Miracle-dz/UniFAR-FTUs huggingface dataset:
Unraveling the genetic diversity and structure of Quercus liaotungensis population through analysis of microsatellite markers

Background Quercus liaotungensis Koidz. is an ecologically and economically important tree species widely distributed in Northern China. However, the effective assessment, utilization, and protection of Q. liaotungensis resources remain unexplored. Methods In total, 120 samples obtained from 12 Q. liaotungensis populations of Northern China were investigated for genetic diversity and structure using 19 simple sequence repeat (SSR) primer pairs. Results The total number of alleles detected was 293, the average number of effective allele (Ne) was 6.084, the genetic differentiation coefficient (Fst) was 0.033, and the mean observed heterozygosity (Ho) and expected heterozygosity (He) were 0.690 and 0.801, respectively. Moreover, analysis of molecular variance (AMOVA) showed a 5.5% genetic variation among 12 Q. liaotungensis populations, indicating that a high level of genetic diversity and a low degree of genetic differentiation among Q. liaotungensis populations. STRUCTURE and cluster analysis divided the 12 Q. liaotungensis populations into the following three subpopulations: Bashang Plateau subpopulation (SH), Liaodong Peninsula subpopulation (NC), and Loess Plateau subpopulation (other 10 populations). The cluster analysis based on 19 climatic factors was consistent with the genetic structure. A positive correlation was found between genetic distance and geographical distance (r = 0.638, p = 0.028) by the Mantel test, and two boundaries were found among the 12 Q. liaotungensis populations by the Barrier analysis, indicating that Q. liaotungensis populations existed isolated by geographical distance and physical barrier. Conclusion This study suggests that geographical isolation, physical barrier, climatic types, and natural hybridization promote the formation of genetic structures, which can contribute to future protection and genetic improvement of Q. liaotungensis.
Salivary Protein Profile and Food Intake: A Dietary Pattern Analysis

Saliva research has gained interest due to its potential as a source of biomarkers. One of the factors inducing changes in saliva, in the short term, is food intake, and evidence exist about changes in salivary proteome induced by some food components. Since this topic of research is in its early stages, it was hypothesized that saliva protein composition could be associated with different levels of adherence to dietary patterns that contain higher amounts of plant products. The aim of the present study was to test this hypothesis, in adults, by comparing salivary protein electrophoretic profiles of individuals with different diet characteristics, particularly dietary patterns (DP) that exhibit different proportions of animal and plant-based products. Dietary habits were assessed in 122 adults (61 from each sex, with ages ranging from 20 to 59 years) using Food Frequency Questionnaires. To identify the dietary patterns, a principal component analysis was used. Individual's non-stimulated saliva was evaluated for flow rate, pH, protein concentration, α-amylase activity, and electrophoretic protein profiles. Seven dietary patterns (DP) were identified. Salivary amylase enzymatic activity was positively associated with animal-based and starchy foods DP, and with plant-based fatty foods without wine DP. At the same time, protein bands containing amylase and type S cystatins were positively associated with the cheese/yoghurt and wine DP. Our results support the association of salivary proteomics and different dietary patterns and highlight the need of considering food consumption habits in studies using saliva, since this is a factor associated with variations in the composition of this fluid.
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning

Information gathering has become an integral part of assessing people’s behaviors and actions. The Internet is used as an online learning site for sharing and exchanging ideas. People can actively give their reviews and recommendations for variety of products and services using popular social sites and personal blogs. Social networking sites, including Twitter, Facebook, and Google+, are examples of the sites used to share opinion. The stock market (SM) is an essential area of the economy and plays a significant role in trade and industry development. Predicting SM movements is a well-known and area of interest to researchers. Social networking perfectly reflects the public’s views of current affairs. Financial news stories are thought to have an impact on the return of stock trend prices and many data mining techniques are used address fluctuations in the SM. Machine learning can provide a more accurate and robust approach to handle SM-related predictions. We sought to identify how movements in a company’s stock prices correlate with the expressed opinions (sentiments) of the public about that company. We designed and implemented a stock price prediction accuracy tool considering public sentiment apart from other parameters. The proposed algorithm considers public sentiment, opinions, news and historical stock prices to forecast future stock prices. Our experiments were performed using machine-learning and deep-learning methods including Support Vector Machine, MNB classifier, linear regression, Naïve Bayes and Long Short-Term Memory. Our results validate the success of the proposed methodology.
The Updated Role of Ultrasound in Assessing Dermatological Manifestations in Systemic Sclerosis

