Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulation of Lipid Mobilization and Oxidation during Exercise in Obesity

HOROWITZ, J.F. Regulation of lipid mobilization and oxidation during exercise in obesity. Exerc. Sport Sci. Rev. Vol. 29, No. 1, pp 42–46, 2001. Obesity is associated with metabolic disorders that may be related to alterations in lipid mobilization and oxidation. Although exercise is essential for successful weight management, the regulation of fatty acid metabolism during exercise in obesity is unclear. This review discusses factors that regulate fat metabolism during exercise and the effects of endurance training on these responses.
Building adaptive systems using ensemble

Trends in networking and distributed computing are creating a new generation of applications that must adapt as the environment within which they execute changes. Examples of adaptation include switching protocols to overcome a security exposure or failure mode seen only in certain settings, changing data rates to accommodate a slow link, or adapting the behavior of a high level application to match the set of participants using the application. We describe the Ensemble system, a tool for building adaptive distributed programs. © 1998 John Wiley & Sons, Ltd.
Effectiveness and Effects of China ’ s Capital Controls Fengjuan

Reductions in barriers to global trade have not been accompanied by a widespread loosening of restrictions on international flows of capital, especially in China. This study shows that China has some of the most restrictive controls and uses them effectively to bias flows of cross border capital heavily in favor of foreign direct investment and limit flows of portfolio and bank assets and liabilities, as well as reduce capital flow volatility. China is now facing pressure to speed up its opening to all forms of cross border capital. But since China is still struggling to strengthen its domestic financial structure, capital account liberalization would expose it to considerable risks and potentially high costs. ______________________________
The Role of Irradiation Bias on the Time-Dependent Dielectric Breakdown of 130-nm MOSFETs Exposed to X-rays

We have investigated the effects of biased and unbiased X-ray irradiation on the subsequent time-dependent dielectric breakdown (TDDB) of 130-nm MOSFETs irradiated up to 1Mrad(SiO2). We found a small but measurable increase in TDDB lifetime after irradiation at the worst-case irradiation bias. The influence of radiation bias on subsequent TDDB is more significant in the PMOSFETs than the NMOSFETs. The increased TDDB lifetime and the irradiation-bias dependence are attributed to the influence of radiation-induced traps on the stressing current during the reliability testing.
Internet Research: An Opportunity to Revisit Classic Ethical Problems in Behavioral Research

The Internet offers many new opportunities for behavioral researchers to conduct quantitative and qualitative research. Although the ethical guidelines of the American Psychological Association generalize, in part, to research conducted through the Internet, several matters related to Internet research require further analysis. This article reviews several fundamental ethical issues related to Internet research, namely the preservation of privacy, the issuance of informed consent, the use of deception and false feedback, and research methods. In essence, the Internet offers unique challenges to behavioral researchers. Among these are the need to better define the distinction between private and public behavior performed through the Internet, ensure mechanisms for obtaining valid informed consent from participants and performing debriefing exercises, and verify the validity of data collected through the Internet.
Integrating Screening, Brief Intervention, and Referral to Treatment (SBIRT) into Clinical Practice Settings: A Brief Review

Abstract Screening, brief intervention, and referral to treatment (SBIRT) is a public health approach to the delivery of early intervention and treatment services for individuals at risk of developing substance use disorders (SUDs) and those who have already developed these disorders. SBIRT can be flexibly applied; therefore, it can be delivered in many clinical care settings. SBIRT has been adapted for use in hospital emergency settings, primary care centers, office- and clinic-based practices, and other community settings, providing opportunities for early intervention with at-risk substance users before more severe consequences occur. In addition, SBIRT interventions can include the provision of brief treatment for those with less severe SUDs and referrals to specialized substance abuse treatment programs for those with more severe SUDs. Screening large numbers of individuals presents an opportunity to engage those who are in need of treatment. However, additional research is needed to determine how best to implement SBIRT.
On the global dynamics of the cancer AIDS-related mathematical model

In this paper we examine some features of the global dynamics of the four-dimensional system created by Lou, Ruggeri and Ma in 2007 which describes the behavior of the AIDS-related cancer dynamic model in vivo. We give upper and lower ultimate bounds for concentrations of cell populations and the free HIV-1 involved in this model. We show for this dynamics that there is a positively invariant polytope and we find a few surfaces containing omega-limit sets for positive half trajectories in the positive orthant. Finally, we derive the main result of this work: sufficient conditions of ultimate cancer free behavior.
A novel quasi-resonant ZVZCS phase shift full bridge converter with an active clamp in the secondary

