Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonparametric predictive inference for failure times of systems with exchangeable components

The theory of system signatures (Samaniego, 2007) provides a powerful framework for reliability assessment for systems consisting of exchangeable components. For a system with m components, the signature is a vector containing the probabilities for the events that the system fails at the moment of the jth ordered component failure time, for all j = 1,…, m. As such, the signature represents the structure of the system. This paper presents how signatures can be used within nonparametric predictive inference, a statistical framework which uses few modelling assumptions enabled by the use of lower and upper probabilities to quantify uncertainty. The main result is the use of signatures to derive lower and upper survival functions for the failure time of systems with exchangeable components, given failure times of tested components that are exchangeable with those in the system. In addition, it is shown how the failure times of two such systems can be compared. This paper is the first in which signatures are combined with theory of lower and upper probabilities; related research challenges are briefly discussed.
A pedagogy of abundance or a pedagogy to support human beings? Participant support on massive open online courses

This paper examines how emergent technologies could influence the design of learning environments. It will pay particular attention to the roles of educators and learners in creating networked learning experiences on massive open online courses (MOOCs). The research shows that it is possible to move from a pedagogy of abundance to a pedagogy that supports human beings in their learning through the active creation of resources and learning places by both learners and course facilitators. This pedagogy is based on the building of connections, collaborations, and the exchange of resources between people, the building of a community of learners, and the harnessing of information flows on networks. This resonates with the notion of emergent learning as learning in which actors and system co-evolve within a MOOC and where the level of presence of actors on the MOOC influences learning outcomes.
Interactive comment on “Short Communication: Humans and the missing C-sink: erosion and burial of soil carbon through time”

I only would like a more profound presentation and discussion of the effects of soil erosion on vegetation and their possibilities to sequester carbon. Mediterranean landscapes show how soil erosion has wasted most soil (and consequently the previous C content has been stored in alluvial plains, alluvial fans and sea sediment), but plant recovery is very slow and never reaches the volume than before the period of soil erosion. Could the authors explain how this problem affects the carbon cycle in the short and the long term?
OLLI PEKKALIN INDOOR DEAD RECKONING SYSTEM

TAMPERE UNIVERSITY OF TECHNOLOGY Master's Degree Programme in Signal Processing and Communications Engineering OLLI PEKKALIN : Indoor Dead Reckoning System Master of Science Thesis, 53 pages, 0 Appendix pages December 2013 Major: Design of Electronic Circuits and Systems Examiners: Prof. Jukka Vanhala and Prof. Jarmo Takala
Combining Causal Model and Focus Group Discussions Experiences Learned from a Socio-Anthropological Research on the Differing Perceptions of Caretakers and Health Professionals on Children's Health (Bolivia/Peru)

The paper discusses the utility of constructing causal models in focus groups. This was experienced as a complement to an in-depth ethnographic research on the differing perceptions of caretakers and health professionals on child’s growth and development in Peru and Bolivia. The rational, advantages, difficulties and necessary adaptations of combining the two techniques are discussed on the basis of concrete examples. Authors conclude that the building of a causal model in a focus group session can be useful in comparing lay etiologies of diseases as perceived by different categories of caretakers and health professionals and in identifying specific health risks faced by children. Causal model building in a focus group can help renew discussions and participants’ interest but its use is only justified when the study concerns the perception of the causality of a given
The Analysis of E-service Quality, Customer Trust, Perceived Value, and Behavioral Intention on Online Transportation in Surabaya

The current number of motor vehicles in Indonesia increased very rapidly and impacted the traffic jam. Therefore, it was expected that with the increasing use of public transportation can reduce congestionproblems. Competition in the transportation industry is gotten competitive, so there is an innovation withmobile applications. But to make consumers want to use online transportation applications, companies mustunderstand about consumer behavior. Measurement of behavioral intention is the best way to predictconsumer buying behavior in the future. In this study, we wanted to know the factors that affect thebehavioral intention of online transportation consumers in Surabaya. This research used causal quantitativeresearch method. Based on the results of research conducted on 240 respondents found that e-service quality,trust and perceived value correlated significantly and positively to behavior intention. E-service quality is themost influential factor in building behavior intention compared to the other two factors.
Isolation and screening of different isolates of Aspergillus for amylases production

The diversity of Aspergillus from soil of Kusmi Forest, an Indian subtropical Teak forest at Gorakhpur resulted in characterizing a total of 415 isolates which were then subjected to amylases production. The preliminary amylases production revealed a total of 14 promising isolates of Aspergillus comprising of ten different strains of A. flavus, two strains of A. tamarii, one strain each of A. niger and A. awamori which are characterized further. The optimum temperature of amylases produced from 14 isolates ranged from 30 to 60 C while thermal stability observed was in the range of 50 to 80 C for 30 minutes. The pH optima ranged from 5.0 to 8.6 and the Km values calculated ranged from 0.60 to 2.85 mg/ml.
Compact 3-D Multilayer Substrate Integrated Circular and Elliptic Cavities ( SICCs and SIECs ) Dual-mode Filter with High Selectivity

