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Auteur : Grafiati
Publié le 11 septembre 2023

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1

Dr.G.Kalaivanan, Dr G. Kalaivanan, et B. Ussaima B.Ussaima. « Factors Attracting Children to View TV Commercials - A Study Using Factor Analysis ». Indian Journal of Applied Research 4, no 6 (1 octobre 2011) : 71–73. http://dx.doi.org/10.15373/2249555x/june2014/21.

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gizi, Shafieva Elnara Ibrahim. « DEVIANT BEHAVIOR : PSYCHOLOGICAL FACTORS OF STUDY ». Frontline Social Sciences and History Journal 02, no 03 (1 mars 2022) : 32–38. http://dx.doi.org/10.37547/social-fsshj-02-03-04.

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Types of deviant (deviant) behavior are presented. It is revealed that the socially negative nature of deviations is destructive both for the individual and for the environment, but it is this type of deviant behavior that arouses the greatest interest of researchers and is more often considered in the scientific literature. The definition of the concept of "deviation" is given. It is noted that the main factors that predetermine deviations in human behavior are the level of social consciousness, morality, consolidation of the system of social regulations in society. In the course of the study of theoretical material it was found that a number of scientists characterize a norm as "a historically established in a particular society limit", "a measure of acceptable behavior", some properties originally inherent in most people, a standard of behavior, these are norm-ideals, as the level of interiorization of norms in different social environments has significant differences, and norm-ideals (system of basic values) are globalized, they are difficult to apply to specific social objects. It is proposed to consider the norm in three different meanings: statistical, functional (individual) and ideal; in laws, traditions, customs the social norm finds its embodiment (support), that is, in everything that has become a habit, firmly embedded in everyday life, in the way of life of the majority population, supported by public opinion, plays the role of a "natural regulator" of social and interpersonal relations. It has been revealed that some scholars are inclined to see moral norms as a kind of "instructions" that "ensure the correct operation of the human machine".
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Kumar, M. Giridhar, et Kolla Nagaraju Kolla.Nagaraju. « Entrepreneur’s Motivational Factors : An Empirical Study ». Paripex - Indian Journal Of Research 3, no 3 (15 janvier 2012) : 106–7. http://dx.doi.org/10.15373/22501991/mar2014/37.

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K.M., Boymirzaev, et Mirzahmedov I.K. « Oakh Landscapes And Their Creator Factors Study ». American Journal of Applied Sciences 02, no 09 (29 septembre 2020) : 118–27. http://dx.doi.org/10.37547/tajas/volume02issue09-19.

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MD, Dr Vamshi Krishna Kondle. « Comprehensive Study on Predisposing Factors of Cerebral Palsy ». Journal of Medical Science And clinical Research 04, no 12 (4 décembre 2016) : 14355–60. http://dx.doi.org/10.18535/jmscr/v4i12.13.

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A. K. Mohideen, A. K. Mohideen, et P. Vinoth P. Vinoth. « Entrepreneurial Success Factors-A Study among Indian Entrepreneurs ». Indian Journal of Applied Research 3, no 6 (1 octobre 2011) : 309–13. http://dx.doi.org/10.15373/2249555x/june2013/104.

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Beniwal, Usha, Kedar Ajay Trivedi et Anjani Shrivastava. « Risk Factors of Eclampsia : A Cross Sectional Study ». Indian Journal of Obstetrics and Gynecology 7, no 1 (2019) : 98–100. http://dx.doi.org/10.21088/ijog.2321.1636.7119.17.

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Jyothi Prakash, G. B. « Study of Awareness of Stroke Symptoms and Risk Factors : A Field Based Study ». Indian Journal of Emergency Medicine 6, no 2 (1 juin 2020) : 69–72. http://dx.doi.org/10.21088/ijem.2395.311x.6220.3.

