Miracle-dz/UniFAR-FTUs huggingface dataset:
The mediation role of perceived social support in the relationship between interpersonal competence and self-esteem in married individuals

corresponding author – Kemal Baytemir, Ph.D., Amasya Eğitim Fakültesi, Amasya Üniversitesi, 05100 Amasya, Turkey, e-mail: kemalbaytemir@gmail.com authors’ contributions – A: Study design · B: Data collection · C: Statistical analysis · D: Data interpretation · E: Manuscript preparation · F: Literature search · G: Funds collection to cite this article – Baytemir, K. , Demirtaş, A. S. , & Yıldız, M. A. (2018). The mediation role of perceived social support in the relationship between interpersonal competence and self-esteem in married individuals. Current Issues in Personality Psychology 6(3), 200–211. received 23.11. 2017 · reviewed 18.01. 2018 · accepted 12.04. 2018 · published 30.05. 2018 original article
Palmprint verification using GridPCA for Gabor features

Palmprint recognition is a challenging problem for reliable person authentication due to the complex patterns of palmprint image. In this paper, we propose a novel algorithm for palmprint verification based on using Grid-PCA for Gabor features. Our proposed algorithm includes the following steps: (1) Gabor feature extraction by using a Gabor function of multiple scales and orientations with the aim that optimize local properties in both spatial and frequency domain. (2) Grid-PCA is applied to effectively reduce the feature space dimension of each Gabor-filtered image. The experimental results for the verification on public palmprint databases of Indian Institute of Technology Delhi and Hong Kong Polytechnic University show that the proposed method exhibits a very high robustness and gets the best performance in comparing to other approaches in literature.
Fractional operators and special functions. II. Legendre functions

Most of the special functions of mathematical physics are connected with the representation of Lie groups. The action of elements D of the associated Lie algebras as linear differential operators gives relations among the functions in a class, for example, their differential recurrence relations. In this paper, we apply the fractional generalizations Dμ of these operators developed in an earlier paper in the context of Lie theory to the group SO(2,1) and its conformal extension. The fractional relations give a variety of interesting relations for the associated Legendre functions. We show that the two-variable fractional operator relations lead directly to integral relations among the Legendre functions and to one- and two-variable integral representations for those functions. Some of the relations reduce to known fractional integrals for the Legendre functions when reduced to one variable. The results enlarge the understanding of many properties of the associated Legendre functions on the basis of the un.
On socio-spatial group query for location-based social networks

Challenges faced in organizing impromptu activities are the requirements of making timely invitations in accordance with the locations of candidate attendees and the social relationship among them. It is desirable to find a group of attendees close to a rally point and ensure that the selected attendees have a good social relationship to create a good atmosphere in the activity. Therefore, this paper proposes Socio-Spatial Group Query (SSGQ) to select a group of nearby attendees with tight social relation. Efficient processing of SSGQ is very challenging due to the tradeoff in the spatial and social domains. We show that the problem is NP-hard via a proof and design an efficient algorithm SSGSelect, which includes effective pruning techniques to reduce the running time for finding the optimal solution. We also propose a new index structure, Social R-Tree to further improve the efficiency. User study and experimental results demonstrate that SSGSelect significantly outperforms manual coordination in both solution quality and efficiency.
Brain tumor detection and localization in magnetic resonance imaging

