Miracle-dz/UniFAR-FTUs huggingface dataset:
Standard Models and Split Supersymmetry from Intersecting Brane Orbifolds

We construct four dimensional three generation non-supersymmetric $SU(3)_c \times SU(2)_L \times U(1)_Y$ intersecting D6-brane models with $\nu_R$\rq{s}. At three stacks we find exactly the MSSM chiral fermion matter spectrum. At 4-, 5-stacks we find models with the massless fermion spectrum of the N=1 Standard Model and massive exotic non-chiral matter; these models flow also to only the SM. At 8-stacks we find MSSM-like models, with minimal massless exotics, made from two different N=1 sectors. Exotic triplet masses put a lower bound on the string scale of $2.79/2.89 \times 10^6$ GeV for a Higgs 124/126 GeV. It\rq{}s the first appearance of N=0 stringy quivers with the MSSM and matter in antisymmetric representations and perturbatively missing Yukawa couplings. The present models are based on orientifolds of ${\bf T^6/(Z_3 \times Z_3)}$ compactifications of IIA theory based on the torus lattice AAA; all complex moduli are fixed by the orbifold symmetry. We also present the spectrum rules + GS anomaly cancellation for the ABB lattice. Moreover, we point out the relevance of intersecting/and present D6-brane constructions on ideas related to existence of split supersymmetry in nature. In this context we present non-susy models with only the SM-matter and also MSSM-matter dominated models, with massive gauginos and light higgsinos, that achieve the correct supersymmetric GUT value for the Weinberg angle $sin^2 \theta = \frac{3}{8}$ at a string scale $5 \cdot 10^{13} \ GeV < M_{S} < 1.4 \cdot 10^{17}$ GeV. It appears that if only the SM survives at low energy the unification scale is preserved at $5.03 \times 10^{13}$ GeV when n$_H$ =1, 3, 6. These models support the existence of split supersymmetry scenario in string theory.
Visualising human dialog

Human dialogue is so complex that definitively analysing patterns of conversation may well be impossible. Within a conversation, all the complexities and ambiguities of natural language exist and each speaker will have his/her own speech characteristics and moods. Examining these characteristics through text dialog can be a demanding cognitive task. One reason is because the whole conversation cannot be viewed at one time. This task can be made more convenient if there is a way of visualising all this information at once through graphical patterns. Graphical patterns can revolve around the conversation, creating an abstract piece of artwork. From these patterns, one can guess at the speaker's emotion and how he/she is connected to another speaker during a conversation. This paper discusses the different visualisation techniques that are used to represent several aspects of a conversation.
Reduced Sensitivity to Sooner Reward During Intertemporal Decision-Making Following Insula Damage in Humans

During intertemporal choice, humans tend to prefer small-sooner rewards over larger-delayed rewards, reflecting temporal discounting (TD) of delayed outcomes. Functional neuroimaging (fMRI) evidence has implicated the insular cortex in time-sensitive decisions, yet it is not clear whether activity in this brain region is crucial for, or merely associated with, TD behavior. Here, patients with damage to the insula (Insular patients), control patients with lesions outside the insula, and healthy individuals chose between smaller-sooner and larger-later monetary rewards. Insular patients were less sensitive to sooner rewards than were the control groups, exhibiting reduced TD. A Voxel-based Lesion-Symptom Mapping (VLSM) analysis confirmed a statistically significant association between insular damage and reduced TD. These results indicate that the insular cortex is crucial for intertemporal choice. We suggest that he insula may be necessary to anticipate the bodily/emotional effects of receiving rewards at different delays, influencing the computation of their incentive value. Devoid of such input, insular patients’ choices would be governed by a heuristic of quantity, allowing patients to wait for larger options.
KMI for SCADA and WirelessHART in IACS

