Miracle-dz/UniFAR-FTUs huggingface dataset:
The Taxonomy, Model and Message Strategies of Social Behavior

In an era of rising social awareness, both academics and practitioners have been concerned about the effectiveness of pro-social consumer influence strategies. The main assumption here is that for social marketing to succeed one must first understand the factors underlying pro-social consumer behavior. Firstly, drawing on two dimensions (i.e. the welfare receiver and restitution intention) the authors first identify four types of social behavior (altruism, compensation, reciprocity, and egoism). Next, the model describes social behavior as a result of preceding social behavior motivation and actual social behavior intention. Norms and economic evaluation have an impact on social behavior motivation, which in turn influences social behavior intention, eventually leading to actual social behavior. Actual control factors, such as the availability of resources and opportunities, decide whether social behavior intention can really translate into actual social behavior. Finally, authors propose message strategies (incorporating message appeal, message frame and central/peripheral processing) for each type of social behavior.
A comparison of the Charlson comorbidities derived from medical language processing and administrative data

The objective of this study was to develop a medical language processing (MLP) system, which consisted of MedLEE and a set of inference rules, to identify 19 Charlson comorbidities from discharge summaries and chest x-ray reports. We used 233 cases to learn the patterns that were indicative of comorbidities for developing the inference rules. We then used an independent data set of 3,662 pneumonia patients to identify comorbidities by MLP compared with administrative data (ICD-9 codes). A stratified random sample of 190 records from disagreement cases was manually reviewed. The sensitivity, specificity, and accuracy for the MLP system/ICD-9 codes in this testing set were 0.84/0.16, 0.70/0.30, and 0.77/0.23 respectively. Thirteen of the 19 comorbidities studied were underreported in the administrative data. The kappa values ranged from 0.19 for peptic ulcer to 0.70 for lymphoma. We conclude that comorbidities derived from natural language processing of medical records can improve ICD-9-based approaches.
IRVE-Serve: a visualization framework for spatially-registered time series data

Scientists regularly confront situations where they are trying to understand large quantities of information, that vary over time and space. Analyzing such systems where structure and function are related is still a challenge despite the continued improvement of visualization tools and techniques. Given the spatial basis of many simulations, Information Rich Virtual Environments (IRVEs) can be a successful way of presenting heterogeneous information in an intuitively comprehensible form. In this paper we describe the evolution of a web-based IRVE delivery system for simulation data. Our framework decouples geometry, the underlying data set, and the expressive repertory for information display. This allows us to incorporate domain-specific information while providing for easy retargeting of the information displayed in that domain. As a result of these abstractions, we are able to continually expand and improve our visual mappings and components and finally apply our framework in a completely unrelated domain.
Character Adaptation Systems Theory: A New Big Five for Personality and Psychotherapy

Although personality theory and psychotherapy were originally closely linked, the past several decades have witnessed surprising gaps between these domains. This article seeks to close that gap via character adaptation systems theory (CAST), which is a formulation derived from Henriques's (2011) unified approach to psychology that links recent developments in personality theory with integrative visions of psychotherapy via the explication of 5 systems of character adaptation: (a) the habit system, (b) the experiential system, (c) the relationship system, (d) the defensive system, and (e) the justification system. This article delineates the nature of these systems of adaptation and how they connect to modern personality theory and the major systems of individual psychotherapy, as well as how they relate to important domains in human psychology and can be applied in the context of psychotherapy.
Robust stability of time-variant discrete-time systems with bounded parameter perturbations

In this paper, global asymptotic stability of linear, time-variant, finite dimensional, zero input difference equations is investigated. We propose a technique that may be utilized to obtain regions of asymptotic stability in the coefficient space that incorporate information regarding the maximum rate of change of system parameters. Use of different matrix norms provide different "shapes" for the maximum allowable coefficient perturbations. >
Event and Event Actor Alignment in Phrase Based Statistical Machine Translation

This paper proposes the impacts of event and event actor alignment in English and Bengali phrase based Statistical Machine Translation (PB-SMT) System. Initially, events and event actors are identified from English and Bengali parallel corpus. For events and event actor identification in English we proposed a hybrid technique and it was carried out within the TimeML framework. Events in Bengali are identified based on the concept of complex predicate structures. There can be one-to-one and one-to-many mappings between English and Bengali events and event actors. We preprocess the parallel corpus by single tokenizing the multiword events and event-actors which reflects some significant gain on the PB-SMT system. We represent a hybrid alignment approach of events and event-actors in both English-Bengali training corpus by defining a rule based aligner and a statistical hybrid aligner. The rule base aligner assumes a heuristic that the sequence of events and event actors on the source (English) side are also maintained in the target (Bengali) side. The performance of PB-SMT system could vary depending on the number of events and event-actors that are identified in the parallel training data. The proposed system achieves significant improvements (5.79 BLEU points absolute, 53.02% relative improvement) over the baseline system on an English-Bengali translation task.
High Capacity Secure Image Steganography Based on Contourlet Transform

