Miracle-dz/UniFAR-FTUs huggingface dataset:
Reducing Endogenous Tau Ameliorates Amyloid ß-Induced Deficits in an Alzheimer's Disease Mouse Model

Many potential treatments for Alzheimer's disease target amyloid-β peptides (Aβ), which are widely presumed to cause the disease. The microtubule-associated protein tau is also involved in the disease, but it is unclear whether treatments aimed at tau could block Aβ-induced cognitive impairments. Here, we found that reducing endogenous tau levels prevented behavioral deficits in transgenic mice expressing human amyloid precursor protein, without altering their high Aβ levels. Tau reduction also protected both transgenic and nontransgenic mice against excitotoxicity. Thus, tau reduction can block Aβ- and excitotoxin-induced neuronal dysfunction and may represent an effective strategy for treating Alzheimer's disease and related conditions.
A model to Predict Churn

This Master Thesis has been performed at Svenska Spel with the aim to detect playing customers probability to churn, i.e. quit their gambling. The first part of the Thesis consists of some previously work done within the field, some facts about Svenska Spel and explanations of used software. The next part describes how the work has been done and the third part give the reader the theory behind the prediction model. The model used for prediction churn is Logistic Regression with related statistical test to investigate and verify the model. Finally, a prediction model and verification results are presented.
Opportunities for development of local forest markets: the case of Amish furniture manufacturing

A dramatic decline in the production of hardwood furniture in the United States has had profound impacts on employment and hardwood markets. Against this backdrop, the Amish-based furniture manufacturing cluster in Ohio has expanded and hardwood lumber consumption by the cluster is significant. Recent research suggests that 71 percent of firms in the cluster expanded during a 3-year period from 2006-2008, even as the overall domestic industry contracted. Another measure of success (and indicative of the small size of many of the firms) is the finding that a plurality of firms (46 percent) began their operations by retrofitting existing buildings (often farm buildings), but that most firms had since expanded by constructing new facilities (56 percent). Clustering has enabled several competitive advantages related to supply chain management, productivity, and distribution, and has led to local forest-based development. For example, a considerable volume of wood manufacturing inputs, and final product sales, are based on local and regional markets, although finished products are distributed throughout the United States. The Amish furniture cluster in Ohio is a case of a small-scale solution that can compete in a global market, and therefore benefit forest landowners through development of local forest markets.
The effect of supply chain integration on demand planning process. An empirical evaluation

One of supply chain management concepts, strongly conditioned upon inter-organizational integration, is demand planning, encompassing a sequence of activities concerning the coordinated flow of demand through companies, effectively supported by specific methods and technical instruments. The paper seeks to explore the contribution of multidimensional aspects of supply chain integration in the methods and instruments supporting demand planning process. In order to achieve this goal, the research methodology was employed. Having performed a Principal Component Analysis (PCA) with varimax rotation in a space of the variables manifesting supply chain integration, the constructs were extracted and employed as classification criteria in a cluster analysis. The results of the study show that the examined supply chains may be grouped into three classes having distinct characteristics. The findings of the paper demonstrate the types and intensity of the use of methods and instruments supporting demand planning process regarding the level of supply chain integration.
Optimal design of a linear induction motor for subway system

Optimal design by means of finite element models is complex and time consuming. The Efficient Global Optimization (EGO) based on the progressive construction of a Kriging model used to drive the optimization problem allows for an affordable optimization time. In this paper, a linear induction motor (LIM) with double primaries for the subway system is designed, based on the validated 2D finite element model at reduced scale and the tramway's needs. The optimal design problem of LIM is formulated using the rated point design approach and achieved using the EGO algorithm.
Extraction and separation of U(VI) and Th(IV) from hydrobromic acid media using Cyanex-923 extractant

A systematic study of the solvent extraction of uranium(VI) and thorium(IV) from hydrobromic acid media was performed using the neutral phosphine oxide extractant Cyanex-923 in toluene. These metal ions were found to be quantitatively extracted with Cyanex-923 in toluene in the acidity range 5x10-5-1x10-4 M and 5x10-5-5x10-3 M, respectively, and they are stripped from the organic phase with 7.0 M HClO4 and 2.0- 4.0 M HCl, respectively. The effect of the equilibrium period, diluents, diverse ions and stripping agent on the extraction of U(VI) and Th(IV) was studied. The stoichiometry of the extracted species of these metal ions was determined based on the slope analysis method. The extraction reactions proceed by solvation and their probable extracted species found in the organic phase were UO2Br2•2Cyanex-923 and ThBr4•2Cyanex-923. Based on these results, a sequential procedure for their separation from each other was developed.
The Relationship of Social Media with Fashion Consciousness and Consumer Buying Behavior

with Fashion Consciousness and Consumer Purchase (Buying Behavior). Students of Higher Educational institutes of Karachi were the targeted population of the study. A convenience sampling strategy was adopted for the collection of data. The proposed study uses standardized questionnaire and 300 questioners were distributed among respondents randomly and got back 262 responses. The results of the study indicated that there is a weak significant relationship between Social Media and Fashion Consciousness, so as between Social Media and Consumer Purchase Behavior. However results of the study do not align with the statement that Customers spend more than Rs. 4000 per shopping trip.
The induction of oocyte maturation: transmembrane signaling events and regulation of the cell cycle.

