Miracle-dz/UniFAR-FTUs huggingface dataset:
Survey of Vibrio cholerae O1 and its survival over the winter in marine water of Port of Osaka

The survey of Vibrio cholerae O1 in marine area was carried out in the Port of Osaka, Japan in 1987–2001, and 51 V. cholerae O1 strains were isolated. All strains were identified to be of El Tor biotype, Ogawa serotype and classic Ubon Kappa-phage type, and were cholera toxin (CT)-negative and CT gene-negative. In order to clarify certain ecological aspects of V. cholerae O1 in the marine environment of the temperate zone, we performed molecular analysis of the isolated strains using pulsed-field gel electrophoresis (PFGE) with NotI and SfiI restriction enzymes. We found the indistinguishable strains by DNA analysis using PFGE with strains passed for 1 year, and also found the closely related strains with that passed for 3 and 12 years. Those results indicated that V. cholerae O1 can survive over one winter at least, and that it survives in marine water for a long time by undergoing continuous mutation.
Aspects of formation control for swarm robots

Despite the increasing capabilities and effectiveness of highly autonomous robots, there are still situations where one entity is not sufficient. Escorting and tracking are typical situations, where more robots can be more efficient. In this paper we will present a completely distributed algorithm for tracing moving objects in formation by using homogenous, medium scaled swarm robots based on local sensing and interactions. We have adopted and extended approaches from the already known concept of basis behaviors as ubiquitous general building blocks for synthesizing artificial group behavior, while adding communication capabilities to the system. We will present our experiments by introducing our virtual simulation environment.
Social Support and Experimental Pain

Objective The purpose of this experimental study was to supplement and expand on clinical research demonstrating that the provision of social support is associated with lower levels of acute pain. Methods Undergraduates (52 men and 49 women) performed the cold pressor task either alone or accompanied by a friend or stranger who provided active support, passive support, or interaction. Pain perception was measured on a 10-point scale. Results Participants in the active support and passive support conditions reported less pain than participants in the alone and interaction conditions, regardless of whether they were paired with a friend or stranger. Conclusions These data suggest that the presence of an individual who provides passive or active support reduces experimental pain.
Local4Global Adaptive Optimization and control for System-of-Systems

Over the recent past years research effort has been dedicated towards addressing a generic solution in System of Systems (SoS) control problems. Two are the main obstacles that have to be bypassed in such problem cases, especially in real life applications, rendering the optimization problem into a complicated/challenging one: (i) modelling/simulation tools are usually used in order to construct an as-close-as-possible to reality accurate model, whose construction though requires a considerable amount of time and effort and (ii) furthermore, standard control system designs when applied to SoS exhibit poor performance as they are required to handle very high-dimensional problems. In this paper, we present a first attempt towards addressing these issues. More precisely, a new adaptive optimal control methodology is presented and evaluated. The main attributes of the proposed control methodology is its local nature with minimum requirements for coordination between the constituent system of the SoS and its model-free nature.
Mapping social entrepreneurship in Germany - a quantitative analysis

This paper presents data from an online survey of 244 social entrepreneurial organisations in Germany. Quantitative studies of this kind are still relatively rare in social entrepreneurship research. In part, this dearth may be due to a lack of agreement on definition criteria. Therefore, this paper first discusses definition criteria that emerge from major schools of thought in the field - earned income, innovativeness, and democratic governance - as well as sampling techniques used in previous quantitative studies of social ventures. After briefly describing our bottom up sampling approach, the paper discusses the key findings of the survey. The data suggest that most, but not all, social entrepreneurial organisations surveyed are young and small in terms of income and employees. We also found that social entrepreneurial organisations rely on a range of income sources. Although most organisations showed a regional scope, they reported intent to scale operations. We discuss our results in the context of German welfare structures and offer some conclusions on quantitative studies of social entrepreneurship.
The Impact of Sustained Attention on Labor Market Outcomes: The Case of Ghana

