Miracle-dz/UniFAR-FTUs huggingface dataset:
EVLİLİKTE YETKİNLİK ÖLÇEĞİNİN GELİŞTİRİLMESİ: GEÇERLİK VE

The purpose of this study was that Marital Self-efficacy Scale was developed and examined its validity and reliability in order to determine * Bu çalışma, Gazi Üniversitesi Bilimsel Araştırmalar Projesi tarafından desteklenen “Türkiye’de Evlilik Doyumunu Etkileyen Faktörler: Bir Model Geliştirme Çalışması” adlı çalışmanın bir bölümüdür. 14. Ulusal Psikoloji Kongresinde, ANKARA, 6-8 EYLÜL 2006 poster bildiri olarak sunulmuştur. ** Araş. Gör. , Gazi Üniversitesi Gazi Eğitim Fak. Psikolojik Danışma ve Rehberlik ABD. Beşevler-ANKARA *** Prof. Dr., Gazi Üniversitesi Gazi Eğitim Fak. Psikolojik Danışma ve Rehberlik ABD. Beşevler-ANKARA Hüdayar Cihan Güngör ve Yaşar Özbay 80 married people’ belief about personal and social efficacy in marital reationship. Data were collected from 436 married people who graduate from high school and/or higher level education. MSS is a 5point Likert scale. This scale consists of 33 items, none of which is reversed. First, the construct validity of the MSS tested by the principle component analysis of descriptive factor analysis and confirmatory factor analysis. In descriptive factor analysis, a two factor structure was found. The first factor explained 44.95 % of the total variance. It was called “Partner Relationship” because it was consisted of partner relationship items. The second factor explained 9.50 % of the total variance. It was called “Relationship by Close Enviroment” because it was consisted of relationships which were with people out of family. The factors of the scale explained of 54.45 % for total variance. At the same time, confirmatory factor analysis was applied. The confirmatory factor analysis showed a two factor solution. It explained relations among items better than a one factor solution. In the last stage, the relations among factors were postulated to grow out of self-efficacy upper dimension and second order factor analysis was applied. In conclusion, fit index of model which was represented by 33 items, two subscales and an upper dimension was found quite high ( 2 x =2068.66, p<.000, GFI=.99, AGFI=.99, CFI=1.00 ve RMSEA=.09). In order to test concurrent validity, correlation between DAS and MSS which is calculated by Pearson Momentum Correlation Coefficients was r= . 66 p<. 01. In order to determine the reliability of the scale, Cronbach Alpha Coefficients of the whole scale was . 96. The findings indicated that MSS was a valid and reliable instrument that can be used to understand structure and quality of marriage relationship.
Factors Influencing Acceptance of Contract Farming Among Youth

Modern farming methods like contract farming have a great potential in ensuring the sustainability of the agricultural sector. Undoubtedly, youth, being the pillar of society, have an important role in ensuring the survival of agriculture globally. Hence, this study attempts to gauge the level of acceptance of youth towards contract farming and to determine the factors that will have an impact on their level of acceptance. A survey using quantitative methodology was the medium used to collect data from a total number of 400 undergraduates from four tertiary institutions in Malaysia. Data obtained were analysed using the SPSS software. Results showed that the respondents had a high positive acceptance of contract farming while further analysis showed that the significant predictors of acceptance of contract farming were attitude, knowledge and belief. The study also portrayed that education is important in motivating our youth to take up agriculture as a source of livelihood. Relevant exposure to knowledge, information and belief, will enable our youth to participate in the agriculture sector appropriately.
Identifying the implementation barriers of strategic management using factor analysis and TOPSIS Technique

This study, with the aim of ranking and improving the implementation barriers of strategic management in Petro-pars Company (PPC), enjoys key tools of the Multi-Criteria Decision Making. The result of indicators importance ranking using TOPSIS technique reveals that three indicators, including ineffective senior management team, conflict at organizational culture for resistance against implementation of strategic planning and lack of consensus among the organization leaders, are of the greatest importance as barriers. Indicators such as non-use of internal leaders knowing the necessities and how-ness of implement improvement and lack of support by senior managers have the less importance.
Investigation of the Central and Peripheral Analgesic and Anti-inflammatory Activity of Kutajarishta, an Indian Ayurvedic formulation

