Miracle-dz/UniFAR-FTUs huggingface dataset:
ON USING QUASI-RANDOM LATTICES FOR SIMULATION OF ISOTROPIC MATERIALS

Elastic properties of three-dimensional lattices are usually anisotropic. This fact limits the range of applicability of lattice models in solid mechanics problems. In the present paper, we propose a simple three-dimensional lattice model with isotropic elastic properties. A quasi-random lattice is generated by randomly displacing particles of the face-centered cubic lattice. Then particles are connected by linear and angular springs such that initially forces in all springs are equal to zero. It is shown numerically that the resulting quasi-random lattice has isotropic elastic properties, provided that amplitudes of random displacements are sufficiently large. Poisson’s ratio of the lattice depends on number of angular springs per particle and stiffnesses of these springs. In the present model, values of Poisson’s ratio belong to the interval [0;0.41]. The model can be used, in particular, for simulation of deformation and brittle fracture of rocks in hydraulic fracturing.
Mood and the False Memory Effect

TheDeese-Roediger-McDermott paradigm lures people to produce false memories. Two experiments examined whether induced positive or negative moods would influence this false memory effect. The affect-as-information hypothesis predicts that, on the one hand, positive affective cues experienced as task-relevant feedback encourage relational processing during encoding, which should enhance false memory effects. On the other hand, negative affective cues are hypothesized to encourage item-specific processing at encoding, which should discourage such effects. The results of Experiment 1 are consistent with these predictions: Individuals in negative moods were significantly less likely to show false memory effects than those in positive moods or those whose mood was not manipulated. Experiment 2 introduced inclusion instructions to investigate whether moods had their effects at encoding or retrieval. The results replicated the false memory finding of Experiment 1 and provide evidence that moods influence the accessibility of lures at encoding, rather than influencing monitoring at retrieval of whether lures were actually presented. Affect can sometimes enhance and sometimes impair performance and memory (Gray, 2001; Gray, Braver, & Raichle, 2002; Packard, Cahill, & McGaugh, 1994). For instance, although extreme emotional stress can impair memory (Packard et al., 1994; see also McIntyre, Power, Roozendaal, & McGaugh, 2003), McGaugh and his colleagues (Packard et al., 1994; McIntyre et al., 2003) have shown that moderate emotional stress improves learning how to navigate a maze using place cues. Similarly, Gray (2001) found that negative moods enhanced performance on spatial tasks, but impaired performance on verbal tasks. Conversely, he found that positive moods can enhance performance on verbal tasks, but impair performance on spatial tasks. These effects for positive mood are consistent with those of Isen and her colleagues showing that positive moods enhance creativity on verbal association tasks (Isen, 1987). The goal of the research we report here was to investigate how affective states might influence false memory effects using the highly popular Deese-Roediger-McDermott (DRM) paradigm.
Lethal Repression of Peaceful Protest in Africa. Why Do (non-) Accountable and Military Regimes Shoot

Repression and protest are interdependent, autoregressive phenomena that depend on a wide range of third variables. Being aware of the complexity of the subject matter, this study uses a subtle research design, focusing on the onset of lethal repression of peaceful protesters in Africa. The author seeks to depict why governments start to kill protesters. Therefore, countries that have a record of state terror, i.e. routinely murder and torture their citizens, are excluded from the analysis. An actor-centered framework predicts repression of peaceful protest events at a certain point in time, using multivariate logistic regression of discrete event data. This estimation technique allows to control for standard errors that are correlated over time. It grasps the correct sequencing of repression and protest, easing the chicken-and-egg dilemma (endogeneity). Most importantly, it accounts for repression of previous protest events in t-1 that has an influence on repression in t. Two findings stick out. Regimes that equip military officials with prominent positions in the government are prone to initiate lethal repression (Hypothesis 2). Secondly, vertical accountability (akin to democratic responsiveness), lowers the likelihood of repression. “The people” can hold their leaders accountable via elections or via more indirect means, such as the free articulation of interests and the political competition of ideas. Surprisingly, only well-developed mass participation and representation of diverse interests in the political sphere lower the likelihood of repression (Hypothesis 5). Neither elections nor institutionalized veto players (vertical accountability) seem to have a consistent impact on repression.
CYCLIC LOADING TEST ON HIGH DAMPING RUBBER BEARING (HDRB) ISOLATORS IN COMBINATION WITH FE-BASED SMA DAMPERS