Abstract Systemic sclerosis (SSc), an autoimmune connective tissue disease, characterized by skin fibrosis, increased dermal thickness and microvascular involvement. Fibroblasts and myofibroblasts deposit excessive amounts of collagenous and non-collagenous extracellular matrix components in the skin. This leads to microvascular abnormalities and Raynaud’s phenomenon, with painful digital ulcers (DU) at the fingertips adding to patient discomfort. The skin involvement and severity in SSc was evaluated by the Modified Rodnan skin score (mRSS). Although high-frequency ultrasound (HUS) has been widely researched in the study of skin thickness and DU in SSc, its adoption into clinical practice is not yet common. However, novel insights into the still relatively unknown disease pathogenesis in SSc and its evaluation may be provided by HUS, including early (pre-clinical) skin involvement. It may also be useful in both the evaluation and follow-up of DU. Indeed, it is a non-invasive, safe, inexpensive and reproducible method able to assess not only SSc patients’ cutaneous structural changes, but also their vascular system changes. Moreover, several recent studies have reported that elastosonography (ES) is of use when investigating skin involvement in systemic sclerosis. This review aims at providing information as to role HUS and ES play in research advancements and the clinical perspectives in the evaluation of skin thickness and DU in SSc patients.
Attending to Methodological Challenges in Qualitative Research to Foster Participation of Individuals with Chronic Critical Illness and Communication Impairments

Individuals with chronic critical illness experience multiple complex physiological disturbances including ongoing respiratory failure, requiring prolonged mechanical ventilation, and thus communication impairments. In conducting a qualitative interpretive description study, we sought to ensure that individuals with chronic critical illness themselves were included as participants. Our commitment to recruiting these individuals to the study and ensuring their data meaningfully informed the analysis and findings required us to reconsider and challenge some of the traditional notions of high-quality qualitative research and develop appropriate practical strategies. These strategies included: (1) centering participant abilities and preferences, (2) adopting a flexible approach to conducting interviews, (3) engaging in a therapeutic relationship, and (4) valuing “thin” data. In this article, we extend existing literature describing the complexities of conducting research with individuals with communication impairments and strategies to consider in the hopes of informing future research with other populations historically excluded from study participation.
Initiation of L-DOPA Treatment After Detection of Diabetes-Induced Retinal Dysfunction Reverses Retinopathy and Provides Neuroprotection in Rats

Purpose L-DOPA treatment initiated at the start of hyperglycemia preserves retinal and visual function in diabetic rats. Here, we investigated a more clinically relevant treatment strategy in which retinal and visual dysfunction designated the beginning of the therapeutic window for L-DOPA treatment. Methods Spatial frequency thresholds using optomotor response and oscillatory potential (OP) delays using electroretinograms were compared at baseline, 3, 6, and 10 weeks after streptozotocin (STZ) between diabetic and control rats. L-DOPA/carbidopa treatment (DOPA) or vehicle was delivered orally 5 days per week beginning at 3 weeks after STZ, when significant retinal and visual deficits were measured. At 10 weeks after STZ, retinas were collected to measure L-DOPA, dopamine, and 3,4-dihydroxyphenylacetic acid (DOPAC) levels using high-performance liquid chromatography. Results Spatial frequency thresholds decreased at 6 weeks in diabetic vehicle rats (28%), whereas diabetic DOPA rats had stable thresholds (<1%) that maintained to 10 weeks, creating significantly higher thresholds compared with diabetic vehicle rats (P < 0.0001). OP2 implicit times in response to dim, rod-driven stimuli were decreased in diabetic compared with control rats (3 weeks, P < 0.0001; 10 weeks, P < 0.01). With L-DOPA treatment, OP2 implicit times recovered in diabetic rats to be indistinguishable from control rats by 10 weeks after STZ. Rats treated with L-DOPA showed significantly increased retinal L-DOPA (P < 0.001) and dopamine levels (P < 0.05). Conclusions L-DOPA treatment started after the detection of retinal and visual dysfunction showed protective effects in diabetic rats. Translational Relevance Early retinal functional deficits induced by diabetes can be used to identify an earlier therapeutic window for L-DOPA treatment which protects from further vision loss and restores retinal function.
Clinical Features and Outcomes of ICU Patients with COVID-19 Infection in Tehran, Iran: a Single-Centered Retrospective Cohort Study

