2,139 research outputs found
The Study of Green Human Resource Management and its effect on employees’ health in Automobile Industry
As of late, there has been an expanding mindfulness inside business networks on the essentialness of making strides toward environmental friendliness and receiving different condition management methods. As the corporate world is going worldwide, the business is encountering a move from a regular money related structure to a cutting edge limit based economy which is prepared to investigate green financial aspects of business. Today, Green Human Resource Management (GHRM) has turned into a key business methodology for the noteworthy associations where Human Resource Departments have a functioning influence in making strides toward environmental friendliness at the workplace. The main objective of this study is to review Green Human Resource Management and its effect on Employees Health in Automobile Industry. This study focuses on how and why Green Human Resource Management practices are implemented by different organizations. This study also reviews the negative and positive impacts of green-HRM practices on employee health and the employee commitment levels in organizations.
 
Development of High-Throughput Screening Assay for Antihantaviral Therapeutics
Humans acquire hantavirus infection by the inhalation of aerosolized excreta of infected rodent hosts. There is no treatment for hantavirus diseases at present. Therapeutic intervention during early stages of viral infection can improve the outcome of this zoonotic viral illness. The interaction between an evolutionary conserved sequence at the 5′ terminus of hantaviral genomic RNA and hantavirus nucleocapsid protein plays a critical role in the hantavirus replication cycle. This unique interaction is a novel target for therapeutic intervention of hantavirus disease. We developed a very sensitive, tractable, and cost-effective fluorescence-based assay to monitor the interaction between the nucleocapsid protein and the target RNA sequence. The assay was optimized for high-throughput screening of chemical libraries to identify molecules that interrupt this RNA–protein interaction. The assay was validated using a library of 6880 chemical compounds. This validation screen demonstrated the reproducibility and validity of required statistical criteria for high-throughput screening. The assay is ready to use for high-throughput screening of large chemical libraries to identify antihantaviral therapeutic molecules and can be amenable to similar targets in other viruses
Global transcriptome analysis of heat stress response of grape variety 'Fantasy Seedless' under different irrigation regimens
Grapevine (Vitis vinifera L.), a commercially important fruit crop worldwide, faces several challenging conditions during its growth cycle. Among many abiotic stresses, heat and moisture stresses have major impact on grapevine productivity and fruit quality. Transcriptome analysis of heat stress response of grape variety 'Fantasy Seedless' grown under different irrigation regimens identified large number of differentially expressed genes. Genes belonging to chaperone mediated protein folding and cell-wall modification pathways were found to play a significant role in plant response to heat as well as moisture stress. Subsurface irrigation helped minimize the adverse effects of stress through modulation of genes involved in cell homeostasis. The study has given critical insight into grapevine response to heat stress arising due to aberrant weather conditions
Connections Between Adaptive Control and Optimization in Machine Learning
This paper demonstrates many immediate connections between adaptive control
and optimization methods commonly employed in machine learning. Starting from
common output error formulations, similarities in update law modifications are
examined. Concepts in stability, performance, and learning, common to both
fields are then discussed. Building on the similarities in update laws and
common concepts, new intersections and opportunities for improved algorithm
analysis are provided. In particular, a specific problem related to higher
order learning is solved through insights obtained from these intersections.Comment: 18 page
Mucinous carcinoma of breast with neuroendocrine differentiation: a rare case report with review of literature
Mucinous carcinoma of the breast is a relatively rare malignancy accounting for 2% of all breast cancers. Mucinous carcinoma of the breast has a favourable prognosis and is usually seen in postmenopausal women. Here, we report a 60 year old female patient presented with right breast lump was diagnosed on cytology as ductal carcinoma of the breast, on histopathology diagnosed as mucinous carcinoma with neuroendocrine differentiation, which was subsequently confirmed on IHC marker synaptophysin and chromogranin A positive
The Role of Deference in Judicial Review of Agency Action: A Comparison of Federal Law, Uniform State Acts, and the Iowa APA
Quantum Antiferromagnetism in Quasicrystals
The antiferromagnetic Heisenberg model is studied on a two-dimensional
bipartite quasiperiodic lattice. The distribution of local staggered magnetic
moments is determined on finite square approximants with up to 1393 sites,
using the Stochastic Series Expansion Quantum Monte Carlo method. A non-trivial
inhomogeneous ground state is found. For a given local coordination number, the
values of the magnetic moments are spread out, reflecting the fact that no two
sites in a quasicrystal are identical. A hierarchical structure in the values
of the moments is observed which arises from the self-similarity of the
quasiperiodic lattice. Furthermore, the computed spin structure factor shows
antiferromagnetic modulations that can be measured in neutron scattering and
nuclear magnetic resonance experiments.