A tumor also known as neoplasm is a growth in the abnormal tissue which can be differentiated from the surrounding tissue by its structure. A tumor may lead to cancer, which is a major leading cause of death and responsible for around 13% of all deaths world-wide. Cancer incidence rate is growing at an alarming rate in the world. Great knowledge and experience on radiology are required for accurate tumor detection in medical imaging. Automation of tumor detection is required because there might be a shortage of skilled radiologists at a time of great need. We propose an automatic brain tumor detection and localization framework that can detect and localize brain tumor in magnetic resonance imaging. The proposed brain tumor detection and localization framework comprises five steps: image acquisition, pre-processing, edge detection, modified histogram clustering and morphological operations. After morphological operations, tumors appear as pure white color on pure black backgrounds. We used 50 neuroimages to optimize our system and 100 out-of-sample neuroimages to test our system. The proposed tumor detection and localization system was found to be able to accurately detect and localize brain tumor in magnetic resonance imaging. The preliminary results demonstrate how a simple machine learning classifier with a set of simple image-based features can result in high classification accuracy. The preliminary results also demonstrate the efficacy and efficiency of our five-step brain tumor detection and localization approach and motivate us to extend this framework to detect and localize a variety of other types of tumors in other types of medical imagery.
Security Instantiation for Mobile Networks

In this paper, we focus our attention on the problem of assigning initial secrets to users in a mobile system so that they can use those secrets to ensure authentication and privacy during their communication. We present a protocol that maintains O( √ n) secrets per user where n is the number of users in the system. We show that our secret distribution protocol suffices for privacy and authentication as well as secure multihop communication between two users. Furthermore, we note that the number of secrets maintained in this protocol is within a constant factor of the optimal solution for this problem. For the case where user capability prevents them from maintaining the necessary secrets, we propose a probabilistic protocol that maintains O(log n) secrets per user. In this protocol, the probability of security compromise between two users is inversely proportional to the number of secrets they maintain.
Objective Words Can Improve Sentiment Classification for Word of Mouth

Word of mouth (WOM) has a strong effect on consumer behavior. A sentimental lexicon, i.e. SentiWordNet is useful for the task of WOM sentiment classification. However, most current related research ignores the problem that too many objective words are defined in SentiWordNet. In this research, we focus on the effect of objective words on the performance of WOM sentiment classification, and propose a novel sentimental relevance approach. We analyze the co-relation of each objective word and its associated sentences in order to modify the sentimental score and tendency for the objective word. This semantic-oriented approach integrated with a machine learning-oriented approach, i.e. support vector machine, is capable of making an improvement in WOM sentiment classification.
The ROL Deductive Object Base Language (Extended Abstract)

This paper presents a novel deductive object base language, called ROL (Rule-based Object Language), which has been implemented a t t he University of Regina and is available via anonymous j? p. It effectively integrates important features of object-oriented databases and deductive databases into a uniform framework. It supports object-oriented features such as object identity, complex objects, classes, class hierarchy, multiple inheritance, and schema. It also supports structured values such as functor objects and sets, treats them as first class citizens, and provides powerful mechanisms for representing both partial and complete information on sets. It is an extension of pure valued-oriented deductive languages such as Datalog and LDL (without grouping) and subsumes them as special cases. Furthermore, it has a logical semantics t hat cleanly accounts for all of its object-oriented and value-oriented features.
Potential Applications of Immobilized β-Galactosidase in Food Processing Industries

The enzyme β-galactosidase can be obtained from a wide variety of sources such as microorganisms, plants, and animals. The use of β-galactosidase for the hydrolysis of lactose in milk and whey is one of the promising enzymatic applications in food and dairy processing industries. The enzyme can be used in either soluble or immobilized forms but the soluble enzyme can be used only for batch processes and the immobilized form has the advantage of being used in batch wise as well as in continuous operation. Immobilization has been found to be convenient method to make enzyme thermostable and to prevent the loss of enzyme activity. This review has been focused on the different types of techniques used for the immobilization of β-galactosidase and its potential applications in food industry.
Life stories managing chronic illness: Young adults’ lived experiences with type 1 diabetes

This study aimed to characterise diabetes management experiences of South African young adults living with well-controlled type 1 diabetes (n = 8, female = 5, male = 3, age range = 20–25). The young adults told life stories managing their type 1 diabetes. Thematic analysis revealed the young adults to construct personal identities as people living with type 1 diabetes, to mostly utilise emotion-focused management strategies and social support for successful living with type 1 diabetes. Behavioural health strategies appear important for living well with this chronic insulin deficiency condition.
Reasoning with Imprecise Belief Structures 1

