Miracle-dz/UniFAR-FTUs huggingface dataset:
The marketability of eco‐products in China's affluent cities

The size and complexity of China make the undertaking of research on the marketability of eco‐products in general a difficult task. However, it is assumed that cultural values significantly influence attitudes and behaviors. Therefore, this paper which uses a structural equation model, considers the extent to which Chinese people living in affluent cities in Southern China are found to have a low level of eco‐knowledge. It has identified that once the Chinese learn the hazards of eco‐unfriendly products to users and their family, they demonstrate a willingness to use greener products. The green consumption preferences also vary from product to product in China. Choosing the right eco‐product is the key to success. A case study related to the use of eco‐friendly insecticide has been used to demonstrate the marketability of eco‐products in China's affluent cities and is presented in this paper. The result may show a new horizon to green marketers.
Development of an Intelligent Pipeline Vandalism Detection and Reporting System

Leaks in pipelines due to vandalism have always been a great concern due to loss of life, the implied risks and its associated costs. This has become even more critical with hazardous fluids that pose risk to life and the environment. In view of this, leak-detection systems play an important role in safeguarding pipeline operation by helping operators to quickly identify and react to spills. This paper aims to develop and demonstrate the use of an Intelligent Pipeline Vandalism Detection and Reporting System (IPVDRS) in detecting possible vandalism of petroleum pipelines in our environments. The system was developed using Visual Basic.NET technology. The system was able to interpret the readings of the remote sensors on the pipeline, detects compromise and trigger an alarm, creating the GPS coordinates of the triggered sensor on a map.
Fault detection and diagnosis in engineering systems

Introduction to fault detection and diagnosis discrete linear systems random variables parameter estimation fundamentals analytical redundancy concepts parity equation implementation of residual generators design for structured residuals design for directional residuals residual generation for parametric faults robustness in residual generation statistical testing of residuals model identification for the diagnosis of additive faults diagnosing multiplicative faults by parameter estimation.
Anisotropic Modeling of Cardiac Mechanical Activation

Keywords: Cardiac electromechanics ; Active strain formulation ; Configurational forces ; Monodomain model ; Finite element method These Ecole polytechnique federale de Lausanne EPFL, n° 6120 (2014)Programme doctoral MathematiquesFaculte des sciences de baseInstitut de mathematiques des sciences computationnelles et ingenierieChaire de modelisation et calcul scientifiqueJury: Prof. V. Panaretos (president), Prof. A. Quarteroni, Prof. A. Sequeira (directeurs), Prof. R. Krause, Prof. F. Nobile, Prof. C. H. Rodrigues (rapporteurs) Public defense: 2014-2-27 Note: Co-supervision with: Instituto Superior Tecnico (IST) da Universidade [Tecnica] de Lisboa, Centro de Matematica e Aplicacoes, Doutoramento em Matematica Reference doi:10.5075/epfl-thesis-6120Print copy in library catalog Record created on 2014-02-24, modified on 2017-05-12
Design and Modeling of WDM Integrated Devices Based on Photonic Crystals

presented and analyzed using CMT and FDTD methods. It will be shown that when the phase-shift of the electromagnetic waves traveling between two adjacent PC coupled cavities is approximately equal to ( 1/2) , k   the best performance for the intersection can be achieved. In addition it will be shown that simultaneous crossing of ultra-short pulses is Optical communications systems are very important for all types of telecommunications and networks. They consists of a transmitter that encodes a message into an optical signal, a channel that carries the signal to its destination, and a receiver that reproduces the message from the received optical signal.This book presents up to date results on communication systems, along with the explanations of their relevance, from leading researchers in this field. Its chapters cover general concepts of optical and wireless optical communication systems, optical amplifiers and networks, optical multiplexing and demultiplexing for optical communication systems, and network traffic engineering. Recently, wavelength conversion and other enhanced signal processing functions are also considered in depth for optical communications systems. The researcher has also concentrated on wavelength conversion, switching, demultiplexing in the time domain and other enhanced functions for optical communications systems. This book is targeted at research, development and design engineers from the teams in manufacturing industry; academia and telecommunications service operators/ providers.
Automatic Generation of MAEC and STIX Standards for Android Malware Threat Intelligence

