Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatiotemporal correlation in WebGIS group-user intensive access patterns

ABSTRACT Group-user intensive access to WebGIS exhibits spatiotemporal behaviour patterns with aggregation features and regularity distributions when geospatial data are accessed repeatedly over time and aggregated in certain spatial areas. We argue that these observable group-user access patterns provide a foundation for improved optimization of WebGIS so that it can respond to volume intensive requests with a higher quality of service and improve performance. Subsequently, a measure of access popularity distribution must precisely reflect the access aggregation and regularity features found in group-user intensive access. In our research, we considered both the temporal distribution characteristics and spatial correlation in the access popularity of tiled geospatial data (tiles). Based on the observation that group-user access follows a Zipf-like law, we built a tile-access popularity distribution based on time-sequence, to express the access aggregation of group-users with heavy-tailed characteristics. Considering the spatial locality of user-browsed tiles, we built a quantitative expression for the correlation between tile-access popularities and the distances to hotspot tiles, reflecting the attenuation of tile-access popularity to distance. Moreover, given the geographical spatial dependency and scale attribute of tiles, and the time-sequence of tile-access popularity, we built a Poisson regression model to express the degree of correlation among the accesses to adjacent tiles at different scales, reflecting the spatiotemporal correlation in tile access patterns. Experiments verify the accuracy of our Poisson regression model, which we then applied to a cluster-based cache-prefetching scenario. The results show that our model successfully reflects the spatiotemporal aggregation features of group-user intensive access and group-user behaviour patterns in WebGIS. The refined mathematical method in our model represents a time-sequence distribution of intensive access to tiles and the spatial aggregation and correlation in access to tiles at different scales, quantitatively expressing group-user spatiotemporal behaviour patterns with aggregation features and a regular distribution. Our proposed model provides a precise and empirical basis for performance-optimization strategies in WebGIS services, such as planning computing resource allocation and utilization, distributed storage of geospatial data, and providing distributed services so as to respond rapidly to geospatial data requests, thus addressing the challenges of volume-intensive user access.
Tumor and Stem Cell Biology De fi nition of Genetic Events Directing the Development of Distinct Types of Brain Tumors from Postnatal Neural Stem / Progenitor Cells

Although brain tumors are classified and treated based upon their histology, the molecular factors involved in the development of various tumor types remain unknown. In this study, we show that the type and order of genetic events directs the development of gliomas, central nervous system primitive neuroectodermal tumors, and atypical teratoid/rhabdoid-like tumors from postnatal mouse neural stem/progenitor cells (NSC/NPC). We found that the overexpression of specific genes led to the development of these three different brain tumors from NSC/NPCs, and manipulation of the order of genetic events was able to convert one established tumor type into another. In addition, loss of the nuclear chromatin-remodeling factor SMARCB1 in rhabdoid tumors led to increased phosphorylation of eIF2a, a central cytoplasmic unfolded protein response (UPR) component, suggesting a role for the UPR in these tumors. Consistent with this, application of the proteasome inhibitor bortezomib led to an increase in apoptosis of human cells with reduced SMARCB1 levels. Taken together, our findings indicate that the order of genetic events determines the phenotypes of brain tumors derived from a common precursor cell pool, and suggest that the UPR may represent a therapeutic target in atypical teratoid/ rhabdoid tumors. Cancer Res; 72(13); 3381–92. 2012 AACR.
Effect of benzoic acid on metabolic fluxes in yeasts: A continuous‐culture study on the regulation of respiration and alcoholic fermentation

Addition of benzoate to the medium reservoir of glucose‐limited chemostat cultures of Saccharomyces cerevisiae CBS 8066 growing at a dilution rate (D) of 0.10 h−1 resulted in a decrease in the biomass yield, and an increase in the specific oxygen uptake rate (qO2) from 2.5 to as high as 19.5 mmol g−1h−1. Above a critical concentration, the presence of benzoate led to alcoholic fermentation and a reduction in (qO2) to 13 mmol g−1h−1. The stimulatory effect of benzoate on respiration was dependent on the dilution rate: at high dilution rates respiration was not enhanced by benzoate. Cells could only gradually adapt to growth in the presence of benzoate: a pulse of benzoate given directly to the culture resulted in wash‐out.
Investigating the Relationship between Job Satisfaction and Organizational Citizenship Behavior Among Beni Suef Cement Company Employees

