Miracle-dz/UniFAR-FTUs huggingface dataset:
Enterprise Resource Planning (ERP) Systems: Design, Trends and Deployment

The Enterprise Resource Planning (ERP) system is a famous widespread solution in business organization which is used and verified the integration and automation of the processes, performance improvements, and cost reduction. However, new innovations in technology trends that forced ERP designers to go with the new development. Therefore, new ERP system designs were done to satisfy companies and/or customers by evolving new ERP business models. Moreover, one of the biggest challenges for ERP is to keep speed with a manufacturing sector that has been rapidly moving from product-centric to customer-centric focus. This change required most ERP vendors to add a variety of functions and modules on their core systems, while the basic design of most ERP systems remained product-centric. In this paper, we discuss some of the promising new ERP evolutionary design and models that could affect the future of ERP systems and open new market for next generation customers.
A reconsideration of the Cooper/Kline critique of the factor structure of the Motivation Analysis Test

Criticism of Cattell's Motivation Analysis Test (MAT) partly on the basis of a quasi-higher-order factor analysis of the MAT subscales on a sample of 109 subjects is untenable, given the methodological weaknesses inherent in the procedural application of the method by Cooper and Kline (1982). Cattell's (1982) response to the Cooper/Kline critique did not address these methodological issues directly, but instead concentrated on the controversy pertaining to intra-scale item-homogeneity. The debate over the structure of the MAT requires consideration of the factor analytic issues per se. The present reconsideration of the Cooper/Kline critique attempts to do this, and to provide a fuller perspective on the issues raised by Cooper and Kline. A series of articles recently published in the. British Journal of Educational Psychology concerning the internal structure of the Motivation Analysis Test (MAT) has left the reader with a less than adequate account of the reliability and validity of the instrument. Cooper and Kline (1982) criticized both the low item-homogeneities and also the factor structure of the MAT. Cattell (1982) responded to the Cooper/Kline critique and addressed the issue of intra-scale item-homogeneity. However the question of the factor structure of the MAT remained unresolved, and subsequently, Kline and Cooper (1982) reiterated their belief that the factor structures of the MAT were not stable across different samples. As Cattell did not address this issue in his response, it is germane to reconsider the evidence provided in the paper by Cooper and Kline. In particular, the present discussion focuses on (1) the validity of the MAT, (2) the number of subjects required, (3) the number of factors extracted, and (4) the question of simple structure. Finally, conclusions regarding the adequacy of the Cooper/Kline critique of the MAT are presented.
Optofluidic third order distributed feedback dye laser

This letter describes the design and operation of a polymer-based third order distributed feedback (DFB) microfluidic dye laser. The device relies on light confinement in a nanostructured polymer film where an array of nanofluidic channels is filled by capillary action with a liquid dye solution which has a refractive index lower than that of the polymer. In combination with a third order DFB grating, formed by the array of nanofluidic channels, this yields a low threshold for lasing. The laser is straightforward to integrate on lab-on-a-chip microsystems where coherent, tunable light in the visible range is desired.
Optical Metasurface Based on the Resonant Scattering in Electronic Transitions

Metasurfaces are an emerging platform for manipulating light on a two-dimensional plane. Existing metasurfaces comprise arrays of optical resonators such as plasmonic antennas or high-index nanorods. In this article, we describe a new approach to realize metasurfaces based on the resonant scattering in electronic transitions, such as in two-level systems (TLSs). These metasurfaces can reproduce all of the major results in conventional metasurfaces. In addition, since TLSs can be easily tunable and are orders of magnitude smaller than optical resonators, TLS metasurfaces can realize functions that are difficult to achieve with optical resonators.
Title Perverse coherent sheaves on blowup , III : Blow-up formulafrom wall-crossing Author ( s )

