Miracle-dz/UniFAR-FTUs huggingface dataset:
Microbiome, Mycobiome and Related Metabolites Alterations in Patients with Metabolic Syndrome—A Pilot Study

Metabolic syndrome (MetSyn) has a rapidly growing worldwide prevalence, affecting over 1 billion people. MetSyn is clustering many pathological conditions, which, untreated, could increase the risk and often lead to more severe metabolic defects such as type 2 diabetes and non-alcoholic fatty liver disease. Many data demonstrate the complex role of gut microbiota in the host metabolism, and hence, deciphering the microbiome patterns linked to MetSyn could enable us for novel diagnosis and monitoring markers and for better disease management. Moreover, interventions designed to alter patient microbiome composition may help prevent or decrease morbidity linked with MetSyn. However, the microbiome composition is largely different across geographically distinct populations. Our study investigated the microbiota and mycobiome patterns in Romanian metabolic syndrome patients. We also correlated the identified microbiome–mycobiome patterns with levels of metabolites important for host health such as short chain fatty acids, organic acids, and taurine. We found that MetSyn patients are harboring a microbiome enriched in Enterobacteriaceae, Turicibacter sp. , Clostridium coccoides, and Clostridium leptum, while beneficial taxa such as Butyricicoccus sp. , Akkermansia muciniphila, and Faecalibacterium prausnitzii were decreased. These microbiome changes were correlated with lower butyrate levels and increased succinate. In terms of mycobiome signatures, MetSyn was associated with a high abundance of Saccharomyces and Aspergillus species. Our data are the first reported on a Romanian population and confirming that the pathogenesis of MetSyn is closely related to gut microbiome and homeostasis.
Maternal Amino Acid Status in Severe Preeclampsia: A Cross-Sectional Study

Introduction: Preeclampsia has been one of the leading causes of maternal death in Indonesia. It is postulated that its relationship with oxidative stress may be the underlying pathology of the disease. Nutrients and amino acids have been suggested as a scavenger for oxygen-free radicals. No previous study regarding the amino acid status in preeclampsia has been conducted in women in Indonesia. Methods: This was a cross-sectional study of a total of 64 pregnant women, 30 with normal pregnancy and 34 with severe preeclampsia. Data were obtained in Cipto Mangunkusumo National Referral Hospital in Jakarta from July to December 2020. Maternal blood samples were taken during or soon after delivery. Amino acid levels were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Bivariate analysis was then performed. Results: We identified 19 different levels of amino acids in this study. Four amino acids that were elevated in the preeclampsia group were phenylalanine, serine, glycine, and glutamate. Serine (331.55 vs. 287.43; p = 0.03), glycine (183.3 vs. 234.35, p = 0.03), and glutamate levels (102.23 vs. 160.70, p = 0.000) were higher in preeclamptic patients. While in the essential amino acids group, phenylalanine levels (71.5 vs. 85.5, p = 0.023) were higher, and methionine levels (16.3 vs. 12.9, p = 0.022) were lower in preeclamptic patients. Conclusions: These findings suggest that severe preeclampsia had differences in concentration of some amino acids compared to normal pregnancy. Glutamate and methionine were associated with preeclampsia. Furthermore, a more detailed study regarding amino acids in the pathomechanism of preeclampsia is suggested.
Electrochemical properties of sulfur–carbon hollow nanospheres with varied polar titanium oxide layer location for lithium–sulfur batteries