The requirement and benefits of off-the-shelf technologies and open standards makes the industrial automation and control systems (IACS) to move from isolated environment to interconnect with other networks. This makes the industrial control systems to expose for wide range of cyber attacks. As the severity of the cyber attacks on these networks are increasing, adopting crypto techniques and securing the industrial plant is a high priority issue from the past few years. The integration of crypto technologies in IACS is successful only by an effective key management infrastructure (KMI). From IACS perspective, this paper addresses the challenges and parameters that need to be considered while designing a KMI for IACS. Also, case study on KMI issues for supervisory control and data acquisition (SCADA) and WirelessHART is discussed. By considering the constraints and required key management features, an efficient key management scheme is proposed for SCADA and WirelessHART using polynomial key establishment scheme.
Determinants and outcomes of price premium and loyalty: A food case study

This paper examines determinants and outcomes of price premium and loyalty on a food product. The study attempts to fill this gap by offering new insights into consumer's perspectives, as concerns food marketing, and to empirically test a model that includes five determinants or drivers: awareness, corporate social responsibility, origin, quality, and positioning. Furthermore, the greater or weaker impact of price premium and loyalty on their outcomes have been also studied, specifically, the influence that word-of-mouth has on people's opinions. This study uses a survey research design, and the data were collected from 278 consumers of a specific food product: olive oil. Structural equation modeling with partial least squares regression technique was used to test the hypotheses. The results provide empirical support for the proposed differences on the relationships of price premium and loyalty with their determinants and outcomes. Positioning is the strongest and unique element of the determinants of price premium. Awareness, corporate social responsibility, and quality are the drivers of loyalty. Both constructs have a positive influence on word-of-mouth. The findings reveal important practical implications for food managers, in terms of making a proper design of strategies from the analysis of consumer's behavior. To stay competitive, practitioners should work in an ongoing process. Specifically, they should pay attention to quality, sustainable olive oil, locally made products, or food marketing.
Drug Addiction Among Female Drug Addicts At Puspen Bachok, Kelantan: A Pilot Study On Appreciation Of Aqidah

According to the National Anti-Drugs Agency (NADA), the number of female drug addicts has been decreasing in the period of 2009 to 2013. The highest amount was recorded in 2010 with 580 female drug addicts. There are nowadays a lot of issues of drug addiction among women in the newspaper and also other sources of media such as the internet or television. Therefore, a pilot study was conducted to identify the appreciation of Aqidah among female drug addicts in Narcotics Addiction Rehabilitation Centre (PUSPEN) Bachok, Kelantan. By using quantitative methods, this study focused on 30 Muslim drug addicts from PUSPEN as respondents. Data was collected by using a set of questionnaire and analyzed with a 'Statistical Program for Social Sciences’ (SPSS) software Version 21.0 for windows to see the percentage, frequency and mean. This study found out that the overall score of the mean for appreciation of Aqidah from the point of understanding, feeling and practice, were in the high rate of 4.00 to 5.00. Keywords: Female Drug Addicts, PUSPEN, Appreciation of Aqidah
Exploiting data correlation for multi-scale processing in sensor networks

With the emergence of large and multi-scale sensor networks, the technologies of multi-scale processing among various sensors become an essential issue. In this paper, the problem of exploiting data correlation for multi-scale sensor networks is considered, and an architecture exploiting correlation is designed for both intra- and inter-data processing. Our correlation-adaptive scheme follows the characteristics of real sensor data, and fills the gap of the correlation models addressed by most of previous research with inherent support for related data gathering algorithms. A core solution module of this architecture is devised, and theoretical analysis and simulation studies are conducted on real-world datasets. Through the real-world data experiments in terms of accuracy and energy-consumption evaluation, the correlation-adaptive scheme is shown to work well in multi-scale processing sensor networks.
An Effective Broadcast Strategy for Route Discovery in the ZigBee Network

