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Search Results: 1 - 10 of 4641 matches for " Abdul Lateef Khanday "
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Life History and Biology of the Elm Bark Beetle Scolytus kashmirensis Schedl (Coleoptera: Curculionidae: Scolytinae) Infesting Ulmus villosa in Kashmir  [PDF]
Abdul Lateef Khanday, Abdul A. Buhroo
Open Journal of Forestry (OJF) , 2015, DOI: 10.4236/ojf.2015.54038
Abstract: Elm bark beetle Scolytus kashmirensis is a key pest of elm nurseries in the social forestry ecosystem of Kashmir. The biological and morphological characters of this species were determined both in field and in the laboratory. The larvae remained inactive throughout the winter which resumed their activity from the third week of March. Pupation started from the first week of April and the first swarming adults appeared from the last week of April. After emergence, the adults fly to suitable trees and undergo maturation feeding for 8.4 (±0.68 SD) days and females laid 46 (±9.45 SD) eggs on an average. The eggs hatched after an incubation period of 11 - 13 days. The five larval instars were distinguished from each other on the basis of the width of head capsule measurements. The larvae completed their development in 40 - 46 days. The pupal stage lasted for 10 - 20 days and finally adults emerge that lived for 45 - 60 days. The single longitudinal maternal gallery measured 42.67 (±11.07 SD) mm (on average) long and the larval gallery was 43 (±10.96 SD) mm (on average) in length. The seasonal distribution of various life stages and the number of generations were also recorded.
Assessment of Knowledge and Attitude in a Sample of Patients with Rheumatoid Arthritis and Its Association with Disease Activity and Severity: A Cross-Sectional Study  [PDF]
Sami Salman, Ahmad SAlnuaimi, Nizar Abdul Lateef, Rana Kadhum
Open Journal of Rheumatology and Autoimmune Diseases (OJRA) , 2014, DOI: 10.4236/ojra.2014.44031
Abstract: Background: Rheumatoid arthritis (RA) is a chronic and disabling disease that has a major impact on the lives of patients. Objectives: To test the patients’ knowledge about their disease, its treatment, its complications, and if this affects severity of the disease as measured by the disease activity index (DAS 28). Patients and Methods: A sample of 100 patients with RA who met the Criteria of American College of Rheumatology for RA agreed to participate in this study over the period September 2011-March 2012. Patients’ data were obtained by personal interview. The questionnaire included demographic characteristics and the patients’ knowledge about their disease. The disease activity was measured using standard (DAS28). Results: Thirty three percent of the patients didn’t have an idea about their disease, 20% didn’t know the reason for the investigations, 49% didn’t know the treatment and 40% didn’t know the side effects of their medications. Most patients had a high disease activity index, and there was a poor correlation between patients’ educational level and the disease activity. Conclusions: Neither the educational level nor the frequency of hospital admissions had effects on the knowledge about this disease. As most patients had a high disease activity, a better knowledge may improve disease control and prevent complications.
Quantitative Analysis of Criteria in University Building Maintenance in Malaysia
Olanrewaju Ashola Abdul-Lateef
Australasian Journal of Construction Economics and Building , 2010,
Abstract: University buildings are a significant part of university assets and considerable resources are committed to their design, construction and maintenance. The core of maintenance management is to optimize productivity and user satisfaction with optimum resources. An important segment in the maintenance management system is the analysis of criteria that influence building maintenance. Therefore, this paper aims to identify quantify, rank and discuss the criteria that influence maintenance costs, maintenance backlogs, productivity and user satisfaction in Malaysian university buildings. The paper reviews the related literature and presents the outcomes of a questionnaire survey. Questionnaires were administered on 50 university maintenance organizations. Thirty-one criteria were addressed to the university maintenance organizations to evaluate the degree to which each of the criteria influences building maintenance management. With a 66% response rate, it was concluded that the consideration of the criteria is critical to the university building maintenance management system. The quality of components and materials, budget constraints and the age of the building were found to be the most influential criteria but information on user performance satisfaction, problems associated with in-house workforce and shortage of materials and components were the least influential criteria. The paper also outlined that maintenance management is a strategic function in university administration.