Background: The clinical characteristics of the novel coronavirus disease (COVID-19) were diverse and unspecific. Here, we identified the associated factors with surviving of COVID-19 ICU patients based on the clinical characteristics of patients admitted to one of the Corona Centre Hospitals of Iran. Materials and Methods: This cohort study was performed retrospectively from February to June 2020 on 133 COVID-19 patients admitted to 4 intensive care units of Masih Daneshvari Hospital in Tehran, Iran. Demographic, medical, clinical manifestation at admission, laboratory parameters and outcome data were obtained from medical records. Also the SOFA and APACHE II scores were calculated. All data were analyzed using SPSS (version 23, IBM Corp.) software. Results: The median (IQR) age of the patients was 62.0 (54.0–72.0) years in total. RT-PCR of throat swab SARS-CoV-2 in 80 patients (60.2%) was positive. Total mortality rate was 57.9 percent (77 patients). Dyspnea, hypertension and chronic pulmonary diseases were significantly common in non-survivors than survivors (p<0.05). Both SOFA and APACHE II scores were significantly higher in the non-survivors (p<0.05). Also other significant differences were observed in other parameters of the study. Conclusion: The mortality rate of COVID-19 patients admitted to ICU is generally high. Dyspnea as initial presentation and comorbidity, especially hypertension and pulmonary diseases, may be associated with higher risk of severe disease and consequent mortality rate. Also, higher SOFA and APACHE II scores could indicate higher mortality in patients admitted to ICU.
Spoilage of fruit juices by Alicyclobacillus acidoterrestris : Alicyclobacillus in the food industry

Alicyclobacillus acidoterrestris are sporeforming organisms that survive a typical thermal process given to acid products such as fruit juices. In the USA, spoilage has been observed mainly in apple juice, but also in pear juice, orange juice, juice blends and canned diced tomatoes. Spoilage is manifested as an off-odour and flavour, due to the production of 2-methoxyphenol (guaiacol), and a light sediment. The microorganisms are not pathogenic, based on a mouse bioassay, guinea pig feeding trial and anecdotal reports of consumption of contaminated juice. Spoilage potential of juice was affected mainly by °Brix, storage temperature, juice type and spore load. Under ideal conditions, low levels of spores (approximately 1 spore per 10 mL of juice) were sufficient to cause spoilage in apple and white grape juice.
Antigen tests for COVID-19

PCR diagnosis has been considered as the gold standard for coronavirus disease 2019 (COVID-19) and other many diseases. However, there are many problems in using PCR, such as non-specific (i.e., false-positive) and false-negative amplifications, the limits of a target sample volume, deactivation of the enzymes used, complicated techniques, difficulty in designing probe sequences, and the expense. We, thus, need an alternative to PCR, for example an ultrasensitive antigen test. In the present review, we summarize the following three topics. (1) The problems of PCR are outlined. (2) The antigen tests are surveyed in the literature that was published in 2020, and their pros and cons are discussed for commercially available antigen tests. (3) Our own antigen test on the basis of an ultrasensitive enzyme-linked immunosorbent assay (ELISA) is introduced. Finally, we discuss the possibility that our antigen test by an ultrasensitive ELISA technique will become the gold standard for diagnosis of COVID-19 and other diseases.
Association Between Caregivers’ Burden and Neuropsychiatric Symptoms in Female Patients with Alzheimer’s Disease with Varying Dementia Severity

