Miracle-dz/UniFAR-FTUs huggingface dataset:
Mammalian Insectivores Exert Top‐Down Effects on Azteca Ants

Insectivorous mammals are hypothesized to reduce the abundance of their insect prey. Using a 14‐yr mammal exclusion experiment, we demonstrate for the first time that a widespread and abundant Neotropical mammalian insectivore (Tamandua: Tamandua mexicana) reduced Azteca ant abundance. Azteca ant nests inside mammal exclosures were significantly larger than nests in control plots, where tamanduas were more abundant. These top‐down effects were caused not only by direct consumption, but also through non‐trophic direct effects, specifically nest damage. In contrast, tamanduas appeared to exert no significant top‐down effect on termite prey, which have strong chemical defenses. Our results are consistent with theory that strong defenses against predation can mitigate the top‐down effects of predators on some prey species. We argue that predicting the degree of top‐down effects caused by predators requires both a quantitative knowledge of prey choice and an understanding of the anti‐predator defenses of prey.
Quality and Brands of Amoxicillin Formulations in Nairobi, Kenya

Antibiotics are among the most counterfeited anti-infectious medicines in developing countries. Amoxicillin is one of the commonly prescribed, affordable, and easily accessible antibiotic in Kenya. It is a broad-spectrum antibiotic hence commonly used in chemotherapy. This study sought to determine the quality and identify the various brands of amoxicillin and its combination amoxicillin/clavulanic acid marketed in Nairobi County. Nairobi is the capital city of Kenya, gateway for imports and exports, and the headquarters to most of the pharmaceutical distributors. Ten wards in Nairobi County representing different socioeconomic settings were purposively sampled for the study. A detailed questionnaire was used to collect background data on brands of amoxicillin and amoxicillin/clavulanic acid in the market. A total of 106 different brands were found in the market: 85 were imports while 21 were locally manufactured. Fifty-three samples were analyzed with reference to the United States Pharmacopoeia. Amoxicillin and clavulanic acid contents for oral suspensions were determined immediately after reconstitution and 7 days thereafter to determine their stability during the prescription period. On day seven, 23.1% (3 out of 13) of amoxicillin and 66.7% (8 out of 12) amoxicillin/clavulanic acid oral suspensions presented levels below recommended limits. Uniformity of weight for amoxicillin capsules noted 13.6% (3 out of 22) failure rate, while amoxicillin/clavulanic acid tablets complied. Potency determination for all amoxicillin capsules analyzed were within required limits, but amoxicillin/clavulanic acid tablets showed 33.3% (2 out of 6) noncompliance. For amoxicillin capsule and amoxicillin/clavulanic acid tablet dissolution tests, there was 10.5% (2 out of 19) and 50% (2 out of 4) noncompliance, respectively. Overall, 37.7% of the drugs analyzed failed to comply with the Pharmacopoeia. These results highlight the presence of poor-quality amoxicillin formulations in Nairobi County, affirming the need for regular postmarket surveillance to inform on the situation of antibiotic quality in the Kenyan market.
Prognostic and Predictive Value of Cadherin 11 for Patients with Gastric Cancer and Its Correlation with Tumor Microenvironment: Results from Microarray Analysis

Gastric cancer is a disease characterized by inflammation, and epithelial-to-mesenchymal transition (EMT) and tumor-associated macrophages (TAMs) both play a vital role in epithelial-driven malignancy. In the present study, we performed an integrated bioinformatics analysis of transcriptome data from multiple databases of gastric cancer patients and worked on a biomarker for evaluating tumor prognosis. We found that cadherin 11 (CDH11) is highly expressed not only in gastric cancer tissues but also in EMT molecular subtypes and metastatic patients. Also, we obtained evidence that CDH11 has a significant correlation with infiltrating immune cells in the tumor microenvironment (TME). Our findings reflected that CDH11 likely plays an important role in tumor immune escape and could provide a prognostic biomarker and potential therapeutic target for patients with gastric cancer.
Do Racial/Ethnic and Economic Factors Affect the Rate of Complicated Appendicitis in Children?

