Miracle-dz/UniFAR-FTUs huggingface dataset:
Kajian Teori Nilai Konsumsi Terhadap Pembelian Barang Virtual Pada Game Online F2p Moba

Tujuan dari penelitian ini adalah untuk menganalisa motif pemain melakukan pembelian virtual goods pada permainan game online F2P MOBA. Penelitian didasarkan pada variabel nilai konsumsi berupa satisfaction, character identification, functional value, social value, emotional value (character competency value, price utility, functional utility, playfulness, aesthetics, social self image, social relationship). Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian deskriptif. Cara menarik sampel menggunakan metode nonprobability sampling dan jenis metode yang digunakan untuk mengambil sampel adalah purposive sample, dengan mengambil 384 responden yang pernah membeli barang virtual. Metode pengumpulan data menggunakan kuisioner dan wawancara. Adapun teknik wawancara pada penelitian ini yaitu menggunakan teknik in-depth interview. Wawancara dilakukan oleh dua responden yang pernah membeli virtual goods. Metode analisis penelitian ini adalah statistik deskriptif yang berupa angka-angka yang dianalisis menggunakan tabel distribusi frekuensi, rata-rata, dan persentase. Kesimpulan dari hasil penelitian menunjukkan bahwa, pemain game online memiliki dorongan yang tinggi pada saat melakukan pembelian virtual goods. Mereka mengetahui bahwa karakter dalam permainan game online memiliki bentuk / style yang kurang sesuai dengan keinginan mereka, sehingga mereka melakukan pembelian guna meningkatkan status karakter mereka dalam permainan game online. Pemain game online juga melewati berbagai proses pembelian seperti, pengenalan kebutuhan, mencari informasi, evaluasi alternatif, dan mengalami disonansi kognitif setelah melakukan pembelian virtual goods. Kata kunci: Komunitas online, game online, teori nilai konsumsi, analisis deskriptif
Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment

Technological developments and greater rigor in the quantitative measurement of biological features in medical images have given rise to an increased interest in using quantitative imaging biomarkers to measure changes in these features. Critical to the performance of a quantitative imaging biomarker in preclinical or clinical settings are three primary metrology areas of interest: measurement linearity and bias, repeatability, and the ability to consistently reproduce equivalent results when conditions change, as would be expected in any clinical trial. Unfortunately, performance studies to date differ greatly in designs, analysis method, and metrics used to assess a quantitative imaging biomarker for clinical use. It is therefore difficult or not possible to integrate results from different studies or to use reported results to design studies. The Radiological Society of North America and the Quantitative Imaging Biomarker Alliance with technical, radiological, and statistical experts developed a set of technical performance analysis methods, metrics, and study designs that provide terminology, metrics, and methods consistent with widely accepted metrological standards. This document provides a consistent framework for the conduct and evaluation of quantitative imaging biomarker performance studies so that results from multiple studies can be compared, contrasted, or combined.
Contractible contracts in common agency problems

This article analyses contractual situations between many principals and many agents. The agents have private information, and the principals take actions. Principals have the ability to contract not only on the reports of the agents but also on the contracts offered by other principals. Contracts are required to be representable in a formal language. The main result of the article is a characterization of the allocations that can be implemented as equilibria in our contracting game. We then restrict attention to exclusive-contracting environments, in which the agent may select the contract of at most one principal. In this setting, our characterization result implies that principals can collude to implement the monopolist outcome. Finally, in general, equilibrium contracts turn out to be incomplete. That is, a contract will restrict the action space of a principal but will not necessarily determine a single action.
Combining Rule-based and Statistical Methods for Named Entity Recognition in Portuguese

We present and discuss a tool for the recognition of expressions for named entities in Portuguese that resorts to a rule-based approach when dealing with numbers, measures, time and addresses, and uses a hybrid approach when dealing with names. The expressions for named entities are delimited and semantically classified by a XML-like markup. Evaluation results are presented.1
Improved Research to K-means Initial Cluster Centers

K-means in the field of clustering analysis algorithms is a kind of more traditional algorithm. It exists many shortcomings. For example, K value is easily affected by man-made subjective factors, and the algorithm is easy to fall into a local optimal solution, and the clustering result is not stable, etc, And K-means++ algorithm as the classic improved algorithm of K-means algorithm, but there is still a phenomenon of unstable cluster center. This paper is a kind of improvement aimed at the shortcoming of K-means++ algorithm, which introduces the concept of the variance in probability and mathematical statistics. Variance reflects the degree of density between samples and other samples. In the K-means++ algorithm when you select the first initial clustering center, you need to select minimum variance of sample points, which is in the position of the largest sample density, then you select the next cluster centers based on the weight method of D2 which is described in the K-means++ algorithm. Experimental results show the accuracy is higher and stability is better.
An Affordance-Based Product Shape Design Method

