Miracle-dz/UniFAR-FTUs huggingface dataset:
Affective agents bridge teh gap between life and mind

We develop an agent-based model which implements affect regulation as the motivation for decision-making in individual affective agents within a simulated social environment. The model design applies the life-mind continuity thesis to the field of social simulation. Agents are fully coupled to the environment through perception and action via core affect regulation. This makes affect the center of the regulation of the coupling between the agent and the environment. The model is used to generate the emergence of zones of cooperation in the Demographic Prisoners Dilemma (DPD) paradigm. This model could provide a more biologically and cognitively plausible explanation for the dynamics of cooperation within the DPD. Although the model abstracts away from self-production and identity generation, it is sufficient to generate these dynamics and provides blocks to build more complex models of human behavior based on affect self-regulation and self-production to gain a deeper understanding of the behavioral foundations of the emergence of social dynamics.
Code review analysis of software system using machine learning techniques

Code review is systematic examination of a software system's source code. It is intended to find mistakes overlooked in the initial development phase, improving the overall quality of software and reducing the risk of bugs among other benefits. Reviews are done in various forms such as pair programming, informal walk-through, and formal inspections. Code review has been found to accelerate and streamline the process of software development like very few other practices in software development can. In this paper we propose a machine learning approach for the code reviews in a software system. This would help in faster and a cleaner reviews of the checked in code. The proposed approach is evaluated for feasibility on an open source system eclipse. [1], [2], [3]
Behavioral Choice between Conflicting Alternatives Is Regulated by a Receptor Guanylyl Cyclase, GCY-28, and a Receptor Tyrosine Kinase, SCD-2, in AIA Interneurons of Caenorhabditis elegans

Animals facing conflicting sensory cues make a behavioral choice between competing alternatives through integration of the sensory cues. Here, we performed a genetic screen to identify genes important for the sensory integration of two conflicting cues, the attractive odorant diacetyl and the aversive stimulus Cu2+, and found that the membrane-bound guanylyl cyclase GCY-28 and the receptor tyrosine kinase SCD-2 regulate the behavioral choice between these alternatives in Caenorhabditis elegans. The gcy-28 mutants and scd-2 mutants show an abnormal bias in the behavioral choice between the cues, although their responses to each individual cue are similar to those in wild-type animals. Mutants in a gene encoding a cyclic nucleotide gated ion channel, cng-1, also exhibit the defect in sensory integration. Molecular genetic analyses suggested that GCY-28 and SCD-2 regulate sensory integration in AIA interneurons, where the conflicting sensory cues may converge. Genetic ablation or hyperpolarization of AIA interneurons showed nearly the same phenotype as gcy-28 or scd-2 mutants in the sensory integration, although this did not affect the sensory response to each individual cue. In gcy-28 or scd-2 mutants, activation of AIA interneurons is sufficient to restore normal sensory integration. These results suggest that the activity of AIA interneurons regulates the behavioral choice between the alternatives. We propose that GCY-28 and SCD-2 regulate sensory integration by modulating the activity of AIA interneurons.
Madness (Eemwengu) and Its Sources

Integrating indigenous cultural knowledge into conceptualizing mental illness offers fruitful avenues to better contextualize mental health. What is abnormal and indicative of psychological distress varies in the meaning given to symptoms and the actual identification of disorders. This is no less true in Ovambo culture in Namibia, Southern Africa. The Namibian government, however, has noted that little is known about the mental health needs throughout the country. Although some researchers have identified symptoms of psychological distress in Namibian men and women, cultural tradition and belief systems are typically missing. The purpose of this study was to use ethnographic data to develop an understanding of what Ovambo men and women living in a rural area of Northern Namibia believe about mental illness. Informal discussions and formal interviews served as data. Participants (N = 14) were all Ovambo men or women who were sampled after ongoing engagement in a rural community in northern Namibia. Data from field observations and interviews were analyzed using grounded theory open coding, resulting in two key categories: (a) Eemwengu (madness) and Omunanamwengu (the mad one) and (b) Where Madness Comes From: Explanations of Mental Illness. The first category offers insight into a culturally embedded way of identifying mental illness in Ovambo culture. The second category includes several subcategories oriented to the etiology of mental illness in Ovambo culture. Etiological beliefs about mental illness, eemwengu as a culturally embedded construct, and social control in the beliefs about psychological distress in Ovambo culture are discussed.
A survey of static software watermarking