In earlier papers [21, 22] of this series we constructed a sequence of intermediate moduli spaces {M̂(c)}m=0,1,2,. connecting a moduli space M(c) of stable torsion free sheaves on a nonsingular complex projective surface X and M̂(c) on its one point blow-up X̂. They are moduli spaces of perverse coherent sheaves on X̂. In this paper we study how Donaldson-type invariants (integrals of cohomology classes given by universal sheaves) change from M̂(c) to M̂(c), and then from M(c) to M̂(c). As an application we prove that Nekrasov-type partition functions satisfy certain equations which determine invariants recursively in second Chern classes. They are generalization of the blow-up equation for the original Nekrasov deformed partition function for the pure N = 2 SUSY gauge theory, found and used to derive the Seiberg-Witten curves in [18]. Introduction Let X be a nonsingular complex projective surface and p : X̂ → X the blow-up at a point 0. Let C = p−1(0) be the exceptional divisor. Let c = (r, c1, ch2) ∈ H(X̂) be a cohomological data. Let M̂(c) be the moduli space of stable torsion free sheaves E on X̂ with ch(E) = c and M(p∗(c)) the corresponding moduli space on X. In [21, 22] we constructed a sequence of intermediate moduli spaces M̂(c) connected by birational morphisms as (∗) · · · M̂(c) ξm )) S S S S S S uukkk kkk M̂(c) ξm+1 ** U U U U U U ξ + m uujjj jj vvmm mm mm m
Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot “FloW” Vision

Human can recognize an object just by looking at the environment, this capability is very useful for designing the reference of humanoid robot with the ability of adapting it on its environment. By knowing the field conditions that exist in such environments, robot can understand the obstacles or anything that can be passed. To do that, robot vision needs to have a knowledge to understanding an obstacles that exist around it. Because of these problems, this paper shows a method for reducing error rate of vacant space in the data depth by combining a stereo camera and structure sensor. Merging the stereo camera and structure sensor can extract depth information becomes dense. The proposed method has been successfully running the whole algorithm built and has a density of depth with an average error rate of vacant space is 18.10%.
Connecting Childhood and Old Age in Popular Media

©2019 M. Jönsson. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License (http://creativecommons.org/ licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Citation: Barnboken tidskrift för barnlitteraturforskning/Barnboken Journal of Children’s Literature Research, Vol. 42, 2019 http://dx.doi. org/10.14811/clr.v42i0. 375 Review/Recension
Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation

Standard models of informed speculation suggest that traders try to learn information that others do not have. This result implicitly relies on the assumption that speculators have long horizons, i.e, can hold the asset forever. By contrast, we show that if speculators have short horizons, they may herd on the same information, trying to learn what other informed traders also know. There can be multiple herding equilibria, and herding speculators may even choose to study information that is completely unrelated to fundamentals. These equilibria are informationally inefficient.
Trait Emotional Intelligence and Mathematics Achivements among Undergraduates in Higher Learning Instituition of Sarawak

Emotional Intelligence appears to be a significant influencing factor in academic achievements. This study aims to identify the relationship between trait emotional intelligence and mathematics achievements (a relatively sparse research areas of academic achievements) among undergraduates in higher learning institution of Sarawak. 100 respondents from a higher-level institution of Sarawak participated in this study. Trait Emotional Intelligence Questionnaire (TEIQue) is used to measure the trait emotional intelligence of the undergraduates. The result was analysed using descriptive analysis and inferential analysis, namely two-way ANOVA and Pearson’s correlation. Two-way ANOVA was used to test if there is significant difference in demographic attributes (gender and place of residence) towards maths achievements and trait emotional intelligence of the undergraduates. Pearson Correlation was used to test the relationship between trait emotional intelligence and mathematics achievements of the undergraduates. Generally, this study found that there is no significant difference for factors related to demographic attributes (gender and place of residence) against maths achievements and trait emotional intelligence of the undergraduates. Meanwhile, a relationship was found between trait emotional intelligence and mathematics achievements among undergraduates in higher learning institution in Sarawak. The outcome of the study appears to suggest that trait emotional intelligence can help undergraduates to understand themselves more and to control and manage their emotions and feelings and have better relationship with their surroundings. And this could positively impact on their maths achievements.Keywords: trait emotional intelligence, mathematics achivements, undergraduates
How to Think about Corporate Growth ?

