Miracle-dz/UniFAR-FTUs huggingface dataset:
Magnetic Anisotropy in La 0.7 (Sr,Ca) 0.3 MnO 3 Epitaxial Thin Films And Crystals

The biaxial and uniaxial magnetic anisotropies of epitaxial { 100} oriented La 0.7 (Sr,Ca) 0.3 MnO 3 films on different substrates and of a sphere-shaped single crystal were measured by torque magnetometry at temperatures ranging from T = 20K to room temperature. In the films the biaxial anisotropy with easy axes 4 J/m 3 . The uniaxial anisotropy was |Ku| ≤ 10 3 J/m 3 and is explained by anisotropic stress. In the single crystal the main anisotropy is uniaxial with a hard axis parallel to [ 111], and with an anisotropy constant K R up to 10 4 J/m 3 . K R was measured in different planes and explained by the rhombohedral lattice distortion. The biaxial anisotropy in the crystal (K 1 = −10 3 J/m 3 at T = lOOK) was smaller than in the films. Differences between film and single crystalline behaviour are discussed in terms of crystal structure and lattice constriction.
Crepis vesicaria L. subsp. taraxacifolia Leaves: Nutritional Profile, Phenolic Composition and Biological Properties

Crepis vesicaria subsp. taraxacifolia (Cv) of Asteraceae family is used as food and in traditional medicine. However there are no studies on its nutritional value, phenolic composition and biological activities. In the present work, a nutritional analysis of Cv leaves was performed and its phenolic content and biological properties evaluated. The nutritional profile was achieved by gas chromatography (GC). A 70% ethanolic extract was prepared and characterized by HLPC-PDA-ESI/MSn. The quantification of chicoric acid was determined by HPLC-PDA. Subsequently, it was evaluated its antioxidant activity by DPPH, ABTS and FRAP methods. The anti-inflammatory activity and cellular viability was assessed in Raw 264.7 macrophages. On wet weight basis, carbohydrates were the most abundant macronutrients (9.99%), followed by minerals (2.74%) (mainly K, Ca and Na), protein (1.04%) and lipids (0.69%), with a low energetic contribution (175.19 KJ/100 g). The Cv extract is constituted essentially by phenolic acids as caffeic, ferulic and quinic acid derivatives being the major phenolic constituent chicoric acid (130.5 mg/g extract). The extract exhibited antioxidant activity in DPPH, ABTS and FRAP assays and inhibited the nitric oxide (NO) production induced by LPS (IC50 = 0.428 ± 0.007 mg/mL) without cytotoxicity at all concentrations tested. Conclusions: Given the nutritional and phenolic profile and antioxidant and anti-inflammatory properties, Cv could be a promising useful source of functional food ingredients.
Exploration of the Principal Component Analysis (PCA) Approach in Synthesizing the Diet Quality of the Malaysian Population

(1) Background: One of the most main dietary assessments is through a posteriori application. Although extensive research has incorporated dietary assessment of a population through a posteriori application, this study is the first to examine the Malaysian population and use an a posteriori method and principal component analysis (PCA) to assess the dietary patterns of the Malaysian population. The correlation between all dietary patterns derived via PCA and selected nutrient intake were determined in this sample of study; (2) Methods: A total of 3063 respondents (18 to 59 years old) covering Peninsular Malaysia, Sabah, and Sarawak, participated in this study. PCA was applied on the food frequency questionnaire collected from the respondents, and descriptive statistics and PCA were performed using SPSS version 21; (3) Results: Six patterns were identified: “traditional”, “ prudent”, “ modern”, “western”, “Chinese”, and “combination” diets. All together, these six patterns were able to explain 45.9% of the total variability. Few components derived from the factor loadings showed positive association with several nutrient markers. The traditional dietary pattern showed a moderate, positive correlation with total protein and total sugar intake, there was a significant moderate correlation between the prudent dietary pattern and dietary fibre, and there was a moderate positive association between the Chinese dietary pattern and total energy; and (4) Conclusions: The exploration of the PCA approach above may provide justification for assessment of dietary patterns rather than reliance on single nutrients or foods to identify potential connections to overall nutritional wellbeing as well as to explore the diet–disease relationship. However, study of pattern analysis must be conducted among the Malaysian population to produce validity and reproducibility for this dietary approach in light of the numerous methodological issues that arise when performing PCA.
Current understanding and controversies on the clinical implications of fibroblast growth factor 21