This paper extends the theory of belief functions by introducing new concepts and techniques, allowing to model the situation in which the beliefs held by a rational agent may only be expressed (or are only known) with some impreci-sion. Central to our approach is the concept of interval-valued belief structure, deened as a set of belief structures verifying certain constraints. Starting from this deenition, many other concepts of Evidence Theory (including belief and plausibility functions, pignistic probabilities, combination rules and uncertainty measures) are generalized to cope with imprecision in the belief numbers attached to each hypothesis. An application of this new framework to the classi-cation of patterns with partially known feature values is demonstrated.
Understanding nonresponse to the 2007 Medicare CAHPS survey.

PURPOSE The Medicare Consumer Assessments of Healthcare Providers and Systems (MCAHPS) survey, a primarily English-language mail survey with English and Spanish telephone follow-up, is the primary means of assessing the health care experiences of American seniors. We examine unit (whole survey) and item nonresponse for this survey to explore issues regarding surveying seniors about their health care. DESIGN AND METHODS We describe overall rates and analyze predictors of unit and item nonresponse for the 695,197 Medicare beneficiaries selected for the 2007 MCAHPS survey (335,249 unit respondents, 49% overall response rate). RESULTS Asians, African Americans, and Hispanics responded at adjusted response rates 7-17 percentage points lower than non-Hispanic Whites (p < .001 for each). Among seniors, response rates dropped beyond age 75. Asians and older beneficiaries were especially likely to respond by mail, and African Americans and Hispanics by phone. Breakoff from telephone surveys was most common among African Americans and older respondents. Among respondents, older age was the strongest predictor of item missingness (e.g., those 85 years and older failed to answer items at twice the rate of those aged 65-74 years, p < .001). Non-Hispanic Whites had lower rates of item missingness than other racial/ethnic groups (p < .001 for each; one-third lower than African Americans). IMPLICATIONS Survey research on older adults, especially regarding racial/ethnic disparities in health care, could benefit from improved response rates. These results suggest that targeted prenotification materials and campaigns, tailored follow-up, targeted Spanish mailings, Chinese translations/calls, and adjustments to telephone protocols may improve representation and response.
Getting connected while aging: the effects of WeChat network characteristics on the well-being of Chinese mature adults

We Chat is one of the most popular social media applications, ranking fifth globally. Drawing on the socioemotional selectivity theory, this study investigated the usage of WeChat among Chinese aged 50–80 years in 68 cities across the country. This study is the first to examine the effects of the characteristics of the WeChat network on users’ psychological well-being (PWB) and subjective well-being (SWB). The results of the online survey (N = 506) suggested that making strong connections on WeChat positively affected the participants’ PWB and SWB. Connecting with individuals who shared the same interests also improved the participants’ PWB and SWB. However, connections with neighbors on WeChat decreased their PWB. Our findings have valuable implications for social networking platform designers, social workers, and the community of both emerging seniors and senior citizens.
The cognitive processes underlying complex analogies: Theoretical and empirical advances.

The psychological investigation of complex analogies (like the solar system / atom analogy) began in the late 1970s and in the intervening period has grown into a prototypical, area of Cognitive Science research. During this time the investigation of complex analogies have gone from rough general notions to detailed computational models. This paper traces the theoretical and empirical development in the area and plots the major advances which have occurred. Apart from reviewing the literature, the main aim of the paper is to present this area as a template for the development of other Cognitive Science research topics. Thus, it should have important implications for the methodology of modern research in Cognitive Psychology. Finally, some outstanding problems in the area and likely directions for future research are considered. Complex Analogies 3 Keane
Structural neuroimaging of social cognition in progressive non-fluent aphasia and behavioral variant of frontotemporal dementia

