotic represents an alternative strategy to control this alimentary infection. However, only limited literature exists on the specific mechanisms that shape interactions between B. subtilis and C. jejuni in biofilms. This study shows that in the two species biofilms, B. subtilis produces two antibiotics, bacillaene and bacilysin, that inhibit C. jejuni growth. In addition, we provide the first evidence that specific pathogen efflux pumps contribute to the defense against B. subtilis attack. Specifically, the CmeDEF pump acts during the defense against bacilysin, while CmeR-dependent overexpression of CmeABC nullifies the bacillaene attack. The role of specific B. subtilis antibiotics and these polyspecific pumps, known for providing resistance against medically relevant antibiotics, has not been studied during bacterial competition in biofilms before. Hence, this work broadens our understanding of mechanisms that shape antagonisms and defense during probiotic-pathogen interactions.
Association of Single-Nucleotide Variants in the Human Leukocyte Antigen and Other Loci With Childhood Hodgkin Lymphoma

Key Points Question What genetic variants or genes are associated with the risk of childhood Hodgkin lymphoma? Findings In this genetic association study nested within 3 childhood cancer survivor cohorts, 3 independent single-nucleotide variants (SNVs, formerly single-nucleotide polymorphisms) in the human leukocyte antigen (HLA) locus and 5 loci in non-HLA regions were found to be significantly associated with risk of childhood-onset Hodgkin lymphoma. Two-thirds of previously reported Hodgkin lymphoma–associated non-HLA SNVs were replicated in the analysis. Meaning These findings suggest predominantly common and potentially unique genetic etiology between childhood-onset and adulthood-onset Hodgkin lymphoma.
Investigations into the impact of astronomical phenomena on the terrestrial biosphere and climate

This thesis assesses the influence of astronomical phenomena on the Earth's biosphere and climate. I examine in particular the relevance of both the path of the Sun through the Galaxy and the evolution of the Earth's orbital parameters in modulating non-terrestrial mechanisms. I build models to predict the extinction rate of species, the temporal variation of the impact cratering rate and ice sheet deglaciations, and then compare these models with other models within a Bayesian framework. I find that the temporal distribution of mass extinction events over the past 550 Myr can be explained just as well by a uniform random distribution as by other models, such as variations in the stellar density local to the Sun arising from the Sun's orbit. Given the uncertainties in the Galaxy model and the Sun's current phase space coordinates, as well as the errors in the geological data, it is not possible to draw a clear connection between terrestrial extinction and the solar motion. In a separate study, I find that the solar motion, which modulates the Galactic tidal forces imposed on Oort cloud comets, does not significantly influence this cratering rate. My dynamical models, together with the solar apex motion, can explain the anisotropic perihelia of long period comets without needing to invoke the existence of a Jupiter-mass solar companion. Finally, I find that variations in the Earth's obliquity play a dominant role in triggering terrestrial deglaciations over the past 2 Myr. The precession of the equinoxes, in contrast, only becomes important in pacing large deglaciations after the transition from the 100-kyr dominant periodicity in the ice coverage to a 41-kyr dominant periodicity, which occurred 0.7 Myr ago.