Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey of Applying User Profile in the Adaptive Instructional Systems

Now, teaching technology with the using IT equipments has expressed its energy to improve teaching and learning in traditional learning form. In this context, computer usually becomes a powerful medium in education to support learners for searching information, doing self-study, sharing materials, communicating with friends and so on. It is more and more familiar and cannot miss it to all learners at all ages, and instructional systems have been also developed to meet all learning demands of everybody when working with the computer. Recently, personalized systems, called adaptive systems, have been developed in many fields such as e-Commerce, Information Retrieval and e-Learning. In these systems, every user possesses a component of user profile. It depends on applying field that contains different information to describe him or her as personal identification, preferences, and habits. From that the system usually provides user services or information appropriate for his/her profile. Therefore, using profile in instructional systems will help them provide learning resources or recommendations which are suitable for learner‟s ability and knowledge backgrounds; also, many studies have built such adaptive systems. In addition, e-Learning has being developed widely all over the world from the developed countries to the area of the developing countries. E-Learning through using in real-life has shown not only many advantages but also some disadvantages as direct interactions between instructor and learners, learning activities, especially in self-study. The tendency of building an adaptive e-Learning system is also a way of approach to improve the limitations in this form. Our article is a detailed investigation into the application of user profile in Adaptive Instructional Systems, which lays a foundation for the improving and developing of Adaptive e-Learning Systems and then develops them into blended-learning environment, a form of teaching and learning appropriate for undergraduate education context in such developing countries as Vietnam.
Fairness Comparisons between TCP Reno and TCP Vegas for Future Deployment of TCP Vegas

†Department of Informatics and Mathematical Science Graduate School of Engineering Science, Osaka University 1-3, Machikaneyama, Toyonaka, Osaka 560-8531, Japan Phone: +81-6-6850-6616, Fax: +81-6-6850-6589 E-mail: {k-kurata, murata}@ics.es. osaka-u.ac. jp ‡Faculty of Economics, Osaka University 1-7, Machikaneyama, Toyonaka, Osaka 560-0043, Japan Phone: +81-6-6850-5233 E-mail: hasegawa@econ.osaka-u.ac. jp
In Vivo Tumor Vasculature Targeting of CuS@MSN Based Theranostic Nanomedicine

Actively targeted theranostic nanomedicine may be the key for future personalized cancer management. Although numerous types of theranostic nanoparticles have been developed in the past decade for cancer treatment, challenges still exist in the engineering of biocompatible theranostic nanoparticles with highly specific in vivo tumor targeting capabilities. Here, we report the design, synthesis, surface engineering, and in vivo active vasculature targeting of a new category of theranostic nanoparticle for future cancer management. Water-soluble photothermally sensitive copper sulfide nanoparticles were encapsulated in biocompatible mesoporous silica shells, followed by multistep surface engineering to form the final theranostic nanoparticles. Systematic in vitro targeting, an in vivo long-term toxicity study, photothermal ablation evaluation, in vivo vasculature targeted imaging, biodistribution and histology studies were performed to fully explore the potential of as-developed new theranostic nanoparticles.
Acute Hypoglycemia Impairs Executive Cognitive Function in Adults With and Without Type 1 Diabetes

OBJECTIVE Acute hypoglycemia impairs cognitive function in several domains. Executive cognitive function governs organization of thoughts, prioritization of tasks, and time management. This study examined the effect of acute hypoglycemia on executive function in adults with and without diabetes. RESEARCH DESIGN AND METHODS Thirty-two adults with and without type 1 diabetes with no vascular complications or impaired awareness of hypoglycemia were studied. Two hyperinsulinemic glucose clamps were performed at least 2 weeks apart in a single-blind, counterbalanced order, maintaining blood glucose at 4.5 mmol/L (euglycemia) or 2.5 mmol/L (hypoglycemia). Executive functions were assessed with a validated test suite (Delis-Kaplan Executive Function). A general linear model (repeated-measures ANOVA) was used. Glycemic condition (euglycemia or hypoglycemia) was the within-participant factor. Between-participant factors were order of session (euglycemia-hypoglycemia or hypoglycemia-euglycemia), test battery used, and diabetes status (with or without diabetes). RESULTS Compared with euglycemia, executive functions (with one exception) were significantly impaired during hypoglycemia; lower test scores were recorded with more time required for completion. Large Cohen d values (>0.8) suggest that hypoglycemia induces decrements in aspects of executive function with large effect sizes. In some tests, the performance of participants with diabetes was more impaired than those without diabetes. CONCLUSIONS Executive cognitive function, which is necessary to carry out many everyday activities, is impaired during hypoglycemia in adults with and without type 1 diabetes. This important aspect of cognition has not received previous systematic study with respect to hypoglycemia. The effect size is large in terms of both accuracy and speed.
Dichloroacetate modulates cytokines toward T helper 1 function via induction of the interleukin-12–interferon-γ pathway