Corporate growth has evolved into a challenge of undisputable and increasing interest among senior managers, in particular, after the bursting of the stockmarket bubble. Nevertheless, the available theories of corporate growth (resources, life-cycle, etc.) tend to focus on only one dimension of the growth process. In this paper , we argue why corporate growth is important, introduce the need for a more holistic view of corporate growth and discuss the drivers that growing firms use to keep growth going. 1 Purchase Export Previous article Next article Check if you have access through your login credentials or your institution. Check Access or Purchase or Check for this article elsewhere
Detection of methyletestosterone and trenbolone acetate hormones residues in Nile tilapia ( oreochromisniloticus )

The study was planned out to estimate the Methyltestosterone (MT) and Trenbolone acetate (TB) residues in 100 samples of Nile Tilapia . The samples wererandomly collected from different localities in Cairo and Giza markets and were analyzed using Enzyme-linked immune sorbent Assay (ELISA) method . The mean values of MT&TB in the fish muscle were 2.057±0.200 ppb and 0.227±0.007 ppb, respectively. The obtained results showed no evidence for the illegal use of hormones, but these results do not exclude the possibility of misuse of these potentially harmful hormones. There is, therefore, need to routinely monitor these hormones as a food quality and health control measure.
Changes in quality of dried fig (Ficus carica L.) delight in different packages under cold and ambient storage.

urkiye’nin geleneksel ihracat urunlerinden olan kuru incire dayali olarak son yillarda bircok farkli urun gelistirilmektedir. Bir cesit lokum olan incir lokumu da sadece kuru incir kullanilarak veya sert kabuklu meyvelerle karistirilarak
Toxicological Biology of Particulate Matters on Allergic Pulmonary Inflammation

Although the adverse health effects of Particulate Matters (PM) have been proposed and are being clarified, their facilitating effects on preexisting pathological conditions (pathological conditions) have not been fully identified. On the other hand, there exist hypersensitive subjects against PM. In this review, we provide insights into the immunotoxicity of PM as an aggravating factor in hyper susceptible subjects, especially those with allergic pulmonary diseases using our in vivo experimental models. In brief, we examined the effects of Diesel Exhaust Particles (DEP), main constituents in PM, on allergic asthma in vivo, and showed that repetitive pulmonary exposure to DEP has promoting effects on allergic airway inflammation, including adjuvanticity on Th2-milieu. Further, we propose a causal toxicological machinery regarding the adverse impacts, i.e., via inappropriate activation of antigen-presenting cells such as dendritic cells.
Chapter 11. The Drug Discovery Process

11.1 Some Challenges for Modern Drug Discovery 11.2 Target-Based Drug Discovery 11.3 Systems-Based Drug Discovery 11.4 In vivo Systems, Biomarkers, and Clinical Feedback 11.5 Types of Therapeutically Active Ligands: Polypharmacology 11.6 Pharmacology in Drug Discovery 11.7 Chemical Sources for Potential Drugs 11.8 Pharmacodynamics and HighThroughput Screening 11.9 Drug Development 11.10 Clinical Testing 11.11 Summary and Conclusions References
The Loom Knowledge Representation Language.

Abstract : The lengthening lifetimes of intelligent systems, and the desire to share or re-use knowledge bases, has created within the Al community the need for application-independent knowledge representation systems. The Loom system being developed at ISI represents the latest in a series of classification-based knowledge representation systems developed to meet this need. In Loom, the traditional single-classifier architecture is replaced by one containing a collection of classifiers which exhibit increasingly powerful inference capabilities. This paper describes the knowledge representation language developed for the Loom system.
Transformative Sustainable Business Models in the Light of the Digital Imperative—A Global Business Economics Perspective

