Miracle-dz/UniFAR-FTUs huggingface dataset:
Shaping Interactive Stories in 3D Environments

The construction of 3D interactive stories with variable storylines, user interactivity, and integration of personalized aspects poses challenges to the generation and simulation of dynamic story content. How to break down a narrative into computable units, provide sufficient independence when linking to its 3D presentational level, and simulating the story in an interactive 3D environment that guarantees a coherent conveying are prevailing topics of interest in the gaming and interactive narrative communities. Well known story structures in previous work make use of story units such as beats [Mateas and Stern 2003] and vignettes [Riedl and Leon 2008], but generated stories often lack in variability and rarely address the linking between the story structure and the 3D environment. In this work, we propose a story structure that enables us to explore temporal, thematic, and theatrical variations of an interactive story through the filtering of the story fragments (basic units of story) in an authored interactive 3D narrative. The narrative is represented as a branching story graph structure composed of story fragments (represented as nodes in the graph) and edges that logically link the fragments. A graph traversal algorithm we designed then filters and validates the story graph for logic and integrates user preferences such as the length of the story or the presence of a dramatic ending. Finally, and most importantly, the story fragments are presented in a coherent interactive 3D environment including character behaviors, character animation, and camera control.
Towards security in multi-agency clinical information services

There is no doubt that the privacy of individuals, the confidentiality of information about them, the integrity of transaction holding and the availability of service systems are all essential; threats in any one of these aspects is costly and could lead to disaster. Securing computer services has been considered a core part of any new development, one of which is clinical information systems. In this paper we discuss a security policy model for a clinical information system and investigate whether logical languages can represent the principles of this kind of model. We have used three logical security languages: the Authorization Specification Language (ASL), a Language for Security Constraints on Objects (LaSCO) and Ponder: a Language for Specifying Security and Management Policies for Distributed Systems. We will also study whether these principles are sufficient to deal with the case of multi-agency services and sharing information with different agencies such as social services, police and education authority.
The Algorithmic Self: Layered Accounts of Life and Identity in the 21st Century

This paper takes an actor network theory approach to explore some of the ways that algorithms co-construct identity and relational meaning in contemporary use of social media. Based on intensive interviews with participants as well as activity logging and data tracking, the author presents a richly layered set of accounts to help build our understanding of how individuals relate to their devices, search systems, and social network sites. This work extends critical analyses of the power of algorithms in implicating the social self by offering narrative accounts from multiple perspectives. It also contributes an innovative method for blending actor network theory with symbolic interaction to grapple with the complexity of everyday sensemaking practices within networked global information flows.
High relative reliability and responsiveness of the forgotten joint score-12 in patients with femoroacetabular impingement undergoing hip arthroscopic treatment. A prospective survey-based study

Abstract The forgotten joint score-12 (FJS-12) may be an advantageous questionnaire in young patients with high hip function and a low level of pain. We investigated the reliability and the responsiveness of the FJS-12 in patients with femoroacetabular impingement undergoing hip arthroscopic treatment. Fifty patients were included in the reliability study and 34 patients were included in the responsiveness study. Test–retest reliability was assessed with intraclass correlation coefficient (ICC), standard error of measurement (SEM) and minimal detectable change (MDC). Responsiveness was assessed from testing correlations between the FJS-12 and the Copenhagen Hip and Groin Outcome Score (HAGOS) of the change score, effect size (ES) and standardized response mean (SRM). Floor and ceiling effect were defined as present if the number of patients obtaining the maximum (100) and minimum score (0) exceeded 15%. The relative reliability was high (ICC = 0.9, 95% CI: 0.8–0.9) and the absolute reliability was low (SEM = 11, MDCindividual = 32, MDCgroup = 4.5). The responsiveness was high, and the change score was highly correlated with the subscale ‘pain’ from the HAGOS and moderately correlated with the subscale ‘ADL’. Furthermore, the FJS-12 exceeded or equalled the HAGOS subscales in ES and SRM. Below 15% of the patients scored the maximum or minimum score. The FJS-12 has high reliability, high responsiveness to change and shows no floor or ceiling effect.
Brusellozis’in Tanısında Brucellacapt’in Diğer Serolojik Testler İle Karşılaştırılması