This generic model is a first step towards understanding magnetic
quasicrystals such as the recently discovered Zn-Mg-Ho icosahedral structure.Comment: RevTex, 4 pages with 5 figure
Dietary alterations modulate the microRNA 29/30 and IGF-1/AKT signaling axis in breast Cancer liver metastasis.
Background: Metastatic cancer is incurable and understanding the molecular underpinnings is crucial to improving survival for our patients. The IGF-1/Akt signaling pathway is often impaired in cancer leading to its progression and metastases. Diet modification is known to alter the IGF-1/Akt pathway and affect the expression of microRNA involved in tumor initiation, growth and metastases. Liver metastases are one of the most common type of metastases in breast and colon cancer. In the present study, we looked at the effect of diet modification on the expression of microRNA in normal liver and liver with breast cancer metastases using in vivo model.
Methodology: 6-month-old C57BL/6 J mice were put on either an ad libitum (AL) diet, or 40% calorie restricted (CR) diet or were fasted for 24 h (FA) before sacrifice. MicroRNA array analysis, western blot and qRT-PCR were performed using liver tissue to compare the treatment groups. A breast cancer model was also used to study the changes in microRNA expression in liver of a group of BALB/c mice orthotopically injected with 4 T1 cells in the mammary fat pad, put on either an AL or 30% CR diet. Liver and primary tumor tissues were used to perform qRT-PCR to compare the treatment groups.
Results: MicroRNA array analysis showed significant changes in miRNA expression in both CR and FA conditions in normal liver. Expression of miR-29 and miR-30 family members was increased in both CR and FA. Western blot analysis of the normal liver tissue showed that CR and FA downregulated the IGF-1/Akt pathway and qRT-PCR showed that the expression of miR-29b, miR-29c, miR-30a and miR-30b were increased with CR and FA. Liver tissue collected from mice in the breast cancer model showed an increase in expression of miR-29b, miR-29c and miR-30b while tumor tissue showed increased expression of miR-29c, miR-30a and miR-30b.
Discussion: Members of the miR-29 family are known to target and suppress IGF-1, while members of the miR-30 family are known to target and suppress both IGF-1 and IGF-1R. In the present study, we observe that calorie restriction increased the expression of miR-29 and miR-30 in both the normal liver as well as the liver with breast cancer metastases. These findings suggest that dietary alterations may play a role in the treatment of liver metastasis, which should be evaluated further
Li-Fi: The Future Technology
Li-Fi is a wireless technology which provides the connectivity within large area network. The main objective of this technology is we can transmit the data using light illumination using light emitting diodes and radio frequency is used in Wi-Fi and LED bulb light intensity is faster than human eye that cannot follow. One germen phycist-Prof Harald Haas an expert in optical wireless communications at the University of Edinburgh, he demonstrated how an LED bulb equipped with signal processing technology could stream a high-definition video to a computer. By using this technology a 1 watt LED light bulb would be enough to provide net connectivity to more than one computers. This technology termed as "light fidelity". This technology provides transfer data more securely with higher data rates and high speed and high intensity. This technology is still under research and further exploitation could lead to wide applications
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