Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural Basis of Low-Affinity Nickel Binding to the Nickel-Responsive Transcription Factor NikR from Escherichia coli†‡

Escherichia coli NikR regulates cellular nickel uptake by binding to the nik operon in the presence of nickel and blocking transcription of genes encoding the nickel uptake transporter. NikR has two binding affinities for the nik operon: a nanomolar dissociation constant with stoichiometric nickel and a picomolar dissociation constant with excess nickel [Bloom, S. L. , and Zamble, D. B. (2004) Biochemistry 43, 10029−10038; Chivers, P. T. , and Sauer, R. T. (2002) Chem. Biol. 9, 1141−1148]. While it is known that the stoichiometric nickel ions bind at the NikR tetrameric interface [Schreiter, E. R. , et al. (2003) Nat. Struct. Biol. 10, 794−799; Schreiter, E. R. , et al. (2006) Proc. Natl. Acad. Sci. U.S.A. 103, 13676−13681], the binding sites for excess nickel ions have not been fully described. Here we have determined the crystal structure of NikR in the presence of excess nickel to 2.6 Å resolution and have obtained nickel anomalous data (1.4845 Å) in the presence of excess nickel for both NikR alone and NikR cocrystallized with a 30-nucleotide piece of double-stranded DNA containing the nik operon. These anomalous data show that excess nickel ions do not bind to a single location on NikR but instead reveal a total of 22 possible low-affinity nickel sites on the NikR tetramer. These sites, for which there are six different types, are all on the surface of NikR, and most are found in both the NikR alone and NikR−DNA structures. Using a combination of crystallographic data and molecular dynamics simulations, the nickel sites can be described as preferring octahedral geometry, utilizing one to three protein ligands (typically histidine) and at least two water molecules.
Does Watching the News Affect Fear of Terrorism? The Importance of Media Exposure on Terrorism Fear

Several authors have proposed that media hype elevates perceptions of risk and fear of crime. Research suggests that fear of crime is related to the overall amount of media consumption, resonance of news reports, how much attention the individual pays to the news, and how credible he or she believes it to be. The present study examines whether the same applies for terrorism. We use telephone survey data (N = 532) of New Yorkers and Washingtonians to test whether perceived risk and fear of terrorism are associated with several media-related variables. We find that exposure to terrorism-related news is positively associated with perceived risk of terrorism to self and others and with fear for others, but not for self.
Adjustments of muscle capillarity but not mitochondrial protein with skiing in the elderly

Downhill skiing in the elderly increases maximal oxygen uptake (VO2max) and carbohydrate handling, and produces muscle hypertrophy. We hypothesized that adjustments of the cellular components of aerobic glucose combustion in knee extensor muscle, and cardiovascular adjustments, would increase in proportion to VO2max. Nineteen healthy elderly subjects (age 67.5 ± 2.9 years) who completed 28.5 days of guided downhill skiing over 3 months were assessed for anthropometric variables, cardiovascular parameters (heart rate, hematocrit), VO2max, and compared with controls (n = 20). Biopsies of vastus lateralis muscle were analyzed for capillary density and expression of respiratory chain markers (NDUFA9, SDHA, UQCRC1, ATP5A1) and the glucose transporter GLUT4. Statistical significance was assessed with a repeated analysis of variance and Fisher's post‐hoc test at a P value of 5%. VO2max increased selectively with ski training (+7 ± 2%). Capillary density (+11 ± 5%) and capillary‐to‐fiber ratio (12 ± 5%), but not the concentration of metabolic proteins, in vastus lateralis were increased after skiing. Cardiovascular parameters did not change. Fold changes in VO2max and capillary‐to‐fiber ratio were correlated and were under genetic control by polymorphisms of the regulator of vascular tone, angiotensin converting enzyme. The observations indicate that increased VO2max after recreational downhill ski training is associated with improved capillarity in a mainly recruited muscle group.
Comparative Study of Data Mining Classification Methods in Cardiovascular Disease Prediction

Medical science industry has huge amount of data, but unfortunately most of this data is not mined to find out hidden information in data. Advanced data mining techniques can be used to discover hidden pattern in data. Models developed from these techniques will be useful for medical practitioners to take effective decision. In this research paper data mining classification techniques RIPPER classifier, Decision Tree, Artificial neural networks (ANNs), and Support Vector Machine (SVM) are analyzed on cardiovascular disease dataset. Performance of these techniques is compared through sensitivity, specificity, accuracy, error rate, True Positive Rate and False Positive Rate. In our studies 10-fold cross validation method was used to measure the unbiased estimate of these prediction models. As per our results error rates for RIPPER, Decision Tree, ANN and SVM are 02.756, 0.2755, 0.2248 and 0.1588 respectively. Accuracy of RIPPER, Decision Tree, ANN and SVM are 81.08%, 79.05%, 80.06% and 84.12% respectively. Our analysis shows that out of these four classification models SVM predicts cardiovascular disease with least error rate and highest accuracy.
Cold-Start Recommendations for Audio News Stories Using Matrix Factorization

