Miracle-dz/UniFAR-FTUs huggingface dataset:
Hele-Shaw flows with free boundaries in a corner or around a wedge Part II: Air at the vertex

Consider a Hele-Shaw cell with the fluid (liquid) confined to an angular region by a solid boundary in the form of two half-lines meeting at an angle απ; if 0 < α < 1 we have flow in a corner, while if 1 < α [les ] 2 we have flow around a wedge. We suppose contact between the fluid and each of the lines forming the solid boundary to be along a single segment that does not adjoin the vertex, so we have air at the vertex, and contemplate such a situation that has been produced by injection at a number of points into an initially empty cell. We show that, if we assume the pressure to be constant along the free boundaries, the region occupied by the fluid is the image of a rectangle under a conformal map that can be expressed in terms of elliptic functions if α = 1 or α = 2, and in terms of theta functions if 0 < α < 1 or 1 < α < 2. The form of the function giving the map can be written down, and the parameters appearing in it then determined as the solution to a set of transcendental equations. The procedure is illustrated by a number of examples.
Attribute-level and pattern-level classification consistency and accuracy indices for cognitive diagnostic assessment

Classification consistency and accuracy are viewed as important indicators for evaluating the reliability and validity of classification results in cognitive diagnostic assessment (CDA). Pattern-level classification consistency and accuracy indices were introduced by Cui, Gierl, and Chang. However, the indices at the attribute level have not yet been constructed. This study puts forward a simple approach to estimating the indices at both the attribute and the pattern level through one single test administration. Detailed elaboration is made on how the upper and lower bounds for the attribute-level accuracy can be derived from the variance of error of the attribute mastery probability estimate. In addition, based on Cui's pattern-level indices, an alternative approach to estimating the attribute-level indices is also proposed. Comparative analysis of simulation results indicate that the new indices are very desirable for evaluating test-retest consistency and correct classification rate.
Analysis of Swedish school buildings’ energy performance certificates with focus on ventilation systems

Energy performance certificates are valuable sources of information about buildings. They are primarily used to assess the buildings’ energy performance, however the data included can also be used for building stock description or analysis from different perspectives. School buildings account for a substantial part of the Swedish public building stock and represent a great opportunity for implementation of energy saving strategies. To improve the energy efficiency, it is first important to analyse and understand the current energy use and identify the key factors responsible for most of the energy use. In Sweden, data used for EPC compilation are in most cases real measured data opposite to other European countries where EPC comprises calculated data practices. Therefore, the energy performance value provides a much more realistic representation of the building energy use. This study analyses certain aspects of school buildings’ energy performance using data available in EPCs, such as year of construction, floor area, heat supply systems and ventilation system. Comparison with data from some other European countries is also presented. The data which could be included in the certificate to extend the potential of EPC use in other areas, such as evaluation of indoor environmental quality, is also discussed.
Solar cadastre for assessment of near-zero energy districts

The building sector is responsible for approximately 40% of the total energy consumption in Europe, with most of it allocated to space heating. Additionally, a continuous increase has been observed in conventional energy prices, as well as a dependency of energy supply on geopolitical stability. Building energy independence and net zero energy buildings and districts are presented as a way to overcome these issues, with the addition of on-site renewable energy, and specifically solar energy, exploitation. The intention to utilise solar energy on-site creates the need for solar mapping in urban areas. A dynamic solar potential estimation is essential for the proper dimensioning of solar systems, and it is conducted in this study via the Energy3D software. A typical urban neighbourhood in Thessaloniki Greece is selected and a simplified version of a Solar Cadastre for the area is produced. The annual solar potential of the selected buildings is calculated and analysed, and the parameters affecting it are presented. Additionally, an estimation regarding the electricity production of typical photovoltaic panels installed on the building surfaces is conducted. The calculations highlight the importance of vertical facades as building integrated photovoltaic (BIPV) systems carriers.
Electron energization and mixing observed by MMS in the vicinity of an electron diffusion region during magnetopause reconnection