Due to the increasing number of malicious software (also known as malware), methods for sharing threat information are being studied by various organizations. The Malware Attribute Enumeration and Characterization (MAEC) format of malware is created by analysts, converted to Structured Threat Information Expression (STIX), and distributed by using Trusted Automated eXchange of Indicator Information (TAXII) protocol. Currently, when sharing malware analysis results, analysts have to manually input them into MAEC. Not many analysis results are shared publicly. In this paper, we propose an automated MAEC conversion technique for sharing analysis results of malicious Android applications. Upon continuous research and study of various static and dynamic analysis techniques of Android Applications, we developed a conversion tool by classifying parts that can be converted automatically through MAEC standard analysis, and parts that can be entered manually by analysts. Also using MAEC-to-STIX conversion, we have discovered that the MAEC file can be converted into STIX. Although other researches have been conducted on automatic conversion techniques of MAEC, they were limited to Windows and Linux only. In further verification of the conversion rate, we confirmed that analysts could improve the efficiency of analysis and establish a faster sharing system to cope with various Android malware using our proposed technique.
Fundamentals of Dependable Computing for Software Engineers

Fundamentals of Dependable Computing for Software Engineers presents the essential elements of computer system dependability. The book describes a comprehensive dependability-engineering process and explains the roles of software and software engineers in computer system dependability. Readers will learn: Why dependability matters What it means for a system to be dependable How to build a dependable software system How to assess whether a software system is adequately dependable The author focuses on the actions needed to reduce the rate of failure to an acceptable level, covering material essential for engineers developing systems with extreme consequences of failure, such as safety-critical systems, security-critical systems, and critical infrastructure systems. The text explores the systems engineering aspects of dependability and provides a framework for engineers to reason and make decisions about software and its dependability. It also offers a comprehensive approach to achieve software dependability and includes a bibliography of the most relevant literature. Emphasizing the software engineering elements of dependability, this book helps software and computer engineers in fields requiring ultra-high levels of dependability, such as avionics, medical devices, automotive electronics, weapon systems, and advanced information systems, construct software systems that are dependable and within budget and time constraints.
Side-by-side versus stent-in-stent bilateral stenting for malignant hilar biliary obstruction: a meta-analysis

Introduction Both side-by-side (SBS) and stent-in-stent (SIS) bilateral stenting have been used for patients with malignant hilar biliary obstruction (MHBO). However, it is unclear which technique is better. Aim This meta-analysis is conducted to investigate the clinical efficacy and safety of SBS and SIS bilateral stenting for patients with MHBO. Material and methods Relevant studies were searched in PubMed, Embase, Cochrane Library, Wanfang, VIP, and CINK databases. The timeline for the searches was from the establishment of the database to September 2021. The relative outcomes are pooled. Results A total of 7 studies fulfilled the inclusion criteria and entered into this meta-analysis. The pooled technical success rate was significant higher in the SIS group than that in the SBS group (p = 0.04). The pooled early complication rate was significantly lower in the SIS group than in the SBS group (p = 0.04). The pooled stent re-obstruction rate was significantly lower in the SBS group than in the SIS group (p = 0.04). The pooled stent patency duration was significantly longer in the SBS group than in the SIS group (p = 0.01). The pooled functional success rates (p = 0.79), total complication rates (p = 0.34), and overall survival duration (p = 0.27) were comparable between 2 groups. Egger test did not show any publication bias. Conclusions When comparing the SBS and SIS bilateral stenting for patients with MHBO, although SIS technique may have the superiorities of technical success and early complication rates, the longer stent patency was achieved by the SBS technique.
Magnetic Ion-Imprinted Beads for Cadmium Removal From Aqueous Solutions

