Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Cooperative Voltage Control for Grid-Following and Grid-Forming Distributed Generators in Islanded Microgrids

In island microgrids, to tap the voltage control potential of different DGs, this paper presents a unified distributed cooperative voltage control approach for grid-following (GFL) and grid-forming (GFM) DGs. The proposed approach consists of a unified modeling method and a novel range-consensus-based distributed control algorithm. The modeling method employs power coupling and extended state observer (ESO) to unify different inner dynamics and control structures of DGs, making the voltage regulation of different DGs can be addressed by designing the same distributed controller. The proposed distributed algorithm introduces deviation-based states to converge the voltages to an expected range instead of a consensus state, making the algorithm is more in line with the voltage control standard of the grid code than the common state consensus ones. Besides, the local feedback designed in the algorithm improves the anti-interference ability of the system. The Lyapunov technique verifies the stability of the proposed method. Finally, the effectiveness of the proposed scheme is validated by several simulation results and a hardware-in-the-loop (HIL) test.
The role of respiratory syncytial virus‐ and rhinovirus‐induced bronchiolitis in recurrent wheeze and asthma—A systematic review and meta‐analysis

Respiratory syncytial virus (RSV) is the most common cause of bronchiolitis. RSV‐induced bronchiolitis has been associated with preschool wheeze and asthma in cohort studies where the comparison groups consist of healthy infants. However, recent studies identify rhinovirus (RV)–induced bronchiolitis as a potentially stronger risk factor for recurrent wheeze and asthma.
Adhesion of Oral Bacteria to Commercial d-PTFE Membranes: Polymer Microstructure Makes a Difference

Bacterial contamination of the membranes used during guided bone regeneration directly influences the outcome of this procedure. In this study, we analyzed the early stages of bacterial adhesion on two commercial dense polytetrafluoroethylene (d-PTFE) membranes in order to identify microstructural features that led to different adhesion strengths. The microstructure was investigated by X-ray diffraction (XRD), differential scanning calorimetry (DSC), and Fourier transform infrared (FTIR). The surface properties were analyzed by atomic force microscopy (AFM), scanning electron microscopy (SEM), and surface free energy (SFE) measurements. Bacterial properties were determined using the microbial adhesion to solvents (MATS) assay, and bacterial surface free energy (SFE) was measured spectrophotometrically. The adhesion of four species of oral bacteria (Streptococcus mutans, Streptococcus oralis, Aggregatibacter actinomycetemcomitas, and Veilonella parvula) was studied on surfaces with or without the artificial saliva coating. The results indicated that the degree of crystallinity (78.6% vs. 34.2%, with average crystallite size 50.54 nm vs. 32.86 nm) is the principal feature promoting the adhesion strength, through lower nanoscale roughness and possibly higher surface stiffness. The spherical crystallites (“warts”), observed on the surface of the highly crystalline sample, were also identified as a contributor. All bacterial species adhered better to a highly crystalline membrane (around 1 log10CFU/mL difference), both with and without artificial saliva coating. Our results show that the changes in polymer microstructure result in different antimicrobial properties even for chemically identical PTFE membranes.
Association between Community Integration and Mental Health Recovery among Patients with Psychiatric Disorders

Background: The practice of integrating mentally ill patients back into the community is drawing attention all over the world. Community integration is essential for people with mental illness because it promotes their physical and mental health, life satisfaction, well-being and quality of life. It requires the mental health system, public health, and social services to develop innovative ways to help patients with psychiatric disorders to regain their place in the communities. Aim: assess the levels of community integration and mental health recovery among patients with psychiatric disorders and explore the association between both of them. Design: Descriptive correlational research design was utilized. Setting: The study was conducted at psychiatric outpatient clinic that is affiliated to Tanta University. Sample: A purposive sample of 100 patients with psychiatric disorders. Tools: Three tools were used to collect data, Sociodemographic and clinical characteristics, Community integration scale for adult with psychiatric problems (CIS-APP) and Recovery assessment scale-revised (RAS-R). Method: Each patient who attend to the outpatient clinic and met the inclusion and exclusion criteria was interviewed by the researcher on an individual base, in privacy to establish rapport and gain his trust, sign the informed consent, and complete the study tools. Results: The majority of the patients had lower levels of community integration and mental health recovery. In addition, a statistically significant positive correlation between community integration and recovery was detected. Conclusion: The studied patients had poor community integration and mental health recovery. Community integration and recovery are correlated and influencing each other. Social community integration is the first main predictor of mental health recovery among the studied psychotic patients. Recommendation: Continuous efforts are needed to improve social community integration among the patients via applying different programs for social skills training and assertiveness skills that strengthen patient’s ability to form relationships with others in the community and subsequently enhance their recovery.
Breastfeeding and Its Relation with Autism Spectrum Disorder in Children

