Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Resource Management as Intervention in the Evolution of Human Resources Nr . 35 ( 2004 )

This paper discusses a new evolutionary approach to Human Resource Management (HRM ) and presents a development-oriented typology of HRM. It argues that ‘Human Resources’ are continuously evolving in organizations and that HRM can and must intervene in the emergent evolution process in order to influence the speed and direction of the development. HRM can either enhance or hinder the dynamics of evolutionary change of the qualifications and motivations of the workforce. It may also influence the development path of the ‘Human Resources’. The paper stresses that organizations should implement either a flexibility or stability enhancing HRM-strategy, depending on the organizational need for adaptation of the workforce to changing conditions for organizational problem solving. Developing a new typology, the paper combines the organizational need for adaptation and various HRMstrategies. 1 This paper is a revised version of a paper presented by the authors at the VIIth IFSAM (International Federation of Scholarly Associations of Management) World Conference in Götheborg, Sweden in July 2004.
ASR dependent techniques for speaker identification

Traditional text independent speaker recognition systems are based on Gaussian Mixture Models (GMMs) trained globally over all speech from a given speaker. In this paper, we describe alternative methods for performing speaker identification that utilize domain dependent automatic speech recognition (ASR) to provide a phonetic segmentation of the test utterance. When evaluated on YOHO, several of these approaches were able outperform previously published results on the speaker ID task. On a more difficult conversational speech task, we were able to use a combination of classifiers to reduce identification error rates on single test utterances. Over multiple utterances, the ASR dependent approaches performed significantly better than the ASR independent methods. Using an approach we call speaker adaptive modeling for speaker identification, we were able to reduce speaker identification error rates by 39% over a baseline GMM approach when observing five test utterances from a speaker.
The Prevalence of Microalbuminuria in Diabetic Children and Adolescents and Its Relation to Puberty

The albumin excretion rate (AER) was studied in two groups of diabetic children and adolescents. Twenty‐four‐hour AER was studied in 75 children with diabetes for 5 years, in 49 children with diabetes for 10 years, in 55 children with diabetes for 10–20 years and in 21 age matched healthy controls. Overnight AER was studied in 129 diabetic children and adolescents with a duration of diabetes varying from 1–14 years. Diabetics exhibited a wide range of AER‐values and when expressed per body surface area, diabetic children had significantly higher AER compared to controls. Log transformed AER‐values were significantly correlated to age and body surface area in diabetics but not in controls. In the diabetics, log AER was also correlated to systolic and diastolic blood pressure but not to HbA1c. 20% of the 0 diabetics had AER values exceeding the upper value for healthy controls which was 18.5 μg/min. 31/35 of them were older than 12 years. In both groups of diabetics, 5% had AER‐values exceeding those reported to be predictive for later development of overt nephropathy, the youngest being 16 years old. When comparing diabetic children 0–12 years (i.e. before the maximal growth spurt of puberty) to those older than 12 years, at the same duration of diabetes, the latter group had significantly higher AER‐values. No sex difference was found in either age group. It is concluded that after puberty diabetic patients also show evidence of incipient diabetic nephropathy. Thus, routine screening for microalbuminuria is recommended also in pediatric diabetes care after 12 years of age.
Density Ratio Estimation: A Comprehensive Review

Density ratio estimat ion has attracted a great deal of at, $t$ . ent.ion in t,he $s ^{1}tat.is^{\backslash}I_{l}ici$ , and inachine learning $c,ort1Y1Jtlnit _{\text{ ノ }}iP_{\iota}hsinc\cdot e$ it can be $ \backslash1_{\backslash}b’rightarrow(1$ for solving various $ \simg
Multimedia and multimodal systems: commonalities and differences