Amac: Brusellozisin tani ve takibinde bircok serolojik test kullanilmaktadir. Gunumuzde rutin laboratuvarlarda siklikla kullanilan Rose Bengal Aglutinasyon, Standart Tup Aglutinasyon, ELISA anti-brusella testleridir. Ancak bunlarin disinda kullanima sunulan Brucellacapt (immuncapture) aglutinasyon ve Coombs testleri de tanida kullanilmaktadir. Bu calismada Rose Bengal Aglutinasyon, Standart Tup Aglutinasyon, Brucellacapt ve ELISA testlerini karsilastirmayi amacladik. Yontem: Bruselloz on tanisiyla cesitli kliniklerden gonderilen 71 hastanin serum ornegi calismaya dahil edildi. Bu serumlar Rose Bengal, Standart Tup Aglutinasyon, Brucellacapt ve ELISA (Brucella-IgM, Brucella-IgG) testleri ile calisildi. Bulgular: Rose Bengal ile 56 (% 78.8), STA ile 30 (% 42.2), Brucellacapt ile 52 (% 73.2) ve ELISA ile de 58 (% 81.6) pozitiflik saptandi. Sonuc: Kultur yapilamayan hastalarda Brusellozis’in tanisinda, STA’nin tek basina yetersiz kaldigi, STA ile birlikte Brucellacapt ve/veya ELISA testlerinin kombine olarak kullanilmasinin gerekli oldugu, Brusellosiz’in takibinde ise Brucellacapt’in uygun olmadigi bunun yerine ELISA (IgM,IgG) testlerinin kullanilmasinin daha uygun olacagi kanaatine varilmistir.
A Review on Privacy-Preserving Public Auditing for Storage Cloud

Storing data in the cloud has become a trend. An increasing number of clients store their important data in remote servers in the cloud, without leaving a copy in their local computers. Sometimes the data stored in the cloud is so important that the clients must ensure it is not lost or corrupted. While it is easy to check data integrity after completely downloading the data to be checked, downloading large amounts of data just for checking data integrity is a waste of communication bandwidth. Hence, a lot of works have been done on designing remote data integrity checking protocols, which allow data integrity to be checked without completely downloading the data. Many works focus on providing three advanced features for remote data integrity checking protocols: data dynamic, public verifiability and privacy against verifiers. The system in support data dynamics at the block level, including block insertion, block modification and block deletion. It supports data append operation, in addition it can be easily adapted to support data dynamics by using the techniques. On the other hand, it support public verifiability, by which anyone can perform the integrity checking operation. The system in support privacy against third party verifiers.
Terrorism Information Extraction from Online Reports

Many documents containing information about intelligence and security issues are available both in printed and electronic formats. In this research, we built an experimental system to extract intelligence and security information from electronic documents. Our system, CAINES, is based on a knowledge engineering approach and relies on sublanguage analysis techniques. CAINES performs syntactic and semantic analysis and uses lexicons of various categories of terms. The system is able to extract certain types of information from reports on terrorist incidents posted by the National Counterterrorism Center (NCTC), such as what happened and the results of the incidents.
A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review

Background Physical activity mobile apps present a unique medium to disseminate scalable interventions to increase levels of physical activity. However, the effectiveness of mobile apps has previously been limited by low levels of engagement. Existing Web-based social networking platforms (eg, Facebook and Twitter) afford high levels of popularity, reach, and sustain engagement and, thus, may present an innovative strategy to enhance the engagement, and ultimately the effectiveness of mobile apps. Objective This study aimed to comparatively examine the effectiveness of, and engagement with, interventions that incorporate physical activity mobile apps in conjunction with and without existing Web-based social networking platforms (eg, Facebook and Twitter). Methods A systematic review was conducted by following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Guidelines. A systematic search of the following databases was conducted: Medline, PsycINFO, Web of Science, Scopus, CINAHL, ProQuest, SPORTDiscus, EMBASE, and Cochrane. According to the comparative objective of this review, 2 independent literature searches were conducted. The first incorporated terms related to apps and physical activity; the second also incorporated terms related to Web-based social networking. The results of the two searches were synthesized and compared narratively. Results A total of 15 studies were identified, 10 incorporated a physical activity app alone and 5 incorporated an app in conjunction with an existing Web-based social networking platform. Overall, 10 of the 15 interventions were effective in improving one or more physical activity behaviors. Specifically, improvements in physical activity behaviors were reported in 7 of the 10 interventions incorporating physical activity apps alone and in 3 of the 5 interventions incorporating physical activity apps in conjunction with existing Web-based social networking platforms. Interventions incorporating physical activity apps alone demonstrated a decline in app engagement. In contrast, the physical activity apps in conjunction with existing Web-based social networking platforms showed increased and sustained intervention engagement. Conclusions The interventions incorporating physical activity apps in conjunction with and without existing Web-based social networking platforms demonstrated effectiveness in improving physical activity behaviors. Notably, however, the interventions that incorporated existing Web-based social networking platforms achieved higher levels of engagement than those that did not. This review provides preliminary evidence that existing Web-based social networking platforms may be fundamental to increase engagement with physical activity interventions.
Cycle length distributions in graphical models for iterative decoding