Measurements from the Magnetospheric Multiscale (MMS) mission are reported to show distinct features of electron energization and mixing in the diffusion region of the terrestrial magnetopause reconnection. At the ion jet and magnetic field reversals, distribution functions exhibiting signatures of accelerated meandering electrons are observed at an electron out‐of‐plane flow peak. The meandering signatures manifested as triangular and crescent structures are established features of the electron diffusion region (EDR). Effects of meandering electrons on the electric field normal to the reconnection layer are detected. Parallel acceleration and mixing of the inflowing electrons with exhaust electrons shape the exhaust flow pattern. In the EDR vicinity, the measured distribution functions indicate that locally, the electron energization and mixing physics is captured by two‐dimensional reconnection, yet to account for the simultaneous four‐point measurements, translational invariant in the third dimension must be violated on the ion‐skin‐depth scale.
Development and validation of a population pharmacokinetic model to guide perioperative tacrolimus dosing after lung transplantation

Background: Tacrolimus therapy is standard of care for immunosuppression after lung transplantation. However, tacrolimus exposure variability during the early postoperative period may contribute to poor outcomes in this population. Few studies have examined tacrolimus pharmacokinetics (PK) during this high-risk time period. Methods: We conducted a retrospective pharmacokinetic study in lung transplant recipients at the University of Pennsylvania who were enrolled in the Lung Transplant Outcomes Group (LTOG) cohort. We derived a model in 270 patients using NONMEM (version 7.5.1) and examined validity in a separate cohort of 114 patients. Covariates were examined with univariate analysis and multivariable analysis was developed using forward and backward stepwise selection. Performance of the final model in the validation cohort was examined with calculation of mean prediction error (PE). Results: We developed a one-compartment base model with a fixed rate absorption constant. Significant covariates in multivariable analysis were postoperative day, hematocrit, transplant type, CYP3A5 genotype, total body weight, and time-varying postoperative day, hematocrit, and CYP inhibitor drugs. The strongest predictor of tacrolimus clearance was postoperative day, with median predicted clearance increasing more than threefold over the 14 day study period. In the validation cohort, the final model showed a mean PE of 36.4% (95%CI 30.8%-41.9%) and a median PE of 7.2% (IQR -29.3%-70.53%). Conclusion: Postoperative day was the strongest predictor of tacrolimus exposure in the early post-lung transplant period. Future multicenter studies employing intensive sampling to examine a broad set of variables related to critical illness physiology are needed to understand determinants of clearance, volume of distribution and absorption in this population.
Study of the dynamical and morphological properties of massive stars with high angular resolution techniques

Premio a la mejor tesis doctoral en Astronomia y Astrofisica del ano 2015 (Sociedad Espanola de Astronomia, 3 de Mayo 2016). Explicacion por el autor del contenido de la tesis : http://www.sea-astronomia.es/drupal/content/entregados-los-premios-sea-tesis-2014-y-2015
Characterization of extended spectrum β-lactamase producing Escherichia coli strains isolated from urogenital system of dogs in Van province of Turkey

