Miracle-dz/UniFAR-FTUs huggingface dataset:
Resolución de restricciones geométricas. Selección de la solución deseada

Una de las ventajas mas relevantes en el Diseno Asistido por Computador (CAD) ha sido el diseno basado en restricciones, El usuario describe un objeto mediante la definicion de un conjunto de elementos geometricos y un conjunto de restriccionies geometricas relativas a dichos elementos. La principal tarea de los sistemas CAD es comprobar si el conjunto de restricciones geometrica define de forma precisa el objeto, y en ese caso, determinar la posicion y orientacion de los elementos geometricos. Cuando existe una solucion, el usuario espera que el solver le proporcione una determinada instancia y no cualquier instancia del espacio de soluciones. El problema de generar automaticamente la instancia esperada es un problema abierto y se conoce como el problema de la seleccion de la solucion deseada. Existen diversas cuestiones que hacen que el problema de la seleccion de la sociedad deseada. Existen diversas cuestiones que hacen que el problema tenga una dificultad elevada. De importancia capital resulta el hecho que, hasta el momento, no se ha dado una definicion aceptable del propio problema es decir, hasta ahora no se sabe que es aquello que el usuario espera, y por tanto, no se sabe como caracterizar la solucion deseada. Los solvers actualmente existentes, cuando tratan el problema de las solucion deseada lo mas que hacen es ofrecer un sistema de navegacion interactiva por el espacio de soluciones. Dicha navegacion, basicamente, recorre de manera exahustiva al espacio de instancias solucion hasta que se encuentra la deseada. Dado que el numero de instancias es exponencial en el numero de elementos geometricos que intervienen en el problema, no parece esta una solucion practica viable. El objetivo principal de este trabajo es desarrollar un metodo que encuentre la solucion a un Problema de Satisfaccion de Restricciones Geometricas (PRSG), es decir, localice la solucion deseada por el usuario dentro de la familia de objetos generado
2.45GHz RF power amplifier with T/R switch

In this paper, a 2.45GHz PA combined with a T/R switch has been designed and fabricated using a 0.35/spl mu/m SiGe process. It shows a very good performance of about 20dBm output power, 18.3% power efficiency including the insertion loss of T/R switch, 1.5dB insertion loss in the receiving mode, and more than 30dB isolation. It's applicable to 2.45GHz ISM (industrial, scientific, and medical) applications.
A general class of zero- or minimum-delay fractional rate change circuits

Rate changing occurs whenever sequences of data undergo transformations in rate without undergoing a change in the order of sequence. When the ratio of transformation is not an integer, fractional rate changes are necessary. These are generally, a prerequisite for the time-compression multiplexing mode of data transmission. Zero or minimal delay is a desirable characteristic, for example, in reducing the annoyance from the far-end echo whenever voice is encoded and transmitted. Conventional fractional rate changing entails an inherent delay in the rate change circuits. Segmenting shift registers reduces the delay of the last bit without completely eliminating it, unless the shift-register length is reduced to one bit. In this paper, a method of partitioning the shift registers by logarithmic counts is developed to reduce the complexity of the gating and the counting circuits. Zero last-bit delays are attainable in all cases where the rate increase is greater than two or, conversely, the rate reduction is less than half. For the remaining cases, the compromise between circuit complexity and the last-bit delay is outlined.
Adaptive Sampling in Single Pass, GPU-based Raycasting of Multiresolution Volumes

Direct Volume Rendering (DVR) is a technique for creating images directly from a representation of a function defined over a three-dimensional domain. The technique has many application fields, such as scientific visualization and medical imaging. A striking property of the data sets produced within these fields is their ever increasing size and complexity. Despite the advancements of computing resources these data sets seem to grow at even faster rates causing severe bottlenecks in terms of data transfer bandwidths, memory capacity and processing requirements in the rendering pipeline. This thesis focuses on efficient methods for DVR of large data sets. At the core of the work lies a level-of-detail scheme that reduces the amount of data to process and handle, while optimizing the level-of-detail selection so that high visual quality is maintained. A set of techniques for domain knowledge encoding which significantly improves assessment and prediction of visual significance for blocks in a volume are introduced. A complete pipeline for DVR is presented that uses the data reduction achieved by the level-of-detail selection to minimize the data requirements in all stages. This leads to reduction of disk I/O as well as host and graphics memory. The data reduction is also exploited to improve the rendering performance in graphics hardware, employing adaptive sampling both within the volume and within the rendered image. The developed techniques have been applied in particular to medical visualization of large data sets on commodity desktop computers using consumer graphics processors. The specific application of virtual autopsies has received much interest, and several developed data classification schemes and rendering techniques have been motivated by this application. The results are, however, general and applicable in many fields and significant performance and quality improvements over previous techniques are shown.
TIP: Typifying the Interpretability of Procedures