The considerable body of literature on business models, business model innovation, and sustainable business models has yet to fully account for the impact of external dynamics—including the digital imperative—on generating sustainable value propositions. To address this issue, we developed a multifaceted framework of transformative sustainable business models, spanning three levels: the external environment, the organization, and the individual. We drew on the resource-based view and the literature on digitization to explain how organizations can capitalize on dynamic transformative capabilities to generate novel value propositions, based on both reconstructionist logic and shared-value logic. These include elements such as co-creation, usage-based pricing, agility, closed-loop processes, asset sharing, and collaborative business ecosystems.
Seasonal variation in growth of Mastomys natalensis (Rodentia: Muridae) in Morogoro, Tanzania

Summary The paper describes seasonal growth variation in a free living population of Mastomys natalensis(Smith, 1834) from Morogoro, Tanzania. Growth patterns are associated with rainfall patterns. Young animals enter a growth stop at the end of the dry season (October-November) and growth is only resumed after the first heavy rains. Reproduction is more related to size than to age. If the heavy rains come early in the rainy season, animals start reproducing in the beginning of the year. The resulting young reach their maximal size without growth stop and start reproducing immediately. Possible causes for the growth stop are discussed. Growth phenomena are thought to explain at least partially the relation between rainfall and reproduction in Mastomys.
Two-Step Proximal Gradient Algorithm for Low-Rank Matrix Completion

In this paper, we propose a two-step proximal gradient algorithm to solve nuclear norm regularized least squares for the purpose of recovering low-rank data matrix from sampling of its entries. Each iteration generated by the proposed algorithm is a combination of the latest three points, namely, the previous point, the current iterate, and its proximal gradient point. This algorithm preserves the computational simplicity of classical proximal gradient algorithm where a singular value decomposition in proximal operator is involved. Global convergence is followed directly in the literature. Numerical results are reported to show the efficiency of the algorithm.
THE MULTICRITERIA METHOD FOR ENVIRONMENTALLY ORIENTED BUSINESS DECISION-MAKING

Stimulated by the expressed managers' need for some completed methods for environmental management in enterprises, we present the method for environmentally oriented business decision-making. It is based on simulations where optimization models of business processes are used as scenarios. The possibilities for an integrated approach to environmental protection are introduced and - decomposed according to the type of the considered element by using zero-one variables - included in the optimization models. The method is completed for multicriteria decision-making where in the simulations obtained optimal values are included. In a real-life case where the Analytic Hierarchy Process technique is used to evaluate environmentally oriented business processes, special attention is given to criteria and weights: we consider preferences and survey findings on the environmental impact of business processes in the enterprise, survey findings on environmental management in the processing industry, and eco-balances.
Late glacial fluctuations of the Laurentide Ice Sheet in the White 1 Mountains of Maine and New Hampshire, U.S.A. 2

Prominent moraines deposited by the Laurentide Ice Sheet in northern New 17 England document readvances, or stillstands, of the ice margin during overall 18 deglaciation. However, until now, the paucity of direct chronologies over much of the 19 region has precluded meaningful assessment of the mechanisms that drove these 20 events, or of the complex relationships between ice-sheet dynamics and climate. As a 21 step towards addressing this problem, we present a cosmogenic 10 Be surface-exposure 22 chronology from the Androscoggin moraine complex, located in the White Mountains 23 of western Maine and northern New Hampshire, as well as four recalculated ages 24 from the nearby Littleton-Bethlehem moraine. Seven internally consistent 10 Be ages 25 from the Androscoggin terminal moraines indicate that advance culminated ~13.2 ±
Stochastic optimization library: SGDLibrary

SGDLibrary is an open source MATLAB library of stochastic optimization algorithms, which finds the minimizer of a function f : R → R of the finite-sum form min f(w) = 1/n ∑ i fi(w). This problem has been studied intensively in recent years in the field of machine learning. One typical but promising approach for large-scale data is to use a stochastic optimization algorithm to solve the problem. SGDLibrary is a readable, flexible and extensible pure-MATLAB library of a collection of stochastic optimization algorithms. The purpose of the library is to provide researchers and implementers a comprehensive evaluation environment for the use of these algorithms on various machine learning problems. The code is available at https://github.com/hiroyuki-kasai/SGDLibrary 1.
Diabetes and cardiovascular diseases ( I ) Diagnosis , Classification and Pathogenesis of Diabetes Mellitus

