Miracle-dz/UniFAR-FTUs huggingface dataset:
Stochastic Hydrodynamics of Complex Fluids: Discretisation and Entropy Production

Many complex fluids can be described by continuum hydrodynamic field equations, to which noise must be added in order to capture thermal fluctuations. In almost all cases, the resulting coarse-grained stochastic partial differential equations carry a short-scale cutoff, which is also reflected in numerical discretisation schemes. We draw together our recent findings concerning the construction of such schemes and the interpretation of their continuum limits, focusing, for simplicity, on models with a purely diffusive scalar field, such as ‘Model B’ which describes phase separation in binary fluid mixtures. We address the requirement that the steady-state entropy production rate (EPR) must vanish for any stochastic hydrodynamic model in a thermal equilibrium. Only if this is achieved can the given discretisation scheme be relied upon to correctly calculate the nonvanishing EPR for ‘active field theories’ in which new terms are deliberately added to the fluctuating hydrodynamic equations that break detailed balance. To compute the correct probabilities of forward and time-reversed paths (whose ratio determines the EPR), we must make a careful treatment of so-called ‘spurious drift’ and other closely related terms that depend on the discretisation scheme. We show that such subtleties can arise not only in the temporal discretisation (as is well documented for stochastic ODEs with multiplicative noise) but also from spatial discretisation, even when noise is additive, as most active field theories assume. We then review how such noise can become multiplicative via off-diagonal couplings to additional fields that thermodynamically encode the underlying chemical processes responsible for activity. In this case, the spurious drift terms need careful accounting, not just to evaluate correctly the EPR but also to numerically implement the Langevin dynamics itself.
FE analysis for welded hollow-section joints and bolted joints

Major advances in both hardware and software during the last two decades have led to a rapid increase in the use of non-linear finite-element analyses in the field of tubular structures. This study gives an overview of the main aspects of finite-element analyses relevant to welded hollow-section joints and bolted joints, such as the solution technique (i.e. implicit versus explicit methods), choice of element type, material non-linearity, modelling of the welds and limitations in predicting certain failure modes. A comparison of use and the results of implicit and explicit solvers are illustrated in an example on buckling of an L-shaped rectangular hollow-section column under cyclic loading. In a further example, relevant details are given of explicit finite-element analyses on large-scale bolted beam-to-column connections.
A systematic evaluation of primary headache management apps leveraging behavior change techniques

Background Mobile health apps have the potential to promote adherence to headache management through the use of evidence-based behavior change techniques (e.g., self-monitoring). While many headache management apps exist, the extent to which these apps include behavior change techniques remains unknown. Thus, the present study systematically evaluated the content and quality of commercially available headache management apps. Methods Headache apps were identified using a systematic search in the Apple App and Google Play stores. A total of 55 apps were evaluated using the taxonomy of behavior change techniques and app quality using the Mobile App Rating Scale. Results Headache management apps included 0–14 behavior change techniques (Mean [M] = 5.89) and 0–8 headache management behavior change techniques (M = 4.29). App quality ranged from 2.84–4.67 (M = 3.73) out of 5.00. Three apps, Migraine Trainer, Easeday: Headache & Migraine, and PainScale, included the highest number of overall and headache management behavior change techniques along with good quality scores. Conclusions While randomized controlled trials are necessary to determine the efficacy of individual headache apps, most existing apps include evidence-based headache management behavior change techniques. Headache apps often focus on either self-monitoring or stress management via relaxation training, suggesting that patients’ needs should be used to inform app selection.
Presentation and Management of Atypical Orofacial Clefts: A Single-Institution Experience for 13 Year Period