Product shape is the key information carrier in the communication between consumer and product. To investigate shape characteristics and user's function judgment to the product and meet the requirements for functionality and aesthetic of product shape, an affordance-based product shape design method is proposed. Based on the analysis on the relationship among functionality, component, shape and affordance, a hierarchical model of product shape design property is presented, an affordance-based product shape vaccine abstraction method is proposed, and the adaptive immune genetic algorithm is used to build innovative design. According to this method, a Computer-Aided Intelligent Product Design System (CAIPDS) was implemented as a prototype. By applying it to the design of the cup, the affordance and its corresponding vaccines are constructed, and the shape design could be generated and evaluated rapidly. The result of design is satisfying and the proposed affordance-based product shape design method was verified.
ADP-Ribosylation: Activation, Recognition, and Removal

ADP-ribosylation is a type of posttranslational modification catalyzed by members of the poly(ADP-ribose) (PAR) polymerase superfamily. ADP-ribosylation is initiated by PARPs, recognized by PAR binding proteins, and removed by PARG and other ADP-ribose hydrolases. These three groups of proteins work together to regulate the cellular and molecular response of PAR signaling, which is critical for a wide range of cellular and physiological functions.
Identifying sequential redundancies without search

Previous solutions to the difficult problem of identifying sequential redundancy are either based on incorrect theoretical results, or rely an unrealistic simplifying assumptions, or are applicable only to small circuits. In this paper we show the limitations of the existing definitions of sequential redundancy and introduce a new concept of c-cycle redundancy as a generalization of the conventional notion of sequential redundancy. We present an efficient algorithm, FIRES, to identify c-cycle redundancies without search. FIRES does not assume the existence of a global reset nor does it require any state transition information. FIRES has provably polynomial-time complexity and is practical for large circuits. Experimental results on benchmark circuits indicate that FIRES identifies a large number of redundancies. We show that, in general, the redundant faults identified by FIRES are not easy targets for state-of-the-art sequential rest generators.
A pre-emptive traffic model with cluster-based TDMA for vehicular networks

The IEEE 802.11p is a standard in a vehicular communication system, known as Wireless Access in Vehicular Environment (WAVE). An implementation of that standard as the MAC Protocol in a high-density of nodes in Vehicular Ad-Hoc Networks (VANETs) may create a performance drawback, in particular for packet loss and delay whenever collisions happened. Introducing Time Division Multiple Access (TDMA) schemes can improve the performance. However, TDMA scheduling is difficult to manage in the case of high-density of traffic, the high mobility of vehicles, and dynamic network topology. This paper proposes a clustered-based TDMA by traffic priority in VANETs. The clustered traffic is defined as high and low traffic priority and embedded in TDMA MAC Header. The evaluation result obtained through NS3 Simulator shows that the proposed approach performed better in a high-density of nodes.
SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications

As more clinical information with increasing diversity become available for analysis, a large number of features can be constructed and leveraged for predictive modeling. Feature selection is a classic analytic component that faces new challenges due to the new applications: How to handle a diverse set of high dimensional features? How to select features with high predictive power, but low redundant information? How to design methods that can select globally optimal features with theoretical guarantee? How to incorporate and extend existing knowledge driven approach? In this paper, we present Scalable Orthogonal Regression (SOR), an optimization-based feature selection method with the following novelties: 1) Scalability: SOR achieves nearly linear scale-up with respect to the number of input features and the number of samples; 2) Optimality: SOR is formulated as an alternative convex optimization problem with theoretical convergence and global optimality guarantee; 3) Low-redundancy: thanks to the orthogonality objective, SOR is designed specifically to select less redundant features without sacrificing quality; 4) Extendability: SOR can enhance an existing set of preselected features by adding additional features that complement the existing feature set but still with strong predictive power. We present evaluation results showing that SOR consistently outperforms state of the art feature selection methods in a range of quality metrics on several real world data sets. We demonstrate a case study of a large-scale clinical application for predicting early onset of Heart Failure (HF) using real Electronic Health Records (EHRs) data of over 10K patients for over 7 years. Leveraging SOR, we are able to construct accurate and robust predictive models and derive potential clinical insights. Comp Sci. &Eng. Dept, University of Texas at Arlington IBM T. J. Watson Research Lab
Fault Tolerance in Mobile Ad hoc Networks