We investigate a suite of recommendation algorithms for audio news listening applications. This domain presents several challenges that distinguish it from more commonly studied applications such as movie recommendations: (1) we do not receive explicit rating feedback, instead only observing when a user skips a story; (2) new stories arrive continuously, increasing the importance of making recommendations for items with few observations (the cold start problem); (3) story attributes have high dimensionality, making it challenging to identify similar stories. To address the first challenge, we formulate the problem as predicting the percentage of a story a user will listen to; to address the remaining challenges, we propose several matrix factorization algorithms that cluster users, n-grams, and stories simultaneously, while optimizing prediction accuracy. We empirically evaluate our approach on a dataset of 50K users, 26K stories, and 975K interactions collected over a five month period. We find that while simple models work well for stories with many observations, our proposed approach performs best for stories with few ratings, which is critical for the real-world deployment of such an application.
Integrating mechanistic organism–environment interactions into the basic theory of community and evolutionary ecology

Summary This paper presents an overview of how mechanistic knowledge of organism–environment interactions, including biomechanical interactions of heat, mass and momentum transfer, can be integrated into basic theoretical population biology through mechanistic functional responses that quantitatively describe how organisms respond to their physical environment. Integrating such functional responses into simple community and microevolutionary models allows scaling up of the organism-level understanding from biomechanics both ecologically and temporally. For community models, Holling-type functional responses for predator–prey interactions provide a classic example of the functional response affecting qualitative model dynamics, and recent efforts are expanding analogous models to incorporate environmental influences such as temperature. For evolutionary models, mechanistic functional responses dependent on the environment can serve as fitness functions in both quantitative genetic and game theoretic frameworks, especially those concerning function-valued traits. I present a novel comparison of a mechanistic fitness function based on thermal performance curves to a commonly used generic fitness function, which quantitatively differ in their predictions for response to environmental change. A variety of examples illustrate how mechanistic functional responses enhance model connections to biologically relevant traits and processes as well as environmental conditions and therefore have the potential to link theoretical and empirical studies. Sensitivity analysis of such models can provide biologically relevant insight into which parameters and processes are important to community and evolutionary responses to environmental change such as climate change, which can inform conservation management aimed at protecting response capacity. Overall, the distillation of detailed knowledge or organism–environment interactions into mechanistic functional responses in simple population biology models provides a framework for integrating biomechanics and ecology that allows both tractability and generality.
Joint Resource Allocation and User Association for Heterogeneous Cloud Radio Access Networks

Cloud radio access networks (C-RANs) have been regarded as a promising architecture for energy-efficient fifth generation systems. In this paper, a new joint remote radio head (RRH) activation, user-RRH pairing and resource allocation strategy is proposed for heterogeneous C-RANs (H-CRANs). We first formulate an optimization problem to maximize the energy efficiency of H-CRANs. Then, a low-complexity suboptimal solution is developed. Our proposed mechanism consists of three key procedures: 1) RRH activation is performed based on greedy RRH selection, 2) user-RRH pairing is performed based on the channel quality, 3) the resource allocation problem is solved by dual decomposition. Simulation results show that the proposed strategy can improve energy efficiency significantly.
Relevance-theoretical versus pragmatic and cognitive approaches to coherence: A survey

Discourse coherence can be approached as one of the variables that allow both the writer and the reader to cope with the meaning of texts. It will be hypothesised that this is possible because coherence integrates both cognitive and textual aspects. In fact, most of contemporary linguistic and pragmatic theories have laid emphasis on the need to go beyond the sentence and enter into the realms of text and discourse so as to grasp meaning. Hence, meaning results from an ongoing process of negotiation among language users. An important consequence of this is the need to approach discourse formation and comprehension as a cognitive process, which in turn entails that the notion of coherence, as the key defining trait of discourse and of texture, must also be cognitively grounded. It is for this reason that a cognitive approach to interpersonal communication, like the one supplied by relevance theory, appears to be in a position to provide suitable proposals for the explanation of the production, processing and interpretation of discourse. This paper will therefore aim to examine critically the proposals on coherence contributed in the framework of relevance theory and assess them in relation with other discourse and cognitive approaches. Its main underlying contention is that these proposals are best understood as complementary rather than mutually excluding.
BEST PAPER/MEILLEURE COMMUNICATION: EMERGENT GLOBAL INSTITUTIONAL LOGIC IN THE MULTINATIONAL CORPORATION

