Miracle-dz/UniFAR-FTUs huggingface dataset:
Fat oxidation before and after a high fat load in the obese insulin-resistant state.

BACKGROUND Obesity may be associated with a lowered use of fat as a fuel, which may contribute to the enlarged adipose tissue stores. AIM The aim of the present study was to study fatty acid use in the fasting state and in response to a high fat load in a large cohort of obese subjects (n = 701) and a lean reference group (n = 113). METHODS Subjects from eight European centers underwent a test meal challenge containing 95 en% fat [energy content 50% of estimated resting energy expenditure (EE)]. Fasting and postprandial fat oxidation and circulating metabolites and hormones were determined over a 3-h period. RESULTS Postprandial fat oxidation (as percent of postprandial EE, adjusted for fat mass, age, gender, center, and energy content of the meal) decreased with increasing body mass index (BMI) category (P < 0.01), an effect present only in those obese subjects with a relatively low fasting fat oxidation (below median, interaction BMI category x fasting fat oxidation, P < 0.001). Fasting fat oxidation increased with increasing BMI category (P < 0.001), which was normalized after adjustment for fat-free mass and fat mass. Furthermore, insulin resistance was positively associated with postprandial fat oxidation (P < 0.05) and negatively associated with fasting fat oxidation (expressed as percent of EE), independent of body composition. CONCLUSIONS The present data indicate an impaired capacity to regulate fat oxidation in the obese insulin-resistant state, which is hypothesized to play a role in the etiology of both obesity and insulin resistance.
Mutant identification and characterization of the laccase gene family in Arabidopsis.

Laccases, EC 1.10. 3.2 or p-diphenol:dioxygen oxidoreductases, are multi-copper containing glycoproteins. Despite many years of research, genetic evidence for the roles of laccases in plants is mostly lacking. In this study, a reverse genetics approach was taken to identify T-DNA insertional mutants (the SALK collection) available for genes in the Arabidopsis laccase family. Twenty true null mutants were confirmed for 12 laccase genes of the 17 total laccase genes (AtLAC1 to AtLAC17) in the family. By examining the mutants identified, it was found that four mutants, representing mutations in three laccase genes, showed altered phenotypes. Mutants for AtLAC2, lac2, showed compromised root elongation under PEG-induced dehydration conditions; lac8 flowered earlier than wild-type plants, and lac15 showed an altered seed colour. The diverse phenotypes suggest that laccases perform different functions in plants and are not as genetically redundant as previously thought. These mutants will prove to be valuable resources for understanding laccase functions in vivo.
A Tale of Two Cities: Aleppo and Istanbul

There are 7.6 million internally displaced persons (IDPs) in Syria, and an additional 5 million people have taken refuge in Syria’s immediate neighbourhood: Turkey, Lebanon, Jordan and Iraq. Among these countries, due to its open border policy, Turkey has received the largest number of Syrian refugees. As of 31 August 2016, there are more than 3 million Syrian refugees in Turkey. This article will concentrate on the findings of a recent qualitative and quantitative study conducted among Syrian refugees in Istanbul, with a particular focus on their strong attachment to this city. I shall claim that historical, cultural and religious forms of affinity are likely to particularly attach the Sunni-Muslim-Arab-Syrians originating from Aleppo province to Istanbul. This article is expected to contribute to the discipline of Refugee Studies by shedding light on the historical and human elements, which are often the missing elements in such analysis.
Determining the Preferred Percent-Predicted Equation for Peak Oxygen Consumption in Patients With Heart Failure

Background—Peak oxygen consumption (Vo2) is routinely assessed in patients with heart failure undergoing cardiopulmonary exercise testing. The purpose of the present investigation was to determine the prognostic ability of several established peak Vo2 prediction equations in a large heart failure cohort. Methods and Results—One thousand one hundred sixty-five subjects (70% males; age, 57.0±13.8 years; ischemic etiology, 43%) diagnosed with heart failure underwent cardiopulmonary exercise testing. Percent-predicted peak Vo2 was calculated according to normative values proposed by Wasserman and Hansen (equation), Jones et al (equation), the Cooper Clinic (below low fitness threshold), a Veteran’s Administration male referral data set (4 equations), and the St James Take Heart Project for women (equation). The prognostic significance of percent-predicted Vo2 values derived from the 2 latter, sex-specific equations were assessed collectively. There were 179 major cardiac events (117 deaths, 44 heart transplantations, and 18 left ventricular assist device implantations) during the 2-year tracking period (annual event rate, 10%). Measured peak Vo2 and all percent-predicted peak Vo2 calculations were significant univariate predictors of adverse events (&khgr;2≥31.9, P<0.001) and added prognostic value to ventilatory efficiency (VE/Vco2 slope), the strongest cardiopulmonary exercise testing predictor of adverse events (&khgr;2=150.7, P<0.001), in a multivariate regression. The Wasserman/Hansen prediction equation provided optimal prognostic information. Conclusions—Actual peak Vo2 and the percent-predicted models included in this analysis all were significant predictors of adverse events. It seems that the percent-predicted peak Vo2 value derived from the Wasserman/Hansen equations may outperform other expressions of this cardiopulmonary exercise testing variable.
Understanding the Spanish Business Innovation Gap: The Role of Spillovers and Firms’ Absorptive Capacity