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Singh, Dr Shavinder. « Study of Factors Affecting Academic Achievement in Medical Students ». Journal of Medical Science And clinical Research 04, no 12 (28 décembre 2016) : 1968–14972. http://dx.doi.org/10.18535/jmscr/v4i12.109.

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Chowhan, Dr Sumita. « A Qualitative study on Curative Factors Influencing Psychotherapeutic Intervention ». Indian Journal of Applied Research 4, no 1 (1 octobre 2011) : 480–82. http://dx.doi.org/10.15373/2249555x/jan2014/149.

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Saini, Paridhi, et Shivali Dhameja. « Rupee Dollar Value Trends : A Study of Influencing Factors ». Indian Journal of Applied Research 4, no 3 (1 octobre 2011) : 73–75. http://dx.doi.org/10.15373/2249555x/mar2014/23.

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A. Dharmaraj, A. Dharmaraj, et S. Sivakumar S.Sivakumar. « A Study on Technical Factors Influencing the International Indices ». Indian Journal of Applied Research 3, no 5 (1 octobre 2011) : 104–5. http://dx.doi.org/10.15373/2249555x/may2013/30.

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D.C, Divyarani, et Goudappa R. Patil. « A Study on Maternal Risk Factors and Preterm Neonates ». Pediatric Education and Research 5, no 3 (2017) : 188–91. http://dx.doi.org/10.21088/per.2321.1644.5317.5.

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Chavhan, Nikhil, Gaurav Machale, Sunil Natha Mhaske, Ramesh Kothari et Ujawala shirsat. « To Study the Clinico-Etiological Factors of Neonatal Hypoglycaemia ». Pediatric Education and Research 7, no 3 (2019) : 103–6. http://dx.doi.org/10.21088/per.2321.1644.7319.4.

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Ciesarová, Z., E. Kiss et E. Kolek. « Study of factors affecting acrylamide levels in model systems ». Czech Journal of Food Sciences 24, No. 3 (12 novembre 2011) : 133–37. http://dx.doi.org/10.17221/3308-cjfs.

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The factors important for the acrylamide formation in model systems were studied. The effects of two starch matrices (potato, wheat), the share of two monosaccharides (glucose and fructose) on the formation of acrylamide, and the impact of water addition were compared in model systems under isothermal conditions. Acrylamide was determined by GC/MS-NCI technique. The results showed that the water content is one of the most important factors in the formation of acrylamide, besides the reaction temperature and time. The minimum of acrylamide formation was observed at the water content between 25 and 40%; outside of this range, the acrylamide concentration was higher. The presence of starch reduced the amount of acrylamide formed from asparagine and saccharide, moreover, the effects of potato and wheat starches were similar. Fructose was more effective for the acrylamide formation in comparison with glucose. The combined contribution of glucose and fructose in the mixture with asparagine and starch to the acrylamide level corresponded to the sum of separate contributions of saccharides only at the middle content of added water.    
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Rajpara, Dr Yashasvi, et Dr Komal Mistry. « Factors Shaping Entrepreneurial Ecosystem : A Study of Gujarat State ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (30 avril 2018) : 1163–70. http://dx.doi.org/10.31142/ijtsrd11263.

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Rajeshwari, Rajeshwari, Sreelatha S, Shruthi K, Satish Kumar, Shruthi A, Preethi Malpurae, Sandeep Kumar et Satish Dalwai. « A study on risk factors of post partum hemorrhage ». New Indian Journal of OBGYN 6, no 2 (janvier 2020) : 83–86. http://dx.doi.org/10.21276/obgyn.2020.6.2.4.

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T.M., Somasekharan, et Kumathadevi Dr.K. « Factors and Outcomes of Employee Engagement : A Priliminary Study ». International Journal of Research in Arts and Science 3, Special Issue, 2017 (31 mai 2017) : 01–02. http://dx.doi.org/10.9756/ijras.8146.