Introduction Appendicitis continues to be one of the most common surgical conditions in the pediatric population. We set out to determine demographic and practice variations among children admitted with appendicitis and highlight the racial/ethnic and healthcare access role in relation to the rate of complicated appendicitis using the 2012 Kids' Inpatient Database (KID). Methodology. A retrospective cross-sectional database study was performed using the 2012 KID. All children (age 1 months to 20 years) with appendicitis were identified using the ICD-9 diagnosis codes. Children with a diagnosis of appendicitis were compared with all other discharges. Among children with appendicitis, demographic and practice variations and the rate of complicated appendicitis were evaluated. Univariate and multivariate analyses were done to analyze the data. Sample weighing was done to present national estimates. Results In 2012, a total of 89, 935 out of 2.7 million pediatric hospital discharges (3.3%) had a diagnosis of appendicitis. The incidence of appendicitis was higher in males (4.7%), 6–15-year age group (7.43%), Hispanics (5.2%), and in the Western region (5.2%) and was lower in infants (0.02%) and African American children (1.2%) (p < 0.0001). The proportion of children with peritonitis or abscess was higher in children's hospitals (48.2% vs. 29.0%; OR 2.3, 95% CI: 2.2–2.4). The risk of complicated appendicitis was inversely related to age, while racial and ethnic minority status, bottom quartile of the income group, and government insurance increased the risk. Laparoscopic appendectomy was performed more frequently at children's hospitals (84.8% vs. 74.3%; p < 0.0001). Conclusions Appendicitis is more common in Hispanics, males, older children, and in the Western region. Complicated appendicitis is more common in younger children, minority groups, low-income group, and children with government insurance. Children's hospitals manage more children with complicated appendicitis and are more likely to perform laparoscopic appendectomy.
Efficiency of selection within sugarcane families via simulated individual BLUP

The aim of this study was to assess the efficiency of the simulated individual BLUP (BLUPIS) method in selecting genotypes within full-sib families of sugarcane in ratoon stage, through comparison with selection using the individual BLUP method. The optimal number of genotypes to be selected in the best families were established for mean stems mass, total soluble solids assay (BRIX), ton of stalks per hectare, and BRIX tons per hectare traits. Seventeen full-sib families were assessed in the Centre for Experimentation in Sugarcane, located in Oratorios, MG, Brazil. Mixed model methodology was used to predict the genotypic effects of each family and the genotypic values of each individual within family. BLUPIS method is efficient for individual selection. The optimal number of genotypes to be selected in the best family for obtaining higher efficiency of the BLUPIS method is 100 in the majority of cases.
Circular RNAs in Gastric Cancer: Potential Biomarkers and Therapeutic Targets

Circular RNAs (circRNAs), as a recently established group of endogenous noncoding RNAs, have been involved in the occurrence and development of different malignancies. Gastric cancer (GC) remains a globally significant contributor to death in cancer patients due to insufficient early diagnosis, limited treatment measures, and poor prognosis. An increasing number of studies have found that many circRNAs are dysregulated in GC and are closely associated with its tumorigenesis and metastasis. Thus, circRNAs have the potential to serve as diagnostic and prognostic biomarkers and even therapeutic targets. This review comprehensively summarizes the most recent findings on how circRNAs influence GC progression and their clinical value. In addition, we present several methological deficiencies in the studies and provide some promising ideas for future research.
Distribution of Fungi in the Sandy Soil of Egyptian Beaches

The mycobiota of the sandy soil of Egyptian beaches was investigated in thirty six sand samples collected from nine different localities in Egypt. The filamentous fungi were identified and assigned to thirty one genera and fifty one species. Greater populations as well as a wider spectrum range of fungal genera and species were obtained in sandy soil of Alexandria beach while Balteem beach was the poorest one. The total count of the genus or species was not depended upon cases of isolation. Most of the genera detected belonged to the Deuteromycotina with fewer proportions belonging to the Ascomycotina and Zygomycotina. The genera of highest incidence and their respective numbers of species were: Penicillium (35.72%, 6 species) and Aspergillus (30.28%, 16 species). The species which showed the highest incidence in all cases was P. chrysogenum, followed by P citrinum, A. flaws, Chaetomium murorum and Trichoderma viride. A few number of other genera and species were also detected.
Improving Quality of the Solution for the Team Formation Problem in Social Networks Using SCAN Variant and Evolutionary Computation