Background Dichloroacetate (DCA) is one of the new, promising anticancer drugs. DCA restores normal mitochondrial function and enables cancer cells to undergo apoptosis. In addition, DCA was found to modulate certain signaling pathways involving some transcription factors. The latter encouraged us to study DCA immunomodulatory activity on cytokines and their association with increasing DCA cancer cell cytotoxicity. Methods and results Cell viability assay was used to determine the effect of different concentrations of DCA on the survival of 3-methylcholanthrene (MCA) fibrosarcoma cell line. DCA decreased the percent survival of MCA fibrosarcoma in a dose-dependent manner (P<0.01). Furthermore, this percent survival was further reduced when MCA fibrosarcoma cells were cocultured with mouse splenocytes. The latter was observed at 10 mM DCA (P<0.01), and the inhibitory concentration at 50% dropped from 23 mM to 15.6 mM DCA (P<0.05). In addition, DCA significantly enhanced interferon (IFN)-γ but not interleukin (IL)-17 production levels in unstimulated and stimulated mouse spleen cells. To investigate the mechanism of DCA on IFN-γ production, DCA cytokine modulatory effect was tested on unstimulated macrophages, T-cells, and natural killer cells. DCA significantly increased IL-12 production from macrophages but did not modulate the production of IFN-γ from either T-cells or natural killer cells. Moreover, the DCA-enhancing effect on IFN-γ production was reversed by anti-IL-12 antibody. Also, the DCA cytokine modulatory effect was tested in vivo after inducing mouse skin inflammation using phorbol 12-myristate 13-acetate (PMA). DCA restored PMA-lowered IFN-γ and IL-12 levels and normalized PMA-increased transforming growth factor-β level, but it inhibited IL-10 levels even further (P<0.05). Conclusion DCA has immunomodulatory activity, mainly via activation of the IL-12–IFN-γ pathway and is able to modulate cytokines toward T helper 1 lymphocyte function. These DCA immunomodulatory effects are promising and further investigations are required to develop protocols for its use in cancer treatment.
Measuring and method of informatization level for manufacturing enterprise

In view of the existing limitations in the process of informatization level measuring for enterprises at home and abroad, as well as the particularity of manufacturing enterprises, a measuring indicator system of informatization level in manufacturing enterprises, which is composed of production and management informatization, is established in this paper. In consideration of hardly being accurate and round by purely using subjective or impersonal weight method, an informatization level index model based on combined weights is put forward. This measuring system is proved to be feasible and valid according to the relevant statistical data which results from measuring the informatization level of 10 manufacturing enterprises in the northeast area.
Protease-Activated Receptor-1 Contributes to Cardiac Remodeling and Hypertrophy