Purpose This study examined the attributes causing higher burdens for caregivers caring for female patients with Alzheimer’s disease by analyzing a combination of various variables, including demographic data, dementia severity, and neuropsychiatric symptoms. Patients and Methods This study included 99 female patients with Alzheimer’s disease who were cared for by the dementia collaborative care team at Changhua Christian Hospital, Taiwan. Neuropsychiatric symptoms used in this study included affections (9 types), behavior symptoms (9 symptoms), and psychological symptoms (3 symptoms). The Apriori algorithm was employed to identify association rules that reveal the relationships among demographic data, dementia severity, neuropsychiatric symptoms, and caregivers’ burden. Results A total of 185 rules were determined, including 51 rules with little or no burden, 108 rules with mild to moderate burden, and 26 rules with moderate to severe burden. The major findings are as follows. Neuropsychiatric symptoms were associated with varying degrees of caregivers’ burden among female patients aged 75 to 84 years with mild dementia. Crying spells and aggression were specifically associated with a moderate to severe burden. Delusion was associated with a mild to moderate and moderate to severe burden. Dysthymia and depression were associated with little or no burden to moderate to severe burden. Conclusion Clinicians can provide early interventions to reduce the burden of caregivers caring for female patients with Alzheimer’s disease and can refer caregivers for timely assistance to reduce their burden.
IL-9 and IL-10 Single-Nucleotide Variants and Serum Levels in Age-Related Macular Degeneration in the Caucasian Population

Considering the immunological impairment in age-related macular degeneration (AMD), we aimed to determine the associations of IL-9 rs1859430, rs2069870, rs11741137, rs2069885, and rs2069884 and IL-10 rs1800871, rs1800872, and rs1800896 polymorphisms and their haplotypes, as well as the serum levels of IL-9 and IL-10 with AMD. 1209 participants were enrolled in our study. SNPs were genotyped using TaqMan SNP genotyping assays by real-time PCR method. IL-9 and IL-10 serum levels were evaluated using ELISA kits. Our study results have shown that haplotypes A-G-C-G-G and G-A-T-A-T of IL-9 SNPs are associated with the decreased odds of early AMD occurrence (p = 0.035 and p = 0.015, respectively). A set of rare haplotypes was associated with the decreased odds of exudative AMD occurrence (p = 0.033). Also, IL-10 serum levels were lower in exudative AMD than in controls (p = 0.049), patients with early AMD (p = 0.017), and atrophic AMD (p = 0.008). Furthermore, exudative AMD patients with IL-10 rs1800896 CT and TT genotypes had lower IL-10 serum concentrations than those with wild-type (CC) genotype (p = 0.048). In conclusion, our study suggests that IL-10 serum levels can be associated with a minor allele at IL-10 rs1800896 and exudative AMD. The haplotypes of IL-9 SNPs were also associated with the decreased odds of early and exudative AMD.
Going Online in Pandemic Time: A DivulgaMicro Workshop Experience†