Organizational Citizenship behavior (OCB) is a type of behavior which is also known as the Extra Role Behavior, Motivate the employees to go beyond what is expected from them by organization and job descriptions, this type of behavior have its benefits for both production parts employees and organizations.In Egypt and especially in Cement industry the term (OCB) still new concept and till now the companies didn’t realize the importance of having this type of behavior among its employees.Several researcher have found that there is a significant positive relationship between employee job satisfaction and Organizational Citizenship Behavior, which affect the employee and the organization performance.This research aim to investigate the relationship between job satisfaction(Intrinsic and Extrinsic) as independent variable and Organizational Citizenship Behavior as dependent variable among Beni Suef Cement Company employees, this study will provide guidelines to help the senior management of the company to measure and understand how Job satisfaction affect organizational citizenship behavior of their team members.
Determinants of Performance of Islamic Banks in GCC Countries: Dynamic GMM Approach

Abstract Purpose The main objective of this study is to identify the main determinants of the Islamic banks’ performance in Gulf Cooperation Council (GCC) regions. Methodology/approach The research uses both static model (fixed effects and random effects) and Generalized method of Moments (GMM). The data for this study are obtained from the annual reports of 29 Islamic banks from GCC countries using Bankscope database for the period from 2005 to 2013. Findings The empirical findings reveal that Islamic banks’ specific factors such as the equity financing and bank size are positive and statistically significant to the profitability of Islamic banks. The operating efficiency ratio is negatively and statistically significant to return on asset. It is also found that macroeconomic variables such as money supply and inflation are negatively and statistically significant to the performance of Islamic banks whereas oil price has been found positive and statistically significant to the performance of Islamic banks in the GCC region. Research implications The present study seeks to fill a demanding gap in the literature by providing new empirical evidence on the factors that influence the profitability of the Islamic banking sector in GCC regions. Originality/value These findings have significant contribution to the literature by comprehensively clarifying and critically analyzing the current state of profitability among the Islamic banks in GCC regions.
Reliable 3D reconstruction extending pixel-level certainty measures

A new method for obtaining a three-dimensional volumetric reconstruction from a set of views improving the classical Shape from Silhouette method (SFS) is presented. SFS approaches can be easily accelerated through hardware and software techniques but they are very sensible to errors arising during calibration and segmentation processes so they present difficulties when dealing with real images. This paper proposes a new algorithm which uses the information about pixel segmentation uncertainty contained in each view in order to get a reliable 3D reconstruction of the scene. Aggregation of the projected uncertainties permits to classify scene's voxels by means of a decision rule but also makes it possible to create a three-dimensional confidence map of the scene. As a consequence, the regions where more information is needed can be foreseen. Sample reconstructions from real image sets are presented and evaluated.
Comparison of nanosecond and femtosecond pulsed laser deposition of silver nanoparticle films

Nanoparticle (NP) films of silver were prepared using nanosecond (ns) and femtosecond (fs) pulsed laser deposition (PLD) in vacuum. The flux and energy distribution of the ions in the plasma part of the ablation plume were measured using a Langmuir ion probe. The deposition energy efficiencies of ns and fs silver PLD were also compared. For equivalent thickness up to ∼3 nm the NPs made by ns-PLD are well separated and roughly circular, but for higher thicknesses the NPs begin to coalesce. For equivalent thickness up to 7 nm the fs films are comprised of well separated NPs, though the mean NP size and the surface coverage increase with equivalent thickness. The mean Feret diameter for both ns- and fs-PLD films increases with increasing equivalent solid-density thickness. The surface plasmon resonance peak was observed to red shift for both ns- and fs-PLD films as the equivalent solid-density thickness was increased from 1 nm to 7 nm.
Slimeware: Engineering Devices with Slime Mold

The plasmodium of the acellular slime mold Physarum polycephalum is a gigantic single cell visible to the unaided eye. The cell shows a rich spectrum of behavioral patterns in response to environmental conditions. In a series of simple experiments we demonstrate how to make computing, sensing, and actuating devices from the slime mold. We show how to program living slime mold machines by configurations of repelling and attracting gradients and demonstrate the workability of the living machines on tasks of computational geometry, logic, and arithmetic.
A VARIETY OF EFFECTS : HOW VARIETY ALTERS EXPERIENCE BY INFLUENCING BOTH CHOICE AND HEDONIC VALUE