Background— Protease-activated receptor-1 (PAR-1) is the high-affinity receptor for the coagulation protease thrombin. It is expressed by a variety of cell types in the heart, including cardiomyocytes and cardiac fibroblasts. We have shown that tissue factor (TF) and thrombin contribute to infarct size after cardiac ischemia-reperfusion (I/R) injury. Moreover, in vitro studies have shown that PAR-1 signaling induces hypertrophy of cardiomyocytes and proliferation of cardiac fibroblasts. The purpose of the present study was to investigate the role of PAR-1 in infarction, cardiac remodeling, and hypertrophy after I/R injury. In addition, we analyzed the effect of overexpression of PAR-1 on cardiomyocytes. Methods and Results— We found that PAR-1 deficiency reduced dilation of the left ventricle and reduced impairment of left ventricular function 2 weeks after I/R injury. Activation of ERK1/2 was increased in injured PAR-1−/− mice compared with wild-type mice; however, PAR-1 deficiency did not affect infarct size. Cardiomyocyte-specific overexpression of PAR-1 in mice induced eccentric hypertrophy (increased left ventricular dimension and normal left ventricular wall thickness) and dilated cardiomyopathy. Deletion of the TF gene in cardiomyocytes reduced the eccentric hypertrophy in mice overexpressing PAR-1. Conclusions— Our results demonstrate that PAR-1 contributes to cardiac remodeling and hypertrophy. Moreover, overexpression of PAR-1 on cardiomyocytes induced eccentric hypertrophy. Inhibition of PAR-1 after myocardial infarction may represent a novel therapy to reduce hypertrophy and heart failure in humans.
Immobilization and therapeutic passive stretching generate thickening and increase the expression of laminin and dystrophin in skeletal muscle

Extracellular matrix and costamere proteins transmit the concentric, isometric, and eccentric forces produced by active muscle contraction. The expression of these proteins after application of passive tension stimuli to muscle remains unknown. This study investigated the expression of laminin and dystrophin in the soleus muscle of rats immobilized with the right ankle in plantar flexion for 10 days and subsequent remobilization, either by isolated free movement in a cage or associated with passive stretching for up to 10 days. The intensity of the macrophage response was also evaluated. One hundred and twenty-eight female Wistar rats were divided into 8 groups: free for 10 days; immobilized for 10 days; immobilized/free for 1, 3, or 10 days; or immobilized/stretched/free for 1, 3, or 10 days. After the experimental procedures, muscle tissue was processed for immunofluorescence (dystrophin/laminin/CD68) and Western blot analysis (dystrophin/laminin). Immobilization increased the expression of dystrophin and laminin but did not alter the number of macrophages in the muscle. In the stretched muscle groups, there was an increase in dystrophin and the number of macrophages after 3 days compared with the other groups; dystrophin showed a discontinuous labeling pattern, and laminin was found in the intracellular space. The amount of laminin was increased in the muscles treated by immobilization followed by free movement for 10 days. In the initial stages of postimmobilization (1 and 3 days), an exacerbated macrophage response and an increase of dystrophin suggested that the therapeutic stretching technique induced additional stress in the muscle fibers and costameres.
Adaptive discontinuity location in image restoration

Discontinuity-preserving Bayesian image restoration, based on Markov random fields (MRF), involves an intensity field, representing the image to be restored, and an edge (discontinuity) field. The usual strategy is to perform joint maximum a posteriori (MAP) estimation of the intensity and discontinuity fields, this requiring the specification of Bayesian priors. Departing from this approach, we interpret the discontinuity locations as deterministic unknown parameters of the intensity field. This leads to a parameter estimation problem with the important feature of having an unknown number of parameters. We introduce a discontinuity-preserving image restoration criterion (and an algorithm to implement it) based on the minimum description length (MDL) principle and built upon a compound Gauss-Markov random field (CGMRF) model; the proposed formulation does not involve the specification of a prior for the edge field which is adaptively inferred from the data. <<ETX>>
Criminal appearance and legal decision-making

OF THE THESIS CRIMINAL APPEARANCE AND LEGAL DECISION-MAKING by Marlsa Evelyn Collett Florida International University, 2000 Miami, Florida Professor Ronald P. Fisher, Major Professor Previous research has found that people are able and willing to assess whether an individual is a criminal or a non-criminal based on facial observations. What has not been looked at is whether an attribution o f criminality could influence decisions as verdict choice, culpability, or punishment severity. The present study examined the effects of target photos that depicted pre-determined “bad guys” and “good guys” on legal decision­ making. Participants viewed a case file o f an armed robbery and attempted murder. Half the participants viewed a photo o f a defendant who was previously deemed a “bad guy” and the other half a “good guy. ” No differences were found in verdict preference; however, target photos o f “bad guys” elicited higher estimates o f the future likelihood that the defendant would commit this type o f crime than target photos o f good guys. Results indicate that target photos are perceived congruent to their pre-determined categories, but those perceptions were disregarded and participants based their decisions on other factors when making crucial legal decisions. TABLE OF CONTENTS CHAPTER PAGE
Head Lice of Pygmies Reveal the Presence of Relapsing Fever Borreliae in the Republic of Congo