Porous and graphitic carbon materials containing high amounts of sulfur are being actively studied for Li–S batteries on account of their diverse structural merits. However, the lithium polysulfides dissolution in the electrolyte during cycling is one of the obstacles in the practical application of Li–S batteries. Some strategies have been suggested to address this issue, including the physical confinement of nonporous structures or the use of polar materials. In addition, forming a polar coating layer over a sulfur‐embedded carbon matrix is considered as a highly effective strategy. However, the arrangement of elemental sulfur, the porous carbon matrix, and polar materials in the composite cathode should be further optimized to minimize polysulfide dissolution during cycling. Here, ultrafine TiOx nanodots are uniformly deposited over active sulfur embedded within hollow porous carbon nanospheres by a simple and rapid impregnation process. Depending on the infiltration order of the TiOx precursor solution, different arrangements of ultrafine TiOx nanodots are formed in the carbon shell. The polar TiOx nanodots arranged in the outermost layer of HPCS‐S efficiently block the diffusion of soluble polysulfides, which result in excellent cycle performance. The discharge capacity of the polar TiOx layer‐coated sulfur‐embedded hollow carbon nanospheres for the 500th cycle at 1.0 C (1675 mA g−1) is 630 mA h g−1, and the specific capacity at 5.0 C is 513 mA h g−1.
The Implementation of a New Cost Analysis Method: The Case of the Gp Method

The aim of this paper is to present the cases of all the businesses that have decided, during the past ten years, to put into practice the GP method of cost analysis. This was developed half a century ago and is still diffused as the UVA (Unite de Valeur Ajoutee) method. These observations illustrate the main advantage of this approach: a refined cost analysis using limited means.
Recovery of Bioactive Ellagitannins by Ultrasound/Microwave-Assisted Extraction from Mexican Rambutan Peel (Nephelium lappaceum L.)

Rambutan (Nephelium lappaceum L.) is a tropical fruit from Asia which has become the main target of many studies involving polyphenolic analysis. Mexico produces over 8 million tons per year of rambutan, generating a huge amount of agro-industrial waste since only the pulp is used and the peel, which comprises around 45% of the fruit’s weight, is left behind. This waste can later be used in the recovery of polyphenolic fractions. In this work, emerging technologies such as microwave, ultrasound, and the hybridization of both were tested in the extraction of phenolic compounds from Mexican rambutan peel. The results show that the hybrid technology extraction yielded the highest polyphenolic content (176.38 mg GAE/g of dry rambutan peel). The HPLC/MS/ESI analysis revealed three majoritarian compounds: geraniin, corilagin, and ellagic acid. These compounds explain the excellent results for the biological assays, namely antioxidant activity evaluated by the DPPH, ABTS, and LOI (Lipid oxidation inhibition) assays that exhibited great antioxidant capacity with IC50 values of 0.098, 0.335, and 0.034 mg/mL respectively, as well as prebiotic activity demonstrated by a µMax (maximum growth) of 0.203 for Lactobacillus paracasei. Lastly, these compounds have shown no hemolytic activity, opening the door for the elaboration of different products in the food, cosmetic, and pharmaceutical industries.
Early Birds and Night Owls: Distinguishing Profiles of Cannabis Use Habits by Use Times with Latent Class Analysis

Background: Understanding, predicting, and reducing the harms associated with cannabis use is an important field of study. Timing (i.e., hour of day and day of week) of substance use is an established risk factor of severity of dependence. However, there has been little attention paid to morning use of cannabis and its associations with negative consequences. Objectives: The goal of the present study was to examine whether distinct classifications of cannabis use habits exist based on timing, and whether these classifications differ on cannabis use indicators, motives for using cannabis, use of protective behavioral strategies, and cannabis-related negative outcomes. Methods: Latent class analyses were conducted on four independent samples of college student cannabis users (Project MOST 1, N=2,056; Project MOST 2, N=1846; Project PSST, N=1,971; Project CABS, N=1,122). Results: Results determined that a 5-class solution best fit the data within each independent sample consisting of the classes: (1) "Daily-morning use”,(2) “Daily-non-morning use”, (3) “Weekend-morning use”, (4) “Weekend-night use”, and (5) “Weekend-evening use. ” Classes endorsing daily and/or morning use reported greater use, negative consequences and motives, while those endorsing weekend and/or non-morning use reported the most adaptive outcomes (i.e., reduced frequency/quantity of use, fewer consequences experienced, and fewer cannabis use disorder symptoms endorsed). Conclusions: Recreational daily use as well as morning use may be associated with greater negative consequences, and there is evidence that most college students who use cannabis do avoid these types of use. The results of the present study offer evidence that timing of cannabis use may be a pertinent factor in determining harms associated with use.
Effects of Balance Training Using a Virtual Reality Program in Hemiplegic Patients

