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Title: 
Author(s): 

Moazzami Dara

Issue Info: 
  • Year: 

    2020
  • Volume: 

    52
  • Issue: 

    1
  • Pages: 

    175-182
Measures: 
  • Citations: 

    0
  • Views: 

    151
  • Downloads: 

    117
Abstract: 

The edge-Tenacity Te(G) of a graph G was de ned as Te(G) = min F E(G) f j F j + (G 􀀀 F)! (G 􀀀 F) g where the minimum is taken over all edge cutset F of G. We de ne G-F to be the graph induced by the edges of E(G)􀀀 F,  (G􀀀 F) is the number of edges in the largest component of the graph induced by G-F and! (G 􀀀 F) is the number of components of G􀀀 F. A set F  E(G) is said to be a Te-set of G if Te(G) = jFj+ (G􀀀 F)! (G􀀀 F) Each component has at least one edge. In this paper we introduce a new invariant edge-Tenacity, for graphs. it is another vulnerability measure. we present several properties and bounds on the edge-Tenacity. we also compute the edge-Tenacity of some classes of graphs.

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Author(s): 

DINTER P.S. | MULLER W.

Issue Info: 
  • Year: 

    1988
  • Volume: 

    186
  • Issue: 

    3
  • Pages: 

    278-288
Measures: 
  • Citations: 

    1
  • Views: 

    147
  • Downloads: 

    0
Keywords: 
Abstract: 

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

MOAZZAMI D.

Journal: 

Issue Info: 
  • Year: 

    2003
  • Volume: 

    36
  • Issue: 

    4 (78)
  • Pages: 

    495-504
Measures: 
  • Citations: 

    0
  • Views: 

    1058
  • Downloads: 

    0
Keywords: 
Abstract: 

For any fixed integers m, n, with m≥n+1, we consider classes of graphs, that are n-connected with the minimum number of edges. Gmn Graphs are examples of graphs with maximum connectivity. This property makes them useful to network designers and thus it is of interest to study the behavior of other stability parameters for these graphs. In this paper we study the Tenacity of the Gmn when "m" is even and "n" is odd number.

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Issue Info: 
  • Year: 

    2016
  • Volume: 

    8
  • Issue: 

    6
  • Pages: 

    7-12
Measures: 
  • Citations: 

    1
  • Views: 

    1224
  • Downloads: 

    0
Abstract: 

Aims: The students’ academic achievements are noticed by the managers of academic centers. One of the major factors in the academic achievements is academic enthusiasm. The aim of this study was to predict the academic enthusiasm based on spiritual intelligence and psychological Tenacity in the students of Birjand University of Medical Sciences.Instrument & Methods: In the correlational cross-section study, 165 students of Birjand University of Medical Sciences were studied in 2015-16 academic year. The subjects were selected based on Morgan table and via stratified random sampling method. Data was collected using spiritual intelligence, Ahvaz psychological Tenacity, and academic enthusiasm scales. Data was analyzed by SPSS 22 software using Pearson correlational coefficient, synchronic regression, and independent T test.Findings: There were positive and significant correlations between academic enthusiasm and spiritual intelligence (r=0.10) and psychological Tenacity (r=0.21; p<0.01).0.16 of academic enthusiasm variance were predicted by spiritual intelligence and psychological Tenacity, mutually.Of the components of spiritual intelligence, existential critical thinking and transcendental consciousness could predict academic enthusiasm, only.Conclusion: Academic enthusiasm can be predicted based on spiritual intelligence and psychological Tenacity.

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Author(s): 

SALEHI MAHNAZ

Journal: 

Issue Info: 
  • Year: 

    2004
  • Volume: 

    17
  • Issue: 

    3 (64 IN ANIMAL AND FISHERIES SCIENCES)
  • Pages: 

    58-62
Measures: 
  • Citations: 

    1
  • Views: 

    1024
  • Downloads: 

    0
Abstract: 

The right middside wool samples were collected from male Baluchi sheep and 198 wool samples selected for determining of staple length, fiber Hauteur and Barbe length, fiber diameter and coefficient of varision of fiber diameter, Tenacity and breaking force. The Pearson correlation factors obtained by using SAS software package Averaga staple length, Fiber Hauteur and Barbe length, mean fiber diameter and coefficient of varision of fiber diameter, Tenacity and breaking force were 6.95±0.07cm, 28.07±2mm, 42.49±3mm, 27.89±1.9mu, 39.86±2.8%.,4.41±0.3 grf/tex and 3.44±0.24 kg fres. Correlation between staple length with fiber Barbe length coefficient of version of fiber length , Tenacity and breaking Load were p<0.0001 positive Fiber Barbe length had significantly p<0.001 positive with mean diameter and Tenacity (r=0.3 and r = 0.36) rep. Tenacity had negative correlated p<0.003 with coefficient of version of fiber diameter(r = -0.26) but there was not significantly correlation between mean fiber diameter with Tenacity.

