Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of knowledge-based e-commerce product recommender agents on online consumer decision-making

Online retailers are providing a large amount of products over the Internet for potential customers. Given the opportunity of accessing vast amounts of products online, customers usually encounter difficulties to choose the right product or service for themselves. Obtaining advice from the Internet is both time consuming and most of the time unreliable. Therefore, some kind of intelligent software is needed to act on behalf of customers in such situations. Recommender agents are intelligent software providing easily accessible, high-quality recommendations for online consumers. They either track online customer behaviour implicitly or obtain information from the customer explicitly and provide the products or services in which the customer might be interested. By utilizing such systems, online retailers not only increase their sales but also assist their customers in finding the products or services they seek. This study assessed the influence of knowledge-based recommender agents on the online-consumer decision-making process. Shopping duration, purchase of desired item, effort spent in searching for the desired product and the decision quality of online consumers were assessed by exposing the participants to a knowledge-based recommender system which has been integrated into one of the online shopping systems developed in the scope of this study. Only objective measures have been utilized in this research; that is, shopping system log data has been used to measure the influence of recommender agents on the consumer decision-making process. Study findings have shown that knowledge-based recommender agents improve the consumer decision-making process by reducing the shopping duration and effort spent in searching for suitable products. Also, it was found that decision quality and the number of consumers who purchase the desired item increase with their use of such systems. The results of this study provide additional proof of the potential benefits of integrating such systems into online web stores.
Domain adaptation based on deep denoising auto-encoders for classification of remote sensing images

This paper investigates the effectiveness of deep learning (DL) for domain adaptation (DA) problems in the classification of remote sensing images to generate land-cover maps. To this end, we introduce two different DL architectures: 1) single-stage domain adaptation (SS-DA) architecture; and 2) hierarchal domain adaptation (H-DA) architecture. Both architectures require that a reliable training set is available only for one of the images (i.e., the source domain) from a previous analysis, whereas it is not for another image to be classified (i.e., the target domain). To classify the target domain image, the proposed architectures aim to learn a shared feature representation that is invariant across the source and target domains in a completely unsupervised fashion. To this end, both architectures are defined based on the stacked denoising auto-encoders (SDAEs) due to their high capability to define high-level feature representations. The SS-DA architecture leads to a common feature space by: 1) initially unifying the samples in source and target domains; and 2) then feeding them simultaneously into the SDAE. To further increase the robustness of the shared representations, the H-DA employs: 1) two SDAEs for learning independently the high level representations of source and target domains; and 2) a consensus SDAE to learn the domain invariant high-level features. After obtaining the domain invariant features through proposed architectures, the classifier is trained by the domain invariant labeled samples of the source domain, and then the domain invariant samples of the target domain are classified to generate the related classification map. Experimental results obtained for the classification of very high resolution images confirm the effectiveness of the proposed DL architectures.
Anonymization of real data for IDS benchmarking

Most IDS evaluation approaches use simulated network traffic as base for the test data sets used in the evaluation. Simulated network traffic lacks the diversities characteristic to a real world network. These diversities may be caused by non-standard implementations of protocols or abnormal protocol behavior, like unfinished threeway TCP handshakes and teardowns. For realistic IDS evaluations, there is a need for test data sets based on real recorded network traffic. Such data sets must also be distributable since a valid test should be possible to reproduce by other evaluators. Due to legal concerns test data sets based on real recorded traffic must be anonymized. This thesis presents a methodology for anonymization of real network data. The methodology focuses on information at the application layer, and HTTP/1.1 in particular. A prototype, called Anonymator, is implemented based on the methodology. A data set anonymized using such a methodology can be used in IDS evaluations, providing more realistic evaluations. It can also be distributed since identifying information is anonymized. This way evaluations can be validated by third parties. The methodology and prototype are tested thoroughly through experiments using a data set consisting of HTTP traffic mixed with attacks. The prototype implements different anonymization strengths that can be chosen by the operator. The experiments show the differences between the anonymization schemes. The differences are carefully explained. Results show that the two strongest anonymization schemes give good level of anonymity without losing too much realism. Anonymization of real data for IDS benchmarking
The SEIQR–V Model: On a More Accurate Analytical Characterization of Malicious Threat Defense

