Miracle-dz/UniFAR-FTUs huggingface dataset:
Microphysics and dynamics of the Gamma-Ray Burst 121024A

Aims. The aim of the study is to constrain the physics of gamma-ray bursts (GRBs) by analysing the multi-wavelength afterglow data set of GRB 121024A that covers the full range from radio to X-rays. Methods. Using multi-epoch broad-band observations of the GRB 121024A afterglow, we measured the three characteristic break frequencies of the synchrotron spectrum. We used six epochs of combined XRT and GROND data to constrain the temporal slopes, the dust extinction, the X-ray absorption, and the spectral slope with high accuracy. Two more epochs of combined data from XRT, GROND, APEX, CARMA, and EVLA were used to set constraints on the break frequencies and therefore on the micro-physical and dynamical parameters. Results. The XRT and GROND light curves show a simultaneous and achromatic break at around 49 ks. As a result, the crossing of the synchrotron cooling break is no suitable explanation for the break in the light curve. The multi wavelength data allow us to test two plausible scenarios explaining the break: a jet break, and the end of energy injection. The jet-break scenario requires a hard electron spectrum, a very low cooling break frequency, and a non-spreading jet. The energy injection avoids these problems, but requires $\epsilon_e > 1 (k = 2)$, spherical outflow, and $\epsilon_B < 10^{-9}$. Conclusions. In light of the extreme microphysical parameters required by the energy-injection model, we favour a jet-break scenario where $\nu_m < \nu_{sa}$ to explain the observations. This scenario gives physically meaningful microphysical parameters, and it also naturally explains the reported detection of linear and circular polarisation.
PENGELOMPOKAN AROMA TAHU BERFORMALIN BERBASIS METODE PCA (PRINCIPLE COMPONENT ANALYSIS)

Telah dibuat alat deteksi aroma makanan berformalin berbasis metode PCA. Alat deteksi aroma menggunakan prinsip kerja dari elektronik nose (yang selanjutnya disebut enose). Enose adalah instrument pendeteksi berdasarkan klasifikasi aroma seperti fungsi hidung manusia, yakni harus dilatih untuk mengenali aroma sebelum diuji untuk mengklasifikasikan aroma. Penelitian ini dilatarbelakangi oleh belum adanya alat pendeteksi formalin pada produk makanan, terutama pada tahu. Hal ini karena harga instrument analisis modern sangat mahal. Alat uji aroma, digunakan sebagai upaya mengantisipasi pelanggaran penggunaan bahan tambahan makanan yang berbahaya bagi masyarakat. Sementara itu, berdasarkan hasil penelitian yang telah ada, enose dapat dikembangkan sebagai deteksi formalin yang tepat, tidak melalui proses preparasi sample dan tidak merusak bahan makanan.Bertolak dari latar belakang tersebut, maka tujuan dari penelitian ini adalah untuk membangun enose sebagai instrument deteksi formalin yang tepat, mudah dioperasikan dan tanpa merusak objek penelitian. Rancang bangun enose deteksi formalin dibuat dengan cara perancangan modul elektronik dan sekaligus sistem klasifikasi aroma. Modul elektronik dirancang menggunakan board Arduino Uno R3, yang memakai chip ATMega 328. Sample odoran yang diujikan adalah tahu non formalin dan tahu berformalin. Formalin yang digunakan adalah formalin dengan kadar 70%, 35%, 21%, 7% dan 3%. Pada sistem klasifikasi aroma dilakukan dengan bahasa pemrograman matlab yang menggunakan metode ekstraksi ciri PCA. Hasilnya, pada grafik dua dimensi 66,67% aroma tahu dikenali oleh sistem.
Effective Haptic Rendering Method for Complex Interactions

The development of haptic technology is allowing the introduction of Virtual Reality systems as teaching and working tools into many fields such as engineering (Howard & Vance, 2007; Savall et al., 2002) or surgery (Basdogan et al., 2004; Li & Liu, 2006). Haptic devices allow users to interact with a certain environment, either remote or virtual, through the sense of touch, considerably enhancing interactivity. A haptic device is a mechanism that allows users to control the movements of a virtual tool or a real robot and receive tactile and kinesthetic information from the working environment (Fig. 1). The usability of these systems is conditioned by the quality of the haptic feedback applied to the user. Technologically, the computation of appropriate and realistic haptic stimuli continues to be a complicated issue. The human sensory-motor system demands a fast update rate (at least 1 kHz) for the haptic stimuli applied to the user in order to avoid instabilities in
Alcohol and Indian Youth: Social and Psychological Correlates and Prevention

