Miracle-dz/UniFAR-FTUs huggingface dataset:
Changing information security behaviour : A field experiment on the effectiveness of security training based on deterrence and vulnerability

Information security policy (ISP) training is a central measure for communicating ISP regulations and imparting ISP procedures to employees. While the general importance of such training is widely acknowledged, few studies have examined how the design of ISP training influences its effectiveness. To fill this research gap, this study sought to understand how personal relevance through deterrence arguments and work relevance through vulnerability arguments can enhance ISP training. We theorize about the process by which ISP training affects employees’ ISP compliance behaviour, arguing for a transfer of training lens to study ISP training effectiveness. The results of our field experiment with triangulated data suggest that the effect of argumentative-enhanced training is twofold: Employees who participated in enhanced training sessions were revealed to have superior learning outcomes. Moreover, they exhibited greater intention to follow ISPs. For actual ISP compliance behaviour, the results only reveal a significant effect for deterrence-based training.
Contractor Is International Business Good for Companies ? The Evolutionary or Multi-Stage Theory of Internationalization vs . the Transaction Cost Perspective

and Key Results ■ This paper’s objective is to articulate, more precisely than has occurred in the past, the principal theory rationales underlying the Multinationality/Performance (M/P) link, by examining each claim for the negative or positive benefits of internationalization, from the lens of the theory of the firm and the multinational enterprise. A concurrent objective of this paper is to respond to critiques of M/P theory and discuss methodology and operationalization problems in empirical testing. ■ While international expansion of a firm will not necessarily always improve performance (during the initial international expansion stage, or in cases where a firm may have over-internationalized), for the most part, over the considerable middle range of expansion, net positive benefits accrue from internationalization. Underlying theory rationales are detailed in the paper. ■ The results of over one hundred empirical studies over the past 30 years appear, on superficial examination, to be contradictory, but can be reconciled by the recently proposed 3-stage or S-shaped general theory.
Sexual Behavior of College Students in the Age of AIDS: Strategies for Preventive Education.

In light of college students' high level of knowledge about Acquired Immune Deficiency Syndrome (AIDS) and their persistence in engaging in risky sexual behaviors, this paper reviews the current literature on college students' level of AIDS knowledge, their patterns of behavior, factors essential in designing effective AIDS education programs, and strategies to help students adopt safer sexual practices. The review of AIDS knowledge and sexual behavior found a serious gap between students' degree of knowledge concerning AIDS and the modification of their behavior to prevent HIV infection. An examination of effective education programs found that health educators as well as programs on campuses need a great deal of support from their respective educational institutions and that students may remain detached from the urgency of the current crisis because institutions fail to recognize such urgency themselves. A look at the best approaches to closing the knowledge-behavior gap found that perceived peer norms have been identified as an influential element and that the inclusion of a peer education component that modified college students' perceived peer norms may be the intervention method of choice. (Contains 64 references.) (JB) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** SEXUAL BEHAVIOR OF COLLEGE STUDENTS IN THE AGE OF AIDS: STRATEGIES FOR PREVENTIVE EDUCATION A Doctoral Research Paper Presented to the Faculty of the Rosemead School of Psychology
Ultrasound and nasometric evidence for controlled high vowel nasalization in Montreal French

We examine ultrasound and nasometric data in a variable rate task to quantify the influence of vowel quality, duration, and intraoral gestures on regressive nasalization in Montreal French. Acoustic results suggest that, while on average high and mid vowels are heavily nasalized in this context, only certain high vowels remain significantly nasal as duration increases, for the majority of speakers. We interpret these results as indicative of high vowel nasalization as a controlled property of production, à la Solé [31, 32]. The ultrasound data (maximum tongue height), meanwhile, show no unidirectional or group-wide tendencies, but suggest certain speakers modulate tongue height in order to increase the salience of [i]-nasalization, or to undo height displacement of nasalized [i] in the formant space. Finally, certain speakers show significant nasalization without changes in tongue height.
ON TRIMERESURUS FASCIATUS ( BOULENGER , 1896 ) ( SERPENTES : CROTALIDAE ) , WITH A DISCUSSION ON ITS RELATIONSHIPS BASED ON MORPHOLOGICAL AND MOLECULAR DATA

ÐThe Indonesian species, Trimeresurus fasciatus (Boulenger, 1896) was up to now known only from the holotype. A few specimens of recently imported pitvipers represent the first recorded specimens of T. fasciatus since its original description. We report on variation of the morphological characters of this species on the basis of five new specimens. The relationships of T. fasciatus with other taxa of the genus Trimeresurus, especially T. albolabris and T. insularis, are inferred from mtDNA data. Trimeresurus insularis and T. fasciatus are shown to be closest relatives. The biogeography of these Indonesian pitvipers is briefly discussed.
Knowledge Discovery in Multimedia Content by Diversion of Supervised Machine Learning Techniques Domain : Machine Learning-Multimedia