Background: The causation of autism spectrum disorder (ASD) is uncertain, in spite of the fact that the influence of genetic and environment related influences for sure to play a principal function in the series of action. Study objectives: to investigate the strength of association between autism and maternal breastfeeding in affected children. Subjects and Methods: A community-based case control study was carried out in Riyadh, Saudi Arabia, during the period from 1 August to 31 September, 2021. A convenience sample of 102 autism child from different areas of Saudi Arabia and 100 matched control child were included in the study. A predesigned questionnaire was filled only by the parents of autistic children and normal children. Results: the majority (59.8%) of the mothers of autistic children and 62% of the mothers of the control children were early breastfed (P value <0.05). Child bottle-feeding was found in 78.4% of the autistic children and 74% of the control (P value >0.05). The number of autistic children who were never breastfed was significantly higher than non-autistic children. Most (64.7%) of our studied autistic children were females. Conclusion: The majority of the mothers of autistic children were early breastfed but they took breast feeding for less than 6 months. The majority of autistic children received colostrum during 1 two weeks after birth, but less than half were exclusively breastfed, and only small number had completed duration of breastfeeding. Pregnant mothers should be educated about the importance of breastfeeding for prevention of ASD.
Segmentation of global climate dataset into contiguous spatial units having quantitatively homogeneous climates

Discretization of global climate simplifies the spatial variability of climates. The Köppen–Geiger classification (KGC), and more recently, clustering of global climate grids, discretize the landmass into several zones corresponding to qualitatively distinct climate types. However, quantitatively, in terms of local climatograms, such zones have significant climatic variability. In this paper, we propose a segmentation of the global climatic grid as a means to delineate contiguous segments—spatial units characterized by quantitatively homogeneous climates. The level of segments' climatic homogeneity is controlled by a single parameter δ whose value determines a maximum allowable level of segments' inhomogeneity. Segmentation is implemented using a graph‐based segmentation algorithm customized to the climatic data. Application of segmentation with three different values of δ is demonstrated on the WorldClim 1.4 2.5 arc minutes resolution data. Major uses for climate segmentation are: (a) precise delineation of highly homogeneous, local climatic units, (b) checking to what degree delineation of vegetation zones can be based on climate alone, and (c) data compression of large climatic grids. The first use is demonstrated using the island of Great Britain as an example. The second use is demonstrated by the juxtaposition of KGC zones with segments. We discuss the third use in the context of using segmentation as a pre‐processing to climate clustering.
Solamargine Inhibits Prostate Cancer Cell Growth and Enhances the Therapeutic Efficacy of Docetaxel via Akt Signaling

Prostate cancer (PCa) has become a leading cause of cancer-associated incidence and mortality in men worldwide. However, most primary PCas relapse to castration-resistant PCa (CRPC) after androgen deprivation treatment. The current treatment for CRPC is based on chemotherapeutic drugs such as docetaxel, while the development of chemoresistance and severe side effects limit the therapeutic benefit. Solamargine, a natural alkaloid isolated from a traditional Chinese herbal medicine known as Solanum nigrum, exhibits antitumor activity in various human cancers. In this study, we demonstrated that solamargine substantially inhibited CRPC cell growth in a dose-dependent manner through the suppression of phosphoinositide 3-kinase (PI3K)/Akt signaling. Moreover, solamargine exhibited significant antitumor effects in mouse xenograft models. Bioinformatics analysis of docetaxel-resistant PCa cells indicated that the PI3K/Akt pathway mediated the chemoresistance of CRPC. Furthermore, solamargine significantly enhanced the efficacy of docetaxel in PCa cells. These results reveal the therapeutic potential of solamargine against human PCa.
Level of Physical Activity Knowledge of Medical Students in a Brazilian University

Background Physical inactivity is a major global public health problem, with a large impact on morbidity and mortality. For this reason, knowledge and advice on physical activity (PA) should be common to all health professionals. In this context, the role of physicians stands out, because they act in the first contact and have a high potential in addressing this issue and its impact on health promotion, prevention, and treatment in chronic diseases. This study aims to observe the level of physical activity knowledge of medical students in a university in the south of Brazil. Methods A cross-sectional study was carried out by applying the short and validated version of the International Physical Activity Questionnaire (IPAQ) to collect data on sociodemographic factors, physical activity, knowledge of physical activity, and level of physical activity. Results A total of 294 students were assessed. The average (± SD) age was 22.0 (± 3.3) years. Most were women, and 72.8% presented body mass index within the range 18.5-25 kg/m2. Results showed that 65.6% of the students practice physical activity. There was statistical difference regarding the level of physical activity (p < 0.001) and sitting time on weekdays (p = 0.031) between the groups of physically active and physically inactive individuals. Conclusion It was concluded that the practice of physical activity has no association with the level of knowledge about it. However, by practicing physical activities doctors are better able to motivate and encourage their patients.
Dietary Intake Is Unlikely to Explain Symptom Severity and Syndrome-Specific Microbiome Alterations in a Cohort of Women with Fibromyalgia

