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Academic motivation is one of the indices of success in scientific activities. Therefore, the goal of the present research is to predict academic motivation based on variables of personality traits, academic self-efficacy, academic alienation, and social support in students studying in different fields of paramedicine.<br /><br /> The research was correlation-descriptive in which 183 paramedical university students in the academic year of 2019-2020 were selected by a two-stage cluster random sampling method, studying in the Kermanshah University of Medical Sciences. The data were collected through the Vallerand Academic Motivation questionnaire, NEO Personality Inventory Test, Sherer Self-Efficacy questionnaire, Fleming Social Support questionnaire, and Johnson Academic Alienation, and the collected data were analyzed (Pearson correlation coefficient and multiple regression) using SPSS V.22 software.<br /><br /> The results showed that personality traits of extroversion (<br /><br /> <br /><br /> <br /><br /> β<br /><br /> <br /><br /> <br /><br /> =<br /><br /> <br /><br /> <br /><br /> 0.255<br /><br /> <br /><br /> <br /><br /> ,<br /><br /> <br /><br /> <br /><br /> on among paramedical students, and neuroticism and alienation had a reverse negative role in academic motivation. Therefore, in order to promote the academic level of students, it is necessary to improve the harmful effects of self-efficacy and some personality traits that improve better learning performance and quality.<br /><br />The results of the research illustrated that some of the personality traits and self-efficacy had a positive role in predicting academic motivation among paramedical students, and neuroticism and alienation had a reverse negative role in academic motivation. [https://www.selleckchem.com/products/Cladribine.html Cladribine in vivo] Therefore, in order to promote the academic level of students, it is necessary to improve the harmful effects of self-efficacy and some personality traits that improve better learning performance and quality.Violence against women is now widely recognized as an important public health problem, owing to its health consequences. Domestic violence generally refers to violence against women that generally takes place in the matrimonial home, which includes physical, emotional, sexual as well as economical violence occurring in the adult relationship. Domestic violence has negative impact on the demographic outcome of a country or region, which includes the health and health seeking behavior of women. The present study is an attempt to investigate the socioeconomic factors that would significantly influence domestic violence in the northeastern region of India. The northeastern region of India comprises of eight states, including Manipur and Sikkim, which are reported having the highest and the least prevalence of domestic violence in the whole country according to NFHS-4. Considering these reports and having a different socioeconomic setup as compared to other states in the mainland India, we selected the region for the current study. Data from NFHS-4 conducted during 2015-16 is being employed for the present study. Findings show that education of women, wealth, women's working status, religion, parity of women, and husband's alcohol use are some of the significant covariates that might have influenced domestic violence. The overall prevalence of physical, emotional, sexual, and severe physical violence among women of northeastern India are 24.7%, 11.8%, 6.4%, and 5.3%, respectively. Logistic regression analysis computes the relative risks of categorical variables via the odds ratios. Those women who got higher education and are in upper wealth quintiles have less risk of experiencing domestic violence as compared to women in lower education and lower wealth quintile in northeastern India. There is no rural urban difference in experiencing domestic violence in the region.<br /><br /> Tissue inhibitor of metalloproteinase-1 (TIMP-1) has been suggested as a marker for abnormal regulation of tissue remodelling in type 1 diabetes. Metalloproteinase-9 (MMP-9) has been associated with matrix turnover, and Neutrophil gelatinase associated lipocalin (NGAL) is a marker of tubular injury in diabetic nephropathy. The aim was to analyse these biomarkers to unmask early diabetic complications.<br /><br /> Thirty-three type 1 diabetes patients, aged 20-35 years, and disease duration 20 ± 5.3 years were included. Along with clinical examination, neurophysiological measurements, routine biochemistry, plasma concentrations of TIMP-1, MMP-9 and NGAL were determined with immunoenzymatic techniques.<br /><br /> TIMP-1 correlated with abnormal unilateral and bilateral vibratory sense foot perception (<br /><br />  = -0.49 and <br /><br />  = -0.51, respectively), foot neuropathy impairment assessment score (NIA; <br /><br />  = -0.55), neuropathy symptom assessment score (<br /><br />  = 0.42), microalbuminuria (<br /><br />  = 0.50) and eGFR (<br /><br />  = -0.45). MMP-9 correlated with impaired foot NIA (<br /><br />  = 0.51). Multiple regression analysis showed an association for TIMP-1 (<br /><br />  = 0.004) with impaired neurophysiological examinations and renal dysfunction along with NGAL (<br /><br />  = 0.016 and <br /><br />  = 0.015 respectively).<br /><br /> This study suggests that plasma levels of TIMP-1, MMP-9 and NGAL may serve as useful biomarkers in unravelling subclinical neuropathy and nephropathy in type 1 diabetes.<br /><br />This study suggests that plasma levels of TIMP-1, MMP-9 and NGAL may serve as useful biomarkers in unravelling subclinical neuropathy and nephropathy in type 1 diabetes.<br /><br /> While the optimal time interval between mastectomy and postmastectomy radiation therapy (PMRT) has not been well-elucidated, a delay in PMRT has been associated with increased local recurrence. We sought to determine factors associated with a delay in PMRT beyond 12weeks in patients not undergoing adjuvant chemotherapy.<br /><br /> Medical records of breast cancer patients who underwent mastectomy at our institution between January 2010 and December 2017 who subsequently received PMRT were retrospectively reviewed. As adjuvant chemotherapy can delay PMRT, patients receiving adjuvant chemotherapy were excluded. Factors associated with a delay in PMRT (defined as &gt; 12weeks from the time of mastectomy) were analyzed.<br /><br /> Among the 89 patients who met our inclusion criteria, the mean time from mastectomy to PMRT was 11.4weeks. 24 patients (27.0%) had PMRT &gt; 12weeks after mastectomy. Factors associated with a delay in PMRT included black race (<br /><br /> = 0.031), younger age (<br /><br /> = 0.047), higher body mass index (<br /><br /> = 0.015), contralateral prophylactic mastectomy (<br /><br /> = 0.