Miracle-dz/UniFAR-FTUs huggingface dataset:
Seed treatment influence with Carboxin+Thiram to initial development of crambe (Crambe abyssinica Hoechst) in two crop years.

Crambe abyssinica Hoechst, from Brassicaceae family, is a promising plant for the biofuel production field. However for being a worldwide successful culture, it is necessary to be able to yield optimize, so it is interesting to be guaranteed of a good quality seeds and technologies use such as seed treatment, to achieved a good crop establishment in the early phase plant development. The objective of this experiment was to evaluate the initial development of the crambe, treated seed with fungicide Carboxin + Thiram (Vitavax, Du Pont) in two growing seasons. The experiment was conducted in a protected environment, at Maringá State University, Umuarama campus, at Paraná State, Brazil. Delineation was completely randomized with two treatments and ten repetitions. It can be concluded that, the treatment can disrupt the initial plant development, in both years.
Biogenic methane in freshwater food webs

SUMMARY 1. It has long been known that substantial amounts of methane are produced in anoxic lake sediments, and the components of the methane cycle in lakes have been well described. At oxic–anoxic interfaces, methane-oxidising bacteria (MOB) convert methane to microbial biomass and can be highly productive. However, only recently has methane been recognised as a potentially important carbon and energy source for lake food webs, and some instances have also been reported of methane contribution to river food webs. Stable isotope analysis (SIA) has provided compelling evidence in this respect and has been supplemented by other lines of evidence. 2. In the benthic food webs of lakes, profundal chironomid larvae appear to be the main conduits for trophic transfer of biogenic methane via grazing on MOB. The mode of feeding of these larvae and the microhabitats they generate both promote larval ability to exploit MOB production. Support to chironomid larvae from methane is rather widespread, but its degree is highly variable; estimates suggest that in some lakes methane-carbon might contribute more than 60% of chironomid carbon biomass. 3. Evidence of crustacean zooplankton in lakes deriving part of their carbon from methane is currently more limited. Reports from some lakes have indicated Daphnia with a substantial (>50%) contribution of methane-carbon in their biomass. However, for this to happen, an oxic–anoxic interface where sufficient MOB production can occur needs to be within the range of vertical migrations by zooplankton, which may only rarely be the case. Hence, a significant methane subsidy of pelagic food webs in lakes is probably much less widespread than for benthic food webs. 4. There is also recent and currently very limited evidence that some stream benthos derives biomass carbon (reported values up to 30%) from methane. This can occur in stagnant backwater pools where conditions can be analogous to those in lake sediments. However, groundwater aquifers can also supply water supersaturated with methane to some rivers, providing a basis for a microbially-mediated transfer of methane-carbon to river benthos. 5. Evidence for significant transfer of methane-derived carbon to higher trophic levels is still very limited. Within some lakes, those fish species that feed extensively on chironomid larvae can derive a substantial part (perhaps up to 20%) of their carbon biomass from methane. It is also likely that methane-carbon produced in lakes or rivers is exported to riparian ecosystems when emerging chironomids or other insects are eaten by invertebrate or avian predators. 6. We argue that conceptual models of freshwater food webs, and especially those for lakes, need to be modified to enable incorporation of biogenic methane as a carbon and energy source. For some types of lakes, carbon and energy budgets certainly need to take
The Pattern of Joints Involvement in Patients with Rheumatoid Arthritis in Rheumatology Clinic Dr. Hasan Sadikin General Hospital Bandung