Abstract Metabolic functions of the hepatic hormone fibroblast growth factor 21 (FGF21) have been recognized for more than a decade in studying the responses of human subjects and rodent models to nutritional stresses such as fasting, high-fat diet or ketogenic diet consumption, and ethanol intake. Our interest in the beneficial metabolic effects of FGF21 has risen due to its potential ability to serve as a therapeutic agent for various metabolic disorders, including type 2 diabetes, obesity, and fatty liver diseases, as well as its potential to act as a diagnostic or prognostic biomarker for metabolic and other disorders. Here, we briefly review the FGF21 gene and protein structures, its expression pattern, and cellular signaling cascades that mediate FGF21 production and function. We mainly focus on discussing experimental and clinical literature pertaining to FGF21 as a therapeutic agent. Furthermore, we present several lines of investigation, including a few studies conducted by our team, suggesting that FGF21 expression and function can be regulated by dietary polyphenol interventions. Finally, we discuss the literature debating FGF21 as a potential biomarker in various disorders.
Dissecting the Roles of Supervised and Unsupervised Learning in Perceptual Discrimination Judgments

Our ability to compare sensory stimuli is a fundamental cognitive function, which is known to be affected by two biases: choice bias, which reflects a preference for a given response, and contraction bias, which reflects a tendency to perceive stimuli as similar to previous ones. To test whether both reflect supervised processes, we designed feedback protocols aimed to modify them and tested them in human participants. Choice bias was readily modifiable. However, contraction bias was not. To compare these results to those predicted from an optimal supervised process, we studied a noise-matched optimal linear discriminator (Perceptron). In this model, both biases were substantially modified, indicating that the “resilience” of contraction bias to feedback does not maximize performance. These results suggest that perceptual discrimination is a hierarchical, two-stage process. In the first, stimulus statistics are learned and integrated with representations in an unsupervised process that is impenetrable to external feedback. In the second, a binary judgment, learned in a supervised way, is applied to the combined percept. SIGNIFICANCE STATEMENT The seemingly effortless process of inferring physical reality from the sensory input is highly influenced by previous knowledge, leading to perceptual biases. Two common ones are contraction bias (the tendency to perceive stimuli as similar to previous ones) and choice bias (the tendency to prefer a specific response). Combining human psychophysical experiments with computational modeling we show that they reflect two different learning processes. Contraction bias reflects unsupervised learning of stimuli statistics, whereas choice bias results from supervised or reinforcement learning. This dissociation reveals a hierarchical, two-stage process. The first, where stimuli statistics are learned and integrated with representations, is unsupervised. The second, where a binary judgment is applied to the combined percept, is learned in a supervised way.
Cathepsin B Localizes in the Caveolae and Participates in the Proteolytic Cascade in Trabecular Meshwork Cells. Potential New Drug Target for the Treatment of Glaucoma