The route discovery in ZigBee is performed by simple flooding where every node forwards the packet once. The uncontrolled flooding usually is likely to serious contention and collision due to many redundant transmissions. It therefore can lead to decreasing network performances such as routing overhead and packet delivery ratio. To cope with this, this paper proposes an effective broadcast algorithm called ZBARD (ZigBee broadcasting algorithm on route discovery). As ZBARD sets the broadcast radius to a proper value which can guarantee establishing a shortest path between nodes, it minimizes control packets issued by the route discovery. Due to limitation of redundant transmissions, it reduces collision as well as contention and results in improving network performances such as routing overhead and packet delivery ratio. Simulation shows that the proposed algorithm reduces the number of unnecessary transmissions followed by route discoveries well.
A Survey Of Various Qos-Based Task Scheduling Algorithm In Cloud Computing Environment

: Cloud computing is a new terminology which is achieved by Distributed, Parallel and Grid computing. Cloud computing is a new design pattern for large, distributed data centers. Cloud computing offers end consumers an ―a pay as go‖ model – a powerful shift for computing towards a utility model like the electrical system, the telephone system, or more recently the Internet. Cloud computing provides different types of resources like hardware and software as services via internet. Task scheduling is the key role in cloud computing. Tasks require minimum completion time, better performance, utilization of resources and quick response time for which cloud uses the concepts of the virtualization. For task allocation cloud provides virtual machine which is scalable but scheduling them is a major problem. In this paper we study different types of task scheduling algorithms with QoS facility and issues related to them in cloud computing. These scheduling algorithms focus on resource management, response time, load balancing and performance.
No . 2013-614 3 D Object Recognition using Local Shape Descriptors ∗

3D object recognition is a challenging problem with important applications such as robotic perception. The most promising approach to solving 3D object recognition is through solving the correspondence problem. The goal of the correspondence problem in the context of 3D object recognition is to find correspondences between the objects to be recognized and the scene. If correspondences exist between an object and the scene it can be hypothesized that this object exists in the scene. Once these hypotheses are verified objects are recognized. The most common approach to solving the correspondence problem for 3D object recognition has been through techniques that try to find correspondences between local regions of the models and the scene. In this report, we focus on different local techniques and highlight their weaknesses and strengths as well as provide directions for future research.
Sliding-Mode Adaptive Observer Approach to Chaotic Synchronization

Extensions of sliding-mode adaptive observer are presented for state reconstruct nonlinear systems with uncertainty having unknown bounds. The observer uses non gains that are smoothened versions of classical sliding-mode gains and they are co ously updated to guarantee a globally stable observation error. This observer is ap to Chua’s circuit in a chaotic synchronization scheme. A generalization to known w form type disturbances and measurement uncertainties is pointed out. @S0022-0434 ~00! 02304-2#
The null-space-based behavioral control for mobile robots

In this paper a new behavior-based control for autonomous mobile robots is proposed and compared with the main behavioral control techniques. The behavioral algorithms share the same approach to the problem: first, the overall motion control problem is decomposed in simple tasks to be achieved by the robot; then the tasks are arranged so that a univocal motion command is given to the robot. The difference among the algorithms is mainly in the way they compose the outputs of the single tasks. Our evaluation is concern in particular in the kinematic aspect of handling those outputs.
Self-orientation of a hand-held catadioptric system in man-made environments

In central catadioptric systems the 3D lines are projected into conics, actually degenerate conics. In this paper we present a new approach to extract the projected lines corresponding to straight lines in the scene and to compute vanishing points from them. Using the internal calibration and two image points we are able to compute the catadioptric image lines analytically. We exploit the presence of parallel lines in man-made environments to compute the dominant vanishing points in the omnidirectional image. In order to obtain the intersection of two of these conics to compute vanishing points we analyze the self-polar triangle common to this pair. With the information contained in the vanishing points we are able to obtain the self-orientation of a hand-held catadioptric system. This system can be used in a vertical stabilization system required by autonomous navigation or to rectify images required in applications where the vertical orientation of the catadioptric system is assumed. We test our approach performing vertical and full rectifications in real sequences of images.
TCHR: a framework for tabled CLP