1 The following paper conceptualizes how the dominant institutional logic of the multinational corporation (MNC) is influenced by the local institutional logic of its wholly-owned foreign subsidiaries. It is argued that when both the density and institutional distance of the subsidiaries are high and resource interdependency exists, deinstitutionalization will occur. Institutional behaviours will either be rejected or replaced, or dissipate altogether. Through radical or convergent change, discourse between the local and dominant logics will lead to the emergence of a global institutional logic within the MNC. Research Question Faced with institutional pressures by their wholly-owned foreign subsidiaries (WOFS), how will the dominant institutional logic of the multinational corporation (MNC) change over time?
Hybrid teaching-learning based optimization with harmony search for engineering optimization problems

In order to improve the performance of teaching-learning-based optimization algorithm, a hybrid teaching-learning-based optimization algorithm is presented in this paper. The hybrid approach combine with the strength of harmony search algorithm and teaching-learning-based optimization algorithm, which is aim to enhance the global search ability and local exploitation cababillity. Moreover, A new learning operation is used in learning phase for improving learning efficiency. Several classic engineering cases are selected to evaluate the performance of the proposed algorithm. Results reveal that the proposed algorithm outperforms TLBO and some other promising approachs.
Left ventricular mass increase is associated with cognitive decline and dementia in the elderly independently of blood pressure.

AIMS Left ventricular (LV) mass increase is considered part of composite target organ damage in hypertension and an independent risk factor for cardiovascular (CV) events. This study was designed to explore whether left ventricular mass index (LVMI) is associated with cognitive decline and dementia in elderly subjects, independently of blood pressure (BP) levels. METHODS AND RESULTS Four hundred subjects (mean age 79 +/- 6 years) were studied. Left ventricular mass was measured echocardiographically in accordance with American Society of Echocardiography and normalized for body height to the 2.7 (LVMI). Global cognitive function was evaluated with the mini-mental state examination (MMSE) (maximum score 30). Dementia was defined as an MMSE score <21. Arterial stiffness was evaluated as carotid-femoral pulse wave velocity by Complior. Prevalence of hypertension was 70% and diabetes mellitus was diagnosed in 25%. No significant differences in traditional CV risk factors were observed across LVMI quartiles. Mini-mental state examination showed an inverse trend across LVMI quartiles (the higher the LVMI, the lower the MMSE, P for trend <0.05); systolic and diastolic BP levels were not different across LVMI quartiles. In multivariable logistic regression models, including age, sex, BP levels, and use of antihypertensive drugs as covariates, the highest LVMI was found to be independently associated with a two-fold higher likelihood of having dementia. The association persisted significant even after adjustment for arterial stiffness. CONCLUSION In elderly subjects, LVMI is associated with a progressive cognitive decline. This association is independent of BP levels and/or large artery stiffness.
Divergent selection for shape of growth curve in Japanese quail. 5. Growth pattern and low protein level in starter diet

1. The effect of crude protein (CP) concentration in starter diet (259 or 216 g CP and 11·7 MJ ME/kg, fed from 0 to 21 d of age) on postnatal growth pattern (from hatching to 70 d of age) was analysed in Japanese quail lines divergently selected for high (HG) and low (LG) relative gain of body weight (BW) between 11 and 28 d of age, and constant BW at 49 d of age. 2. Males and females of both lines fed on the low CP diet showed a transient BW retardation between 7 and 28 d of age, and 7 and 35 d of age, respectively, when compared with their counterparts receiving the standard CP diet. 3. Although the negative effect of low CP concentration on growth rate was observed in both lines, a lower tolerance of young HG vs. LG quail to the reduction of CP level in food was evident from their (i) stronger BW retardation at 14 d of age (16 vs. 7%), (ii) more delayed onset of compensatory growth (21 vs. 7 d of age) and (iii) greater prolongation of the acceleration growth phase (3 vs. 1 d of age) following insufficient dietary CP. 4. The line differences in early growth rate were accompanied by significant differences in food intake. The LG line consumed more food than the HG line on both CP diets and consumption was not influenced by food quality. In contrast, HG quail reduced food intake with the decrease of dietary CP concentration. On both CP diets, this was associated with a higher body fatness of LG vs. HG quail. 5. The protein-deficient food could thus represent an important factor contributing to the selection advantage of developmentally accelerated genotypes during the selection for high BW in young age categories.
Numeracy through Literacy

ABSTRACT This article describes an investigation of how language is used in learning mathematics. An English teacher and a mathematics teacher videotaped a group of students working through a mathematics problem. The focus of the research was to consider students’ use of language (in both oral and written forms) to express their mathematical understanding. The research highlighted the significant part language plays in learning.
Lack of Practice Effects on Neuropsychological Tests as Early Cognitive Markers of Alzheimer Disease?