Background Head lice, Pediculus humanus capitis, occur in four divergent mitochondrial clades (A, B, C and D), each having particular geographical distributions. Recent studies suggest that head lice, as is the case of body lice, can act as a vector for louse-borne diseases. Therefore, understanding the genetic diversity of lice worldwide is of critical importance to our understanding of the risk of louse-borne diseases. Methodology/Principal Findings Here, we report the results of the first molecular screening of pygmies’ head lice in the Republic of Congo for seven pathogens and an analysis of lice mitochondrial clades. We developed two duplex clade-specific real-time PCRs and identified three major mitochondrial clades: A, C, and D indicating high diversity among the head lice studied. We identified the presence of a dangerous human pathogen, Borrelia recurrentis, the causative agent of relapsing fever, in ten clade A head lice, which was not reported in the Republic of Congo, and B. theileri in one head louse. The results also show widespread infection among head lice with several species of Acinetobacter. A. junii was the most prevalent, followed by A. ursingii, A. baumannii, A. johnsonii, A. schindleri, A. lwoffii, A. nosocomialis and A. towneri. Conclusions/Significance Our study is the first to show the presence of B. recurrentis in African pygmies’ head lice in the Republic of Congo. This study is also the first to report the presence of DNAs of B. theileri and several species of Acinetobacter in human head lice. Further studies are needed to determine whether the head lice can transmit these pathogenic bacteria from person to another.
Public Perception and Acceptance of Nuclear Power

With data collected from a survey to Beijing residents,this paper adopt structural equation model to make an empirical analysis on Chinese people's perception and acceptance of nuclear power.The survey shows Beijing residents have a lower level of knowledge in terms of nuclear power,but they have a higher level of involvement,perceived value and perceived risk.The results indicate that public perceived value of nuclear power has a positive affection on their acceptance while perceived risk has a negative affection.Public perceived value can be increased through the improvement of involvement and trust.And public perceived risk can be decreased through the improvement of knowledge.
A Huffman based lossless compression algorithm for wireless sensor networks

Utilization of energy efficiently has been a main area of research in Wireless Sensor Networks (WSN). As sensors are battery operated, battery cannot be recharged frequently in the remote location where sensors are deployed. So energy optimization is of paramount importance to increase the battery life and hence the sensor network lifetime. Data compression can be an effective tool to reduce power consumption. In this paper, we have proposed a modified version of Huffman coding (MHC) algorithm for WSNs. We have taken data set of temperature variation from a sensing node. The compression ratio obtained is up to 64.325%, 60.51% and 63.08% for Le-Genepi deployment, Patrouille des Glaciers and St-Bernard deployment respectively.
Extensions of Linear Independent Component Analysis: Neural and Information-Theoretic Methods

Obtaining information from measured data is a general problem which is encountered in numerous applications and (cid:28)elds of science. A goal of many data analysis methods is to transform the observed data into a representation which reveals the information contained in the data. Methods for obtaining such representations include principal component analysis, projection pursuit, cluster analysis, and neural unsupervised learning methods. In the (cid:28)eld of neural networks, it has been suggested that one important goal of sensory coding is redundancy reduction, which can also be seen as the goal of many unsupervised learning methods. An explicit method for representing data in a non-redundant way is linear independent component analysis (ICA), where the observed data vectors are linearly transformed so that the transformed vector has independent components. The basic form of the linear ICA is relatively well understood. In this thesis, some extensions of independent component analysis are studied. Nonlinear transformations are considered and some existing unsupervised techniques are interpreted as implementing nonlinear ICA. New computationally e(cid:30)cient algorithms for computing linear ICA are developed, and some existing neural methods are shown to have connections to information-theoretic contrast functions. A problem of overdetermined ICA basis is solved in the case of binary components and algorithms for computing the basis are given. Finally, statistical independence as a measure of redundancy is extended using algorithmic information theory. This extension leads to a new de(cid:28)nition of ICA, which includes the standard linear ICA as a special case.
Cloud Computing Based Cognitive Radio Networking