Social Network Analysis helps to visualize and understand the roles and relationships that ease or impede the collaboration and sharing of the information and knowledge in an organization. In this research work, we will focus on the Team Formation Problem (TFP) which is an open problem where we need to identify an ideal team, with members of complementary talent or skills, to solve any given task. Current research suggests that TFP solutions have been attempted with evolutionary computation approach using Cultural Algorithms (CA) and Genetic Algorithms (GA). However, SCAN (Structural Clustering Algorithm for Networks) variants such as WSCAN (Weighted Structural Clustering Algorithm for Networks) demonstrate a high capability to find solutions for another type of network problems. In this thesis, we first propose to use WSCAN-TFP algorithm to deal with the problem of team formation in social networks, and we our findings indicate that WSCAN-TFP algorithm worked faster than the evolutionary algorithms counterparts but was of lower performance compared to CAs and GAs. Next, we propose two hybrid solutions by combining GA and CA with a modified WSCAN-TFP algorithm. To test the performance of our proposed approaches, we define multiple quality criteria based on communication cost (CC), average fitness score (AFS) and average processing time. We used big datasets from DBLP nodes network with sizes 50K and 100K. The results show that our proposed methods HGA and HCA can find the near-optimal solutions faster with minimum communication cost with the improvement of ≈ 66% and ≈ 57% in average fitness in comparison to existing GA and CA methods respectively.
Pest status of lygus bugs (Hemiptera: Miridae) in oilseed Brassica crops.

The feeding damage of Iygus bugs and their effects on yield of oilseed rape were assessed in commercial fields and plots of Brassica napus L. and Brassica campestrls L. in Alberta, Canada. Surveys of commercial fields showed that 6% of canola seed in some regions was destroyed by lygus bugs, on average, and that in some fields >20% of the seed was destroyed. When lygus bugs were controlled with insecticide at the early pod stage, yield increased by 11–35% in five tests. The highest yield loss was associated with a lygus bug density of 52 per 10 sweeps at the early pod stage and this loss was statistically significant. The smallest yield increases occurred when insecticide was applied at the bud or flower stages, but these were not significant. The percentage of seeds injured by Iygus bug increased and the yield decreased as lygus density increased. In three of four trials, yield declined as the percentage of seed injured by lygus bugs increased. These trends were similar in a number of experiments conducted in different years and locations, but many of the slopes defining the relationships were not statistically significant, and the predictive variables accounted for relatively small proportions of the variation. The percentage of seed injured by Iygus and the relationships between lygus density, seed damage, and canola yield support the conclusion that lygus bugs can cause agronomically important losses of canola under field conditions in Alberta.
Single-nucleotide polymorphism rs1761667 in the CD36 gene is associated with orosensory perception of a fatty acid in obese and normal-weight Moroccan subjects

Obese subjects have shown a preference for dietary lipids. A recent collection of evidence has proposed that a variant in the CD36 gene plays a significant role in this pathway. We assessed the association between the orosensory detection of a long-chain fatty acid, i.e. oleic acid (OA), and genetic polymorphism of the lipid taste sensor CD36 in obese and normal-weight subjects. Adult participants were recruited in the fasting condition. They were invited to fat taste perception sessions, using emulsions containing OA and according to the three-alternative forced-choice (3-AFC) method. Genomic DNA was used to determine the polymorphism (SNP rs 1761667) of the CD36 gene. Obese (n 50; BMI 34⋅97 (sd 4⋅02) kg/m2) exhibited a significantly higher oral detection threshold for OA (3⋅056 (sd 3⋅53) mmol/l) than did the normal-weight (n 50; BMI 22⋅16 (sd 1⋅81) kg/m2) participants (1⋅20 (sd 3⋅23) mmol/l; P = 0⋅007). There was a positive correlation between OA detection thresholds and BMI in all subjects; evenly with body fat percentage (BF%). AA genotype was more frequent in the obese group than normal-weight group. OA detection thresholds were much higher for AA and AG genotypes in obese subjects compared with normal-weight participants. Higher oral detection thresholds for fatty acid taste are related to BMI, BF% and not always to CD36 genotype.
Long‐term study of root biomass in a biodiversity experiment reveals shifts in diversity effects over time

