Miracle-dz/UniFAR-FTUs huggingface dataset:
Adjusting inventories based on demand prediction using dynamic inventory balancing model

This study examined inventory adjustment based on demand prediction in real case study environment. In this case study, action research method was applied on case, in which the manufacturer faced fluctuating demand, averaging to have four different phases in a year. Demand peaks follow the valleys in yearly basis, but the location of the peaks and valleys is not exactly known beforehand, which makes the demand and supply availability prediction and adjustment hard task to achieve in this manufacturing network. The research data has been collected from actual case, in which the case company applied the ideology of dynamic inventory management model on their purchasing operations. By using costs calculations, researcher has been able to show that the company saved in average of 20 000, in 9 moths time period, just in interests. This case is considered a good example of practicality of applying simple ideologies in practice on inventory management to achieve good impact with out applying too much resource on management level. Using demand prediction model presented in this paper the case company was able to synchronize inventories to the demand and also they were able to give their suppliers more time to prepare on future demand rises, which then cave them better service level in the situation of demand curve going up. The model is based on an idea of using both long and short time period history data to anticipate the future demand and its variations.
Thesis advisor review of a bachelor thesis

Traditionally, the text recognition problem is solved using convolutional neural networks (CNN) only. However, the text is naturally a sequence of characters and sequences are usually well processed by recurrent neural networks (RNN). The thesis takes as its starting point one very recent approach, CRNN [1], which combines the power of both CNN and RNN architectures. This combination makes the approach more intuitive and appealing for possible modifications. The goal of the thesis was to analyse the performance of the algorithm in various situations and on the most recent benchmarks, as only limited evaluation is presented in the original paper. The thesis was also supposed to build on the original algorithm and propose and test some useful extensions and modifications. The thesis presents several experiments on the latest ICDAR’15 dataset as well as on training for case sensitive text recognition. These results are valuable for comparison with other state-of-the-art methods used in the literature. The thesis proposes two modifications of the original algorithm: (i) padding the images instead of scaling them to a fixed size, and (ii) imposing blanks in the final layer text decoding. As expected, the first one is shown to bring significant improvement on short words compared to the original scaling approach. The second one, does not seem to bring any significant improvements. Finally, the thesis presents an analysis of the training and test data which reveals several flaws in the publicly available datasets and training protocols. The achieved results are interesting and sufficient for a bachelor thesis. Judging from my experience working with Alena Moravová, I also believe we could go even further with the experiments haven’t there be technical problems with running the algorithm on the Metacentrum cluster which lasted nearly a month. In spite of that, I would very much like to express my satisfaction with Alena’s work on the thesis. She is very quick in understanding even complex theoretical topics and also in implementing the proposed solutions. She works independently and comes often with her own ideas for experiments. She very quickly grasped the idea of a scientific research and prepared the experiments in a systematic way. I hope that our cooperation will continue in the future. Regarding the text of the thesis itself, some of the formulations are still too vague for me. But overall I am happy with the structure of the thesis, presentation style and the language used. The feedback given was again quickly understood and integrated into the text.
An Early-Warning Model of Dam Safety Based on Rough Set Theory and Support Vector Machine

There are strong non-linear and dynamic relations between dam behavior and its influence factors. The early-warning models of dam safety need to be described with non-linear function. Rough set theory is used to implement data pretreatment on dam safety monitoring. Main factors influencing dam safety are mined. An early-warning model is built with support vector machine. The proposed model can provide an effective performance of approximation and forecast for the relations between dam behavior and above mined factors. The system rule on dam behaviors can be learned and induced from the prototype observations of dam safety. The expression and parameters of early-warning model need not to be predefined
Genetic Influences on Functional Capacities in Aging.

