Miracle-dz/UniFAR-FTUs huggingface dataset:
Fuzzy ontology for knowledge mobilisation and decision support

A growing concern for organisations is how they should deal with increasing amounts of collected data. With fierce competition and smaller margins, organisations that are able to fully realize the potential in the data they collect can gain an advantage over the competitors. It is almost impossible to avoid imprecision when processing large amounts of data. Still, many of the available information systems are not capable of handling imprecise data, even though it can offer various advantages. Expert knowledge stored as linguistic expressions is a good example of imprecise but valuable data, i.e. data that is hard to exactly pinpoint to a definitive value. There is an obvious concern among organisations on how this problem should be handled; finding new methods for processing and storing imprecise data are therefore a key issue. Additionally, it is equally important to show that tacit knowledge and imprecise data can be used with success, which encourages organisations to analyse their imprecise data. The objective of the research conducted was therefore to explore how fuzzy ontologies could facilitate the exploitation and mobilisation of tacit knowledge and imprecise data in organisational and operational decision making processes. The thesis introduces both practical and theoretical advances on how fuzzy logic, ontologies (fuzzy ontologies) and OWA operators can be utilized for different decision making problems. It is demonstrated how a fuzzy ontology can model tacit knowledge which was collected from wine connoisseurs. The approach can be generalised and applied also to other practically important problems, such as intrusion detection. Additionally, a fuzzy ontology is applied in a novel consensus model for group decision making. By combining the fuzzy ontology with Semantic Web affiliated techniques novel applications have been designed. These applications show how the mobilisation of knowledge can successfully utilize also imprecise data. An important part of decision making processes is undeniably aggregation, which in combination with a fuzzy ontology provides a promising basis for demonstrating the benefits that one can retrieve from handling imprecise data. The new aggregation operators defined in the thesis often provide new possibilities to handle imprecision and expert opinions. This is demonstrated through both theoretical examples and practical implementations. This thesis shows the benefits of utiliz-
Multiple hard parton interactions at HERA

At HERA, the large flux of almost real photons accompanying the electron beam leads to the copious photoproduction of jets. Regions of small momentum fractions x of the incoming particles are explored, where the density of partons is high. As a result, the probability for more than one hard partonic scattering occurring in a single collision could become significant. It is well known that this effect modifies the contribution of jets (minijets) to the total cross section. We discuss the latest HERA data on the total cross section in this context. The possible effects of multiple hard interactions on event shapes and jet cross sections at HERA have been studied using Monte Carlo programs. We review some of the available results, which in general indicate that the effects of multiple interactions should be significant and may already be manifest in the existing HERA data.
Human CENP-A contains a histone H3 related histone fold domain that is required for targeting to the centromere

Centromeres are the differentiated chromosomal domains that specify the mitotic behavior of chromosomes. To examine the molecular basis for the specification of centromeric chromatin, we have cloned a human cDNA that encodes the 17-kD histone-like centromere antigen, CENP-A. Two domains are evident in the 140 aa CENP-A polypeptide: a unique NH2- terminal domain and a 93-amino acid COOH-terminal domain that shares 62% identity with nucleosomal core protein, histone H3. An epitope tagged derivative of CENP-A was faithfully targeted to centromeres when expressed in a variety of animal cells and this targeting activity was shown to reside in the histone-like COOH-terminal domain of CENP-A. These data clearly indicate that the assembly of centromeres is driven, at least in part, by the incorporation of a novel core histone into centromeric chromatin.
Hemodynamic Significance of Internal Carotid or Middle Cerebral Artery Stenosis Detected on Magnetic Resonance Angiography