Background: Rheumatoid arthritis (RA) is a chronic inflammatory disease with primary manifestation in the joints. Early management of RA will prevent further joint damage. The joint damages, result of uncontrolled disease activity, will decrease patient’s quality of life.RA should be diagnosed earlier and followed by early treatment initiation, in order to prevent further damages. This study aimed to determine the pattern of joint involvement in RA in order to made earlier diagnosis and treatment initiation.Method: This research was conducted using descriptive study design. Data were obtained using interview of RA patients who coming to Rheumatology Clinic of Dr. Hasan Sadikin General Hospital from August 2016 to October 2016. Collected data included number of joints involvement, duration of therapy, and duration of illness after diagnosed according to the criteria of ACR / EULAR 2010.Result: Ninety-seven RA patients were involved in this study. Subjects were dominantly women (87%), the highest age group was 45-49 years old (17.53%), duration of the disease 3 months (86%). Joint that frequently involved at the time when the diagnosis made was first proximal interphalangeal (49.50%), overall findings during the course of RA was the wrist joint (90.72%). There were different tendency of joint involvement between the gender, knee joints occured in 53,84% male subjects, while PIP joints were accounted for 52,38% infemale subjects.Conclusion: The first PIP was the most common joint involved in RA patients when the diagnosis made. The wrist joint involvement was dominantly found in overall course of RA. Knee joint involvement was majorly found in male RA patients, whereas female RA patients would suffer mostly from PIP joint involvement.Keywords: involvement pattern, joints, rheumatoid arthritis
Near infrared reflectance spectroscopy in the prediction of chemical characteristics of minced raw fish

Near infrared reflectance spectroscopy (NIRS) was applied to predict chemical composition in minced raw fish samples used to make fishmeal. The coefficients of determination (R2calibration) and standard error in cross validation (SECV) were 0.99 (3.86) and 0.96 (8.01) in g kg–1 for moisture and oil, respectively. Total volatile nitrogen (TVN) gave R2calibration and SECV of 0.96 (3.51) in mg g–1. Temperature also was predicted by NIRS, yielding R2calibration: 0.98 and SECV: 1.07 °C. We conclude that NIRS can be used successfully to assess the chemical composition and storage conditions in minced raw fish used by the fishmeal industry.
Examining the Farming/Language Dispersal Hypothesis.

This book emerged from a conference of scholars from three different disciplines (archaeology, genetics, and comparative linguistics) that was convened by the book’s coeditors. A total of 36 papers written by 43 delegates were circulated before final drafts were prepared, and all the papers focused on the farming/language dispersal hypothesis (FLDH)—namely, that the distributions of some language families resulted from expansions of farming practices from their points of origin. Bellwood introduced the term “triangulation” to refer to the simultaneous focus of evidence from all three disciplines on the hypothesis. The book’s 36 chapters are organized into three parts, the first of which consists of only two chapters—each written by one of the book’s coeditors—that introduce the rationale and assumptions underlying the FLDH.
Antibiotic Resistance Patterns and Molecular Typing of Acinetobacter Baumannii Strains Isolated from Burn Patients in Iran

Background and Aims: Acinetobacter baumannii is an important multidrug-resistant opportunistic pathogen frequently causing various nosocomial infections and is a serious threat to burn patients. These infections are usually caused by the outbreak strains. The aim of this study was to show antibiotic resistance pattern and molecular typing of A.baumannii genes isolates collected from burn patients and also distribution of different types of burn patients. Materials and Methods: In this study, 307 different strains were detected. Totally 100 A.baumannii strain was selected in burn center of Isfahan hospital. Antibiotic resistance pattern was determined by disk diffusion method (Kirby Bauer). The presence of genes coding in antibiotic resistance were analyzed by using M-PCR method. The standard strains of Escherichia coli ATCC 25922 and A. baumannii ATCC 19606 were used as negative and positive controls. Results: The antibiotic resistance pattern for A.baumannii showed high resistance for ciprofloxacin, ceftazidime, and tetracycline with frequency of 82.5%, 75.3%, 72%, respectively. Moreover, the most sensitive antibiotics were chloramphenicol, and nitrofurantoin with the resistance frequency of 3.9% and 2.8%. CITM (91.1%) was the highest detected gene. Conclusions: High prevalence of antibiotic resistance pattern among A.baumannii isolated from burn center hospitals indicates the important role of multidrug resistant isolates.
Herding and Software Adoption: A Re-Examination Based on Post-Adoption Software Discontinuance