Knowledge discovery is the problem of extracting new information from large databases, such as recurrent patterns or structural cues. In this domain, the sub-task of cluster analysis deals with partitioning a given data space such that two samples in the same cluster are similar, while those in different ones are not. Clustering algorithms exploit an input similarity measure on the samples, which should be fine-tuned with the data format and the application at hand. However, manually defining a suitable similarity measure is a difficult task in case of limited prior knowledge or complex data structures for example. The purpose of this internship is to investigate an approach for automatically building such a measure by taking advantage of the discriminative abilities of state-of-the-art classification techniques. While classification systems usually require a set of samples annotated with their ground-truth classes, recent works have shown it is possible to exploit classifiers trained on an artificial annotation of the data in order to induce a similarity measure. In this report, after introducing related scientific background, we propose a unified framework, “SIC” (Similarity by Iterative Classifications), which explores the idea of diverting supervised learning for automatic similarity inference. We study several of its theoretical and practical aspects. We also implement and evaluate SIC on three tasks of knowledge discovery on multimedia content. Results show that in most situations the proposed approach indeed benefits from the underlying classifier’s properties and outperforms usual similarity measures for clustering applications.
Using repeated measures of blood biomarkers and physical biomeasures to define changes in volume status in patients with decompensated heart failure, normal volunteers and patients with stable left ventricular systolic dysfunction

Background The non-invasive assessment of volume status in left ventricular systolic dysfunction (LVSD) is challenging. The main thesis objective was to establish the feasibility and potential clinical utility of repeated measures assessment of non-invasive biomarkers in defining changes in volume status within individual volunteers. Methods Differential volume manipulation protocols were achieved in a three-staged plan of investigation[…] Results Summary I demonstrated the smallest variance for bioimpedance measures, and the largest variance for urine biomarkers […] Conclusion The repeated measures of biomarkers studied in response to different volume manipulations were interpreted in the context of their within-subject normal variance. None of the biomarkers studied appeared to have the ideal characteristics clinically for the monitoring of subclinical changes in volume status in stable LVSD or in response to acute diuresis in decompensated heart failure. The significant increases in urine biomarkers following diuretic withdrawal in stable LVSD suggested potentially beneficial renal effects of furosemide in stable LVSD.
TrkB interaction regulates migration of SVZ precursor cells via PI 3K and MAPK signalling pathways

Neuroblasts born in the subventricular zone (SVZ) migrate along the rostral migratory stream, reaching the olfactory bulb (OB) where they differentiate into local interneurons. Several extracellular factors have been suggested to control specific steps of this process. The brain-derived neurotrophic factor (BDNF) has been demonstrated to promote morphological differentiation and survival of OB interneurons. Here we show that BDNF and its receptor TrkB are expressed in vivo throughout the migratory pathway, implying that BDNF might also mediate migratory signals. By using in vitro models we demonstrate that BDNF promotes migration of SVZ neuroblasts, acting both as inducer and attractant through TrkB activation. We show that BDNF induces cAMP response elementbinding protein (CREB) activation in migrating neuroblasts via phosphatidylinositol 3-kinase (PI3-K) and mitogen-activated protein kinase (MAP-K) signalling. Pharmacological blockade of these pathways on SVZ explants significantly reduces CREB activation and impairs neuronal migration. This study identifies a function of BDNF in the SVZ system, which involves multiple protein kinase pathways leading to neuroblast migration.
A Clinico-epidemiological Scenario of Leprosy at a Tertiary Care Centre in Sub-Himalayan Region : A Seven Year Retrospective Study

continues to remain as a major burden on public health expenditure. The purpose of this study was to determine the current clinico-epidemiological profile of leprosy at tertiary care health institution in Himachal Pradesh. This retrospective study was conducted in the Department of Dermatology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India. All patients registered from April 2010 to April 2017 were included in this study. Hospital records of 221 patients were analysed according to age, gender, region of permanent residence, history of contact with leprosy patients, number of patients within state or immigrants from nearby state/country, type of disease-multibacillary (MB) or paucibacillary (PB), type of lepra-reactions and grade of disability patient developed. Out of a total 221 patients majority were in the younger age group of 15-30 years (38.9%), with male predominance (male:female ratio 2.7:1). Majority had MB leprosy (85.5%), and had significant proportion of grade II disability (G2D) compared to national and global data. In clinical disease spectrum, Lepromatous Leprosy (LL) and Borderline lepromatous (BL) leprosy were the most common presentations. Migrants from other states or immigrants from neighbouring country constituted a significant proportion (44/221, 20% approximately). Pure-neuritic disease was diagnosed in 7 (3.2%) patients, childhood cases were only 5 (2.3%) patients, indeterminate leprosy in 3 (1.4%) patients and histoid leprosy in 1 patient (0.004%). To know the exact status of leprosy in the country, knowledge and understanding of the epidemiological profile is an essential pre requisite as it will assess and address public health needs and will help in efficient programme planning and management of leprosy cases in the country. High proportion of MB cases and very high disability percentage shows the need to increase the awareness in the community as well as health care workers so that cases report early, are diagnosed early and managed appropriately so that disabilities become zero in near future. Partnerships among different medical institutions in the state are expected to strengthen the quality referral services and research aimed at eradication.
Microplastics abundance in coastal sediments of Jakarta Bay , Indonesia