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R, Priya, Vinothini G et Corpus D. Cor Jesu. « A Study on Organisational Factors Influencing Knowledge Management Practices ». Journal of Advanced Research in Dynamical and Control Systems 11, no 0009-SPECIAL ISSUE (25 septembre 2019) : 1362–68. http://dx.doi.org/10.5373/jardcs/v11/20192750.

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Musale, Ramkisan. « A Study on Factors Influencing Agriculture of Modern India . » International Journal Of Multidisciplinary Research And Studies 05, no 08 (5 août 2022) : 01–07. http://dx.doi.org/10.33826/ijmras/v05i08.1.

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Agriculture is the backbone of the Indian economy. However, it is going through the struggling phase marking sluggish or no growth for several decades. The Indian economy has been shifting its paradigm from core agriculture-based to service-oriented in the last few decades. It is influenced by global trends, market dynamics, government policies, and stakeholder expectations. After signing General Agreement on Tariffs and Trade in 1991, India accepted the ‘Open Door Policy.’ It further led to major reforms in the Liberalization, Privatization, and Globalization (LPG) model. It positively impacts sectors like information technology, banking, finance, education, e-commerce, retail, insurance, and other service sectors. However, agriculture has remained detached from developments even after 70 years of independence.
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Bajpai, Dr Shikhar. « A Clinical Study of Risk Factors of Coronary Artery Disease including newer Risk Factors in Elderly Patients ». Journal of Medical Science And clinical Research 05, no 01 (13 janvier 2017) : 15499–507. http://dx.doi.org/10.18535/jmscr/v5i1.50.

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S, BINA PANI, PRIYA R et JANNIFER RANI. « A Study on Factors Determining Foreign Institutional Investments in India ». Journal of Research on the Lepidoptera 50, no 1 (25 mars 2019) : 16–22. http://dx.doi.org/10.36872/lepi/v50i1/201052.

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D’ Almeida, Dr Veena M. « Comparative study of motivational factors affecting Male and Female Entrepreneurs ». Indian Journal of Applied Research 4, no 6 (1 octobre 2011) : 65–68. http://dx.doi.org/10.15373/2249555x/june2014/19.

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Kumar M.K., Alok, Ashok V. Badakali, Bhuvaneshwari Yalamali, Ramesh Pol et Raghavendra Vanaki. « Sociodemographic and Perinatal Factors Affecting Pneumonia : A Cross Sectional Study ». Pediatric Education and Research 5, no 1 (2017) : 5–8. http://dx.doi.org/10.21088/per.2321.1644.5117.1.

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Patil, Shailesh B., et Milind B. Patil. « Study of Prevalence and Risk Factors Associated with Obstetrics Haemorrhage ». Indian Journal of Obstetrics and Gynecology 6, no 1 (2018) : 37–42. http://dx.doi.org/10.21088/ijog.2321.1636.6118.7.

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Prajapati, Nilam, Anjani Shrivastava et Bhavika Gamit. « Study of Socio-Demographic Factors in Pregnancies with Infective Hepatitis ». Indian Journal of Obstetrics and Gynecology 6, no 3 (2018) : 263–68. http://dx.doi.org/10.21088/ijog.2321.1636.6318.10.

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Soniya, Dr K., et Mr G. Mohanraj. « A Study on Factors Affecting Brand Trust Apple I Phone ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31 octobre 2018) : 1476–86. http://dx.doi.org/10.31142/ijtsrd18899.

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Walinjkar, Manjiri. « Clinical study to evaluate the causative factors of Shvitra (Vitiligo) ». JOURNAL OF RESEARCH IN TRADITIONAL MEDICINE 2, no 5 (25 janvier 2017) : 130–34. http://dx.doi.org/10.21276/jrtm.2016/304.

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Choi. « A Study on the Factors Determining Officetel Price in Busan ». Journal of the Korean Society of Civil Engineers 35, no 3 (2015) : 725. http://dx.doi.org/10.12652/ksce.2015.35.3.0725.

