Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of cognitive mapping algorithm for mobile robot navigation system

Mobile robot navigation has become as a challenging problem over the last few decades. Despite the significant advances in this field, mobile robot researchers have yet to reach a comfortable level of satisfaction and yet still finding an improved algorithm for robot's navigation. In this paper, we proposed investigate the cognitive mapping algorithm that is been implemented to the mobile robot. This mobile robot will be given some inputs which are horizontal and vertical value and start and goal point and a task which is to move from start point to goal point. Some obstacles are also located in the arena and the mobile robot must be able to avoid any given obstacles to reach the goal point. The performance of the cognitive mapping algorithm is compared with an edge follower navigation algorithm, which is an algorithm for a mobile robot to navigate by following the edges or the wall. Based on the experiments that have been performed the cognitive mapping algorithm can be an alternative way for the robot's navigation systems.
Evolution of Leptin Structure and Function

Leptin, the protein product of the obese(ob or Lep) gene, is a hormone synthesized by adipocytes that signals available energy reserves to the brain, and thereby influences development, growth, metabolism and reproduction. In mammals, leptin functions as an adiposity signal: circulating leptin fluctuates in proportion to fat mass, and it acts on the hypothalamus to suppress food intake. Orthologs of mammalian Lep genes were recently isolated from several fish and two amphibian species, and here we report the identification of two Lep genes in a reptile, the lizard Anolis carolinensis. While vertebrate leptins show large divergence in their primary amino acid sequence, they form similar tertiary structures, and may have similar potencies when tested in vitro on heterologous leptin receptors (LepRs). Leptin binds to LepRs on the plasma membrane, activating several intracellular signaling pathways. Vertebrate LepRs signal via the Janus kinase (Jak) and signal transducer and activator of transcription (STAT) pathway. Three tyrosine residues located within the LepR cytoplasmic domain are phosphorylated by Jak2 and are required for activation of SH2-containing tyrosine phosphatase-2, STAT5 and STAT3 signaling. These tyrosines are conserved from fishes to mammals, demonstrating their critical role in signaling by the LepR. Leptin is anorexigenic in representatives of all vertebrate classes, suggesting that its role in energy balance is ancient and has been evolutionarily conserved. In addition to its integral role as a regulator of appetite and energy balance, leptin exerts pleiotropic actions in development, physiology and behavior.
Secular Trend in Thinness Prevalence for 26 Years (1989 - 2014) among High School Runners in Japan

Background Female distance runners are predisposed to thinness for performance reasons and at greater risk for health-related consequences than the general population. Objectives The aim of the study was to evaluate the secular trends in thinness among competitive distance runners in Japanese high schools with sex-specific comparison. Methods Body mass index (BMI) were analysed in 9,881 female and 12,786 male runners participating in the annual national road relay races between 1989 and 2014 using the directory of a track and field magazine. The age-specific trends of these variables and the prevalence of thinness were tested by linear and logistic regression, respectively. Results Although BMI declined significantly among both male and female runners (coefficients: boys, -0.033, -0.030, and -0.032; girls, -0.033, -0.034, and -0.034 [all P < 0.001] in 15.5-, 16.5-, and 17.5-year-olds, respectively), the prevalence of severely thin runners significantly increased only among girls (odds ratios for the yearly change = 1.05 and 1.06 [both P < 0.01] for 16.5- and 17.5-year-olds, respectively). Only 0.13% of male runners were regarded as severely thin throughout the study period. Conclusions The results suggested that severely thin girl runners has steadily increased. Surveys on the health consequences of extreme thinness are necessary for the female adolescent runners.
A NEW ALGORITHM FOR U-SHAPED TWO-SIDED ASSEMBLY LINE BALANCING