Biodiversity experiments generally report a positive effect of plant biodiversity on aboveground biomass (overyielding), which typically increases with time. Various studies also found overyielding for belowground plant biomass, but this has never been measured over time. Also, potential underlying mechanisms have remained unclear. Differentiation in rooting patterns among plant species and plant functional groups has been proposed as a main driver of the observed biodiversity effect on belowground biomass, leading to more efficient belowground resource use with increasing diversity, but so far there is little evidence to support this. We analyzed standing root biomass and its distribution over the soil profile, along a 1–16 species richness gradient over eight years in the Jena Experiment in Germany, and compared belowground to aboveground overyielding. In our long-term dataset, total root biomass increased with increasing species richness but this effect was only apparent after four years. The increasingly positive relationship between species richness and root biomass, explaining 12% of overall variation and up to 28% in the last year of our study, was mainly due to decreasing root biomass at low diversity over time. Functional group composition strongly affected total standing root biomass, explaining 44% of variation, with grasses and legumes having strong overall positive and negative effects, respectively. Functional group richness or interactions between functional group presences did not strongly contribute to overyielding. We found no support for the hypothesis that vertical root differentiation increases with species richness, with functional group richness or composition. Other explanations, such as stronger negative plant–soil feedbacks in low-diverse plant communities on standing root biomass and vertical distribution should be considered.
Negative Regulation of Tec Kinase Alleviates LPS-Induced Acute Kidney Injury in Mice via theTLR4/NF-κB Signaling Pathway

Tec kinase is an important mediator in inflammatory immune response that enhances the activity of neutrophils and macrophages. However, information on its function in lipopolysaccharide- (LPS-) induced acute kidney injury (AKI) is limited. This study is aimed at determining whether Tec kinase was a regulator in AKI. An AKI model in mice was successfully established using intraperitoneal LPS. Results showed that the serum levels of creatinine (Cr), blood urea nitrogen (BUN), and cystatin-C (Cys-C) increased after intraperitoneal LPS injection. Renal tissue sustained significantly severe injury as measured by pathological scores. Pretreatment with LFM-A13 improved the function of the kidney in mice and decreased the renal injury score. Enzyme-linked immunosorbent assay showed that LFM-A13 significantly reduced the release of IL-1β and TNF-α in mice exposed to LPS. LFM-A13 can evidently abrogate the expression of Tec protein, MyD88, TLR4, NF-κB p65, and Tec's phosphorylated protein as determined by Western blot. Immunohistochemistry analysis revealed that LFM-A13 markedly downregulated the expression of Tec kinase in renal tubular epithelial cells. In vitro, Tec kinase protein was expressed highly in NRK-52E cells after LPS exposure. Tec-siRNA also decreased IL-1β and TNF-α production and obviously abolished phospho-p65 and phospho-IκBα expression in NRK-52E cell stimulated by LPS; however, Tec-siRNA increased the IκBα level. Altogether, these data suggested that Tec kinase can be a modulating protein in AKI through TLR4/NF-κB activation.
Detection of epidermal growth factor receptor T790M mutation by allele-specific loop mediated isothermal amplification