We provide a novel notion of what it means to be interpretable, looking past the usual association with human understanding. Our key insight is that interpretability is not an absolute concept and so we define it relative to a target model, which may or may not be a human. We define a framework that allows for comparing interpretable procedures by linking it to important practical aspects such as accuracy and robustness. We characterize many of the current state-of-the-art interpretable methods in our framework portraying its general applicability. Finally, principled interpretable strategies are proposed and empirically evaluated on synthetic data, as well as on the largest public olfaction dataset that was made recently available \cite{olfs}. We also experiment on MNIST with a simple target model and different oracle models of varying complexity. This leads to the insight that the improvement in the target model is not only a function of the oracle models performance, but also its relative complexity with respect to the target model.
Optimal Policy for Non-Instantaneous Decaying Inventory Model with Learning Effect and Partial Shortages

Deterioration of goods and learning is a realistic phenomenon in daily life. Therefore maintaining the stock of decaying items becomes an important factor for decision makers. In this study deterioration rate follows the Weibull distribution and holding cost is gradually decreases, therefore learning effect is incorporated on holding cost. Many researchers generally assumed that the shortages are either completely backlogged or lost. But in this paper shortage is allowed and partial backlogged. The backlogging rate is taken as exponential function of time. Numerical examples are provided to further illustrate the model. Sensitivity analysis has been carried out to analyze the impact of change in various parameters. The aim of this model is to minimize the total cost.
Expression and in‐situ localization of genes coding for extracellular matrix proteins and extracellular matrix degrading proteases in pancreatic cancer

Pancreatic cancer shows a strong desmoplastic reaction characterized by a remarkable proliferation of interstitial connective tissue (collagens type I and III, fibronectin). In this study we have analyzed the balance of expression of mRNAs encoding extracellular matrix components (collagens I, III and IV, laminin, fibronectin), extracellular matrix‐degrading metalloproteinases (MMP‐1,‐2,‐3 and‐9) and tissue inhibitors of metalloproteinases (TIMP‐1 and‐2) in pancreatic cancer and control pancreatic tissue by Northern‐blot analysis and mRNA in situ hybridization. Transcripts for MMP‐1 (interstitial collagenase) and MMP‐3 (stromelysin‐1) were not detectable in pancreatic cancer and control tissues. Steady‐state levels of transcripts encoding extracellular matrix proteins, MMP‐2 (72‐kDa collagenase IV), MMP‐9 (92‐kDa collagenase type IV), TIMP‐1 and TIMP‐2 were elevated in the majority of pancreatic‐cancer tissue samples as compared to control pancreatic tissue. A good correlation was seen between overexpression of these MMPs and TIMPs and the steady‐state levels of transcripts coding for extracellular matrix proteins, the amount of collagen protein and the severity of the desmoplastic reaction. In situ hybridization studies localized transcripts coding for collagens type I and III to spindle‐shaped stromal cells, whereas transcripts for MMP‐2, MMP‐9, TIMP‐1 and TIMP‐2 were found in both stromal and tumor cells. However, MMP‐2 transcripts appeared to be more abundant in stromal cells, TIMP‐1 and TIMP‐2 transcripts were evenly distributed over tumor and stromal cells and relatively more MMP‐9 transcripts were found in tumor cells. We conclude that, in human pancreatic cancer, MMP‐2, MMP‐9, TIMP‐1 and TIMP‐2 may be involved in processes leading to the strong desmoplastic reaction observed in these tumors. Both stromal and tumor cells appear to be the source of MMPs and TIMPs in human pancreatic cancer. © 1995 Wiley‐Liss, Inc.
Female human resource professionals’ job embeddedness in relation to commitment foci: An exploratory study