In this study, magnetic ion-imprinted polymers were prepared that can be used for the selective removal of cadmium ions (Cd) from aqueous solutions in a batch system. N-methacryloyl-(L)cysteine (MAC) was chosen as the complexing monomer. The MAC monomer was complexed with Cd and the Cd-imprinted magnetic poly(hydroxyethyl methacrylate-N-methacryloyl-(L)-cysteine) (mag-MIP) beads were synthesized in the presence of Fe3O4 by suspension polymerization. The template ions (Cd) were removed by thiourea (0.5 % v/v) in 0.05 M HCl solution. The non-imprinted control beads (NIP) were prepared in the same conditions without using the template. The specific surface area of the mag-MIP beads was found to be 24.7 m/g with a size range of 63-140 μm in diameter. The swelling ratio of mag-MIP beads was 70%. According to the elemental analysis results, the mag-MIP beads contained 41.8 μmol MAC/g polymer. The maximum adsorption capacity was 28.45 μmol Cd/g polymer. The relative selectivity coefficients of mag-MIP beads for Cd/Pb, Cd/Zn were 28.65 and 117.5 times greater than the non-imprinted (NIP) matrix, respectively. The mag-MIP beads could be used many times without decreasing in their adsorption capacities significantly.
Ischemic stroke with a preceding Trans ischemic attack(TIA) less than 24 hours: Predicting clinical risk factors for thrombolytic therapy

Background Acute ischemic stroke attack with and without a recent TIA within or less than 24 hours may differ in clinical risk factors, and this may affect treatment outcomes following thrombolytic therapy. We examined whether the odds of exclusion or inclusion for thrombolytic therapy are greater in ischemic stroke with TIA less than 24 hours preceding ischemic stroke(TIA-24hr-ischemic stroke patients) as compared to those without recent TIA or non-TIA <24 hours.Methods A retrospective hospital-based analysis was conducted on 6,315 ischemic stroke patients, of whom 846 had proven brain diffusion-weighted magnetic resonance imaging (DW-MRI) of an antecedent TIA within 24 hours prior to ischemic stroke. The logistic regression model was developed to generate odds ratios (OR) to determine clinical factors that may increase the likelihood of exclusion or inclusion for thrombolytic therapy. The validity of the model was tested using a Hosmer-Lemeshow test, while the Receiver Operating Curve (ROC) was used to test the sensitivity of our model.Results In TIA-24hr-ischemic stroke population, patients with a history of alcohol abuse (OR = 5.525, 95% CI, 1.003-30.434, p = 0.05), migraine (OR=4.277, 95% CI, 1.095-16.703, p=0.037), and increasing NIHSS score (OR=1.156, 95% CI, 1.058-1.263, p = 0.001) were associated with the increasing odds of receiving rtPA, while older patients (OR = 0.965, 95% CI, 0.934‐0.997, P = 0.033) were associated with the increasing odds of not receiving rtPA.Conclusion In TIA-24hr-ischemic stroke patients, older patients with higher INR values are associated with increasing odds of exclusion from thrombolytic therapy. Our findings demonstrate clinical risks factors that can be targeted to improve the use and eligibility for rtPA in in TIA-24hr-ischemic stroke patients.
Lineage does not regulate the connectivity of projection neurons in the mouse olfactory bulb

Lineage regulates the synaptic connections between neurons in some regions of the invertebrate nervous system. In mammals recent experiments suggest that cell lineage determines the connectivity of pyramidal neurons in the neocortex, but the functional relevance of this phenomenon and whether it occurs in other neuronal types remains controversial. We investigated whether lineage plays a role in the connectivity of mitral and tufted cells, the projection neurons in the mouse olfactory bulb. We used transgenic mice to label neuronal progenitors sparsely and observed that clonally related neurons receive synaptic input from olfactory sensory neurons expressing different olfactory receptors. These results indicate that lineage does not determine the connectivity between olfactory sensory neurons and olfactory bulb projection neurons.
Engineering uses of physics-based ground motion simulations