Kutajarishta (KTJ) is an Ayurvedic formulation approved by the National formulary of Ayurvedic Medicine 2011, of Bangladesh. It is widely available in the Bangladeshi market as an effective preparation to treat lumbago, sciatia and arthritic pain of joints. Our present studies make an attempt toward identifying probable anti-nociceptive and anti-inflammatory mechanisms of KTJ. KTJ, at three doses, (10mL/kg, 20mL/kg, and 40mL/kg) showed no involvement of the CNS in anti-nociceptive activity of KTJ. Carrageenan induced paw edema and acetic acid writhing tests both gave significant results (P ? 0.05), indicating possible peripheral analgesic and anti-inflammatory action. Formalin induced paw-licking test showed that KTJ had significant effect in suppressing inflammatory pain (P? 0.05) but not neurogenic pain. Hence our study shows anti-inflammatory and peripheral analgesic action for KTJ.
THE THINKING SPACE: THE ENACTMENT OF A PLATFORM FOR CSP

This paper focuses on describing the process of enactment of a ‘platform’, namely, The Thinking Space (TS), as a device for Critical Systems Practice CSP. This is part of a research project that generated a series of findings contributing to the study of the process whereby different systems methodologies, methods, tools and techniques are used in combination. This process is known as Critical Systems Practice (CSP). The study yielded ‘defensible generalisations’ from a series of research themes explored. These defensible generalisations or contributions relate to three research issues relevant to CSP, namely, (a) pluralism, (b) improvement, and (c) the role of the agent. The learning derived from these research themes led the researcher to formulate the ‘transferable problem solving capability’ of the study: the enactment of ‘platforms’ as devices for operationalising CSP. Platforms are defined as ‘organisational and intellectual spaces’ enacted by actors and evolving with the changing nature of actors’ moment-to-moment interactions, by means of engaging in a continuous mutual research endeavour and of engaging in enhancing collective competence, in order to pursue an informed practice (to pursue CSP). The study is the result of reflection and debate, which was reciprocally enriched by theory and practice. It presents the findings of an organisation-based action research project, where the researcher entered into a real-world situation and aimed both at improving it and acquiring knowledge about the experience. He became, for a period of three years, involved in the flux of ‘real-world problems’ within an engineering company that invited him to do research by using systems ideas in practice. This paper thus recapitulates on the contributions that this research endeavour had on the three research themes focusing on the emergence of a particular ‘platform’, the Thinking Space (TS), as a device for operationalising CSP; the fourth ‘emergent’ research theme. Concerning the ‘transferable problem solving capability’ of the study, the TS is one particular device considered to provide evidence for proposing the research theme of ‘platforms’.
Discriminating cognitive processes with eye movements in a decision-making driving task.

An experiment was conducted in a driving simulator to test how eye-movements patterns evolve over time according to the decision-making processes involved in a driving task. Participants had to drive up to crossroads and decide to stop or not. The decision-making task was considered as the succession of two phases associated with cognitive processes: Differentiation (leading to a prior decision) and Consolidation (leading to a final decision). Road signs (Stop, Priority and GiveWay) varied across situations, and the stopping behavior (Go and NoGo) was recorded. Saccade amplitudes and fixation durations were analyzed. Specific patterns were found for each condition in accordance with the associated processes: high visual exploration (larger saccade amplitudes and shorter fixation durations) for the Differentiation phase, and lower visual exploration (smaller saccades and longer fixations) for the Consolidation phase. These results support that eye-movements can provide good indexes of underlying processes occurring during a decision-making task in an everyday context.
I see it in my hands’ eye: Representational gestures reflect conceptual demands

The Information Packaging Hypothesis (Kita, 2000) holds that gestures play a role in conceptualising information for speaking. According to this view, speakers will gesture more when describing difficult-to-conceptualise information than when describing easy-to-conceptualise information. In the present study, 24 participants described ambiguous dot patterns under two conditions. In the dots-plus-shapes condition, geometric shapes connected the dots, and participants described the patterns in terms of those shapes. In the dots-only condition, no shapes were present, and participants generated their own geometric conceptualisations and described the patterns. Participants gestured at a higher rate in the dots-only condition than in the dots-plus-shapes condition. The results support the Information Packaging Hypothesis and suggest that gestures occur when information is difficult to conceptualise.
The Gaussianity Evaluations of Malaysian Stock Return Volatility