2. Definitions Due to differences on terminology usage in the literature the terms modality, medium and representation need to be defined. In a communication act, such as learning in a classroom, modality refers to the sensory or perceptual experience (e.g. visual, tactile, etc.) and is closely related to the individual. Medium is a means of conveying a representation (to a human), e.g. a diagram or a text. Representation sketches or stores information, e.g. semantic net, English language. Consider, for example, a classroom where pupils are taught about gravity. They listen and look while the teacher explains by speaking and gesturing (perceptual experience). The teacher has written an equation of gravity (w=m*g) on the board as well as a diagram. These are different types of representation. Some of the artefacts that the teacher or the pup ils use carry several representations, e.g. the board contains text, form or diagram written on it. Imagine now that pupils use the pen as an artefact to experiment with the law of gravity. Modality refers to the use of visual, auditory or tactile cues that pupils use to see the representations, hear the teacher’s presentation or handle the pen to understand by doing (sensory or perceptual experience).
Power Control Algorithm for Providing Packet Error Rate Guarantees in Ad-Hoc Networks

We investigate the issue of power control in mobile ad-hoc networks under distributed resource allocations, where the interference at the receivers is not known in advance. Based on a model that captures the physical layer and power control issues more accurately, we develop a new power control algorithm that can provide a physical/link layer quality-of-service in the form of packet error rate. We then formulate the problem of minimizing the average aggregate transmission power as an optimization problem, and show that our proposed power control algorithm converges to a solution of the optimization problem.
Stereotactic body radiotherapy for primary and metastatic liver tumors - the Mayo Clinic experience.

Introduction To better understand the efficacy of liver SBRT we reviewed our prospectively collected institutional SBRT database. Methods Between May 2008 and March 2013, 80 patients with 104 liver lesions received SBRT. The Kaplan-Meier method estimated local control (LC), overall survival (OS). Cox proportional hazards regression models identified factors associated with LC and OS. Results The median follow-up for living patients was 38.6 months. Patients had primary (n=17) or metastatic (n=63) tumors. The median tumor size was 2.7 cm (range, 0.6-14.0). The 1 and 4 year rates of LC were 89.4% and 88%, respectively. Colorectal (CRC) metastasis was associated with lower rates of LC (p=0.013). OS at 1 and 4 years was 78% and 25%, respectively. Patients with CRC metastases had higher rates of OS (p=0.03). The occurrence of severe acute and late toxicity was 3.8% and 6.3%, respectively. Conclusions SBRT should be studied in prospective clinical trials compared with other liver-directed treatment modalities.
Correlation between vascular endothelial growth factor‐C expression and invasion phenotype in cervical carcinomas

The correlation between vascular endothelial growth factor (VEGF)‐C gene expression and in vitro invasive activity and matrix metalloproteinase (MMP)‐2 or 9 gene expression and proteolytic activity in 11 cervical carcinoma cell lines, was investigated. Immunohistochemical expression of VEGF‐C in 52 cervical carcinoma tissues was also correlated with tumor aggressiveness with respect to clinicopathologic features, tumor vascularity, MMP‐2 expression and patient outcome. Expression of VEGF‐C mRNA differed remarkably among the cell lines and there was a statistical correlation between VEGF‐C gene expression and the number of invaded tumor cells (p = 0.0009) and MMP‐2 gene expression and activity (p < 0.05). Anti‐VEGF‐C antibody inhibited the invasive and proteolytic activity of tumor cells in a concentration‐dependent manner. VEGF‐C or MMP‐2 expression in clinical tissue samples was well correlated with depth of myometrial invasion, endometrial invasion, pelvic lymphnode metastasis and tumor vascularity (p < 0.05) and there was a close relation between VEGF‐C and MMP‐2 expression (p < 0.0001) in cervical carcinomas. Overall survival rates for 14 patients with strong VEGF‐C staining tumors were lower than those for 38 patients with weak VEGF‐C staining tumors (p = 0.0132) and VEGF‐C tissue status emerged as an independent prognostic parameter (p = 0.0232). These results suggest that VEGF‐C expression is closely related to invasion phenotype and affects the patient's survival in cervical carcinomas. © 2002 Wiley‐Liss, Inc.
Evolution of the Heart Rate Variability complexity during Kangchenjunga climbing