Purpose We evaluated hemodynamic significance of stenosis on magnetic resonance angiography (MRA) using acetazolamide perfusion single photon emission computed tomography (SPECT). Materials and Methods Of 171 patients, stenosis in internal carotid artery (ICA) and middle cerebral artery (MCA) (ICA-MCA) on MRA and cerebrovascular reserve (CVR) of MCA territory on SPECT was measured using quantification and a 3-grade system. Stenosis and CVR grades were compared with each other, and their prognostic value for subsequent stroke was evaluated. Results Of 342 ICA-MCA, 151 (44%) presented stenosis on MRA; grade 1 in 69 (20%) and grade 2 in 82 (24%) cases. Decreased CVR was observed in 9% of grade 0 stenosis, 25% of grade 1, and 35% of grade 2. The average CVR of grade 0 was significantly different from grade 1 (p<0.001) and grade 2 stenosis (p=0.007). In quantitative analysis, average CVR index was -0.56±7.91 in grade 0, -1.81±6.66 in grade 1 and -1.18±5.88 in grade 2 stenosis. Agreement between stenosis and CVR grades was fair in patients with lateralizing and non-lateralizing symptoms (κ=0.230 and 0.346). Of the factors tested, both MRA and CVR were not significant prognostic factors (p=0.104 and 0.988, respectively), whereas hypertension and renal disease were significant factors (p<0.05, respectively). Conclusion A considerable proportion of ICA-MCA stenosis detected on MRA does not cause CVR impairment despite a fair correlation between them. Thus, hemodynamic state needs to be assessed for evaluating significance of stenosis, particularly in asymptomatic patients.
‘What do you notice?’ Parent guidance of preschoolers’ inquiry in activities at home

ABSTRACT The present study examined parental guidance of young children’s inquiry during joint interactions in the home environment. Half of the parents received inquiry-based guidance instructions, encouraging their children to observe, question, predict, and evaluate; the control group received no information about guidance. Thirty-two families were observed in their homes, conducting an initial paw print matching activity and a seed sorting activity one month later. The results indicated that although all parents provided significant support for science and mathematics, parents who received inquiry guidance instructions facilitated children’s complex reasoning through support of advanced inquiry processes such as comparing, predicting, and evaluating. The findings provide evidence that parents can be encouraged to support young children’s inquiry learning through simple methods of instruction and highlight the need for coordination between early childhood educational and home contexts to support preschoolers’ learning.
Optical Spectroscopy of Embedded Young Stars in the Taurus-Auriga Molecular Cloud

This paper describes the first optical spectroscopic survey of Class I sources (also known as embedded sources and protostars) in the Taurus-Auriga dark cloud. We detect 10 of the 24 known Class I sources in the cloud at 5500–9000 Å. All detected Class I sources have strong Hα emission; most also have strong [O I] and [S II] emission. These data—together with high-quality optical spectra of T Tauri stars in the Taurus-Auriga cloud—demonstrate that forbidden emission lines are stronger and more common in Class I sources than in T Tauri stars. Our results also provide a clear discriminant in the frequency of forbidden line emission between weak-emission and classical T Tauri stars. In addition to strong emission lines, three Class I sources have prominent TiO absorption bands. The M-type central stars of these sources mingle with optically visible T Tauri stars in the H-R diagram and lie somewhat below both the birth line for spherical accretion and the deuterium burning sequence for disk accretion.
Gastric cancer cell growth and epithelial-mesenchymal transition are inhibited by γ-secretase inhibitor DAPT

The Notch signaling pathway may be important in the development and progression of several malignancies. However, the functions of Notch signaling in epithelial-mesenchymal transition (EMT) remain largely unknown. The aim of the present study was to delineate Notch1 expression in gastric cancer (GC) and its function in GC EMT. Using quantitative polymerase chain reaction and western blot analysis, the expression of Notch1 was found to increase in GC cell lines compared with the normal gastric mucosa cell line. In addition, Notch1 expression was found to be downregulated in the non-metastatic-derived GC cell line compared with the metastatic-derived cell line. Furthermore, Notch1 expression was significantly increased in the tumor tissues compared with the adjacent normal mucosa tissues, as well as in patients with metastases than in patients without metastases. To explore the role of the Notch1 signaling pathway in EMT, the GC cell lines, AGS and MKN45, were treated with γ-secretase inhibitor DAPT. Using MTT, Transwell and clonality assays, DAPT was found to inhibit the expression of the Notch1 downstream target, Hes1, and impair the ability of the GC cell lines to migrate, invade and proliferate. The protein levels of the mesenchymal markers, vimentin, neural cadherin and Snail, were decreased; however, the expression of the epithelial marker, epithelial cadherin, was increased in the GC cell lines treated with DAPT. These results indicated that the Notch1 signaling pathway may be important in the development and progression of GC. In conclusion, DAPT inhibits the Notch1 signaling pathway, as well as the growth, invasion, metastasis and EMT of GC cells.
Association of Plasminogen Activator Inhibitor-Type 1 (-675 4G/5G) Polymorphism with Pre-Eclampsia: Systematic Review