Objective This study reviews the craniofacial clefts that presented at a Nigerian tertiary health facility, highlighting our experience with the pattern of presentation and surgical care of these patients. Design A retrospective review of the smile train database and medical records of all individuals who had been diagnosed with any of the Tessier craniofacial clefts and managed between 1st January 2007 and 31st December 2020 was done. The data were presented as numbers and percentages of cases. Setting The cleft clinic of a tertiary health facility and a major cleft referral center in South-West Nigeria. Results Forty-five patients with craniofacial clefts were managed over the study period. 15.6% had associated syndromes, 2.2% had a family history of similar craniofacial cleft and 11% had a history of a possible teratogen. There were 21 (46.7%) middle clefts, 14(31.1%) lateral clefts and 10(22.2%) oblique clefts. The most common type of cleft was Tessier 0 while the Tessier 6 was the least common type. The median age at surgery was 10 months for male and 5months for female subjects, 15.3% complication rate was found in this study. Four patients had revision surgeries to correct residual deformities in this study. Conclusion The diverse presentations and occurrence of the rare craniofacial clefts present complex aesthetic and functional problems that require individualized often multidisciplinary care. The execution of a properly planned treatment will reduce complications and the need for revision surgeries.
Influence of Factors Altering Gastric Microbiota on Bariatric Surgery Metabolic Outcomes

The gut microbiota has been shown to have an impact on host metabolism. In the stomach, factors like proton pump inhibitor treatment and Helicobacter pylori haven been suggested to alter gut microbiota; however, the influence of these factors on the metabolic response to bariatric surgery has not been fully studied. ABSTRACT Little is known about the influence of gastric microbiota on host metabolism, even though the stomach plays an important role in the production of hormones involved in body weight regulation and glucose homeostasis. Proton pump inhibitors (PPIs) and Helicobacter pylori alter gut microbiota, but their impact on gastric microbiota in patients with obesity and the influence of these factors on the metabolic response to bariatric surgery is not fully understood. Forty-one subjects with morbid obesity who underwent sleeve gastrectomy were included in this study. The H. pylori group was established by the detection of H. pylori using a sequencing-based method (n = 16). Individuals in whom H. pylori was not detected were classified according to PPI treatment. Gastric biopsy specimens were obtained during surgery and were analyzed by a high-throughput-sequencing method. Patients were evaluated at baseline and 3, 6, and 12 months after surgery. β-Diversity measures were able to cluster patients according to their gastric mucosa-associated microbiota composition. H. pylori and PPI treatment are presented as two important factors for gastric mucosa-associated microbiota. H. pylori reduced diversity, while PPIs altered β-diversity. Both factors induced changes in the gastric mucosa-associated microbiota composition and its predicted functions. PPI users showed lower percentages of change in the body mass index (BMI) in the short term after surgery, while the H. pylori group showed higher glucose levels and lower percentages of reduction in body weight/BMI 1 year after surgery. PPIs and H. pylori colonization could modify the gastric mucosa-associated microbiota, altering its diversity, composition, and predicted functionality. These factors may have a role in the metabolic evolution of patients undergoing bariatric surgery. IMPORTANCE The gut microbiota has been shown to have an impact on host metabolism. In the stomach, factors like proton pump inhibitor treatment and Helicobacter pylori haven been suggested to alter gut microbiota; however, the influence of these factors on the metabolic response to bariatric surgery has not been fully studied. In this study, we highlight the impact of these factors on the gastric microbiota composition. Moreover, proton pump inhibitor treatment and the presence of Helicobacter pylori could have an influence on bariatric surgery outcomes, mainly on body weight loss and glucose homeostasis. Deciphering the relationship between gastric hormones and gastric microbiota and their contributions to bariatric surgery outcomes paves the way to develop gut manipulation strategies to improve the metabolic success of bariatric surgery.
Learning to Compose Visual Relations