Software watermarks, which can be used to identify the intellectual property owner of a piece software, are broadly divided into two categories: static and dynamic. Static watermarks are embedded in the code and/or data of a computer program, whereas dynamic watermarking techniques store a watermark in a program's execution state. In this paper, we present a survey of the known static software watermarking techniques, including a brief explanation of each.
Additional file 8 – Comparison of predicted subcellular locations with experimental data for both known and hitherto unknown PTS1 and PTS2-targeted proteins A. Comparison of LOCATE summaries and integrated prediction results with experimentally supported localization of proteins

PTS1-containing proteins with hitherto unknown peroxisomal localization KBTBD 10 [1] PM, Cyt, Chs (DB); soluble, non-secreted Cyt 2.94 Cyt 87.60 Cyt Nuc ER 1.00 0.00 0.00 Cyt Nuc Per 23.00 4.00 2.00 Per Cyt ER 0.80 0.15 0.02 Cyt [this study], Cyt, PM (pseudopodia) of FBR fibroblast cell line [2,3] Gab2 [1] No SCL data; soluble, nonsecreted Nuc 4.50 Nuc 100.00 Cyt Nuc ExR 0.92 0.00 0.00 Nuc Cyt-Nuc 28.50 16.50 Nuc Per Cyt 0.88 0.09 0.02 Cyt, PM, End of EGF-induced hepatocytes [4]
Integrated impact analysis for managing software changes

The paper presents an adaptive approach to perform impact analysis from a given change request to source code. Given a textual change request (e.g., a bug report), a single snapshot (release) of source code, indexed using Latent Semantic Indexing, is used to estimate the impact set. Should additional contextual information be available, the approach configures the best-fit combination to produce an improved impact set. Contextual information includes the execution trace and an initial source code entity verified for change. Combinations of information retrieval, dynamic analysis, and data mining of past source code commits are considered. The research hypothesis is that these combinations help counter the precision or recall deficit of individual techniques and improve the overall accuracy. The tandem operation of the three techniques sets it apart from other related solutions. Automation along with the effective utilization of two key sources of developer knowledge, which are often overlooked in impact analysis at the change request level, is achieved. To validate our approach, we conducted an empirical evaluation on four open source software systems. A benchmark consisting of a number of maintenance issues, such as feature requests and bug fixes, and their associated source code changes was established by manual examination of these systems and their change history. Our results indicate that there are combinations formed from the augmented developer contextual information that show statistically significant improvement over standalone approaches.
Education and the natural rate of unemployment

We show how changes in the educational composition of the labour force affect both the level and the behaviour over time of aggregate unemployment series. We also demonstrate that if it had not been for such changes, the US unemployment series would look "European" since the within-group unemployment series all have that same appearance. We derive a natural-rate model of unemployment for two education groups, providing microfoundations for inter-group differences in wages and unemployment, and evaluate its plausibility in light of microeconomic evidence. Copyright 2000 by Oxford University Press.
Embedded real-time system modeling language analysis and comparison

Auto cruise control system (CCS) is a typical case of embedded real-time systems (RTES). Model-based design method describes both system software and hardware structure by the effective modeling language in RTES. That satisfies RTES real-time capability and reliability, and enhances productivity and saves cost expenses. This paper models CCS using the modeling languages UML (Unified Modeling Language) and AADL (Architecture Analysis and Design Language) respectively, and analyzes the characteristics of the two languages, then discusses RTES modeling development trend.
A Cooperative Learning Scheme for Energy Efficient Routing in Wireless Sensor Networks

Wireless sensor networks (WSNs) are gaining more interest in variety of applications. Of their different characteristics and challenges, network lifetime and efficiency are the most considered issues in WSN-based systems. The scarcest WSN's resource is energy, and one of the most energy-expensive operations is route discovery and data transmission. This paper presents a novel design of a cooperative nodes learning scheme for cooperative energy-efficient routing (CEERA) in wireless sensor networks. In CEERA, nodes perform a cooperative learning in delivering data to the base station. The retransmission of packets is controlled through an address-based timer. CEERA achieves overhead reduction and energy conservation by controlling various parameters that affect the overall network efficiency. Performance results are evaluated using NS2 simulator and our own implemented event-driven simulation. The simulation results show that our algorithm minimizes the overall energy consumption of the WSN, extends network operational lifetime, and improves network efficiency and throughput.
Making the Most of the Curriculum Review: Some Reflections on Supporting and Sustaining Change in Schools

