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Search Results: 1 - 10 of 924 matches for " Sheikh Jibran "
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Pecking at Pecking Order Theory: Evidence from Pakistan’s Non-financial Sector
Sheikh Jibran,Shakeel Ahmed Wajid,Iqbal Waheed,Tahir Masood Muhammad
Journal of Competitiveness , 2012,
Abstract: This study tests the Pecking Order Theory for the capital structure of listed firms in Pakistan. As per Pecking Order Theory in capital structure formulation, internally generated resources would have first priority, followed by debt issuance where equity is used as a last resort. In its strong form, the Pecking Order Theory sustains that equity issues would never occur, whereas in its weak form, limited amounts of issues are acceptable. The methodology adopted in this empirical study involves cross-section regressions and the testing of hypotheses stemming from the underlying theory in its strong and weak forms. A sample of capital structure of non-financial firms listed at KSE is considered from 2001 to 2008. A statistical tool of panel data regression analysis is used to test different firms’ data. The value of R2, t-test and F-Stat indicate firms in KSE supporting the weak form of pecking order theory, i.e., the option of using internal equity and debt is more preferred and a limited amount of external equity is used for reinvestment and fund raising purposes.
Examination of Theoretical and Empirical Studies on Firm’s Performance in Relation to its’ Board Size: A Study of Small and Medium Size Public Firms
Jibran Sheikh,M. Majid Khan,Waheed Iqbal,Wajid Shakeel Ahmed
Journal of Management Research , 2012, DOI: 10.5296/jmr.v4i2.1504
Abstract: This research presented a review of key theoretical and empirical studies on firm’s performance and its board size. The review included on small & medium sized and public owned firms from manufacturing to financial sectors. The research concludes that the evidence on positive or negative correlation between board size and a firm’s performance is mixed (inconclusive) and need for further empirical investigation on this subject is warranted. It was found that the choice of optimal board size can vary in one firm to other, depending on nature of business operations, i.e. for high debt-financed firms with high advisory requirements may require large board to advise CEO on complex matters, as does the banking and saving & loans holding companies where more of expert advice, diversified opinions, professional skills are needed. Also, the firms with poor operating performance may increase their board size as one of their strategy to improve profitability given that new board members will contribute in the form of increased networking, skills, opinion and expert advice.
Preliminary Results – Hyperspectral Image Analysis for Dolomite Identification in Tarbela Dam Region of Pakistan
Jibran Khan
International Journal of Innovative Technology and Exploring Engineering , 2013,
Abstract: The blessings of hyperspectral remote sensing are manifold and it has enabled researchers to locate, map and identify different materials on the surface of Earth. Hyperspectral remote sensing play a key role in mineral mapping activities and it can be a much powerful and cost effective tool for mineral development activities in a developing country like Pakistan where there are rich mineral resources but lack of means of extraction is still a constraint in their efficient usage for betterment of country’s economy. In this paper we investigate the adequacy of the hyperspectral remote sensing data acquired by Earth Observing -1 (EO-1) hyperspectral sensor, over an area of Tarbela Dam region (Lat. 320 05’N, Long. 720 41’ E), which is a rich mineral resource of Pakistan. Many notable minerals have been found in this region among which analysis of identification of dolomite through hyperspectral imagery of Tarbela Dam region is the major aspiration of this research article. The results presented in this paper may refer to the preliminary steps that can be taken for minerals identification using hyperspectral imaging in Pakistan. The analysis of spectral signature of the dolomite which is a sedimentary carbonate rock and a mineral both composed of calcium magnesium carbonate is described through software Erdas IMAGINE . However large noise ratio showed to represent a constraint for dolomite identification as it is likely to conceal spectral information due to rocks and vegetation cover. In the end, we suggest some techniques to help improve these analyses.
Optimal Protocols for Nonlocality Distillation
Peter Hoyer,Jibran Rashid
Physics , 2010, DOI: 10.1103/PhysRevA.82.042118
Abstract: Forster, Winkler, and Wolf recently showed that weak nonlocality can be amplified by giving the first protocol that distills a class of nonlocal boxes (NLBs) [Phys. Rev. Lett. 102, 120401 (2009)]. We first show that their protocol is optimal among all non-adaptive protocols. We next consider adaptive protocols. We show that the depth 2 protocol of Allcock et al. [Phys. Rev. A 80, 062107, (2009)] performs better than previously known adaptive depth 2 protocols for all symmetric NLBs. We present a new depth 3 protocol that extends the known region of distillable NLBs. We give examples of NLBs for which each of Forster et al.'s, Allcock et al.'s, and our protocol performs best. The new understanding we develop is that there is no single optimal protocol for NLB distillation. The choice of which protocol to use depends on the noise parameters for the NLB.