Microplastic pollution is currently one of the threats in marine ecosystem and has been focus of researches of environmentalists in all over the world. This problem also occurs in Indonesia, especially in Jakarta Bay. High activities along the rivers flowing to the bay are predicted to be extensive microplastic distribution channels to the sediment of the waters. The purposes of this study were to identify and quantify type and size of microplastics in sediment of Jakarta Bay. Sediment samples were collected twice, in December 2015 and January 2016, on the riverbed in Pluit and Ancol areas. Microplastics from sediment were separated by the following steps: drying, volume reduction, density separation, filtration, and visual sorting. The abundance of microplastic was very high in both locations ranging from 18,405 to 38,790 particles kg dry sediment. Fragment with size of 100-500 μm was the most abundant microplastics in the two locations. Majority of polymer found in the sediment were low density polypropylene (PP). Characteristic of microplastic is needed as an approach to determine its main source, so that the microplastic pollution in Jakarta Bay can be managed properly.
Surface modification of Chlorella vulgaris cells using magnetite particles

Expensive cell concentration procedures represent one of the bottlenecks of large-scale microalgal biotechnological processes as many industrially attractive species have a small cell size and sustain in suspension. An economically effective solution is to alter the process conditions for the cells to form aggregates, which sediment faster. The use of magnetic agents binding to the cell surface and forming larger complexes, that sediment very fast upon application of an external magnetic field, is a rarely explored possibility in this area. We used commercially available, finely pulverized magnetite (Sigma Aldrich) as a potential harvesting agent and studied its surface interactions with an industrially important microalgal strain (Chlorella vulgaris). Firstly, we characterized the interacting surfaces in model environments by zeta potential and contact angle measurements, which were followed by particle size determination. Secondly, we applied the XDLVO theory to predict favorable experimental conditions for a successful magnetic cell modification, which would lead to an effective biomass separation. The hypotheses were then tested by using various ratios of magnetic agent and microalgal biomass under different environmental conditions. Obtained results were in good accordance with the predictions and we achieved an excellent separation efficiency of over 90% within a few minutes at a ratio of microalgae to magnetite 1:26 (w/w). We can conclude that magnetite successfully modifies the microalgal surface under certain conditions and is a promising agent for harvesting C. vulgaris, enabling high separation efficiencies in a very short period of time, but further research is necessary to optimize the process. © 2012 Published by Elsevier Ltd. Selection under responsibility of the Congress Scientific Committee (Petr Kluson) * Gita Procházková. Tel. : +420 220 444 271; fax: +420 224 311 082. E-mail address: gita.prochazkova@vscht.cz. Available online at www.sciencedirect. com 1779 G. Procházková et al. / Procedia Engineering 42 ( 2012 ) 1778 – 1787
New Evidence of the Enhanced Elimination of a Persistent Drug Used as a Lipid Absorption Inhibitor by Advanced Oxidation with UV-A and Nanosized Catalysts

This work demonstrates new evidence of the efficient destruction and mineralization of an emergent organic pollutant using UV-A and titanium nanosized catalysts. The target compound considered in this work is the primary metabolite of a lipid regulator drug, clofibrate, identified in many studies as refractory during conventional wastewater treatment. The photocatalytic performance study was carried out in batch mode at laboratory scale, in aqueous suspension. Kinetic data showed that titanium dioxide P25 Aeroxide® exhibits the highest photocatalytic efficiency compared to the other investigated catalysts. Pollutant degradation and mineralization efficiencies strongly increased when decreasing the initial substrate concentration. Target molecules oxidized faster when the catalyst load increased, and the mineralization was enhanced under acidic conditions: 92% of mineralization was achieved at pH 4 after 190 min of reaction. Radical quenching assays confirmed that HO• and ( h vb + ) were the reactive oxygen species involved in the photocatalytic oxidation of the considered pollutant. In addition, further results revealed that the removal efficiency decreased in real water matrices. Finally, data collected through a series of phytotoxicity tests demonstrated that the photocatalytic process considerably reduces the toxicity of the treated solutions, confirming the process’s effectiveness in the removal of persistent and biorefractory emergent organic water pollutants.
Vista : Declarative Feature Transfer from Deep CNNs at Scale Supun Nakandala

