Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Household Cleaning Methods for Reducing Chlorantraniliprole Residues on Cowpea Fruits

All pesticide residues are toxic by design and pose seriously health dangers to people. We explored an effective cleaning technique of food safety and handling guidelines. Chlorantraniliprole residues on cowpea fruits were determined by LC-MS/MS (liquid chromatography-tandem mass spectrometry) after different cleaning methods. Both soaking the cowpea fruits in water for 15 min and soaking in 0.1% edible vinegar for 15 min followed by rinsing with running tap water for 2 min could effectively remove the chlorantraniliprole residues on cowpea fruits. Cleaning with running tap water for 2 min was the worst cleaning method. Both the treatments of soaking in acidic and neutral pH cleaning solution could generate good removal efficiency of chlorantraniliprole residues on cowpea. Different cleaning solution concentration did not give significant difference removal efficiency. Our research provided the inherent relationship between pesticide residues and cleaning approaches, also the important theoretical basis for risk assessments of food.
Use of Technology-Based Interventions in the Treatment of Patients with Overweight and Obesity: A Systematic Review

Introduction: Obesity is one of the most important health problems worldwide. The prevalence of obesity has increased dramatically in the last decades and is now recognized as a global epidemic. Given the dramatic consequences of obesity, new intervention approaches based on the potential of technologies have been developed. Methods: We conducted a systematic review of studies using PubMed, ScienceDirect, Cochrane Library, and MedLine databases to assess how different types of technologies may play an important role on weight loss in obese patients. Results: Forty-seven studies using different types of technologies including smartphones, app, websites, virtual reality and personal digital assistant were included in the review. About half of interventions (47%) found a significant effect of the technology-based interventions for weight lost in obese patients. The provision of feedback could also be effective as a complement to interventions carried out using technology to promote weight loss. Conclusions: The use of technologies can be effective to increase weight loss in patients with obesity improving treatment adherence through self-monitoring.
Myths about Sexual Aggression, Sexual Assertiveness and Sexual Violence in Adolescent Romantic Relationships

Sexual violence is a worldwide health and social issue. However, little is known about the sexual violence that occurs in the context of romantic relationships. This study analyzes the existence of sexual violence in adolescents’ romantic relationships, the possible associations between such violence (both committed and suffered) and myths about sexual aggression and sexual assertiveness, and the possible gender-related distinctions. A sample of 329 students aged between 15 and 19 (M = 16.3; SD = 0.79) was surveyed; all participants were in a romantic relationship when the data were collected. The results reveal that both genders report the existence of sexual violence in their romantic relationships; however, in heterosexual relationships, males were more often the perpetrators of sexual violence. Additionally, myths about sexual aggression and sexual assertiveness were found to be significantly associated with both perpetration and victimization. Accordingly, these predictors should be focal points in prevention programs for adolescent sexual violence. The findings of this study show the de-prioritization of sexuality education in the Spanish educational system, as well as the need to strengthen the competence of adolescents in this area.
The strength of association between psychological factors and clinical outcome in tendinopathy: A systematic review

Objective Tendinopathy is often a disabling, and persistent musculoskeletal disorder. Psychological factors appear to play a role in the perpetuation of symptoms and influence recovery in musculoskeletal pain. To date, the impact of psychological factors on clinical outcome in tendinopathy remains unclear. Therefore, the purpose of this systematic review was to investigate the strength of association between psychological factors and clinical outcome in tendinopathy. Methods A systematic review of the literature and qualitative synthesis of published trials was conducted. Electronic searches of ovid MEDLINE, ovid EMBASE, PsychINFO, CINAHL and Cochrane Library was undertaken from their inception to June 2020. Eligibility criteria included RCT’s and studies of observational design incorporating measurements of psychological factors and pain, disability and physical functional outcomes in people with tendinopathy. Risk of Bias was assessed by two authors using a modified version of the Newcastle Ottawa Scale. High or low certainty evidence was examined using the GRADE criteria. Results Ten studies of observational design (6-cross sectional and 4 prospective studies), involving a sample of 719 participants with tendinopathy were included. Risk of bias for the included studies ranged from 12/21 to 21/21. Cross-sectional studies of low to very low level of certainty evidence revealed significant weak to moderate strength of association (r = 0.24 to 0.53) between psychological factors and clinical outcomes. Prospective baseline data of very low certainty evidence showed weak strength of association between psychological factors and clinical outcome. However, prospective studies were inconsistent in showing a predictive relationship between baseline psychological factors on long-term outcome. Cross sectional studies report similar strengths of association between psychological factors and clinical outcomes in tendinopathy to those found in other musculoskeletal conditions. Conclusion The overall body of the evidence after applying the GRADE criteria was low to very low certainty evidence, due to risk of bias, imprecision and indirectness found across included studies. Future, high quality longitudinal cohort studies are required to investigate the predictive value of baseline psychological factors on long-term clinical outcome.
Data-Driven Dietary Patterns and Diet Quality Scores: Reproducibility and Consistency in Sex and Age Subgroups of Poles Aged 15–65 Years

