Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Evaluation of Digital Academic Competence of Chinese Humanists

Abstract:The entry of the humanities into the digital era characterizes the prominence of the two dimensions of technology and humanity, highlighting the trend of their mutual intersection and integration. The traditional research paradigm of humanists has been transformed. Based on literature research and semistructured interviews, this study adopts a grounded theory approach to identify the digital academic competence of humanists in China and finds it is composed of information acquisition competence, digital technology application competence, and digital sharing competence. On the basis of previous research, the paper uses a questionnaire and statistical method to locate the shortage of digital academic competence of humanists. Proposing the digital academic competence of humanists’ framework, the study involved a questionnaire related to the humanists’ digital academic competence and developing a competence evaluation indicator system. The findings of this study will help Chinese research institutions, especially university libraries, measure the digital academic competence of humanists and provide targeted guidance in the training of digital humanities.
Improved specific radioactivity of the PET radioligand [11C]FLB 457 by use of the GE medical systems PETtrace MeI microlab

[11C]FLB 457 is a high affinity dopamine D2 receptor radioligand that is used for visualisation and quantitation of extrastriatal dopamine D2 receptors with positron emission tomography (PET). In this study, we report a comparison regarding the specific radioactivity of [11C]FLB 457 obtained by two different methods of synthesising [11C]methyl iodide. In addition, the synthesis of unlabelled FLB 457 and the corresponding desmethyl-precursor, starting from commercially available material, is reported. The first method used for [11C]methyl iodide synthesis was reduction of [11C]CO2 with lithium aluminium hydride in tetrahydrofuran to [11C]CH3OH, followed by conversion into [11C]CH3I= with hydrogen iodide. The second, recently developed method uses gas phase halogenation of [11C]CH4 with iodine. [11C]FLB 457 was labelled with [11C]methyl triflate produced on-line from [11C]methyl iodide. With the first method a specific radioactivity for [11C]FLB 457 of 2100 Ci/mmol (78 GBq/μmol) (n=13) at 40 min after end of bombardment (EOB) was achieved. Using the gas phase method a specific radioactivity of 3400 Ci/mmol (126 GBq/μmol) (n=7) at 40 min EOB could be obtained. The use of the gas phase method also resulted in shorter time for set-up compared to the regular method since no wet chemistry is involved in the preparation of [11C]methyl iodide. Copyright © 2000 John Wiley & Sons, Ltd.
Aberrant Brain Network Integration and Segregation in Diabetic Peripheral Neuropathy Revealed by Structural Connectomics

Diabetic peripheral neuropathy (DPN) is one of the most common forms of peripheral neuropathy, and its incidence has been increasing. Mounting evidence has shown that patients with DPN have been associated with widespread alterations in the structure, function and connectivity of the brain, suggesting possible alterations in large-scale brain networks. Using structural covariance networks as well as advanced graph-theory-based computational approaches, we investigated the topological abnormalities of large-scale brain networks for a relatively large sample of patients with DPN (N = 67) compared to matched healthy controls (HCs; N = 88). Compared with HCs, the structural covariance networks of patients with DPN showed an increased characteristic path length, clustering coefficient, sigma, transitivity, and modularity, suggestive of inefficient global integration and increased local segregation. These findings may improve our understanding of the pathophysiological mechanisms underlying alterations in the central nervous system of patients with DPN from the perspective of large-scale structural brain networks.
Genome Sequence of Vibrio nigripulchritudo Strain TUMSAT-TG-2018, Isolated from Diseased Pacific White Shrimp, Litopenaeus vannamei

The Gram-negative bacterium Vibrio nigripulchritudo is an important shrimp pathogen. Here, we present the genome sequence of Vibrio nigripulchritudo TUMSAT-TG-2018, which was isolated from a diseased pacific white shrimp (Litopenaeus vannamei). The assembly totaled 6.8 Mbp, consisting of two chromosomes and four plasmids. ABSTRACT The Gram-negative bacterium Vibrio nigripulchritudo is an important shrimp pathogen. Here, we present the genome sequence of Vibrio nigripulchritudo TUMSAT-TG-2018, which was isolated from a diseased Pacific white shrimp (Litopenaeus vannamei). The assembly totaled 6.8 Mbp, consisting of two chromosomes and four plasmids.
Iron Supplementation Interferes With Immune Therapy of Murine Mammary Carcinoma by Inhibiting Anti-Tumor T Cell Function