We study the distribution of standardized returns by using various frequencies data. The empirical standardized returns are obtained by using the unobserved and observable daily volatility. Our empirical results evidence the realized-standardized returns follow nearest to a Gaussian distribution. On the other hand, the standardized returns using daily closing and range-based data are able to reduce but not fully eliminate the excess kurtosis condition compare to the realized standardized returns.
The Productivity Effects of Worker Replacement in Young Firms

Existing management research has so far dealt with the consequences of labor turnover for established firms, but has not addressed its effect on young entrepreneurial businesses. In this paper I assess, both theoretically and empirically, the productivity effects of worker replacement in young firms. Worker replacement isolates labor turnover due to employee replacement as a separate category of turnover and has been shown to positively affect the productivity of established firms in previous research. Using a large and representative sam- ple of German start-ups, I show that worker replacement has negative effects on young firms’ productivity that remain even when controlling for moderating factors. These effects are even more negative when the founder does not have prior managerial experience.
Effects of free-air CO 2 enrichment (FACE) and soil warming on CH 4 emission from a rice paddy field: impact assessment and stoichiometric evaluation

Abstract. Paddy fields are an important source of atmospheric CH4, the second most important greenhouse gas. There is a strong concern that the increasing atmospheric CO2 concentration ([CO2]) and global warming are further stimulating CH4 emissions, but the magnitude of this stimulation varies substantially by study, and few open-field evaluations have been conducted. Here we report results obtained at a Japanese rice free-air CO2 enrichment (FACE) site under water and soil temperature elevation during two growing seasons. Our objectives were to evaluate the effects of high [CO2] (ambient + 200 μmol mol−1) and elevated soil temperature (+ 2 °C) on CH4 emissions under completely open-field conditions. We found about 80% enhancement in total seasonal emissions by the additive effects of FACE and warming, indicating a strong positive feedback effect of global warming. The enhancement in CH4 emission from the FACE-effect alone (+ 26%) was statistically non-significant (P = 0.19). Nevertheless, observed positive correlations between CH4 emissions and rice biomass agreed well with previous studies, suggesting that higher photosynthesis led to greater rhizodeposition, which then acted as substrates for methanogenesis. Soil warming increased the emission by 44% (P
Ultraviolet Radiation Exposure Induces Corneal Degeneration in 129 Mice. Newkirk K, Chandler H, Parent A, Young D, Colitz C, Wilkie D, Kusewitt D

Ultraviolet radiation (UVR) is a risk factor for the development of ocular disease in humans, including acute photokeratitis, chronic corneal spheroidal degeneration, and cataract formation. This report describes the ocular lesions seen in 21 mice chronically exposed to UVR as part of a skin carcinogenicitystudy.Allglobeswereaffectedtovaryingdegrees. Theprimarylesion,notpreviouslyreportedinUVR-exposedmice,wasmarkedlossofkeratocytesrelativetoage-matchedcontrols.Secondarylesionsincludedcornealstromalthinning,keratoconus,cornealvascularizationandﬁbrosis,keratitis,globerupture,andphthisisbulbi.Inaddition,morethan90%ofUVR-exposedandunexposedlenseshadevidenceofcataractformation;thisistheﬁrstreportoftheoccurrenceofspontaneouscataractsin129mice. Inasubsequentstudy,apoptoticcellswereidentiﬁedhistologicallyand by cleaved caspase 3 immunoreactivity in the corneal epithelium and, less commonly, in the corneal stroma after acute UVR exposure. Based on this ﬁnding, we propose that the loss of keratocytes observed in the chronic study was due to UVR-induced apoptosis.
New approach for the manipulation of anaerobic fungi in the rumen.