This study aimed to assess: (i) the test–retest reproducibility of identification of data-driven dietary patterns (DPs) derived using a Principal Component Analysis (PCA) and hypothesis-driven DPs (diet quality scores); (ii) the consistency of data-driven DPs with diet quality scores in sex and age subgroups of Poles aged 15–65 years. The study involved 504 subjects (55.6% of females). Data on food consumption frequency (33 food items) were collected twice with a two-week interval using the Dietary Habits and Nutrition Beliefs Questionnaire (KomPAN®) in a self-administered version (test and retest). Two major data-driven DPs (‘Prudent’ and ‘Western’) were identified in the total sample, sex groups and four age groups separately from test and retest data. Two diet quality scores were analysed: Pro-Healthy-Diet-Index-10 (pHDI-10) and Non-Healthy-Diet-Index-14 (nHDI-14). Tucker’s congruence coefficient indicated fair-to-good similarity of data-driven DPs between test and retest for all study subgroups, except for males. Across study subgroups, the intraclass correlation coefficient (ICC) between the test and retest ranged from 0.56 to 0.86 for ‘Prudent’ DP and 0.57 to 0.82 for ‘Western’ DP, with the lowest values in males. The ICC (test vs. retest) ranged from 0.84 to 0.88 for pHDI-10 and 0.75 to 0.88 for nHDI-14. Comparing the data-driven DPs and diet quality scores, the Spearman’s correlations ranged from 0.63 to 0.93 between ‘Prudent’ DP and pHDI-10, and from 0.60 to 0.81 between ‘Western’ DP and nHDI-14. The test–retest reproducibility of data-driven DPs and diet quality scores and their consistency were acceptable in most of the study subgroups, with a tendency to be higher for pro-health than unhealthy DPs. Data-driven DPs were more reproducible in females than males. The reproducibility of diet quality scores tended to be better in males than females and was the highest in 25–44-year-olds. The KomPAN® questionnaire can be recommended to use data-driven DPs and diet quality scores to describe the habitual diet in people aged 15–65 years.
A single-center long-term experience of active surveillance for prostate cancer: 15 years of follow-up

Purpose To describe a single-center 15-year experience of active surveillance (AS) for prostate cancer (PCa). Materials and Methods We retrospectively reviewed patients who underwent AS between 2003 and 2018. One hundred fifty-three patients were selected according to the following criteria: (1) biopsy Gleason pattern ≤3+4 with (2) ≤two positive core(s) and (3) ≤50% core involvement, clinical-stage ≤T2a, and prostate-specific antigen (PSA) ≤20 ng/mL. Follow-up included PSA measurement every six months, prostate biopsies at one year and then every 2–3 years, and MRI every year. Intervention was triggered by (1) Gleason score (GS) upgrading, (2) >two positive cores, or (3) PSA doubling-time in <3 years. Results Mean (±standard deviation) follow-up was 36.4 (±31.9) months. Ninety-three (60.8%) and 20 (13.1%) patients received second and third biopsies, respectively. Seventy-two patients (47.1%) discontinued AS for various reasons (59, intervention; 13, follow-up loss). Reasons for intervention consisted of GS upgrading (42.4%), >two positive cores (8.5%), abnormal PSA kinetics (11.9%), and patient preference (37.3%). Notably, 12 (25.5%) patients had pathologic GS ≥4+3 (unfavorable disease) and 3 (6.4%) patients had pathologic stage ≥T3a at radical prostatectomy. Median time to treatment-free survival was 19.5 months. Of the 59 patients who switched to intervention, biochemical recurrence was reported in only one (0.7%) patient. Conclusions AS is an available option for low-risk PCa in carefully selected patients. Further larger prospective studies are needed to determine the optimal criteria for AS, especially in Korean PCa patients.
Tetracyclic and Pentacyclic Triterpenes with High Therapeutic Efficiency in Wound Healing Approaches