─ In this paper a multilayer dual-mode complementary filter is developed based on the substrate integrated circular and elliptic cavity (SICC and SIEC). The filter is constructed with a SICC and double SIECs, and each cavity supports two degenerate modes, which can be generated and controlled by the coupling aperture and the slot located between layers. With multilayer topology, the structures can exhibit vertical coupling between vertically stacked dual-mode cavities. It does not only have the good performance, but also reduces the circuit size much more. Moreover, sharp transition characteristic in both the lower side and the upper side demonstrates high selectivity of the filter. Good agreement is obtained between the simulated and measured results of the proposed structure. Index Terms ─ Dual-mode filter, elliptic cavity, high selectivity, multilayer, substrate integrated circular cavity (SICC), and transmission zeros (TZs).
Reconstructing an Ellipsoid from its Limbs' Projections

In this paper it is shown thatthe projectionofan ellipsoid's limb in a direction perpendicular to a principal plane is an ellipse in that plane. Then a method for reconstructing an ellipsoid from three projections of its limbs on the three principal planes is introduced. This supports the work of reconstructing a shape from its projections, views, or images which is of special interest in appli- cationareaslikepatternrecognition,computervision, andmedicalimaging.
Barriers and strategies in Implementing Clinical Decision Support System in Hospitals: A Case Study in Iran

Introduction: Most modern medical issues are inherently complicated and accurate decisions are not always likely to be made based on logical reasons. Furthermore, the huge volume of information relevant to a simple diagnostic area makes this decision making even more troublesome. Hence, with the advent of technology, there is an ever increasing need for the Clinical Decision Support System (CDSS) in hospitals. This study has been conducted in an Iranian hospital with the aim of identifying the most significant barriers for implementing CDSS and suggesting appropriate strategies to remove them. Methods: This qualitative cross-sectional study was conducted in 2015. The sample population of the study included 180 physicians and nurses in Shahid Mohammadi hospital in Bandar Abbas whose performance was changed using CDSS. The participants were selected using stratified sampling from 23 different wards in the hospital. First, the barriers and strategies for implementation of CDSS in other countries were extracted from a review study which was used to make a preliminary model. Then, the results of a questionnaire and Delphi tests in three rounds were included in the final model. Results: The most significant barriers in implementing CDSS were categorized into 6 groups according to the participants. These include barriers from human resources and infrastructures as well as financial, technical, environmental and legal ones. The barriers for them were divided into 5 categories including structural, technical, financial, human and environmental ones. Conclusion: Since the most significant obstacle in implementing CDSS in this hospital was from humans, the hospital can use the barriers provided in 5 categories and better benefit from the system. These barriers are training the human resources before they start working, engaging them in implementation process of the CDSS and using evidence-based scientific databases in CDSS while removing fundamental barriers to the system.
The persistence of gender inequality in Zimbabwe: factors that impede the advancement of women into leadership positions in primary schools

We investigated and analysed the factors that women teachers consider as barriers to their advancement to headship positions in Zimbabwean primary schools. Specifically, we sought to identify the factors perceived by women school heads to be causes of persistent under-representation of women in school headship positions. Data were collected through structured face-to-face interviews and focus group discussions with 13 experienced women school heads. The findings revealed that although the majority of the women teachers in the study sample were qualified for promotion to school headship positions, they had not attempted to apply for them. The majority of the women teachers in the study sample were adequately qualified for promotion to school headship positions. Indeed, a large number of them either had a university degree or were pursuing degree studies and also had extensive experience. But most of them had not attempted to apply for school headship and hence were still class teachers. Gender stereotypes were shown to be one of the major causes of persistent under-representation of women in primary school headship. The influence of gender role stereotypes was found to manifest in the form of low self esteem; lack of confidence; women's perception that their role in the family overrides all other roles; and lack of support from the home and the workplace.
Speed Control of Brushless DC Motor: A Review

(10) Abstract: This paper gives the review of the Brushless DC motor and the speed control method for it. Brushless DC Motor (BLDC) is one of the best electrical drives that have increasing popularity due to their high efficiency, reliability, good dynamic response, and very low maintenance. Due to these advantages, the BLDC motors are recently used in Automobile, HVAC, CNC-machines and domestic appliance. It is electronically commuted motor. The operation of the BLDC motor control is based on the rotor position sensing method. For the rotor position sensing used mainly two strategy, sensor and sensor less scheme. This paper gives idea about various sensing methods, control for BLDC motors and recent research trend in BLDC motor.
Genetic Diversity of Four Pig Breeds in Thailand Based on Microsatellite Analysis