This paper makes a conceptual distinction between the effects of variety on choice and its effects on the hedonic value of chosen alternatives, to help explain consumers’ persistent and seemingly perverse tendency to choose less-preferred items from a varied set. In particular, we show that although high-variety sets have an unfavorable effect on choice (in the sense that worse items are chosen), an item chosen from a large set is preferred to that same item chosen from a smaller set. Revisiting data previously analyzed in Ratner, Kahn, and Kahneman (1999, Experiment 5), using a model of the Heckman type (Heckman 1979), we find substantially stronger effects of variety on hedonic value than in the earlier analysis. Our re-analysis does not contradict RKK’s earlier findings of a retrospective bias towards varied sequences, but suggests a specific mechanism that may underlie them: memory may favor varied sequences if it is driven by actual consumption experience, rather than choice context. A VARIETY OF EFFECTS: HOW VARIETY ALTERS EXPERIENCE BY INFLUENCING BOTH CHOICE AND HEDONIC VALUE Decision makers seem to persist in choosing less-preferred items from a set despite the apparently diminished enjoyment that results. This phenomenon, often described as varietyseeking, has been the focus of much research (Kahn and Lehmann 1991, Kahn, Ratner, and Kahneman 1997; Menon and Kahn 1995; Ratner, Kahn, and Kahneman 1999; Ratner, Novemsky, and Kahneman 1998; Read and Loewenstein 1995; Simonson 1990). Consumers often act as though they believed varied sequences are superior to repetitive ones. For example, Simonson (1990) found that subjects choosing three candy bars at once for consumption over three future occasions chose a wider variety than subjects choosing on three separate occasions for immediate consumption. Ratner, Kahn, and Kahneman (1999) investigated whether decision makers’ occasional tendency to choose less-preferred items might be explained as a reaction to satiation (i.e., diminished hedonic value) on favorites due to overly-frequent consumption. Inconsistent with that explanation, they found that “more varied sequences result in diminished enjoyment during consumption,” even though “participants did not become satiated with top-ranked songs” (p. 11). Despite this, consumers’ memories were positively biased for varied sequences. Similarly, Ratner, Novemsky, and Kahneman (1998) showed a prospective bias in favor of varied sequences. This paper makes a simple but telling conceptual distinction between the effects of variety on choice and its effects on judgment (i.e., assessment of the hedonic value of a choice), to help explain this paradoxical preference of consumers for variety. We demonstrate that 1 To be consistent with earlier researchers (specifically, Ratner, Kahn, and Kahneman 1999), we are concerned here with a particular form of variety, that created by a set in which each alternative appears only once. In this
Space radiation environment and its effects on satellites: analysis of the first data from TEDA on board ADEOS-II

The Advanced Earth Observing Satellite II (ADEOS-II) was launched into sun-synchronous, sub-recurrent orbit on December 14, 2002, and its operation terminated unexpectedly on October 24, 2003. While in orbit, the Technical Data Acquisition equipment on board ADEOS-II monitored the space radiation environment and its effects, including total-dose and single-event upset, recording them on 16 M and 64 M-DRAM memories. In this paper, we analyze the first data results from these monitors.
A Differential Mutation operator for the archive population of multi-objective evolutionary algorithms

The Differential Evolution (DE) algorithm is a simple and efficient evolutionary algorithm that has been applied to solve many optimization problems mainly in continuous search domains. In the last few years, many implementations of multi-objective versions of DE have been proposed in the literature, combining the traditional differential mutation operator as the variation mechanism and some form of Pareto-ranking based fitness. In this paper, we propose the utilization of the differential mutation operator as an additional operator to be used within any multi-objective evolutionary algorithm that employs an archive (offline) population. The operator is applied for improving the high-quality solutions stored in the archive, working both as a local search operator and a diversity operator depending on the points selected to build the differential mutation. In order to illustrate the use of the operator, it is coupled with the NSGA-II and the multi-objective DE (MODE), showing promising results.
Brain Maturation After Preterm Birth

Two translational studies—one in humans and one in sheep—suggest that premature birth is associated with delayed maturation of brain grey matter and that promoting growth in these neonates can boost brain development. Two translational studies—one in humans and one in sheep—suggest that (i) premature birth is associated with delayed maturation of grey matter in the cerebral cortex and (ii) medical care that prohibits impairment of growth in premature neonates may enhance cortical development and reduce neurological disabilities associated with preterm birth.
Donor‐Transmitted Malignancies in Organ Transplantation: Assessment of Clinical Risk

The continuing organ shortage requires evaluation of all potential donors, including those with malignant disease. In the United States, no organized approach to assessment of risk of donor tumor transmission exists, and organs from such donors are often discarded. The ad hoc Disease Transmission Advisory Committee (DTAC) of the Organ Procurement and Transplantation Network/United Network for Organ Sharing (OPTN/UNOS) formed an ad hoc Malignancy Subcommittee to advise on this subject. The Subcommittee reviewed the largely anecdotal literature and held discussions to generate a framework to approach risk evaluation in this circumstance. Six levels of risk developed by consensus. Suggested approach to donor utilization is given for each category, recognizing the primacy of individual clinical judgment and often emergent clinical circumstances. Categories are populated with specific tumors based on available data, including active or historical cancer. Benign tumors are considered in relation to risk of malignant transformation. Specific attention is paid to potential use of kidneys harboring small solitary renal cell carcinomas, and to patients with central nervous system tumors. This resource document is tailored to clinical practice in the United States and should aid clinical decision making in the difficult circumstance of an organ donor with potential or proven neoplasia.
Understanding antibody: Antigen Relationshipsusing Antigenic Variants with Array-BasedSpriepitope Mapping