In this paper we propose an image steganography technique which embeds secret data without making explicit modifications to the image. The proposed method simultaneously provides both imperceptibility and undetectability. We decompose image by contourlet transform and determine nonsmooth regions. Embedding data in these regions cause less degradation in image quality. Contourlet sub-bands are divided into 3×3 blocks. Central coefficient of each block is considered for embedding if they belong to edgy regions. Experiments show that this method can achieve high embedding capacity while remains undetectable by Farid`s universal steganalysis technique.
Understanding the problem of cultural non-participation : discursive structures, articulatory practice and cultural domination

This thesis employs a discursive methodology to analyse the policy problem of cultural non-participation. In so doing it seeks to answer the questions of what the problem is, why a problem exists, and what the existence of the problem does ‘in the real’ (Bacchi, 2009). The study draws on primary data generated in the form of policy texts, speeches and 42 in-depth qualitative interviews with individuals working in or for publicly funded cultural organisations in Scotland. Employing the methodological approach of problematisation (Foucault, 2003a [1981]), the study offers a close analysis of the discursive logics upon which the construction of the problem relies. In so doing it is asserted that the problem construction functions as an articulatory practice (Laclau & Mouffe, 1985) that not only constitutes and organizes social relations but also supports asymmetric relations of power and allows inequality in society to be represented as both inevitable and sensible (Ranciere, 2004). Beginning with a discussion of how cultural participation has been constructed as an object of enquiry, the thesis moves on to consider how cultural non-participation is constructed as a problem across the discursive planes of politics and professional practice. Having made visible the discursive logics of the problem construction, the discussion then examines the contingent historical conditions under which the existence of certain subjects, objects, and the intelligible relations between them became possible. Arguing that the Arts should be understood as a discursive institution, it is proposed that the subject identity of the non-participant is not only a necessary part of the discursive logic of this institution, but also provided the ideal boundary object (Star and Griesemer, 1989) around which the legitimacy of the relationship between the Arts and the state could, in part, be based. Drawing on the work of Jacques Ranciere (1991; 2004; 2004), it is argued that the manner in which those labelled as non-participants are subjectified obscures their agency and in so doing suppresses their capacity to speak within the field of cultural policy. As such, the field of cultural policy remains characterized by asymmetric relations of power and dominated by those who lay claim to the discursive identity of cultural professionals. The result is state subsidised practices that while doing little to influence individual patterns of behavior, through performing inclusion and equality contribute to the maintenance of a status-quo in which state support will only be provided to individuals who accept the values of those who exercise the most power in the field.
Social Recommendation System for Digital Markets and Multiple User Recognition

Currently, shopping habits of customers are need based. The general process of buying a product involves considerable research into the products in consideration, followed by a monotonous purchase of the ﬁnalized product from an e-commerce website. This research involves watching video reviews, reading customer feedback and ratings, etc. A new way of providing recommendations with increased level of trust and providing a higher level of conﬁdence in discovery of new products to customers is proposed. The second part of this project focuses on recognizing diﬀerent users accessing a single account to provide more personalized results, research the eﬀects and solutions for the same, and
Squamous Cell Carcinoma in Exstrophy of the Bladder

Exstrophy of the bladder is a rare congenital anomaly with an incidence of about 1 per 50,000 newborns. The malignant potential of the exstrophied bladder mucosa is well known; 95% are adenocarcinomas, and 3% to 5% are squamous cell carcinomas. Most of the malignant tumors (60%) associated with an exstrophy of the bladder occur during the fourth and fifth decades of life. Of the remaining, about 20% each occur after 60 years and before 40 years. Here we present a case in which squamous cell carcinoma developed in an unrepaired exstrophy of the bladder. We present the management of the case and a brief review of the literature.
A decentralized optimization method for energy saving of HVAC systems

Improving the control strategy of building HVAC (heating, ventilation, and air-conditioning) systems can lead to significant energy savings while preserving human comfort requirements. This paper proposes a decentralized optimization method for optimal setpoint control for HVAC system energy saving. The HVAC system is divided into multiple subsystems and a decentralized optimization algorithm is introduced based on the local information. With limited knowledge of its neighboring subsystems, each subsystem can achieve the local/global optimal solution of the original optimization problem, which may be nonconvex and includes both discrete and continuous decision variables. Simulation results demonstrate the effectiveness of the proposed method.
Architecture agnostic energy model for GPU-based design