Abstract Tabled Constraint Logic Programming is a powerful execution mechanism for dealing with Constraint Logic Programming without worrying about fixpoint computation. Various applications, e.g. in the fields of program analysis and model checking, have been proposed. Unfortunately, a high-level system for developing new applications is lacking, and programmers are forced to resort to complicated ad hoc solutions. This papers presents TCHR, a high-level framework for tabled Constraint Logic Programming. It integrates in a light-weight manner Constraint Handling Rules (CHR), a high-level language for constraint solvers, with tabled Logic Programming. The framework is easily instantiated with new application-specific constraint domains. Various high-level operations can be instantiated to control performance. In particular, we propose a novel, generalized technique for compacting answer sets.
Capturing User Experience : An Australian Case Study on Using Distributed Cognition Theory to Inform the Sustainable Design of Meteorological Information Systems

The Australian Bureau of Meteorology (BoM), faced with the challenge of meeting rising end-user expectations and managing associated increases in the workload of its forecasters, has initiated the Forecast Streamlining and Enhancement Project (FSEP) to re-design its meteorological information systems (MIS). The challenge for FSEP and for the research is to acquire the information requirements of forecasters without interrupting the continuous work of forecasting. This research challenge is compounded by the fact that many of the most critical information requirements arise in the cognitive interactions between forecasters and because a ‘key bottleneck’ for weather products remains the situated, embodied and distributed nature of the interactions used to generate the forecast. This paper presents a case study exploring the utility of distributed cognition (DC) theory as one approach to address these research challenges and to produce insights that capture forecasters’ experiences as a context for the design of the BoM’s next generation of MIS. At the theoretical level, DC theory allows for the capture and validation of design insights through observing cognitive behaviour as a system of individuals interacting within their natural environment. At the methodological level, the data collection techniques deployed allow for the capture of the complex socio-technical nature of forecasters’ information sharing without interrupting their work. This paper highlights the utility of DC theory as a sustainable methodology for sensitising designers to an awareness of the cognitive implications of changes to information systems and/or work processes.
Experimental investigation of link layer adaptation in IEEE 802.11n WLANs

Due to its low cost wireless communication methodology and improvements in both its physical (PHY) and MAC (Link) layers, the IEEE 802.11n wireless LAN (WLAN) technology has been adopted widely. However, fairness of current 802.11n rate adaptation (RA) mechanisms and analysis of practical user end-to-end throughput are among important issues still in their infancy. Thus in this paper, we conduct an experimental investigation of adapting 802.11n MAC and PHY layer parameters in an indoor 3 × 3 MIMO testbed. We detail the deployment of our infrastructure mode testbed and compare the performance of 802.11n RA mechanisms under various conditions, including simultaneous transmissions and Co-Channel Interference (CCI). We then examine a range of elements affecting application performance including the number of spatial streams, packet length, frame aggregation subframe number and length. Favorable results are observed across a set of configurations and parameters, such as the increase in A-MPDU subframe length and its impact on end-to-end throughput. We believe our results demonstrate how overall application performance may be influenced by the Link layer; some of which may also be applicable to the upcoming 802.11ac IEEE standard.
Distributed Clustering and Scheduling of VMs

In this work, we have developed Caft, a middleware that runs on top of the Terracotta system and has the capacity to run simple multithreaded Java applications in a transparent way, scheduling threads across the several nodes in a Terracotta cluster and taking advantage of the extra computational and memory resources available. We use bytecode instrumentations to add clustering capabilities to the multi-threaded Java application, as well as extra synchronization if needed. The middleware supports several modes, in order to achieve a balance between transparency and flexibility. We tested the middleware with a Fibonacci computing application, an Open Source renderer (Sunflow) and an application that multiplies a matrix by a vector. We concluded that our middleware is scalable, as it allows a multi-threaded application to achieve lower execution times by adding more nodes to a Terracotta cluster.
Differential Effects of Short-Term Treatment with Two AT1 Receptor Blockers on Diameter of Pial Arterioles in SHR