Background and Aims Excessive generation of plasminogen activator inhibitor-type 1 (PAI-1) is implicated in the pathogenesis of pre-eclampsia and related conditions. The PAI-1 (−675 4G/5G) promoter polymorphism (rs1799889) affects transcriptional activity and is a putative genetic risk factor for pre-eclampsia. The aim of this study was identify, appraise and synthesise the available evidence for the association of the PAI-1 (−675 4G/5G) polymorphism with pre-eclampsia. Methods Systematic review and random effects meta-analysis of genetic association studies. Results We found 12 eligible genetic association studies in which a total of 1511 women with pre-eclampsia, eclampsia or HELLP syndrome and 3492 controls participated. The studies were generally small (median number of cases 102, range 24 to 403) and underpowered to detect plausible association sizes. Meta-analysis of all of the studies detected statistically significant gene-disease associations in the recessive [pooled odds ratio 1.28 (95% confidence interval 1.09, 1.50); population attributable risk 7.7%] and dominant [pooled odds ratio 1.21 (95% confidence interval 1.01, 1.44); population attributable risk 13.7%] models. We did not find evidence of statistical heterogeneity, funnel plot asymmetry or small study bias. Conclusions These data suggest that the fibrinolytic pathway regulated by the PAI-1 gene may contribute to the pathogenesis of pre-eclampsia and related conditions. This association, if confirmed in larger genetic association studies, may inform research efforts to develop novel interventions or help to prioritise therapeutic targets that merit evaluation in randomised clinical trials.
Moral reasoning about school bullying in involved adolescents

Abstract The aim of the present study was to investigate how bullying incident participant roles and moral reasoning relate to each other in adolescents. To do so, we examined sociomoral judgments about hypothetical bullying incidents and moral disengagement in adolescents identified as bullies, defenders of the victim and passive bystanders. Six-hundred and twenty-six high school students (13- to 15-years-old) took part in this study and 131 were assigned a specific bullying incident participant role through peer nomination. Findings reveal that defenders of the victim show greater and more uniform moral sensibility than did both bullies and passive bystanders. Sociomoral reasoning helped differentiate between both bully subtypes (bully-leaders and bully-followers) and passive bystander beyond displaying greater moral disengagement than defenders did.
Shape and Motion Features Approach for Activity Tracking and Recognition from Kinect Video Camera

Recent development in depth sensors opens up new challenging task in the field of computer vision research areas, including human-computer interaction, computer games and surveillance systems. This paper addresses shape and motion features approach to observe, track and recognize human silhouettes using a sequence of RGB-D images. Under our proposed activity recognition framework, the required procedure includes: detecting human silhouettes from the image sequence, we remove noisy effects from background and track human silhouettes using temporal continuity constraints of human motion information for each activity, extracting the shape and motion features to identify richer motion information and then these features are clustered and fed into Hidden Markov Model (HMM) to train, model and recognize human activities based on transition and emission probabilities values. During experimental results, we demonstrate this approach on two challenging depth video datasets: one based on our own annotated database and other based on public database (i.e., MSRAction3D). Our approach shows significant recognition results over the state of the art algorithms.
QTL Analysis of Kernel-Related Traits in Maize Using an Immortalized F2 Population