Correspondencia: Dr. D. Ignacio Conget. Endocrinología y Diabetes. Hospital Clinic i Universitari. Villarroel, 170. 08036 Barcelona. España. Diabetes mellitus (DM) is a metabolic disorder characterized by the presence of chronic hyperglycemia accompanied by greater or lesser impairment in the metabolism of carbohydrates, lipids and proteins. The origin and etiology of DM can vary greatly but always include defects in either insulin secretion or response or in both at some point in the course of disease. When characteristic symptoms of DM are clearly present and blood glucose levels are high enough, the diagnosis is usually unequivocal. However, it is important to remember that the diagnosis is made in asymptomatic patients in most cases, based on the results of routine tests. The prevalence of DM, its specific complications and the presence of other diseases that often accompany DM make this disease one of today’s main social and public health problems. The great increase in information available on the etiology and pathophysiology of DM and its chronic complications has led necessarily to the revision of diagnostic criteria and reclassification of the processes involved. Revised diagnostic criteria and classifications were agreed upon in 1997 and 1998 by the American Diabetes Association and the World Health Organization, respectively, and new recommendations were published. Thanks to cross-representation on the committees, the conclusions and final recommendations are, in general, very similar, although a few minor differences are present. Clarification of diagnostic criteria and better classification of patients suffering from DM should allow us to make better choices among the various treatment options available and to improve prognosis.
Computational Intelligence Applications for Defense

Abstract : This report reviews the priorities and discusses cognitive algorithms resulting in breakthroughs in defense applications, and making progress toward achieving AF goals. The mathematical techniques of dynamic logic and neural modeling fields model aspects of the functionality of the mind: perception, cognition, and higher cognitive functions. This leads to a significant improvement in classical signal processing applications, including detection, tracking, and fusion in noise and clutter, making autonomous situational awareness possible. The first part of this report describes past difficulties, why these problems have not been solved for decades, and the gist of the current approaches. The second part of this report addresses future research directions: the augmentation of human performance through improvements in man-machine interfaces. This includes modeling of language interacting with cognition. In future systems, computers will learn from humans, and humans will operate machines by language and thoughts.
Hypothermia in Stroke Therapy: Systemic versus Local Application

Presently, there are no effective, widely applicable therapies for ischemic stroke. There is strong clinical evidence for the neuroprotective benefits of hypothermia, and surface-cooling methods have been utilized for decades in the treatment of cerebral ischemia during cardiac arrest, but complications with hypothermia induction have hindered its clinical acceptance in ischemic stroke therapy. Recently, the microcatheter-based local endovascular infusion (LEVI) of cold saline directly to the infarct site has been proposed as a solution to the drawbacks of surface cooling. The safety and efficacy of LEVI in rat models have been established, and implementation in larger animals has been simi- larly encouraging. A recent pilot study even established the safety of LEVI in humans. This review seeks to outline the major research on LEVI, discusses the mechanisms that mediate its superior neuroprotection over surface and systemic cooling, and identifies areas that warrant further investigation. While LEVI features improvements on surface cooling, its core mechanisms of neuroprotection are still largely shared with therapeutic hypothermia in general. As such, the mechanisms of hypothermia-based neuroprotection are discussed as well.
Fertilization and embryo survival rates in control and progesterone or hcg treated heifers

A total of 98 heifers were used in a study of fertilization and embryonic mortality rates. Fertilization rate recorded at day 4 was 90 p. 100. Embryo survival at day 42 was 52 p. 100. Progesterone supplementation did not affect circulating progesterone level and slightly increased embryo survival rate. HCG administration induced accessory corpus luteum formation, increased circulating progesterone level and slightly increased embryo survival. The increases in embryo survival following progesterone or HCG were not