The visual world around us can be described as a structured set of objects and their associated relations. An image of a room may be conjured given only the description of the underlying objects and their associated relations. While there has been significant work on designing deep neural networks which may compose individual objects together, less work has been done on composing the individual relations between objects. A principal difficulty is that while the placement of objects is mutually independent, their relations are entangled and dependent on each other. To circumvent this issue, existing works primarily compose relations by utilizing a holistic encoder, in the form of text or graphs. In this work, we instead propose to represent each relation as an unnormalized density (an energy-based model), enabling us to compose separate relations in a factorized manner. We show that such a factorized decomposition allows the model to both generate and edit scenes that have multiple sets of relations more faithfully. We further show that decomposition enables our model to effectively understand the underlying relational scene structure. Project page at: https://composevisualrelations.github. io/.
Obstructive Sleep Apnea in Underweight Children

Objectives To determine predictors of obstructive sleep apnea (OSA) in underweight children and to describe the demographic, clinical, and polysomnographic characteristics of an ethnically diverse population of underweight children with OSA. Study Design Case-control study. Setting University of Texas Southwestern Medical Center and Children’s Medical Center of Dallas Methods Underweight children aged 2 to 18 years who underwent a polysomnogram for suspected OSA between January 2014 and December 2020 were included. Underweight was defined as body mass index <5th percentile per Centers for Disease Control and Prevention guidelines. Children with apnea-hypopnea index <1.0 served as a control group. Univariate and multiple logistic regression analysis was used to determine the predictors of OSA. Significance was set at P < . 05. Results An overall 124 children met inclusion criteria: mean age, 6.4 years; 50% female; 44% Hispanic, 31% African American, and 18% Caucasian. A total of 83 children had OSA (apnea-hypopnea index ≥1.0). Height was negatively correlated with OSA (odds ratio, 0.94; 95% CI, 0.88-0.99; P = .02) while allergic rhinitis (odds ratio, 2.97; 95% CI, 1.24-7.08; P = .01) and tonsillar hypertrophy (odds ratio, 3.38; 95% CI, 1.42-8.02; P = .01) were predictors for the presence of OSA. No demographic or clinical characteristics were predictors for severe OSA. Conclusion Underweight children with OSA, as compared with those without OSA, are more likely to have decreased height, tonsillar hypertrophy, and allergic rhinitis. There are no predictors of severe OSA in underweight children. We recommend polysomnography for the diagnosis of OSA in symptomatic underweight children with large tonsils, especially when they have a history of allergies.
Be Still and You Will Know: A Mixed-Method Study on Solitude and Consideration of Future Consequences Among Youth in Rehabilitation

Although solitude is found to be undesirable to many, systematic practice of it can yield positive psychological outcomes. This mixed-method study explored the process and influence of solitude as a behavioral intervention among youths in a therapeutic community in Hong Kong. Qualitative interviews with 43 youths (67.4% male, mean age = 18.3) revealed that solitude facilitated growth in their sense of personal responsibility, increased perspective-taking, increased respect for rules, change in life attitudes, and growth in consideration of future consequences. A two-wave prospective study (n = 79, 82.3% male, mean age = 17.4) further demonstrated perceived meaningfulness in solitude predicted an increase in consideration of future consequences, but not in other types of behavioral intervention. This study preliminarily demonstrated solitude has beneficial outcomes among high-risk youths, and meaning-making can facilitate this relationship.
Missingness patterns in a comprehensive instrument identifying psychosocial and substance use risk in antenatal care