This paper relates psychosocial correlates to prevention. Young native American heavy alcohol users (ages 12 to 16) were matched with non-users. Alcohol users did not have more emotional problems, did not experience less alienation, or did not feel less self-confident or less socially accepted than non-users, but did use other drugs and were more deviant. Alcohol users came more often from broken families, felt less family caring and had fewer family sanctions against substance use, had poorer school adjustment, had less hope for the future, and had friends encouraging alcohol and drug use. Prevention programs should start very early and should focus on increasing family strength, improving school adjustment, providing opportunities for the future, breaking up deviant peer clusters and building peer clusters that discourage alcohol and drug use.
Operational Device and Procedure to Test the Initial Dissolution Rate of Chemicals After Ship Accidents: the Cedre Experimental Column

This paper describes an experimental procedure recently developed to simulate and study the behaviour of various chemicals in seawater during their transfer in a 5 m deep water column. Since chemical pollution can be harmful to the environment, anticipating the evolution of a chemical spill is important for authorities, so that they can act rapidly and efficiently after a spill. In the case of a sunken wreck containing chemicals with a lower density than seawater in its leaking tanks, it could be useful to estimate the quantity of chemicals that should be found at the sea surface. On the other hand, in the case of a spill occurring at the sea surface, the mass of chemicals liable to sink and accumulate on the seabed without being dissolved during sinking is an important piece of information required to choose the most suitable response strategy.
Predicting disease phenotypes based on the molecular networks with Condition-Responsive Correlation

Network-based methods using molecular interaction networks integrated with gene expression profiles have been proposed to solve problems, which arose from smaller number of samples compared with the large number of predictors. However, previous network-based methods, which have focused only on expression levels of proteins, nodes in the network through the identification of condition-responsive interactions. We propose a novel network-based classification, which focuses on both nodes with discriminative expression levels and edges with Condition-Responsive Correlations (CRCs) across two phenotypes. We found that modules with condition-responsive interactions provide candidate molecular models for diseases and show improved performances compared conventional gene-centric classification methods.
Using Hash based Bucket Algorithm to Select Online Ontologies for Ontology Engineering through Reuse

web has added a new layer called the knowledge representation layer over the web that may be used to describe a resource on the web. Schemas of domains are represented in machine processable languages known as the ontologies over the semantic web. Construction of ontologies for the semantic web has become a relevant research issue. Ontology engineering has been focus of research in the field of AI since the 70's and with the rising number of ontologies on the web; it should be convenient to reuse these ontologies to build newer ones. In this paper a hash based bucket algorithm is presented for identification of relevant online ontologies, to create ontology that will represent a domain without having to go through building of ontology from the scratch thereby reducing the time, efforts and costs of ontology engineering.
Exploring the Contribution of Information Technology to Governance, Risk Management, and Compliance (GRC) Initiatives

Information technology (IT) has a tremendous impact on the discipline of accounting by introducing new ways of retrieving and processing information about performance deviations and control effectiveness. This paper explores the role of IT for managing organizational controls by analyzing value drivers for particular accounting information systems that commonly run under the label of Governance, Risk Management, and Compliance (GRC IS). We apply a grounded theory approach to structure the value drivers of GRC IS into a research framework. In order to understand the impact of IT, we relate the GRC IS value drivers to control theories. Practical implications include understanding GRC IS benefits beyond compliance and providing clear strategic reasoning for GRC IS depending on the individual company’s situation. Research implications include the fact that integrating IT into the context of accounting leaves several unsolved yet promising issues in theory which future research might address. This paper is the first to use the lens of organizational control theories on Governance, Risk Management, and Compliance information systems and establishes a potentially fruitful research agenda for GRC IS as a highly relevant topic for information systems research.
Using Topic Models to Assess Document Relevance in Exploratory Search User Studies

Evaluation is crucial in assessing the effectiveness of new information retrieval and human computer interaction techniques and systems. Relevance judgements are often performed by humans, which makes obtaining them expensive and time consuming. Consequently, relevance judgements are usually performed only on a subset of a given collection of data or experimental results with a focus on the top ranked documents. However, when assessing the performance of exploratory search systems, the diversity or subjective relevance of documents that the user was presented with over a search session are often of more importance than the relative ranking of top documents. In order to perform these types of assessment, all the documents in a given collection need to be judged for relevance. In this paper, we propose an approach based on topic modeling that can greatly accelerate document relevance judgment of an entire document collection with an expert assessor needing to mark only a small subset of documents from a given collection. Experimental results show a substantial overlap between relevance judgments compared to a human assessor.
Contracts, Information Persistence, and Renegotiation

This paper studies how renegotiation and information persistence shape long-term contracts in principal-agent relationships. Truthful contracts that are renegotiation-proof, according to a concept tailored to account for persistence in the agent’s type, are characterized by their sensitivity to the reports of the agent. The sensitivity of the optimal renegotiation-proof contract is increasing in information persistence and in the discount rate of the agent, and causes immiserization. Renegotiation-proof contracts are self-correcting o the equilibrium path. These results still hold when the agent is also subject to moral hazard. In that case, a lower cost of eort of the agent can reduce the payo of the principal by increasing the severity of the agency problem.
Understanding human values and their emotional effect