Wounds are among the most common skin conditions, displaying a large etiological diversity and being characterized by different degrees of severity. Wound healing is a complex process that involves multiple steps such as inflammation, proliferation and maturation and ends with scar formation. Since ancient times, a widely used option for treating skin wounds are plant- based treatments which currently have become the subject of modern pharmaceutical formulations. Triterpenes with tetracyclic and pentacyclic structure are extensively studied for their implication in wound healing as well as to determine their molecular mechanisms of action. The current review aims to summarize the main results of in vitro, in vivo and clinical studies conducted on lupane, ursane, oleanane, dammarane, lanostane and cycloartane type triterpenes as potential wound healing treatments.
Insulin-like growth factor binding protein 7 as a candidate biomarker for systemic sclerosis.

OBJECTIVES Systemic sclerosis (SSc) is an autoimmune disease clinically characterised by skin and internal organs fibrosis with high mortality. However, the pathogenesis of SSc is still controversial and the effect of the current treatment is far from satisfactory. We aimed to find out novel candidate genes related to the pathological process in SSc. METHODS In this study, the weighted correlation network analysis (WGCNA) was conducted to identify the key module and hub genes most related to SSc in GSE58095, a microarray dataset from the Gene Expression Omnibus (GEO) database. Also, the key module was analysed by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Then we validated hub genes in other datasets (GSE32413, GSE125362, GSE45485, GSE76885, GSE95065). The serum of 37 patients with SSc and 25 healthy control subjects (HCs) were recruited and detected by Enzyme-Linked Immunosorbent Assay (ELISA). RESULTS Five interested genes (IGFBP7, LRRC32, STMN2, C1QTNF5, CPXM1) were up-regulated in SSc microarray datasets from the GEO. And the level of serum IGFBP7, which encodes a secreted protein, was upregulated in SSc patients-also in dcSSc patients and SSc with ILD patients. CONCLUSIONS Among the five interested genes, the IGFBP7 was a novel candidate gene for SSc and may be served as potential target and early biomarker for accurate treatment, which also provides further insights into the pathogenesis of SSc at the molecular level.
COX-2 Is Downregulated in Human Stenotic Aortic Valves and Its Inhibition Promotes Dystrophic Calcification

Calcific aortic valve disease (CAVD) is the result of maladaptive fibrocalcific processes leading to a progressive thickening and stiffening of aortic valve (AV) leaflets. CAVD is the most common cause of aortic stenosis (AS). At present, there is no effective pharmacotherapy in reducing CAVD progression; when CAVD becomes symptomatic it can only be treated with valve replacement. Inflammation has a key role in AV pathological remodeling; hence, anti-inflammatory therapy has been proposed as a strategy to prevent CAVD. Cyclooxygenase 2 (COX-2) is a key mediator of the inflammation and it is the target of widely used anti-inflammatory drugs. COX-2-inhibitor celecoxib was initially shown to reduce AV calcification in a murine model. However, in contrast to these findings, a recent retrospective clinical analysis found an association between AS and celecoxib use. In the present study, we investigated whether variations in COX-2 expression levels in human AVs may be linked to CAVD. We extracted total RNA from surgically explanted AVs from patients without CAVD or with CAVD. We found that COX-2 mRNA was higher in non-calcific AVs compared to calcific AVs (0.013 ± 0.002 vs. 0.006 ± 0.0004; p < 0.0001). Moreover, we isolated human aortic valve interstitial cells (AVICs) from AVs and found that COX-2 expression is decreased in AVICs from calcific valves compared to AVICs from non-calcific AVs. Furthermore, we observed that COX-2 inhibition with celecoxib induces AVICs trans-differentiation towards a myofibroblast phenotype, and increases the levels of TGF-β-induced apoptosis, both processes able to promote the formation of calcific nodules. We conclude that reduced COX-2 expression is a characteristic of human AVICs prone to calcification and that COX-2 inhibition may promote aortic valve calcification. Our findings support the notion that celecoxib may facilitate CAVD progression.
The Arabidopsis leucine-rich repeat receptor-like kinase MIK2 is a crucial component of early immune responses to a fungal-derived elicitor.