Background: Escherichia coli is a bacterial agent that causes urogenital system infection in dogs. Beta-lactam (β-lactam) group antibiotics are frequently used in the treatment of E. coli infections. Aims: This study aimed to investigate the presence of extended-spectrum β-lactamase (ESBL) and plasmidic AmpC in E. coli strains isolated from the urogenital tracts of 125 dogs. Methods: Fifty E. coli strains were identified by conventional bacteriological and PCR methods. Disk diffusion method was used for the determination of antimicrobial susceptibility of the isolates as well as productions of plasmidic AmpC and ESBL. The presence of blaTEM, blaSHV, and blaCTX-M group genes was determined in the isolates by PCR. ERIC-PCR was also used for genotyping of the isolates. Results: Although 22 (44%) of 50 E. coli isolates were found to be ESBL positive, no isolate shows plasmidic AmpC β-lactamase production. Among 22 ESBL positive isolates, blaTEM, blaSHV, and blaCTX-M group 1 genes were found in 11 (50%), 1 (4.54%), and 6 (27.27%) isolates, respectively. The highest resistance was observed against tetracycline (28%), followed by streptomycin (24%), trimethoprim-sulfamethoxazole (24%), and chloramphenicol (22%), respectively. In the isolates, 11 different main profiles were also determined by ERIC-PCR. It was shown that ESBL positive isolates were related to G10 profiles. Conclusion: The use of extended spectrum β-lactam group antibiotics for the treatment of E. coli infections in dogs is critical; nevertheless, they may not be effective due to the high rate of resistance to this antibiotic group in E. coli.
Household costs and care seeking patterns associated with COVID-19 in Blantyre, Malawi

Economic consequences of COVID-19 illness and healthcare use for households in low income countries are not well known. We estimated costs associated with COVID-19 care-seeking and treatment from a household perspective and assessed determinants of treatment costs. A cross-sectional household survey was conducted between December 2020 and November 2021 in urban and peri-urban areas of Blantyre district. Adults (age ≥18 years) with confirmed COVID-19 were asked to report the symptoms they experienced or prompted them to seek COVID-19 tests as well as healthcare seeking behaviors preceding and following COVID-19 diagnosis. For individuals who sought healthcare, information on out-of-pocket expenditures incurred while seeking and receiving care including on transport, food etc. by both the patients and their guardians was collected. Finally, data on time use seeking, receiving care and during convalesces was recorded. Multivariate Generalized Linear Models were used to evaluate association between household COVID-19 costs and their determinants. Of 171 individuals who took part in the study, the average age was 40.7 years, standard deviation (SD) 15.0, and 50.8% were females. Most participants (85.3%) were symptomatic. Of these, 67.8% sought care at health facilities and the majority (91.7%) were treated as outpatients. The average total household cost associated with COVID-19 seeking, receiving care and convalescence was $62.81 (SD $126.02). Average costs for outpatient and inpatient cases were $52.96 (SD $54.35) and $172.39 (SD $407.08), respectively. Average out-of-pocket household expenditures were $42.62 (SD $123.10), accounting for 62% of total household costs. Being a male COVID-19 patient and engagement in formal employment were significantly associated with high COVID-19 household costs. Households face high economic burden related to COVID-19 sickness and healthcare use. Social policies that support households cope with both the direct and indirect COVID-19 cost are needed to ensure access to healthcare and protect households from COVID-19 related shocks.
The General Hopelessness Scale: Development of a measure of hopelessness for non-clinical samples

Noting concerns about the non-clinical efficacy of the Beck Hopelessness Scale (BHS), specifically the instrument’s ability to discriminate between lower levels of hopelessness, this paper describes the development of the General Hopelessness Scale (GHS) for use with general samples. Following a literature review an item pool assessing the breadth of the hopelessness construct domain was created. This was then placed in survey form and assessed within two independent studies. Study 1 (N = 305, 172 women, 133 men, Mage = 28.68) explored factorial structure, item performance, and convergent validity of the GHS in relation to standardised measures of self-esteem and trait hopelessness. In Study 2 (N = 326, 224 women, 102 men, Mage = 26.52), scrutiny of the GHS occurred using confirmatory factor analysis and invariance tests, alongside item performance and convergent validity analyses relative to measures of affect, optimism, and hope. Factor analysis (using minimum average partial correlations and exploratory factor analysis) within Study 1 revealed the existence of four dimensions (Negative Expectations, Hope, Social Comparison, and Futility), which met Rasch model assumptions (i.e., good item/person fit and item/person reliability). Further psychometric assessment within Study 2 found satisfactory model fit and gender invariance. Convergent validity testing revealed moderate to large associations between the GHS and theoretically relevant variables (self-esteem, trait hopelessness, affect, optimism, and hope) across Study 1 and 2. Further examination of performance (reliability and ceiling and floor effects) within Study 1 and 2 demonstrated that the GHS was a satisfactory measure in non-clinical settings. Additionally, unlike the BHS, the GHS does not assume that administrators are trained professionals capable of advising on appropriate interventions.
Assessing Psychological Resilience and Distress Among Graduate Health Profession Students During the COVID-19 Pandemic

