215 research outputs found
INFLUENCE OF RETRENCHMENT STRATEGY ON PERFORMANCE OF SAMEER AFRICA IN NAIROBI CITY COUNTY, KENYA
No full text<p><strong>Abstract:</strong> The entry of new competition from imported tires and independent suppliers has had a significant impact on operating costs in Sameer Africa. This impact has manifested itself in the form of lower sales volumes leading to lower profits. This study examined the influence of retrenchment strategy on performance of Sameer Africa in Nairobi City County, Kenya. The study applied a descriptive research design. The unit of analysis was Samer Africa in Nairobi City County, Kenya, and the unit of observation was 630 employees drawn from the following departments; Sales and Marketing, Operations, Human Resources, Information and Technology, Imports and Clearing, Audit and Risk Management. Proportional stratified sampling was used in the study to select samples from various subsets of the target population in order to ensure adequate representation of all cases. Simple random sample selection was used to select the sample size of 245 respondents. With the help of a semi-structured questionnaire, primary data was gathered. The questionnaire was piloted on 25 respondents from the same organization who weren't part of the main study in order to test its validity and reliability. The means and standard deviations of descriptive statistics were used to analyze quantitative data. The data were presented using tables and graphics. Correlation analysis and multiple analysis were used in inferential statistics to ascertain the relationship between the independent and dependent variables. The study discovered that the performance of Sameer Africa in Nairobi City County, Kenya, is positively and significantly impacted by reemployment strategy. The study concluded that retrenchment is a cost-management strategy that removes goods and services from the market and lessens competition. The study recommended that the management of the company can for divestment strategy is the case of severity of competition and the inability of the organization to cope with it.</p>
<p><strong>Keywords:</strong> Retrenchment Strategy, Organizational Performance.</p>
<p><strong>Title:</strong> INFLUENCE OF RETRENCHMENT STRATEGY ON PERFORMANCE OF SAMEER AFRICA IN NAIROBI CITY COUNTY, KENYA</p>
<p><strong>Author:</strong> Doris Mueni Mengo, Dr Eliud Obere</p>
<p><strong>International Journal of Management and Commerce Innovations </strong></p>
<p><strong>ISSN 2348-7585 (Online)</strong></p>
<p><strong>Vol. 11, Issue 2, October 2023 - March 2024</strong></p>
<p><strong>Page No: 8-13</strong></p>
<p><strong>Research Publish Journals</strong></p>
<p><strong>Website: www.researchpublish.com</strong></p>
<p><strong>Published Date: 04-October-2023</strong></p>
<p><strong>DOI: <a href="https://doi.org/10.5281/zenodo.8406732">https://doi.org/10.5281/zenodo.8406732</a></strong></p>
<p><strong>Paper Download Link (Source)</strong></p>
<p><strong><a href="https://www.researchpublish.com/papers/influence-of-retrenchment-strategy-on-performance-of-sameer-africa-in-nairobi-city-county-kenya">https://www.researchpublish.com/papers/influence-of-retrenchment-strategy-on-performance-of-sameer-africa-in-nairobi-city-county-kenya</a></strong></p>International Journal of Management and Commerce Innovations, ISSN 2348-7585 (Online), Research Publish Journals, Website: www.researchpublish.co
A Bayesian model for dynamic functional connectivity estimation in the human brain with structural priors
No full textStudies of dynamic functional connectivity have demonstrated that anatomical linkage is related to persistent functional connectivity. Bayesian models can leverage this connection by regularizing estimates of functional connectivity according to the strength of the corresponding structural connectivity. We proposed and evaluated the ability of such a model to recover covariance matrices. The model performed well in a high dimensional, small sample simulated setting. In addition, it exhibited robustness to temporal transformations and an ability to recover simulated data generated according to both discrete and continuous temporal dynamics. Finally, it outperformed sliding window baselines and anatomically un-informed baselines on estimating instantaneous covariances according to out-of-sample log likelihood on two task datasets.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-08-01The student, Sameer Manchanda, accepted the attached license on 2019-07-19 at 10:46.The student, Sameer Manchanda, submitted this Thesis for approval on 2019-07-19 at 10:50.This Thesis was approved for publication on 2019-07-19 at 11:21.DSpace SAF Submission Ingestion Package generated from Vireo submission #14389 on 2019-11-26 at 13:06:25Made available in DSpace on 2019-11-26T20:49:36Z (GMT). No. of bitstreams: 2