ABSTRACT Informational cascades are theorized as an underlying mechanism of herding. That is, an individual, having observed the actions of those ahead of him/her, chooses to follow the behavior of the preceding individuals even though his/her private information suggests other options. Empirical identification of informational cascades is challenging because individual users’ private information is unobservable. Our study utilizes a unique data set on post-adoption discontinuance of app usage to revisit herding and informational cascades in software adoption. We find that with the download of apps being controlled, a higher software ranking is associated with more post-adoption discontinuance of app usage, which empirically illustrates the decision deficiency of following others’ observed behavior in adopting popular software apps and supports the theoretical perspective of informational cascades. We further show that the association between app ranking and post-adoption discontinuance is stronger for apps with higher ratings and with higher complexity levels. Moreover, as apps become more complex in the app life cycle, updated app versions with a higher level of complexity are associated with a weaker relationship between app ranking and post-adoption discontinuance. Our study contributes to the literature by confirming the informational cascades effect and its interaction with other informational mechanisms (e.g., user rating) and software internal feature (e.g., product complexity) in software adoption. The findings help software vendors gain insights in users’ herding behavior in software adoption and optimize their software releasing strategies and promotional effort allocation.
Erratum to: Two novel chromosomal loci influence cultivar-specific nodulation failure in the interaction between strain ANU794 and subterranean clover cv. Woogenellup.

The nodulation failure resulting from the interaction between Rhizobium leguminosarum biovar trifolii strain ANU794 and the Trifolium subterraneum cv. Woogenellup was examined by transposon mutagenesis to resolve whether multiple determinants were involved in cultivar-specificity. Three new transposon-induced mutants of ANU794 (W72, W78 and W710) with significantly enhanced nodulation ability on cv. Woogenellup were identified. The W72 and W78 mutations are chromosomally-located, whereas the W710 mutation isplasmid-located. The ethylene synthesis inhibitor, aminoethoxyvinylglycine, fails to enhance the nodulation ability of ANU794, ANU7943 (csn1::Tn5) and W78 on cv. Woogenellup, but enhances the nodulation ability of W72,W710 and ANU7941 (nodM::Tn5). DNA sequencing of the W78 locus reveals strong homology to an unknown Mycobacterium open reading frame, and to several bacterial non-haem chloroperoxidases. The previously identified csn1 locus showed homology to the 50S ribosomal protein, L9, with the Tn5 insertion being located in the 5'-untranslated region. The results suggest that cultivar-specificity is mediated by at least two independent mechanisms or determinants, and not by a simple gene-for-gene interaction. The role of ethylene in cultivar specificity is discussed. Cultivar-specific interactions may prove useful in identifying pathways involved in efficient nodule formation and plant-microbe interactions.
Idea Convergence Quality in Open Innovation Crowdsourcing: A Cognitive Load Perspective

ABSTRACT Open innovation crowdsourcing enables online crowds to quickly generate a plethora of creative ideas. A key challenge is the convergence of ideas for further consideration from massive numbers of candidate ideas with diverse quality. Based on Cognitive Load Theory, we executed a laboratory experiment to test the associations between three types of cognitive load manipulations and idea convergence outcomes. Our findings show that germane cognitive load positively correlates with idea convergence quality, satisfaction with process, and satisfaction with outcome. Intrinsic cognitive load is negatively associated with satisfaction with process and satisfaction with outcome, while extraneous cognitive load negatively correlates only with satisfaction with outcome. We further identified the positive moderation role of knowledge self-efficacy, perceived goal clarity, and need for cognition on the relationships between germane cognitive load and idea convergence quality. Our findings can inform open innovation organizers when designing tasks and interventions to improve convergence outcomes.
Model Calibration with Machine Learning

This dissertation focuses on the application of neural networks to financial model calibration. It provides an introduction to the mathematics of basic neural networks and training algorithms. Two simplified experiments based on the Black-Scholes and constant elasticity of variance models are used to demonstrate the potential usefulness of neural networks in calibration. In addition, the main experiment features the calibration of the Heston model using model-generated data. In the experiment, we show that the calibrated model parameters reprice a set of options to a mean relative implied volatility error of less than one per cent. The limitations and shortcomings of neural networks in model calibration are also investigated and discussed.
Factors determining the centrifugal organization of remnant Festuca grassland communities in Alberta