This paper analyses the distribution of cycle lengths in turbo decoding graphs. It is known that the widely-used iterative decoding algorithm for turbo codes is in fact a special case of a quite general local message-passing algorithm for efficiently computing posterior probabilities in acyclic directed graphical (ADG) models (also known as "belief networks"). However, this local message-passing algorithm in theory only works for graphs with no cycles. Why it works in practice (i.e., performs near-optimally in terms of bit decisions) on ADGs for turbo codes is not well understood since turbo decoding graphs can have many cycles.
Petri net modeling and performance analysis of Z39.50 search and retrieval protocol

This paper presents a Petri net approach to modeling and performance analysis of the Z39.50 search and retrieval protocol. The Z39.50 state tables present a complex set of events and actions. Based on these state tables, a Petri net model is for the first time constructed for the entire system comprising the protocol. A reachability graph analysis method is applied to the Petri net model to study the behavioral properties of the protocol. Assuming deterministic delays, time analysis is performed and completion times are computed for basic successful events and operations. A timed Petri net simulation tool is used to investigate the behavior of complex Z39.50 services and operations.
Mining itemsets - an approach to longitudinal and incremental association rule mining

With the improvements in data warehousing and database technology, the amount of data being collected has grown at a remarkable rate. The field of data mining, which enables the extraction of interesting or relevant information from such data, has also grown at a similar rate. Methods now exist that enable the extraction of rules ffom varied data sources ffom which users are able to draw inferences about the underlying data. This paper surveys and extends a new area of data mining that has recently emerged – Rule Mining. Rule mining uses the results of previous mining sessions as input to a second mining process that produces rules with very different semantics which can be used to extend the inferences made from the underlying data. The paper fwst presents an overview of the work in this area. We then present an efficient method of longitudinal association rule mining that uses previously constructed frequent itemsets (rather than either the (larger) source datasets or the (larger) resultant rulesets) within a rule production engine. We also show how this method can be used for longitudinal association rule mining.
Factors Influencing the Implementation of New- born and Infant Hearing Screening Programmes at Primary Health Care Clinics in South Africa

Purpose: This study aimed to explore possible factors which may influence the implementation of new-born and infant hearing screening programmes at Primary Healthcare Clinics in South Africa at Maternal Child Woman’s Health (MCWH) immunisation clinics. Participants: Thirty primary healthcare immunisation clinic managers/acting managers were interviewed in two South African sample groups, in the North West province (NW) and Gauteng (GP). Design: An exploratory, non-experimental, qualitative research design was employed incorporating both quantitative and qualitative information within the two sample groups. Methods and Materials: An interview using a questionnaire was administered with primary health care (PHC) clinic nursing manager/acting manager, placed within the identified sites. The questionnaire encompassed areas such as work contexts, hearing screening contexts and information management systems, as well as quality control measures in place at these clinics. Data Analysis: Content analysis was used to code emergent themes into specific categories. Frequency calculations of the emergent themes were conducted and results described qualitatively. Results: Findings revealed high willingness by clinic managers to have hearing screening form part of their workload; but with attendance to important barriers that were identified.
A Survey of Frequent Subgraphs and Subtree Mining Methods

A graph is a basic data structure which, can be used to model complex structures and the relationships between them, such as XML documents, social networks, communication networks, chemical informatics, biology networks, and structure of web pages. Frequent subgraph pattern mining is one of the most important fields in graph mining. In light of many applications for it, there are extensive researches in this area, such as analysis and processing of XML documents, documents clustering and classification, images and video indexing, graph indexing for graph querying, routing in computer networks, web links analysis, drugs design, and carcinogenesis. Several frequent pattern mining algorithms have been proposed in recent years and every day a new one is introduced. The fact that these algorithms use various methods on different datasets, patterns mining types, graph and tree representations, it is not easy to study them in terms of features and performance. This paper presents a brief report of an intensive investigation of actual frequent subgraphs and subtrees mining algorithms. The algorithms were also categorized based on different features.
A Multinational Cost-Consequence Analysis of a Bone Conduction Hearing Implant System—A Randomized Trial of a Conventional vs. a Less Invasive Treatment With New Abutment Technology