The induction of oocyte maturation is known to involve an initial action of agonists at the oocyte surface. This leads to activation of a cytoplasmic maturation-promoting factor (MPF) which induces the observable events associated with maturation (reviews by Smith and Ecker, 1970; Smith, 1975; Wasserman and Smith, 19786; Baulieu et al. 1978; Masui and Clark, 1979; Mailer and Krebs, 1980; Mailer, 1983; Gerhart et al. 1985; Masui and Shibuya, 1987). Recently, major advances have been made in the characterization of MPF and its mode of action in regulating cell cycle events. New evidence also has been obtained concerning the transmembrane signaling events that lead to MPF activation. The purpose of this article is to review and integrate these advances, partly in the context of earlier work in the field.
An Optimized Content Replication and Distribution Framework for Vehicular Networks

Future road vehicles are expected to support point-to-point and long-range wireless connectivity as a standard feature, allowing data transfers while moving. In this vein, it is possible to forecast and develop new communication paradigms, as well as new infrastructures to take advantage of peculiarities of vehicular networks. This article introduces an optimized framework, on the basis of peer-to-peer principles, to manage content replication and dissemination through a mobile vehicular network. This is obtained through a discrete-time dynamic system over which an optimization problem must be solved in real time. Such a solution enables two different operations: (a) to overcome bandwidth limitations for distributing information among vehicles (e.g., traffic or security bulletins and multimedia contents) in an efficient way; (b) to use the vehicular flow as a virtual backbone to deliver data to different spatial locations without the need of a fixed network infrastructure. Simulations are provided to show the effectiveness of the proposed approach, with respect to classic peer-to-peer distribution schemes directly “ported” over the vehicular network. A direct comparison with an infrastructure-oriented solution is also presented.
The Analysis of Model for Mobile CRM

ABSTRACT Nowadays mobile users love to check e-mails and many other applications in their mobile devices. E-commerce will soon become mobile commerce because mobile devices; in some respect are more convenient than computer. However, how business can nurture customer relationship as well as business can acquiring or maintain customer? That’s why this study wants to develop and analyze a model to assist business setup mobile customer relationship management. This paper present three respects in mobile customer relationship management which includes inside business, outside business and user’s view. Furthermore this paper is also present the relationship between them. Moreover we discuss the enterprise mobile security requirements. By surveying papers on mobile customer relationship management for models to be integrated, the research develops and analyzes a feasible model for mobile customer relationship management. Keywords: Mobile customer relationship management, mobile commerce, pricing, regulator, campaign logic.
Of Pride and Prejudice: The Role of Sociology and Social Networks in Integrating the Health Sciences∗

Calls have been issued for understanding the “contexts” or “environment” shaping the causes and consequences of health and health care. Existing efforts raise concerns about how a panorama of influences can be considered simultaneously. Sociology's view of contexts as social network structures that shape and are shaped in social interaction offers one key to resolving this dilemma. Because social networks have become central in the social, natural, and physical sciences, this perspective provides a common platform for bringing in sociology's rich theoretical and methodological insights. Yet, to do this well, three conditions must shape our response. First, all levels relevant to health and health care must be considered, separated out, and linked by network mechanisms. The genetic-biological level, perhaps the most foreign level to sociologists, represents the greatest need and best prospect for advancing a sociologically based solution. Second, room must be made to tailor models to populations, whether defined socially or medically. Third, sociologists must find a voice within “big science” to address problems from social construction to social causation that contribute to basic social processes as well as health. I trace developments in the Network-Episode Model as one theoretical starting point.
USE OF LASER FLUORESCENCE ( DIAGNODENT TM ) FOR IN VIVO DIAGNOSIS OF OCCLUSAL CARIES : A SYSTEMATIC

RESUMO his systematic review was conducted to assess the accuracy of laser fluorescence (DIAGNOdentTM) for diagnosis of occlusal caries in permanent teeth, using any sort of gold standard. The MEDLINE, LILACS, BBO and Cochrane library databases accessed by BIREME were searched for English, Spanish and Portuguese-language papers published between 1982 and 2003. Four works in English were selected. DIAGNOdentTM was found to be an accurate method for diagnosis of occlusal caries, mainly if employed simultaneously with visual inspection. Uniterms: Lasers; Fluorescence; Dental caries.
PERIODIC SCHEDULINGWITH SERVICE CONSTRAINTS SHOSHANA ANILY