In this paper, we go beyond measures of cognitive abilities (IQ) in explaining labor market and social outcomes in developing countries. We exploit a rich dataset from Ghana that provides information on demographics, labor market outcomes, and a direct measure of cognitive ability along with other test scores to construct a measure of sustained attention. Our work is therefore related to the broader literature in Psychology on the importance of executive function on individual behavior and outcomes. We find that, at least for the case of Ghana, after controlling for IQ and other covariates, higher levels of sustained attention are associated with higher annual income, higher education and a higher likelihood of being employed in a white collar job.
The Spanish Translation and Adaptation of the Uniform Data Set of the National Institute on Aging Alzheimer's Disease Centers

Researchers from Alzheimer's Disease Centers (ADCs) across the United States with expertise in the assessment of Spanish-speaking elderly collaborated to create the official Spanish version of measures in the Uniform Data Set of the National Institute on Aging Alzheimer's Disease Center Program. The present article describes this project, whose primary goal was to create Spanish instruments with cultural and linguistic equivalence to the English versions. The resulting Spanish versions make provisions for variations among Spanish-speaking groups in the United States of different nationalities, socio-cultural, linguistic, and educational backgrounds. A consensus-based translation and adaptation approach was used, and guiding principles and specific components of this process are summarized. The Spanish translation and adaptation of the Uniform Data Set measures became available online to ADCs in April 2007. Its creation is important, as the resulting effort provides standardized measures for the collection of cross-sectional and longitudinal data on a large cohort of Spanish-speaking elders across the country and facilitates collaborative research among ADCs.
ABIN-1 Negatively Regulates μ-Opioid Receptor Function

The μ-opioid receptor (MOR) is a Gi/o protein-coupled receptor that mediates analgesic, euphoric, and reward effects. Using a bacterial two-hybrid screen, we reported that the carboxyl tail of the rat MOR associates with A20-binding inhibitor of nuclear factor κB (ABIN-1). This interaction was confirmed by direct protein-protein binding and coimmunoprecipitation of MOR and ABIN-1 proteins in cell lysates. Saturation binding studies showed that ABIN-1 had no effect on MOR binding. However, the interaction of ABIN-1 and MOR inhibited the activation of G proteins induced by DAMGO ([d-Ala2,N-Me-Phe4,Gly5-ol]-Enkephalin). MOR phosphorylation, ubiquitination, and internalization induced by DAMGO were decreased in Chinese hamster ovary cells that coexpressed MOR and ABIN-1. The suppression of forskolin-stimulated adenylyl cyclase by DAMGO was also inhibited by the interaction of ABIN-1 with MOR. In addition, extracellular signal-regulated kinase activation was also negatively regulated by overexpression of ABIN-1. These data suggest that ABIN-1 is a negative coregulator of MOR activation, phosphorylation, and internalization in vitro. ABIN-1 also inhibited morphine-induced hyperlocomotion in zebrafish larvae (AB strain). By utilization of an antisense morpholino oligonucleotide (MO) gene knockdown technology, the ABIN-1 MO-injected zebrafish larvae showed a significant increase (approximately 60%) in distance moved compared with control MO-injected larvae after acute morphine treatment (P < 0.01). Taken together, ABIN-1 negatively regulates MOR function in vitro and in vivo.
Identification of dengue viral RNA-dependent RNA polymerase inhibitor using computational fragment-based approaches and molecular dynamics study