Kernel size and weight are important determinants of grain yield in maize. In this study, multivariate conditional and unconditional quantitative trait loci (QTL), and digenic epistatic analyses were utilized in order to elucidate the genetic basis for these kernel-related traits. Five kernel-related traits, including kernel weight (KW), volume (KV), length (KL), thickness (KT), and width (KWI), were collected from an immortalized F2 (IF2) maize population comprising of 243 crosses performed at two separate locations over a span of two years. A total of 54 unconditional main QTL for these five kernel-related traits were identified, many of which were clustered in chromosomal bins 6.04–6.06, 7.02–7.03, and 10.06–10.07. In addition, qKL3, qKWI6, qKV10a, qKV10b, qKW10a, and qKW7a were detected across multiple environments. Sixteen main QTL were identified for KW conditioned on the other four kernel traits (KL, KWI, KT, and KV). Thirteen main QTL were identified for KV conditioned on three kernel-shape traits. Conditional mapping analysis revealed that KWI and KV had the strongest influence on KW at the individual QTL level, followed by KT, and then KL; KV was mostly strongly influenced by KT, followed by KWI, and was least impacted by KL. Digenic epistatic analysis identified 18 digenic interactions involving 34 loci over the entire genome. However, only a small proportion of them were identical to the main QTL we detected. Additionally, conditional digenic epistatic analysis revealed that the digenic epistasis for KW and KV were entirely determined by their constituent traits. The main QTL identified in this study for determining kernel-related traits with high broad-sense heritability may play important roles during kernel development. Furthermore, digenic interactions were shown to exert relatively large effects on KL (the highest AA and DD effects were 4.6% and 6.7%, respectively) and KT (the highest AA effects were 4.3%).
Measurements of ambipoloar diffusion in helium

Microwave techniques are applied to the study of the diffusion of electrons and positive ions in helium. For the electron and ion densities realized experimentally, the diffusion takes place ambipolarly; that is, the flow of charged particles of both signs is equalized by the space-charge field which they set up. At 1 mm Hg pressure and 0.039 ev average energy, the measured value of the ambipolar-diffusion coefficient, Da, is 540 cm/sec. The measured variation of Da with gas density, energy of the particles, and diffusion-container size and shape agrees closely with theory.
The Framing of the North Korean Six-Party Talks by Chinese and North Korean News Agencies: Communist Propaganda and National Interests

This article examines the subtle differences in news coverage of the Six-Party Talks by China's Xinhua news agency and North Korea's Korean Central News Agency from 2003 to 2007. The news agencies are the targets of propaganda from the various interests involved in the North Korean nuclear issue. The focus is on how the agencies framed the issue and whether the frames adopted by each reflected its country's dominant ideology and national interests. It was found that the two news agencies adopted frames for the issue that were consistent with the dominant ideology in their respective nations.
A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and Voice Mail Emotion/Adoption Study

The ability to detect and accurately estimate the strength of interaction effects are critical issues that are fundamental to social science research in general and IS research in particular. Within the IS discipline, a large percentage of research has been devoted to examining the conditions and contexts under which relationships may vary, often under the general umbrella of contingency theory ( McKeen, Guimaraes, and Wetherbe 1994; Weill and Olson 1989). In our survey of such studies where such moderating variables are explored, a majority fail to either detect and/or provide an estimate of the effect size. In cases where effects sizes are estimated, the numbers are generally small. These results have, in turn, led some to question the usefulness of contingency theory and the need to detect interaction effects (e.g., Weill and Olson 1989). This paper addresses this issue by providing a new latent variable modeling approach that can give more accurate estimates of such interaction effects by accounting for the measurement error in measures which attenuates the estimated relationships. The feasibility of this approach at recovering the true effects is demonstrated in two studies: a simulated data set where the underlying true effects are known and a Voice Mail adoption data set where the emotion of enjoyment is shown to have both a substantial direct and interaction effect on adoption intention.
General-Purpose Join Algorithms for Listing Triangles in Large Graphs