Fusarium spp. cause severe economic damage in many crops, exemplified by Panama Disease of banana or Fusarium head blight of wheat. Plants sense immunogenic patterns (termed elicitors) at the cell surface to initiate pattern-triggered immunity (PTI). Knowledge of fungal elicitors and corresponding plant immune-signaling is incomplete but could yield valuable sources of resistance. We characterized Arabidopsis thaliana PTI responses to a peptide elicitor fraction present in several Fusarium spp. and employed a forward-genetic screen using plants containing a cytosolic calcium reporter to isolate fusarium elicitor reduced elicitation (fere) mutants. We mapped the causal mutation in fere1 to the leucine-rich repeat receptor-like kinase MDIS1-INTERACTING RECEPTOR-LIKE KINASE 2 (MIK2) and confirmed a crucial role of MIK2 in fungal elicitor perception. MIK2-dependent elicitor responses depend on known signaling components and transfer of AtMIK2 is sufficient to confer elicitor sensitivity to Nicotiana benthamiana. Arabidopsis senses Fusarium elicitors by a novel receptor complex at the cell surface that feeds into common PTI pathways. These data increase mechanistic understanding of PTI to Fusarium and place MIK2 at a central position in Arabidopsis elicitor responses.
Silencing of ATP synthase β reduces phytoplasma multiplication in the leafhopper vector Euscelidius variegatus

The leafhopper Euscelidius variegatus is a natural vector of the chrysanthemum yellows phytoplasma (CYp) and a laboratory vector of the Flavescence dorée phytoplasma (FDp). Previous studies indicated a crucial role for insect ATP synthase α and β subunits during phytoplasma infection of the vector species. Gene silencing of ATP synthase β was obtained by injection of specific dsRNAs in E. variegatus. Here we present the systemic and long-lasting nature of such silencing, its effects on the small RNA profile, the significant reduction of the corresponding protein expression, and the impact on phytoplasma acquisition capability. The specific transcript expression was silenced at least up to 37 days post injection with an average reduction of 100 times in insects injected with dsRNAs targeting ATP synthase β (dsATP) compared with those injected with dsRNAs targeting green fluorescent protein (dsGFP), used as negative controls. Insects injected either with dsATP or dsGFP successfully acquired CYp and FDp during feeding on infected plants. However, the average phytoplasma amount in dsATP insects was significantly lower than that measured in dsGFP specimens, indicating a probable reduction of the pathogen multiplication rate when ATP synthase β was silenced. The role of the insect ATP synthase β during phytoplasma infection process is discussed.
Social Network Analysis of Intensive Care Unit Health Care Professionals Measured by Wearable Sociometric Badges: Longitudinal Observational Study

Background Use of wearable sensor technology for studying human teamwork behavior is expected to generate a better understanding of the interprofessional interactions between health care professionals. Objective We used wearable sociometric sensor badges to study how intensive care unit (ICU) health care professionals interact and are socially connected. Methods We studied the face-to-face interaction data of 76 healthcare professionals in the ICU at Mie University Hospital collected over 4 weeks via wearable sensors. Results We detail the spatiotemporal distributions of staff members’ inter- and intraprofessional active face-to-face interactions, thereby generating a comprehensive visualization of who met whom, when, where, and for how long in the ICU. Social network analysis of these active interactions, concomitant with centrality measurements, revealed that nurses constitute the core members of the network, while doctors remain in the periphery. Conclusions Our social network analysis using the comprehensive ICU interaction data obtained by wearable sensors has revealed the leading roles played by nurses within the professional communication network.
Fabrication of Screen Printing-Based AgNWs Flexible Transparent Conductive Film with High Stability