Synthesis of 1,5-Benzodiazepine and Its Derivatives by Condensation Reaction Using H-MCM-22 as Catalyst
Sheikh Abdul Majid,Waheed Ahmad Khanday,Radha Tomar
Journal of Biomedicine and Biotechnology , 2012, DOI: 10.1155/2012/510650
Abstract: A simple and versatile method for the synthesis of 1,5-benzodiazepines is via condensation of o-phenylenediamines (OPDA) and ketones in the presence of catalytic amount of H-MCM-22 using acetonitrile as solvent at room temperature. In all the cases, the reactions are highly selective and are completed within 1–3 h. The method is applicable to both cyclic and acyclic ketones without significant differences. The reaction proceeds efficiently under ambient conditions with good-to-excellent yields.
Building Maintenance Management in a Malaysian University Campus: A Case Study
Olanrewaju Abdul Lateef,Mohd Faris Khamidi,Arazi Idrus
Australasian Journal of Construction Economics and Building , 2010,
Abstract: University buildings require maintenance in order to create a conducive environment that supports and stimulates learning, teaching, innovation, and research. The prime objective of maintenance is to ensure, as far as practicable, the continued peak performance of the building throughout its design life. This paper seeks to report the maintenance management system of a university institution in Malaysia. Primary data was gathered through the analysis of a case study. The objectives of the case study are to identify, describe and assess the maintenance management system used by the university. The major conclusion drawn from the case study was that although university building maintenance practices are corrective and cyclical there is a lack of a comprehensive maintenance management framework that guides the decision-making processes. The case study also revealed irregularities in the university’s maintenance management system.
EMPLOYEE INVOLVEMENT IN DECISION MAKING AND FIRMS PERFORMANCE IN THE MANUFACTURING SECTOR IN NIGERIA
Owolabi Lateef Kuye,Abdul-Hameed Adeola Sulaimon
Serbian Journal of Management , 2011,
Abstract: This study examines the relationship between employee involvement in decision making andfirms’ performance in the manufacturing sector in Nigeria. Data were generated by means ofquestionnaires to 670 manufacturing firms on employee involvement in decision making andperformance variables. Responses from the survey were statistically analysed using descriptivestatistics, product moment correlation, regression analysis and Z-test (approximated with theindependent samples t-test). The results of the study indicate a statistically significant relationshipbetween employee involvement in decision making and firms’ performance as well as reveal asignificant difference between the performance of firms whose employee involvement in decisionmaking are deep and the performance of firms whose employee involvement in decision making areshallow. The findings also reveal the involvement of participating firms in employee involvement indecision making. The implications of this study include the need for manufacturing firms todemonstrate high level of commitment to employee involvement in decision making for performanceenhancement.
Value –Based Maintenance Management Model for University Buildings in Malaysia-A Critical Review
Arazi Idrus,Mohd Faris Khamidi,A Olanrewaju Abdul Lateef
Journal of Sustainable Development , 2009, DOI: 10.5539/jsd.v2n3p127
Abstract: The essence of building maintenance is to increase the service life of a building by delaying deterioration, decay and failure. Building maintenance must therefore be considered as a strategic process if the value of a building is to be sustained. Building maintenance management is a complex and multi-faceted thought process that involves planning, directing, controlling and organizing maintenance services for the sustenance of the value of a building. It entails making intricate decisions under complex algorithms, uncertainty and risks within organizational resources. The purpose of this paper is to propose an alternative maintenance management model for university buildings in Malaysia. The proposed model reflects current thinking on building maintenance management. A number of studies have investigated the maintenance management of university buildings in Malaysia; however, all the studies have observed maintenance management procedures that are corrective and condition based. Nonetheless, this is contributing to the spate of maintenance backlogs and the lack of value delivery to the stakeholders. Although the research specifically focused on university buildings, many public and private sector organizations face similar maintenance management problems. Therefore this research has broader applications. The outcome of this research is to come up with a prototype maintenance management model that can facilitate university institutions to carry out buildings maintenance management services that meet the expectations and perceptions of the stakeholders.