Dengue is a major public health concern in tropical and subtropical countries of the world. There are no specific drugs available to treat dengue. Even though several candidates targeted both viral and host proteins to overcome dengue infection, they have not yet entered into the later stages of clinical trials. In order to design a drug for dengue fever, newly emerged fragment-based drug designing technique was applied. RNA-dependent RNA polymerase, which is essential for dengue viral replication is chosen as a drug target for dengue drug discovery. A cascade of methods, fragment screening, fragment growing, and fragment linking revealed the compound [2-(4-carbamoylpiperidin-1-yl)-2-oxoethyl]8-(1,3-benzothiazol-2-yl)naphthalene-1-carboxylate as a potent dengue viral polymerase inhibitor. Both strain energy and binding free energy calculations predicted that this could be a better inhibitor than the existing ones. Molecular dynamics simulation studies showed that the dengue polymerase–lead complex is stable and their interactions are consistent throughout the simulation. The hydrogen-bonded interactions formed by the residues Arg792, Thr794, Ser796, and Asn405 are the primary contributors for the stability and the rigidity of the polymerase–lead complex. This might keep the polymerase in closed conformation and thus inhibits viral replication. Hence, this might be a promising lead molecule for dengue drug designing. Further optimization of this lead molecule would result in a potent drug for dengue.
Trace element levels and cognitive function in rural elderly Chinese.

BACKGROUND Trace elements are involved in metabolic processes and oxidation-reduction reactions in the central nervous system and could have a possible effect on cognitive function. The relationship between trace elements measured in individual biological samples and cognitive function in an elderly population had not been investigated extensively. METHODS The participant population is part of a large cohort study of 2000 rural elderly Chinese persons. Six cognitive assessment tests were used to evaluate cognitive function in this population, and a composite score was created to represent global cognitive function. Trace element levels of aluminum, calcium, cadmium, copper, iron, lead, and zinc were analyzed in plasma samples of 188 individuals who were randomly selected and consented to donating fasting blood. Analysis of covariance models were used to assess the association between each trace element and the composite cognitive score adjusting for demographics, medical history of chronic diseases, and the apolipoprotein E (APOE) genotype. RESULTS Three trace elements-calcium, cadmium, and copper-were found to be significantly related to the composite cognitive score. Increasing plasma calcium level was associated with higher cognitive score (p <.0001). Increasing cadmium and copper, in contrast, were significantly associated with lower composite score (p =.0044 and p =.0121, respectively). Other trace elements did not show significant association with the composite cognitive score. CONCLUSIONS Our results suggest that calcium, cadmium, and copper may be associated with cognitive function in the elderly population.
CCR5 Receptor Occupancy Analysis Reveals Increased Peripheral Blood CCR5+CD4+ T Cells Following Treatment With the Anti-CCR5 Antibody Leronlimab

CCR5 plays a central role in infectious disease, host defense, and cancer progression, thereby making it an ideal target for therapeutic development. Notably, CCR5 is the major HIV entry co-receptor, where its surface density correlates with HIV plasma viremia. The level of CCR5 receptor occupancy (RO) achieved by a CCR5-targeting therapeutic is therefore a critical predictor of its efficacy. However, current methods to measure CCR5 RO lack sensitivity, resulting in high background and overcalculation. Here, we report on two independent, flow cytometric methods of calculating CCR5 RO using the anti-CCR5 antibody, Leronlimab. We show that both methods led to comparable CCR5 RO values, with low background on untreated CCR5+CD4+ T cells and sensitive measurements of occupancy on both blood and tissue-resident CD4+ T cells that correlated longitudinally with plasma concentrations in Leronlimab-treated macaques. Using these assays, we found that Leronlimab stabilized cell surface CCR5, leading to an increase in the levels of circulating and tissue-resident CCR5+CD4+ T cells in vivo in Leronlimab-treated macaques. Weekly Leronlimab treatment in a chronically SIV-infected macaque led to increased CCR5+CD4+ T cells levels and fully suppressed plasma viremia, both concomitant with full CCR5 RO on peripheral blood CD4+ T cells, demonstrating that CCR5+CD4+ T cells were protected from viral replication by Leronlimab binding. Finally, we extended these results to Leronlimab-treated humans and found that weekly 700 mg Leronlimab led to complete CCR5 RO on peripheral blood CD4+ T cells and a statistically significant increase in CCR5+CD4+ T cells in peripheral blood. Collectively, these results establish two RO calculation methods for longitudinal monitoring of anti-CCR5 therapeutic antibody blockade efficacy in both macaques and humans, demonstrate that CCR5+CD4+ T cell levels temporarily increase with Leronlimab treatment, and facilitate future detailed investigations into the immunological impacts of CCR5 inhibition in multiple pathophysiological processes.
Antenna tuning for wearable wireless sensors