Seismic base isolations have been developed and used in buildings and bridges as a technique to control their seismic behavior under severe ground motion. Various types of bridge and building isolators have been developed, tested and are in used all over the world as a means of effective earthquake resisting systems. In order to dissipate seismic energy at isolators level, many designers are used hysteretic dampers in combination with isolation systems (Hedayati Dezfuli & Alam, 2017). However, due to residual displacement at base level in this combination, the operating service of structure is interrupted after earthquake. One appropriate solution for this problem is application of shape memory alloy as hysteretic metal in damper. Shape memory alloy is a novel functional material which can be recovered after unloading or upon heating (Song et al., 2006). Due to high cost of Nitinol (as most common types of these smart materials), most of recent researches have been concentrated on finding different types of SMAs with the same quality and lower price (Cladera, 2014). One type of iron-based SMA has been manufactured in Civil Engineering Department of Amirkabir University of technology with good super elasticity effect, shape recovery and lower cost (see Figure 1). In other respect, one high damping rubber bearing (HDRB) seismic isolator was manufactured by separated team using local feasibility in AUT (see Figure 2).
Maq Asid Al-Shari‘Ah Index for Islamic Banking Institutions

The main aim of the study is to provide an index for the Islamic banking industry through which the performance of the Islamic banks can be gauged on the maq asid al-Sharı‘ah. Accordingly,we suggest an index for the Islamic banking industry based on the maq asid al-Sharı‘ah through which the Islamic banks’ performance can be appraised from the maq asid al-Sharı‘ah perspective. The index incorporates quantitative and qualitative information of the Islamic banks and assigns the ratings accordingly. We also applied the criteria to 5 Islamic banks in Pakistan and computed their maq asid al-Sharı‘ah index using detailed information. The index is used to have a relative evaluation of the Islamic banks regarding their advancement towards achieving the maq asid al-Sharı‘ah. To construct an index, we evaluate the Islamic banking services by the four maq asid namely h.ifzal-mal, h.ifz. al-ıman, h.ifz. al-‘aql, and h.ifzal-nafs. Using the quantitative and qualitative information, the index shows each bank’s rating. The paper finds that the banks with more prudent practices regarding the financial performance and Sharı‘ah compliance fullfil the maq asid al-Sharı‘ah in a better manner and accordingly get a higher index ranking. The stakeholders of the Islamic banking would prefer to have the industry evaluated as per maq asid al-Sharı‘ah. This study has directly related the Islamic banking services with the objectives of Sharı‘ah and provided a measurable index for the Islamic banking industry. The suggested index can be used mainly by the regulatory bodies. Future studies may focus more on the aspect and level of Sharı‘ah compliance of the products and services offered by various banks with a dual objective to encourage the banks to raise their Sharı‘ah compliance level and rating, and also guide the stakeholders in the selection of the banks.
Of ﬁ cial American Thoracic Society/Japanese Respiratory Society Clinical Practice Guidelines: Lymphangioleiomyomatosis Diagnosis and Management

Background: Lymphangioleiomyomatosis (LAM) is a rare cystic lung disease that primarily affects women. The purpose of these guidelines is to provide recommendations for the diagnosis and treatment of LAM. Methods: Systematic reviews were performed to summarize evidence pertinent to our questions. The evidence was summarized and discussed by a multidisciplinary panel. Evidence-based recommendations were then formulated, written, and graded using the Grading of Recommendations, Assessment, Development, and Evaluation approach. Results: After considering the panel ’ s con ﬁ dence in the estimated effects,thebalanceofdesirable(i.e.,bene ﬁ ts)andundesirable(i.e.,harms andburdens)consequencesoftreatment,patientvaluesandpreferences,cost,andfeasibility,recommendationswereformulatedfororagainstspeci ﬁ c interventions. These included recommendations for sirolimus treatment and vascular endothelial growth factor D testing and recommendations against doxycycline and hormonal therapy. Conclusions: Evidence-based recommendations for the diagnosis and treatment of patients with LAM are provided. Frequent reassessment and updating will be needed.
Towards Exascale HPC Systems: Exploiting Advances in High Bandwidth Memory (HBM2) Through Scalable All-to-All Optical Interconnect Architectures