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Deepika, S., Dr S. Anandakumar et Dr V. Krishnamoorthy. « Study on Factors Influencing the TQM Practices and its Consequences ». Bonfring International Journal of Industrial Engineering and Management Science 6, no 2 (30 avril 2016) : 48–52. http://dx.doi.org/10.9756/bijiems.7088.

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N, Jannifer Rani, Bina Pani S et Nimisha N.S. « A Study on Factors Influencing to Use Online Food Apps ». Journal of Advanced Research in Dynamical and Control Systems 11, no 0009-SPECIAL ISSUE (25 septembre 2019) : 1325–30. http://dx.doi.org/10.5373/jardcs/v11/20192744.

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Rajasekaran, Sakunthala, et Venkatramaraju Dr.D. « A Study on Factors Influencing Brand Loyalty of Mobile Phones ». Journal of Advanced Research in Dynamical and Control Systems 11, no 11 (20 novembre 2019) : 298–302. http://dx.doi.org/10.5373/jardcs/v11i11/20193199.

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Professor Sharmila Pal, Professor Sharmila Pal, et Professor Manisha Pal Professor Manisha Pal. « Factors Affecting the Performance of Students in Anatomy : A case Study ». Indian Journal of Applied Research 3, no 4 (1 octobre 2011) : 360–61. http://dx.doi.org/10.15373/2249555x/apr2013/118.

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MOHAN, Dr G. MADAN. « A Study on Factors Inducing Disabled to Choose Entrepreneurship as Career ». Indian Journal of Applied Research 4, no 4 (1 octobre 2011) : 110–13. http://dx.doi.org/10.15373/2249555x/apr2014/217.

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Gupta, Manu, et Ashutosh Singh. « An Epidemiological study and analysis of prognostic factors of testicular carcinoma ». Asian Journal of Medical Research 8, no 1 (mars 2019) : SG17—SG19. http://dx.doi.org/10.21276/ajmr.2019.8.1.sg6.

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Annadorai, Kalaivani. « FACTORS CONTRIBUTING TO ONLINE DATING ROMANCE SCAM VICTIMIZATION : A QUALITATIVE STUDY ». International Journal of Psychosocial Rehabilitation 24, no 4 (28 février 2020) : 4434–47. http://dx.doi.org/10.37200/ijpr/v24i4/pr201547.

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Alfazzi Aljuhani, Faiz Owaidah. « Organizational factors that affecting knowledge sharing case study of Saudi students ». International Journal of Academic Research 6, no 3 (30 mai 2014) : 185–94. http://dx.doi.org/10.7813/2075-4124.2014/6-3/b.28.

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S., Sowmya, Bhavana S. et Ambarisha Bhandiwad. « The Study of Risk Factors and Perinatal outcome in Preterm Birth ». Indian Journal of Obstetrics and Gynecology 6, no 5 (2018) : 514–18. http://dx.doi.org/10.21088/ijog.2321.1636.6518.12.

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SEVERESIA, Claudia, Prio UTOMO et Friska NATALIA. « INVESTIGATING FACTORS INFLUENCING REPURCHASE INTENTION : CASE STUDY IN BEVERAGE MANUFACTURING INDUSTRY ». BUSINESS EXCELLENCE AND MANAGEMENT 12, no 1 (15 mars 2022) : 17–30. http://dx.doi.org/10.24818/beman/2022.12.1-02.