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Issue Info: 
  • Year: 

    2024
  • Volume: 

    31
  • Issue: 

    1
  • Pages: 

    1-13
Measures: 
  • Citations: 

    0
  • Views: 

    20
  • Downloads: 

    0
Abstract: 

Background & Aims: Every year knowledge-seekers are admitted into universities as new students. . Researchers believe that students, like employees and workers, engage in compulsive and regular activities [and] on specific goals. Therefore, students' activities can be considered as "work" and "occupation" (1). Excessive study workload, content presentation, professor’s requests and expectations of students, highly educational expenses, and apprenticeship in underrepresented areas in some educational fields such as medicine led to exhaustion, lack of motivation, disinterest to courses, apathy to educational settings and indifference to rules and regulations, and discouragement. Overload of these problems in the long term led to confusion, emotional disturbances and finally burnout. Medical students, rather than other students, are more prone to distress due to patient mortality, exposure to patients with complicated care needs, interpersonal challenges, high workload, visiting too many patients in a day, decision-making responsibility in emergencies without having sufficient knowledge, accountability against their decisions, working under mental pressure to avoid medical errors, being exposed to violence and threats in the workplace, and doing night shifts (3). Burnout is a psychological and emotional fatigue that is the result of chronic stress syndrome such as role burden, pressure and time constraints, and lack of necessary resources to conduct tasks and duties. Research has indicated that academic burnout is similar to job burnout in terms of its features, antecedents, and outcomes. Job burnout is defined as one of the major health indicators of psychological health with three dimensions of fatigue, apathy (doubt and pessimism), and inefficiency (4). Academic burnout in students means feeling exhausted to complete assignments and studying (academic fatigue), having pessimistic attitude to education and educational content (academic disinterest), and a sense of academic incompetence (inefficiency) (2). Students suffering from burnout during their years of study will experience negative effects of burnout and will be less efficient to perform their job tasks and duties and will be less innovative in the future. Psychological research indicates that diverse internal and external factors affect academic burnout. One of these intrapersonal factors is resilience (4). Resilience is a promising and pleasant solution considering stressful situations and people’s inherent capacity to respond and endure the situation and the experience of natural growth in stressful conditions (6). According to Baratz (2015), moral resilience is the ability to cope with situations using values that people believe in, even if to follow them is difficult. Rushton (2016) and Lachman (2016) considering the definition of resilience, believe that it is the ability to return to the primary status and successful coping despite distress and adverse conditions, and it has two components. The first factor is the existing situation and problem that includes moral themes (moral adversity) (7). And the second factor is maintaining coherence and integrity according to personal beliefs and values and performing an action to overcome moral issues. The other variable that could affect academic burnout is responsibility. From Fromm’s point of view, responsibility is an absolute need and an internal commitment of the individual to perform all the responsibilities favorably and it originates from within the individual. Chamuru et al. (cited by Yuzbashi, 2018) found that discipline and achievement orientation, carefulness, persistence, and punctuality are individual performance predictors in different fields such as academic success. On the other hand, irresponsibility in education leads to consecutive failures and quitting the program of study (1-13). Tenacity as a personal characteristic is the source of resistance against life distressful events (9). It is a personality construct that includes committed direction (versus self-alienation), control (versus low power), and understanding the changes and life needs as challenge (versus threats). According to Benishiek and Lopez (2001), students who choose challenging academic programs adopt a behavior that supports them to overcome difficulties of their study program and regulate their emotional reactions when receiving feedback (10). Kobasa theory (1998) indicates that three processes of cognitive evaluation (control, commitment, and the ability to challenge), stability and perseverance are related to the confrontation time with challenging life events (9). Since medical students are responsible for maintaining and ensuring people’s health in the future, to conduct their roles as experts or health care providers (therapists) competently, educational systems must be aware of the stress inducing factors affecting them during their challenging prolonged study years during which they experience unfortunate incidences. There is no doubt that neglecting the problems and their accumulation from one hand led to waste of financial and human resources of educational departments of the universities,and, on the other hand lowers the quality of health care provision at the societal level. Therefore, considering the aforementioned, this study was an attempt to investigate the relationship between the influencing variables of academic Tenacity, academic responsibility, and morale resilience on the academic burnout of the medical students and defining an academic burnout model based on these variables. Methods: The current research is of a descriptive-correlation type (using modeling of structural relationships). The statistical population of this research is all general medical students and assistants. Also, undergraduate students of the 6th semester and above, master's degree and professional doctorate in the fields of basic sciences, rehabilitation, Para medicine and psychology, who were studying in the academic year 1400-1401 at Iran University of Medical Sciences in Tehran and among them, 216 people were selected as available. The criterion of dropping out of studies, unwillingness, for associate and bachelor students was lower than the sixth semester. In this study, students answered questionnaires about demographic information, job burnout, Tenacity, moral resilience, and academic responsibility. For data analysis, Pearson, Sobel, bootstrap correlation tests and SEM structural equation modeling were used using SPSS and Amos software (version 23). Results: Considering that the chi-square index of the hypothetical model was statistically significant at the level of P < 0. 05, therefore, the positive relationship of the academic responsibility variable as a moderating variable mediates the relationship between stubbornness and academic burnout and the relationship between moral and job resilience. Conclusion: In explaining the proposed model, it can be said that resilience does not limit stress, but rather gives people the strength to deal with the problems ahead and move with the flow of life. Academic Tenacity also refers to flexibility along with the commitment to carry out scientific and professional activities and follow up and understand students against academic failure. On the other hand, the main basis of responsibility is the way of thinking or attitude and belief of people towards themselves, others and events and happenings in the environment. Therefore, by accepting responsibility, people have the potential and readiness to move towards their goals in the moment so that they can enjoy doing their work and strengthen their sense of responsibility with a sense of worth and commitment to meet their needs. Do others. This sense of responsibility leads to increased Tenacity and flexibility and reduces burnout in the same proportion.