Orientation: Managers and human resource practitioners who are concerned about managing talent as a critical resource need to recognise how employees’ job embeddedness relates to their commitment foci within the organisation. By understanding this relationship, gaps can be identified and talent can be managed optimally.Research purpose: The purpose of the study was, firstly, to establish whether a significant relationship exists between job embeddedness and a set of commitment foci and, secondly, to identify the variables that contribute the most to the relationship.Motivation for the study: Organisations increasingly devote more attention to initiatives that enhance the commitment and job embeddedness of their employees in order to assist in the design of a sound talent management plan to close the talent gaps.Research approach, design and method: A quantitative approach was used in this study, utilising a cross-sectional survey design to achieve the objective of the study. Descriptive statistics, Pearson’s product-moment correlations and canonical correlation analysis were conducted. The participants were primarily black women at an early stage of their career, who were employed in the human resource management field in a professional capacity.Main findings: The results indicated that job embeddedness significantly and positively accounted for the variance in organisational and occupational commitment foci of the participants.Practical and managerial implications: Human resource practitioners and managers need to consider how the job embeddedness of employees – specifically female employees – affects their commitment foci in developing talent management plans as part of the organisational strategy.Conclusions: The findings of the study provided empirical confirmation of theoretical views on the psychological aspects that keep employees embedded in their jobs and how these aspects relate to their commitment foci.
Physiologically Based Pharmacokinetic Modeling of Cyclohexane as a Tool for Integrating Animal and Human Test Data

This report describes a physiologically based pharmacokinetic model for cyclohexane and its use in comparing internal doses in rats and volunteers following inhalation exposures. Parameters describing saturable metabolism of cyclohexane are measured in rats and used along with experimentally determined partition coefficients. The model is evaluated by comparing predicted blood and brain concentrations to data from studies in rats and then allometrically scaling the results to humans. Levels of cyclohexane in blood and exhaled air are measured in human volunteers and compared with model values. The model predicts that exposure of volunteers to cyclohexane at levels of 4100 mg/m3 (∼1200 ppm) will result in brain levels similar to those in rats exposed to 8000 mg/m3 (the no-effect level for acute central nervous system effects). There are no acute central nervous system effects in humans exposed to 860 mg/m3, consistent with model predictions that current occupational exposure levels for cyclohexane protect against acute central nervous system effects.
Secure data sharing by restricting user to one-time access

The rapid adaptation to mobile devices and data sharing has changed our life style significantly. Despite the fact that this provides great comfort and proficiency, it also imposes greater challenges in ensuring a secure transfer of sensitive information through these devices. This information could be highly confidential that the owner wants to provide access privileges only to authorized individuals. Many cryptographic algorithms together with potent data protection mechanisms available today are robust enough to ensure the Confidentiality, Integrity and Availability of information. One significant use-case in this regard is when the data owner wants to only share the data securely with the authorized user just once, and making it extremely difficult for user to store or make a copy of the data or to share it with others. In this scenario, it is practically impossible for the data owner to be available and spy on the user all the time to ensure these security requirements are met. In order to address this concern, this thesis work tried to provide a secure mechanism to share information that would authorize end users to access data only once and endeavors to prevent the user from duplicating the data and sharing it with unauthorized users. A part of this work proposes a variant of Proxy Re-encryption algorithm, a relatively new cryptographic primitive, which offers the data owner a way to securely share his/her data via a proxy server, without the need to be available all the time. The proxy server takes care of data re-encryption and data distribution to the registered users, without letting any unauthorized user to decrypt the information and also the proxy itself cannot decrypt the information. With this scheme, the proxy encrypts an already encrypted information in such a way that another secret key can decrypt it. The reencryption key is unique for each registered user and is generated by the data owner by combining the registered user’s public key and his/her own private key. Here, the novelty of this thesis and
Performance Analysis of IEEE 802.11-Based Ad Hoc Networks Using Game Theory

This paper describes a type of selfish node behavior in the MAC layer and studies its effects on the performance of ad hoc networks. We use a game-theoretic approach to investigate the selfish behavior problem by focusing on the strategy that a node can adopt during wireless channel access. Based on this investigation, we obtained the guidelines to design a mechanism that can force the selfish node to obey the IEEE 802.11 protocol, and therefore improve the performance of wireless ad hoc networks. The algorithm consists of two parts. The first part detects selfish behavior based on the throughput, and the second part prevents the selfish behavior. The algorithm has been validated by extensive simulation. Simulation results show that our algorithm are effective in detecting the selfish nodes and eliminate their selfish behavior. As a result, every node can obtain a relatively fair throughput when following the guideline of our algorithm.
Host‐cell lipid rafts: a safe door for micro‐organisms?