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Previous issue date: 2019-07-19Embargo set by: Seth Robbins for item 112988
Lift date: 2021-11-26T20:49:41Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 112988 on 2021-11-27T10:15:09Z
Citizen Science and Geospatial Capacity Building
No full textThis book is a collection of the articles published the Special Issue of ISPRS International Journal of Geo-Information on “Citizen Science and Geospatial Capacity Building”. The articles cover a wide range of topics regarding the applications of citizen science from a geospatial technology perspective. Several applications show the importance of Citizen Science (CitSci) and volunteered geographic information (VGI) in various stages of geodata collection, processing, analysis and visualization; and for demonstrating the capabilities, which are covered in the book. Particular emphasis is given to various problems encountered in the CitSci and VGI projects with a geospatial aspect, such as platform, tool and interface design, ontology development, spatial analysis and data quality assessment. The book also points out the needs and future research directions in these subjects, such as; (a) data quality issues especially in the light of big data; (b) ontology studies for geospatial data suited for diverse user backgrounds, data integration, and sharing; (c) development of machine learning and artificial intelligence based online tools for pattern recognition and object identification using existing repositories of CitSci and VGI projects; and (d) open science and open data practices for increasing the efficiency, decreasing the redundancy, and acknowledgement of all stakeholders
Citizen Science and Geospatial Capacity Building
No full textThis book is a collection of the articles published the Special Issue of ISPRS International Journal of Geo-Information on “Citizen Science and Geospatial Capacity Building”. The articles cover a wide range of topics regarding the applications of citizen science from a geospatial technology perspective. Several applications show the importance of Citizen Science (CitSci) and volunteered geographic information (VGI) in various stages of geodata collection, processing, analysis and visualization; and for demonstrating the capabilities, which are covered in the book. Particular emphasis is given to various problems encountered in the CitSci and VGI projects with a geospatial aspect, such as platform, tool and interface design, ontology development, spatial analysis and data quality assessment. The book also points out the needs and future research directions in these subjects, such as; (a) data quality issues especially in the light of big data; (b) ontology studies for geospatial data suited for diverse user backgrounds, data integration, and sharing; (c) development of machine learning and artificial intelligence based online tools for pattern recognition and object identification using existing repositories of CitSci and VGI projects; and (d) open science and open data practices for increasing the efficiency, decreasing the redundancy, and acknowledgement of all stakeholders
Karadi 3
No full textMusic, poetry, storytelling, and lively color come together to make each of these book/cassette pairs attractive. Each tape starts with a song in which Karadi introduces himself as a teller of stories. Here Kapi, the good king of the monkeys, has warned them not to let any mangoes float downriver towards Benares. Korung, a bad monkey, lets one float down, and soon enough the king has sent boats upriver to find this wonderful fruit. When the king and his hunters arrive, Kapi understands that he must form part of a bridge to freedom for his threatened people. He does this, and the king in admiration stops his men from firing arrows at Kapi. Korung, the last across, dashes Kapi down, but he revives. When the king assures Kapi that his people can return, he forgives Korung and welcomes him back. The book and audio cassette come together in a cellophane package. Though I will list each pair under both books and audio cassettes, I will keep them together in their packages under books.Script & Direction by Shobha Viswanat
Preference to co-author with other researchers based on socio-academic parameters.