Scalable systems for machine learning (ML) are largely siloed into dataflow systems for structured data and deep learning systems for unstructured data. This gap has left workloads that jointly analyze both forms of data with poor systems support, leading to both low system efficiency and grunt work for users. We bridge this gap for an important class of such workloads: feature transfer from deep convolutional neural networks (CNNs) for analyzing images along with structured data. Executing feature transfer on scalable dataflow and deep learning systems today faces two key systems issues: inefficiency due to redundant computations and crashproneness due to mismanaged memory. We present Vista, a new data system that resolves these issues by elevating this workload to a declarative level on top of dataflow and deep learning systems. Vista automatically optimizes the configuration and execution of this workload to reduce both computational redundancy and the potential for crashes. Experiments on real datasets show that apart from making feature transfer easier, Vista avoids crashes and reduces runtimes by 58% to 92% compared to baselines.
Shallow Shear-Wave Velocity Beneath Jakarta, Indonesia Revealed by Body-Wave Polarization Analysis

Noting the importance of evaluating near-surface geology in earthquake risk assessment, we explored the application to the Jakarta Basin of a relatively new and simple technique to map shallow seismic structure using body-wave polarization. The polarization directions of P-waves are sensitive to shear-wave velocities (Vs), while those of S-waves are sensitive to both body-wave velocities. Two dense, temporary broadband seismic networks covering Jakarta city and its vicinity were operated for several months, firstly, from October 2013 to February 2014 consisting of 96 stations, and secondly, between April and October 2018 consisting of 143 stations. By applying the polarization technique to earthquake signals recorded during these deployments, the apparent half-space shear-wave velocity (Vsahs) beneath each station is obtained, providing spatially dense coverage of the sedimentary deposits and the edge of the basin. The results showed that spatial variations in Vsahs obtained from polarization analysis are compatible with previous studies, and appear to reflect the average Vs of the top 150 m. The low Vs that characterizes sedimentary deposits dominates most of the area of Jakarta, and mainly reaches the outer part of its administrative margin to the southwest, more than 10 km away. Further study is required to obtain a complete geometry of the Jakarta Basin. In agreement with previous studies, we found that the polarization technique was indeed a simple and effective method for estimating near-surface Vs that can be implemented at very low-cost wherever three-component seismometers are operated, and it provides an alternative to the use of borehole and active source surveys for such measurements. However, we also found that for deep basins such as Jakarta, care must be taken in choosing window lengths to avoid contamination of basement converted phases.
Vocabulary Processes

This chapter is about vocabulary processes and, in particular, vocabulary acquisition processes. Our focus is on how school children add words to their reading and writing vocabularies and how they learn the meanings of new words. There continues to be a strong, if not increasing, interest in vocabulary among reading researchers, according to extensive reviews of recent research provided by Beck and McKeown (1991) in Volume II of the Handbook of Reading Research, as well as by Baumann and Kameenui (1991) and Ruddell (1994). A similar concern for vocabulary among second-language researchers is evidenced by several recent books (e.g., Coady & Huckin, 1997; Schmitt & McCarthy, 1997). This interest in vocabulary stems in part from the long-standing recognition that vocabulary knowledge strongly influences reading comprehension (Davis, 1944; Anderson & Freebody, 1981). Among practitioners, on the other hand, interest in vocabulary has varied and is currently not especially high. For the last 2 years, the International Reading Association reported on a survey of “hot topics” in literacy research (Cassidy & Wenrich, 1997, 1998). In both years, vocabulary was rated as “cold,” the bottom category. This low level of interest reflects an emphasis on instruction that is authentic, meaningful, and integrated, which stands in stark contrast to most traditional practices associated with vocabulary. To many, the word vocabulary may suggest a reductionist perspective in which words are learned by memorizing short definitions and sentences are understood in a strictly bottomup fashion by putting together the meanings of individual words—a picture inconsistent with our current understanding of the reading process. This piece counters a reductionist perspective on vocabulary in two ways. In the first section of the chapter we discuss the complexity of word knowledge. In the second section we discuss how children gain information about words from context, word parts, and definitions, noting the limitations as well as the potential of each of these sources, and emphasizing the role of metalinguistic awareness in vocabulary learning.
HISTORY AND DEVELOPMENT OF COLLABORATIVE LEARNING AND E-LEARNING IN EUROPE : LESSONS LEARNED

Information and Communication Technology (ICT) has a dual role in our information society. On the one hand, ICT is assumed to cause partly unpredictable changes in our future information society and in its educational contexts in particular. Increasing challenges of rapidly changing, knowledge-intensive and technology-oriented working life presuppose that facilities for life-long learning and continuous competence development are guaranteed for people in different phases of life. On the other hand, with the aid of ICT, solutions can be built for answering in these challenges. Considerable expectations have been set for the use of new technologies in education at the beginning of this millennium.