As we reach the limits of miniaturization in fabrication processes, the interpretation of Moore ’ s law has changed from doubling the frequency every eighteen month to doubling the core count every three to four years (from 2 cores in 2004 to 16 cores in 2015). To reach exascale-level computation, the communication and data transfers between processors and memory is expected to increase drastically; the on-chip interconnect plays a key role in the overall system latency and energy-efficiency. Therefore, novel solutions providing one order of magnitude higher bandwidth and lower energy consumption than what possible with current electrical inter-connects are needed. This paper discusses an optical interconnected compute node that makes use of embedded photonic interconnects together with emerging high bandwidth memory technologies (such as HBM and HBM2). Two different multi-processors architectures with different requirements in terms of number of lasers, high-speed SERDES and memory bandwidth per processors are discussed.
A Disruptive Contexts Model for Mobile Commerce Systems

Mobile devices are becoming increasingly important within the on-line purchasing cycle. Thus the requirement for mobile commerce systems to become truly context-aware remains paramount if they are to be truly effective under different situations typical with mobility. This report investigates consumer physical and modal contexts and presents findings as to their relationships and potential influence upon m-commerce related behaviours. We show that through an understanding of the relationship between a user’s affective state and level of purchase-decision involvement, a model of engagement can be produced. Through the introduction of the novel concept of disruptive contexts we show a significant effect upon these relationships and propose a system of engagement for the optimization of context-aware m-commerce recommender systems.
A Mitigation Technique For Internet Security Threat of Toolkits Attack

The development of attack toolkits conforms that cybercrime is driven primarily by financial motivations as noted from the significant profits made by both the developers and buyers. In this paper, an enhanced hybrid attack toolkit mitigation model was designed to tackle the economy of the attack toolkits using different techniques to discredit it. The mitigation looked into Zeus, a common and the most frequently used attack toolkit to discover the hidden information used by the attackers to launch attacks. This information helped in creating honey toolkits, honeybot and honeytokens. Honeybots are used to submit honeytoken to botmasters, who sells to the internet black market. Both the botmasters, his mules and buyers attempts to steal huge amount of money using the stolen credentials which includes both real and honeytokens and will be detected by an attack detector which sends an alert on any transaction involving the honeytokens. A reconfirmation process which is secured using enhanced RC6 cryptosystem is enacted. The reconfirmation message in plain text is securely encrypted into cipher text and transmitted from the bank to the legitimate account owner and vise visa. The result of the crypto analysis carried out on the encrypted text using RC6 encryption algorithm showed that the cipher text is not transparent.
Fast Secure Logistic Regression for High Dimensional Gene Data

When collaboratively training Machine Learning (ML) models with Secure Mul-tiparty Computation (SMC), the price paid for keeping the data of the parties private, is an increase in computational cost and runtime. A careful choice of ML techniques, algorithmic and implementation optimizations are a necessity to enable practical secure ML over distributed datasets. Such optimizations can be tailored to the kind of data and ML problem at hand. To the best of our knowledge, we present the fastest existing SMC implementation for training logistic regression models on high dimensional data. For our largest dataset, we train a model that requires over 7 billion secure multiplications; the training completes in about 2 hours in a local area network.
JALT Study Abroad Special Interest Group : 2014 Officers 26