Social cognition impairments are pervasive in the frontotemporal dementias (FTD). These deficits would be triggered by (a) basic emotion and face recognition processes as well as by (b) higher level social cognition (e.g., theory of mind, ToM). Both emotional processing and social cognition impairments have been previously reported in the behavioral variant of FTD (bvFTD) and also in other versions of FTDs, including primary progressive aphasia. However, no neuroanatomic comparison between different FTD variants has been performed. We report selective behavioral impairments of face recognition, emotion recognition, and ToM in patients with bvFTD and progressive non-fluent aphasia (PNFA) when compared to controls. Voxel-based morphometry (VBM) shows a classical impairment of mainly orbitofrontal (OFC), anterior cingulate (ACC), insula and lateral temporal cortices in patients. Comparative analysis of regional gray matter related to social cognition deficits (VBM) reveals a differential pattern of fronto-insulo-temporal atrophy in bvFTD and an insulo-temporal involvement in PNFA group. Results suggest that in spite of similar social cognition impairments reported in bvFTD and PNFA, the former represents an inherent ToM affectation whereas in the PNFA these deficits could be related to more basic processes of face and emotion recognition. These results are interpreted in the frame of the fronto-insulo-temporal social context network model (SCNM).
EMPOWERING CRITICAL THINKING WITH RICORSE LEARNING MODEL

Abstract: This study aims to determine the effect of Ricosre learning model on students' critical thinking skills. This research was conducted in SMA Negeri 10 dan 4 Malang with total partistipan as many as 136 students. The research design used was nonequivalent pretest-posttest control group design. Data on students' critical thinking skills were obtained from the results of the essay test, and the results were analyzed by Anacova technique. The results showed that Ricosre had an effect on students' critical thinking. Abstrak : Penelitian ini bertujuan untuk mengetahui pengaruh pembelajaran Ricosre terhadap keterampilan berpikir kritis siswa. Penelitian ini dilakukan di SMA Negeri 10 dan 4 Malang dengan jumlah partistipan sebanyak 136 siswa. Rancangan penelitian yang digunakan adalah nonequivalent pretest-posttest control group design. Data keterampilan berpikir kritis diperoleh dari hasil tes essay, dan hasilnya dianalisis dengan teknik Anacova. Hasil penelitian menunjukkan bahwa Ricosre berpengaruh terhadap berpikir kritis siswa.
Extending WS-Agreement for dynamic negotiation of Service Level Agreements

Services in commercial or scientific environments often nee d to be delivered at a guaranteed service level. This becomes even more important, if composition of services is required, as results will become available for the requester within a predictable timeframe only if the orchestration pr ocess may create Service Level Agreements (SLAs) for the individual services. WS-Agreement is a proposed recommendation of the Open Grid Forum (OGF) defining a language and a protocol to create SLAs. As the current version of the specification of WS-Agreement provides only a simple, one-step approach for the creation of SLAs the GRAAP working group of the OGF started working on a more sophisticated protocol allowing multi-step negotiations to create agreements. In this paper we present the approach for negotiations of SLAs using WS-Agreement under specifica tion at the OGF. We describe the state of the work and give an outlook of the next steps until the specification will become a proposed recommendation.
On the Relationship between LS-SVM, MSA, and LSA

Summary A common task in signal processing is to approximate adequately a signal. It is crucial to understand various methods to this task. In this paper we survey three different approximation methods: least squares support vector machine (LS-SVM), multiresolution signal approximation (MSA), and least squares approximation (LSA) to highlight their mathematical relationship. Based on the theoretical analysis, we prove that LS-SVM is identical to the LSA with the minimum norm solution, and MSA is identical to the LSA with the least squares solution. Therefore, both LS-SVM and MSA can be derived as specific instances of LSA.
Liquid-tissue behavior and differential cohesiveness during chick limb budding.