Background: Significant alterations were recently identified in the composition and putative function of the gut microbiome in women with fibromyalgia. As diet can influence the composition of the gut microbiome, differences in nutritional intake could, in theory, account for some of these specific fibromyalgia microbiome alterations. The current study aims to compare the diet of women with fibromyalgia to that of controls in order to explore possible associations between the intake of certain nutrients, symptom severity and gut microbiome composition. Methods: The study population was comprised of 56 women with fibromyalgia and 68 controls. Dietary intake was assessed using the NIH Automated Self-Administered 24 h recall, following dietitian’s instructions and the completion of a three-day dietary recall. The gut microbiome was assessed by 16S ribosomal RNA gene sequencing of stool samples. Results: Most demographic and anthropometric characteristics were comparable between groups. The average energy and macronutrient intake (total and relative) and overall diet quality score were not different between patients and controls, nor were the main vitamins, minerals, fatty acids, alcohol, caffeine, sugar or fiber intakes. The daily intake of micronutrients and normalized macronutrients in women with fibromyalgia was largely not correlated with disease-specific measures, including pain intensity, fatigue, cognitive symptoms and quality of sleep, or with the relative quantity of almost any of the gut microbiome bacterial taxa differentially abundant in fibromyalgia. Conclusion: These data demonstrate that dietary intakes, as evaluated by self-reported questionnaires, probably cannot explain the syndrome-specific differences in gut microbiome or the clinical phenotype of fibromyalgia.
Development of Practical and Cost-Effective Ultra-High-Performance Engineered Cementitious Composites Using Natural Sand and No Silica Fume

The objective of this study was to evaluate the feasibility of developing practical and cost-effective ultra-high-performance engineered cementitious composites (UHP-ECCs) using natural river sand and no silica fume (SF). Fresh and hardened properties of composites utilizing river sand, with and without SF, and incorporating 1.5 and 2 vol% (volume percent) ultra-high-molecular-weight polyethylene fibers were evaluated. Furthermore, matrix and fiber/matrix interface properties were investigated. Experimental results showed that the inclusion of SF generally produced negative impacts in the mechanical strength (i.e., compressive, tensile, and flexural) and ductility of the composites, which was mainly attributed to a worsening fiber dispersion. This was supported by the loss in workability observed when increasing fiber content or implementing SF. Clear tendencies in the effect of fiber content on the mechanical strength of the composites were not observed. However, increment in fiber content decreased the tensile ductility of the materials, presumably because of poor fiber dispersion. All the mixtures evaluated exhibited pseudo strain-hardening (PSH) behavior and ECC-like ductility, which was supported by the PSH strength and energy indexes obtained, which exceeded the minimum recommended values for robust PSH behavior. Practical and cost-effective UHP-ECC materials (i.e., cementitious composites simultaneously exhibiting compressive strength >120 MPa and tensile strain capacity >2%) using natural river sand and no SF were successfully developed, which to the authors’ knowledge was achieved for the first time.
Does the extent of the surgical margin affect the likelihood of local recurrence in Patnaik grade I or II cutaneous mast cell tumours?

PICO question Does the extent of the surgical margin affect the likelihood of local recurrence in Patnaik grade I or II cutaneous mast cell tumours? Clinical bottom line Category of research question Treatment The number and type of study designs reviewed Eight papers were critically reviewed. Five were retrospective case series, two prospective clinical trials, and one prospective case series Strength of evidence Low Outcomes reported Sequin et al. (2001) reported a local recurrence rate of 5%, but this study is 20 years old. In the studies of Simpson et al. (2004), Fulcher et al. (2006), Pratschke et al. (2013), Saunders et al. (2020), and Itoh et al. (2021), no local recurrence was observed in grade I and II mast cell tumours, while in the Milovancev et al. (2019) study, only 1/30 low-grade cutaneous mast cell tumors developed local recurrence. Therefore, there is some evidence that conservative surgical excision is sufficient to achieve local control with low recurrence rates Conclusion There is increasing evidence in the literature for conservative surgical excision of grade I and II MCTs, but because the quality of evidence is low, no clear recommendations can be made. Further studies are needed to determine recommendations for surgical excision of cutaneous MCTs based on the biological characteristics of the tumour and the completeness of histologic margins How to apply this evidence in practice The application of evidence into practice should take into account multiple factors, not limited to: individual clinical expertise, patient’s circumstances and owners’ values, country, location or clinic where you work, the individual case in front of you, the availability of therapies and resources. Knowledge Summaries are a resource to help reinforce or inform decision making. They do not override the responsibility or judgement of the practitioner to do what is best for the animal in their care.
Two-phase Gas/Liquid-Solid Flow Modelling