Background Resilience, a person’s ability to adapt to adverse events, is associated with positive outcomes, especially in the field of healthcare. Research into the effects of the COVID-19 pandemic may help to understand and combat the long-term mental health burden for trainees in health care. Objective This cross-sectional study aimed to assess the impact of the pandemic on health profession students’ educational experiences, determine the association between their self-reported resilience and psychological distress and assess group differences between students from different graduate health profession programs in an academic medical center. Methods Graduate health profession students completed a 44-question online survey and the 10-item Connor Davidson Resilience Scale (CD-RISC-10) during the COVID-19 pandemic period between January-March 2021. We used descriptive statistics, independent samples t test, Related-samples Wilcoxon signed rank test, Pearson correlations test and Analysis of variance (ANOVA) to analyze the data. Results Majority of respondents reported that COVID-19 had a negative impact on their education and caused a reduction in educational opportunities (76.6% and 73% respectively). Majority also reported feeling burned out, lonely/isolated, or frustrated by COVID-19 restrictions (70.0%, 67.4%, and 61.8% respectively). Students reported increased use of both avoidant and adaptive coping strategies during the pandemic. Higher resilience scores were associated with higher self-reported stress, fewer burnout symptoms, and better overall well-being. Conclusion The COVID-19 pandemic significantly affected students in graduate health profession programs. Instructional quality, educational opportunities, institutional trust, peer socialization, and personal health and wellbeing were perceived to be negatively impacted. Students may require additional support and resources from their training programs to mitigate these concerns. Future studies should evaluate the long-term impact of the COVID-19 pandemic among pandemic-era graduate health profession students.
Impact of asthma on the brain: evidence from diffusion MRI, CSF biomarkers and cognitive decline

Abstract Chronic systemic inflammation increases the risk of neurodegeneration, but the mechanisms remain unclear. Part of the challenge in reaching a nuanced understanding is the presence of multiple risk factors that interact to potentiate adverse consequences. To address modifiable risk factors and mitigate downstream effects, it is necessary, although difficult, to tease apart the contribution of an individual risk factor by accounting for concurrent factors such as advanced age, cardiovascular risk, and genetic predisposition. Using a case-control design, we investigated the influence of asthma, a highly prevalent chronic inflammatory disease of the airways, on brain health in participants recruited to the Wisconsin Alzheimer’s Disease Research Center (31 asthma patients, 186 non-asthma controls, aged 45–90 years, 62.2% female, 92.2% cognitively unimpaired), a sample enriched for parental history of Alzheimer’s disease. Asthma status was determined using detailed prescription information. We employed multi-shell diffusion weighted imaging scans and the three-compartment neurite orientation dispersion and density imaging model to assess white and gray matter microstructure. We used cerebrospinal fluid biomarkers to examine evidence of Alzheimer’s disease pathology, glial activation, neuroinflammation and neurodegeneration. We evaluated cognitive changes over time using a preclinical Alzheimer cognitive composite. Using permutation analysis of linear models, we examined the moderating influence of asthma on relationships between diffusion imaging metrics, CSF biomarkers, and cognitive decline, controlling for age, sex, and cognitive status. We ran additional models controlling for cardiovascular risk and genetic risk of Alzheimer’s disease, defined as a carrier of at least one apolipoprotein E (APOE) ε4 allele. Relative to controls, greater Alzheimer’s disease pathology (lower amyloid-β42/amyloid-β40, higher phosphorylated-tau-181) and synaptic degeneration (neurogranin) biomarker concentrations were associated with more adverse white matter metrics (e.g. lower neurite density, higher mean diffusivity) in patients with asthma. Higher concentrations of the pleiotropic cytokine IL-6 and the glial marker S100B were associated with more salubrious white matter metrics in asthma, but not in controls. The adverse effects of age on white matter integrity were accelerated in asthma. Finally, we found evidence that in asthma, relative to controls, deterioration in white and gray matter microstructure was associated with accelerated cognitive decline. Taken together, our findings suggest that asthma accelerates white and gray matter microstructural changes associated with aging and increasing neuropathology, that in turn, are associated with more rapid cognitive decline. Effective asthma control, on the other hand, may be protective and slow progression of cognitive symptoms.
An improved method for intracellular DNA (iDNA) recovery from terrestrial environments