This paper investigates whether the existence of knowledge spillovers, differences in the capacity of f rms to assimilate them and disparities in some human resource management practices are related with the decision to innovate of Spanish f rms. In order to do this, we employ data from the “Central de Balances” database, which covers both manufacturing and services f rms during the period 2003-2007, and use an estimator proposed by Wooldridge (2005) for dynamic random effects discrete choice models. The empirical exercise provides evidence on the positive link between spillovers and the innovative behaviour of companies, not just for the knowledge generated in the same industry, but also for that generated in the same region or by the public sector. Moreover, this link is stronger for those f rms with a higher capacity to absorb those spillovers. This ability not only works through f rms’ R&D capabilities, but also through such factors as the quality of the labour force, the share of temporary employment and the amount of resources spent in training. In addition to these factors, we f nd that innovation performance exhibits a high degree of inertia. Further, some other observed f rm characteristics, such as size, sales growth, export behaviour, sector capital intensity or f nancial structure variables, are also found to be relevant determinants of the likelihood of innovation.
Grammar Extraction from Treebanks for Hindi and Telugu

Grammars play an important role in many Natural Language Processing (NLP) applications. The traditional approach to creating grammars manually, besides being labor-intensive, has several limitations. With the availability of large scale syntactically annotated treebanks, it is now possible to automatically extract an approximate grammar of a language in any of the existing formalisms from a corresponding treebank. In this paper, we present a basic approach to extract grammars from dependency treebanks of two Indian languages, Hindi and Telugu. The process of grammar extraction requires a generalization mechanism. Towards this end, we explore an approach which relies on generalization of argument structure over the verbs based on their syntactic similarity. Such a generalization counters the effect of data sparseness in the treebanks. A grammar extracted using this system can not only expand already existing knowledge bases for NLP tasks such as parsing, but also aid in the creation of grammars for languages where none exist. Further, we show that the grammar extraction process can help in identifying annotation errors and thus aid in the task of the treebank validation.
A Critical View of Current State of Phytotechnologies to Remediate Soils: Still a Promising Tool?

Phytotechnologies are often shown as an emerging tool to remediate contaminated soils. Research in this field has resulted in many important findings relating to plant and soil sciences. However, there have been scant private and public investments and little commercial success with this technology. Here, we investigate the barriers to the adoption of phytotechnologies and determine whether it is still a fertile area for future research. The terminology used in phytotechnologies includes a confusing mish-mash of terms relating to concepts and processes increasing the difficulty of developing a unique commercial image. We argue that the commercial success of phytotechnologies depends on the generation of valuable biomass on contaminated land, rather than a pure remediation technique that may not compare favourably with the costs of inaction or alternative technologies. Valuable biomass includes timber, bioenergy, feedstock for pyrolosis, biofortified products, or ecologically important species.
Automatic Synthesis of New Behaviors from a Library of Available Behaviors

We consider the problem of synthesizing a fully controllable target behavior from a set of available partially controllable behaviors that are to execute within a shared partially predictable, but fully observable, environment. Behaviors are represented with a sort of nondeterministic transition systems, whose transitions are conditioned on the current state of the environment, also represented as a nondeterministic finite transition system. On the other hand, the target behavior is assumed to be fully deterministic and stands for the behavior that the system as a whole needs to guarantee. We formally define the problem within an abstract framework, characterize its computational complexity, and propose a solution by appealing to satisfiability in Propositional Dynamic Logic, which is indeed optimal with respect to computational complexity. We claim that this problem, while novel to the best of our knowledge, can be instantiated to multiple specific settings in different contexts and can thus be linked to different research areas of AI, including agent-oriented programming and cognitive robotics, control, multi-agent coordination, plan integration, and automatic web-service composition.
Are Female Sex Workers Able to Negotiate Condom Use with Male Clients? The Case of Mobile FSWs in Four High HIV Prevalence States of India