Ruminal anaerobic fungi are important contributors to the utilization of poor-quality, high fibre pastures and crop residues by ruminants. The sensitivity of these unusual microorganisms to a low sulfur content in the diet suggested a means for manipulating them in the rumen by the use of dietary sulfur supplements. However, this approach has remained undeveloped to date. An alternative method for manipulating the fimgal contribution to fibre utilization, which involves the oral inoculation of “superior” strains of anaerobic fungi into the sheep rumen, is currently under investigation.
Study of community aware network expanion

Community detection has gained immense popularity in recent years. Real world networks consist of millions of nodes and edges. Groups of nodes exhibit interesting characteristics, whose knowledge can be of great help in various fields. Moreover, networks in the real world are ever evolving and it is impossible to have complete information about a network at any given time. The aim of this thesis is to study the different techniques for the exploration of the incomplete network available. The motive is to explore the incomplete network such that nodes which are in the community of the known nodes are brought into the network. We build a machine learning model to predict which node should be explored. We study four methods for selecting the next node to be explored namely, BFS, Random, Machine Learning and Maximum global clustering coefficient. For identifying the communities of the nodes of the incomplete network we study three algorithms namely, community detection by hopcount, community detection by maximizing modularity, and community detection by maximizing permanence. We observe that Machine learning classifier is the best approach to maximize the recall by exploring least number of nodes, whereas global clustering coefficient is the best approach for maintaining high precision. BFS gives better f1-score as compared to other approaches for higher budget. The community detection algorithms are performing equally well. Though with only a slight margin, HopCount method of community detection gives better results for recall and permanence maximization gives better results for precision.
Sistema de Recomendação de Música Baseado em Emoções

Most music recommendation systems focus solely on music similarity techniques to suggest songs, disregarding the listener’s emotional context. This thesis describes a system that proposes a recommendation strategy that orders songs by music annotation proximity on the Valence-Arousal emotion model. It also considers a second strategy that applies psychoacoustic models. The technique relies on a modeling via Mel Frequency Cepstral Coefficients extraction from songs. Additionally, this thesis proposes an experiment that consists on the evaluation of the quality of the recommendations according to the listener’s emotional perception in music. Both recommendation strategies are then compared to understand which performs best. The results demonstrate that recommendations that use emotional annotations have a better performance, wherein the user profile and distribution of emotions selected by listeners on the bidimensional plane of emotions does not influence the evaluation of recommendations. To conclude, several suggestions on how to continue and improve this work are made, aiming the future application of this approach in an academic context and/or in a commercial product.
Antimicrobial Potential of Some Local Spices Used in Ghanaian Meals

1 Department of Pharmaceutical Sciences, Faculty of Health Sciences, Kumasi Polytechnic, P.O. Box 854, Kumasi-Ghana 2 Department of Laboratory Technology, Faculty of Health Sciences, Kumasi Polytechnic, P.O. Box 854, Kumasi-Ghana 3 Department of Hotel, Catering and Institutional Management, Faculty of Applied Sciences, Kumasi Polytechnic, P.O. Box 854, Kumasi-Ghana 4 Department of Medical Laboratory Sciences (MEDLAB), School of Allied Health Sciences, College of Health Sciences, University of Ghana, P. O. Box KB 143, Korle-Bu, Accra, Ghana, W/A *Corresponding author
Comparison of Clinical Effectiveness of Folfirinox versus Gemcitabine on Quality of Life in Patients with Pancreatic Cancer Stage IV

Objective: The aim of this study is to assess the clinical effectiveness of folfirinox (Fol) compared with gemcitabine (Gem) on quality of life (QOL) that predicts survival in patients with Stage IV of pancreatic cancer. Materials and Methods: A total of 34 patients suffering from metastatic pancreatic adenocarcinoma were randomized into two groups, the Gem group (n = 17) and Fol group (n = 17). The first group was treated with Gem in a dose of 1000 mg/m2 once weekly for 7 weeks, followed by 1 week of rest during the first cycle and subsequently 1000 mg/m2 once weekly for 3 weeks followed by 1 week of rest. The second group was treated with Fol (oxaliplatin 85 mg/m2, irinotecan 180 mg/m2, leucovorin 400 mg/m2, and fluorouracil 400 mg/m2 bolus, followed by 2400 mg/m2 on 46-h continuous infusion) once every 2 weeks. The QOL was measured by the functional assessment of cancer therapy (FACT)-hepatobiliary cancer scale. Results: Thirty-four of randomized patients completed the study, and there were no significant differences among the two groups at baseline demographic characteristics. Overall QOL, P value shows the significance of correlation for components of FACT in all scales between Fol-group and Gem-group. Median survival time for the entire cohort was 14.1 months for Fol-group compared to Gem-group which was 9.2 months. P value shows the significance of the correlation between survival rate and stage of tumor, in Fol-group versus Gem-group (P = 0.0001). Conclusions: We conclude that Fol significantly improves QOL, physical functioning and survival time in advanced pancreatic cancer patients in comparison with Gem.
Comparison of Cognitive Decision Making, and Social Judgment, in schizophrenia Patients and Normal Controls