Iron is both, an essential compound for many metabolic processes, and iron deficiency can impact on the proliferation of cells including lymphocytes but also tumor cells. On the other hand, excess iron-catalyzed radical formation can induce cellular toxicity which has been previously demonstrated for T cells in hereditary iron overload. Despite these interconnections, little is known on the effects of clinically approved intravenous iron supplements for curing cancer-related anemia, on T cell differentiation, tumor proliferation, anti-tumor T cell responses and, of clinical importance, on efficacy of cancer immunotherapies. Herein, we analyzed the effects of intravenous iron supplementation on T cell function and on the effectiveness of anti-cancer chemotherapy with IL-2/doxorubicin or immunotherapy with checkpoint-inhibitor anti-PD-L1 in C57Bl/6N female mice with implanted E0771 mammary carcinomas. We found that iron application resulted to an increased availability of iron in the tumor microenvironment and stimulation of tumor growth. In parallel, iron application inhibited the activation, expansion and survival of cytotoxic CD8+ T cells and of CD4+ T helper cells type 1 and significantly reduced the efficacy of the investigated anti-cancer treatments. Our results indicate that iron administration has a tumor growth promoting effect and impairs anti-cancer responses of tumor infiltrating T lymphocytes along with a reduced efficacy of anti-cancer therapies. Iron supplementation in cancer patients, especially in those treated with immunotherapies in a curative setting, may be thus used cautiously and prospective studies have to clarify the impact of such intervention on the outcome of patients.
The exploitative segregation of plant roots

Competitive roots Much of the world's plant biomass exists out of sight underground in the form of roots. Cabal et al. developed a theoretical model and tested it empirically to explain the rules that govern root growth (see the Perspective by Semchenko). Plants adjust how and where their roots grow according to how close neighboring—and competing—plants might be. The model extracts some of the rules about how root balls differ when grown close to neighboring plants compared with being grown in the absence of competition. Science, this issue p. 1197; see also p. 1167 In the presence of neighbors, plants overproliferate nearby roots and reduce their longer-range foraging roots. Plant roots determine carbon uptake, survivorship, and agricultural yield and represent a large proportion of the world’s vegetation carbon pool. Study of belowground competition, unlike aboveground shoot competition, is hampered by our inability to observe roots. We developed a consumer-resource model based in game theory that predicts the root density spatial distribution of individual plants and tested the model predictions in a greenhouse experiment. Plants in the experiment reacted to neighbors as predicted by the model’s evolutionary stable equilibrium, by both overinvesting in nearby roots and reducing their root foraging range. We thereby provide a theoretical foundation for belowground allocation of carbon by vegetation that reconciles seemingly contradictory experimental results such as root segregation and the tragedy of the commons in plant roots.
Chemical Composition and Antibacterial Activity of Essential Oils of Iranian Herbs Against Staphylococcus Aureus Isolated from Milk

Chemical composition and antibacterial activity of essential oils from three endemic plants including, Thymus daenensis Celak, Dracocephalum multicaule Montbr & Auch. , Satureja bachtiarica Bunge and one native plant, Tanacetum polycephalum Schultz-Bip were determined. Volatile oils analyzed using gas chromatography and gas chromatography-mass spectrometry. The in-vitro antibacterial activity was performed by agar disc diffusion and micro-dilution assays. The results revealed distinct differences in the compounds depending on sample plant. Among the plant species screened, essential oils of S. bachtiarica and T. daenensis showed highest antibacterial activity against Staphylococcus aureus.
Metagenome-Assembled Genome Sequence of Rhodobacteraceae Bacterium Strain Clear-D3, Assembled from a Dolichospermum Consortium from Clear Lake, California