Introduction Condom promotion among female sex workers (FSWs) is a key intervention in India’s National AIDS Control Program. However, there is limited understanding of how FSWs negotiate condom use with male clients, particularly in the context of their mobility for sex work. The objective of this study is to examine the factors associated with the mobile FSWs’ ability to refuse unsafe sex and successfully negotiate condom use with unwilling male clients. Methods Data for 5498 mobile FSWs from a cross-sectional survey conducted in 22 districts of four states in southern India were analyzed. Questions assessed FSWs’ ability to refuse clients unprotected sex, convince unwilling clients for condom use and negotiate condom use in a new location. Logistic regression models were constructed to examine the association between socio-demographics, economic vulnerability, sex work practice, and program exposure and condom negotiation ability. Results A majority of FSWs (60%) reported the ability to refuse clients for unprotected sex, but less than one-fifth reported the ability to successfully convince an unwilling client to use a condom or to negotiate condom use in a new site. Younger and older mobile FSWs compared to those who were in the middle age group, those with longer sex work experience, with an income source other than sex work, with program exposure and who purchased condoms for use, reported the ability to refuse unprotected sex, to successfully negotiate condom use with unwilling clients and to do so at new sites. Conclusion FSWs need to be empowered to not only refuse unprotected sex but also to be able to motivate and convince unwilling clients for condom use, including those in new locations. In addition to focusing on condom promotion, interventions must address the factors that impact FSWs’ ability to negotiate condom use.
High-pressure synthesis, crystal structure, and magnetic properties of KSbO3-type 5d oxides K0.84OsO3 and Bi2.93Os3O11

Abstract 5d Solid-state oxides K0.84OsO3 (Os5.16+; 5d 2.84) and Bi2.93Os3O11 (Os4.40+; 5d 3.60) were synthesized under high-pressure and high-temperature conditions (6 GPa and 1500–1700 °C). Their crystal structures were determined by synchrotron x-ray diffraction and their 5d electronic properties and tunnel-like structure motifs were investigated. A KSbO3-type structure with a space group of Im-3 and Pn-3 was determined for K0.84OsO3 and Bi2.93Os3O11, respectively. The magnetic and electronic transport properties of the polycrystalline compounds were compared with those obtained theoretically. It was revealed that the 5d tunnel-like structures are paramagnetic with metallic charge conduction at temperatures above 2 K. This was similar to what was observed for structurally relevant 5d oxides, including Bi3Re3O11 (Re4.33+; 5d 2.66) and Ba2Ir3O9 (Ir4.66+; 5d 4.33). The absence of long-range magnetic order seems to be common among 5d KSbO3-like oxides, regardless of the number of 5d electrons (between 2.6 and 4.3 per 5d atom).
Aggregate information efficiency in wireless ad hoc networks with outage constraints

In this paper we analyze the performance of wireless ad hoc networks with outage constraints. Using the performance metric aggregate information efficiency, we study the relationship among spectral efficiency, interference immunity, link activity and outage probability. We propose a numerical procedure to estimate the outage probability in a network as a function of several network parameters. Numerical results show that moderate modulation level and high coding rate maximize the network performance.
A novel double-targeted nondrug delivery system for targeting cancer stem cells

Instead of killing cancer stem cells (CSCs), the conventional chemotherapy used for cancer treatment promotes the enrichment of CSCs, which are responsible for tumor growth, metastasis, and recurrence. However, most therapeutic agents are only able to kill a small proportion of CSCs by targeting one or two cell surface markers or dysregulated CSC pathways, which are usually shared with normal stem cells (NSCs). In this study, we developed a novel nondrug delivery system for the dual targeting of CSCs by conjugating hyaluronic acid (HA) and grafting the doublecortin-like kinase 1 (DCLK1) monoclonal antibody to the surface of poly(ethylene glycol) (PEG)–poly(d,l-lactide-co-glycolide) (PLGA) nanoparticles (NPs), which can specifically target CD44 receptors and the DCLK1 surface marker – the latter was shown to possess the capacity to distinguish between CSCSs and NSCs. The size and morphology of these NPs were characterized by dynamic light scattering (DLS), transmission electron microscopy (TEM), and scanning electron microscopy (SEM). This was followed by studies of NP encapsulation efficiency and in vitro drug release properties. Then, the cytotoxicity of the NPs was tested via Cell Counting Kit-8 assay. Finally, the 4T1 CSCs were obtained from the alginate-based platform, which we developed as an in vitro tumor model. Tumor-bearing nude mice were used as in vivo models to systematically detect the ability of NPs to target CSCs. Our results showed that the DCLK1–HA–PEG–PLGA NPs exhibited a targeting effect toward CSCs both in vitro and in vivo. These findings have important implications for the rational design of drug delivery systems that target CSCs with high efficacy.
The weakest failure detector for solving k-set agreement