This paper summarizes validation methodologies focused on enabling ground motion simulations to be used with confidence in engineering applications such as seismic hazard analysis and dynamic analysis of structural and geotechnical systems. Numerical simulation of ground motion from large earthquakes, utilizing physics-based models of earthquake rupture and wave propagation, is an area of active research in the earth science community. Refinement and validation of these models require collaboration between earthquake scientists and engineering users, and testing/rating methodologies for simulated ground motions to be used with confidence in engineering applications. This paper provides an introduction to this field and an overview of current research activities being coordinated by the Southern California Earthquake Center (SCEC). These activities are related both to advancing the science and computational infrastructure needed to produce ground motion simulations, as well as to engineering validation procedures. Current research areas and anticipated future achievements are also discussed.
Extremal Coalitions for Influence Games Through Swarm Intelligence-Based Methods

: An influence game is a simple game represented over an influence graph (i.e., a labeled, weighted graph) on which the influence spread phenomenon is exerted. Influence games allow applying different properties and parameters coming from cooperative game theory to the contexts of social network analysis, decision-systems, voting systems, and collective behavior. The exact calculation of several of these properties and parameters is computationally hard, even for a small number of players. Two examples of these parameters are the length and the width of a game. The length of a game is the size of its smaller winning coalition, while the width of a game is the size of its larger losing coalition. Both parameters are relevant to know the levels of difficulty in reaching agreements in collective decision-making systems. Despite the above, new bio-inspired metaheuristic algorithms have recently been developed to solve the NP-hard influence maximization problem in an efficient and approximate way, being able to find small winning coalitions that maximize the influence spread within an influence graph. In this article, we apply some variations of this solution to find extreme winning and losing coalitions, and thus efficient approximate solutions for the length and the width of influence games. As a case study, we consider two real social networks, one formed by the 58 members of the European Union Council under nice voting rules, and the other formed by the 705 members of the European Parliament, connected by political affinity. Results are promising and show that it is feasible to generate approximate solutions for the length and width parameters of influence games, in reduced solving time.
Discovering the hidden knowledge in transaction data through formal concept analysis.

The aim of this research is to discover if hitherto hidden knowledge exists in transaction data and how it can be exposed through the application of Formal Concept Analysis (FCA). Enterprise systems capture data in a transaction structure so that they can provide information that seeks to align with the knowledge that decision-makers use to achieve business goals. With the emergence of service-oriented architecture and developments in business intelligence, data in its own right is becoming significant, suggesting that data in itself may be capable of capturing human behaviour and offerer novel insights from a `bottom-up' perspective. The constraints of hard-coded top-down analysis can thus be addressed by agile systems that use components based on the discovery of the hidden knowledge in the transaction data. There is a need to connect the user's human-oriented approach to problem solving with the formal structures that computer applications need to bring their productivity to bear. FCA offers a natural approach that meets these requirements as it provides a mathematical theory based on concepts, logical relationships that can be represented and understood by humans. By taking an action research and case study approach an experimental environment was designed along two avenues. The first was a study in an educational setting that would combine the generation of the data with the behaviour of the users (students) at the time, thereby capturing their actions as reflected in the transaction data. To create a representative environment, the students used an industry standard SAP enterprise system with the business simulator ERPsim. This applied study provided an evaluation of FCA and contemporary tools while maintaining a relevant pedagogic outcome for the students. The second avenue was a discovery experiment based on user activity logs from an actual organisations productive system, applying and developing the methods applied previously. Analysis of user logs from this system using FCA revealed the hitherto hidden knowledge in its transaction data by discovering patterns and relationships made visible through the multi dimensional representation of data. The evidence gathered by this research supports FCA for exposing and discovering hidden knowledge from transactional data, it can contribute towards systems and humans working together more effectively.
How User Experience Changes over Time: A Case Study of Social Network Services