PURPOSE Older populations are characterized by great heterogeneity in functional capacities and understanding the factors underlying these differences has been a major area of research for some decades. Genetic differences arguably play an important role in the heterogeneity observed for many outcomes among older individuals. However, the role of genes in the variation and trajectories of functional capacities in older age is poorly understood. This review was conducted to explore the evidence for genetic influences on physical functional capacities in aging. DESIGN AND METHODS This rapid review was conducted using the following criteria: journal articles retrieved from the PubMed, Embase, AgeLine, Scopus, and Web of Science electronic databases including the key words: genetics, genotype, polymorphism, physical or functional performance, functional capacity, activities of daily living, older, and elderly. In total, 118 articles were included for initial review. RESULTS The heritability of objective measures of physical function ranges from 30% to 60% in studies of older twins. There is a paucity of evidence about genetic influences on functional capacities, but some candidate genes related to functional capacity have been identified. IMPLICATIONS No strong candidate genes exist for functional capacities. Current methodologies are beginning to generate new evidence about genetic influences on overall physical function at older ages, but the variety of measures of functional capacity makes evidence difficult to compare.
A new two-stage Op-Amp using hybrid cascode compensation, bulk-driven, and positive feedback techniques

In this paper a 0.9V high gain, high speed two-stage Op-Amp is designed and simulated in a 0. 18µm CMOS technology. Using both bulk-driven and positive feedback techniques, the dc gain of this Op-Amp is increased about 18.5dB without consuming more power. In addition, the frequency response of the proposed Op-Amp is investigated. Compared to the conventional Op-Amp structure, it is shown that in the proposed Op-Amp, in spite of the decrease of the first pole, the other poles and zeros are not changed. In other words, while the UGBW and phase margin are identical for both conventional and proposed Op-Amps, in the proposed Op-Amp, the pole splitting is performed better than its conventional counterpart. The simulation results show a dc gain of 94dB, unity gain frequency of 549MHz and phase margin of 68°. The slew rate is 200V/µs and the Op-Amp dissipates about 2.73mW from a 0.9V supply voltage.
Pengaruh Mekanisme Good Corporate Governance terhadap Manajemen Laba

This study aimed to determine the effect of Good Corporate Governance mechanism toward earnings management that is proxied with discretionary accruals (DTA). The GCG mechanism is proxied with managerial ownership (KM), institutional leadership (KI), independent board of commissioner (DKI) and independent audit committee (KAI). The sample used in this study were 11 companies registered in CGPI for three years starting from 2013 to 2015.To know whether the above GCG variables have an effect on earnings management, multiple linear regression test using SPSS 2.1 program. The test results show that only managerial ownership variables has significantly influence to earnings management. While other variables such as institutional ownership (KI), independent board of commissioner (DKI), and independent audit committee (KAI) have no significant effect to earnings management. Keyword: Good Corporate Governance, managerial ownership, institusional leadership, independent board of commisioner, independent audit committee, earning management.
Evolution of the human RH (rhesus) blood group genes: a 50 year old prediction (partially) fulfilled.

Almost exactly 50 years ago, R. A. Fisher and R. Race proposed a model for the evolution of the RH (rhesus) genes in which the less common haplotypes were derived from the commoner ones by recombination, and in which the gene order was D-C-E. No direct-evidence bearing on this model was available then, and has not been until now. Here we present evidence for non-reciprocal intergenic exchange (gene conversion) occurring once in human history to generate the common RHCE allele, Ce. We have also used new polymorphisms to construct haplotypes which suggest that intragenic recombination played a major role in the generation of the less common haplotypes, but only if RHD lies 3' of RHCE, i.e. the order is C-E-D. We provide both genetic and physical evidence supporting this arrangement.
An industrial perspective of software architecture

The software architecture of a system describes how it is decomposed into components, how these components are interconnected, and how they communicate and interact with each other and with the environment. Software architecture represents critical, system-wide design decisions which affect quality, reconfigurability and reuse, and the cost for development and maintenance. In order to understand architecture as it is practised in the real world, we conducted a survey of a variety of industrial software systems. Our survey revealed the need for rigorous descriptions, systematic techniques, and well-defined processes to make architecture-level software development an engineering practice rather than an art.<<ETX>>
Urban Form, Mobility Behavior And Dysfunction Of Transport Supply: The Case Of Yaoundé

The objective of this chapter is to assess the relationship between urban form, mobility behavior, and dysfunction of transport supply in a large African city with high urban growth like Yaounde in Cameroon. Specifically, the chapter aims at assessing the influence of urban, mobility, and socioeconomic characteristics of an origin area on the mobility choice of individuals. Using field data collected by the urban community of Yaounde in 2010 and statistical tools such as multinomial logits, results show that urban form characteristics, such as human and establishment densities, accessibility, and origin-destination distances influence the choices of individual mobility. The urban form of major cities in Africa, due to a very high urban growth uncontrolled by the local authorities, plays a negative role on the operations of urban transport service in Africa because it promotes an artisanal supply characterized by a low capacity and reduces the efficiency and competitiveness of mass public transportation, which is cheaper. Based on results of this study, recommendations are: controlling urban sprawl, easing of accessibility to public transport, and developing an efficient and competitive mass transportation.
Equine Assisted Programs for Military Service Members: A Program Evaluation Using Importance-Performance Analysis