Epidemic models have been used in recent times to model the dynamics of malicious codes in wireless sensor network (WSN). This is due to its open nature which provides an easy target for malware attacks aimed at disrupting the activities of the network or at worse, causing total failure of the network. The Susceptible-Exposed-Infectious-Quarantined-Recovered– Susceptible with a Vaccination compartment (SEIQR-V) model by Mishra and Tyagi is one of such models that characterize worm dynamics in WSN. However, a critical analysis of this model and WSN epidemic literature shows that it is absent essential factors such as communication range and distribution density. Therefore, we modify the SEIQR-V model to include these factors and to generate better reproduction ratios for the introduction of an infectious sensor into a susceptible sensor population. The symbolic solutions of the equilibriums were derived for two topological expressions culled from WSN literature. A suitable numerical method was used to solve, simulate and validate the modified model. Simulation results show the effect of our modifications.
Design & Performance Analysis of Low Power Reversible Carry Skip Adder

Abstract: Now a day’s reversible logic is an attractive research area due to its low power consumption in the field of VLSI design circuit. This paper presents reversible carry skip adder using various reversible logic gates. The classical set of gates such as AND, OR & EX-OR are not reversible. Reversible logic circuits provide low power dissipation as well as zero fan out. In this paper carry skip adder is designed using Modified HNG & Modified FRGgates, thus provided low quantum cost and power dissipation. The comparative result shows that the proposed design is much better in terms of power.
Improving class participation in it tutorials and small lectures

The aim of this paper is to present some initial findings from an investigation into strategies for improving class participation in tutorials and small lectures in the Information Technology (IT) context. The research used a qualitative approach and data collection was undertaken using student focus groups and semistructured interviews with academics in an Australian IT Faculty. The findings highlight various reasons why students do or don’t participate. Also strategies which academics can utilise to encourage student participation in IT tutorials and small lectures were discovered. Keyword Class Participation, IT Teaching and Learning, Focus Groups
Hand functioning in children with cerebral palsy / Le fonctionnement de la main chez les enfants infirmes moteurs d'origine cérébrale

The purpose of the present work was to study hand impairments and manual ability in children with cerebral palsy (CP) as well as to clarify their relationship. Appraising the degree of hand impairments requires normative data to differentiate the real dysfunctions of CP children from the normal difficulties according to their age, sex, or handedness. As there is no normative data for gross manual and fine finger dexterity, a first experiment focused on the normal development of manipulative functions was conducted to establish these norms. A second experiment was carried out to develop and validate through the Rasch model a measure of manual ability in children with CP since such a measure was not yet available. The invariance of the ABILHAND-Kids questionnaire was also tested across relevant demographic and clinical subgroups of CP children. Finally, a third experiment was performed to quantify the hand impairments in children with CP and to investigate their relationship with manual ability as measured with the ABILHAND-Kids questionnaire. Hand motor impairments, markedly more prevalent than hand sensory impairments, were moderately correlated with manual ability measures and predicted 58% of their variance. Consequently, manual ability cannot simply be inferred from hand impairments and should be measured and treated per se. / L'objectif de ce travail etait d'etudier les deficiences de la main et l'habilete manuelle chez les enfants infirmes moteurs d'origine cerebrale (IMOC) ainsi que de clarifier leur relation. Apprecier la gravite des deficiences de la main necessite des donnees normatives afin de differencier les dysfonctionnements reels des enfants IMOC des difficultes normales compte tenu de leur âge, sexe, ou lateralite. Etant donne l'absence de normes quant a la dexterite manuelle grossiere et la dexterite digitale fine, une premiere etude a ete realisee afin d'examiner le developpement normal de ces deux types de dexteriteDes normes sur les dexterites manuelle grossiere et digitale fine ont ainsi pu etre etablies. Une deuxieme etude a ete effectuee afin de developper et valider a travers le modele de Rasch une mesure de l'habilete manuelle chez les enfants IMOC. L'invariance du questionnaire ABILHAND-Kids a egalement testee a travers differents sous-groupes demographiques et cliniques d'enfants IMOC. Enfin, une troisieme etude a ete realisee afin de quantifier les deficiences de la main chez les enfants IMOC et d'investiguer leur relation avec l'habilete manuelle. Les deficiences motrices de la main, plus prevalentes que les deficiences sensitives, etaient moderement correlees avec les mesures d'habilete manuelle et predisaient 58% de leur variance. En consequence, l'habilete manuelle ne peut etre simplement inferee a partir des deficiences de la main et devrait donc etre mesuree et traitee pour elle-meme.
Cervical Myelopathy Secondary to Multiple Spondylotic Protrusions: A Clinicopathologic Study