Sand particles present in the fluid flows extracted from oil wells causes many problems for oil and gas production companies. Collision of sand particles to the wall of oil transfer pipes and process equipment reduces wall thickness which is considered as a cause of erosion. One of the consequences of this problem is frequent failures and loss of valuable production time. Bends installed in the path of oil and gas pipelines are at risk of such erosion as mentioned. This paper is a study of computational fluid dynamics to predict erosion in the bend geometry. It uses Lagrangian approximation which includes modeling of continuous flow of fluid, Lagrangian particle tracking and calculation relating to erosion. In this work, the effect of various parameters such as flow velocity, particle diameter, and bend geometry and particle-fluid density ratio on the particle motion and consequently erosion resulting from the collision of particle to bend wall is studied.
Heart rate estimation via self-adaptive region selection and multiregion-fusion 1D CNN

Abstract. Heart rate (HR) measurement from facial videos makes physiologic detection more convenient, which achieves much attention of many researchers. However, the existing methods are not very robust against motion disturbance caused by nonrigid movements of the face (e.g., smiling, yawning, and talking). This is due to the illumination variation on the local skin region, which results in the fluctuation of color intensity values in the region of interests. Different from previous approaches using fixed regions, we propose a self-adaptive region selection algorithm and then learn a 1D convolution neural network (CNN) by fusing these selected regions for HR estimation. Concretely, the observation blood volume pulse (BVP) matrix with sub-BVP is constructed from different separated regions and denoised by the rank minimization. To explore the sub-BVP of different regions, a clustering-based method is designed to generate the regional weights. In addition, a self-adaptive region selection is constructed to dynamically filter some useful face regions for robust HR estimation. Eventually, the regions and weights are separately embedded into a 1D CNN by a multiregion-fusion module. Experiments on the MAHNOB-HCI database show that the proposed approach is effective and reaches the best performance over five metrics.
Effects of Fracture Connectivity on Rayleigh Wave Dispersion

Passive seismic characterization is an environmentally friendly method to estimate the seismic properties of the subsurface. Among its applications, we find the monitoring of geothermal reservoirs. One key characteristic to ensure a productive management of these reservoirs is the degree of fracture connectivity and its evolution, as it affects the flow of fluids within the formation. In this work, we explore the effects of fracture connectivity on Rayleigh wave velocity dispersion accounting for wave‐induced fluid pressure diffusion (FPD) effects. To this end, we consider a stratified reservoir model with a fractured water‐bearing formation. For the stochastic fracture network prevailing in this formation, we consider varying levels of fracture density and connectivity. A numerical upscaling procedure that accounts for FPD effects is employed to determine the corresponding body wave velocities. We use a Monte‐Carlo‐type approach to obtain these velocities and incorporate them in the considered fractured reservoir model to assess the sensitivity of Rayleigh wave velocity dispersion to fracture connectivity. Our results show that Rayleigh wave phase and group velocities exhibit a significant sensitivity to the degree of fracture connectivity, which is mainly due to a reduction of the stiffening effect of the fluid residing in connected fractures in response to wave‐induced FPD. These effects cannot be accounted for by classical elastic approaches. This suggests that Rayleigh wave velocity changes, which are commonly associated with changes in fracture density, may also be related to changes in interconnectivity of pre‐existing or newly generated fractures.
Association between Reciprocal Changes and Syntax Score in Patients with ST-Segment Elevation Myocardial Infarction

Background: The reciprocal change is a surrogate marker of the severity of myocardial infarction (MI). Patients exhibiting this reciprocal change tend to have a larger infarction, poorer left ventricular systolic function, higher incidence of proximal left anterior descending artery (LAD) lesions, multivessel diseases, and worse prognosis. Objective: This study aimed to find the association between reciprocal ST segment changes and syntax score in patients undergoing primary percutaneous coronary intervention (PCI) for ST elevation myocardial infarction (STEMI). Patients and methods: The study included sixty patients who were presented to Emergency Room with STEMI and underwent primary PCI. Echocardiographic evaluation was performed within 24 h of PPCI. We assessed the severity of coronary artery disease (CAD) using syntax and gensini scores. Results: There was significant difference regarding gensini score and syntax score that was higher in with reciprocal change group than without reciprocal change group. Conclusion: We concluded that there is an association between reciprocal ST segment changes and syntax score in patients undergoing primary PCI for ST elevation myocardial infarction.