The lipid raft hypothesis proposed that these microdomains are small (10–200 nM), highly dynamic and enriched in cholesterol, glycosphingolipids and signalling phospholipids, which compartmentalize cellular processes. These membrane regions play crucial roles in signal transduction, phagocytosis and secretion, as well as pathogen adhesion/interaction. Throughout evolution, many pathogens have developed mechanisms to escape from the host immune system, some of which are based on the host membrane microdomain machinery. Thus lipid rafts might be exploited by pathogens as signalling and entry platforms. In this review, we summarize the role of lipid rafts as players in the overall invasion process used by different pathogens to escape from the host immune system.
The Aspects of Collaborative Procurement: Centralization, Scope and Different Market Structures

Procurement centralization is a process that includes policy decisions on the appropriate level of collaboration, aggregation and standardization. We analyse the main aspects of collaborative procurement: centralization, scope and different market structures. We use a unique dataset that combines Czech tender-level data with the manually-collected data on centrally procured tenders and financial firm-level data for the time span 2008 – 2016. We apply vector generalized linear model to the compulsory centralized procurement sectors and assess the market competition and concentration. We find several key aspects of centralized procurement: the centralization has a significant positive impact on the competition in selected sectors. The framework agreement is recognized as a positive setup of public procurement. We identified a strong negative evidence of the heterogeneity of the procured commodity. The design of centralization process and the degree of centralization is always bound by two elementary questions: the flexibility or unification trade-off and the set-up costs or unit costs trade-off. JEL Classification D44, H11, H57
Predictors of Employee Information Sharing Behavior using Social Media

Purpose: Social media application such as Blog, Wikipedia, Flickr, Facebook, Twitter, and Myspace, are currently become a useful medium of communication as well as sharing information especially in an organisation. This phenomenon effected not only individual all over the world but also employees in Malaysia organisations. Thus, this study is a work-in-progress that referring to a few theories and journals to identify employeeâ€™s intrinsic attitude as a predictor that contribute to information sharing behavior using social media with the readiness for change as a mediator factor.Design/Methodology/Approach: This study based on a review of several journal and theories related to individual behavior focusing on intrinsic attitude that has significantly contribute to employeesâ€™ behavior to adapt with new technologies, which is in this study, social media. &Findings: The results shows that intention behavior, belief expectancy and attitude influence are the predictors for employeesâ€™ intrinsic attitude and readiness for change comes as mediator factor that being predict to have a significant relationship with information sharing behavior using social media among the employee. &Implications/Originality/Value: The existence of readiness for change as mediator between employeeâ€™s intrinsic attitude and information sharing behavior using social media among the employee of Government-Link Company can be taken into consideration for developing a new model of information sharing behavior using social media.
EEG/ERP Measures of Emotion-cognition Integration during Development.

Examination of the relations between brain electrical activity and emotion can be greatly informed by also considering cognition. Psychologists have long struggled with creating a framework for conceptualizing relations between affect and reason (Izard, 1993; Lazrus, 1982; Zajonc, 1980), and more recently have focused on examining interactions between cognition and emotion from both behavioral and brain-based approaches (Sherer, 2003). Although, the field of developmental psychology has traditionally compartmentalized emotion development and cognitive development, there have been recent attempts to integrate these processes conceptually using a neuroscience perspective (e.g., Bell & Deater-Deckard, 2007; Dennis, 2010; Lewis & Todd, 2007; Posner & Rothbart, 2000; Thompson, Lewis, & Calkins, 2008; Zelazo & Cunningham, 2007). Empirical studies with EEG and ERP measures can be used to support these conceptual models (see Fox, Kirwan, & Reeb-Sutherland, this volume, for specifics on measuring EEG/ERP associated with emotion).
Development of Knowledge Economy Framework in the Life Science Sector in the Kingdom of Saudi Arabia

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Global health diplomacy: advancing foreign policy and global health interests

Attention to global health diplomacy has been rising but the future holds challenges, including a difficult budgetary environment. Going forward, both global health and foreign policy practitioners would benefit from working more closely together to achieve greater mutual understanding and to advance respective mutual goals. Attention to global health diplomacy has been rising but the future holds challenges, including a difficult budgetary environment. Going forward, both global health and foreign policy practitioners would benefit from working more closely together to achieve greater mutual understanding and to advance respective mutual goals.
Internet of Things Home Healthcare: The Feasibility of Elderly Activity Monitoring

Homecare systems are a focus of research due to shifting care requirements of the elderly. Activity has become a vital metric when monitoring vulnerable patients. Activity monitoring however is contextual and difficult to capture. In this paper the implementation of a Bluetooth low energy monitoring system which incorporates the interoperability of Internet of Things (IoT) to create a sustainable homecare approach is explored. Monitored patient health is evaluated using activities of daily living standards. Data captured is evaluated to determine movement, motion and location which contribute to the activity based, sensor driven care models. Activity is captured by occupants interacting with 'unique' objects of interest (OOI). Interactions captured are evaluated using activities of daily living by aligning room positioning, transference within the home and OOI use.