Here, we report the metagenome-assembled genome sequence of a Rhodobacteraceae bacterium strain, Clear-D3, that was reconstructed from a cyanobacterial enrichment from a eutrophic lake. The draft genome sequence shows evidence of an anoxygenic photoautotrophic lifestyle. Other potential capabilities include aerobic heterotrophy, flagellar motility, chemotaxis, and utilization of complex C-P compounds. ABSTRACT Here, we report the metagenome-assembled genome sequence of a Rhodobacteraceae bacterium strain, Clear-D3, that was reconstructed from a cyanobacterial enrichment from a eutrophic lake. The draft genome sequence shows evidence of an anoxygenic photoautotrophic lifestyle. Other potential capabilities include aerobic heterotrophy, flagellar motility, chemotaxis, and utilization of complex C-P compounds.
Complete Genome Sequence of Adlercreutzia sp. Strain 8CFCBH1, a Potent Producer of Equol, Isolated from Healthy Japanese Feces

Here, we report the complete genome sequence of Adlercreutzia sp. strain 8CFCBH1, which was isolated from a Japanese fecal sample. The genome analysis revealed that the 8CFCBH1 strain potentially produces (S)-equol. ABSTRACT Here, we report the complete genome sequence of Adlercreutzia sp. strain 8CFCBH1, which was isolated from a Japanese fecal sample. The genome analysis revealed that the 8CFCBH1 strain potentially produces (S)-equol.
Shotgun Sequencing Revealed the Microbiota of Zea mays Rhizosphere of a Former Grassland and an Intensively Cultivated Agricultural Land

Land use is a major factor contributing to the differences in soil microbial assemblages. Despite the importance of microbial communities on crop health and productivity, a knowledge gap exists on the effects of land use change on microbial functions in the rhizosphere. ABSTRACT Land use is a major factor contributing to the differences in soil microbial assemblages. Despite the importance of microbial communities on crop health and productivity, a knowledge gap exists on the effects of land use change on microbial functions in the rhizosphere. This data set presents the metagenomic data from two maize fields in South Africa with different agricultural histories. It provides an opportunity for modeling microbes with beneficial functions that could enhance crop productivity.
Are Women Less Effective Leaders Than Men? Evidence from Experiments Using Coordination Games

We study whether one reason behind female underrepresentation in leadership is that female leaders are less effective at coordinating action by followers. Two experiments using coordination games investigate whether female leaders are less successful than males in persuading followers to coordinate on efficient equilibria. Group performance hinges on higher-order beliefs about the leader’s capacity to convince followers to pursue desired actions, making beliefs that women are less effective leaders potentially self-confirming. We find no evidence that such bias impacts actual leadership performance, identifying a precisely-estimated null effect. We show that this absence of an effect is surprising given experts’ priors.
Genome Sequence Data of Lactobacillus ruminis ICIS-540, Isolated from the Intestine of a Healthy Woman

Data on the draft genome sequence of Lactobacillus ruminis ICIS-540 are presented in this report. This Lactobacillus strain was isolated from the human colon as a prospective probiotic candidate. The genome size was 2,397,517 bp (G+C content of 42.7%). Annotation revealed 2,847 coding sequences, including 2,573 proteins. ABSTRACT Data on the draft genome sequence of Lactobacillus ruminis ICIS-540 are presented in this report. This Lactobacillus strain was isolated from the human colon as a prospective probiotic candidate. The genome size was 2,397,517 bp (G+C content, 42.7%). Annotation revealed 2,847 coding sequences, including 2,573 proteins.
Expected consequences of anger‐related behaviours

In a study with 140 participants (66 men, 74 women), we investigated behaviour outcome expectancies (cognitive, affective and relational) regarding a broad group of anger‐related behaviours (e.g. hit someone, run away). Results of a three‐mode component analysis indicated that behaviour outcome expectancies vary considerably, depending on the behaviour (aggressive versus nonaggressive ones), the consequence (consequences related to the self versus consequences for the anger) and the individual. The findings are discussed in the context of catharsis theory, emotion regulation and functionalistic accounts of emotion‐related behaviour. Copyright © 2006 John Wiley & Sons, Ltd.
Green Governments