The purpose of this study was to compare the cognitive decision making, and social judgment in schizophrenic patients and normal people. The causal-comparative research, and case control study. This study included 40 patients with schizophrenia and 40 normal individuals who, as a convenience, and according to gender, age, education and drug use were matched for data collection, analysis and cognitive decision, and social judgment and Inventory questionnaire positive symptoms, and negative schizophrenia were used. Research data by multivariate analysis of variance, LSD post hoc test and multiple regression analyzes, the data were analyzed. Multivariate analysis of variance showed that the decisions and judgments of social cognition in patients with schizophrenia and normal controls, there is a significant difference. (Explain in simple sentences) In other words, each of the decision variables and social judgment, the "schizophrenic patients compared with normal subjects," significantly less. The results of multiple regression analyzes showed that 48% of the variance in negative symptoms, and 44% of the variance in positive symptoms, judging by social, cognitive and decision-making are explained. These results have important implications in the field of pathology, symptom recognition, and treatment of schizophrenia and bipolar. (biopolar: delet)
Fault Tolerance Design for Hadoop MapReduce on Gfarm Distributed Filesystem

Many distributed file systems that have been designed to use MapReduce, such as Google file system and HDFS (Hadoop Distributed File System), relax some POSIX requirements to enable high throughput streaming access. Due to lack of POSIX compatibility, it is difficult for programs other than MapReduce to access these file systems. It is often need to import files to these file system, process the data and then export the output into a POSIX compatible file system. This results in a large number of redundant file operations. In order to solve this problem we have proposed[9] Hadoop-Gfarm plugin to be able to execute MapReduce jobs directly on top of Gfarm, a globally distributed file system. In this paper we analyse the redundancy and reliability for a fault tolerance design for Hadoop-Gfarm plugin. Our evaluation shows that Hadoop-Gfarm plugin can offer a reliable solution and performs just as well as Hadoop’s native HDFS, allowing users to use a POSIX-compliant API and reduces redundant copy without sacrificing performance.
Analysis of Terahertz-Induced Optical Phase Modulation in a Nonlinear Dielectric Slab

Frequency shift of the spectrum of an incident optical pulse by an intense THz pulse inducing cross-phase modulation (XPM) in a nonlinear dielectric slab is analyzed. The efiect is predicted with a high degree of accuracy using the well-known transmission line matrix (TLM) technique. In this research, to model the THz-induced temporal and spatial variation of the dielectric permittivity of the nonlinear dielectric slab, the transmission lines of the TLM method are loaded with open shunt stubs. The parameters of the stubs are modifled in accordance with the refractive index variation of the dielectric slab, here ZnTe, induced by the strong THz pulse. The obtained numerical results are verifled with a recently reported experimental work.
Optimal Power Minimization in Two-way Relay Network with Imperfect Channel State Information

We study a two-way amplify and forward relay network with two transceivers which communicate through a network of nr relays while there is no direct link between the two transceivers. Each relay is equipped with a single antenna for transmitting and receiving. We study the minimization of the total transmit power that is used in all of the network nodes given the condition that the transceiver which calculates the optimal transmitting power has a full knowledge about the channels between itself and the relays and the variance with zero mean of the channels between the relays and the other transceiver. The total average power is minimized subject to a soft constraint which guarantees that the outage probability is below a certain level. The optimal solution is derived in closed form and leads to a single relay selection criterion.