This chapter describes state-of-the art techniques to improve performance of spectrum sensing and spectrum management in Cognitive Radio Networks (CRN) by leveraging services available in cloud computing platforms. CRNs are capable of adaptive learning and reconfiguration to provide consistent communications in dynamic environments. However, ensuring adaptation and learning in CRN will require availability of large volume of data and fast processing. However, the performance and security of CRN is considerably constrained by its limited power, memory and computational capacity, it may not be able to achieve its full capability. Fortunately, the advent of cloud computing has the potential to mitigate these constraints due its vast storage and computational capacity.
Compensatory biliary and urinary excretion of gadobenate ion after administration of gadobenate dimeglumine (MultiHance®) in cases of impaired hepatic or renal function: a mechanism that may aid in the prevention of nephrogenic systemic fibrosis?

Objective: To determine whether increased elimination of gadobenate ion via the hepatobiliary pathway might compensate for reduced/absent elimination via the urinary pathway in the event of compromised renal function, as a possible protective mechanism against nephrogenic systemic fibrosis (NSF). Methods: 15 male Crl:CD® R(SD)Br rats (Charles River Italia, Como, Italy) randomized to three treatment groups: (1) animals with occluded bile ducts, (2) animals with occluded renal vessels and (3) control animals, each received 0.25 mmol kg−1 of bodyweight of gadobenate dimeglumine (MultiHance®; Bracco Imaging SpA, Milan, Italy). Urine and bile were collected from 0−30, 30−60, 60−120, 120−240 and 240−480 min after gadobenate dimeglumine administration prior to exsanguination. Determinations of gadobenate ion in blood, bile and urine were performed by high-performance liquid chromatography. Gadolinium (Gd3+) levels in excised liver and kidneys were determined by X-ray fluorescence. Results: The recovery of gadobenate ion in the urine of rats with bile duct occlusion was significantly higher than that in the urine of normal rats (89.1 ± 4.2% vs 60.6 ± 2.8%; p < 0.0001). Conversely, mean recovery in the bile of rats with renal vessel occlusion was significantly higher than that in the bile of normal rats (96.16 ± 0.55% vs 33.5 ± 4.7%; p < 0.0001). Gadobenate ion was not quantifiable in any group 8 h post-injection. Conclusion: Compensatory elimination may be an effective means to overcome compromised renal or hepatobiliary elimination. Advances in knowledge: The absence of NSF in at-risk patients administered with gadobenate dimeglumine may in part reflect greater Gd3+ elimination via the hepatobiliary route.
Directed Expression of Keratin 16 to the Progenitor Basal Cells of Transgenic Mouse Skin Delays Skin Maturation

We previously hypothesized that the type I keratin 16 (K16) plays a role in the process of keratinocyte activation that occurs in response to skin injury (Paladini, R.D., K. Takahashi, N.S. Bravo, and P.A. Coulombe. 1996. J. Cell Biol. 132:381–397). To further examine its properties in vivo, the human K16 cDNA was constitutively expressed in the progenitor basal layer of transgenic mouse skin using the K14 gene promoter. Mice that express approximately as much K16 protein as endogenous K14 display a dramatic postnatal phenotype that consists of skin that is hyperkeratotic, scaly, and essentially devoid of fur. Histologically, the epidermis is thickened because of hyperproliferation of transgenic basal cells, whereas the hair follicles are decreased in number, poorly developed, and hypoproliferative. Microscopically, the transgenic keratinocytes are hypertrophic and feature an altered keratin filament network and decreased cell–cell adhesion. The phenotype normalizes at ∼5 wk after birth. In contrast, control mice expressing a K16-K14 chimeric protein to comparable levels are normal. The character and temporal evolution of the phenotype in the K16 transgenic mice are reminiscent of the activated EGF receptor– mediated signaling pathway in skin. In fact, tyrosine phosphorylation of the EGF receptor is increased in the newborn skin of K16 transgenic mice. We conclude that expression of K16 can significantly alter the response of skin keratinocytes to signaling cues, a distinctive property likely resulting from its unique COOH-terminal tail domain.