An active clamp circuit is one of the effective solutions to reduce circulating current and to damp the voltage ringing across the secondary rectifier in the conventional phase-shift full-bridge converter. Though many kinds of active clamping circuits have been proposed so far, most of them still suffer from hard switching of the primary leading leg switches and the active clamp switch which degrades the overall efficiency of the converter. In this paper a novel hybrid PWM quasi-resonant active clamp phase-shifted full-bridge is presented and analyzed. The clamping capacitor is selected to resonate with the leakage inductance of transformer and the active clamp switch is controlled properly to achieve ZCS turn-off of all the primary switches. The proposed converter can offer additional advantages such as ZVS turn-on for all the primary switches regardless of the load, elimination of the reverse recovery problem of diode, and soft-switching turn-on of the active clamp switch. To validate its performance, a 3.5 kW prototype was built and tested with 380V input and 250-420V output.
BREAST CANCER DIAGNOSIS BASED ON FEATURE EXTRACTION BY HYBRID OF K-MEANS AND EXTREME LEARNING MACHINE ALGORITHMS

Cancer is the most dreadful disease and breast cancer is the most commonly diagnosed disease. Automated disease diagnosis has gained substantial research interest these years. In this paper, a breast cancer detection algorithm that relies on different geometrical features of the image, k-means and Extreme Learning Algorithm (ELM) is proposed. The experimental results of the proposed algorithm are satisfactory in terms of detection accuracy and time complexity.
A platform for the stimulation of holistic learning in the teaching of Odontology

Information and communication technologies (ICTs) are changing the way people develop their lives. This change is not indifferent to activities involved in education. For this reason, several learning techniques, based on ICTs, appear to improve the efficiency of the educational process. However, the problem of a maintained individualized learning arises, which does not focus on needs of the student, since it only tries to transmit knowledge. From the point of view of Odontology, students have specific requirements, which allow them to emulate real situations as part of their university training. Therefore, it is necessary that different learning techniques are integrated into a single educational model, known as holistic education. This paper proposes a holistic learning platform, known as DentaLAV, focused on improving the study experiences of university odontology students.
Toll-Like Receptor 2-Stimulated Neutrophils Central Roles in Inflammatory Responses of Phosphoinositide 3-Kinase and Akt Occupy

Neutrophils are critical initiators and effectors of the innate immune system and express Toll-like receptor 2 (TLR2) and TLR4. Although signaling through pathways involving phosphoinositide 3-kinase (PI3-K) and the downstream kinase Akt (protein kinase B) plays a central role in modulating neutrophil chemotaxis and superoxide generation in response to engagement of G protein-coupled receptors, the importance of these kinases in affecting inﬂammatory responses of neutrophils stimulated through TLR2 has not been examined. In these experiments, we found activation of Akt in neutrophils stimulated with the TLR2-speciﬁc ligands peptidoglycan and the lipopeptide tri-palmitoyl- S -glyceryl-Cys-Ser-(Lys) 4 that occurred earlier and was of greater magnitude than that present after exposure to the TLR4 agonist LPS. The release of the proinﬂammatory mediators TNF- (cid:1) and macrophage inﬂammatory protein-2 was inhibited in a dose-dependent manner by PI3-K blockade. The IC 50 for inhibition of peptidoglycan-stimulated Akt activation and macrophage inﬂammatory protein-2 release correlated closely, indicating linkage of these two events. PI3-K blockade did not inhibit nuclear translocation of NF- (cid:2) B, but did prevent Ser 536 phosphorylation of the p65 subunit of NF- (cid:2) B, an event required for maximal transcriptional activity of NF- (cid:2) B. Inhibition of PI3-K also prevented activation of p38 mitogen-activated protein kinase and extracellular receptor-activated kinase 1/2 in TLR2-stimulated neutrophils. These that axis role in TLR2-induced dark cycle access food and
Mathematical methods for verification of microprocessor-based PID controllers for improving their reliability

Proportional-Integral-Derivative (PID) control is the most common control algorithm used in industry. The extensive use of electronics and software has resulted in the situation where the digital PID controller using a microprocessor as well as its software implementation replaces existing pneumatic, mechanical and electromechanical solutions. The reliability of the software system is assured by detection and removal of errors that can lead to failures. The paper presents mathematical methods for verification and testing of microprocessor-based PID controllers that can be used to increase the reliability of the system. The presented methodology explores the concept of testing with a model as an oracle.
RBE of low energy electrons and photons