Chronic treatment with angiotensin receptor blockers is largely accepted for protecting cerebral circulation during hypertension, but beneficial effects of short-term treatments are questionable, as highlighted by the recent SCAST trial. We compared the impact of 10 days treatment with candesartan (as SCAST) versus telmisartan (previously described to reverse arteriolar remodeling, chronic treatment) on pial arterioles of spontaneously hypertensive rats (SHR). We explored whether PPAR-gamma agonist activity or AT1 receptor blockade are involved in their differential effects. In the first study, 4-month-old male SHR were treated with telmisartan (TELMI, 2 mg/kg per day) or candesartan cilexetil (CANDE, 10 mg/kg per day) and compared to vehicle treated SHR and normotensive WKY. In a second study, SHR were treated with CANDE, pioglitazone (a PPAR-gamma agonist, PIO 2.5 mg/kg per day) or CANDE+PIO, compared to TELMI. Internal diameter of pial arterioles (ID, cranial window) was measured at baseline, during hemorrhage-induced hypotension, or following suffusion of Ang II (10−6 mol/L) or EDTA inactivation of smooth muscle cells (passive ID). PPAR-gamma and eNOS (target gene of PPAR-gamma) mRNA were evaluated in brain microvessels. For similar antihypertensive effects, TELMI (+44% versus SHR), but not CANDE, increased baseline ID. During hemorrhage, ID in TELMI group was similar to WKY, while ID in SHR and CANDE remained lower. In the second study, TELMI (+36%, versus SHR) and CANDE+PIO (+43%) increased baseline ID, but not CANDE or PIO alone. TELMI (−66%) and CANDE+PIO (−69%), but neither CANDE nor PIO alone, decreased Ang II-induced vasoconstriction. CANDE+PIO, but not CANDE, increased passive ID. In both studies, PPAR-gamma and eNOS expressions were higher in TELMI than CANDE. Short-term treatment with TELMI, but not with CANDE, reverses narrowing of pial arteriolar ID in SHR. This may involve PPAR-gamma related mechanisms, since CANDE+PIO treatment induced similar effects, and a better blockade of AT1 receptors.
12 + 1 Questions in the Design of Distributed User Interfaces

Current visual display ecosystems raises new situations and new configurations regarding the way a user interacts with a system through the user interface. In a post-WIMP period, we can find coupled displays, multi-touch devices, and interactive table-tops, tablets, tangible user interfaces, eWatchs and many other devices often interconnected through the same applications. This scenario poses researchers new challenges in the design of distributed user interfaces. In this paper we raise a set of questions as guidelines to consider that may drive designers in their work.
Critical reading effort during text revision

This study concerns one of the processes involved in written verbal production: text revising. Our aim was to experimentally test the specificity of reading for revision as compared to reading for comprehension, and to determine the cognitive cost of initiating and performing critical-reading processes. A two-session experiment was conducted on students who had to perform a comprehension task and a revising task on a text presented in its basic version, or in a version containing either syntax errors or spelling errors. An analysis of the cognitive effort associated with critical-reading and comprehension-reading processes, and of the participants’ comprehension and revising performance, showed that critical reading was more effortful than comprehension reading. It showed also that critical reading was more effortful for the text version with syntax errors than with spelling mistakes. In addition, the working memory span of the readers/revisers had a different impact on effort and performance, depending on the type of errors in the text (spelling or syntax).
Review of the effects of endocrine-disrupting chemicals in birds

There have been several case studies of the impact of chemical contaminants on birds at the level of individuals or populations. While many of the chemicals involved in these incidents have been classified as endocrine-disrupting chemicals or endocrine active substances (EASs) the mechanisms by which these chemicals affect birds are not clearly or fully understood.
The Efficacy of Wireless B 2 B e-Procurement : A Pilot Study

This paper reports on an empirical study to assess the impacts and benefits of wireless applications to enhance an electronic procurement system, as well as some critical success factors. For different user groups, we analyze the role of the work environment for the usage and, ultimately, the benefits of the wireless applications. The study provides a basis for a broader framework to improve the design and management of business applications based on emerging technologies.