Fourteen microsatellite loci were analyzed in 79 random individuals to characterize the genetic variability of Thai native pig breed (TN), Large White (LW), Spotted Large White (SLW), and Pietrain (PT). Mean numbers of allele per locus, mean numbers of shared allele per locus and average gene diversity per locus were 8.86, 1.86 and 0.7875, respectively. Polymorphism information content (PIC), observed and expected heterozygosity of TN (0.7555, 0.5335 and 0.7925) were higher than the values in LW (0.5468, 0.5571 and 0.6707), SLW (0.5300, 0.5800 and 0.6492) and PT (0.4874, 0.4545 and 0.5986). Base on Nei’ standard genetic distance and phylogenetic tree constructed using Nei’ standard genetic distance matrix, there were a great genetic differentiation between TN and the other three breeds.
How and Why Strategy Instruction Can Improve Second Language Reading Comprehension: A Review.

Increasingly, children enter the school system with a home language that differs from the language of the majority. Consequently, classrooms have students with diverse language backgrounds and teachers must develop reading comprehension instruction that meets the needs of all their students. To successfully plan instruction, it is critical for teachers to understand the strengths that second language learners (SLLs) bring to the classroom as well as the potential difficulties they face. Here we review the literature on reading comprehension development and utilize cognitive frameworks to describe the knowledge, skills, and processes involved during reading for meaning. We use these theories to explain why SLLs may have difficulty with reading comprehension and how we might leverage their strengths in domains such as executive control to support their reading comprehension development. We further highlight for educators how strategy instruction aligns directly with cognitive theories of reading comprehension. Ideally, such examples will enable educators to explicitly articulate for their students how effective strategies enable the development of comprehensive mental representations of the text, and ultimately enable good text comprehension.
Interactive multiplatform software to mitigate arachnophobia through augmented reality

Abstract: Augmented Reality (RA) is a technology that mixes physical reality with virtual elements, resulting in mixed reality in real time. He is currently widely accepted for his ease of adaptation in human activities. Superimposing data and digital information in a real environment for educational, commercial, social, therapeutic, industrial, among others. The objective of this research is to develop an interactive software to mitigate arachnophobia by using the engine and graphic editor of Unity Games, focusing on augmented reality. In this project the agile scrum methodology was used. Because it is based on incremental development. Enabling application requirements and development to be flexible for patients and developers. Obtained as a result of a sample of 16 people, that 93.19% improved equal or greater than 50% in their level of anxiety and fear according to their score obtained in the test FSQ after using the proposed application. While 6.81% obtained a percentage lower than 50% because the use of the application was carried out in times less than 20 minutes per day, causing no significant changes.
A Novel feature extraction for anomaly detection of roller bearings based on performance improved Ensemble Empirical Mode Decomposition and Teager-Kaiser Energy Operator

Although Ensemble empirical mode decomposition (EEMD) method has been successfully applied to various applications, features extracted using EEMD could not detect anomalies for roller bearings, especially when anomalies includes small defects. In this study a novel feature extraction method is proposed to detect the state of roller bearings. Performance improved EEMD, which is a reliable adaptive method to calculate an appropriate noise amplitude is applied to decompose the acceleration signals into zer0-mean components called intrinsic mode functions (IMFs). Then, three dimensional feature vectors are created by applying the Teager-Kaiser energy operator (TKEO) to the first three IMFs. The novel features obtained from the healthy bearing signals are utilized to construct the separating hyperplane using one-class support vector machine (SVM). In order to validate the method proposed, a number of operating conditions (shaft speed and load) are considered to generate the data (vibration signals) by means of an assembled test rig. It is shown that the proposed method can successfully identify the states of the new samples (healthy and faulty). The uncertainty of the model prediction is investigated computing Margin and the number of support vectors. It create less complex (less fraction of support vectors) and more reliable (higher Margin) hyperplane than the EEMD method.
Americas Conference on Information Systems ( AMCIS ) 2000 Information Systems as Buzz

Many scholars view the admittedly common tendency toward the coinage and use of “buzzwords” as regrettable and problematic for the information systems (IS) field. Here I suggest instead that the continuing “buzz” associated with IS signals not the field’s muddleheadedness, but rather its vitality and force as reflected in an ongoing cascade of technology-driven organizational innovations. Some buzzwords represent what has been termed organizing visions for information systems. Organizing visions arise to facilitate the development and diffusion of IS innovations across firms and industries. While their buzz is therefore important, their history nevertheless also presents us with a history of fuzzy IS types, with implications for research and practice alike.
Nutrient Interception by a Riparian Forest Buffer Strip from Adjacent Orchard near Reservoir: Two Case Studies in Taiwan