At high altitude there is a reduced oxygen pressure in the atmosphere which results in physiological changes. Heart Rate Variability (HRV) is a technique to quantify the autonomic nervous system (ANS) regulation of the heart rate, allowing a noninvasive assessment of the ANS in extreme environments. The aim of this work was to assess the evolution of the HRV complexity during Kangchenjunga (8.586 m) climbing. Five spanish climbers recorded their RR-interval time series every day during the expedition. We divided the data in different stages: Spain Baseline, Kathmandu Baseline, Acclimation Trekking, Kathmandu After Acclimation, Base Camp 1, Base Camp 2, Summit, Base Camp 3, and Kathmandu after expedition. At the submission time we had acces only to complete recordings from one climber. We assessed the complexity of HRV using sample entropy (SampEn) and normalized compression distance (NCD), which exploits linear and nonlinear relations in the data and allows the comparison of sequences of different sizes. We estimated the dissimilarity of every stage in the climb against the first stage. From the beginning and during acclimation dissimilarity (NCD) increased and then decreased once the climbers were acclimated. Dissimilarity jumped up in Base Camp stage and then decreased from that point until the end of the expedition. Both indices showed an initial change in the complexity until the Summit and from the Summit both showed a tendency to recover the complexity of the HRV. Results showed that NCD is able to measure the changes in complexity with a little more detail and smoother than SampEn.
Scalable techniques for document identifier assignment in inverted indexes

Web search engines depend on the full-text inverted index data structure. Because the query processing performance is so dependent on the size of the inverted index, a plethora of research has focused on fast end effective techniques for compressing this structure. Recently, several authors have proposed techniques for improving index compression by optimizing the assignment of document identifiers to the documents in the collection, leading to significant reduction in overall index size. In this paper, we propose improved techniques for document identifier assignment. Previous work includes simple and fast heuristics such as sorting by URL, as well as more involved approaches based on the Traveling Salesman Problem or on graph partitioning. These techniques achieve good compression but do not scale to larger document collections. We propose a new framework based on performing a Traveling Salesman computation on a reduced sparse graph obtained through Locality Sensitive Hashing. This technique achieves improved compression while scaling to tens of millions of documents. Based on this framework, we describe a number of new algorithms, and perform a detailed evaluation on three large data sets showing improvements in index size.
Migration and foreign policy: the case of Libya

This article provides a critical analysis on migration policies and trends across Libya. I focus on the relations between Libya and its Arab and African neighbours between the 1970s and 2010. In examining migration from the angle of international relations, I document the ways in which the regime has employed migration as a foreign policy tool to affect the behaviour of neighbouring countries.
ZnO, TiO(2), SiO(2,) and Al(2)O(3) nanoparticles-induced toxic effects on human fetal lung fibroblasts.

OBJECTIVE This study aims to investigate and compare the toxic effects of four types of metal oxide (ZnO, TiO(2), SiO(2,) and Al(2)O(3)) nanoparticles with similar primary size (∼20 nm) on human fetal lung fibroblasts (HFL1) in vitro. METHODS The HFL1 cells were exposed to the nanoparticles, and toxic effects were analyzed by using MTT assay, cellular morphology observation and Hoechst 33 258 staining. RESULTS The results show that the four types of metal oxide nanoparticles lead to cellular mitochondrial dysfunction, morphological modifications and apoptosis at the concentration range of 0.25-1.50 mg/mL and the toxic effects are obviously displayed in dose-dependent manner. ZnO is the most toxic nanomaterials followed by TiO(2), SiO(2), and Al(2)O(3) nanoparticles in a descending order. CONCLUSION The results highlight the differential cytotoxicity associated with exposure to ZnO, TiO(2), SiO(2), and Al(2)O(3) nanoparticles, and suggest an extreme attention to safety utilization of these nanomaterials.
Ontology Learning from Text Using Automatic Ontological-Semantic Text Annotation and the Web as the Corpus