INTRODUCTION: Targeted therapy using specific inhibitors against tyrosine kinases (TKs) is a paradigm in non-small-cell lung cancer management. However, the success of TK inhibitor (TKI) therapy depends on certain activating or acquired mutations, which render sensitivity or resistance to TKIs in the patients. The acquisition of epidermal growth factor receptor (EGFR) T790M point mutation is the most common mechanism of resistance to TKI in non-small cell lung cancer. A number of molecular strategies are now available for molecular testing of non-small cell lung cancers. However, almost all of them are cost-intensive and laborious and require high-end advanced equipment. Thus, assays that are rapid, simple, and cost-effective, yet sensitive, are most ideal in clinical settings for screening such therapeutically relevant mutations. MATERIALS AND METHODS: Allele-specific loop-mediated isothermal amplification assay (AS-LAMP), which is a variant of the original LAMP assay, is a promising diagnostic technique for screening single-nucleotide polymorphisms. Using commercially available plasmid constructs as template DNA, AS-LAMP assay for EGFR T790M mutation was optimized with six different sets of reaction mixture containing varying concentrations of buffer and primers. The results of AS-LAMP assay were further validated by ultrasensitive droplet digital polymerase chain reaction. RESULTS: Only one of the six sets of reaction mixture could accurately distinguish between wild type and mutated DNA, indicating that the primers and buffer are the two most critical components that determine the accuracy of AS-LAMP. The optimized AS-LAMP assay was further used to screen germ line and somatic T790M mutations in non-small cell lung cancer using blood and tissue samples collected from patients. CONCLUSION: Development of an accurate and rapid diagnostic assay that can detect resistant mutations without the need for sequencing is highly useful for clinicians in deciding on the eligibility of patients for TKI therapy. Considering its several inherent advantages, AS-LAMP assay could become an effective molecular tool for screening baseline or acquired EGFR T790M mutations in non-small cell lung cancer patients.
Rural America’s Hospitals are Not Prepared to Protect Older Adults From a Surge in COVID-19 Cases

Rural communities with predominantly older adult populations could be especially vulnerable to poor outcomes from COVID-19 due to lacking intensive care unit (ICU) capacity. Our objective is to describe the scope of the problem by summarizing population totals of older adults in rural America and their community’s ICU bed availability. We performed a review of peer-reviewed literature, in addition to hand searching non–peer-reviewed and governmental/non-governmental agency reports, using the Kaiser Health News data report to assess the number of ICU beds in 10 predominantly rural states with the highest older adult populations. We found that while 19% of the U.S. population lives in rural counties, these counties contain only 1% of the ICU beds in the United States. Counties particularly at risk for inadequate ICU capacity include Crittenden, Arkansas; Cass, Minnesota; and Sagadahoc, Maine. Solutions include building new delivery systems, reopening previously closed rural hospitals, and calling on local businesses to create medical supplies. In summary, the 10 million older adults in rural communities in the United States may face challenges with obtaining critical care treatment due to the increased need of ICU beds during the COVID-19 pandemic.
CCNB2, TOP2A, and ASPM Reflect the Prognosis of Hepatocellular Carcinoma, as Determined by Weighted Gene Coexpression Network Analysis

Background Hepatocellular carcinoma (HCC) is characterized by increased mortality and poor prognosis. We aimed to identify potential prognostic markers by weighted gene coexpression network analysis (WGCNA), to assist clinical outcome prediction and improve treatment decisions for HCC patients. Methods Prognosis-related gene modules were first established by WGCNA. Venn diagrams obtained intersection genes of module genes and differentially expressed genes. The Kaplan-Meier overall survival curves and disease-free survival curves of intersection genes were further analyzed on the Gene Expression Profiling Interactive Analysis website. Chi-square tests were performed to explore the associations between prognostic gene expressions and clinicopathological features. Results CCNB2, TOP2A, and ASPM were identified as both prognosis-related genes and differentially expressed genes. TOP2A (HR: 1.7, P = 0.003) and ASPM (HR: 1.8, P < 0.001) exhibited a significant difference between the high- and low-expression groups in the overall survival analysis, while CCNB2 (HR: 1.4, P = 0.052) was not statistically significant. CCNB2 (HR: 1.5, P = 0.006), TOP2A (HR: 1.7, P < 0.001), and ASPM (HR: 1.6, P = 0.003) were all statistically significant in the disease-free survival analysis. All three genes were significantly associated with race and fetoprotein values (P < 0.05). CCNB2 expression was associated with tumor stage (P = 0.01), and ASPM expression was associated with new tumor events (P = 0.03). Conclusion Overexpression of CCNB2, TOP2A, and ASPM are associated with poor prognosis, and these genes could serve as potential prognostic markers and therapeutic targets for HCC.