Summary Two case studies, including Techi reservoir located at Taichung county, central Taiwan, and Feitsui reservoir located at Taipei county, northern Taiwan, were selected to study the effect of nutrient interception by a riparian forest buffer strip receiving the adjacent orchard region by applying the high and low quantity of chemical fertilizers, respectively. The widths of riparian forest buffer strip are at least 50 meters in these two case study sites. The composition, spatial variability and seasonal changes of cations and anions in soil solution collecting from orchard, interface and riparian buffer zones were analyzed to control the water quality in two water reservoirs. The results indicated that the soil nutrients in the orchard near Techi reservoir, especially for the ions of phosphate, K, Ca, Mg, and ammonium-N, can be significantly intercepted by a forest buffer strip within 30 meters. Owing to no any application of chemical fertilizers in the orchard near Feitsui reservoir since 1987, the nutrient concentration of different ions in soil solution is very low. This low concentration of ions in soil solution released from orchard region near Feitsui reservoir can be intercepted in the interface area between the orchard region and forest buffer strip. The results also indicate that the width of riparian buffer strip needs at least 10 meters to intercept the soluble nutrients under this very low input of chemical fertilizers. We make sure that enough width, at least 30 meters of riparian buffer strips for these two case studies, can be regarded as a nutrient sink to intercept the soil nutrients soluble from orchard region and keep good water quality in the reservoirs.
LOW POWER HARDWARE CHIP IMPLEMENTATION OF TACIT SECURITY ALGORITHM IN TELECOMMUNICATION NETWORKS USING HDL ENVIRONMENT

In cryptography, encryption is the process of transforming information (referred to as plaintext) using an algorithm (called a cipher) to make it unreadable to anyone except those possessing special knowledge, usually referred to as a key. The result of the process is encrypted information (in cryptography, referred to as cipher text). The reverse process, i.e., to make the encrypted information readable again, is referred to as decryption (i.e., to make it unencrypted). Encryption is also used to protect data in transit, for example data being transferred via networks (e.g. the Internet, e-commerce), mobile telephones, wireless microphones, wireless intercom systems, Bluetooth devices and bank automatic teller machines. There have been numerous reports of data in transit being intercepted in recent years. Encrypting data in transit also helps to secure it as it is often difficult to physically secure all access to networks. In this paper we have introduced a new block cipher cryptographic symmetric key algorithm named “TACIT Encryption Technique” which has a unique independent approach by using some suitable mathematical logic along with a new key distribution system which is being applied on a secure policy based routing. Speed and size are two important factors while designing the electronic system. It’s Speed of operation and flexibility to modify, measures the performance of the system operation. Systems based on microprocessor/microcontroller (MPMC) can handle sequential operations with high flexibility and use of Complex Programmable Devices (CPLD) can handle concurrent operations with high speed in small size area. So combined features of both these systems can enhance the performance of the system by exploiting modern features in Field Programmable Gate Arrays (FPGA), which allow the modeling of encryption and decryption algorithm on System-on-Programmable-Chip (SOPC). Journal of Electronics and Communication Engineering & Technology (JECE ) ISSN XXX-XXX (Print) ISSN XXX-XXX (Online) Volume 1, Issue 1, July-December (2013), pp. 33-45 © IAEME: http://www.iaeme. com/JECET.asp JECET
Intelligent Software Agents: Security Issues of a New Technology

INTRODUCTION To obtain maximum benefit from the increasingly widespread use of the Internet in today’s information-oriented society, powerful tools are required for gathering and preparation of information. Intelligent agents, which have emerged in recent years, provide a successful technological approach to information handling. Intelligent agents are becoming increasingly important because of their flexibility and power for cooperative working in solving complex tasks. Usually such an approach requires agents which have the capability for extensive cooperation and communication among themselves. This raises the question of security. But, up to now, little work has been done which addresses the security issues associated with intelligent agents. For a new technology, such as that offered by intelligent agents, to be successful and widely accepted, it is necessary for systems, based on that technology, to be capable of maintaining security and consistency of operation when integrated into the existing infrastructure of an organisation. This paper explores some of the security issues relating to application of intelligent agents and the integration of such systems into existing organisations. First, existing information security issues for enterprises are considered. Then, a short introduction to the new technology of agents and agent systems is given. Following this, the special security problems of the new technology of software agents and the emerging risks for software and enterprises are discussed. Finally, a new security architecture for multiagent systems is proposed, together with an explanation of how this multilevel architecture