Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining and Summarizing Movie Reviews in Mobile Environment

In this paper, we design and develop various strategies required for sentiment analysis of movie domain in mobile environment. The main objective of review mining and summarization is extracting the features on which the reviewers express their opinions and determining whether the opinions are positive or negative. The sentiment classification is done by various classifiers such as maximum entropy, naive bayes, Support vector machine (SVM) model and, Random forest technique, to name a few. Movie rating score based on sentiment classification result. The movie feature extraction is done by various methodologies such as Latent semantic analysis (LSA) algorithm and Frequency based algorithm. The result of LSA is extended to filtering mechanism to reduce the size of review summary. We design our system by consideration of sentiment classification accuracy & system response time. The same design can be extended to other product review domain easily. Keywords— natural language processing, movie reviews, summarization, sentiment classification.
Generating-function method for tensor products

This is the first of two articles devoted to a exposition of the generating-function method for computing fusion rules in affine Lie algebras. The present paper is entirely devoted to the study of the tensor-product (infinite-level) limit of fusions rules. We start by reviewing Sharp’s character method. An alternative approach to the construction of tensor-product generating functions is then presented which overcomes most of the technical difficulties associated with the character method. It is based on the reformulation of the problem of calculating tensor products in terms of the solution of a set of linear and homogeneous Diophantine equations whose elementary solutions represent “elementary couplings. ” Grobner bases provide a tool for generating the complete set of relations between elementary couplings and, most importantly, as an algorithm for specifying a complete, compatible set of “forbidden couplings. ”
Rational Polytherapy with Antiepileptic Drugs

Approximately 30–40% of patients do not achieve seizure control with a single antiepileptic drug (AED). With the advent of multiple AEDs in the past 15 years, rational polytherapy, the goal of finding combinations of AEDs that have favorable characteristics, has become of greater importance. We review the theoretical considerations based on AED mechanism of action, animal models, human studies in this field, and the challenges in finding such optimal combinations. Several case scenarios are presented, illustrating examples of rational polytherapy.
ESE-1 is Required to Maintain the Transformed Phenotype of MCF-7 and ZR-75-1 Human Breast Cancer Cells

Background: ETS factors comprise a large transcription factor family known to play a significant role in cellular development, differentiation, and transformation. The human Epithelial Specific Ets factor-1, ESE-1, is particularly relevant in breast cancer. Specifically, increased mRNA expression of ESE-1 and the Her2/neu proto- oncogene are correlated in breast cancer, and activation of the Her2/Neu receptor induces ESE-1 gene transcription. Stable expression of ESE-1 initiated transformation of ESE-1-negative MCF-12A immortalized human mammary epithelial cells, leading to increased migration, invasion and anchorage independent growth. However, little is known about ESE-1 protein expression and its role in maintaining the transformed phenotype in human breast cancer cell lines. Results: Here, we used an anti-ESE-1 mouse monoclonal antibody in Western blot and immunofluorescent cell analyses to show that ESE-1 is expressed as a nuclear protein in MCF-7, T47D and ZR-75-1 transformed, tumorigenic mammary epithelial cell lines, and that it is not expressed in transformed MDA-MB-231 and nontransformed MCF-10A and MCF-12A cells. In addition, specific knockdown of endogenous ESE-1 in the human breast carcinoma ZR-75-1 and MCF-7 cell lines decreased colony formation and anchorage independent growth. Mechanistically, ESE-1 knockdown decreased cellular proliferation, but had no effect on apoptosis. Conclusions: These results establish that the knockdown of a single ETS factor, ESE-1, is sufficient to reverse the transformed phenotype in breast cancer and demonstrate that ESE-1 is required for cellular proliferation. Thus, ESE-1 plays a key role in maintaining the transformed phenotype in breast cancer, providing a novel single-point target for therapy.
Encyclopedia of E-business Development and Management in the Global Economy