We present initial experimental results of an approach to learning ontological concepts from text. For each word to be learned, our system a) creates a corpus of sentences, derived from the web, containing this word; b) automatically semantically annotates the corpus using the OntoSem semantic analyzer; c) creates a candidate new concept by collating semantic information from annotated sentences; and d) finds in the existing ontology concept(s) “closest” to the candidate. In the long term, our approach is intended to support the continual mutual bootstrapping of the learner and the semantic analyzer as a solution to the knowledge acquisition bottleneck problem in AI.
Diagonal transforms suffice for color constancy

The main result is to show that under the conditions imposed by the Maloney-Wandell color constancy algorithm, color constancy can be expressed in terms of a simple independent adjustment of the sensor responses, so long as the sensor space is first transformed to a new basis. The overall goal is to present a theoretical analysis connecting many established theories of color constancy. For the case where surface reflectances are two-dimensional and illuminants are three-dimensional, it is proved that perfect color constancy can always be solved for by an independent adjustment of sensor responses, which means that the color constancy transform can be expressed as a diagonal matrix. In addition to purely theoretical arguments, results from simulations of diagonal-matrix-based color constancy, in which the spectra of real illuminants and reflectances along with the human cone sensitivity functions were used, are presented. The simulations demonstrate that when the cone sensor space is transformed to its new basis in the appropriate manner, a diagonal matrix supports close to optimal color constancy. <<ETX>>
Business renovation: business rules (still) the missing link

The main aim of this paper is to present the characteristics of business renovation efforts and research into some aspects of the business process and information modelling. Different business‐rule categories are discussed and the relationships that exist between business rules and other business‐related concepts are presented. The paper also introduces a business activity meta‐model as an integration link between business and information modelling. Its motivation is to help establish an environment in which business rules can be traced from their origin in the business environment through to their implementation in information systems.
Process Mining Based on Specification Slicing for Dynamic Reconfiguration

Companies faced with rapid changes in market environment and uncertain demands of consumers are actively making investments in the information system and it is expediting the growth of the market for workflow which automates the work process. The concept of workflow mining is required for designing and supporting the business process focusing on productivity enhancement. The existing workflow mining technology was designed to extract business process redesign information from simple database fields or create a process model by collecting, identifying, and analyzing log information from the system that it could not be dynamically reconfigured by exploring the process flow suitable for new requests made on business process. This study suggests data extraction algorithm helpful to dynamic reconfiguration by analyzing semantic relationship based on specification slicing technique so that the new service requests given by the user are dynamically reflected in the initial workflow scenario without interrupting the workflow service in operations
Defect-oriented cell-aware ATPG and fault simulation for industrial cell libraries and designs

Industry is facing increasingly tougher quality requirements for more complex ICs. To meet these quality requirements we need to improve the defect coverage. This paper presents a new methodology to significantly increase the defect coverage of the test patterns generated by ATPG tools. The fault model used during the ATPG is enhanced to directly target layout-based intra-cell faults. In contrast to previous techniques, such as Gate-Exhaustive, N-Detect, or Embedded-Multi-Detect, which either are too complex for real-world designs or merely improve the probability of detecting intra-cell defects, the new approach targets the actual root causes of intra-cell defects. The newly proposed Cell-Aware-methodology has been evaluated for 90nm and 65nm technologies on 1671 library cells and on 10 real industrial designs with up to 50 million faults. The experimental results show an average increase of 1.2% in defect coverage and a reduction of 420ppm in escape rate for a 50mm2 design.
A high proportion of T lymphocytes that infiltrate H-2-incompatible heart allografts in vivo express genes encoding cytotoxic cell-specific serine proteases, but do not express the MEL-14-defined lymph node homing receptor

