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The purpose of the study is to identify the strengths, weaknesses, opportunities and threats in higher education regarding distance learning system in Pakistan.

A mixed-method research design was used in this study. The population of the study was all the previous students of research work and all the teachers of these students working at MPhil and PhD level in AIOU in Pakistan. Stratified random sampling technique was used in this study. This study used the questionnaire and interview technique to collect data. Data of questionnaire was in numbers and data of interview was narrative. So it was the need of the study that a mixed-method approach, i.e. both quantitative and qualitative techniques should be used in this study.

The findings of the study show that AIOU has also strengths, weaknesses, opportunities and threats in higher education related to distance education like all the formal and distance universities of Pakistan and World. This study reflected that AIOU is a great blessing for those who cannot acquire their education regularly because of financial/family problems or they are job holders. But this study also described that at higher level students are facing a lot of problems especially there is a delay in research process and provision of no scholarships to students. The teachers have a low salary package than the other public universities of Pakistan and a lot of responsibilities to attend meetings, seminars, conferences and workshops. So they have less time for research work. And AIOU provides them fewer opportunities to go abroad for further studies or to attend conferences/seminars. This study recommended that there should be adopted such policies in AIOU that students could get their study materials, assignments duration, workshops schedule and degrees in time, the teachers of the concerned departments should allow to take more in numbers the students under their supervision, the pay package for the teachers working at MPhil and PhD level should be raised and the opportunities for the faculty members to go.

This study is limited to analyze the higher education system especially the distance learning system in Pakistan.

This study has indicated the strengths, weaknesses, opportunities and threats in higher education which the AIOU is facing recently and the policymakers can develop plans/strategies to make better the distance learning system especially at higher level in Pakistan. This study can be helpful for the stakeholders who are interested in distance learning system. This study was conducted at higher level in the distance learning system but it can open the ways for the other researchers to conduct research in other disciplines related to distance education, i.e. at matric level, F.A/F.SC, B.Sc programs, Master level and M.Sc programs at AIOU.

Through this study, it can be acknowledged how the AIOU is providing the opportunity of education to a large number of people in the society who cannot study regularly in the formal institutions especially those who are job holders, some financial problems and women who have some family problems and above one million people are benefitting from AIOU in Pakistan and world.

This study is original in this respect because the data has been collected from the participants, i.e. students and teachers of AIOU. And it has also great value because this is the first SWOT analysis which has been conducted in this university to examine the strengths, weaknesses, opportunities and threats facing AIOU at present time. This study can also become a base for the stakeholders', i.e. policymakers, administration and higher education depart. of Pakistan in developing strategies to improve and amend the distance learning system of Pakistan especially at higher level in AIOU.

This paper aims to develop bilayer woven fabrics with different picking sequences with enhanced comfort without any change in the constituent materials.

Six bilayer woven fabrics were produced on Dobby loom with 3/1 twill weave using micro-polyester yarn. Three different picking sequences, i.e. single pick insertion (SPI), double pick insertion (DPI) and three pick insertion (3PI), were used in both face and back layers. The effect of picking sequence on air permeability (AP), volume porosity, thermal resistance and overall moisture management capability (OMMC) of the samples were analyzed.

The results showed that 3PI–3PI picking sequence gives the highest OMMC, AP and thermal resistance in bilayer woven fabrics and the least results exhibited by SPI–SPI picking sequence.

This research uses a bilayer woven system that develops channels and trapes the air causing higher thermal resistance; therefore, applicable for winter sports clothing rather than for summer wear. Developed bilayer woven fabrics can be used in winter sportswear to improve the comfort of the wearer and reduce fatigue during activity.

Authors have developed bilayer fabrics by changing the picking sequences, i.e. SPI, DPI and 3PI of weft yarns in both layers and compared their thermo-physiological comfort properties.

Nonlinear mixed-convective entropy optimized the flow of hyperbolic-tangent nanofluid (HTN) with magnetohydrodynamics (MHD) process is considered over a vertical slendering surface. The impression of activation energy is incorporated in the modeling with the significance of nonlinear radiation, dissipative-function, heat generation/consumption connection and Joule heating. Research in this area has practical applications in the design of efficient heat exchangers, thermal management systems or nanomaterial-based devices.

Suitable set of variables is introduced to transform the PDEs (Partial differential equations) system into required ODEs (Ordinary differential equations) system. The transformed ODEs system is then solved numerically via finite difference method. Graphical artworks are made to predict the control of applicable transport parameters on surface entropy, Bejan number, Sherwood number, skin-friction, Nusselt number, temperature, velocity and concentration fields.