A failure detector is a distributed oracle that provides processes in a distributed system with hints about failures. The notion of a weakest failure detector captures the exact amount of synchrony needed for solving a given distributed computing problem. In this paper, we determine the weakest failure detector for solving k-set agreement among n processes (n > k) using reads and writes in shared memory, regardless of the assumptions on when and where failures might occur. This failure detector is derived directly from the impossibility of wait-free k + 1-process k-set agreement. Our approach can be viewed as an extension of the asynchronous BG-simulation technique to partially synchronous systems.
Transformational Coaching Workshop: Applying a Person-Centred Approach to Coach Development Programs

It is well established that coach learning and athlete outcomes can be enhanced through participation in Coach Development Programs (CDPs). Researchers advocate that the quality of CDPs can be improved by: (a) placing a greater emphasis on facilitating coaches’ interpersonal behaviours (Lefebvre, Evans, et al., 2016), (b) using appropriate and systematic evaluation frameworks to guide the evaluation of interpersonally-focused CDPs (Evans et al., 2015), and (c) incorporating behaviour change theories into the design and implementation of these CDPs (Allan et al., 2017). In doing so, the relevance of CDP content and the uptake of this content among coaching practitioners may be enhanced. Transformational leadership theory provides a valuable guiding framework for designing CDPs that aim to promote positive development in youth sport. Thus, the goal of the present paper is to outline the development of a novel, evidence-informed CDP: The Transformational Coaching Workshop and to provide practical strategies .
Improved answer ranking in social question-answering portals

Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality content challenging but all the more important. We present an approach to answer ranking and show the usefulness of features that explicitly model answer quality. Furthermore, we introduce the idea of leveraging snippets of web search results for query expansion in answer ranking. We present an evaluation setup that avoids spurious results reported in earlier work. Our results show the usefulness of our features and query expansion techniques, and point to the importance of regularization when learning from noisy data.
Measuring Moderate-Intensity Exercise with the Apple Watch: Validation Study

Background Moderate fitness levels and habitual exercise have a protective effect for cardiovascular disease, stroke, type 2 diabetes, and all-cause mortality. The Apple Watch displays exercise completed at an intensity of a brisk walk or above using a green “exercise” ring. However, it is unknown if the exercise ring accurately represents an exercise intensity comparable to that defined as moderate-intensity. In order for health professionals to prescribe exercise intensity with confidence, consumer wearable devices need to be accurate and precise if they are to be used as part of a personalized medicine approach to disease management. Objective The aim of this study was to examine the validity and reliability of the Apple Watch for measuring moderate-intensity exercise, as defined as 40-59% oxygen consumption reserve (VO2R). Methods Twenty recreationally active participants completed resting oxygen consumption (VO2rest) and maximal oxygen consumption (VO2 max) tests prior to a series of 5-minute bouts of treadmill walking at increasing speed while wearing an Apple Watch on both wrists, and with oxygen consumption measured continuously. Five-minute exercise bouts were added until the Apple Watch advanced the green “exercise” ring by 5 minutes (defined as the treadmill inflection speed). Validity was examined using a one-sample t-test, with interdevice and intradevice reliability reported as the standardized typical error and intraclass correlation. Results The mean %VO2R at the treadmill inflection speed was 30% (SD 7) for both Apple Watches. There was a large underestimation of moderate-intensity exercise (left hand: mean difference = -10% [95% CI -14 to -7], d=-1.4; right hand: mean difference = -10% [95% CI -13 to -7], d=-1.5) when compared to the criterion of 40% VO2R. Standardized typical errors for %VO2R at the treadmill inflection speed were small to moderate, with intraclass correlations higher within trials compared to between trials. Conclusions The Apple Watch threshold for moderate-intensity exercise was lower than the criterion, which would lead to an overestimation of moderate-intensity exercise minutes completed throughout the day.
Australian Journal of Teacher Education Consequences of Increased Self-regulated Learning Opportunities on Student Teachers' Motivation and Use of Metacognitive Skills Effects of Increased Self-regulated Learning Opportunities on Student Teachers' Motivation and Use of Metacognitive Skills

This intervention study focused on the relationships between primary student teachers' self-regulated learning (SRL) opportunities, their motivation for learning and their use of metacognitive learning strategies. The participants were 3 teacher educators and 136 first-year student teachers. During one semester, teacher educators and student teachers were monitored by questionnaires measuring opportunities for SRL offered by the program. Questionnaires were also administered monitoring student teachers' motivation and metacognition. During data collection, teacher educators participated in training courses and tutorial conversations aimed at increasing student teachers' SRL opportunities in the curriculum. At the end of the research period, all teacher educators and a sample of student teachers were interviewed. Results indicate that student teachers' use of metacognitive skills increased significantly in learning environments with increased SRL opportunities. Student teachers' motivation for learning was also enhanced, although to a lesser degree. Finally, significant correlations were found between the metacognitive study process construct and the motivational constructs measured.