This study introduces a new hybrid design for a specific case of assembly lines, and proposes a multi-pass random assignment algorithm to find the minimum number of stations required. The algorithm also finds the sequence and the schedule of the tasks assigned. The new design is a combination of two-sided lines and U-shaped lines, which benefits from the advantages of both designs at the same time. One side of the line is arranged in U-shape allowing stations with crossovers, and the other side of the line is balanced like a traditional straight flow. Depending on product direction, either Left or Right side of the line can be designed in U-shape. Small and large-sized two-sided assembly line test-bed problems were solved using the algorithm. Optimal results are achieved for all small-sized problems. Due to the novelty of the design, results of largesized problems are compared to findings of studies on simple two-sided balancing. Algorithm produced better results in most of the cases.
Resonant states for a three-body problem under an external field

Here we consider one of the basic models for many-body problems under an external field: the molecule ion H+2 under the effect of an external Stark-type potential. If we consider the vibrational energy levels of the first two electronic states of the molecule ion H+2 then, in the semiclassical limit and by means of a suitable modified Born-Oppenheimer method, we can prove that they switch to sharp resonances localized in the same interval of energy of the vibrational levels when an external Stark-type field, with the same direction of the nuclear axis, occurs. In Memory of Pierre Duclos
Integration Middleware for Mobile Supply Chain Management

According to the mobile supply chain management features and considering the limitations and obstacles in the mobile environment. This paper proposes a multi-agent integration middleware for mobile supply chain management, aiming to solve information integration and data synchronization problem without worrying about network or terminal heterogeneity in mobile environment, which can achieve mobile supply chain dynamic integration and then improve the efficiency of supply chain management. Compared with traditional distributed approach, the management method has lots of advantages, such as saving network bandwidth; its flexibility and scalability are also very favorable.
WCET-Guided Optimal Data Allocation to Scratchpad Memory

Scratchpad memory is a popular choice for on-chiptorage in real-time embedded systems. The allocation ofprogram elements to scratchpad memory is performed atompile time leading to predictable memory access la-encies. Current scratchpad memory allocation techniquesmainlyimprovetheaverage-caseexecutiontimeoftasks.Forhard real-time systems, however, worst case execution timeWCET) is a more important key metric. In this paper, wepropose scratchpad allocation techniques for data memoryhat aim to minimize a tasks WCET. We first analyze mainproblem of optimal allocation process and current worksof allocation algorithms. Then, based on common degree ofariables, we design a new heuristic searches algorithm thatachieves better optimal performance for all our benchmarks.
Norges Teknisk-naturvitenskapelige Universitet Fast Sampling of Gaussian Markov Random Fields with Applications Fast Sampling of Gaussian Markov Random Fields with Applications

SUMMARY This paper demonstrate how Gaussian Markov random fields (conditional autoregressions) can be fast sampled using numerical techniques for sparse matrices. The algorithm is general , surprisingly efficient, and expands easily to various forms for conditional simulation and evaluation of normalisation constants. I demonstrate its use in Markov chain Monte Carlo algorithms for disease mapping, space varying regression model, spatial non-parametrics, hierarchical space-time modelling and Bayesian imaging. Håkon Tjelmeland and Darren J. Wilkinson for stimulating discussions, and Leo Knorr-Held for providing the oral cavity cancer data and the region-map of Germany. on " Computational and Statistical methods for the analysis of spatial data " .
Downregulation of the δ-Subunit Reduces Mitochondrial ATP Synthase Levels, Alters Respiration, and Restricts Growth and Gametophyte Development in Arabidopsis[W][OA]