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The food and beverages industry is one of the most contributing sectors for Indonesian economic growth. It is a profitable business to invest in, due to the development of the Indonesian population. However, the competition in the market is inevitable; thus, companies need to generate strategies of differentiation to retain the customers. One crucial thing in maintaining customer loyalty is to have good management in customer experience. Customer experience was mainly discussed in the Business to Customer (B2C) sector but limitedly explored in the Business to Business (B2B) sector. Customer satisfaction can directly affect and predict customer repurchase intention and customer loyalty. Repurchase intention is crucial in the B2B industry because the buying process in the B2B industry is a rational decision, and it costs more to deal with the new customers than keeping customers already had. Therefore, current research is focused on customer experience; value, loyalty, and satisfaction on repurchase intention in one beverage manufacturing company in Indonesia whose market focus is on the B2B sector. Quantitative research was conducted on July 13th, 2021, to August 5th, 2021 using the availability sampling method and obtained 85 respondents who are the customers of the beverage manufacturing company in Indonesia. Data was analyzed using PLS-SEM (Partial Least Square – Structural Equation Modelling) method. This study shows that 78.2% of repurchase intention is explained and significantly affected by the variables discussed in the research. Customer satisfaction is more likely to affect the repurchase intention. However, customer value has no significant effect on repurchase intention. Therefore, it is hoped that this study will give insights to B2B organization managers to set their marketing strategy.
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Erok, Berrin, et Hüseyin Akyol MD. « Factors Affecting the Selection of the Bariatric Surgeon-A Survey Study ». International Journal of Clinical Case Reports and Reviews 9, no 2 (9 décembre 2021) : 01–05. http://dx.doi.org/10.31579/2690-4861/172.

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There are various factors considerd by the patients in the process of selecting the hospital and the surgeon like professional sertifications. The experience of the surgeon for all types of surggeries has a great influence on the patients' preference. In some surgical procedures patients prefer gender concordant surgeons like gynecological operations. These factors have been evaluated in many studies regarding different types of operations.
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Ish, Pranav. « An Epidemiological Study on Risk Factors of Chronic Obstructive Pulmonary Disease ». Epidemiology International 06, no 01 (30 mars 2021) : 15–21. http://dx.doi.org/10.24321/2455.7048.202104.

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Introduction: Chronic Obstructive Pulmonary Disease (COPD) is one of the leading causes of morbidity and mortality worldwide and is expected to increase in the coming decades due to increasing air pollution. In a country like India, it is a challenge to control the growing incidence of COPD. For this, it is imperative to understand the various risk factors that lead to the development of COPD including smoking and the ever-worsening environmental air pollution levels. Material and Methods: This prospective case-control study was carried out at the out-patient clinic of pulmonary medicine at our tertiary care centre. Clinical severity data, demographic characteristics, smoking history, and particulate matter (PM) 2.5 levels at the residence of the patients were recorded. A total of 182 cases of COPD and 365 controls were taken. Result: COPD was found to be common among males (69.2%), among the factory workers, drivers and roadside vendors and in elderly age groups. COPD was found to be associated with exposure to active and passive smoking (p < 0.05). Exposure to dust, fumes, and smoke at the workplace was significantly more prevalent among the COPD patients (13.2%) than the control group (2.7%). Besides, 61.5% of the COPD patients were residing in the area with PM 2.5 levels > 60μg/m3 which was significantly greater than the controls (44.9%). Conclusion: The main risk factor for COPD is exposure to active and passive tobacco smoking. Other environmental factors such as exposure to dust, fumes at the workplace and home are also associated with COPD. Level of PM 2.5 > 60 μg/m3 is associated with an increased risk of COPD. Thus, the environmental history of residence in Delhi or a city with high AQI is significant in evaluating a COPD patient. It is important to understand the contribution of these risk factors as curbing and curtailing them can help prevent and control the growing burden of COPD.
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Ish, Pranav. « An Epidemiological Study on Risk Factors of Chronic Obstructive Pulmonary Disease ». Epidemiology International 06, no 01 (30 mars 2021) : 15–21. http://dx.doi.org/10.24321/2455.7048.202104.