Implications of quantum automata for contextuality
Jibran Rashid,Abuzer Yakaryilmaz
Computer Science , 2014,
Abstract: We construct zero-error quantum finite automata (QFAs) for promise problems which cannot be solved by bounded-error probabilistic finite automata (PFAs). Here is a summary of our results: - There is a promise problem solvable by an exact two-way QFA in exponential expected time, but not by any bounded-error sublogarithmic space probabilistic Turing machine (PTM). - There is a promise problem solvable by an exact two-way QFA in quadratic expected time, but not by any bounded-error $ o(\log \log n) $-space PTMs in polynomial expected time. The same problem can be solvable by a one-way Las Vegas (or exact two-way) QFA with quantum head in linear (expected) time. - There is a promise problem solvable by a Las Vegas realtime QFA, but not by any bounded-error realtime PFA. The same problem can be solvable by an exact two-way QFA in linear expected time but not by any exact two-way PFA. - There is a family of promise problems such that each promise problem can be solvable by a two-state exact realtime QFAs, but, there is no such bound on the number of states of realtime bounded-error PFAs solving the members this family. Our results imply that there exist zero-error quantum computational devices with a \emph{single qubit} of memory that cannot be simulated by any finite memory classical computational model. This provides a computational perspective on results regarding ontological theories of quantum mechanics \cite{Hardy04}, \cite{Montina08}. As a consequence we find that classical automata based simulation models \cite{Kleinmann11}, \cite{Blasiak13} are not sufficiently powerful to simulate quantum contextuality. We conclude by highlighting the interplay between results from automata models and their application to developing a general framework for quantum contextuality.
Why Are Ethnic Minorities Under-Represented in US Research Studies?
Sheikh
PLOS Medicine , 2005,
Abstract:
Effect of Hot Accumulative Roll Bonding Process on the Mechanical Properties of AA5083  [PDF]
Hassan Sheikh, Ebrahim Paimozd
Open Journal of Metal (OJMetal) , 2011, DOI: 10.4236/ojmetal.2011.11002
Abstract: In this work, accumulative roll bonding (ARB) process as a severe plastic deformation was applied on an AA5083 sheet up to 6 cycles at the temperature of 300℃ and at the strain rate of 50 s­‐1. The results of tensile tests show that the values of the yield stress and the ultimate tensile strength don't change considerably after 4 cycles. Also, transmission electron microscopy (TEM) micrograph confirmed that the microstructure has fine (sub) grains with the size of 200 nm - 400 nm.
Mixed Convective Flow of Micropolar Fluids past an Inclined Porous Flat Plate  [PDF]
Nadim Sheikh, Maruf Hasan
Open Journal of Fluid Dynamics (OJFD) , 2017, DOI: 10.4236/ojfd.2017.74042
Abstract:
Mixed convective flow of a viscous incompressible electrically conducting micropolar fluid along a semi-infinite inclined permeable flat plate with viscous dissipation has been analyzed numerically. With appropriate transformations the boundary layer equations are transformed into a set of nonlinear ordinary differential equations. The local similarity solutions of the transformed dimensionless equations for the flow, microrotation and the heat transfer characteristics are evaluated using Nachtsheim-Swigert shooting iteration technique (guessing the missing value) together with sixth order Runge-Kutta-Butcher integration scheme. Numerical results are presented in the form of non-dimensional velocity, microrotation and temperature profiles within the boundary layer for different parameters entering into the analysis. The effects of pertinent parameters on the local skin friction coefficient (viscous drag), plate couple stress and rate of heat transfer (Nusselt number) are also displayed graphically.
A Review on Mobile and Sensor Networks Innovations in Intelligent Transportation Systems  [PDF]
Emad Felemban, Adil A. Sheikh
Journal of Transportation Technologies (JTTs) , 2014, DOI: 10.4236/jtts.2014.43020
Abstract:

Rapid developments of mobile technologies, data acquisition and big data analytics, and their integration with critical application domains such as transportation systems have the potential to produce more efficient, real-time, intelligent and safe transportation infrastructure. To increase the quality of transportation services, wireless sensor networks, mobile phones, crowd sourcing, RFID and Bluetooth technologies are being used. We surveyed innovations that were transformed from ideas in research labs into commercial systems in practical use. In this paper, we present some innovative mobile technologies, services and platforms that are being used in modern transportation applications including traffic data acquisition, traffic management and control, route optimizations, infrastructure redesign, road safety and enhancing user experience.

CHILD LABOR
MUHAMMAD HASNAYN AHMAD,Ghulam Mustafa,JIBRAN MOHSIN,Asim Mumtaz Khan
The Professional Medical Journal , 2011,
Abstract: Background: Child Labor is any kind of work that harms or exploits the children in some way (physically, mentally, morally orblocking access to education). Child labor is quite common in Pakistan, and is still ignored; which depicts the society's attitudes towards child care. Child labor is an ethical dilemma and special attention must be given to this issue. Objective: To determine the factors responsible for child labor in Shadman Market Lahore. Study design: Descriptive, Cross sectional. Place and duration: Shadman Colony Lahore, July-August 2010. Methodology: Structured Pretested questionnaire was used to asses the factors responsible for child labor. Results: Large family size,low income per capita and parental illiteracy were shown to be responsible for child labor. Conclusion: Family size, income per capita and patrental education has a large scale effect on child labor.Key words:- Child labor, Family size, income per capita, parental education.
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