Evidence for and against Rexeisen’s Boomerang Hypothesis among study abroad returnees by Russell Hubert & Tim Newfields. 2 Book Review: ! Language, identity and study abroad: Sociocultural perspectives by Jane Jackson (rev. by Allan Goodwin & Tim Newfields). 8 Study Abroad Perspectives: An interview with Brett Rumminger by Karen Yabuno . 11 . 13 Book Review: ! Second Language Identity in Narratives of Study Abroad by P. Benson, G. Barkhuizen, P. Bodycott, & J. Brown (rev. Tim Newfields). 15
Professional Identity and Performance of English Language Teacher Trainers in Bangladesh: In Quest of the 'Self'

The English language teaching (ELT) sector in Bangladesh is expanding rapidly and has undergone huge reforms in the curriculum, textbooks and assessment format in recent years. This has called for developing a cadre of quality English teachers at secondary and higher secondary education subsectors through in-service teacher training. As a result, English language teacher training has emerged as a relatively new but an important profession in Bangladesh. However, the recruitment, employment and professional development of young ELT practitioners who serve as English language teacher trainers(ELTT) in government run ELT projects and teacher training institutions are characterised by inconsistency in professional structure, lack of policy formulation and disparities in job status. This paradoxical reality has spawned a rather complex setting for the young ELTTs as they struggle to negotiate and construct their professional identity. This research explores the nature and causes of Bangladeshi ELTTs identity formation and seeks to identify links between identity formation and professional performance of ELTTs who worked in two organisational settings in Bangladesh. It explores and reports how Bangladeshi ELTTs perceive their identity within and out of the professional community and how their professional identity affects their professional performance. Data were collected adopting a mixed method approach through questionnaires and in-depth interviews of selected teacher trainers from two major government training providers in Bangladesh. The findings reveal that identity of ELTTs purports complex, relational and multiples realities underpinned by recruitment process, professional status and job satisfaction. Although same or similar factors BELTA Journal, Volume 1, Issue 1, June 2017 doi: https://doi.org/10.36832/beltaj.2017. 0101.08
DETERMINANTS OF EXCHANGE RATE RISK HEDGING

The present paper analyses the reasons publicly traded Spanish firms use derivatives to hedge against exchange-rate risk. Our research focuses on the reasons that can be justified based on the theory of optimal hedging. Information from 49 publicly traded Spanish companies has been used for the analysis. Results similar to those found in other markets have been obtained using multivariate logit regression models. In addition to being a pioneering study in the context of the Spanish market, hypotheses are considered which have not been previously applied in other markets.
Health-Related Procrastination in Nurses: Prevalence and Related Factors

Introduction Lack of a native nurse is one of the global problems in the health system (1). In addition, nurses’ self-care is essential for their personal health, constant care of the others, and their professional progress (2). Most of the nurses suffer from various physical problems due to their work pressure (3). The results of a study demonstrated that 84.4% of nurses experience musculoskeletal disorders and only 30.3% of them follow their treatment and procrastinate treatment seeking until the symptoms get acute (4). The health-related procrastination (HRP) is an unnecessary delay in performing the duties, despite the initial intention for beginning or terminating those duties, which is frequently associated with negative emotions and individual dissatisfaction. HRP should have a stronger and more absolute relationship with health outcomes such as health status, compared to general procrastination (5). Although procrastination is not constantly considered a problem, it frequently leads to undesirable and irrecoverable consequences (6). Procrastination is related to health, wealth, and well-being (7). Although HRP is regarded as a special area which is valuable for those who are working to promote health behaviors, it has received less attention (8). As a result, the current study was implemented since the delay is less considered in adulthood, especially in the nursing population who can differently experience such a phenomenon compared to the others individuals in the health area which is of particularly important. Nevertheless, few HRP studies individually measured health problems, treatment seeking, health behaviors, and general or academic procrastination using separate instruments, they failed to measure HRP by a single instrument. In addition, the checklists, which measure the incidence of health problems and healthrelated actions, were used to assess the health problems and behaviors (9,10) while they should not be confused with HRP. In fact, health-related duties cannot be delayed without any rational reason despite being aware of its negative consequences (5) Therefore, neglecting or delaying health behaviors may not be considered as HRP since delaying health behaviors may occur with acceptable reasons or due to the lack of awareness regarding its consequences. Accordingly, the present study sought to investigate the prevalence of HRP and its related factors, especially the health status of nurses.
Streaming Algorithms for Exact Convex Hull

