Supersymmetric hybrid inflation and metastable cosmic strings in SU(4)c×SU(2)L×U(1)RSU(4)_c \times SU(2)_L \times U(1)_R

We construct a realistic supersymmetric model for superheavy metastable cosmic strings (CSs) that can be investigated in the current pulsar timing array (PTA) experiments. We consider shifted $\mu$ hybrid inflation in which the symmetry breaking $SU(4)_c \times SU(2)_L \times U(1)_R\rightarrow SU(3)_c\times SU(2)_L \times U(1)_{B-L}\times U(1)_R$ proceeds along an inflationary trajectory such that the topologically unstable primordial monopoles are inflated away. The breaking of $U(1)_{B-L} \times U(1)_R \rightarrow U(1)_Y$ after inflation ends yields the metastable CSs that generate the stochastic gravitational wave background (SGWB) which is consistent with the current PTA data set. The scalar spectral index $n_s$ and the tensor to scalar ratio $r$ are also compatible with Planck 2018. We briefly discuss both reheating and leptogenesis in this model.Comment: 7 pages, 4 figure

A Review of Conventional and Machine Learning Techniques for Malaria Parasite Detection Using a Thick Blood Smear

Life-threatening malaria is caused by parasites that are lethally effective and harmful and are transmitted through the bite of female Anopheles mosquitoes. In 2015, WHO reported more than 200 million deaths occurred because of this. This makes malaria one of the most vulnerable diseases. The Plasmodium parasite needs to be detected at the early stages for the patient’s survival. Microscopists over the years have been made such craftsmen that they through their expertise have been able to diagnose malaria, being followed by an area expansion support from computer-aided diagnosis. But the expertise required for feature extraction were questionable, which were later replaced by deep learning techniques through automatic feature extraction in CNN's. This paper provides a review of some such techniques and methods which were used for the said purposes

A Review of Conventional and Machine Learning Techniques for Malaria Parasite Detection Using a Thick Blood Smear

Life-threatening malaria is caused by parasites that are lethally effective and harmful and are transmitted through the bite of female Anopheles mosquitoes. In 2015, WHO reported more than 200 million deaths occurred because of this. This makes malaria one of the most vulnerable diseases. The Plasmodium parasite needs to be detected at the early stages for the patient’s survival. Microscopists over the years have been made such craftsmen that they through their expertise have been able to diagnose malaria, being followed by an area expansion support from computer-aided diagnosis. But the expertise required for feature extraction were questionable, which were later replaced by deep learning techniques through automatic feature extraction in CNN's. This paper provides a review of some such techniques and methods which were used for the said purposes

Shrinking Employees Turnover Intention by applying Tools of Job Embeddedness (Used as a Mediator)

The current research study examined the association among the HRM practices through job embeddedness (as a mediator) and employee turnover intentions. In this study, the researchers used new construct i.e. job embeddedness to explore its mediating impact on the relationship between employee turnover intentions and HRM practices such as training, compensation, career planning, performance appraisal and supervisor support. Job embeddedness was studied in terms of fit, links, and sacrifice organization. Job embeddedness plays a crucial role to reduce turnover. If organization applies these HRM practices in true letter and spirit, then their employees will be more satisfied, committed, and loyal to that organization. If employees are more embedded to the organization in a positive manner, so that employees are more committed, satisfied and impacts their performance

Susceptibility Assessment of Single Gully Debris Flow Based on AHP and Extension Method

Debris flow mainly happens in mountainous areas all around the world with deadly social and economic impacts. With the speedy development of the mountainous economy, the debris flow susceptibility evaluation in the mountainous areas is of crucial importance for the safety of mountainous life and economy. Yunnan province of China is one of the worst hitting areas by debris flow in the world. In this paper, debris flow susceptibility assessment of Datong and Taicun gully near the first bend of Jinsha River has been done with the help of site investigation and GIS and remote sensing techniques. Eight causative factors, including slope, topographic wetness index, sediments transport index, ground roughness, basin area, bending coefficient, source material, and normalised difference vegetation index, have been selected for debris flow susceptibility evaluation. Analytical hierarchy process combined with Extension method has been used to calculate the susceptibility level of Datong and Taicun gullies. The evaluation result shows that both the gullies have a moderate susceptibility to debris flow. The result suggests that all the ongoing engineering projects such as mining and road construction work should be done with all precautionary measures, and the excavated material should adequately store in the gullies. Doi: 10.28991/cej-2021-03091702 Full Text: PD

IMPACT OF KNOWLEDGE PRACTICES ON INNOVATION: THE ROLE OF EMPLOYEES’ INTENTION TO STAY AND RECOGNITION

ABSTRACT   Purpose: Building upon a human-centered approach, knowledge management considers organizations to be complex systems that spring from the unique organizational contexts in which they are developed. The aim of the present study was to empirically investigate how knowledge practices impact innovation by inquiring into the employees’ intention to stay in the organization and the role of employee recognition

Work Related Stressors and Teachers’ Performance: Evidence from College Teachers Working in Punjab

This study is conducted to determine the impact that job stress (job conflict, work overload, inadequate reward policy and job burnout) has on teacher’s job outcomes (employee loyalty and employee performance). In order to explain the relationship among the variables, hypothesis testing was used since the study is causal. This paper focuses on teachers of five best intermediate level colleges of Lahore and a sample size of 100 respondents. The independent variable of the study is work related stressors (job conflict, work overload, inadequate reward policy, and job burnout), while dependent variable is teachers’ performance (employee loyalty and employee performance). SPSS version 20 was used for the initial analysis of collected data (descriptive statistics, reliability analysis, and correlation). Furthermore, SEM using AMOS is applied for checking the fitness of the model as well as the relationship among dependent and independent variables. The analyzed results show impact of all independent variables on dependent variables. However, job conflict, job burnout, and inadequate reward policies have significant impact on teacher’s performance. The largest influence comes from job conflict and job burnout on employee loyalty and inadequate reward policy on employee performance

Physiological and anthocyanin biosynthesis genes response induced by vanadium stress in mustard genotypes with distinct photosynthetic activity

The present study aimed to elucidate the photosynthetic performance, antioxidant enzyme activities, anthocyanin contents, anthocyanin biosynthetic gene expression, and vanadium uptake in mustard genotypes (purple and green) that differ in photosynthetic capacity under vanadium stress. The results indicated that vanadium significantly reduced photosynthetic activity in both genotypes. The activities of the antioxidant enzymes were increased significantly in response to vanadium in both genotypes, although the purple exhibited higher. The anthocyanin contents were also reduced under vanadium stress. The anthocyanin biosynthetic genes were highly expressed in the purple genotype, notably the genes TT8, F3H, and MYBL2 under vanadium stress. The results indicate that induction of TT8, F3H, and MYBL2 genes was associated with upregulation of the biosynthetic genes required for higher anthocyanin biosynthesis in purple compared with the green mustard. The roots accumulated higher vanadium than shoots in both mustard genotypes. The results indicate that the purple mustard had higher vanadium tolerance