Since 3D graphic applications have reached mobile devices and known a tremendous expansion, graphic processors' power consumption has become a major challenge in mobile SoC design. We propose a high-level hardware agnostic model endorsed by GPU energy consumption measurements under specific 3D graphic applications running. The modeling method comprises of two phases where the first phase is GPU hardware dependent, whereas the second phase takes graphics API trace information only per a target application. Our model shows an average relative error as small as -5.43% in a run-time of 2 seconds for the well-known benchmark glmark2.
The agreeable bureaucrat: personality and PSM

Purpose The purpose of this paper is to explore the extent to which public service motivation (PSM) can be explained by the big five personality factors. Design/methodology/approach Original data are gathered from two online surveys of public service professionals from across the USA. The two surveys employ the same measures of personality traits but different measures of PSM. This was done to test the generalizability of the findings across different operationalization of PSM. Findings The big five personality factors explain a large share of the variance in PSM, above and beyond basic demographic factors (sex, age and race). Agreeableness has the most consistent association with PSM. Extroversion, conscientiousness, and openness to experience also display positive associations with at least some measures and dimensions of PSM. Research limitations/implications The two surveys involved somewhat small, non-probability samples of public service professionals. Additional research is needed to confirm the generalizability of these findings. Originality/value This study contributes to both the theoretical and empirical understanding of the origins of PSM.
Tracking the Evolution of Infrastructure Systems and Mass Responses Using Publically Available Data

Networks can evolve even on a short-term basis. This phenomenon is well understood by network scientists, but receive little attention in empirical literature involving real-world networks. On one hand, this is due to the deceitfully fixed topology of some networks such as many physical infrastructures, whose evolution is often deemed unlikely to occur in short term; on the other hand, the lack of data prohibits scientists from studying subjects such as social networks that seem likely to evolve on a short-term basis. We show that both networks—the infrastructure network and social network—are able to demonstrate evolutionary dynamics at the system level even in the short-term, characterized by shifting between different phases as predicted in network science. We develop a methodology of tracking the evolutionary dynamics of the two networks by incorporating flows and the microstructure of networks such as motifs. This approach is applied to the human interaction network and two transportation networks (subway and taxi) in the context of Hurricane Sandy, using publically available Twitter data and transportation data. Our result shows that significant changes in the system-level structure of networks can be detected on a continuous basis. This result provides a promising channel for real-time tracking in the future.
On the performance of DCO-OFDM visible light communication systems under illumination constraints

In this paper, we consider a DC-biased optical-orthogonal frequency division multiplexing (DCO-OFDM) visible light communication system and investigate its error rate performance under illumination constraints. First, we find the optimum signal power for a given DC bias level assuming a fixed number of LEDs. Then, for a desired lighting requirement, we determine the optimum combination of DC bias, signal power and the number of LEDs which gives the best bit error rate (BER) performance. Numerical results are presented to demonstrate the BER under different settings under consideration.
A Multi-Omics Analysis of Recombinant Protein Production in Hek293 Cells

Hek293 cells are the predominant hosts for transient expression of recombinant proteins and are used for stable expression of proteins where post-translational modifications performed by CHO cells are inadequate. Nevertheless, there is little information available on the key cellular features underpinning recombinant protein production in Hek293 cells. To improve our understanding of recombinant protein production in Hek293 cells and identify targets for the engineering of an improved host cell line, we have compared a stable, recombinant protein producing Hek293 cell line and its parental cell line using a combination of transcriptomics, metabolomics and fluxomics. Producer cultures consumed less glucose than non-producer cultures while achieving the same growth rate, despite the additional burden of recombinant protein production. Surprisingly, there was no indication that producer cultures compensated for the reduction in glycolytic energy by increasing the efficiency of glucose utilization or increasing glutamine consumption. In contrast, glutamine consumption was lower and the majority of genes involved in oxidative phosphorylation were downregulated in producer cultures. We observed an overall downregulation of a large number of genes associated with broad cellular functions (e.g., cell growth and proliferation) in producer cultures, and therefore speculate that a broad adaptation of the cellular network freed up resources for recombinant protein production while maintaining the same growth rate. Increased abundance of genes associated with endoplasmic reticulum stress indicated a possible bottleneck at the point of protein folding and assembly.
Visualization of VirE2 protein translocation by the Agrobacterium type IV secretion system into host cells