Given a set P of n points in R 2 , the convex hull of P can be eﬃciently computed in the RAM model using O ( n ) space. In the streaming model for large point sets, where working space (memory) is limited to O (polylog n ) space, only approximation algorithms are known. In this paper, we propose a nearly-optimal algorithm for computing the exact convex hull of n given points. Let h be the number of extreme points in the convex hull. Then our results are: (cid:15) A deterministic streaming algorithm that can compute the convex hull in O (( h=s + 1) log 2 n ) passes us-ing O ( s ) space and O (( h=s +1) n log 3 n ) time for every s = Ω(log 2 n ). A randomized version of our algorithm can compute the convex hull in O (( h=s + 1) log n ) passes with probability 1 (cid:0) 1 =n Ω(1) using O ( s ) space and O (( h=s + 1) n log 2 n ) time for every s = Ω(log n ). (cid:15) Every streaming algorithm that can compute the convex hull with success rate (cid:21) 2 = 3 requires Ω( h=s + 1) passes, if the working space 1 has size s (cid:21) 1. Moreover, we prove that the lower bound on pass complexity is tight for h = Ω(( n=s + p ns 3 ) log n ) by devising a sampling-based algorithm.
NONLINEAR DYNAMICS OF A SHAPE MEMORY OSCILLATOR USING A CONSTITUTIVE MODEL WITH INTERNAL CONSTRAINTS

The dynamical response of systems with shape memory actuators presents intrinsically nonlinear characteristics and a rich behavior. Different applications are exploiting the characteristics of the SMA dynamical response. In general, one can summarize these characteristics into two groups: Dissipation characteristics related to hysteresis loops and property changes caused by phase transformations. This contribution deals with the nonlinear dynamics of shape memory systems where the restitution force is described by a constitutive model with internal constraints. An iterative numerical procedure based on the operator split technique, the orthogonal projection algorithm and the fourth order Runge-Kutta method is developed to deal with nonlinearities in formulation. Numerical investigation is carried out showing some characteristics of SMA dynamical response.
Joint Roughness and Wrinkle Detection Using Gabor Filtering and Dynamic Line Tracking

Skin quality analysis is a continuously increasing field for the detection of skin dryness, wrinkles and other skin conditions for the recommendation of skin-care products. Each method reveals valuable information on age, disease and general habits. Contributions are being made from companies, but many methods make use of extensive image data and diagnostic equipment that are too expensive to obtain. These would involve people visiting skin-care shops for a diagnosis, which is often time consuming and troublesome. A joint technique is proposed to locate skin roughness as part of an optimized wrinkle detection technique based on the capabilities of mobile devices without the use of diagnostic tools. The technique makes use of thresholding, shape analysis and dynamic line tracking for the analysis of skin roughness and wrinkles
The development of regional CPIH: assessment of small area estimation for regional expenditure weights

A feasibility study into producing Consumer Prices Index including owner occupiers’ housing costs (CPIH)-consistent inflation rates for UK regions was published by Southampton University, supported by Office for National Statistics, in November 2017. Its recommendations on improving expenditure estimates at a regional level and how this may lead to more stable regional CPIH estimates are followed up in this second report.
An Exploratory Study on Co-word Network Simulation

Simulation is a feasible way of understanding regularities in scholarly communication. Previous studies have not explored the simulation of co-word networks. This study attempts to simulate co-word networks according to the dynamics of research fields. Two strategies of keyword selection for papers, random selection and preferential attachment, were compared. Results show that preferential attachment generates co-word networks that are more similar to empirical networks than random selection does. The comparisons between simulation and empirical networks also shed light on the keyword selection and growth in a research field. The findings from this study contribute to methods for co-word network simulation which facilitates the study of underlying mechanisms of the intellectual structure of sciences.