Five patients with severe cervical spondylotic myelopathy were followed clinically until their deaths, and their neurologic deficits were repeatedly documented. In the terminal phase, these patients exhibited abnormal postures, severe muscle wasting, and the inability to stand and walk. Sensory loss varied and was most severe peripherally. Necropsy on all 5 patients disclosed multiple levels of spinal cord compression as measured by computing an anteroposterior compression ratio. This compression was associated with extrusive destruction of both gray and white matter, and ascending and descending demyelination could be traced above and below the most damaged segment.
A Corpus Of Java Projects Representing The 2012 Ohloh Universe

A corpus of Java projects build using the Software Projects Sampling (SPS) tool by Naggapan et al [1]. SPS measures representativeness of a smaller corpus with respect to the universe (Ohloh 2012) in terms of diversity dimensions and constructs a maximally representative corpus by iteratively adding projects that would increase the representativeness most. The corpus contains the source code of the projects selected at 1 June 2012. This is due to the fact that the Ohloh data on which the diversity was calculated was of that period. [1] M. Nagappan, T. Zimmermann, and C. Bird, “Diversity in software engineering research,” in ESEC/FSE. ACM, 2013, pp. 466–476.
Persaingan Tujuh Portal Berita Online Indonesia berdasarkan Analisis Uses and Gratifications

Abstract : The development of internet technology in journalism has spawned online news portals. The presence of this new media is in line with the increasingly dynamic audience in information searching in mass media. The population growth of online news portals in Indonesia increases the competition amongs the providers. This competition leads portals to improve their service to win audienceâ€™s choice. This study examines the competition based on the audienceâ€™s satisfaction to information provided by the portals. A Uses and Gratifications model is used to measure audienceâ€™s motives and gratifications. Abstrak : Portal berita online menjadi satu produk dari perkembangan teknologi internet di dunia jurnalisme. Kemunculan media baru ini sejalan dengan perkembangan audiens yang semakin dinamis dalam mencari informasi di media massa. Populasi portal berita online di Indonesia yang terus tumbuh membuat persaingan industri portal berita online menjadi ketat. Media online berupaya merebut hati pembacanya dengan menyajikan informasi yang mampu menjawab kebutuhan audiens. Kepuasan audiens akan sajian informasi yang ditawarkan oleh portal berita online menjadi dasar penelitian untuk melihat tingkat persaingan yang terjadi. Teori uses and gratifications digunakan penulis untuk melihat motif dan kepuasan audiens dalam mengakses portal berita online
A dynamic-time-warp integrated circuit for a 1000-word speech recognition system

The design of a custom MOS-LSI chip capable of performing the pattern matching portion of a 1000-word speech recognition algorithm in real time is reported. The chip implements a dynamic-time-warp algorithm. The chip is part of a single-board speech recognition system that performs spectral analysis, dictionary storage and management, and speech recognition for both isolated and connected word applications of up to 1000 words. Speech recognition algorithms are normally refined to work well on general-purpose machines without the influence of future special-purpose hardware implementation. With general-purpose machines, chip implementation issues such as bit widths and parallelism cannot be utilized so they are ignored in favor of increasing algorithmic complexity by techniques such as pruning. If developed together, the chip architecture and algorithm can be refined to fully use parallelism and increasing throughput, while retaining efficient silicon area utilization. The resulting special-purpose architecture is sufficiently general that connected speech can be recognized without a speed penalty.
The association of body composition parameters with nonalcoholic hepatic steatosis