Mobile Ad hoc Networks provide flexibility and sca lability which was not taken into consideration by the existing distributed systems. These networks are distributed networks and do not require any ex isting infrastructure. But in these types of networks ther e occurs some problems among which one may be occurring of fault. This may occur due to link failure, failu re of nodes or network. We illustrate the solution for maintaining link connectivity even if the links to be used fails. A modified fault tolerance global sp anning subgraph algorithm is determined which proves k-connectivity. This algorithm helps to form the minimum spanning tree considering the probability distribut ion function as edge weights in case the minimum weight edge to be added fails. This paper illustrates the way t o toleratefault using modified global spanning subg raph algorithm and tested the performance of the propose d algorithm using NS-2 simulation. Index Terms-Mobile Ad hoc Networks; Fault tolerance; K-connectivity; minimum spanning tree.
Microbial communities responsible for fixation of CO2 revealed by using mcrA, cbbM, cbbL, fthfs, fefe-hydrogenase genes as molecular biomarkers in petroleum reservoirs of different temperatures

Abstract. Sequestration of CO2 in oil reservoir is one of the feasible options for mitigating atmospheric CO2 building up. The in situ bioconversion of sequestrated CO2 to methane by microorganisms inhabiting oil reservoirs is feasible. To evaluate the potential of in situ microbial fixation and conversion of CO2 into CH4 in oil reservoirs, a comprehensive molecular survey was performed to reveal microbial communities inhabiting four oil reservoirs with different temperatures by analysis of functional genes involved in the biochemical pathways of CO2 fixation and CH4 synthesis (cbbM, cbbL, fthfs, [FeFe]-hydrogenase encoding gene, and mcrA). A rich diversity of these functional genes was found in all the samples with both high and low temperatures and they were affiliated to members of the Proteobacteria (cbbL and cbbM, fthfs), Firmicutes and Actinobacteria (fthfs), uncultured bacteria ([FeFe]-hydrogenase), and Methanomirobiales, Methanobacteriales and Methanosarcinales (mcrA). The predominant methanogens were all identified to be hydrogenotrophic CO2-reducing physiological types. These results showed that functional microbial communities capable of microbial fixation and bioconversion of CO2 into methane inhabit widely in oil reservoirs, which is helpful to microbial recycling of sequestrated CO2 to further new energy in oil reservoirs.
Measuring the Entropy and Testing the Second Law of Thermodynamics

Evidence implies that basic laws of thermodynamics must be tested by experiments. In this paper, an experiment is designed to measure the entropy of a system with at least one known (measurable) equation of state, especially the gas systems. Since the entropy can be measured now, the formulae related to the second law of thermodynamics can be examined by other experiments.
Ocean Sequestration Carbon Sequestration Research and Development Ocean Sequestration

The ocean represents a large potential sink for sequestration of anthropogenic CO 2 emissions. Although the long-term effectiveness and potential side effects of using the oceans in this way are unknown, two methods of enhancing sequestration have been proposed: • the direct injection of a relatively pure CO 2 stream that has been generated, for example, at a power plant or from an industrial process (see Sect. 3.1) • the enhancement of the net oceanic uptake from the atmosphere, for example, through iron fertilization (see Sect. 3.2) Other pathways are also possible but may require longer time frames to be developed (see Sect. 3.3). For a given pathway, our goal is to analyze the tradeoffs among cost, long-term effectiveness, and changes to the ocean ecosystem. On average, the ocean is about 4000 m deep and contains 40,000 GtC (IPCC 1996). It is made up of a surface layer (nominally 100 m thick, but the depth varies), a thermocline (down to about 1000 m deep) that is stably stratified, and the deep ocean below 1000 m. Its waters circulate between surface and deep layers on varying time scales from 250 years in the Atlantic Ocean to 1000 years for parts of the Pacific Ocean. The amount of carbon that would cause a doubling of the atmospheric concentration would change the deep ocean concentration by less than 2%. Currently, net oceanic uptake of 2 ± 0.8 GtC/ year 1 results from the increase in V ision ision ision ision ision 3 3 3 3 3 By 2025, develop (1) the technology to implement ocean sequestration of CO 2 , (2) the knowledge to understand its effects on marine ecosystems and on the ocean's biogeochemical cycles, and (3) the modeling tools to determine the long-term fate of sequestered CO 2 .
Requirements for Groupware Calendar Systems (GCS): Addressing Social Relationships

This paper challenges the generic single conceptual viewpoint that designers have of groupware and specifically Groupware Calendar Systems (GCS). From the analysis of interviews, we categorized different calendar usage and activity that distinguish between the ‘Private Calendar’, the ‘Public Calendar’ and the ‘Shared Calendars’. Based on this categorization, we identified the dynamic relationship found in scheduling activity. The rationale stems from the growing use of web-based technology as integrated web programs that are facilitating new and different forms of collative team working. The purpose of this paper is to explore the weakness found in the ‘current’ GCS, ‘Deterministic’ position, further we go on to articulate the basis of an alternative approach, ‘Social Technological Teamwork’.
Space-Time Transmit Code and Receive Filter Design for Colocated MIMO Radar