The mitochondrial ATP synthase is central to the cell’s energy metabolism. By disturbing the functionality of the ATP synthase, this work identified major short- and long-term changes to metabolite, transcript, and protein levels that led to delayed growth and reduced fertility. It provides new evidence that primary metabolism and gametophyte development seem to be linked by redox and biotic stress signaling. The mitochondrial ATP synthase (F1Fo complex) is an evolutionary conserved multimeric protein complex that synthesizes the main bulk of cytosolic ATP, but the regulatory mechanisms of the subunits are only poorly understood in plants. In yeast, the δ-subunit links the membrane-embedded Fo part to the matrix-facing central stalk of F1. We used genetic interference and an inhibitor to investigate the molecular function and physiological impact of the δ-subunit in Arabidopsis thaliana. Delta mutants displayed both male and female gametophyte defects. RNA interference of delta resulted in growth retardation, reduced ATP synthase amounts, and increased alternative oxidase capacity and led to specific long-term increases in Ala and Gly levels. By contrast, inhibition of the complex using oligomycin triggered broad metabolic changes, affecting glycolysis and the tricarboxylic acid cycle, and led to a successive induction of transcripts for alternative respiratory pathways and for redox and biotic stress-related transcription factors. We conclude that (1) the δ-subunit is essential for male gametophyte development in Arabidopsis, (2) a disturbance of the ATP synthase appears to lead to an early transition phase and a long-term metabolic steady state, and (3) the observed long-term adjustments in mitochondrial metabolism are linked to reduced growth and deficiencies in gametophyte development.
Fe b 20 08 Self-consistent multiple testing procedures

We study the control of the false discovery rate (FDR) for a general class of multiple testing procedures. We introduce a general condition, called " self-consistency " , on the set of hypotheses rejected by the procedure, which we show is sufficient to ensure the control of the corresponding false discovery rate under various conditions on the distribution of the p-values. Maximizing the size of the rejected null hypotheses set under the constraint of self-consistency, we recover various step-up procedures. As a consequence, we recover earlier results through simple and unifying proofs while extending their scope to several regards: arbitrary measure of set size, p-value reweighting, new family of step-up procedures under unspecified p-value dependency. Our framework also allows for defining and studying FDR control for multiple testing procedures over a continuous, uncountable space of hypotheses.
Hidden Wealth How Do Consumers Perceive Wealth and Its Management

According to mainstream financial theory, rational consumers optimize the risk-reward ratio of their wealth by allocating wealth to various assets. Many social-psychological theories explain consumer behavior as substantially cognitive processes. Within the context of consumer wealth management, our article answers two research questions. First, how do consumers perceive wealth in general and different asset classes, in particular? We also investigate how various sources of values and experience influence consumers’ wealth management related decisions. As we explore empirically various wealth perceptions and motives, we address the second research question; how well do empirically discovered motives relate to those proposed by financial and social psychological theories? We collected empirical data in Finland with eleven financial expert interviews, six consumer focus group discussions and a survey questionnaire responded cumulatively by 702 consumers and 43 financial experts. Motivated by the empirical findings, we introduce the concept of hidden wealth to describe consumers’ wealth management behavior. According to our findings, consumers have predominantly other motives than those proposed by financial theory, and their behavior is significantly influenced by several factors. Security appears as the dominant goal and motive of wealth management. Even in the case of financial assets related decision making, the importance of social values, past experience, feelings and intuition appears to override the importance of risk – return thinking as the source of behavioral motives. We also found differences in how various wealth categories are perceived. A distinctive feature of our study is that we collected empirical data from two independent sources. The underlying tone of the wealth perceptions is shared by consumers and financial experts. Finally, we discuss the significance of our findings by relating our findings to relevant theories as well as the implications of our research both for research and practice.
COMODE: A Framework for the Development of Context-Aware Applications in the Context of MDE

Most researches on ubiquitous computing focus on context capture and adaptation. The lack of a well-defined context model inhibits identification, reasoning and reuse of context and context-aware elements. In this paper we propose the development of model-driven context-aware applications. We present the COMODE framework for modeling context-aware applications in the context of MDE (Model Driven Engineering). By concerns separation (business and contextual ones) in individual models and by transformation techniques context can be provided, modeled and adapted independently of business logic and platform details. We also present in this paper our proposition of a context metamodel and the parameterized transformation to apply context into business models.
Dietary intake of fruit and vegetable and lung cancer risk: a case-control study in Harbin, northeast China.