We investigate applying general-purpose join algorithms to the triangle listing problem in an out-of-core context. In particular, we focus on Leapfrog Triejoin (LFTJ) by Veldhuizen 2014, a recently proposed, worst-case optimal algorithm. We present "boxing": a novel, yet conceptually simple, approach for feeding input data to LFTJ. Our extensive analysis shows that this approach is I/O efficient, being worst-case optimal (in a certain sense). Furthermore, if input data is only a constant factor larger than the available memory, then a boxed LFTJ essentially maintains the CPU data-complexity of the vanilla LFTJ. Next, focusing on LFTJ applied to the triangle query, we show that for many graphs boxed LFTJ matches the I/O complexity of the recently by Hu, Tao and Yufei proposed specialized algorithm MGT for listing tiangles in an out-of-core setting. We also strengthen the analysis of LFTJ's computational complexity for the triangle query by considering families of input graphs that are characterized not only by the number of edges but also by a measure of their density. E.g., we show that LFTJ achieves a CPU complexity of O(|E|log|E|) for planar graphs, while on general graphs, no algorithm can be faster than O(|E|^{1.5}). Finally, we perform an experimental evaluation for the triangle listing problem confirming our theoretical results and showing the overall effectiveness of our approach. On all our real-world and synthetic data sets (some of which containing more than 1.2 billion edges) LFTJ in single-threaded mode is within a factor of 3 of the specialized MGT; a penalty that---as we demonstrate---can be alleviated by parallelization.
Behavioral Law and Economics: Explaining Bargaining Impasse: The Role of Self-serving Biases

A major unsolved riddle facing the social sciences is the cause of impasse in negotiations. The consequences of impasse are evident in the amount of private and public resources spent on civil litigation, the costs of labor unrest, the psychic and pecuniary wounds of domestic strife, and in clashes between religious, ethnic, and regional groups. Impasses in these settings are not only pernicious, but somewhat paradoxical, since negotiations typically unfold over long periods of time, offering ample opportunities for interaction between the parties. Economists, and more specifically game theorists, typically attribute delays in settlement to incomplete information. Bargainers possess private information about factors such as their alternatives to negotiated agreements and costs to delay, causing the bargainers to be mutually uncertain about the other side's reservation value. Uncertainty produces impasse because bargainers use costly delays to signal to the other party information about their own reservation value. However, this explanation for impasse is difficult to test because satisfactory measures of uncertainty are rare. With only a few exceptions, most field research in this area has been limited to testing secondary hypotheses such as the relationship between wages and strike duration. Experimental tests of incomplete information accounts of impasse have been hindered by the difficulty of completely controlling important aspects of the experimental environment such as the beliefs maintained by the subjects, and those that have been conducted have generally not provided strong support for the specific models under examination.
Not All Character N-grams Are Created Equal: A Study in Authorship Attribution

Character n-grams have been identified as the most successful feature in both singledomain and cross-domain Authorship Attribution (AA), but the reasons for their discriminative value were not fully understood. We identify subgroups of charactern-grams that correspond to linguistic aspects commonly claimed to be covered by these features: morphosyntax, thematic content and style. We evaluate the predictiveness of each of these groups in two AA settings: a single domain setting and a cross-domain setting where multiple topics are present. We demonstrate that characterngrams that capture information about affixes and punctuation account for almost all of the power of character n-grams as features. Our study contributes new insights into the use of n-grams for future AA work and other classification tasks.
The Turkish Version of the Ruminative Response Scale: An Examination of Its Reliability and Validity

The aim of the present study was to examine the validity and reliability of the two forms of the Ruminative Response Scale (RRS) proposed by Nolen-Hoeksema and Morrow (1991) and Treynor, Gonzalez, and Nolen-Hoeksema (2003). In addition to The Ruminative Response Scale (RRS), the Beck Depression Inventory (BDI) was administered to a sample of 387 Turkish university students in order to test the criterion validity as suggested by previous studies. The results of confirmatory factor analysis revealed good fit indices for the long and short version of the scale. The findings showed satisfactory internal consistency coefficients (Cronbach Alpha) and high convergent validity for both the two forms the scale. Results are discussed in light of the related literature.