Emotions can be triggered by various factors. According to the Appraisal Theories (De Rivera, 1977; Frijda, 1986; Ortony et al., 1988; Johnson-Laird and Oatley, 1989) emotions are elicited and differentiated on the basis of the cognitive evaluation of the personal significance of a situation, object or event based on “appraisal criteria” (intrinsic characteristics of objects and events, significance of events to individual needs and goals, individual’s ability to cope with the consequences of the event, compatibility of event with social or personal standards, norms and values). These differences in values can trigger reactions such as anger, disgust (contempt), sadness, etc., because these behaviors are evaluated by the public as being incompatible with their social/personal standards, norms or values. Such arguments are frequently present both in mainstream media, as well as social media, building a society-wide view, attitude and emotional reaction towards refugees/immigrants. In this demo, I will talk about experiments to annotate and detect factual arguments that are linked to human needs/motivations from text and in consequence trigger emotion in the media audience and propose a new task for next year’s WASSA.
[Treatment of gastroduodenal ulcer with ulcosilvanil].

: Ulcosilvanil" (Romanian registered mark), administered in duodenal and gastric ulcer patients, leads to a constant and long-lasting inhibition of gastric acid secretion, consequently to disappearance of subjective symptoms as well as to radiologically and endoscopically proved healing of the crater. The high percentage and the quick ulcer healing by "Ulcosilvanil", as compared with antacid and anticholinergic therapy or with H2-receptor blocking agents, prove the outstanding therapeutical value of the former.
Artificial Neural Network Model for Friction Stir Processing

Friction stir processing (FSP) is an effective means of refining grain size of aluminum alloys. An artificial neural network model (ANN) is made for predicting the grain size of alloys which are processed by FSP. The simulated results from the model show how grain size varies with the process parameters. Keywords—Friction stir processing, ANN, grain size, grain refinement
Adoption of Technology Acceptance Model (TAM) to Electronic Commerce: A Statistical Meta-Analysis Approach

The purpose of this study is to statistically synthesize the results reported in a large body of literature concerning consumer acceptance of E-commerce technologies. Specifically, we adopted statistical Meta-Analysis methods in the area of E-commerce. Existing quantitative statistical findings of multiple studies were combined and standardized into one matrix to amalgamate and validate the constructs of the E-commerce Technology Acceptance Model (ECTAM). The results showed the selected 39 studies for the Meta-Analysis were homogenous and their existing findings were statistically combinable. In addition, the results did not suffer from a publication bias problem except for one tested relationship (Perceived Usefulness and User Attitude). The results indicated the most important factor affected user attitude and system level of usage is system usefulness. System ease of use comes second in place affecting attitude and level of usage; however it had a large effect in improving system usefulness.
A multiple-path TCP congestion control algorithm based on subflow correlation matrix

Due to the connection with multipath transport control protocol (MPTCP) cannot utilize network resources sufficiently over the unshared bottleneck link, this paper proposes a congestion control algorithm based on the subflow correlation matrix (established by packet loss and RTT information) which is used to detect the status of bottleneck link among subflows by correlation coefficient. Then it performs different congestion control strategies over shared and unshared bottleneck links by adopting fairness definition based on bottleneck link. The results show that the proposed subflow correlation matrix can be used to detect shared bottleneck subflows more accurate and improve overall throughput of MPTCP connection.
Analysis of muscle creatine kinase gene regulatory elements in skeletal and cardiac muscles of transgenic mice

Regulatory regions of the mouse muscle creatine kinase (MCK) gene, previously discovered by analysis in cultured muscle cells, were analyzed in transgenic mice. The 206-bp MCK enhancer at nt-1256 was required for high-level expression of MCK-chloramphenicol acetyltransferase fusion genes in skeletal and cardiac muscle; however, unlike its behavior in cell culture, inclusion of the 1-kb region of DNA between the enhancer and the basal promoter produced a 100-fold increase in skeletal muscle activity. Analysis of enhancer control elements also indicated major differences between their properties in transgenic muscles and in cultured muscle cells. Transgenes in which the enhancer right E box or CArG element were mutated exhibited expression levels that were indistinguishable from the wild-type transgene. Mutation of three conserved E boxes in the MCK 1,256-bp 5' region also had no effect on transgene expression in thigh skeletal muscle expression. All these mutations significantly reduced activity in cultured skeletal myocytes. However, the enhancer AT-rich element at nt - 1195 was critical for expression in transgenic skeletal muscle. Mutation of this site reduced skeletal muscle expression to the same level as transgenes lacking the 206-bp enhancer, although mutation of the AT-rich site did not affect cardiac muscle expression. These results demonstrate clear differences between the activity of MCK regulatory regions in cultured muscles cells and in whole adult transgenic muscle. This suggests that there are alternative mechanism of regulating the MCK gene in skeletal and cardiac muscle under different physiological states.
Principles underlying energetic coupling along an allosteric communication trajectory of a voltage-activated K+ channel