No full textPreference to co-author with other researchers based on socio-academic parameters.</p
Microchemical systems for kinetic studies of catalytic processes
No full textThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2002.Includes bibliographical references.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Silicon microfabrication techniques and scale-up by replication have for decades fueled spectacular advances in the electronics industry. More recently, with the rise of microfluidics, microfabrication has enabled the development of microchemical systems for a variety of chemical and biological applications. This work focuses on the development of these systems for improved gas phase heterogeneous catalysis research. The catalyst development process often requires fundamental information such as reaction rate constants, activation energies, and reaction mechanisms to gauge and understand catalyst performance. To this end, we have examined the ability of microreactors with a variety of geometries to efficiently obtain accurate kinetic information. This work primarily focuses on microfabricated packed-bed reactors that utilize standard catalyst particles and briefly explores the use of membrane based reactors to obtain kinetic information. Initial studies with microfabricated packed-beds led to the development of a microfabricated silicon reactor that incorporates a novel cross-flow design with a short pass multiple flow-channel geometry to reduce the gradients that often confound kinetics in macroscale reactors. The cross-flow geometry minimizes pressure drop though the particle bed and incorporates a passive flow distribution system composed of an array of shallow flow channels. Combined experiments and modeling confirm the even distribution of flow across the wide catalyst bed with a pressure drop [approx.] 1600 times smaller than typical microfabricated packed-bed configurations.(cont.) Coupled with the inherent heat and mass transfer advantages at the sub-millimeter length scale achievable through microfabrication, the cross-flow microreactor has been shown to operate in near-gradientless conditions and is an advantageous design for catalyst testing. The ability of microfabricated packed-beds to obtain accurate catalytic information has been demonstrated through experiments with phosgene generation over activated carbon, and CO oxidation and acetylene hydrogenation over a variety of noble metals on alumina. The advantages of using microreactors for catalyst testing is quantitatively highlighted throughout this work.by Sameer K. Ajmera.Ph.D
Prevalence and relationship between periodontal disease and pre-term low birth weight infants at King Khalid university hospital in Riyadh, Saudi Arabia
No full textThe aim of this study was to examine the prevalence and relationship between periodontal disease and preterm
low birth weight (PLBW) among Saudi mothers at King Khalid University Hospital (KKUH) in Riyadh,
Saudi Arabia. The periodontal status and the relative risk were also analyzed. The study consisted of 30 cases
[infants <37 weeks and/or weighing ≥2.500 kilograms (kg)] and a daily random sample of 60 controls [≥ 37
weeks and/or weighing >2.500 kg]. Clinical periodontal indices were measured on the labor wards. Associated
risk factors for periodontal disease and PLBW were ascertained by means of a structured questionnaire and
maternal notes. The prevalence of the PLBW was found to be 11.3%, and the prevalence of periodontal disease
was high among the study population. The risk of PLBW remained high with increasing periodontal disease
(odds ratio [OR] 4.21, 95% confident interval [CI] 1.99-8.93) despite controlling the other risk factors such
as age, smoking, and social class. In conclusion, there is a correlation between periodontal disease and PLBW
in KKUH.The research is
registered in King Saud University College of Dentistry, Research Center (CDRC). NF#1907Corresponding Author:
Dr. Sameer Abdullah Mokeem, Associate Professor and Consultant, Division of Periodontics, College of Dentistry, King Saud University, P.O. Box 85032
Riyadh 11691, Saudi Arabia.
Email: [email protected]
Role of Maximum Entropy and Citizen Science to Study Habitat Suitability of Jacobin Cuckoo in Different Climate Change Scenarios
No full textRecent advancements in spatial modelling and mapping methods have opened up new horizons for monitoring the migration of bird species, which have been altered due to the climate change. The rise of citizen science has also aided the spatiotemporal data collection with associated attributes. The biodiversity data from citizen observatories can be employed in machine learning algorithms for predicting suitable environmental conditions for species’ survival and their future migration behaviours. In this study, different environmental variables effective in birds’ migrations were analysed, and their habitat suitability was assessed for future understanding of their responses in different climate change scenarios. The Jacobin cuckoo (Clamator jacobinus) was selected as the subject species, since their arrival to India has been traditionally considered as a sign for the start of the Indian monsoon season. For suitability predictions in current and future scenarios, maximum entropy (Maxent) modelling was carried out with environmental variables and species occurrences observed in India and Africa. For modelling, the correlation test was performed on the environmental variables (bioclimatic, precipitation, minimum temperature, maximum temperature, precipitation, wind and elevation). The results showed that precipitation-related variables played a significant role in suitability, and through reclassified habitat suitability maps, it was observed that the suitable areas of India and Africa might decrease in future climatic scenarios (SSPs 2.6, 4.5, 7.0 and 8.5) of 2030 and 2050. In addition, the suitability and unsuitability areas were calculated (in km2) to observe the subtle changes in the ecosystem. Such climate change studies can support biodiversity research and improve the agricultural economy
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