Veteran testimonies and program facilitator’s professional opinions support the use of equine-assisted therapies for veterans as a psychosocial intervention, despite the limited research on its outcomes and development. Furthermore, resources for program coordinators regarding the veteran experience are scarce and based upon protocols from equine therapy entities themselves, not a readily accessible evidence base. This study used a consumer-based multi-phase program evaluation to determine client preferences and importance rankings of various program components. Results provided feedback specific to the Saratoga War Horse program, in addition to cataloging an initial set of program factors desired by a sample of treatment seeking veterans. Results of this study may be used to help recreational therapists and equine therapy program administrators to identify appropriate program components and considerations for military populations seeking this intervention.
Comparative study of efficacy and safety of Iron polymaltose complex with ferrous sulphate in antenatal women with moderate anemia

Iron deficiency is the most common cause of anemia in pregnancy. The conventional iron preparations with ferrous salts showed noncompliance due to various side effects when compared to iron polymaltose complex. But the efficacy of iron polymaltose complex (IPC) in the treatment of iron deficiency anaemia (IDA) during pregnancy has not been established, and the evidence is inconclusive. The aim of this study was to compare efficacy, safety, compliance and cost-effectiveness of ferrous sulphate (FS) with IPC in antenatal women. 100 antenatal women with 14 to 20 weeks of gestation were recruited in the study, one group of 50 women were given FS and the other group of 50 women were given IPC for 6 weeks. Haemoglobin concentration (Hb), Packed cell volume(PCV),Mean Corposcular Haemoglobin concentration and serum iron were estimated before and after treatment with the above iron formulations. Compliance with pill count and safety with adverse effects monitoring in followup were noted. Statistical analysis was done with student's T test and chi square test. The improvement of haematological parameters was comparable in both groups statistically but compliance and safety were better with the IPC group when compared to FS group. IPC is a better alternative to FS as it is safe and showed more compliance.
The Role of Vitamin D in Atopic Dermatitis

Vitamin D has been suggested to have an important impact on a much wider aspects on human health than calcium homeostasis and mineral metabolism, specifically in the field of human immunology. It has been reported that vitamin D influences the regulation of both innate and adaptive immune systems, which makes the association between vitamin D and allergic diseases a field of interest. Although many studies have sought to determine whether vitamin D has an influence on progression of allergic disease, the impact of vitamin D on atopic dermatitis development and severity remains unclear. In this review, we summarize recent studies relating vitamin D to atopic dermatitis and discuss its possible role in the pathogenesis of allergic skin diseases, emphasizing the need for well-designed, prospective trials on vitamin D supplementation in the context of prevention and treatment for allergic conditions.
Ultrastructural evidence of directed cell migration during initial cementoblast differentiation in root formation.

Root formation in 14-day-old Sprague-Dawley rats was studied by light and electron microscopy. Special attention was focused on initial cementoblast differentiation. Disruption of the epithelial root sheath appears to be a consequence of directed cell migration by cells of the dental follicle proper which undergo differentiation into precementoblasts. Precementoblasts rapidly develop polarity towards the dentin, exhibiting major cytoplasmic processes rich in cytoplasmic filaments. These processes grow toward and eventually contact the dentin matrix. It is suggested that the cells of the dental follicle proper are cementoblast precursors which respond to chemoattractant substances released from newly deposited dentin matrix- and/or basal lamina-associated material of root sheath origin.
La formación matemático-didáctico del profesorado de primaria para la enseñanza de las probabilidades. Un análisis desde el enfoque ontosemiótico del conocimiento y la instrucción matemática