The Encyclopedia of E-Business Development and Management in the Digital Economy creates a repository for educators, researchers, and industry professionals to collaborate and discuss their research ideas, theories, practical experiences, challenges, and opportunities, while presenting tools and techniques in all aspects of e-business development and management in the digital economy. As the first and most comprehensive book to present aspects from the research, industry, managerial, and technical sides of e-business, this collection appeals to policy-makers, e-business application developers, market researchers, managers, researchers, professors, and undergraduate/graduate students in various academic disciplines.
Habitat Specialization in Tropical Continental Shelf Demersal Fish Assemblages

The implications of shallow water impacts such as fishing and climate change on fish assemblages are generally considered in isolation from the distribution and abundance of these fish assemblages in adjacent deeper waters. We investigate the abundance and length of demersal fish assemblages across a section of tropical continental shelf at Ningaloo Reef, Western Australia, to identify fish and fish habitat relationships across steep gradients in depth and in different benthic habitat types. The assemblage composition of demersal fish were assessed from baited remote underwater stereo-video samples (n = 304) collected from 16 depth and habitat combinations. Samples were collected across a depth range poorly represented in the literature from the fringing reef lagoon (1–10 m depth), down the fore reef slope to the reef base (10–30 m depth) then across the adjacent continental shelf (30–110 m depth). Multivariate analyses showed that there were distinctive fish assemblages and different sized fish were associated with each habitat/depth category. Species richness, MaxN and diversity declined with depth, while average length and trophic level increased. The assemblage structure, diversity, size and trophic structure of demersal fishes changes from shallow inshore habitats to deeper water habitats. More habitat specialists (unique species per habitat/depth category) were associated with the reef slope and reef base than other habitats, but offshore sponge-dominated habitats and inshore coral-dominated reef also supported unique species. This suggests that marine protected areas in shallow coral-dominated reef habitats may not adequately protect those species whose depth distribution extends beyond shallow habitats, or other significant elements of demersal fish biodiversity. The ontogenetic habitat partitioning which is characteristic of many species, suggests that to maintain entire species life histories it is necessary to protect corridors of connected habitats through which fish can migrate.
REM sleep

Rapid eye movement (REM) sleep was first identified by its most obvious behavior: rapid eye movements during sleep. In most adult mammals, the electroencephalogram (EEG) of the neocortex is low in voltage during REM sleep. The hippocampus has regular high-voltage theta waves throughout REM sleep. The key brain structure for generating REM sleep is the brainstem, particularly the pons and adjacent portions of the midbrain. These areas and the hypothalamus contain cells that are maximally active in REM sleep, called REM-on cells, and cells that are minimally active in REM sleep, called REMoff cells. Subgroups of REM-on cells use the transmitters gamma-aminobutyric acid (GABA), acetylcholine, glutamate, or glycine. Subgroups of REM-off cells use the transmitters norepinephrine, epinephrine, serotonin, and histamine. It is likely that interactions between REM-on and REM-off cells control the key phenomena of REM sleep. Destruction of the entire area of midbrain and pons responsible for REM sleep generation can prevent the occurrence of this state. Damage to portions of the brainstem can cause abnormalities in certain aspects of REM sleep. Of particular interest are manipulations that affect the regulation of muscle tone in REM sleep. Lesions in the pons and medulla cause REM sleep to occur without the normal loss of muscle tone. In REM sleep without atonia, animals exhibit locomotor activity, appear to attack imaginary objects, and execute other motor programs during a state that otherwise resembles REM sleep. This syndrome may have some commonalties with the REM sleep behavior disorder seen in humans. Stimulation of portions of the REM sleep–controlling area of the pons can produce a loss of muscle tone in antigravity and respiratory musculature. Hypocretin neurons, located in the hypothalamus, contribute to the regulation of the activity of norepinephrine, serotonin, histamine, and acetylcholine cell groups and have potent effects on arousal and motor control. Most cases of narcolepsy are caused by a loss of hypocretin neurons.
State-Feedback Stabilization for High-Order Stochastic Nonlinear Systems with Stochastic Inverse Dynamics