ABSTRACT Background Psychosocial vulnerabilities (e.g. inadequate social support, financial insecurity, stress) and substance use elevate risks for adverse perinatal outcomes and maternal mental health morbidities. However, various barriers, including paucity of validated, simple and usable comprehensive instruments, impede execution of the recommendations to screen for such vulnerabilities in the first antenatal care visit. The current study presents findings from a newly implemented self-report tool created to overcome screening barriers in outpatient antenatal clinics. Methods This was a retrospective chart-review of 904 women who completed the Profile for Maternal & Obstetric Treatment Effectiveness (PROMOTE) during their first antenatal visit between June and December 2019. The PROMOTE includes the 4-item NIDA Quick Screen and 15 additional items that each assess a different psychosocial vulnerability. Statistical analysis included evaluation of missing data, and exploration of missing data patterns using univariate correlations and hierarchical clustering. Results Three quarters of women (70.0%) had no missing items. In the entire sample, all but four PROMOTE items (opioid use, planned pregnancy, educational level, and financial state) had < 5% missing values, suggesting good acceptability and feasibility. Several respondent-related characteristics such as lower education, less family support, and greater stress were associated with greater likelihood of missing items. Instrument-related characteristics associated with missing values were completing the PROMOTE in Spanish or question positioning at the end of the instrument. Conclusions and Implications Conducting a comprehensive screening of theoretically and clinically meaningful vulnerabilities in an outpatient setting is feasible. Study findings will inform modifications of the PROMOTE and subsequent digitisation.
Burnout Among Pharmacy Preceptors in Northern California

Objective. The objectives of this study were to investigate the incidence of burnout syndrome among pharmacy preceptors and to identify predictors for the development of burnout in this population. Methods. This cross-sectional survey study examined burnout syndrome among pharmacy preceptors in Northern California. Preceptors were included if they self-identified as a preceptor to advanced pharmacy practice experience (APPE) students or to postgraduate pharmacy residents in their first year of residency. Burnout was assessed using the Maslach Burnout Inventory Human Services Survey, and preceptors were classified as having burnout syndrome if they scored high on emotional exhaustion and also either scored high on depersonalization or scored low on personal accomplishment. Additionally, respondents’ demographics, workplace environment, workload, and day-to-day workflow were queried to help determine predictors of burnout syndrome among this population. Result. The study included 113 pharmacy preceptors. Of the preceptors, 22% reported scores consistent with burnout, with 57% of preceptors scoring positive for burnout in one of the three burnout criteria. On multivariate regression analysis, two independent risk factors for burnout syndrome were identified: preceptors who precepted many difficult or unmotivated learners per year and preceptors who did not feel their contributions as preceptors were appreciated by their institution. Conclusion. The rate of burnout among pharmacy preceptors is high, with preceptors exhibiting high emotional exhaustion and low levels of personal accomplishment. Predictors of burnout syndrome for this population appear to be precepting many difficult or unmotivated learners and not feeling that one’s contributions as a preceptor are appreciated.
Early Postoperative Loss of Disc Height Following Transforaminal and Lateral Lumbar Interbody Fusion: A Radiographic Analysis

Study Design Retrospective comparative radiological study. Purpose To analyze the difference in early disc height loss following transforaminal and lateral lumbar interbody fusion (TLIF and LLIF). Overview of Literature Minimal disc height loss facilitated by the polyaxial screw heads can occur naturally due to mechanical loading following lumbar fusion procedures. This loss does not usually cause any significant foraminal narrowing. However, when there is concomitant cage subsidence, symptomatic foraminal compromise could occur, especially when posterior decompression is not performed. It is not known whether the type of procedure, TLIF or LLIF, could influence this phenomenon. Methods Retrospectively, patients who underwent TLIF and LLIF for various degenerative conditions were shortlisted. Each of their fused levels with the cage in situ was analyzed independently, and the preoperative, postoperative, and follow-up disc height measurements were compared between the groups. In addition, the total disc height loss since surgery was calculated at final follow-up and was compared between the groups. Results Forty-six patients (age, 64.1±8.9 years) with 70 cage levels, 35 in each group, were selected. Age, sex, construct length, preoperative disc height, cage height, and immediate postoperative disc height were similar between the groups. By 3 months, disc height of the TLIF group was significantly less and continued to decrease over time, unlike in the LLIF group. By 1 year, the TLIF group demonstrated greater disc height loss (2.30±1.3 mm) than the LLIF group (0.89±1.1 mm). However, none of the patients in either group had any symptomatic complications throughout follow-up. Conclusions Although our study highlights the biomechanical advantage of LLIF over TLIF in maintaining disc height, none of the patients in our cohort had symptomatic complications or implant-related failures. Hence, TLIF, as it incorporates posterior decompression, remains a safe and reliable technique despite the potential for greater disc height loss.
Phytophthora spp. associated with Appalachian oak forests and waterways in Pennsylvania, with P. abietivora as a pathogen of five native woody plant species.