Actualmente la ensenanza de la probabilidad ha adquirido mayor protagonismo a nivel curricular, planteando la necesidad de contar con profesores capacitados para una ensenanza idonea, principalmente en Educacion Primaria. Para ello se requieren estudios que permitan determinar el conocimiento matematicodidactico que los profesores deben poner en juego para ensenar probabilidades, los cuales aun son escasos. Bajo este escenario surge esta investigacion, para analizar: ? como desarrollar en profesores de primaria un conocimiento matematico-didactico adecuado para una ensenanza idonea de la probabilidad? Para dar respuesta a este interrogante se utilizara como referente teorico de la Didactica de la Matematica al Enfoque Ontosemiotico del Conocimiento y la Instruccion Matematica (EOS), con base en una metodologia mixta, que contempla analizar, por un lado, el conocimiento matematico-didactico de los profesores de primaria para ensenar probabilidades, y por otro, el grado de idoneidad didactica de sus practicas de ensenanza.
An Efficient Algorithm for Dynamic Pricing Using a Graphical Representation

We study a multi-period, multi-item dynamic pricing problem faced by a retailer. The objective is to maximize the total profit by choosing optimal prices while satisfying several important practical business rules. The strength of our work lies in a graphical model reformulation we introduce, which can be used to solve the problem, while providing access to a whole range of ideas from combinatorial optimization. Contrasting to previous literature, we do not make any assumptions on the structure of the demand functions. The complexity of our method depends linearly on the number of time periods but is exponential in the memory of the model (number of past prices that affect the current demand) and in the number of items. Consequently for problems with large memory, we show that the profit maximization problem is NP-hard by presenting a reduction from the Traveling Salesman Problem. We then approximate general demand functions using the commonly used reference price model that accounts for an exponentially smoothed contribution of all the past prices. For the reference price model, we develop a (1 $\epsilon$)-approximation with low runtimes. We extend the reference price model to handle cross-item effects among multiple items using the notion of a virtual reference price. To allow for scalability of our approach, we cluster the items into blocks, and show how to adapt our methods to incorporate global business constraints. Finally, we apply our solution approaches using demand models calibrated by supermarket data, and show that we can solve realistic size instances in a few minutes.
Design, theory, and measurement of a polarization-insensitive absorber for terahertz imaging

We present the theory, design, and realization of a polarization-insensitive metamaterial absorber for terahertz frequencies. Effective-medium theory is used to describe the absorptive properties of the metamaterial in terms of optical constants\char22{}a description that has been thus far lacking. From our theoretical approach, we construct a device that yields over 95% absorption in simulation. Our fabricated design consists of a planar single unit-cell layer of metamaterial and reaches an absorptivity of 77% at 1.145 THz.
La redondance dans les CSPs

Dans ce papier, une nouvelle technique pour calculer des sous-ensembles irredondant de reseaux de contraintes est propose. La verification d'une contrainte donnee est connue pour etre Co-NP complet. Dans notre approche, differentes consistances locales polynomiales sont utilisees pour reduire la complexite. Le reseau de contraintes obtenu est irredondant modulo une consistance locale donnee. Notre principal objectif est de mesurer les relations entre la redondance des contraintes et l'efficacite des solveurs CSP. Plus precisement, les contraintes redondantes sont eliminees de l'instance d'origine produisant un probleme equivalent par rapport a la satisfiabilite. Notre approche admet des particularites interessantes. Premierement, l'elimination de contraintes redondantes peut aider le solveur CSP a diriger la recherche vers la partie la plus contrainte du reseau. Deuxiemement, une telle elimination peut conduire a ameliorer le comportement des heuristiques de choix de variables et a reduire le nombre de verification de contraintes. De facon interessante, notre approche peut etre utilisee pour mesurer le degre de redondance des contraintes des instances CSPs. Les resultats experimentaux sur les instances prises de la derniere competition CSP montre clairement l'interet de l'approche que nous proposons.
CORPORATE GOVERNANCE UNDER MULTITHEORETICAL PERSPECTIVE

This study examines the impact of corporate governance reforms (SECP code in Pakistan) on board structural characteristics, board roles and firm performance. It uses an exclusive balanced panel data set of 200 companies listed on Karachi Stock Exchange. The study contributes to a sparse empirical literature on boards using data from Pakistan via multi-theoretic perspective to prove that if the boards’ monitoring and resource provision roles are strengthened through board restructuring, the financial performance of the organization will be strengthened. The main findings of the study indicate that the mediated relationship between board structural variables and firm performance is stronger. The study concludes that overall companies adopted a box-ticking approach for reporting corporate governance. KeyWords: Corporate Governance, Agency theory, Resource dependence theory, Pakistan