Here, we demonstrate how array-based label-free biosensors can be applied for high-throughput, high-information epitope mapping of monoclonal antibodies (mAbs). High-resolution epitope mappingusing antigenic variants enable the identification of specific binding regions on Abs. The use of epitope mapping can expedite the discovery of therapeutic mAbs and vaccines and inform the number and diversity of the interactions being studied. Specifically, we show the opportunity epitope mapping offers in distinguishing subtle differences for target-engagement amongst otherwise highly similar mAbs.
Incorporating the biometric voice technology into the e-government systems to enhance the user verification

Many courtiers around the world have started their e-government programs. E-government portals will be increasingly used by the citizens of many countries to access a set of services. Currently, the use of the e-government portals arises many challenges; one of these challenges is the security issues. E-government portals security is a very important characteristic in which it should be taken into account. In this paper, we have incorporated the biometric voice technology into the e-government portals in order to increase the security and enhance the user verification. In this way, the security should be increased since the user needs to use his voice along with his password. Therefore, no any unauthorized person can access the e-government portal even if he/she knows the required password.
Health Perceptions of Latinos With Intellectual Disabilities: The Results of a Qualitative Pilot Study

A pilot study among Latinos with intellectual disabilities (ID) was conducted. Focus groups and Photovoice methodology were employed to explore participants' health perceptions and beliefs. Three focus groups were conducted for a total of 15 participants. An additional member check focus group was conducted to verify results of the analysis. Photovoice methodology was employed with four Latinos with ID to explore health beliefs and perceptions of the influence of the social and physical environment. Participants' perceptions of health focused on social and mental aspects of health. Latinos with ID believed that social relationships are important to health. They believed in a connection among social, mental, and physical well-being and health. Cultural beliefs related to the role of God and traditional therapies were identified. Latinos with ID reported that they believed that health was influenced by behaviors and that diet and physical activity were beneficial, but this did not necessarily translate into regular practice.
Virtual Reality Hypnosis: a New Intervention Strategy in Quitting Smoking

Quitting smoking is a topic that has the attention of healthcare professionals for a long time, because smoking causes a number of deaths among active and passive smokers every year. Virtual reality began to be used more and more and not only for recreation but also in research in medicine, education and psychology. Until now it has been found that can be a useful technique in the treatment of PTSD, phobias, pain management, and smoking. On the other hand, hypnosis has demonstrated over time that can be effective in different areas of intervention, including smoking cessation. This article aims to present a concept that integrates both hypnosis and virtual reality, namely Virtual Reality Hypnosis. We will present what are the areas in which it was used, what are the advantages and limitations. We will also explore the possibility of using Virtual Reality Hypnosis in an intervention program for smokers who want to quit smoking.
Puri fi cation and characterization of a collagenase from Penicillium sp . UCP 1286 by polyethylene glycol-phosphate aqueous two-phase system

Collagenases are proteolytic enzymes capable of degrading both native and denatured collagen, reported to be applied in industrial, medical and biotechnological sectors. Liquid-liquid extraction using aqueous two-phase system (ATPS) is one of the most promising bioseparation techniques, which can substitute difficult solid-liquid separation processes, offering many advantages over conventional methods including low-processing time, low-cost material and low-energy consumption. The collagenase produced by Penicillium sp. UCP 1286 showed a stronger affinity for the bottom salt-rich phase, where the highest levels of collagenolytic activity were observed at the center point runs, using 15.0% (w/w) PEG 3350 g/mol and 12.5% (w/w) phosphate salt at pH 7.0 and concentration. The enzyme was characterized by thermal stability, pH tolerance and effect of inhibitors, showing optimal collagenolytic activity at 37 C and pH 9.0 and proved to be a serine protease. ATPS showed high efficiency in the collagenase purification, confirmed by a single band in SDS/PAGE, and can in fact be applied as a quick and inexpensive alternative method. © 2017 Elsevier Inc. All rights reserved.
High Frequency Trading and End-of-Day Manipulation

We examine the impact of higher frequency trading on the frequency and severity of suspected end of day price dislocation cases in 22 stock exchanges around the world over the period January 2003-June 2011. Controlling for country, market, legal and other differences across exchanges and over time, and using a variety of robustness checks including difference-in-differences tests, we show that the presence of high frequency trading in some market has significantly mitigated the frequency and severity of end-of-day manipulation, counter to recent concerns expressed in the media. The effect of HFT is more pronounced than the role of trading rules, surveillance, enforcement and legal conditions in curtailing the frequency and severity of end-of-day manipulation.