Multi-Index Monte Carlo: When Sparsity Meets Sampling
Abdul-Lateef Haji-Ali,Fabio Nobile,Raul Tempone
Mathematics , 2014,
Abstract: We propose and analyze a novel Multi-Index Monte Carlo (MIMC) method for weak approximation of stochastic models that are described in terms of differential equations either driven by random measures or with random coefficients. The MIMC method is both a stochastic version of the combination technique introduced by Zenger, Griebel and collaborators and an extension of the Multilevel Monte Carlo (MLMC) method first described by Heinrich and Giles. Inspired by Giles's seminal work, we use in MIMC high-order mixed differences instead of using first-order differences as in MLMC to reduce the variance of the hierarchical differences dramatically. This in turn yields new and improved complexity results, which are natural generalizations of Giles's MLMC analysis and which increase the domain of the problem parameters for which we achieve the optimal convergence, $\mathcal{O}(\text{TOL}^{-2}).$ Moreover, in MIMC, the rate of increase of required memory with respect to $\text{TOL}$ is independent of the number of directions up to a logarithmic term which allows far more accurate solutions to be calculated for higher dimensions than what is possible when using MLMC. We motivate the setting of MIMC by first focusing on a simple full tensor index set. We then propose a systematic construction of optimal sets of indices for MIMC based on properly defined profits that in turn depend on the average cost per sample and the corresponding weak error and variance. Under standard assumptions on the convergence rates of the weak error, variance and work per sample, the optimal index set turns out to be the total degree (TD) type. In some cases, using optimal index sets, MIMC achieves a better rate for the computational complexity than the corresponding rate when using full tensor index sets...
Multi-Index Stochastic Collocation for random PDEs
Abdul Lateef Haji Ali,Fabio Nobile,Lorenzo Tamellini,Raul Tempone
Mathematics , 2015,
Abstract: In this work we introduce the Multi-Index Stochastic Collocation method (MISC) for computing statistics of the solution of a PDE with random data. MISC is a combination technique based on mixed differences of spatial approximations and quadratures over the space of random data. We propose an optimization procedure to select the most effective mixed differences to include in the MISC estimator. We then provide a complexity analysis that assumes decay rates of product type for such mixed differences. We show the effectiveness of MISC with some computational tests, comparing it with other related methods available in the literature, such as the Multi-Index and Multi-Level Monte Carlo, Multi-Level Stochastic Collocation, Quasi Optimal Stochastic Collocation and Sparse Composite Collocation methods.
A Geographic Information System and Multi-Criteria Decision Analysis in Proposing New Recreational Park Sites in Universiti Teknologi Malaysia
Dano Umar Lawal,Abdul-Nasir Matori,Abdul-Lateef Balogun
Modern Applied Science , 2011, DOI: 10.5539/mas.v5n3p39
Abstract: Nowadays, human life is being sustained by recreation and leisure, which play an important role in the human lifestyle. Urban areas with recreational facilities such as green spaces attract the dwellers to pass their leisure time in such spaces where they can enjoy the benefits of nature. In any modern university like Universitit Teknologi Malaysia (UTM), recreational activities are very important activities that can improve the quality of students’ lives and the learning environment as a whole. The recreational parks in UTM are not favourable in relation to their distances and locations from the students’ residential zones. It becomes necessary to investigate suitable locations for a new recreational park in order to encourage students’ participation in the activities of passive recreation. Therefore, this research was conducted on the UTM students with the aim of identifying whether the current recreational parks are efficient in relation to distances, locations, and facilities. Field survey has been conducted, which helped the researchers in coming up with some set of criteria. GIS tools were used in creating different datasets of the study area and the set of criteria generated were integrated into the Multi criteria Decision Process (MCDP). Pair-wise comparison method of Analytical Hierarchy Process (AHP) was used to evaluate the criterions obtained, and weightings were assigned and calculated. The results of the weightings obtained from this method finally identified the most suitable sites to locate the proposed recreational park.
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