Flexible transparent conductive thin films (TCFs) prepared from Silver nanowires (AgNWs) have attractive features of low cost, flexibility, and solution-processed, but the usual manufacturing methods could still be hard to be scaled up. In addition, large-scale/large-area fabrication process with industrialized potential is strongly needed. In this paper, the flexible TCFs with high stability are obtained via using screen printing method to print the AgNWs inks on a flexible and transparent substrate. The micro-structure of the AgNWs patterns is investigated by optical microscope and scanning electron microscope. Furthermore, the sheet resistance, light transmittance, and film thickness of the AgNWs patterns prepared under different conditions are characterized to explore the influence of different factors on its optical and electrical properties.
The Effect of Chrysin-Loaded Phytosomes on Insulin Resistance and Blood Sugar Control in Type 2 Diabetic db/db Mice

Although a variety of beneficial health effects of natural flavonoids, including chrysin, has been suggested, poor solubility and bioavailability limit their practical use. As a promising delivery system, chrysin-loaded phytosomes (CPs) were prepared using egg phospholipid (EPL) at a 1:3 molar ratio and its antidiabetic effects were assessed in db/db diabetic mice. Male C57BLKS/J-db/db mice were fed a normal diet (control), chrysin diet (100 mg chrysin/kg), CP diet (100 mg chrysin equivalent/kg), metformin diet (200 mg/kg) or EPL diet (vehicle, the same amount of EPL used for CP preparation) for 9 weeks. Administration of CP significantly decreased fasting blood glucose and insulin levels in db/db mice compared with the control. An oral glucose tolerance test and homeostatic model assessment for insulin resistance were significantly improved in the CP group (p < 0.05). CP treatment suppressed gluconeogenesis via downregulation of phosphoenolpyruvate carboxykinase while it promoted glucose uptake in the skeletal muscle and liver of db/db mice (p < 0.05). The CP-mediated improved glucose utilization in the muscle was confirmed by upregulation of glucose transporter type 4, hexokinase2 and peroxisome proliferator-activated receptor γ during treatment (p < 0.05). The CP-induced promotion of GLUT4 plasma translocation was confirmed in the skeletal muscle of db/db mice (p < 0.05). Based on the results, CP showed greater antidiabetic performance compared to the control by ameliorating insulin resistance in db/db mice and phytosome can be used as an effective antidiabetic agent.
Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

Simple Summary Artificial intelligence (AI) technology has been advancing rapidly in recent years and is being implemented in society. The medical field is no exception, and the clinical implementation of AI-equipped medical devices is steadily progressing. In particular, AI is expected to play an important role in realizing the current global trend of precision medicine. In this review, we introduce the history of AI as well as the state of the art of medical AI, focusing on the field of oncology. We also describe the current status of the use of AI for drug discovery in the oncology field. Furthermore, while AI has great potential, there are still many issues that need to be resolved; therefore, we would provide details on current medical AI problems and potential solutions. Abstract In recent years, advances in artificial intelligence (AI) technology have led to the rapid clinical implementation of devices with AI technology in the medical field. More than 60 AI-equipped medical devices have already been approved by the Food and Drug Administration (FDA) in the United States, and the active introduction of AI technology is considered to be an inevitable trend in the future of medicine. In the field of oncology, clinical applications of medical devices using AI technology are already underway, mainly in radiology, and AI technology is expected to be positioned as an important core technology. In particular, “precision medicine,” a medical treatment that selects the most appropriate treatment for each patient based on a vast amount of medical data such as genome information, has become a worldwide trend; AI technology is expected to be utilized in the process of extracting truly useful information from a large amount of medical data and applying it to diagnosis and treatment. In this review, we would like to introduce the history of AI technology and the current state of medical AI, especially in the oncology field, as well as discuss the possibilities and challenges of AI technology in the medical field.