Therapeutic goals for hemiplegic patients with neurological impairments are mainly focused on improving their independent lives. Based on the previously reported effectiveness of Wii Fit balance training, this study investigated the most influential outcomes after long-term intensive training (including balance and functional factors) on quality of life in hemiplegic patients. The intervention group (n = 21) received Nintendo Wii Fit balance training under supervision, and control group (n = 20) received conventional balance training by an occupational therapist. Two groups were matched based on age and onset duration. Both groups received a total of 15 treatments for 30 min per session, twice a week for 8 weeks. There were significant improvements not only in balance confidence and activities of daily living, but also in body composition, such as fat proportion and metabolic rate, in the intervention group compared to the control group (p < 0.05). In particular, balance confidence significantly affected EuroQoL Visual Analogue Scale according to stepwise multiple regression analyses in this study. These results demonstrated that Wii Fit balance training using virtual reality improved the quality of life of hemiplegic patients while overcoming the asymmetrical weight distribution of the affected side via the self-modulating biofeedback exercises.
Machine learning identifies ecological selectivity patterns across the end-Permian mass extinction

Abstract. The end-Permian mass extinction occurred alongside a large swath of environmental changes that are often invoked as extinction mechanisms, even when a direct link is lacking. One way to elucidate the cause(s) of a mass extinction is to investigate extinction selectivity, as it can reveal critical information on organismic traits as key determinants of extinction and survival. Here we show that machine learning algorithms, specifically gradient boosted decision trees, can be used to identify determinants of extinction as well as to predict extinction risk. To understand which factors led to the end-Permian mass extinction during an extreme global warming event, we quantified the ecological selectivity of marine extinctions in the well-studied South China region. We find that extinction selectivity varies between different groups of organisms and that a synergy of multiple environmental stressors best explains the overall end-Permian extinction selectivity pattern. Extinction risk was greater for genera that had a low species richness, narrow bathymetric ranges limited to deep-water habitats, a stationary mode of life, a siliceous skeleton, or, less critically, calcitic skeletons. These selective losses directly link the extinctions to the environmental effects of rapid injections of carbon dioxide into the ocean–atmosphere system, specifically the combined effects of expanded oxygen minimum zones, rapid warming, and potentially ocean acidification.
The Impact of Belief, Attitude and Subjective Norm on OCOP Products Purchase Intention of Vietnamese Consumers

We do research about the impact of belief, attitude and subjective norm on OCOP (one community one product) products purchase intention of Vietnamese consumers. OCOP (abbreviated in English as One commune one product). In Vietnamese sense, each commune (ward) has a product. More specifically, developing the form of organization of production and trading of traditional and advantageous products in rural areas. Through testing with the fixed effects model (FEM) and random effects model (REM), we found that belief, attitude and social influence have positive impacts on the products purchase intention. Specifically, belief has the greatest impact on OCOP purchase intention of Vietnamese consumers.
Fighting Neglected Diseases: A Double Push-and-Pull Program