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Issue Info: 
  • Year: 

    2018
  • Volume: 

    50
  • Issue: 

    2
  • Pages: 

    81-87
Measures: 
  • Citations: 

    0
  • Views: 

    188
  • Downloads: 

    103
Abstract: 

In general, computation of graph vulnerability parameters is NP-complete. In past, some algorithms were introduced to prove that computation of toughness, scattering number, integrity and weighted integrity parameters of interval graphs are polynomial. In this paper, two di erent vulnerability parameters of graphs, Tenacity and rupture degree are de ned. In general, computing the Tenacity of a graph is NP-hard and the rupture degree of a graph is NP-complete, but in this paper, we will show that these parameters can be computed in polynomial time for interval graphs.

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Author(s): 

SALEHI MAHNAZ

Journal: 

Issue Info: 
  • Year: 

    2007
  • Volume: 

    20
  • Issue: 

    2 ( 75 IN ANIMAL AND FISHERIES SCIENCES)
  • Pages: 

    87-95
Measures: 
  • Citations: 

    0
  • Views: 

    1690
  • Downloads: 

    0
Abstract: 

The seasonal effect (Spring and Summer versus Autumn and Winter) on wool characteristics of Baluchi ewes were studied. The 58 female sheep 1-3 ages from Abas Abad station in East-North of Iran were selected for two years. Twice wool samples were collected from midside in Spring and Autumn. The traits studied were fleece weight at birth, 1, 2 and 3 years age - staple length at shoulder, flank and rump parts - fiber length (Hauteur and Barbe) - mean fiber diameter and coefficient of varstion - Tenacity and breaking force. The data were analyzed by repeated measurement and general liner model (GLM) using SAS software package. The result indicated that fleece weight was significantly affect by age and were 1.98±0.061, 1.15±0.03 and 2.12±0.07Kg for lamb, yearling and two years old respectively (p<0.001). At three years old fleece shorn in spring was significantly higher (2.23±0.08 kg) than that yearling (1.78±0.04kg) and two years old (1.63±0.07kg). Spring and Autumn staple lengths of shoulder, flank and rump parts were significantly different and were effected by age (p<0.001). Staple length at rump was longer than shoulder and flank. However the shoulder, flank and rump staple length in yearling Autumn wool (5±0.17, 5.14±0.17and 5.7±0.17cm), 2nd Spring wool (8.02±0.17, 6.9±0.18 and 8.76±0.18cm), 2nd Autumn wool (4.7±0.17,4.8±0.18 and 5.6±0.17cm) and 3rd Spring wool were (9.8±0.18, 8.9±0.17 and 9.8±0.18cm) res. (p<0.001). Spring and Autumn wool fiber length that measured by Hauteur and Barbe system were significantly (p<0.0001) different for ages. In yearling sheep, Autumn wool fiber diameter (32.2±0.3mu) was coarser than in spring wool at two and three age old (26.8±0.3 and 26.8±0.3mu) res. And also from autumn wool at two years age (24.5±0.3 mu). But of course coefficient of varision of mean fiber diameter in Autumn was significant (p<0.0001) from Spring wool. Tenasity force of wool in Spring at three ages (5.6±0.2gf/ tex) was significantly different from Spring and Autumn wool at second age (4.4±0.2, 2.01±0.25 gf/tex) and Autumn yearling wool (3.6±0.4gf/tex). Also it was significantly different between above mentioned charectertics for breaking load 4.8±0.2Kg fversus 3.8±0.2, 2.8±0.2 and 2.25±0.2Kgf. Res (p<0.0001).