For a class of high-order stochastic nonlinear systems with stochastic inverse dynamics which are neither necessarily feedback linearizable nor affine in the control input, this paper investigates the problem of state-feedback stabilization for the first time. Under some weaker assumptions, a smooth state-feedback controller is designed, which ensures that the closed-loop system has an almost surely unique solution on [0, infin), the equilibrium at the origin of the closed-loop system is globally asymptotically stable in probability, and the states can be regulated to the origin almost surely.
The Information Needs of Mobile Searchers: A Framework

The growing use of Internet-connected mobile devices demands that we reconsider search user interface design in light of the context and information needs specific to mobile users. In this paper the authors present a framework of mobile information needs, juxtaposing search motives —casual, lookup, learn, and investigate—with search types —informational, geographic, personal information management, and transactional.
Evaluation of tissue-engineered bone constructs using rabbit fetal osteoblasts on acellular bovine cancellous bone matrix

Aim: The aim of this study was to generate composite bone graft and investigate the rabbit fetal osteoblasts adhesion, proliferation and penetration on acellular matrices of cancellous bone. Materials and Methods: Acellular cancellous bone was prepared and developed as in the previous study with little modification. These matrices were decellularized by rapid freeze and thaw cycle. To remove the cell debris, they were then treated with hydrogen peroxide (3%) and ethanol to remove antigenic cellular and nuclear materials from the scaffold. Primary osteoblast cells were harvested from 20 to 22 days old rabbit fetal long and calvarial bone. These cells were cultured and characterized using a specific marker. The third passaged fetal osteoblast cells were then seeded on the scaffold and incubated for 14 days. The growth pattern of the cells was observed. Scanning electron microscope and hematoxylin and eosin staining were used to investigate cells proliferation. Results: The cells were found to be growing well on the surface of the scaffold and were also present in good numbers with the matrix filopodial extensions upto inside of the core of the tissue. Conclusion: Thus, a viable composite scaffold of bone could be developed which has a great potential in the field of bone tissue engineering.
Implementation of the Canadian C-Spine Rule: prospective 12 centre cluster randomised trial

Objective To evaluate the effectiveness of an active strategy to implement the validated Canadian C-Spine Rule into multiple emergency departments. Design Matched pair cluster randomised trial. Setting University and community emergency departments in Canada. Participants 11 824 alert and stable adults presenting with blunt trauma to the head or neck at one of 12 hospitals. Interventions Six hospitals were randomly allocated to the intervention and six to the control. At the intervention sites, active strategies were used to implement the Canadian C-Spine Rule, including education, policy, and real time reminders on radiology requisitions. No specific intervention was introduced to alter the behaviour of doctors requesting cervical spine imaging at the control sites. Main outcome measure Diagnostic imaging rate of the cervical spine during two 12 month before and after periods. Results Patients were balanced between control and intervention sites. From the before to the after periods, the intervention group showed a relative reduction in cervical spine imaging of 12.8% (95% confidence interval 9% to 16%; 61.7% v 53.3%; P=0.01) and the control group a relative increase of 12.5% (7% to 18%; 52.8% v 58.9%; P=0.03). These changes were significant when both groups were compared (P<0.001). No fractures were missed and no adverse outcomes occurred. Conclusions Implementation of the Canadian C-Spine Rule led to a significant decrease in imaging without injuries being missed or patient morbidity. Final imaging rates were much lower at intervention sites than at most US hospitals. Widespread implementation of this rule could lead to reduced healthcare costs and more efficient patient flow in busy emergency departments worldwide. Trial registration Clinical trials NCT00290875.
An adaptive hybrid model based on improved recommendation algorithms