The simultaneous extraction of intracellular DNA (iDNA) and extracellular DNA (eDNA) can help to separate the living in situ community (represented by iDNA) from background DNA that originated both from past communities and from allochthonous sources. As iDNA and eDNA extraction protocols require separating cells from the sample matrix, their DNA yields are generally lower than direct methods that lyse the cells within the sample matrix. We, therefore, tested different buffers with and without adding a detergent mix (DM) in the extraction protocol to improve the recovery of iDNA from surface and subsurface samples that covered a variety of terrestrial environments. The combination of a highly concentrated sodium phosphate buffer plus DM significantly improved iDNA recovery for almost all tested samples. Additionally, the combination of sodium phosphate and EDTA improved iDNA recovery in most of the samples and even allowed the successful extraction of iDNA from extremely low‐biomass iron‐bearing rock samples taken from the deep biosphere. Based on our results, we recommend using a protocol with sodium phosphate in combination with either a DM (NaP 300 mM + DM) or EDTA (NaP + EDTA 300 mM). Furthermore, for studies that rely on the eDNA pool, we recommend using buffers solely based on sodium phosphate because the addition of EDTA or a DM resulted in a decrease in eDNA for most of the tested samples. These improvements can help reduce community bias in environmental studies and contribute to better characterizations of both modern and past ecosystems.
Effect of Early versus Delayed Use of Norepinephrine on Short-Term Outcomes in Patients with Traumatic Hemorrhagic Shock: A Propensity Score Matching Analysis

Background Guidelines recommend norepinephrine (NE) for the treatment of fatal hypotension caused by trauma. However, the optimal timing of treatment remains unclear. Objective We aimed to investigate the effect of early versus delayed use of NE on survival in patients with traumatic haemorrhagic shock (HS). Materials and Methods From March 2017 to April 2021, 356 patients with HS in the Department of Emergency Intensive Care Medicine of the Affiliated Hospital of Yangzhou University were identified using the emergency information system and inpatient electronic medical records for inclusion in the study. Our study endpoint was 24 h mortality. We used a propensity score matching (PSM) analysis to reduce bias between groups. Survival models were used to evaluate the relationship between early NE and 24 h survival. Results After PSM, 308 patients were divided equally into an early NE (eNE) group and a delayed NE (dNE) group. Patients in the eNE group had lower 24 h mortality rates than those in the dNE group (29.9% versus 44.8%, respectively). A receiver operating characteristic analysis demonstrated that a cut-off point for NE use of 4.4 h yielded optimal predictive value for 24 h mortality, with a sensitivity of 95.52%, a specificity of 81.33% and an area under the curve value of 0.9272. Univariate and multivariate survival analyses showed that the survival rate of patients in the eNE group was higher (p < 0.01) than those in the dNE group. Conclusion The use of NE within the first 3 h was associated with a higher 24 h survival rate. The use of eNE appears to be a safe intervention that benefits patients with traumatic HS.