Type IV secretion systems (T4SS) can mediate the translocation of bacterial virulence proteins into host cells. The plant pathogen Agrobacterium tumefaciens uses a T4SS to deliver a VirD2‐single stranded DNA complex as well as the virulence proteins VirD5, VirE2, VirE3, and VirF into host cells so that these become genetically transformed. Besides plant cells, yeast and fungi can efficiently be transformed by Agrobacterium. Translocation of virulence proteins by the T4SS has so far only been shown indirectly by genetic approaches. Here we report the direct visualization of VirE2 protein translocation by using bimolecular fluorescence complementation (BiFC) and Split GFP visualization strategies. To this end, we cocultivated Agrobacterium strains expressing VirE2 tagged with one part of a fluorescent protein with host cells expressing the complementary part, either fused to VirE2 (for BiFC) or not (Split GFP). Fluorescent filaments became visible in recipient cells 20–25 h after the start of the cocultivation indicative of VirE2 protein translocation. Evidence was obtained that filament formation was due to the association of VirE2 with the microtubuli.
(WIP) a dynamic channel re-allocation scheme for TETRA systems

In this paper, we propose a dynamic channel re-allocation scheme for Terrestrial Trunked Radio (TETRA) networks. In TETRA networks, the packet data transmission request is often rejected as it must be allocated with adjacent multiple slots. The proposed scheme is applied upon service completion, and all the used channels should be moved to the most suitable allocation, which means the new request will not be blocked as long as the idle channels are enough. Simulation results show that the dynamic channel re-allocation scheme can considerably reduce the packet data blocking probability and obviously increase the channel utilization at the expense of increased voice blocking probability. In addition, the performance is further improved better when the packet data call for more adjacent channels.
A dynamic web-based 3D virtual museum framework based on open data

Continuous developments in the web and computer technologies along with an increasing availability of game engines contribute to an expansion of techniques that bridge culture and education with gaming. In addition, open linked data technologies pave the way towards the semantic web of the future by exploiting the abundance in data availability. In this work we present an innovative and content-dynamic web-based framework, which relies and exploits the rich content of distributed web cultural resources and supports the creation of custom virtual exhibitions for cultural and educational purposes based on gaming technologies.
Turkish LVCSR: Database Preparation and Language Modeling for an Agglutinative Language

Turkish language is an agglutinative language. It is possible to produce a very high number of words from the same root with suffixes [1]. Language modeling for agglutinative languages needs to be different than modeling of languages like English. Such languages also have inflections but not as many as an agglutinative language. Techniques which can be used for modeling agglutinative languages are presented in this work. Turkish is one of the least studied language for speech recognition. For this reason the first step for Turkish speech recognition is preparing a database. The texts to record the database were selected from television programs and newspaper articles. Selection criterion was to cover various subject and to create a phonetically balanced corpus. Additionally it is important to include as many different word as possible. The Speech Training and Recognition Unified Tool (STRUT)1 has been used for training and testing systems for preliminary recognition experiments.
NCAM-Induced Neurite Outgrowth Depends on Binding of Calmodulin to NCAM and on Nuclear Import of NCAM and fak Fragments

The neural cell adhesion molecule NCAM plays important functional roles not only during nervous system development, but also in the adult after injury and in synaptic plasticity. Homophilic binding of NCAM triggers intracellular signaling events resulting in cellular responses such as neurite outgrowth that require NCAM palmitoylation-dependent raft localization and activation of the nonreceptor tyrosine kinases fyn and fak. In this study, we show that stimulation of NCAM by a function-triggering NCAM antibody results in proteolytic processing of NCAM and fak. The C-terminal fragment of NCAM, consisting of the intracellular domain, the transmembrane domain, and a stub of the extracellular domain, and the N-terminal fragment of fak are imported into the nucleus. NCAM-stimulated fak activation, generation, and nuclear import of NCAM and fak fragments as well as neurite outgrowth are abolished by mutation of the calmodulin binding motif in the intracellular domain of NCAM that is responsible for the calcium-dependent binding of calmodulin to NCAM. This mutation interferes neither with NCAM cell surface expression, palmitoylation, and raft localization nor with fyn activation. The way by which the transmembrane NCAM fragment reaches the nucleus in a calmodulin- and calcium-dependent manner is by endocytotic transport via the endoplasmic reticulum and the cytoplasm. The generation and nuclear import of NCAM and phosphorylated fak fragments resulting from NCAM stimulation may represent a signal pathway activating cellular responses in parallel or in association with classical kinase- and phosphorylation-dependent signaling cascades.