When miniaturized wireless sensors are placed on or close to the human body, they can experience a significant loss in performance due to antenna detuning, resulting in degradation of wireless performance as well as decreased battery lifetime. Several antenna tuning technologies have been proposed for mobile wireless devices but devices suitable for widespread integration have yet to emerge. This paper highlights the possible advantages of antenna tuning for wearable wireless sensors and presents the design and characterization of a prototype 433MHz tuner module‥
Determinants of Heterogeneous Adherence to HIV‐Antiretroviral Therapies in the Multicenter AIDS Cohort Study

Summary: Assessment of adherence to HIV antiretroviral therapy (ART) is required for studying therapeutic effectiveness and identifying subgroups needing focused education. The study's goals were to describe the level of ART adherence using selfreported recall over a 4‐day period and to characterize determinants of lower adherence. The interaction between adherence and drug holidays on level of HIV RNA also was investigated. Perfect self‐reported adherence was defined as taking all doses and numbers of pills as prescribed for current HIV medications. Independent predictors of <100% adherence were determined using multivariate logistic regression. Among 539 men, 419 (77.7%) were 100% adherent by the algorithm using self‐reported data. HIV‐1 RNA was <50 copies/ml in 48.2% of the adherent group versus 33.7% in the less adherent group (p = .015). This proportion dropped to 28% if a drug holiday was reported in addition to lower adherence. A drug holiday was not virologically detrimental if the participant was otherwise adherent. Determinants of lower adherence included African American race (odds ratio [OR], 2.4; p = .008), income <U.S.$50,000 (OR, 2.2; p = .002), no outpatient visits (OR, 3.6; p = .003) and increasing numbers of ART medications (OR, 4.5; p = .001). These data support the validity of using a questionnaire to assess adherence in observational studies. Identification of individuals with characteristics associated with lower adherence provides the basis for interventions to enhance adherence and optimize effective therapies.
The influence of hyperglycemia during radiotherapy on survival in patients with primary glioblastoma

Background and purpose. Metabolism in tumor cells depends mainly on glycolysis and thus hyperglycemia has been shown to influence tumor properties in various tumor entities. In this retrospective study we set out to determine if hyperglycemic serum levels during radiation therapy impact patient survival and progression patterns in primary glioblastoma (GBM). Material and methods. We retrospectively analyzed glucose serum levels, survival and progression patterns on magnetic resonance imaging (MRI) in 262 GBM patients receiving radiation therapy. Hyperglycemia was classified as mild (> 180 mg/dL) or excessive (≥ 300 mg/dL), and isolated (one hyperglycemic event) or persistent (≥ 3 hyperglycemic events). The multivariate Cox proportional hazards ratio was used to assess the influence of cofactors on survival. Results. Persistent mild (HR = 2.23; p < 0.001) and excessive hyperglycemia (HR = 2.51; p < 0.001) were associated with a decrease in overall survival rates, even when considering the covariate corticosteroid therapy. Here metabolic imbalances did not affect the progression-free interval (p = 0.402), the occurrence of distant (p = 0.587) and multifocal progression (p = 0.445). Conclusion. Our findings support the theory that hyperglycemia during radiation therapy in GBM patients is an unfavorable prognostic cofactor for survival and is detrimental to the survival rates independent of corticosteroid therapy. However, no significant effects of hyperglycemic metabolism on the progression-free interval and recurrence patterns were found.
Antecedents of the Attitudes Toward Singlehood Among Young Adults in Malaysia, Japan, and India