It is noticed from present numerical examination that Bejan number aggravates for improved estimations of concentration-difference parameter a_2, Eckert number E_c, thermal ratio parameter ?_w and radiation parameter R_d, whereas surface entropy condenses for flow performance index n, temperature-difference parameter a_1, thermodiffusion parameter N_t and mixed convection parameter ?. Sherwood number is enriched with the amplification of pedesis-motion parameter N_b, while opposite development is perceived for thermodiffusion parameter. Lastly, outcomes are matched with formerly published data to authenticate the present numerical investigation.

To the best of the authors' knowledge, no investigation has been reported yet that explains the entropic behavior with activation energy in the flowing of hyperbolic-tangent mixed-convective nanomaterial due to a vertical slendering surface.

The primary goal of this study is to look at the behavioral factors that influence an individual's decision to invest in the Pakistan Stock Exchange (PSX).

Existing behavioral finance theories serve as a foundation for hypotheses. Further hypotheses were investigated by disseminating questionnaire results from a number of individual Pakistani investors. Brokerage and asset management fund managers were also questioned in semi-structured interviews. The obtained data were analyzed using statistical package for the social sciences, and latent variables were identified using the structural equation model (SEM) and an asset management operating system (AMOS).

Individual investor investment decisions in the PSX are influenced by five behavioral factors: herding, market, prospect, overconfidence and gambler fallacy and anchoring-ability bias. The majority of the variables have a modest impact; however, the market component has a significant impact. Only three behavioral elements, herding, prospect and heuristic, are found to influence investment performance among the behavioral factors stated above. Heuristic habits have been discovered to have the greatest positive impact on investment performance.

This study is one of the few in Pakistan that looked at the factors that influence stock investment decisions using behavioral finance. Prior research has only considered the effects of a restricted number of behavioral characteristics on Pakistani individual investors; however, this study seeks to use a whole collection of behavioral factors to examine their impacts on Pakistani individual investors.

The focus of the study remains on the individual investor, whereas the impact of institutional investors on investment behavior could bring different outcomes.

This is among the few studies that investigated the impact of cognitive factors on investment decisions in the context of Pakistan and will help policy makers, opinion makers and individuals.

The heat transfer properties play significant roles in the thermal comfort of the clothing products. The purpose of this paper is to find the relationship between heat transfer properties and fabrics' structure, yarn properties and predict the effective thermal conductivity of single layer woven fabrics by a parametric mathematical model.

First, the weave unit was divided into four types of element regions, including yarn overlap regions, yarn crossing regions, yarn floating regions and pore regions. Second, the number and area proportion of each region were calculated respectively. Some formulas were created to calculate the effective thermal conductivity of each element region based on serial model, parallel model or series–parallel mixing model. Finally, according to the number and area proportion of each region in weave unit, the formulas were established to calculate the fabric overall effective thermal conductivity in thickness direction based on the parallel models.

The influences of yarn spacing, yarn width, fabric thickness, the compressing coefficients of air layers and weave type on the effective thermal conductivity were further discussed respectively. In this model, the relationships between the effective thermal conductivity and each parameter are some polynomial fitting curves with different orders. Weave type affects the change of effective thermal conductivity mainly through the numbers of different elements and their area ratios.

In this model, the formulas were created respectively to calculate the effective thermal conductivity of each element region and whole weave unit. The serial–parallel mixing characteristics of yarn and surrounding air are considered, as well as the compression coefficients of air layers. The results of this study can be further applied to the optimal design of mixture fabrics with different warp and filling yarn densities or different yarn thermal properties.

In the era of knowledge economy, the significance of intellectual capital has been increasing globally. Similarly, recent studies have focused on the importance of green intellectual capital in mitigating environmental degradation. However, only a few studies have analysed green intellectual capital and its impacts in the specific case of Pakistan. Hence, this study aims to investigate the effects of green intellectual capital on green innovation adoption in Pakistan’s manufacturing small and medium-size enterprises (SMEs).

We used a data sample of 235 SMEs, gathered from the four manufacturing sectors of Pakistan including: textile, chemical, pharmaceutical and steel and analysed using a multiple regression analysis approach.

The empirical results of this research indicate that green human capital and green structural capital significantly increase green innovation adoption. However, it must be noted that green relational capital has a positive but insignificant impact on green innovation adoption in manufacturing SMEs in Pakistan.

The findings and recommended policy measures of this study are important for the managers of manufacturing SMEs and policymakers to mitigate environmental destruction and achieve sustainable development through green intellectual capital.