Recommender system uses knowledge discovery techniques to filters information for users, generate personalized recommendations, and help users find the information they need. On the other hand, it helps the company achieve personalized marketing goal, thus helps promote sales, and creates more profits for them. This paper mainly studies the various current recommendation algorithms, including collaborative filtering, association rules, and makes some improvements. Besides, this paper presents an adaptive hybrid model based on a variety of improved recommendation algorithms. Experimental results show that compared with traditional recommendation algorithms, the improved algorithm proposed in this paper has higher accuracy and validity.
Inverse modeling of geochemical and mechanical compaction in sedimentary basins through Polynomial Chaos Expansion

We present an inverse modeling procedure for the estimation of model parameters of sedimentary basins subject to compaction driven by mechanical and geochemical processes. We consider a sandstone basin whose dynamics are governed by a set of unknown key quantities. These include geophysical and geochemical system attributes as well as pressure and temperature boundary conditions. We derive a reduced (or surrogate) model of the system behavior based on generalized Polynomial Chaos Expansion (gPCE) approximations, which are directly linked to the variance‐based Sobol indices associated with the selected uncertain model parameters. Parameter estimation is then performed within a Maximum Likelihood (ML) framework. We then study the way the ML inversion procedure can benefit from the adoption of anisotropic polynomial approximations (a‐gPCE) in which the surrogate model is refined only with respect to selected parameters according to an analysis of the nonlinearity of the input‐output mapping, as quantified through the Sobol sensitivity indices. Results are illustrated for a one‐dimensional setting involving quartz cementation and mechanical compaction in sandstones. The reliability of gPCE and a‐gPCE approximations in the context of the inverse modeling framework is assessed. The effects of (a) the strategy employed to build the surrogate model, leading either to a gPCE or a‐gPCE representation, and (b) the type and quality of calibration data on the goodness of the parameter estimates is then explored.
Semantic Image Retrieval in Magnetic Resonance Brain Volumes

Practitioners in the area of neurology often need to retrieve multimodal magnetic resonance (MR) images of the brain to study disease progression and to correlate observations across multiple subjects. In this paper, a novel technique for retrieving 2-D MR images (slices) in 3-D brain volumes is proposed. Given a 2-D MR query slice, the technique identifies the 3-D volume among multiple subjects in the database, associates the query slice with a specific region of the brain, and retrieves the matching slice within this region in the identified volumes. The proposed technique is capable of retrieving an image in multimodal and noisy scenarios. In this study, support vector machines (SVM) are used for identifying 3-D MR volume and for performing semantic classification of the human brain into various semantic regions. In order to achieve reliable image retrieval performance in the presence of misalignments, an image registration-based retrieval framework is developed. The proposed retrieval technique is tested on various modalities. The test results reveal superior robustness performance with respect to accuracy, speed, and multimodality.
The One-Share-One-Vote Controversy in the EU

The proposal by the European Commission (EC) to establish shareholder democracy and mandate the one-share-one-vote (1S1V) rule has drawn much attention and controversy. In the pursuit of enhancing the rule’s popular appeal, EC policy-makers have tried to make equiproportional representation nearly an aphorism tied to corporate egalitarian sentiments underscoring justice, fairness and ethics. Against this background, the question of who could be against or oppose shareholder democracy and the 1S1V principle has both positive and normative implications. Based on a review of law, finance and economics literature, this paper evaluates the economic underpinnings and efficiency of the 1S1V rule and concludes that it is generally a suboptimal corporate voting mechanism that compromises economic efficiency and distorts the incentives of corporate constituencies. Moreover, it is submitted that any attempt to mandate the 1S1V rule in the EU may induce companies to either move to pyramidal structures, or worse yet, to use complex derivative instruments to decompose 1S1V. While pyramidal holdings may further facilitate the expropriation of private benefits of control as compared with the status-quo, the decomposition of 1S1V can i) advance the heterogeneity of shareholders’ preferences, ii) create incentives for negative voting arbitrage and iii) encourage the approval of value-reducing transactions, or more detrimentally, become a takeover defence. Hence, even if the EC could hypothetically move corporate Europe from controlled ownership structures to minority ownership ones, the 1S1V rule is clearly worse than the status quo, and paradoxically, instead of advancing the rights of ‘disadvantaged shareholders’, 1S1V can further demote shareholder rights in the EU. As a result, 1S1V cannot promote a value-enhancing corporate governance regime in the EU in general or meet the policy objectives of the intervention in particular in terms of strengthening the rights of shareholders, enhancing third-party protection or fostering the efficiency and competitiveness of businesses in the EU. On the normative side, the issue is how corporate law can efficiently police the ability of controlling shareholders to expropriate rights from minority shareholders in general and extract private benefits in particular. Generally, it is asserted that if a corporate law regime is adequately structured, there is less need to worry about the voting rule and non-proportionate votes would not be a serious concern. In this light, this paper concludes by outlining some policy alternatives. First, it is proposed that EC policy-makers refrain from taking any measure at the level of the Community and instead strengthen disclosure rules and their enforcement. Furthermore, some standards of review governing significant conflict-of-interest transactions can be introduced. Second, it is submitted that EC policy-makers can also provide for opt-in and opt-out provisions for the member states. Such menus should once again be complemented by rigorous disclosure rules and their enforcement.
A constraint solver for flexible protein models