This paper contributes to a better understanding of the pharmaceutical market for neglected diseases and propose a program that creates incentives and encourage research and development of new medicines for neglected diseases. The current patent system ensures that incentives are directed towards generating products that people want. However, the patent system has failed to create incentives to produce products for which there is a social need but no economic demand, such as drugs for diseases that primarily affect populations with little purchasing power. This paper investigates why it is occurring and shows the impact of this problem worldwide. It reviews several proposed reforms to encourage the research and development of new drugs for neglected diseases. Getting developing countries involved in the research process turns out to be critical not only for the pharmaceutical industry but also for poor and developing countries. This is a key feature of the proposed Double Push-and-Pull program, which proposes to, systematically, reorganize some of the ideas to spur innovation by involving effectively the developing countries in the process of research and development of new drugs for neglected diseases, since they are the most affected by them. The main goal of this program is to find a connection between global decisions, policies and local people's priorities regarding neglected diseases. It is a program that makes possible a link between local needs, reality on low-income countries and global assistance.
Cadaveric Study on the Morphology and Morphometry of Heart Papillary Muscles

Introduction A normal atrioventricular valve complex of the heart consists of the atrioventricular (A-V) ring, cusps, chordae tendineae, and papillary muscles. The right ventricle contains three while the left ventricle contains only two papillary muscles, which are named according to their location. A thorough understanding of the normal anatomy as well as possible variations can help surgeons in various corrective surgeries involving papillary muscles. Material & methods The study included 50 formalin-preserved hearts procured from human cadavers of unknown age and cause of death. The number of papillary muscles along with their shape, size, and pattern were noted separately for each ventricle. Data were analyzed using SPSS Version 21.0 (IBM Corp., Armonk, NY). Results The left and right ventricles contained two and three papillary muscles, respectively, in all the hearts. In the right ventricles, conical shape and the single base and divided apex (SBDA) pattern were found to be most prevalent. Anterior papillary muscles exhibited the mean length of 12.71±3.81 and 16.41±4.33 in the right and left ventricles, respectively. Similarly, posterior papillary muscles exhibited a mean length of 12.40±3.03 and 14.64±3.92 in the right and left ventricles, respectively. Both differences were found to be statistically significant Conclusion For the appropriate functioning of valves, both anatomical and mechanical coherence of the papillary muscles is required. A very keen understanding of this valvular complex is thus essential for anatomists, physiologists, and cardiologists to deal with normal as well as pathological valvular conditions.
Lung-Targeted Delivery of Dimethyl Fumarate Promotes the Reversal of Age-Dependent Established Lung Fibrosis

Idiopathic pulmonary fibrosis (IPF), a severe and deadly form of lung fibrosis, is widely regarded as a disease of aging. We previously demonstrated that aged mice with persistent lung fibrosis and IPF lung myofibroblasts exhibit deficient Nrf2-mediated antioxidant responses. Tecfidera is an orally administered FDA-approved drug for the treatment of multiple sclerosis, where the active pharmaceutical ingredient is dimethyl fumarate (DMF), an active Nrf2 activator. However, no studies have evaluated the efficacy of DMF for age-associated persistent lung fibrosis. Here, we demonstrate that in IPF lung fibroblasts, DMF treatment inhibited both TGF-β-mediated pro-fibrotic phenotypes and led to a reversal of established pro-fibrotic phenotypes. We also evaluated the pre-clinical efficacy of lung-targeted (inhaled) vs. systemic (oral) delivery of DMF in an aging murine model of bleomycin-induced persistent lung fibrosis. DMF or vehicle was administered daily to aged mice by oral gavage or intranasal delivery from 3–6 weeks post-injury when mice exhibited non-resolving lung fibrosis. In contrast to systemic (oral) delivery, only lung-targeted (inhaled) delivery of DMF restored lung Nrf2 expression levels, reduced lung oxidative stress, and promoted the resolution of age-dependent established fibrosis. This is the first study to demonstrate the efficacy of lung-targeted DMF delivery to promote the resolution of age-dependent established lung fibrosis.
Perceptions of nursing students on the effect of cooperative learning on academic achievement and learning environment