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Issue Info: 
  • Year: 

    2012
  • Volume: 

    1
  • Issue: 

    4
  • Pages: 

    103-122
Measures: 
  • Citations: 

    0
  • Views: 

    1315
  • Downloads: 

    0
Abstract: 

Introduction: Consider importance of time management in educational achievement, job performance and life quality, different research were conducted to indicate the per coming of time management. The purpose of this study was to investigate the relation of conscientiousness, Tenacity and preference for organization with time management.Method: Three hundred four mohaghegh ardabili university undergraduate students (1 52 females, 148 males) were selected with cluster random sampling method. All students through descriptive- correlation research method, completed time management questionnaire (Barling, Kelloway & Cheung), NEO Five-Factor Inventory (Costa & McCrae), Time style scale (Usunier & Valette - Florance), Time management behavior scale (Macan et al).Results: The data from causal modeling (path analysis) indicated that better time management in direct way was accompanied with higher level of conscientiousness, Tenacity (persistence), and preference for organization (Ps<0.05).Tenacity and preference for organization also affected by conscientiousness (Ps<0.05). Also conscientiousness via Tenacity and preference for organization effects on time management indirectly (Ps<0.01).Conclusions: With the change and control of conscientiousness, Tenacity and prefer to organize we can improve the time management and provided success of individuals.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

SALEHI MAHNAZ

Journal: 

Issue Info: 
  • Year: 

    2007
  • Volume: 

    20
  • Issue: 

    2 ( 75 IN ANIMAL AND FISHERIES SCIENCES)
  • Pages: 

    87-95
Measures: 
  • Citations: 

    0
  • Views: 

    831
  • Downloads: 

    0
Abstract: 

The seasonal effect (Spring and Summer versus Autumn and Winter) on wool characteristics of Baluchi ewes were studied. The 58 female sheep 1-3 ages from Abas Abad station in East-North of Iran were selected for two years. Twice wool samples were collected from midside in Spring and Autumn. The traits studied were fleece weight at birth, 1, 2 and 3 years age - staple length at shoulder, flank and rump parts - fiber length (Hauteur and Barbe) - mean fiber diameter and coefficient of varstion - Tenacity and breaking force. The data were analyzed by repeated measurement and general liner model (GLM) using SAS software package. The result indicated that fleece weight was significantly affect by age and were 1.98±0.061, 1.15±0.03 and 2.12±0.07Kg for lamb, yearling and two years old respectively (p<0.001). At three years old fleece shorn in spring was significantly higher (2.23±0.08 kg) than that yearling (1.78±0.04kg) and two years old (1.63±0.07kg). Spring and Autumn staple lengths of shoulder, flank and rump parts were significantly different and were effected by age (p<0.001). Staple length at rump was longer than shoulder and flank. However the shoulder, flank and rump staple length in yearling Autumn wool (5±0.17, 5.14±0.17and 5.7±0.17cm), 2nd Spring wool (8.02±0.17, 6.9±0.18 and 8.76±0.18cm), 2nd Autumn wool (4.7±0.17,4.8±0.18 and 5.6±0.17cm) and 3rd Spring wool were (9.8±0.18, 8.9±0.17 and 9.8±0.18cm) res. (p<0.001). Spring and Autumn wool fiber length that measured by Hauteur and Barbe system were significantly (p<0.0001) different for ages. In yearling sheep, Autumn wool fiber diameter (32.2±0.3mu) was coarser than in spring wool at two and three age old (26.8±0.3 and 26.8±0.3mu) res. And also from autumn wool at two years age (24.5±0.3 mu). But of course coefficient of varision of mean fiber diameter in Autumn was significant (p<0.0001) from Spring wool. Tenasity force of wool in Spring at three ages (5.6±0.2gf/ tex) was significantly different from Spring and Autumn wool at second age (4.4±0.2, 2.01±0.25 gf/tex) and Autumn yearling wool (3.6±0.4gf/tex). Also it was significantly different between above mentioned charectertics for breaking load 4.8±0.2Kg fversus 3.8±0.2, 2.8±0.2 and 2.25±0.2Kgf. Res (p<0.0001).

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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