Relative biological effectiveness (RBE) compares the severity of damage induced by a radiation under test at a dose D relative to the reference radiation Dx for the same biological endpoint. RBE is an important parameter in estimation of risk from exposure to ionizing radiation (IR). The present work provides a review of the recently published data and the knowledge of the RBE of low energy electrons and photons. The review presents RBE values derived from experimental data and model calculations including cell inactivation, chromosome aberration, cell transformation, micronuclei formation and induction of double-strand breaks. Biophysical models, including physical features of radiation track, and microdosimetry parameters are presented, analysed and compared with experimental data. The biological effects of low energy electrons and photons are of particular interest in radiation biology as these are strongly absorbed in micrometer and sub-micrometer layers of tissue. RBE values not only depend on the electron and photon energies but also on the irradiation condition, cell type and experimental conditions.
Constraint preserving mapping algorithm for XML storage

The use of XML as the common format for representing, exchanging, storing, integrating and accessing data poses many new challenges to database systems. Most of application data are stored in relational databases due to its popularity and rich development experiences over it. Therefore, how to provide a proper mapping approach from XML model to relational model becomes the major research problem. The mapping from XML to relational is not an easy task because the data model of an XML document is fundamentally different from that of a relational database. Especially the structure of an XML document is hierarchy and the XML elements may be nested and repeated. So it is also useful in information exchange and data integration for preserving the semantics of data originating in XML to relational databases. Although several approaches exist, they are incomplete in the sense that they focus only on a part of constraints and ignore the constraints for XML as expressed in functional dependencies. In this paper, we propose an algorithm how to preserve these constraints while mapping from XML to relational schema. Compared with other methods, our approach can preserve more XML constraints, while reduced nesting and redundant data.
What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships

Multi-task learning is a learning paradigm that improves the performance of "related" tasks through their joint learning. To do this each task answers the question "Which other task should I share with"? This task relatedness can be complex - a task may be related to one set of tasks based on one subset of features and to other tasks based on other subsets. Existing multi-task learning methods do not explicitly model this reality, learning a single-faceted task relationship over all the features. This degrades performance by forcing a task to become similar to other tasks even on their unrelated features. Addressing this gap, we propose a novel multi-task learning model that leams multi-faceted task relationship, allowing tasks to collaborate differentially on different feature subsets. This is achieved by simultaneously learning a low dimensional sub-space for task parameters and inducing task groups over each latent subspace basis using a novel combination of L1 and pairwise L∞ norms. Further, our model can induce grouping across both positively and negatively related tasks, which helps towards exploiting knowledge from all types of related tasks. We validate our model on two synthetic and five real datasets, and show significant performance improvements over several state-of-the-art multi-task learning techniques. Thus our model effectively answers for each task: What shall I share and with whom?
Advanced Control in Marine Mechatronic Systems: A Survey

This paper surveys the recent advances in marine mechatronic systems from a control perspective. The survey is by no means exhaustive, but introduces some notable results in marine control area. New developments in terms of control system designs for surface vessels, underwater robotic vehicles, profiling floats, underwater gliders, wave energy converters, and offshore wind turbines are briefly reviewed. In addition, a few avenues for future research are identified.
Clinicopathologic Evaluation of Cardiofaciocutaneous Syndrome: Overcoming the Challenges of Diagnosing a Rare Genodermatosis

We report the case of a 2‐year‐old boy from a family with limited financial resources who presented with cutaneous abnormalities, a history of congenital heart defect, and a presumptive diagnosis of Noonan syndrome. Genetic testing had been deferred because of a lack of funds. Skin findings were characteristic of cardiofaciocutaneous syndrome, including keratosis pilaris, ichthyosis, sparse eyebrows, and multiple nevi. A biopsy of a perifollicular thick papule with background hyperpigmentation was obtained to further characterize the cutaneous findings. Clinical evaluation allowed rapid, cost‐effective, specific diagnosis in this patient with a RASopathy‐spectrum genetic disorder who did not have access to genetic testing. This time‐honored clinical approach is adequate for providing information important for prognosis, follow‐up, and counseling. We will also discuss available resources for genetic testing and specialized care for patients with RASopathies.
18 DNA Helicases