Background: It is hypothesized that, for patients with hearing loss, surgically placing an implant/abutment combination whilst leaving the subcutaneous tissues intact will improve cosmetic and clinical results, increase quality of life (QoL) for the patient, and reduce medical costs. Here, incremental costs and consequences associated with soft tissue preservation surgery with a hydroxyapatite (HA)-coated abutment (test) were compared with the conventional approach, soft tissue reduction surgery with an all-titanium abutment (control). Methods: A cost-consequence analysis was performed based on data gathered over a period of 3 years in an open randomized (1:1) controlled trial (RCT) running in four European countries (The Netherlands, Spain, France, and Sweden). Subjects with conductive or mixed hearing loss or single-sided sensorineural deafness were included. Results: During the first year, in the Netherlands (NL), France (FR), and Spain (ES) a net cost saving was achieved in favor of the test intervention because of a lower cost associated with surgery time and adverse event treatments [NL €86 (CI −50.33; 219.20), FR €134 (CI −3.63; 261.30), ES €178 (CI 34.12; 97.48)]. In Sweden (SE), the HA-coated abutment was more expensive than the conventional abutment, which neutralized the cost savings and led to a negative cost (SE €-29 CI −160.27; 97.48) of the new treatment modality. After 3 years, the mean cost saving reduced to €17 (CI −191.80; 213.30) in the Netherlands, in Spain to €84.50 (CI −117.90; 289.50), and in France to €80 (CI −99.40; 248.50). The mean additional cost in Sweden increased to €-116 (CI −326.90; 68.10). The consequences in terms of the subjective audiological benefit and Health-related quality of life (HRQoL) were comparable between treatments. A trend was identified for favorable results in the test group for some consequences and statistical significance is achieved for the cosmetic outcome as assessed by the clinician. Conclusions: From this multinational cost-consequence analysis it can be discerned that health care systems can achieve a cost saving during the first year that regresses after 3 years, by implementing soft tissue preservation surgery with a HA-coated abutment in comparison to the conventional treatment. The cosmetic results are better. (sponsored by Cochlear Bone Anchored Solutions AB; Clinical and health economic evaluation with a new Baha® abutment design combined with a minimally invasive surgical technique, ClinicalTrials.gov NCT01796236).
Safety evaluation of the food enzyme l‐ascorbate oxidase from Cucurbita pepo L. and Cucurbita moschata Duchesne

Abstract The food enzyme l‐ascorbate: oxygen oxidoreductase (EC 1.10.3.3) is extracted from fruit peels of Cucurbita pepo L. and Cucurbita moschata Duchesne by Nagase (Europa) GmbH. This enzyme is intended to be used in baking and cereal‐based processes. Based on maximum use levels recommended for the respective food processes and individual data from the EFSA Comprehensive European Food Consumption Database, dietary exposure to the food enzyme–total organic solids (TOS) was estimated to be up to 5.950 mg TOS/kg body weight per day in European populations. This exposure is in the same order of magnitude for infants and toddlers; but for children, adolescents, adults and the elderly it is one order of magnitude higher than the exposure to the fraction of the fruit peels comparable to the food enzyme–TOS. The Panel, while recognising the order of magnitude of difference in the exposure estimates, considers that any realistic exposure derived from the use of the food enzyme would be considerably lower and likely to be within the range of exposure through a typical diet. The Panel agreed that the requirements for exclusion of toxicological data were met. Amino acid sequence similarity to known allergens was searched and no match was found. The Panel considered that the risk of allergic sensitisation and elicitation reactions upon dietary exposure to this food enzyme cannot be excluded, but are not expected to exceed the likelihood of the allergic reactions following consumption of pumpkin or zucchini per se, which is low. Based on the data provided and the origin of the food enzyme from edible parts of C. pepo L. and C. moschata Duchesne, the Panel considers that the food enzyme l‐ascorbate oxidase does not raise safety concerns under the intended conditions of use.
A review of the DASH plan in Nigeria.

High blood pressure, known also as hypertension has become an increasingly prevalent medical condition in Nigeria over the last decade and as a condition which is often associated with other clinical illnesses, relevant measures towards controlling its effects have been developed globally. This review, which involved the use of relevant academic literature, looks at one of the major advancements in lifestyle medicine that has been in use for more than two decades and views its application with the current situation in Nigeria. Controlling the disease through dieting particularly DASH is considered a major advancement in the field of clinical Nutrition. DASH involves the development of a moderate carbohydrate eating plan combined with the recommended intake of vegetables and fruits to supply relevant macro and micro nutrients necessary to alleviate hypertension. Although, currently being used in Nigeria by dieticians and clinical nutritionists, several public health challenges have continuously hindered the country from reaping the full benefits of the DASH plan. Some of these challenges include the dissemination and interpretation of plans by care givers and patients, the strict adherence to plans formulated by clinical nutritionists, economic constraints, as well as the lack of expertise in the formulation of DASH plans for patients in Nigeria. Recommendations are made as to how best such challenges can be overcome, including working with patients considering their literacy levels, counseling methods and using the Patient Record Card (PRC) to manage the adherence and compliance to formulated DASH plans.