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Introduction: Chronic Obstructive Pulmonary Disease (COPD) is one of the leading causes of morbidity and mortality worldwide and is expected to increase in the coming decades due to increasing air pollution. In a country like India, it is a challenge to control the growing incidence of COPD. For this, it is imperative to understand the various risk factors that lead to the development of COPD including smoking and the ever-worsening environmental air pollution levels. Material and Methods: This prospective case-control study was carried out at the out-patient clinic of pulmonary medicine at our tertiary care centre. Clinical severity data, demographic characteristics, smoking history, and particulate matter (PM) 2.5 levels at the residence of the patients were recorded. A total of 182 cases of COPD and 365 controls were taken. Result: COPD was found to be common among males (69.2%), among the factory workers, drivers and roadside vendors and in elderly age groups. COPD was found to be associated with exposure to active and passive smoking (p < 0.05). Exposure to dust, fumes, and smoke at the workplace was significantly more prevalent among the COPD patients (13.2%) than the control group (2.7%). Besides, 61.5% of the COPD patients were residing in the area with PM 2.5 levels > 60μg/m3 which was significantly greater than the controls (44.9%). Conclusion: The main risk factor for COPD is exposure to active and passive tobacco smoking. Other environmental factors such as exposure to dust, fumes at the workplace and home are also associated with COPD. Level of PM 2.5 > 60 μg/m3 is associated with an increased risk of COPD. Thus, the environmental history of residence in Delhi or a city with high AQI is significant in evaluating a COPD patient. It is important to understand the contribution of these risk factors as curbing and curtailing them can help prevent and control the growing burden of COPD.
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Jadhav AK, Jadhav AK, Mulla NH Mulla NH, Prasad HB Prasad HB et Kadam DB Kadam DB. « Study of Clinical Course and Prognostic Factors Affecting Course of Septicemia ». International Journal of Scientific Research 3, no 2 (1 juin 2012) : 397–99. http://dx.doi.org/10.15373/22778179/feb2014/130.

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Awad, Hassan. « Prognostic Factors and Survival of the Differentiated Thyroid Cancer Retrospective Study ». Journal of Clinical Research and Reports 3, no 5 (24 mars 2020) : 01–06. http://dx.doi.org/10.31579/2690-1919/062.

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H S, Nethra, Praneetha K, Sreelatha S et Seema Shyam Bhairi. « A study on risk factors and clinical presentation of ectopic pregnancy ». New Indian Journal of OBGYN 4, no 2 (janvier 2018) : 146–49. http://dx.doi.org/10.21276/obgyn.2018.4.2.11.

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Pillai, Thirumagal J. « An Exploratory Study of Factors affecting School Dropouts of Pune District ». Indian Journal of Science and Technology 12, no 36 (20 septembre 2019) : 1–7. http://dx.doi.org/10.17485/ijst/2019/v12i36/146942.

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N., Jannifer Rani, Bina Pani S. et Nimisha N.S. « A Study on Factors Influencing to Use Cab Apps among Customers ». Journal of Advanced Research in Dynamical and Control Systems 11, no 09-SPECIAL ISSUE (25 septembre 2019) : 27–32. http://dx.doi.org/10.5373/jardcs/v11/20192531.

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N, Jannifer Rani, Bina Pani S et Nimisha N.S. « A Study on Factors that Drives Customer Attention on Social Media ». Journal of Advanced Research in Dynamical and Control Systems 11, no 09-SPECIAL ISSUE (25 septembre 2019) : 100–105. http://dx.doi.org/10.5373/jardcs/v11/20192542.

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Reddy, Dr B. Yella, Dr T. I. Nagarjuna Dr. T. I. Nagarjuna et Dr M. Sateeshnadha Reddy. « A Study of Factors Influencing Teacher’s Stress Among the School Teachers ». Indian Journal of Applied Research 3, no 11 (1 octobre 2011) : 113–15. http://dx.doi.org/10.15373/2249555x/nov2013/37.

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Kumar, Dr G. Vijay, et Nagaraju Kolla. « Most Influential Factors of Employee Absenteeism : A Study on IT Industry ». Global Journal For Research Analysis 3, no 4 (15 juin 2012) : 143–45. http://dx.doi.org/10.15373/22778160/apr2014/48.

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