Extracellular matrix (ECM) deposition in the trabecular meshwork (TM) is one of the hallmarks of glaucoma, a group of human diseases and leading cause of permanent blindness. The molecular mechanisms underlying ECM deposition in the glaucomatous TM are not known, but it is presumed to be a consequence of excessive synthesis of ECM components, decreased proteolytic degradation, or both. Targeting ECM deposition might represent a therapeutic approach to restore outflow facility in glaucoma. Previous work conducted in our laboratory identified the lysosomal enzyme cathepsin B (CTSB) to be expressed on the cellular surface and to be secreted into the culture media in trabecular meshwork (TM) cells. Here, we further investigated the role of CTSB on ECM remodeling and outflow physiology in vitro and in CSTBko mice. Our results indicate that CTSB localizes in the caveolae and participates in the pericellular degradation of ECM in TM cells. We also report here a novel role of CTSB in regulating the expression of PAI-1 and TGFβ/Smad signaling in TM cells vitro and in vivo in CTSBko mice. We propose enhancing CTSB activity as a novel therapeutic target to attenuate fibrosis and ECM deposition in the glaucomatous outflow pathway.
Treatment for patients with sleep apnea on opioids for chronic pain: results of the OpSafe trial.

STUDY OBJECTIVES Approximately 20% of North Americans are afflicted with chronic pain with 3% being opioid users. The objective was to determine whether patients on opioids for chronic pain with newly diagnosed sleep apnea attended sleep clinic review and followed treatment recommendations. METHODS The study was a post-hoc analysis from a multicenter perspective cohort study. Inclusion criteria included: adults taking opioid medications for chronic pain for >3 months. Demographic data and daily opioid dose were collected. Sleep apnea was diagnosed via level 1 polysomnography. Patients who attended sleep clinic review were grouped based on the types of treatment they received. RESULTS 204 patients completed polysomnography and 58.8% were diagnosed to have sleep apnea (AHI ≥5). Of those with sleep apnea, 58% were recommended to have evaluation by a sleep physician. The body mass index and age were 29.5 ± 6 kg/m² and 56 ± 12 years respectively. Of the newly diagnosed sleep apnea, 25% received treatment with the majority being treated with positive airway pressure (PAP) therapy, whereas the rest received positional therapy and opioids/sedative reduction. The adherence rate of PAP therapy was 55% at 1-year. Over 50% of participants on opioids for chronic pain with newly diagnosed sleep apnea declined attendance for sleep clinic review or treatment. CONCLUSIONS There was a high refusal rate to attend clinic for treatment. Adherence to PAP therapy was low at 55%. This sheds light on the high rate of treatment non-adherence and the need for further research. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Identifier: NCT02513836.
Interdisciplinary care of children with trisomy 13 and 18

Children with trisomy 13 and 18 (previously deemed “incompatible with life”) are living longer, warranting a comprehensive overview of their unique comorbidities and complex care needs. This Review Article provides a summation of the recent literature, informed by the study team's Interdisciplinary Trisomy Translational Program consisting of representatives from: cardiology, cardiothoracic surgery, neonatology, otolaryngology, intensive care, neurology, social work, chaplaincy, nursing, and palliative care. Medical interventions are discussed in the context of decisional‐paradigms and whole‐family considerations. The communication format, educational endeavors, and lessons learned from the study team's interdisciplinary care processes are shared with recognition of the potential for replication and implementation in other care settings.
Relationship Between Depression/Anxiety and Cognitive Function Before and 6 Weeks After Major Non-Cardiac Surgery in Older Adults

Objective: To determine the relationship between affective measures and cognition before and after non-cardiac surgery in older adults. Methods: Observational prospective cohort study in 103 surgical patients age ≥ 60 years old. All participants underwent cognitive testing, Center for Epidemiologic Studies-Depression, and State Anxiety Inventory screening before and 6 weeks after surgery. Cognitive test scores were combined by factor analysis into 4 cognitive domains, whose mean was defined as the continuous cognitive index (CCI). Postoperative global cognitive change was defined by CCI change from before to after surgery, with negative CCI change indicating worsened postoperative global cognition and vice versa. Results: Lower global cognition before surgery was associated with greater baseline depression severity (Spearman’s r = −0.30, p = 0.002) and baseline anxiety severity (Spearman’s r = −0.25, p = 0.010), and these associations were similar following surgery (r = −0.36, p < 0.001; r = −0.26, p = 0.008, respectively). Neither baseline depression or anxiety severity, nor postoperative changes in depression or anxiety severity, were associated with pre- to postoperative global cognitive change. Conclusions: Greater depression and anxiety severity were each associated with poorer cognitive performance both before and after surgery in older adults. Yet, neither baseline depression or anxiety symptoms, nor postoperative change in these symptoms, were associated with postoperative cognitive change.
Spectroscopic techniques for monitoring changes in the quality of milk and other dairy products during processing and storage