We examine how Green governments influence macroeconomic, education, and environmental outcomes. We exploit that the Fukushima nuclear disaster in Japan gave rise to an unanticipated change in government in the German state Baden-Wuerttemberg in 2011. Using the synthetic control method, we find no evidence that the Green government influenced macroeconomic outcomes. Inclusive education policies caused comprehensive schools to become larger. The results do not suggest that the Green government influenced CO2 emissions or increased renewable energy usage overall. The share of wind power usage even decreased. Intra-ecological conflicts prevented the Green government from implementing drastic changes in environmental policies.
Predictions of Disease Risk in Space and Time Based on the Thermal Physiology of an Amphibian Host-Pathogen Interaction

Emerging infectious diseases have been responsible for declines and extinctions in a growing number of species. Predicting disease variables like infection prevalence and mortality and how they vary in space and time will be critical to understanding how host-pathogen dynamics play out in natural environments and will help to inform management actions. The pandemic disease chytridiomycosis, caused by the fungal pathogen, Batrachochytrium dendrobatidis (Bd), has been implicated in declines in hundreds of amphibian species worldwide. We used field-collected measurements of host body temperatures and other physiological parameters to develop a mechanistic model of disease risk in a declining amphibian, the Northern cricket frog (Acris crepitans). We first used a biophysical model to predict host body temperatures across the species range in the eastern United States. We then used empirically derived relationships between host body temperature, infection prevalence and survival to predict where and when the risk of Bd-related declines is greatest. Our model predicts that pathogen prevalence is greatest, and survival of infected A. crepitans frogs is lowest, just prior to breeding when host body temperatures are low. Taken together, these results suggest that Bd poses the greatest threat to short-lived A. crepitans populations in the northern part of this host’s range and that disease-related recruitment failure may be common. Furthermore, our study demonstrates the utility of mechanistic modeling approaches for predicting disease outbreaks and dynamics in animal hosts.
Association of Cigarette Smoking, COPD, and Lung Cancer With Expression of SARS-CoV-2 Entry Genes in Human Airway Epithelial Cells

SARS-CoV-2 enters into human airway epithelial cells via membrane fusion or endocytosis, and this process is dependent on ACE2, TMPRSS2, and cathepsin L. In this study, we examined the expression profiles of the three SARS-CoV-2 entry genes in primary human airway epithelial cells isolated from smokers, non-smokers, patients with chronic obstructive pulmonary disease or lung cancer. An exhaustive search of the GEO database was performed to identify eligible data on 1st June 2020. In total, 46 GEO datasets comprising transcriptomic data of 3,053 samples were identified as eligible data for further analysis. All meta-analysis were performed using RStudio. Standardized mean difference was utilized to assess the effect size of a factor on the expression of targeted genes and 95% confidence intervals (CIs) were calculated. This study revealed that (i) cigarette smoking is associated with an increased expression of ACE2 and TMPRSS2 and a decreased expression of cathepsin L; (ii) significant alternations in expression of ACE2, TMPRSS2, and cathepsin L were observed between current smokers and former smokers, but not between former smokers and never smokers; (iii) when compared with healthy controls with identical smoking status, patients with COPD or lung cancer showed negligible changes in expression of ACE2, TMPRSS2, and cathepsin L. Therefore, this study implicates cigarette smoking might contribute to the development of COVID-19 by affecting the expression of SARS-CoV-2 entry genes, while smoking cessation could be effective to reduce the potential risk.
Lipid-Lowering Effects of Lotus Leaf Alcoholic Extract on Serum, Hepatopancreas, and Muscle of Juvenile Grass Carp via Gene Expression