To document the distribution of potentially harmful Phytophthora spp. within Pennsylvania (PA), the PA Department of Agriculture collected 89 plant, 137 soil, and 48 water samples at 64 forested sites from 2018 to 2020. In total, 231 Phytophthora strains were isolated using baiting assays and identified based on morphological characteristics and sequences of nuclear and mitochondrial loci. Twenty-one Phytophthora spp. in nine clades and one unidentified species were present. Phytophthora abietivora, a recently described clade 7a species, was recovered from diseased tissue of 10 native broadleaved plants and twice from soil from 12 locations. Phytophthora abietivora is most likely endemic to PA based on pathogenicity tests on six native plant species, intraspecific genetic diversity, wide distribution, and recoveries from Abies Mill. and Tsuga Carrière plantations dating back to 1989. Cardinal temperatures and morphological traits are provided for this species. Other taxa, in decreasing order of frequency, include P. chlamydospora, P. plurivora, P. pini, P. cinnamomi, P. xcambivora, P. irrigata, P. gonapodyides, P. cactorum, P. pseudosyringae, P. hydropathica, P. stricta, P. xstagnum, P. caryae, P. intercalaris, Phytophthora 'bitahaiensis', P. heveae, P. citrophthora, P. macilentosa, P. cryptogea, and P. riparia. Twelve species were associated with diseased plant tissues. This survey documented 53 new plant-Phytophthora associations and expanded the known distribution of some species.
Cardiovascular benefit of SGLT2 inhibitors

Abstract Patients with type 2 diabetes mellitus (T2D) are at increased risk of cardiovascular (CV) disease. Sodium glucose cotransporter 2 (SGLT2) inhibitors, also known as gliflozins, are a class of medications used to treat T2D by preventing the reabsorption of glucose filtered through the kidney and thereby facilitating glucose excretion in the urine. Over the past 5 years, many cardiovascular outcome trials (CVOTs) have evaluated the safety and efficacy of SGLT2 inhibitors in preventing CV events. The results of 7 CVOTs have provided solid evidence that the use of SGLT2 in patients with T2D and at high CV risk significantly reduced the risk of death from CV causes. Moreover, in patient with heart failure with reduced ejection fraction, regardless of the presence or absence of T2D, SGLT2 inhibitors use significantly reduced the risk of worsening heart failure and death from CV causes. Although the exact mechanism of the cardiorenal benefit of SGLT2 inhibitors is still unknown, studies have shown that the beneficial effect of these drugs cannot be exclusively explained by their glucose lowering effect, and several possible mechanisms have been proposed. This review will explore the changing role of SGLT2 inhibitors from a diabetes drug to clinical practice guideline-supported therapy for the prevention and treatment of CV diseases, including heart failure.
Unsupervised Learning of Symmetry Protected Topological Phase Transitions

Symmetry-protected topological (SPT) phases are short-range entangled phases of matter with a non-local order parameter which are preserved under a local symmetry group. Here, by using unsupervised learning algorithm, namely the diffusion maps, we demonstrate that can differentiate between symmetry broken phases and topologically ordered phases, and between non-trivial topological phases in different classes. In particular, we show that the phase transitions associated with these phases can be detected in different bosonic and fermionic models in one dimension. This includes the interacting SSH model, the AKLT model and its variants, and weakly interacting fermionic models. Our approach serves as an inexpensive computational method for detecting topological phases transitions associated with SPT systems which can be also applied to experimental data obtained from quantum simulators.