The 2004 review of Scotland’s school curriculum offers the potential for radical change in the education of young people, placing a greater emphasis than at present on learners and learning. If realised, it presents greater scope for innovative teaching, flexibility in provision, less overcrowding and a potential challenge to the entrenched subject paradigm in secondary education. This paper does not offer a critique of or even a detailed commentary on the Curriculum Review, the principles of which I broadly support. Instead it is concerned with the issue of sustainability. Despite the good intentions inherent in the review, fundamental curriculum change in Scotland may be no more than a chimera, blocked by the structural conservatism of the schooling system. The paper draws together some of the recent theoretical and empirical literature on curriculum change, examining some of the issues that may impact on this latest attempt to reform the curriculum and suggesting a model for change that may facilitate long lasting and deeply rooted change.
The evolution of the RCSB Protein Data Bank website

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) supports scientific research and education by providing an essential resource of information about biomolecular structures. As a member of the Worldwide Protein Data Bank (wwPDB), the RCSB PDB curates and annotates the data about the experimentally determined three‐dimensional structures of proteins and nucleic acids that are deposited into the PDB archive. The RCSB PDB also provides online resources to access the data in the archive, including a relational database supporting simple and complex query and reporting, visualization tools, structure‐sequence comparison tools, access to the associated literature, and educational services. In the 11 years (1999–2010) since RCSB PDB has been in operation, the amount of data in the archive has increased six‐fold, along with an increase in the complexity of structures being determined and in the number of experimental methods used. The evolution required by RCSB PDB to meet these challenges provides insight into the motivation and challenges of developing and maintaining a major biological resource, particularly the one used in understanding the molecular details of living systems in both normal and disease states. © 2011 John Wiley & Sons, Ltd. WIREs Comput Mol Sci 2011 1 782–789 DOI: 10.1002/wcms.57
Another convex combination of product states for the separable Werner state

In this paper, we write down the separable Werner state in a two-qubit system explicitly as a convex combination of product states, which is different from the convex combination obtained by Wootters' method. The Werner state in a two-qubit system has a single real parameter and varies from inseparable to separable according to the value of its parameter. We derive a hidden variable model that is induced by our decomposed form for the separable Werner state. From our explicit form of the convex combination of product states, we understand the following: The critical point of the parameter for separability of the Werner state comes from positivity of local density operators of the qubits.
The Role of Eddies in Determining the Structure and Response of the Wind-Driven Southern Hemisphere Overturning: Results from the Modeling Eddies in the Southern Ocean (MESO) Project

Abstract The Modeling Eddies in the Southern Ocean (MESO) project uses numerical sensitivity studies to examine the role played by Southern Ocean winds and eddies in determining the density structure of the global ocean and the magnitude and structure of the global overturning circulation. A hemispheric isopycnal-coordinate ocean model (which avoids numerical diapycnal diffusion) with realistic geometry is run with idealized forcing at a range of resolutions from coarse (2°) to eddy-permitting (1/6°). A comparison of coarse resolutions with fine resolutions indicates that explicit eddies affect both the structure of the overturning and the response of the overturning to wind stress changes. While the presence of resolved eddies does not greatly affect the prevailing qualitative picture of the ocean circulation, it alters the overturning cells involving the Southern Ocean transformation of dense deep waters and light waters of subtropical origin into intermediate waters. With resolved eddies, the surface-t.
Study of the nonlinear behavior of the electrode-skin interface using silicon and Ag/AgCl electrodes

In this paper, we present the results of experiments carried out with Ag/AgCl and silicon electrodes to study the impedance of the electrode-skin interface. Also, we investigate the effect of nonlinear behavior of electrode-skin interface impedance on harmonics in the interface current. We used some Ag/AgCl and silicon electrodes with different areas to apply a voltage to human forearm in some frequencies and measured the current passing through electrode-skin interface. Then, we used these values to calculate the electrode-body system impedance. Further, the ratio of the second harmonic of the current to its fundamental harmonic is calculated to study the effect of nonlinear behavior of the electrode-skin interface. Finally, we compare the generated harmonics and interface impedance of the Ag/AgCl electrodes with silicon electrodes.
Correlations of three-dimensional motion of chromosomal loci in yeast revealed by the double-helix point spread function microscope

The double-helix point spread function microscope is used to track single pairs of fluorescently labeled chromosomal loci in live yeast cells in three dimensions. Enhanced velocity cross-correlations are observed between pairs of GAL loci in diploid cells under repressive conditions, and ubiquitous subdiffusive exponents are found to be near 0.6–0.75.
A DAVIC-based architecture for hypermedia applications over the Internet

This paper presents an architecture aimed at supporting distributed hypermedia applications focusing on the exchange of multimedia objects over the Internet, their processing and presentation. The model is based on the Digital Audio-Visual Council (DAVIC) proposals for interactive TV, which means that the Multimedia and Hypermedia information coding Expert Group (MHEG-5) is adopted as the representation standard for multimedia objects and the Digital Storage Media Command and Control (DSM-CC) as the real time protocol for data delivery.
Proposed New Quantum Cryptography System Using Quantum Description Techniques for Generated Curves