Giris: Obezite ile siki korelasyonu bulunan Nonalkolik yagli karaciger hastaligi (NYKH) sosyal statunun iyilesmesi ile birlikte dunya capinda yaygin olarak izlenen bir hastaliktir. Vucut kompozisyonu calismalari obezite tedavisi takibinde kullanilmaktadir. Vucut kitle indeksi (VKI) ile hepatosteatozis (HS) arasindaki iliski iyi bilinmektedir. Calismamizda vucut kompozisyon parametrelerinin (VKP) hepatosteatoz teshisindeki etkinliginin dual bioimpedans analizor (BIA) kullanilarak arastirilmasi amaclanmistir. Yontemler: NYKH tanisi almis 253 hasta calismaya dahil edildi. Yas, cinsiyet, ve VKI gibi demografik parametreler ve ultrasonografik hepatosteatoz verileri kaydedildi. Total yag kitlesi ve vucut yuzdesi, yagsiz vucut kitlesi, total vucut suyu gibi BCP dual bioimpedans analizor ile degerlendirildi. Bulgular: Hem VKI ve HS, hem de VKP ve HS arasinda istatistiksel olarak guclu korelasyon oldugu izlendi (p 0,05). Sonuc: Bulgularimiza gore, NAFLD hastaliginda BCP’nin kullaniminin tanisal degeri oldugu sonucuna varilabilir
PENGARUH PENILAIAN KINERJA DAN PENGALAMAN KERJA TERHADAP PENGEMBANGAN KARIR PADA PT BALI BIASA INDAH KOLEKSI KUTA - BALI

Suatu perusahaan penting untuk selalu mengembangkan karir bagi seluruh karyawannya, karena karyawan merupakan salah satu aset yang digunakan perusahaan untuk mencapai tujuan perusahaan yang telah ditetapkan sebelumnya. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penilaian kinerja dan pengalaman kerja terhadap pengembangan karir. PT Bali Biasa Indah Koleksi Kuta - Bali menjadi lokasi penelitian dengan jumlah responden sebanyak 52 orang karyawan. Teknik analisis data yang digunakan untuk menguji hipotesis adalah analisis regresi berganda. Hasil analisis dari penelitian ini menunjukkan bahwa penilaian kinerja dan pengalaman kerja berpengaruh positif signifikan terhadap pengembangan karir.
Speaking in piles: Paradigmatic annotation of French spoken corpus

This article describes a central part of the syntactic schemes that are currently used in the ongoing annotation of a French spoken corpus. Based on the Aix School grid analysis of spoken French, the notion of « pile » is introduced, allowing for an elegant description of various paradigmatic phenomena like disfluency, reformulation, apposition, instanciation, including question-answering and colon effect, and different types of coordination. Piles naturally complete dependency annotations by modeling non-functional relations between phrases.
Innovation of food production systems : product quality and consumer acceptance

he quality of food products, as perceived by consumers, is a main driving force behind today's innovations in the food industry. Product development represents large investments of companies both in money and human resources and has to be accomplished in a highly competitive market situation. Consequently, product innovation should be considered in this context. In order to be successful, all aspects of product development should be put into proportion in a balanced and structured way. Internationally there is a reversal from a supply chain into a demand-oriented chain. This book aims at bringing together the various aspects related to consumer-driven product innovation and to present an integrated view on how the development of new food products is to be placed in a chain-oriented approach. Centred around the issue of product quality from the perspective of the consumer, this book deals with such topics as: changes of consumer perception of product quality; a structured approach for product development based on quality function deployment; the use of new and improved existing technologies in food production, logistics and information technology; the role of regulation and legislation; and quality management and control systems such as HACCP and TQM.
Does Healthcare Moderate the Impact of Socioeconomic Status on Selfrated Health