DNA helicases are proteins that use the energy of NTP hydrolysis to processively denature duplex DNA.1 As such, helicases can be considered similar to other mechanochemical motors that can catalyze directional movement along a polymeric lattice (e.g., microtubule-based motors as kinesin). Acting during DNA replication, helicases convert the duplex DNA to single strands and thereby activate the DNA for nascent strand synthesis by the replicative DNA polymerases. Because of the fundamental nature of this process, helicases also play essential roles during DNA repair and recombination as well as RNA transcription and are found in virtually all cells (Thommes and Hubscher 1992; Lohman 1993; Matson et al. 1994). Our knowledge of the DNA helicases acting during eukaryotic DNA replication is somewhat meager. The replicative helicases functioning during chromosomal replication for any eukaryote are unknown. However, information is available from the study of animal viruses that encode replicative helicases, as well as from prokaryotic replication systems. Here I outline the current understanding of DNA helicases that function in eukaryotic DNA replication. DNA HELICASE ASSAYS DNA helicases are often first detected by a DNA-dependent or DNA-stimulated NTPase activity. Verification of DNA helicase activity is then accomplished using an assay that reveals the conversion of double-stranded DNA (dsDNA) into two single strands. The most common assay measures the release of a 32 P-labeled oligonucleotide annealed to a larger ssDNA molecule, such as φX174 or M13 viral DNA (Fig. 1A) (Venkatesan et al. 1982; Matson et al. 1983). The radioactive substrate and product molecules differ greatly.
Modeling the performance of bulk-carriers for Islamic equity investors

This paper investigates the performance of bulk-carriers as a primary shipping segment for Islamic equity investors. Shipping is a strong growth industry with 84% of global trade carried by the shipping industry, although 75% of ship lending is debt-based. Moreover, many Islamic investors have minimal exposure to ship-finance and investment. We adopt an investment analysis of a full population of historical data over 20 years, to evaluate performance involving a maritime return on investment, IRR, net yield and standard deviation measures of risk and return. Our findings reveal that whilst earnings are volatile in comparison to capital market expectations, unlevered, tax-free returns on bulk-carrier investments out-perform other assets. By communicating risk and reward more effectively, Islamic equity investors, will realize the benefit of equity finance on the basis of profit sharing, is more efficient at allocating investible resources than debt finance at interest, thereby increasing investment and economic growth.
Assessment of Farm Animal Welfare at Herd Level: Many Goals, Many Methods

This paper describes and compares nine methods of assessing the welfare of farm animals at herd level. A distinction is made between two types of welfare parameter: the environmental and the animal-based. The relative weight of these parameters, together with variation in their measurability, explains many of the differences between the methods with which the paper is concerned. To discuss the merits of a given method it is necessary to look at the goal it is intended to serve. Some methods compare production systems well. Others are better used in assisting the individual farmer to improve the welfare of animals within his production system.
Coastline Detection in Synthetic Aperture Radar (SAR) Images by Integrating Watershed Transformation and Controllable Gradient Vector Flow (GVF) Snake Model

Detection of coastline in synthetic aperture radars (SARs) is difficult due to the presence of speckle effect and strong signal return from wind-roughened, wave-modulated sea. This paper presents a new approach to detect coastlines from SAR images by integrating watershed transformation and gradient vector flow (GVF) snake model. Several improvements have been made to improve the accuracy and efficiency of coastline detection. First, ratio of averages edge detector is used to produce gradient maps suitable for watershed transformation. Second, an improved GVF snake model is presented, which exploits two external constraint forces to make the curve evolution more controllable. We name it controllable GVF (CGVF) snake model. Third, a coarse-fine processing scheme is employed, in which watershed transformation is performed on a coarse-resolution image to obtain the initial contours for CGVF snake model, and then CGVF snake model is used to refine the roughly detected coastline at fine resolution. Experimental results on Envisat-ASAR and TerraSAR-X images show that with only a modest computational burden, the new approach produces a good match between the detected coastline and the true one.
A Comprehensive Approach in Calculating the Impact of the Ground on Radiated Electromagnetic Fields Due to Lightning

: The influence of finite ground conductivity is of great importance in calculating the induced voltages from the radiated electromagnetic fields due to lightning. In this paper, we try to give a comprehensive approach to calculate the impact of the ground on the radiated electromagnetic fields to lightning. The vertical component of lightning electric field is calculated with a reasonable approximation assuming a perfectly conducting ground in case the observation point does not exceed a few kilometres from the lightning channel. However, for distant observation points the radiated vertical component of lightning electric field is attenuated due finitely conducting ground. The attenuation is calculated using the expression elaborated for both low and high frequencies. The horizontal component of the electric field, however, is more affected by a finite conductivity of a ground. Besides, the contribution of the horizontal component of the electric field, to induced voltages on an overhead transmission line, is greater than that of the vertical component. Therefore, the calculation of the horizontal electric field is great concern for the simulation of lightning-induced voltages. For field to transmission lines coupling the ground impedance is calculated for early time behaviour and for low frequency range. 7041