This paper describes the species composition of remnant grasslands in the aspen parkland region of Alberta and its relation to soil characteristics and small-scale disturbance. Our findings are consistent with the centrifugal model of communities with Festuca hallii dominating undisturbed ‘core’ habitat and the composition of more ‘peripheral’ habitats varying in soil properties and in the magnitude of disturbance. Invasive non-native species are not present in the core habitat and are present only in the disturbed sites, most abundantly in those with the highest soil nitrogen. The centrifugal model, as it applies to these remnant grasslands, differs from its previous application to wetlands and forests in that the core communities are not on the most fertile sites, but on the least disturbed. These findings have implications for the management of prairie remnants to exclude invasive exotic species.
Mechanism of LIGHT/interferon‐γ‐induced cell death in HT‐29 cells

LIGHT is a member of tumor necrosis factor (TNF) superfamily, and previous studies have indicated that in the presence of interferon‐γ (IFN‐γ), LIGHT through LTβR signaling can induce cell death with features unlike classic apoptosis. In present study, we investigated the mechanism of LIGHT/IFN‐γ‐induced cell death in HT‐29 cells, where the cell death was profoundly induced when sub‐toxic concentrations of LIGHT and IFN‐γ were co‐treated. LIGHT/IFN‐γ‐induced cell death was accompanied by DNA fragmentation and slight LDH release. This effect was not affected by caspase, JNK nor cathepsin B inhibitors, but was partially prevented by p38 mitogen‐activated protein kinase (MAPK) and poly (ADP‐ribose) polymerase (PARP) inhibitors, and abolished by aurintricarboxylic acid (ATA), which is an inhibitor of endonuclease and STATs signaling of IFN‐γ. Immunobloting reveals that LIGHT/IFN‐γ could induce p38 MAPK activity, Bak and Fas expression, but down‐regulate Mcl‐1. Besides, LIGHT/IFN‐γ could not activate caspase‐3 and ‐9, but decreased mitochrondrial membrane potential. Although LIGHT could not affect IFN‐γ‐induced STAT1 phosphorylation and transactivation activity, which was required for the sensitization of cell death, survival NF‐κB signaling of LIGHT was inhibited by IFN‐γ. These data suggest that co‐presence of LIGHT and IFN‐γ can induce an integrated interaction in signaling pathways, which lead to mitochondrial dysfunction and mix‐type cell death, not involving caspase activation. © 2004 Wiley‐Liss, Inc.
A Novel Recommendation Model for Online-to-Offline Service Based on the Customer Network and Service Location

ABSTRACT We propose a new online-to-offline (O2O) service recommendation method based on a novel customer network and service location (CNLRec) in order to help customer to choose the “ideal” O2O services from a large set of alternatives. Our customer network, based on the “co-used” behaviors obtained from the online rating matrix, captures customers’ online behaviors while service location reflects offline behavior characteristic of the customer. For a target customer, a ranking of candidate services based on their locations and this network is generated, in which customer scale usage bias is eliminated. Our experimental results show that: First, even though the rating matrix is sparse, most customers are connected to our proposed customer network, which largely addresses the problem of sparse data. Second, CNLRec outperforms widely-used and state-of-the-art recommendation methods. In addition, e-commerce recommendations that use CNLRec without including item location information (CNRec) has better performance than existing methods. Third, all attributes in CNLRec, including network attributes (relationship degree and customer attribute) and location attributes, play a significant role in recommendations. Specially, O2O service location plays an important role in O2O service selection. In our research, we find the optimal combinations of these attributes.
Psychosocial factors associated with symptoms of generalized anxiety disorder in general practitioners during the COVID-19 pandemic

Healthcare providers commonly experience symptoms of anxiety during public health crises and pandemics. The objective of the study was to identify the frequency of symptoms of generalized anxiety disorder (GAD) in general practitioners and to estimate the association with particular psychosocial and demographic factors. This is a cross-sectional study, where a total of 531 general practitioners completed an online form that contained sociodemographic variables, questions about fear and perceptions concerning medical work during the COVID-19 pandemic, 7-Item Generalized Anxiety Disorder Scale (GAD-7), questionnaire on psychosomatic problems and Fear of COVID-19 Scale. The presence of symptoms of GAD was defined by a GAD-7 score of 10 or more points. Voluntary and anonymous participation, acceptance of terms, and informed consent were requested. A p value of <0.05 was considered statistically significant. Symptoms of GAD were identified in 4 out of 10 Colombian general practitioners; the following psychosocial and demographic factors were associated with a greater presence of these symptoms: female gender, social discrimination, anguish, job disappointment, nightmares, stress and other symptoms of fear regarding the pandemic. Conversely, feeling protected by the state or employer, being satisfied with their job as a physician, and trusting government measures and information were associated with a lower presence of symptoms of GAD. These findings highlight the importance of timely psychotherapeutic and psychopharmacological interventions in these individuals. The authors suggest mental health providers should be deployed during times of crisis to decrease the risk of developing mental illness.
Effects of a Self-Fed Pelleted Mixture of Hay and Calf Starter on the Performance of Young Dairy Calves