Abstract The application of spectroscopic techniques can help in alleviating problems encountered during the processing of milk and dairy products. Indeed, traditional analytical methods (e.g., physicochemical measurements, sensory, chromatography) are relatively expensive, time-consuming, and require chemicals and sophisticated analytical equipment, and skilled operators. Hence, there is a need to develop faster and less costly methods for accurately monitoring changes in the quality of milk and other dairy products during processing and storage. Many nondestructive and noninvasive instrumental techniques are available for inline and online monitoring of food. These include fluorescence spectroscopy, mid-infrared (MIR), near-infrared (NIR), nuclear magnetic resonance (NMR), etc. These techniques are usually used in combination with chemometric tools a to explore the information present in spectral data. This review article will discuss the potential of the above-mentioned spectroscopic techniques for monitoring chemical modifications of dairy products and the prediction of their functional properties during processing. The advantages and disadvantages of each technique are also discussed in this review. Finally, some conclusions are drawn, and the future trends of these methods are presented.
Aerobic Biodegradation of Phenols: A Comprehensive Review

Phenol and its derivatives are hazardous pollutants that are highly toxic even at low concentrations. The management of wastewater containing high concentrations of phenols represents major economical and environmental challenges to most industries. Biotechnology has been very effective in dealing with major environmental challenges through utilizing different types of bacteria and biocatalysts to develop innovative processes for the biodegradation, biotreatment, and biosorption of various contaminants and wide range of hazardous materials. Biological treatment has proved to be the most promising and most economical approach for the removal of many organic water pollutants such as phenol. Numerous studies have been published in the literature dealing with the biodegradation of phenols utilizing different types of biomasses and different types of reactors. The authors offer a comprehensive review of the present research on the biodegradation of phenols and presents trends for future research and development, with emphasis on an integrated approach that may be adopted to get synergistically enhanced removal rates and to treat the contaminated effluents in an ecologically favorable process.
Effectiveness of 4-Week Oral Taurine Treatment for Muscle Cramps in Patients with Liver Cirrhosis: A Single-Arm Pilot Study

Purpose Painful muscle cramps are a common complication in liver cirrhosis patients, and no effective treatment is available. This pilot study aimed to evaluate whether taurine supplementation improves muscle cramps in Korean cirrhotic patients. Materials and Methods Ten cirrhotic patients who experienced muscle cramps one or more times/week were enrolled in this prospective single-arm study and administered with an oral taurine solution (1 g/50 mL) thrice a day for 4 weeks. Taurine was discontinued for the subsequent 4 weeks. The frequency and intensity of muscle cramps were evaluated using a questionnaire at weeks 0, 2, 4, 6, and 8 after the start of treatment. Results At baseline, the median frequency of muscle cramps was six times/week, and all patients had severe pain. Muscle cramp scores (frequency×intensity) decreased in seven patients by weeks 4 and 8 after treatment initiation. Compared to baseline muscle cramp scores [median 21, interquartile range (IQR): 8–84], median muscle cramp scores were lower at week 4 (6.5, IQR: 3–12, p=0.126) and week 8 (5, IQR: 1.5–56, p=0.066). All five patients whose baseline plasma taurine levels were below the normal limit showed increased taurine levels at week 4; 60% of them experienced improvements in their muscle cramps. Of the five patients with normal or higher taurine levels, 80% experienced an improvement in symptoms at week 4. The safety and tolerability of the 4-week taurine therapy were excellent. Conclusion Oral taurine therapy for 4 weeks improved muscle cramps safely in cirrhotic patients.
Love thy Aged? A State-Level Analysis of Religiosity and Mobility in Aging Populations During the Novel Coronavirus (COVID-19) Pandemic