We consider the problem of servicing a number of objects in a discrete time environment. In each period, we may select an object that will receive a service in the period. Each time an object is serviced, we incur a servicing cost dependent on the time since the object’s last service. Problems of this type appear in many contexts, e.g., multiproduct lot-sizing, machine maintenance, and several problems in telecommunications. We assume that at most one object can be serviced in a given period. For the general problem with m objects, which is known to be NP-Hard, we describe properties of an optimal policy; and for the speci0c case of m= 2 objects, we determine an optimal policy.
Literature on the aetiology of hypospadias in the last 5 years: molecular mechanism and environmental factors

Year‐by‐year, there has been an increasing number of literature on hypospadias, and most of them are mainly focused on two aspects, namely surgical techniques and aetiology, including the molecular mechanism and associated environmental factors. Surgical techniques and nursing levels are being continuously improved. However, in stark contrast, the study of aetiology still lags behind. Up to now, there is still no consensus on the aetiology of hypospadias, including the molecular mechanism and associated environmental factors. To obtain an overall and latest result on the aetiology, we reviewed published literature regarding the aetiology of hypospadias including the molecular mechanism and associated environmental factors in PubMed in the last 5 years. Thirty‐seven studies on the aetiology of hypospadias including molecular mechanism and associated environmental factors were found, of which 25 were about associated environmental factors, and they were described according to the aspects of chemicals, parental characteristics, nutrition and hormones. The remaining studies were about the hormone‐dependent phase of molecular mechanism, namely androgen‐related genes and oestrogen‐related genes. Furthermore, the various points of view were classified and discussed in detail.
Robust fuzzy fault estimation based on decoupled transform and unknown input sliding mode observer

In this study, a novel fuzzy unknown input observer for robust fault estimation scheme is developed when both faults and unknown input are considered. The proposed scheme includes component fault with nonlinear distribution matrix in state equation, unknown input signal in state and output equations. After that, Takagi-Sugeno (T-S) model is used to create multiple models. While T-S model is used for only the nonlinear distribution matrix of the fault signal, a larger category of nonlinear system will be included. Two set of observers are considered, the first one is extended fuzzy unknown input observer (EFUIO) and the other one is fuzzy sliding mode observer (FSMO). The approach decoupled the faulty subsystem from the rest of the system through a series of linear transformations. Then, the objective is to design EFUIO to guarantee the asymptotic stability of the error dynamic using the Lyapunov method. Unknown input is removed; meanwhile, FSMO is designed for faulty subsystem to guarantee estimation of fault. Sufficient conditions are established in order to guarantee the convergence of the state estimation error and the results are formulated in the form of linear matrix inequalities (LMIs). Finally, a simulation study on an electromagnetic suspension system (EMS) is presented to demonstrate the performance of the results compared with a pure SMO.
Image Analysis Through Multifractal Description

This work is intended to provide a multifractal approach to the problem of edge detection in images. We show that an alternative description of images, based on the multifractal characterization of the signal, can be used instead of the classical approach that involves smoothing of the discrete data in order to compute derivatives. We focus on the study of edge detection using measures defined as functions of the grey level values in the neighborhood of a given pixel. Each measure is studied through the way it reacts to different types of edges and noise added to the image. Finally, we mention how the use of the multifractal spectrum (A, f(A)) may lead to a global approach to the problems of edge detection and region extraction.
Review on towards efficient mining of recurrent patterns in time series data

Recurring patterns are ubiquitous in large datasets. In various applications, they can gives useful information pertaining to seasonal or temporal associations between items. In the web blog, various recurrent patterns are found which contain useful information. Finding recurring patterns is a non-trivial task because of main reasons. Each recurring pattern is associated with temporal information pertaining to its durations of periodic appearances in a series. Obtaining this information is challenging because the information can vary within and across patterns. There are many recurrent pattern algorithms, but there is a trade-off between algorithms efficiency and speed. This is the review paper of all algorithm for discovering the recurrent pattern in the time series data.
Demographic Assessment of Plant Cultivar Resistance to Insect Pests: A Case Study of the Dusky-Veined Walnut Aphid (Hemiptera: Callaphididae) on Five Walnut Cultivars