While interacting with a product or a service, people have diverse experiences, which constitute user experience (UX). In this study, the hierarchical dimensions of UX were considered, including overall UX, its elements (usability, affect, and user value) and their subelements. To determine how UX changes over time, the temporal changes of the influence of each element and subelement were analyzed. Twenty subjects participated in a longitudinal experiment by using a social network service (SNS). The most important element of UX changed from usability to user value after one week of use. These results suggest that adoption of an SNS occurs in two phases: a phase of affected by usability and a phase affected by user value. Identification of these phases and the systematic approach used in the study are expected to contribute to design and evaluation of new SNSs and other products and services.
Modeling Permanent Magnet Synchronous Motor System in Electrical Automation Engineering Based on Adaptive Neuro-Fuzzy Inference System

This paper proposes a novel modeling method for permanent magnet synchronous motor (PMSM) system in electrical automation engineering based on adaptive network based fuzzy inference system (ANFIS). Meanwhile the microhabitat particle swarm optimization (MPSO) was used for training the parameters of ANFIS. The proposed modeling method for PMSM system can help in speed and position control. The proposed ANFIS and MPSO based modeling method has been successfully applied to PMSM control system.
ANALISIS PERBANDINGAN WEBOMETRICS RANGKING UNIVERSITAS NEGERI DAN SWASTA DI INDONESIADENGAN PERANGKINGAN METODE PROMETHEE DAN VIKOR

ANALISIS PERBANDINGAN WEBOMETRICS RANGKING UNIVERSITAS NEGERI DAN SWASTA DI INDONESIA DENGAN PERANGKINGAN METODE PROMETHEE DAN VIKOR Oleh : Anandita Bagus Wicaksono 07520244048 ABSTRAK Penelitian ini dilakukan untuk mengetahui perbandingan peringkat antara perangkingan website akademik di Indonesia dengan menggunakan metode promethee dan vikor dengan hasil perangkingan webometrics. Penelitian ini menggunakan 2 instrumen yaitu search engine google dan web crawler socscibot. Objek penelitian ini adalah 10 peringkat teratas website akademik univeristas negeri di Indonesia dan 10 peringkat teratas website akademik swasta di Indonesia menurut perangkingan webometrics yang rilis bulan juli 2011. Kedua puluh website akademik tersebut dilakukan pengambilan data menggunakan web crawler socscibot dan search engine google untuk mengetahui visibility, size, rich files, dan scholar. Setelah data diperoleh kemudian dilakukan perhitungan untuk memperoleh hasil perangkingan dengan metode promethee dan vikor. Hasil perangkingan kemudian dibandingkan dengan perangkingan webometrics yang rilis bulan januari 2012 dengan menggunakan uji spearman dan uji friedman untuk dilakukan uji hipotesis. Berdasarkan hasil (1) uji spearman perangkingan metode promethee dengan perangkingan metode vikor adalah signifikan sama, terbukti dengan nilai rs hitung yang bernilai 0,9008 dimana bernilai lebih besar dari taraf signifikansi 5 % yang seharusnya 0,3805. (2) Uji spearman perangkingan metode webometrics dengan perangkingan metode promethee adalah signifikan berbeda, terbukti dengan nilai rs hitung yang bernilai -0,1444 dimana bernilai kurang dari taraf signifikansi 5 % yang seharusnya bernilai 0,3805. (3) Uji spearman perangkingan metode webometrics dengan perangkingan metode vikor adalah signifikan berbeda, terbukti dengan nilai rs hitung yang bernilai -0,2797 dimana bernilai kurang dari taraf signifikansi 5 % yang seharusnya bernilai 0,3805. (4) Uji friedman perangkingan menggunakan metode promethee, vikor dan webometrics adalah signifikan sama, terbukti dengan nilai F hitung yang bernilai 0,225, dimana bernilai kurang dari taraf signifikansi 5 % dan derajat kebebasan 2 yang seharusnya bernilai 6,300. Kata kunci : metode promethee, metode vikor, uji friedman, uji spearman, webometrics, website