ABSTRACT Although previous studies have highlighted the positive effects of cooperative learning (CL) on academic achievement as well as the learning environment, they have not shown how this happens. The purpose of this study was to determine the effectiveness of CL in the field of nursing, as well as to identify students’ perceptions of how these effects occur. In this mixed methods, sequential explanatory design data were collected through achievement test, WIHIC questionnaire, and in-depth interviews. There was a significant difference between the academic achievement of students and also their perception of classroom environment in the experimental and control groups in favor of CL. The students’ experience indicated that CL not only creates a secure environment and enhances the deep learning and motivational process, but also increases instructor support and provides equal opportunities for student involvement in the patient education classroom. The findings of this study illuminated the role of social interdependence theory played in helping students connected with each other to promote learning. This study can increase the willingness of instructors to implement CL. It encourage administrators to meet the prerequisites for implementing CL.
Goals and benefits of digital transformation projects: Insights into project selection criteria

Background: Digital transformation (DT) is an increasingly relevant concept for businesses to remain competitive. As DT projects are disruptive to an organisation and are significantly different from traditional information technology projects, it is important to understand the value that specific DT projects will bring to an organisation before they are implemented, so that DT project portfolios can be optimally managed. Aim: This study aims to determine the key goals and benefits of DT projects, as well as the selection criteria for DT projects in South African businesses. The study also explores the most influential technologies for driving the implementation of DT projects. Setting: South Africa is an emerging economy. The study was performed in the initial phases of nationwide lockdown owing to COVID-19. Methods: Semi-structured interviews were conducted with 11 leaders from South African businesses of varying sizes, but all in significant local markets. Content analysis using CAQDAS was used to analyse the primary data, using both inductive and deductive coding methods. Results: South African businesses use a combination of financial and non-financial project selection criteria across four main goals and benefit categories: customer experience, operational efficiency, business culture, and traditional project evaluation. The fifth proposed goal (new business models) was not used to evaluate DT projects. The most influential technologies that drive the selection of DT projects were data-related, such as data storage, data processing, machine learning, and data-driven decision-making. Conclusion: Companies in South Africa can use traditional project evaluation criteria together with several new criteria to determine the value of DT projects more holistically. This study also suggests several key practical takeaways for businesses that are aspiring to implement their own DT projects. © 2022. The Authors. Licensee: AOSIS.
A Novel Nomogram and Risk Classification System Predicting the Cancer-Specific Survival of Muscle-Invasive Bladder Cancer Patients after Partial Cystectomy

Purpose To establish a prognostic model that estimates cancer-specific survival (CSS) probability for muscle-invasive bladder cancer patients undergoing partial cystectomy. Patients and Methods. 866 patients from the Surveillance, Epidemiology, and End Results (SEER) database (2004–2015) were enrolled in our study. These patients were randomly divided into the development cohort (n = 608) and validation cohort (n = 258) at a ratio of 7 : 3. A Cox regression was performed to select the predictors associated with CSS. The Kaplan–Meier method was used to analyze the survival outcome between different risk groups. The calibration curves, receiver operating characteristic (ROC) curves, and the concordance index (C-index) were utilized to evaluate the performance of the model. Results The nomogram incorporated age, histology, T stage, N stage, M stage, regional nodes examined, and tumour size. The C-index of the model was 0.733 (0.696–0.77) in the development cohort, while this value was 0.707 (0.705–0.709) in the validation cohort. The AUC of the nomogram was 0.802 for 1-year, 0.769 for 3-year, and 0.799 for 5-year, respectively, in the development cohort, and was 0.731 for 1-year, 0.748 for 3-year, and 0.752 for 5-year, respectively, in the validation cohort. The calibration curves for 1-year, 3-year, and 5-year CSS showed great concordance. Significant differences were observed between high, medium, and low risk groups (P < 0.001). Conclusions We have constructed a highly discriminative and precise nomogram and a corresponding risk classification system to predict the cancer-specific survival for muscle-invasive bladder cancer patients undergoing partial cystectomy. The model can assist in the decision on choice of treatment, patient counselling, and follow-up scheduling.