Reliable assessment of change from previous cognitive functioning is a prerequisite for determining the possible presence of neurodegenerative diseases such as Alzheimer's disease (AD). We investigated whether standardized change scores on the German version of the Consortium to Establish a Registry for Alzheimer's Disease-Neuropsychological Assessment Battery (CERAD-NAB) could be used for early diagnosis of AD and whether change scores on the CERAD-NAB are superior in this respect to scores recorded on 1 occasion only. Three hundred seventy-four normal control subjects were assessed twice. Data from 95 patients with mostly mild probable AD were collected at their first entry to a memory clinic and an average of 1.1 ± 0.24 years later. It is concluded that repeated testing with the CERAD-NAB does not generally add to improved diagnostic accuracy for mild and very mild AD and cannot, therefore, be recommended as a routine clinical procedure.
Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization

ABSTRACT The present work is to optimize energy consumption in wireless sensor networks for multi-layer medium access control (ML-MAC) scheme where the delay times, i.e., maximum response time delay, packet transmission delay, clock-drift delay, sleep delay and queuing delay are considered. Particle swarm optimization (PSO) is a popular multidimensional optimization procedure which is used in this paper to achieve less power consumption in wireless sensor networks. Keywords Energy consumption, Medium access control, Wireless sensor networks, Particle swarm optimization. 1. INTRODUCTION A wireless sensor network (WSN) is a collection of large number of sensor nodes that are deployed in an ad-hoc manner and communicate using a short-range radio channel. Sensor nodes are battery operated and normally they cannot be recharged due to its deployment in harsh and remote environment. Therefore, energy efficiency is a very critical issue to enhance the network lifetime [1,2,3]. ML-MAC is a distributed contention-based MAC algorithm where nodes discover their neighbors based on their radio signal level Step 2:[4-8]. Also, ML-MAC is a self-organizing MAC algorithm that does not require a central node to control the operation of the nodes. ML-MAC saves energy to re-send the falsified packets. ML-MAC is a contention based algorithms, which use an active/sleep routine in frame to save energy consumption. There are four major sources of energy waste [1]: collision, overhearing, control packet overhead and idle listening. The frame length T
A novel duality-based modeling methodology for reverse current-voltage characteristics of SiC

This paper presents a novel methodology to design a compact but precise SPICE (Simulation Program with Integrated Circuit Emphasis) model which reproduces complete current-voltage (I-V) characteristics of Silicon Carbide (SiC) power devices. The methodology is based on duality relation between one function for the forward I-V characteristics and its inverse function for the reverse I-V characteristics. The simulated and the measured results of static characteristics of DioMOS (Diode integrated SiC MOSFET) have proved that the reverse I-V characteristics are reproduced by the inverse function of the forward I-V characteristics. Moreover, universal applicability of the proposed methodology is proved by other commercially supplied SiC power devices as well.
Selective Inhibition of Type III Secretion Activated Signaling by the Salmonella Effector AvrA

Salmonella enterica utilizes a type III secretion system (TTSS) encoded in its pathogenicity island 1 to mediate its initial interactions with intestinal epithelial cells, which are characterized by the stimulation of actin cytoskeleton reorganization and a profound reprogramming of gene expression. These responses result from the stimulation of Rho-family GTPases and downstream signaling pathways by specific effector proteins delivered by this TTSS. We show here that AvrA, an effector protein of this TTSS, specifically inhibits the Salmonella-induced activation of the JNK pathway through its interaction with MKK7, although it does not interfere with the bacterial infection-induced NF-κB activation. We also show that AvrA is phosphorylated at evolutionary conserved residues by a TTSS-effector-activated ERK pathway. This interplay between effector proteins delivered by the same TTSS highlights the remarkable complexity of these systems.
Protein Ontology Development using OWL

To efficiently represent the protein annotation framework and to integrate all the existing data representations into a standardized protein data specification for the bioinformatics community, the protein ontology need to be represented in a format that not enforce semantic constraints on protein data, but can also facilitate reasoning tasks on protein data using semantic query algebra. This motivates the representation of Protein Ontology (PO) Model in Web Ontology Language (OWL). In this paper we briefly discuss the usage of OWL in achieving the objectives of Protein Ontology Project. We provide a brief overview of Protein Ontology (PO) to start with. In the later sections discuss why OWL was an ideal choice for PO Development.
Denetim Odaği Ölçeğinin Geçerlik ve Güvenirlik Çalışması

The purpose of this research was to investigate the validity and reliability of Nowicki-Strickland Internal-External Locus of Control Scale (1973). The scale was administered to 337 adolescents in grades 7 through 10. Five factors were extracted by principal component analysis with varimax rotation; the factors were named locus of control for relationship with parents, locus of control for achievement, locus of control for relationship with peers, locus of control for superstition and locus of control for faith. Factor items had minimum loadings of . 30 and accounted for % 38.98 of the total variance. The internal consistency correlations of the sub-scales were . 74, . 59, . 61, . 62, and . 47. The internal consistency correlation of the total scale was . 72.