Background: Empirical evidence is growing for the fact that societal conditions are major causes of differences in health across individuals and societies. A positive correlation between socioeconomic status and health outcomes is documented in countries with various welfare arrangements, level of social trust, and health policies. We investigated how the health gradient was affected by healthcare intervention. Methods: Self-reported data on health status after exposure to healthcare intervention was collected by means of a postal survey (2009) to all members of the Norwegian Breast Cancer Association. Response rate was 62 percent. 1666 women aged 40-69 was included in the analysis. In order to create a counterfactual framework, we used propensity score analysis to match each observation in the treatment sample with an observation in a non-treatment sample. The observations were classified into high and low socioeconomic status groups based on information on education and labor market affiliation. Results and conclusion: A social gradient in self-rated health was found. Experience of breast cancer and treatment was shown to have a moderating effect on the gradient. While high-status women on average reported a 0.63 points reduction in health after breast cancer treatment, the corresponding reduction for low status women was 0.32 points. These results lend some support to the hypothesis that individuals from lower status groups may benefit from healthcare more than others due to effects of information and support.
Evolutionary Topology Optimization of Continuum Structures: Methods and Applications

Preface 1 Introduction 1.1 Structural Optimization 1.2 Topology Optimization of Continuum Structures 1.3 ESO/BESO and the Layout of the Book References 2 Evolutionary Structural Optimization Method 2.1 Introduction 2.2 ESO Based on Stress Level 2.3 ESO for Stiffness or Displacement Optimization 2.4 Conclusion References 3 Bi-directional Evolutionary Structural OptimizationMethod 3.1 Introduction 3.2 Problem Statement and Sensitivity Number 3.3 Filter Scheme and Improved Sensitivity Number 3.4 Element Removal/Addition and Convergence Criterion 3.5 Basic BESO Procedure 3.6 Examples of BESO Starting from Initial Full Design 3.7 Examples of BESO Starting from Initial Guess Design 3.8 Example of a 3D Structure 3.9 Mesh-independence Studies 3.10 Conclusion References 4 BESO Utilizing Material Interpolation Scheme withPenalization 4.1 Introduction 4.2 Problem Statement and Material Interpolation Scheme 4.3 Sensitivity Analysis and Sensitivity Number 4.4 Examples 4.5 Conclusion References Appendix 4.1 5 Comparing BESO with Other Topology OptimizationMethods 5.1 Introduction 5.2 The SIMP Method 5.3 Comparing BESO with SIMP 5.4 Discussion on Zhou and Rozvany (2001) Example 5.5 Conclusion References 6 BESO for Extended Topology Optimization Problems 6.1 Introduction 6.2 Minimizing Structural Volume with a Displacement orCompliance Constraint 6.3 Stiffness Optimization with an Additional DisplacementConstraint 6.4 Stiffness Optimization of Structures with MultipleMaterials 6.5 Topology Optimization of Periodic Structures 6.6 Topology Optimization of Structures with Design-dependentGravity Load 6.7 Topology Optimization for Natural Frequency 6.8 Topology Optimization for Multiple Load Cases 6.9 BESO Based on von Mises Stress 6.10 Conclusion References 7 Topology Optimization of Nonlinear ContinuumStructures 7.1 Introduction 7.2 Objective Functions and Nonlinear Analysis 7.3 Sensitivity Analysis and Sensitivity Number for ForceControl 7.4 Sensitivity Analysis and Sensitivity Number for DisplacementControl 7.5 BESO Procedure for Nonlinear Structures 7.6 Examples of Nonlinear Structures under Force Control 7.7 Examples of Nonlinear Structures under DisplacementControl 7.8 Conclusion References 8 Optimal Design of Energy Absorption Structures 8.1 Introduction 8.2 Problem Statement for Optimization of Energy AbsorptionStructures 8.3 Sensitivity Number 8.4 Evolutionary Procedure for Removing and Adding Material 8.5 Numerical Examples and Discussions 8.6 Conclusion References 9 Practical Applications 9.1 Introduction 9.2 Akutagwa River Side Project in Japan 9.3 Florence New Station Project in Italy 9.4 Sagrada Familia Church in Spain 9.5 Pedestrian Bridge Project in Australia 9.6 Conclusion References 10 Computer Program BESO2D 10.1 Introduction 10.2 System Requirements and Program Installation 10.3 Windows Interface of BESO2D 10.4 Running BESO2D from Graphic User Interface 10.5 The Command Line Usage of BESO2D 10.6 Running BESO2D from the Command Line 10.7 Files Produced by BESO2D 10.8 Error messages Index