Abstract Newborn calves fed milk and a self-fed pelleted (.95-cm die) mixture of three parts calf starter and one part ground suncured alfalfa hay consumed significantly more feed and gained more weight than calves fed milk, starter, and hay separately in the conventional manner. Results were similar when the experiment was repeated with a . 48-cm pellet; calves preferred the pellet having the smaller diameter. In a third experiment the self-fed pelleted mixture containing 22% protein was compared with one containing 18% protein. Calves receiving the 22% protein mixture gained more than those receiving the 18% protein mixture. There was no difference between groups in feed intake.
Microcystin concentrations and cell quotas in Saginaw Bay, Lake Huron

Distribution of the toxin microcystin was studied in Saginaw Bay, Lake Huron during two summer (August) cruises in 2003–2004. Intracellular microcystin concentrations averaged 1.1 μ g l− 1 (range 0.01–3.5 μ g l− 1), and extracellular concentrations averaged only 0.09 μ g l− 1 (range 0.01–0.18 μ g l− 1). Highest microcystin concentrations were found in the nearshore regions of the bay, which were shallow and had high total phosphorus concentrations. Microcystin concentrations were strongly correlated with Microcystis aeruginosa abundance (r = 0.8). M. aeruginosa abundance was strongly correlated with total phosphorus, and growth rates were negatively correlated with C:P ratio. Particulate nutrient ratios suggested that Saginaw Bay algae were severely phosphorus deficient. Microcystin cell quotas for M. aeruginosa averaged 140 fg cell− 1, and were not correlated with any environmental factor or growth rates. In Saginaw Bay, phosphorus availability primarily influences microcystin concentrations through direct control of M. aeruginosa abundance and growth rates, and not through direct control of cellular microcystin synthesis.
Medication therapy strategies for the coronavirus disease 2019 (COVID-19): recent progress and challenges

ABSTRACT Introduction The coronavirus disease 2019 (COVID-19) pandemic has spread globally since it outbroke in December 2019. The urgent pandemic presents an unprecedented challenge to develop and identify effective medication therapy strategies to combat the COVID-19. Areas covered Here, we summarized and evaluated the current treatment drugs and regimens, and put forward the treatment recommendations, including using the potential repurposed or experimental drugs against COVID-19, e.g. chloroquine (CQ), hydroxychloroquine (HCQ), lopinavir/ritonavir (LPV/r), remdesivir (RDV), and favipiravir (FPV). We also analyzed the specific drugs and vaccines against SARS-CoV-2 ongoing development and formulated the comprehensive treatment regimens based on condition of patients, diseases and drugs as well as concomitant medications. Expert opinion No drugs and vaccines have been proven to be particularly effective against SARS-CoV-2 up to now. The recommended comprehensive medication therapy strategies have already displayed favorable effect in the fight against COVID-19. Research should be focused on the development of anti-SARS-CoV-2 drugs and vaccines based on high-quality clinical trial evidence, treatment guidelines and expert consensus.
Distinct early symptoms in neuropathologically proven frontotemporal lobar degeneration

Frontotemporal lobar degeneration (FTLD) is associated with accumulation of neurodegeneration‐related protein, such as tau, TAR DNA‐binding protein 43 (TDP‐43), or fused in sarcoma protein (FUS). There have been very few systematic studies of the early symptoms of clinical phenotypes: behavioral variant frontotemporal dementia (bvFTD), semantic variant primary progressive aphasia (svPPA). Clinical subtypes and the patterns of atrophy reflect protein‐accumulation patterns, but the relationship between early symptoms and pathological findings remains unclear.