Compared with wild grass carp (Ctenopharyngodon idellus), intensively cultured fish displayed disordered lipid metabolism, showing excess lipid deposition in the hepatopancreas and muscle. Lotus leaf prevents fat accumulation in humans and may have similar effects on fish. This study explored the regulatory mechanisms by which the dietary addition of an alcoholic extract of lotus leaf (AELL) reduced lipid deposition in the hepatopancreas and muscle of juvenile grass carp. The fish (average initial weight: 34.00 ± 0.40 g) were fed four experimental diets containing different AELL levels (0, 0.07, 0.14, and 0.21%) for 8 weeks. Serum components, lipid droplet size, triacylglycerol (TAG) content, enzymatic activities, and mRNA levels of genes related to lipid metabolism in the hepatopancreas and muscle were analyzed. The results show that dietary AELL supplementation significantly reduced the TAG content and lipid droplet area in the histological sections as well as the fatty acid synthase (FAS) activity in both the hepatopancreas and muscle but enhanced the activities of lipoprotein lipase (LPL) and carnitine palmitoyltransferase I (CPT1) in both tissues. In addition, dietary AELL supplementation decreased the mRNA expression of genes involved in fatty acid uptake (cd36, fatp1/fatp4/fatp6, fabp10/fabp11, acsl1/acsl4) and de novo lipid synthesis (pgd, g6pd, and fasn) as well as the transcription factors pparg and srebf1 in the hepatopancreas and muscle but increased the mRNA levels of genes relating to lipid catabolism (cpt1a, lipe, pnpla2, lpl), lipid transportation (apob), and the transcription factor ppara in both tissues. In conclusion, dietary AELL supplementation reduced lipid accumulation in the hepatopancreas and muscle by affecting the gene expression of proteins with known effects on lipid metabolism in juvenile grass carp.
Higher Cytokine and Opsonizing Antibody Production Induced by Bovine Serum Albumin (BSA)-Conjugated Tetrasaccharide Related to Streptococcus pneumoniae Type 3 Capsular Polysaccharide

A number of studies have demonstrated the limited efficacy of S. pneumoniae type 3 capsular polysaccharide (CP) in the 13-valent pneumococcal conjugate vaccine against serotype 3 invasive pneumococcal diseases and carriage. Synthetic oligosaccharides (OSs) may provide an alternative to CPs for development of novel conjugated pneumococcal vaccines and diagnostic test systems. A comparative immunological study of di–, tri–, and tetra–bovine serum albumin (BSA) conjugates was performed. All oligosaccharides conjugated with biotin and immobilized on streptavidin-coated plates stimulated production of IL-1α, IL-2, IL-4, IL-5, IL-10, IFNγ, IL-17A, and TNFα, but not IL-6 and GM-CSF in monocultured mice splenocytes. The tetrasaccharide–biotin conjugate stimulated the highest levels of IL-4, IL-5, IL-10, and IFNγ, which regulate expression of specific immunoglobulin isotypes. The tetra–BSA conjugate adjuvanted with aluminum hydroxide elicited high levels of IgM, IgG1, IgG2a, and IgG2b antibodies (Abs). Anti-CP-induced Abs could only be measured using the biotinylated tetrasaccharide. The tetrasaccharide ligand possessed the highest binding capacity for anti-OS and antibacterial IgG Abs in immune sera. Sera to the tetra–BSA conjugate promoted greater phagocytosis of bacteria by neutrophils and monocytes than the CRM197-CP-antisera. Sera of mice immunized with the tetra–BSA conjugate exhibited the highest titer of anti-CP IgG1 Abs compared with sera of mice inoculated with the same doses of di– and tri–BSA conjugates. Upon intraperitoneal challenge with lethal doses of S. pneumoniae type 3, the tri– and tetra–BSA conjugates protected mice more significantly than the di–BSA conjugate. Therefore, it may be concluded that the tetrasaccharide ligand is an optimal candidate for development of a semi-synthetic vaccine against S. pneumoniae type 3 and diagnostic test systems.
A queue length estimation and prediction model for long freeway off-ramps

Abstract Real-time queue length estimation and prediction provides useful information for proactively managing transportation networks. Queue spillback from off-ramps onto main lanes of freeways is one of the traffic issues caused by vehicular queues that can be efficiently managed using dynamic queue information. In this paper, a case-based reasoning algorithm combined with a Kalman filter is developed to provide real-time queue length estimations and predictions on freeway off-ramps. The estimations are based on occupancy readings from three loop detectors installed on a ramp. The proposed method is examined using a micro-simulation model of an off-ramp with a length of 650 meters and a traffic signal downstream of the ramp. The simulation results show an accuracy of ±3.15 vehicles in the queue in 60-second time intervals. In addition, a rigorous sensitivity analysis is conducted to examine the performance of the algorithm under various demand loading scenarios, time intervals, number of detectors used, and errors in prior estimations. The results show that the model performs well in terms of estimating and predicting the length of long queues on freeway off-ramps at various congestion levels. The outcomes of this study can be utilized to activate dynamic, responsive, and proactive queue management and traffic control measures.