Emerging chick limb-buds at first grow only in length, not width. The growth parameters of limb mesoderm--cell shapes, distributions, division patterns and cleavage orientations--are incompatible with representations of this tissue as an elongating solid composed of proliferating but immobile cells. We observe that samples of both early limb mesoderm and also surrounding flank mesoderm round up like liquid droplets in organ culture. Therefore, liquid-like tissue rearrangments, including cell shuffling movements and neighbor exchanges, may occur in limb and flank mesoderm during in vivo limb budding. If so, differences in limb-flank surface tension properties would have to be present to keep these two fluid cell populations segregated into distinct tissues and properly positioned underneath limb and flank ectoderm. Previous studies have shown that tissue surface tensions are reflected in the spreading behavior of fused pairs of cell aggregates. To determine whether or not they possess differing surface tension properties, we pair excised pieces of early leg-bud, wing-bud or intervening flank mesoderm with pieces of 5 3/4-day heart or liver in hanging drop cultures. For more rapid determinations of relative liquid-tissue cohesiveness than can be obtained in conventional, long-term experiments, aggregate pairs are fixed shortly after fusion. Since partial-envelopment configurations depend upon relative aggregate sizes as well as their tissue surface tensions, new procedures are used to deduce relative aggregate cohesiveness from cross-sections of these briefly fused aggregate pairs. The envelopment tendencies of aggregates fixed 6--9 h after fusion are similar to those fixed 15--19 h after fusion: heart tends to surround leg; heart and wing surround each other with similar frequencies, but flank tends to surround heart. Also, liver tends to surround leg and wing, but flank tends to surround liver. When the effects of relative aggregate size are taken into account, these non-random, tissue-specific patterns of aggregate envelopment indicate that the relative cohesiveness of these tissues falls into the sequence: leg greater than heart congruent to wing greater than liver greater than flank. The in vitro behavior of early limb-bud and neighboring flank mesoderm in these studies suggests that they are not simply mechanically identical portions of a single liquid tissue. We have previously proposed that early limb-bud mesoderm may act like a non-dispersing, cohesive liquid droplet which is embedded within a less cohesive fluid layer of flank tissue (and which is molded distally into paddle-shaped conformations by solid-like limb ectoderm and/or subjacent extracellular matrix). This proposal is not only compatible with the growth parameters of limb-bud mesoderm in vivo, but is also consistent with our observation that flank mesoderm surrounds tissues which surround limb mesoderm in these aggregate-fusion experiments. Our model suggests that differences in the surface tension properties of limb vs.
A Wide Range of 3243A>G/tRNALeu(UUR) (MELAS) Mutation Loads May Segregate in Offspring through the Female Germline Bottleneck

Segregation of mutant mtDNA in human tissues and through the germline is debated, with no consensus about the nature and size of the bottleneck hypothesized to explain rapid generational shifts in mutant loads. We investigated two maternal lineages with an apparently different inheritance pattern of the same pathogenic mtDNA 3243A>G/tRNALeu(UUR) (MELAS) mutation. We collected blood cells, muscle biopsies, urinary epithelium and hair follicles from 20 individuals, as well as oocytes and an ovarian biopsy from one female mutation carrier, all belonging to the two maternal lineages to assess mutant mtDNA load, and calculated the theoretical germline bottleneck size (number of segregating units). We also evaluated “mother-to-offspring” segregations from the literature, for which heteroplasmy assessment was available in at least three siblings besides the proband. Our results showed that mutation load was prevalent in skeletal muscle and urinary epithelium, whereas in blood cells there was an inverse correlation with age, as previously reported. The histoenzymatic staining of the ovarian biopsy failed to show any cytochrome-c-oxidase defective oocyte. Analysis of four oocytes and one offspring from the same unaffected mother of the first family showed intermediate heteroplasmic mutant loads (10% to 75%), whereas very skewed loads of mutant mtDNA (0% or 81%) were detected in five offspring of another unaffected mother from the second family. Bottleneck size was 89 segregating units for the first mother and 84 for the second. This was remarkably close to 88, the number of “segregating units” in the “mother-to-offspring” segregations retrieved from literature. In conclusion, a wide range of mutant loads may be found in offspring tissues and oocytes, resulting from a similar theoretical bottleneck size.