BACKGROUND We studied the relationship between dietary intake of vegetables and fruit and lung cancer risk in Harbin, Heilongjiang province, northeast China, an area with a very high baseline risk of lung cancer in both sexes. PATIENTS AND METHODS We used data from a case-control study, conducted from 1987 to 1990, among 218 cases with incident, histologically confirmed lung cancer and 436 controls admitted to the same hospitals as cases with non-neoplastic, non-lung diseases unrelated to smoking and other potential risk factors for lung cancer. RESULTS Compared with the lowest tertile of intake of vegetables, fruit or both, the multivariate odds ratios (ORs) for the highest tertile of intake were 0.39 [95% confidence interval (CI) 0.25-0.62], 0.73 (95% CI 0.48-1.11) and 0.40 (95% CI 0.25-0.63), respectively. In particular, high intake of Chinese cabbage (OR = 0.53), chives (OR = 0 .54), carrots (OR = 0.51) and celery (OR = 0.40) was inversely associated with lung cancer. The OR was more than six-fold elevated for smokers reporting low intake of vegetables, and more than four-fold elevated for smokers reporting low intake of fruit, as compared with never smokers reporting high intake of these items. CONCLUSION In agreement with previous studies, we found an inverse relation between vegetable and fruit intake and lung cancer risk in both strata of current and never smokers.
Intelligent Clinical Notes System: An information retrieval and information extraction system for Clinical Notes

Information retrieval and information extraction are significant issues in the medical and health care domains where the accuracy of the retrieved information and obtaining it in a time critical situation are extremely important. In this paper, we propose a novel system, Intelligent Clinical Notes System (ICNS) to help doctors extract needed information from clinical notes, which were written as free text. Both the software engineering technology, natural language processing aspects are described about this system. This system was developed for a real real-time environment and integrated into the existing clinical information system in use at the bedside in and Intensive Care Unit.
Using Multi-phase Cost-Sensitive Learning to Filtering Spam

This paper proposes a novel ensemble learning framework, namely, Multiple-Phase Cost-Sensitive Ensemble Learning (MPCSL) which simulates the means and process of human being learning.It consists of two types learning, i.e., direct learning which learns multiple weak learners from a training dataset via some homogeneous or heterogenous algorithms, and indirect learning that constructs a committee from the knowledge of the combined filters or other committees. This paper studies empirically the performance of MPCSL on spam filtering tasks.In the occasions of combining homogeneous and heterogeneous,how the performance of MPCSL changes is surveyed. The results shows that MPCSL is a compellent ensemble learning method for cost-sensitive tasks such as spam filtering.
A Remote Backup Approach for Virtual Machine Images

Recent years witness the successful application of Cloud computing. Virtualization plays a key role in cloud computing and greatly facilitates application deployment and migration. Tenants' applications are hosted by virtual machines. The security and safety of user applications receive much attention from academia and industry. However, fault tolerance and availability issues of cloud applications are overlooked. In this paper, we focus on the high availability issue of virtual machines. We propose a remote backup approach, named LiveRB, for saving the running states of virtual machines in an online manner. The backup process operates in background and is transparent to the applications hosted in virtual machines. Live migration technique is used to save the running states of virtual machines. A virtual block device is designed to cache I/O operations in memory and save incremental virtual disk data of the virtual machine to a remote server. We implement LiveRB on KVM virtualization platform. We evaluate the effectiveness and efficiency of LiveRB through comprehensive experiments. The results show that LiveRB can lively backup a virtual machine to a remote server with only slight performance penalty.
How Did You Get In? Attributions of Preferential Selection In College Admissions