The information flow between distal elements of a protein may rely on allosteric communication trajectories lying along the protein's tertiary or quaternary structure. To unravel the underlying features of energy parsing along allosteric pathways in voltage-gated K+ channels, high-order thermodynamic coupling analysis was performed. We report that such allosteric trajectories are functionally conserved and delineated by well defined boundaries. Moreover, allosteric trajectories assume a hierarchical organization whereby increasingly stronger layers of cooperative residue interactions act to ensure efficient and cooperative long-range coupling between distal channel regions. Such long-range communication is brought about by a coupling of local and global conformational changes, suggesting that the allosteric trajectory also corresponds to a pathway of physical deformation. Supported by theoretical analyses and analogy to studies analyzing the contribution of long-range residue coupling to protein stability, we propose that such experimentally derived trajectory features are a general property of allosterically regulated proteins.
Living a Meaningful Life With Serious Mental Illness: Defining and Understanding Personal Medicine

Objective: Shared decision making (SDM) is an approach adapted from the health care field for use in mental health treatment because SDM promotes collaborative decision making of providers and consumers regarding treatment options and goals. Personal medicine, defined as “self-initiated, non-pharmaceutical self-care activities that serve to decrease symptoms, avoid undesirable outcomes such as hospitalization, and improve mood, thoughts, behaviors, and overall sense of well-being” (Deegan, 2005, p. 31), has been incorporated into SDM when applied in mental health settings. This exploratory, qualitative study investigates how mental health consumers define and use personal medicine. Method: A sample of 14 consumers with severe and persistent mental illness were selected from a local community mental health agency using purposeful sampling. Participants used Common Ground, a software program that formalizes SDM and uses the concept of personal medicine. Participants were interviewed using a naturalistic inquiry approach and a semi-structured interview protocol of open-ended questions. Interviews were transcribed and coded, and findings were corroborated with consultant panels. Comprehensive member checks ensured trustworthiness. Results: Personal medicine might be a larger concept than can be explained by any single modality. Several factors contribute to the use of personal medicine, including the individualization of personal medicine by consumers, how consumers define the concept of personal medicine, and the purposes and benefits of personal medicine. Conclusions: Participants report personal medicine to have benefit, value, and purpose that impact recovery. These findings support current literature and practical implications that might inform the ways in which professionals use personal medicine.
Effect of cryogenic deformation on microstructure and critical current density in Ag/Bi-2223 tapes

The effect of deformation rate and silver hardness on J/sub c/ and microstructure of Ag/Bi-2223 tapes was studied under cryogenic processing conditions. It was found that cryogenic deformation improved the grain connectivity, alignment, Ag/core interface and critical current density. These benefits may be attributable to the increased extent of mechanical deformation. The hardness of the silver sheath during cryogenic mechanical deformation was significantly increased, allowing for a much larger load to be applied during the deformation process comparing to the mechanical deformation at room temperature. The maximum J/sub c/ appeared at a 20% reduction rate of the tape thickness for cryogenically processed Ag/Bi-2223 tape. Higher deformation rate decreases J/sub c/ for cryogenically processed Ag/Bi-2223 tape which can be explained by the results of TEM examination. TEM images show that the sample having low J/sub c/ had many small grains with large angle grain boundaries after recrystallisation when a high rate of thickness reduction (58%) was applied during the process, while the sample having high J/sub c/ had large grains with many small angle c-axis twist grain boundaries and small angle tilt grain boundaries when 19% of thickness reduction was applied during the process.
Gas classification using binary decision tree classifier

Gas classification with an array of sensors is challenging for real life applications due to the limited amount of available training data of gases. Different pattern recognition algorithms are successfully used for gases identification, but their performance is degraded when the training and testing of these algorithms is done with different concentrations data. In this paper, we are using a binary decision tree approach for gas classification, and we are considering difference in the sensitivities of the sensors in every pair of a multi-sensor array as an input attribute for the tree. Suitable pairs of sensors are found by exploring their capability to split the available gases data samples at the decision node of the tree into two branches. A distance metric is used to select a single sensor pair in the case of more than one pair of sensors for the gases distribution at the decision node. The selected pairs of sensors learned during the training phase at the decision nodes are applied on the test data vectors. The effectiveness of our algorithm is successfully verified on the acquired data set with an array of seven metal oxide gas sensors for five different gases.