This paper proposes the formalization and implementation of a novel class of constraints aimed at modeling problems related to placement of multi-body systems in the 3-dimensional space. Each multi-body is a system composed of body elements, connected by joint relationships and constrained by geometric properties. The emphasis of this investigation is the use of multi-body systems to model native conformations of protein structures--where each body represents an entity of the protein (e.g., an amino acid, a small peptide) and the geometric constraints are related to the spatial properties of the composing atoms. The paper explores the use of the proposed class of constraints to support a variety of different structural analysis of proteins, such as loop modeling and structure prediction. The declarative nature of a constraint-based encoding provides elaboration tolerance and the ability to make use of any additional knowledge in the analysis studies. The filtering capabilities of the proposed constraints also allow to control the number of representative solutions that are withdrawn from the conformational space of the protein, by means of criteria driven by uniform distribution sampling principles. In this scenario it is possible to select the desired degree of precision and/or number of solutions. The filtering component automatically excludes configurations that violate the spatial and geometric properties of the composing multi-body system. The paper illustrates the implementation of a constraint solver based on the multi-body perspective and its empirical evaluation on protein structure analysis problems.
Why Don't Girls Choose Technological Studies? Adolescents' Stereotypes and Attitudes towards Studies Related to Medicine or Engineering

Gender differences in choice of studies emerge already in adolescence. Two studies with adolescents are presented, the goal of which is to explore the influence of gender by assessing males and females who choose studies related to Medicine or Engineering. Study 1, correlational (N = 330, mean age 15.9, 56.7% girls), shows that girls who choose technology are more poorly appraised than girls who choose other studies. Study 2 (N = 130; mean age 16.77, 56.2% girls), experimental, measures implicit attitudes (using the IAT) towards males and females from Medicine and Engineering. Implicit attitudes are more favorable towards women if they are studying Medicine and towards men if they study Engineering. The results are analyzed with relation to the percentages of boys and girls in the different fields of study. Las diferencias de género en elección de estudios aparecen ya en la adolescencia. Se presentan dos estudios con muestras de adolescentes, cuyo objetivo es explorar la influencia del género al evaluar a hombres y mujeres que eligen estudios relacionados con Medicina o con Ingeniería. El estudio 1, correlacional (N = 330; media de edad 15,9), muestra que la chica de tecnología es peor evaluada que la que elige otro tipo de estudios. El estudio 2 (N = 130; media de edad 17,8), experimental, mide actitudes implícitas (utilizando el IAT) hacia hombres y mujeres de Medicina e Ingeniería. Las actitudes implícitas hacia las mujeres son más favorables si pertenecen a Medicina y hacia los hombres si pertenecen a Ingeniería. Los resultados se analizan en relación con las tasas de chicas y chicos en las distintas ramas de estudio.