Objectives: We test whether the association between state religiosity and distance traveled is moderated by population age during the novel coronavirus (COVID-19) pandemic. Methods: Mobility is operationalized as the state-level average median distance traveled from February 24 to May 4 across the contiguous United States. Shelter-in-place rates are operationalized as the state-level percentage of users staying home. State religiosity is measured with an index of aggregated religious identities, beliefs, and practices. Population age is indicated by the state percentage of adults aged 65 years and older. We model population mobility using regression with state clustered robust SEs. Results: We observe that religious states tend to travel more during the early stages of the pandemic. However, the behavioral risks associated with state religiosity are less pronounced in states with larger older populations. Discussion: We contribute to our understanding of the social patterning of pandemic mobility in aging populations.
Prevalence, multidrug-resistance and risk factors for AmpC β-lactamases producing Escherichia coli from hospitalized patients.

INTRODUCTION Multi-drug resistance among AmpC β-lactamases producing Escherichia coli isolates is alarming. The study aimed to know the prevalence and presumptive antibiogram of AmpC producing Escherichia coli isolates and to determine the associated risk factors. METHODOLOGY Escherichia coli isolated from various clinical specimens from hospitalized patients during the study period (January 2018- December 2018) were taken for the study. Standard biochemical reactions were used for organism identification. Antibiotic susceptibility testing was done using Kirby-Bauer method as per CLSI guidelines. Cefoxitin resistance was taken as screening tool to detect AmpC producing strains. The phenotypic confirmation was done using modified three-dimensional test. Multiplex PCR was used to detect pAmpC. RESULTS A total non-duplicate consecutive 470 Escherichia coli were isolated from various clinical specimens of hospitalized patients during the study period. Cefoxitin resistance was observed in 51.9% (244/470). Modified three dimensional test was positive in 115/244 (47.1%) strains. Genotypic characterization of phenotypic positive AmpC strains showed presence of CIT and DHA genes among 33/115 and 19/115 isolates respectively. The overall prevalence of pAmpC producing E. coli was found to be 52/470 (11.1%). Multidrug resistance (MDR) was observed in 42/52 (80.7%) pAmpC strains. Antimicrobial use, prolonged hospitalization and interventions were associated risk factors for AmpC producing isolates. CONCLUSIONS A high prevalence of multidrug resistance among AmpC producing strains suggests plasmid mediated spread of drug resistance in E. coli. Every hospital should formulate and implement infection control policies at-least for the risk group patients to control the dissemination of such microbes as infection prevention is better than infection control.
DEDNet: Offshore Eddy Detection and Location with HF Radar by Deep Learning

Oceanic eddy is a common natural phenomenon that has large influence on human activities, and the measurement and detection of offshore eddies are significant for oceanographic research. The previous classical detecting methods, such as the Okubo–Weiss algorithm (OW), vector geometry algorithm (VG), and winding angles algorithm (WA), not only depend on expert’s experiences to set an accurate threshold, but also need heavy calculations for large detection regions. Differently from the previous works, this paper proposes a deep eddy detection neural network with pixel segmentation skeleton on high frequency radar (HFR) data, namely, the deep eddy detection network (DEDNet). An offshore eddy detection dataset is firstly constructed, which has origins from the sea surface current data measured by two HFR systems on the South China Sea. Then, a spatial globally optimum and strong detail-distinguishing pixel segmentation network is presented to automatically detect and localize offshore eddies in a flow chart. An eddy detection network based on fully convolutional networks (FCN) is also presented for comparison with DEDNet. Experimental results show that DEDNet performs better than the FCN-based eddy detection network and is competitive with the classical statistics-based methods.