ABSTRACT To provide a comprehensive evaluation of walnut cultivar resistance to the dusky-veined walnut aphid, Panaphis juglandis (Goeze), we collected the life table data of this aphid reared on five cultivars of walnut (‘Akça I,’ ‘Chandler,’ ‘Fernette,’ ‘Fernor,’ and ‘Pedro’) under field conditions. The raw data of the developmental time, survival rate, and fecundity was analyzed using the age-stage, two-sex life table to account for the variable developmental rate and stage differentiation among individuals. Due to the species' longer immature developmental time, shorter adult longevity, shorter reproduction period, and lower fecundity, the net reproduction rate (R0=5.9 offspring), intrinsic rate of increase (r=0.0983 d-1), and finite rate (&lgr;=1.1034 d-1) were the lowest when aphids were reared on the Fernor cultivar, while those reared on Akça I exhibited the highest population parameters (R0=18.0 offspring, r=0.2031 d-1, and &lgr;=1.2252 d-1). Based on the population characteristics, Fernor is a less favorable cultivar for the development and reproduction of P. juglandis. We also demonstrated the advantages of using bootstrapping for the analysis of standard errors of developmental time, longevity, fecundity, and other parameters as well. Our results indicated that demographic analysis of pest development, survival, and reproduction based on the agestage, two-sex life table offers a comprehensive assessment of pest growth potential on different crop cultivars.
Cse1l Is Essential for Early Embryonic Growth and Development

ABSTRACT The CSE1L gene, the human homologue of the yeast chromosome segregation gene CSE1, is a nuclear transport factor that plays a role in proliferation as well as in apoptosis.CSE1 and CSE1L are essential genes inSaccharomyces cerevisiae and mammalian cells, as shown by conditional yeast mutants and mammalian cell culture experiments with antisense-mediated depletion of CSE1L. To analyze whether CSE1L is also essential in vivo and whether its absence can be compensated for by other genes or mechanisms, we have cloned the murine CSE1L gene (Cse1l) and analyzed its tissue- and development-specific expression: Cse1l was detected at embryonic day 7.0 (E7.0), E11.0, E15.0, and E17.0, and in adults, high expression was observed in proliferating tissues. Subsequently, we inactivated the Cse1l gene in embryonic stem cells to generate heterozygous and homozygous knockout mice. Mice heterozygous for Cse1l appear normal and are fertile. However, no homozygous pups were born after interbreeding of heterozygous mice. In 30 heterozygote interbreeding experiments, 50Cse1l wild-type mice and 100 heterozygotes were born but no animal with both Cse1l alleles deleted was born. Embryo analyses showed that homozygous mutant embryos were already disorganized and degenerated by E5.5. This implicates with high significance (P < 0.0001, Pearson chi-square test) an embryonically lethal phenotype of homozygous murine CSE1deficiency and suggests that Cse1l plays a critical role in early embryonic development.
Internet Surveys: Obtaining Feedback From Clinical Site Coordinators

The authors describe the importance of receiving input from clinical agencies' site coordinators who work with nursing faculty and the subsequent development of an online survey for this purpose. Through the use of free Internet survey software, a customized questionnaire was designed by faculty in an undergraduate nursing program. The Internet survey uses clinical education standards from the nursing program to measure participants' responses linked to curriculum objectives.
Associations between gestational weight gain and BMI, abdominal adiposity, and traditional measures of cardiometabolic risk in mothers 8 y postpartum.

BACKGROUND Researchers have proposed biologically plausible mechanisms linking excessive gestational weight gain (GWG) to maternal metabolic and cardiovascular diseases later in life. OBJECTIVE The objective was to determine the extent to which GWG was associated with abdominal adiposity and other cardiometabolic risk factors in a sample of women 4-12 y after delivery. DESIGN We used data from The Women's and Infants' Study of Healthy Hearts, a cohort of women who gave birth between 1997 and 2002 at Magee-Womens Hospital in Pittsburgh, PA. By design, women with small-for-gestational-age and preterm births were oversampled. Women with preeclampsia, prepregnancy hypertension, or diabetes were excluded. GWG was ascertained from prenatal records, and GWG adequacy was assessed according to 2009 Institute of Medicine/National Research Council guidelines. Abdominal obesity was defined as waist circumference (WC) >88 cm and weight change as current weight - prepregnancy weight. RESULTS The prevalence of inadequate, adequate, and excessive GWG was 22% (107/478), 30% (145/478), and 47% (226/478), respectively. The analyses were adjusted for age at outcome assessment, prepregnancy BMI, marital status and insurance at delivery, race, smoking during target pregnancy, and current education, parity, and smoking. Associations between excessive GWG and blood pressure, lipids, glucose, insulin, and metabolic syndrome were null. However, women with excessive GWG had a 3.6-kg (1.5, 5.6) greater weight change, a 3.2-cm (1.2, 5.2) greater WC, and 3-fold greater odds of abdominal obesity (2.9; 1.6, 5.1) compared with women who gained weight as recommended. CONCLUSION Excessive GWG is associated with long-term maternal abdominal adiposity, which may increase a woman's risk of cardiovascular and metabolic disease.