Title: HOW DID YOU GET IN? ATTRIBUTIONS OF PREFERENTIAL SELECTION IN COLLEGE ADMISSIONS Archie L. Bates, III, Doctor of Philosophy, 2006 Directed By: Professor Katherine J. Klein Department of Psychology Minorities are often suspected beneficiaries (e.g., Heilman, 1994) of affirmative action—that is, they are individuals who attribute or perceive that others attribute their selection for a job or admission to a school, in part, to preference given to race or gender status. Experimental research has shown that suspected beneficiaries experience negative self-evaluations, yet little research has focused on performance outcomes. I draw upon attribution theory (e.g., Kelly, 1972) and stereotype threat theory (C. M. Steele & Aronson, 1995) to extend the literature by examining the emotions and academic performance of freshmen college students who are suspected beneficiaries. I hypothesize that racial minorities are more likely than are Whites, and women are more likely than are men, to be suspected beneficiaries of racial and gender preference, respectively. These attributions lead to decreased academic self-efficacy and increased evaluation apprehension and anxiety, which ultimately decrease academic performance. Additionally, I pose research questions to explore factors that mitigate the effect of attributions on these outcomes. I use structural equation modeling to test my hypotheses. The results suggest that racial minorities and women are more likely than Whites and men, respectively, to be suspected beneficiaries. Further, attributions of racial and gender preference lead to the hypothesized negative outcomes. I find that past academic performance moderates the relation between attributions of gender preference and anxiety, such that students who scored higher on the SAT and (perceive that others) attribute their admission to gender preference experience more anxiety than do students who scored lower on the SAT and (perceive that others) attribute their admission to gender preference. Additionally, social support moderates the relation between attributions of racial preference and evaluation apprehension, such that students who receive high levels of social support and (perceive that others) attribute their admission to racial preference experience less evaluation apprehension than do students who receive low levels of social support and (perceive that others) attribute their admission to racial preference. Overall, the results support the perception that uncertainty in the selection process can lead to attributions of preferential selection and harmful consequences for racial minorities and women. HOW DID YOU GET IN? ATTRIBUTIONS OF PREFERENTIAL SELECTION IN COLLEGE ADMISSIONS
The modulation of topoisomerase I-mediated DNA cleavage and the induction of DNA–topoisomerase I crosslinks by crotonaldehyde-derived DNA adducts

Crotonaldehyde is a representative α,β-unsaturated aldehyde endowed of mutagenic and carcinogenic properties related to its propensity to react with DNA. Cyclic crotonaldehyde-derived deoxyguanosine (CrA-PdG) adducts can undergo ring opening in duplex DNA to yield a highly reactive aldehydic moiety. Here, we demonstrate that site-specifically modified DNA oligonucleotides containing a single CrA-PdG adduct can form crosslinks with topoisomerase I (Top1), both directly and indirectly. Direct covalent complex formation between the CrA-PdG adduct and Top1 is detectable after reduction with sodium cyanoborohydride, which is consistent with the formation of a Schiff base between Top1 and the ring open aldehyde form of the adduct. In addition, we show that the CrA-PdG adduct alters the cleavage and religation activities of Top1. It suppresses Top1 cleavage complexes at the adduct site and induces both reversible and irreversible cleavage complexes adjacent to the CrA-PdG adduct. The formation of stable DNA–Top1 crosslinks and the induction of Top1 cleavage complexes by CrA-PdG are mutually exclusive. Lastly, we found that crotonaldehyde induces the formation of DNA–Top1 complexes in mammalian cells, which suggests a potential relationship between formation of DNA–Top1 crosslinks and the mutagenic and carcinogenic properties of crotonaldehyde.
Financial Application of Multi-Instance Learning: Two Greek Case Studies

The problems of bankruptcy prediction and fraud detection have been extensively considered in the financial literature. The objective of this work is twofold. Firstly, we investigate the efficiency of multi-instance learning in bankruptcy prediction. For this reason, a number of experiments have been conducted using representative learning algorithms, which were trained using a data set of 150 failed and solvent Greek firms in the recent period. It was found that multi-instance learning algorithms could enable experts to predict bankruptcies with satisfying accuracy. Secondly, we explore the effectiveness of multi-instance learning techniques in detecting firms that issue fraudulent financial statements (FFS). Therefore, a number of experiments have been conducted using representative learning algorithms, which were trained using a data set of 164 fraud and non-fraud Greek firms. The results show that MIBoost algorithm with Decision Stump as base learner had the best accuracy in comparison with other multi-instance learners and single supervised machine learning techniques.