With both theories and empirical studies supporting the benefits of having a romantic relationship, there remains an increasing tendency of staying single being documented globally. It is thus important to understand the antecedent factors of such voluntary single movement. Guided by the Investment Model of Commitment (IMC) process, the roles of subjective socioeconomic status (SSES), relational mobility, and desirability of control in attitudes toward singlehood were investigated. A total of 1,108 undergraduate students from Malaysia (n=444), Japan (n=316), and India (n=348) answered an online survey consisting of the Attitudes toward Singlehood Scale, MacArthur Scale of SSES, Relational Mobility Scale, Desirability of Control Scale, Mini-Social Phobia Inventory, and Single Item Narcissism Scale. Hierarchical multiple regression analysis showed a persistent positive relationship between desirability of control, but not socioeconomic status and relational mobility, with attitudes toward singlehood, even after statistically excluding the effects of social anxiety and narcissism. A similar pattern was also observed among those who were currently single. Moreover, an interaction effect of socioeconomic status and relational mobility was found in further exploratory analysis. The results highlight that retaining the autonomy and flexibility of managing one’s own life and financial concern are the key reasons young adults prefer staying single to engaging in a romantic relationship. Implications and recommendations for future research are also presented in this study.
Pricing options on illiquid assets with liquid proxies using utility indifference and dynamic-static hedging

This work addresses the problem of optimal pricing and hedging of a European option on an illiquid asset Z using two proxies: a liquid asset S and a liquid European option on another liquid asset Y. We assume that the S-hedge is dynamic while the Y-hedge is static. Using the indifference pricing approach, we derive a Hamilton–Jacobi–Bellman equation for the value function. We solve this equation analytically (in quadrature) using an asymptotic expansion around the limit of perfect correlation between assets Y and Z. While in this paper we apply our framework to an incomplete market version of Merton’s credit-equity model, the same approach can be used for other asset classes (equity, commodity, FX, etc.), e.g. for pricing and hedging options with illiquid strikes or illiquid exotic options.
Library Construction from Subnanogram DNA for Pelagic Sea Water and Deep-Sea Sediments

Shotgun metagenomics is a low biased technology for assessing environmental microbial diversity and function. However, the requirement for a sufficient amount of DNA and the contamination of inhibitors in environmental DNA leads to difficulties in constructing a shotgun metagenomic library. We herein examined metagenomic library construction from subnanogram amounts of input environmental DNA from subarctic surface water and deep-sea sediments using two library construction kits: the KAPA Hyper Prep Kit and Nextera XT DNA Library Preparation Kit, with several modifications. The influence of chemical contaminants associated with these environmental DNA samples on library construction was also investigated. Overall, shotgun metagenomic libraries were constructed from 1 pg to 1 ng of input DNA using both kits without harsh library microbial contamination. However, the libraries constructed from 1 pg of input DNA exhibited larger biases in GC contents, k-mers, or small subunit (SSU) rRNA gene compositions than those constructed from 10 pg to 1 ng DNA. The lower limit of input DNA for low biased library construction in this study was 10 pg. Moreover, we revealed that technology-dependent biases (physical fragmentation and linker ligation vs. tagmentation) were larger than those due to the amount of input DNA.
Using Electricity Market Analytics to Reduce Cost and Environmental Impact

In recent years, energy consumption has become a major issue in terms of cost, infrastructure requirements and emissions. In deregulated markets electricity prices, renewable energy contribution and emissions can vary substantially from hour to hour. These temporal variations introduce significant opportunities for any flexible energy consumer. A granular analysis of the Irish electricity market for the first four months of 2012 showed the large variations characteristic of deregulated electricity markets - the spot price spiked up to 985% of the average price, marginal emissions varied by up to 55% and renewable energy generation had a standard deviation of 11.78%. Strong correlations are observed between renewable generation and market prices - market prices reduced significantly with increased wind generation. Utilising intelligence and awareness of these market and grid fluctuations allows the delivery of products/services at much more favorable conditions - reducing costs, reducing emissions and increasing renewable energy content are all possible. The aim of the research described in this paper is the development of algorithms which take advantage of variability observed in electricity markets to reduce the costs and emissions of services, and provide a way for service operators to insulate themselves against turbulent market conditions.