-The main goal of this paper is combining the curve security methods with quantum cryptography concepts in order to increase the capability of quantum cryptography methods that used for key distribution and increase the randomness for quantum cryptography protocols. This paper produced a new approach depend on the generate curve and descript this curve by using quantum cryptography concepts, the curve description will be sent to the other party to agree about the key depending on the suggested protocol that produced in this paper. Curve security involves the process of protecting the shape of the curve from reproduced and as a result, protecting the whole document from being regenerated by any counterfeiting person. On the other hand, the strength of quantum cryptography is based on the quantum behavior of the photons when it is measured in a different basis; it is resulted in a random value and information destruction. The combination of the two cryptography direction guaranteed that the resulted key have the required randomness. The key is tested using the different randomness tests, which prove the high randomness of the keys that are resulted with this approach.
OPTIMIST Conflict Resolution Overlay for the ACT – R Cogntivie Architecture ∗

This is a documentation on the OPTIMIST overlay for the ACT–R cognitive architecture (Anderson & Lebiere, 1998). The overlay implements an alternative conflict resolution algorithm. The main difference of the new algorithm from the ‘standard’ is the use of Gamma distributed noise, which has rule–specific and dynamic variance as opposed to normal distributed noise with global and constant variance.
An algorithm to build convex hulls for 3‐D objects

Abstract In this paper, a new algorithm based on the Quickhull algorithm is proposed to find convex hulls for 3‐D objects using neighbor trees. The neighbor tree is the data structure by which all visible facets to the selected furthest outer point can be found. The neighboring sequence of ridges on the outer boundary of all visible facets also can be found directly from the neighbor tree. This new algorithm is twice as efficient as Barber's algorithm.
A hidden Markov model framework for video segmentation using audio and image features

This paper describes a technique for segmenting video using hidden Markov models (HMM). Video is segmented into regions defined by shots, shot boundaries, and camera movement within shots. Features for segmentation include an image-based distance between adjacent video frames, an audio distance based on the acoustic difference in intervals just before and after the frames, and an estimate of motion between the two frames. Typical video segmentation algorithms classify shot boundaries by computing an image-based distance between adjacent frames and comparing this distance to fixed, manually determined thresholds. Motion and audio information is used separately. In contrast, our segmentation technique allows features to be combined within the HMM framework. Further, thresholds are not required since automatically trained HMMs take their place. This algorithm has been tested on a video data base, and has been shown to improve the accuracy of video segmentation over standard threshold-based systems.
Using an Analytical Model of Shared Caches for Selecting the Optimal Parallelization Scheme

Multicores are now the norm. Their cache hierarchy has often a last level shared cache. The performance of this shared cache during the execution of multithreaded applications depends on the parallelization scheme followed. For example, critical parameters for the performance of parallelized loops are the number of threads and the block size. The selection of the optimal scheme in a compiler can be guided using heuristics or the execution time. Heuristics can be imprecise, while an execution time guided search is very time-consuming. This paper shows the usage of an analytical model to predict the cache behavior of shared caches during the execution of multithreaded applications that have been parallelized at loop level. The model predicts the number of misses generated by a given code when different number of threads or block sizes are used. The execution time of the codes analyzed is highly correlated to the number of misses generated in the shared cache, thus, the prediction of the model is a powerful tool to select the best parallelization scheme for them.
‘Pro-savers’: the role of community in energy demand reduction

Community energy provides a space for end-users and inter- est groups to engage with energy consumption and production at the grassroots level. Often emerging out of community-led renewable energy projects, community initiatives have the ca- pacity to address issues such as rising energy prices, fuel pov- erty and the desire of independence from incumbent energy utilities. The publication of the Community Energy Strategy in January 2014 in particular marks the first attempt to insti- tutionalise community energy within the UK energy system. Using localised and tacit knowledge, community energy groups can be ideally placed to deal with energy consumption at the point of demand. This opens up opportunities for consumers to engage not only in energy generation but increasingly also in energy demand-management, thus moving from consumption over ‘prosumption’ to ‘pro-saving’. Our three case studies pro- vide an overview of three community energy approaches that exhibit the emergence of ‘prosumption’ and the shift towards ‘pro-saving’, a concept which includes the notion of demand reduction as well as the development of innovative approaches combining distributed energy with demand reduction and de- mand side response. The paper draws these examples together in order to provide an outlook for increasingly decentralised energy generation and demand-management practices along with some concrete policy recommendations.