DivulgaMicro is a Brazilian Science Communication and Outreach project run by three young female scientists. In 2020, due to the COVID-19 pandemic, we promoted the first virtual edition of the DivulgaMicro Workshop. ABSTRACT DivulgaMicro is a Brazilian Science Communication and Outreach project run by three young female scientists. In 2020, due to the COVID-19 pandemic, we promoted the first virtual edition of the DivulgaMicro Workshop. Here, we describe adaptations implemented to deliver the virtual edition, and its assessment by the participants. We offered a 3-day workshop addressing manuscript writing and publishing, poster design and oral presentations, and strategies for effectively communicating with the lay public, on the first, second, and third days, respectively. Each daily session was divided into short lectures and active learning through interactive and cooperative activities. We applied pre- and postsession surveys daily to assess participants’ learning and an opinion questionnaire at the end of the workshop. We selected 50 of 221 applicants, but only 38 participants took the course. Correct answers were significantly higher (P < 0.01) in the post-session surveys each day. Most of the 34 participants who answered the opinion questionnaire (97%) would recommend the workshop to their colleagues. Participants stated the workshop content was transmitted clearly and straightforwardly and considered the online format suitable for knowledge acquisition. Participants were satisfied with the organization, dynamics, and interactivity. Topics addressed on the third (61.8%) and first days (23.5%) were most liked and were considered most useful in the participants’ careers. We believe that the overall success of the workshop is due to the combination of short lectures with active learning activities, the use of virtual platforms that enabled effective communication between participants and instructors, and the support of our collaborators.
The Association Between Sarcopenic Obesity and Hypertension, Diabetes, and Abnormal Lipid Metabolism in Chinese Adults

Objective Sarcopenic obesity is associated with several negative health outcomes. However, there are only a few studies on the relationship between SO and metabolic diseases such as diabetes, hypertension, and abnormal lipid metabolism in Chinese adults. The aim of this work was to evaluate the association between SO and hypertension, diabetes, and abnormal lipid metabolism in Chinese adults, and explore the prediction of SO using relevant anthropometric indicators. Materials and Methods All participants underwent a questionnaire interview for the collection of demographic data. Thereafter, they underwent physical examination for the measurement of anthropometric variables, which was performed using bioelectrical impedance analysis. Biochemical measurements were determined according to standard laboratory procedures used for the evaluation of blood parameters. Results We included 14,926 patients aged 35–74 years old. The mean age of the participants was 56.75 ± 9.76 years old, and 39.80% of them were male. The mean body mass index (BMI) was 24.94 ± 3.40 kg/m2, and the overall prevalence of SO was 65.1%. The results showed that shorter people; people with faster heart rate; heavier weight; lower waist circumference (WC), BMI, triglyceride level, total cholesterol, and low-density lipoprotein cholesterol levels; and higher high-density lipoprotein cholesterol level are at risk for SO. Conclusion The prevalence of SO is high (65.1%) in Chinese adults aged 35–74 years old. The occurrence of SO is related to hypertension, diabetes, and abnormal lipid metabolism. BMI, WC, and waist-hip ratio may be predictive indicators of SO. The incidence of SO may be reduced by timely intervention and health education for persons at risk of the condition.
Ge-Gen-Jiao-Tai-Wan Affects Type 2 Diabetic Rats by Regulating Gut Microbiota and Primary Bile Acids

The Ge-Gen-Jiao-Tai-Wan (GGJTW) formula has been used to treat type 2 diabetes mellitus (T2DM) in China for a long time. Our previous study has proved that GGJTW could alleviate the type 2 diabetic symptoms, but the underlying mechanisms are still unclear. This study aimed to investigate the changes in gut microbiota and primary bile acids (PBAs) to determine the potential mechanisms of GGJTW in treating T2DM.The fecal transplant method and pseudogerm-free rats were used in our study.The16S rRNA gene sequencing method was used to analyze the changes in the intestinal flora, and PBAs in the colon contents were detected. Finally, the expression of farnesoid X receptor (FXR), G protein-coupled membrane receptor 5 (TGR5), and glucagon-like peptide-1 (GLP-1) was assessed. Following GGJTW treatment, we observed a decrease in blood glucose levels and improvements in glucose tolerance and serum lipid levels. Furthermore, we found that GGJTW could regulate the composition of the gut microbiota and upregulate the diabetic beneficial phylum Firmicutes and bile-acid-related genus Lactobacillus. PBAs in the colon contents were increased in the GGJTW-treated group, accompanied by upregulated expression of the bile acid receptors FXR and TGR5 and increased concentrations of GLP-1. These results indicated that GGJTW could alleviate symptoms of type 2 diabetic rats by regulating the gut microbiota, promoting the production of PBAs, and upregulating the PBA-FXR/TGR5-GLP-1 pathway.