This paper deals with the design of multiple-input multiple-output radar space-time transmit code (STTC) and space-time receive filter (STRF) to enhance moving targets detection in the presence of signal-dependent interferences. An iterative procedure, whose convergence is analytically proved, is devised to maximize the Signal to interference plus noise ratio (SINR) accounting for both a similarity constraint and a constant modulus requirement on the probing waveform. Each iteration of the algorithm involves the solution of hidden convex problems. Specifically, both a convex problem (whose solution is provided in closed form) and a set of fractional programming problems, that can be globally solved in polynomial time via the Dinkelback's procedure, are settled. The computational complexity is linear with the number of iterations and polynomial with the sizes of the STTC and the STRF. In particular, the proposed technique provides a monotonic SINR improvement without limitations on the size of the similarity constraint and ensures convergence to a stationary point filling these important gaps in the open literature. Besides, the reported results highlight that the new devised procedure outperforms both in the optimized SINR value and the computational complexity than the available counterparts.
Canonical Quantization of Two Dimensional Gauge Fields

SU(N) gauge fields on a cylindrical space-time are canonically quantized via two routes revealing almost equivalent but different quantizations. After removal of all continuous gauge degrees of freedom, the canonical coordinate Aµ (in the Cartan subalgebra ) is quantized. The compact route, as in lattice gauge theory, quantizes the Wilson loop W, projecting out gauge-invariant wave functions on the group manifold G. After a Casimir energy related to the curvature of SU(N) is added to the compact spectrum, it is seen to be a subset of the noncompact spectrum. States of the two quantizations with corresponding energy are shifted relative to each other, such that the ground state on G, χ0(W), is the first excited state Ψ1(Aµ) on . The ground state Ψ0(Aµ) does not appear in the character spectrum, as its lift is not globally defined on G. Implications for lattice gauge theory and the sum-over-maps representation of two-dimensional QCD are discussed.
Linear and dynamical stability of Ricci-flat metrics

We can talk about two kinds of stability of the Ricci flow at Ricci flat metrics. One of them is a linear stability, defined with respect to Perelman's functional $\mathcal{F}$. The other one is a dynamical stability and it refers to a convergence of a Ricci flow starting at any metric in a neighbourhood of a considered Ricci flat metric. We show that dynamical stability implies linear stability. We also show that a linear stability together with the integrability assumption imply dynamical stability. As a corollary we get a stability result for $K3$ surfaces part of which has been done in \cite{dan2002}.
Cultural differences in scene perception

Do individuals from different cultures perceive scenes differently? Does culture have an influence on visual attention processes? This thesis investigates not only what these influences are, and how they affect eye movements, but also examines some of the proposed mechanisms that underlie the cultural influence in scene perception. Experiments 1 & 2 showed that Saudi participants directed a higher number of fixations to the background of images, in comparison to the British participants. British participants were also more affected by background changes, an indication of their tendency to bind the focal objects to their contexts. Experiments 3 & 4 revealed a higher overall number of fixations for Saudi participants, along with longer search times. The intra-group comparisons of scanpaths for Saudi participants revealed less similarity than within the British group, demonstrating a greater heterogeneity of search behaviour within the Saudi group. These findings could indicate that the British participants have the advantage of being more able to direct attention towards the goals of the task. The mechanisms that have been proposed for cultural differences in visual attention are due to particular thinking styles that emerge from the prevailing culture: analytic thinking (common in individualistic cultures) promotes attention to detail and a focus on the most important part of a scene, whereas holistic thinking (common in collectivist cultures) promotes attention to the global structure of a scene and the relationship between its parts. Priming methodology was used in Experiments 5, 6 & 7 to cue these factors, although it did not reveal any significant effects on eye movement behaviours or on accuracy at recognition of objects. By testing these explanations directly (Experiment 8), findings have mainly suggested the holistic-analytic dimension is one of the main mechanisms underlying cultural diversity in scene perception. Taken together, these experiments conclude that the allocation of visual attention is also influenced by an individual’s culture.
Phasic Emotional Reactions to Video Game Events: A Psychophysiological Investigation

We examined emotional valence- and arousal-related phasic psychophysiological responses to different video game events among 36 young adults who played Super Monkey Ball 2 (Sega Corporation, Tokyo, Japan). Event-related changes in zygomaticus major, corrugator supercilii, and orbicularis oculi electromyographic activity, skin conductance level, and cardiac interbeat intervals were recorded. Instantaneous game events elicited reliable psychophysiological responses indexing valence and arousal. A largely linear, positive dose-response relationship between rewards obtained in the game and phasic increases in arousal was revealed. The valence of the emotional response varied as a function of the player's active participation (active coping). In addition, not only positive events, but also some putatively negative events elicited positively valenced arousal. The findings extend our understanding of the phasic changes in the emotional state during video games and a dynamic flow of events and action and may have several applied implications (e.g., for game design).