The role of cytotoxic cells in in vivo immune functions such as allograft rejection is unknown. To begin to assess the function of cytolytic cells in vivo we have begun with cytolytic cell-specific functional molecules: we have isolated and characterized cytolytic cell- specific cDNA clones from cytolytic T cell clones, both encoding distinct serine esterases. The HF gene encodes a trypsin-like enzyme while the C11 gene encodes an enzyme with likely specificity for acidic residues. Here we demonstrate, using in situ hybridization with RNA probe, that both genes are expressed selectively in a subset of T lymphocytes that have infiltrated cardiac allografts. The phenotype of these cells is consistent with the most frequent phenotype of active CTL raised in vitro: they are predominantly CD4-, CD8+, MEL-14- T cell blasts. Thus the expression of these genes, each of which encodes serine esterase found in killer cell granules in vitro, is a valid marker for these cells in vivo as well. The kinetics of their accumulation is consistent with, but not proof of, a putative role in allograft rejection. It is likely that HF and C11 gene expression will be of diagnostic value.
ClickOS and the Art of Network Function Virtualization

Over the years middleboxes have become a fundamental part of today's networks. Despite their usefulness, they come with a number of problems, many of which arise from the fact that they are hardware-based: they are costly, difficult to manage, and their functionality is hard or impossible to change, to name a few. To address these issues, there is a recent trend towards network function virtualization (NFV), in essence proposing to turn these middleboxes into software-based, virtualized entities. Towards this goal we introduce ClickOS, a high-performance, virtualized software middlebox platform. ClickOS virtual machines are small (5MB), boot quickly (about 30 milliseconds), add little delay (45 microseconds) and over one hundred of them can be concurrently run while saturating a 10Gb pipe on a commodity server. We further implement a wide range of middleboxes including a firewall, a carrier-grade NAT and a load balancer and show that ClickOS can handle packets in the millions per second.
Autosomal Dominant Polycystic Kidney Disease: Core Curriculum 2016.

Autosomal dominant polycystic kidney disease (ADPKD) is the most common monogenic kidney disease. It is characterized by relentless development of kidney cysts, hypertension, and eventually end-stage renal disease (ESRD). ADPKD is associated abdominal fullness and pain, cyst hemorrhage, nephrolithiasis, cyst infection, hematuria, and reduced quality of life, among other symptoms. The disease is a consequence of mutations in PKD1 or PKD2, encoding polycystin 1 and polycystin 2, respectively. Many recent advances have been made in understanding and managing ADPKD. This Core Curriculum outlines the different aspects of molecular genetics, pathophysiology, diagnosis, and management of kidney and extrarenal complications in ADPKD.
Enhancing employability: integrating real world experience in the curriculum

Purpose – The purpose of this paper is to report on pedagogical research into the student experience of an approach to enterprise education integrated into the curriculum in a large metropolitan university. The paper aims to explore the implications which the research findings have for pedagogy for enhancing student employability and to discuss the approach to integrating the employability experience within these students' programme of study.Design/methodology/approach – An explanatory case study approach was adopted which aimed to explore students' perspectives on studying in a simulated work environment. Using the case study approach, phenomena of the student experience and behaviour identified through a survey questionnaire were used as a benchmark to understanding how and to what extent students learn employability skills and attributes within the learning environment. The quantitative questionnaire was followed by in‐depth focus group interviews which explored the ways in which students learned in in.
Torque Ripple and EMI Noise Minimization in PMSM Using Active Filter Topology and Field-Oriented Control

This paper proposes an active filter (AF) topology to reduce the torque ripple and harmonic noises in a permanent-magnet synchronous motor. The topology consists of an insulated-gate bipolar transistor AF and two resistance-inductance-capacitance high-pass electromagnetic interference (EMI) noise filters, i.e., one in the primary and the other in the secondary circuit of the coupling 1:1 transformer. The AF is characterized by detecting the harmonics in the motor phase voltages by comparing the measured phase values with the reference voltages generated as a function of the motor parameters and control setting values under field-oriented control. The AF uses the hysteresis voltage control method, while the motor main circuit uses the hysteresis current control method; thus, the two control methods independently work together to provide an almost sinusoidal voltage to the motor windings. The simulation results show total harmonic distortion drops of greater than 13% with EMI noise damping down to ~-10 dB as well as considerable reduction in torque ripple.