Futuristic Approach Research Articles

Prediction of rainfall using complex data mining models with futuristic approach and methodologies

Prediction of rainfall using complex data mining models with futuristic approach and methodologies

Designing a knowledge based technology transfer model using the fourth generation approach in the automotive industry

Technology transfer is a process involving diverse and complex dimensions as an effective tool to reduce the technological gap between developed and developing countries. Over the last century, technology futurism has gone through three eras and is now entering its fourth generation. In the first generation the content of technology forecasting focused on hard technologies, the second generation focused on the combination of hard technology and the market, and the third generation focused on the future of hard technology and integrating social and economic dimensions. In the fourth generation, the emphasis has been on soft technologies, hard technologies, integration of economic, social, political and environmental dimensions as effective factors in technology transfer. The process of technology transfer in the Iranian automobile industry has been limited to the introduction of a set of machinery, maps, catalogs and guidelines. And based on the fuzzy Delphi method, a model has been developed for the transfer of knowledge-based technologies in the automotive industry with a fourth generation technology futuristic approach.

Collaborative Е-Rulemaking, Democratic Bots, and the Future of Digital Democracy

This article focuses on “deliberative e-rulemaking”: digital consultation processes that seek to facilitate public deliberation over policy or regulatory proposals [1, 2]. The main challenge of е-rulemaking platforms is to support an “intelligent” deliberative process that enables decision makers to identify a wide range of options, weigh the relevant considerations, and develop epistemically responsible solutions. This article discusses and critiques two approaches to this challenge: The Cornell RegulationRoom project and model of computationally assisted regulatory participation by Livermore et al. It then proceeds to explore two alternative approaches to e-rulemaking: One is based on the implementation of collaborative, wiki-styled tools. This article discusses the findings of an experiment, which was conducted at Bar-Ilan University and explored various aspects of a wiki-based collaborative е-rulemaking system. The second approach follows a more futuristic Approach, focusing on the potential development of autonomous, artificial democratic agents. This article critically discusses this alternative, also in view of the recent debate regarding the idea of “augmented democracy.”

Collaborative е-Rulemaking, Democratic Bots, and the Future of Digital Democracy

This article focuses on “deliberative e-rulemaking”: digital consultation processes that seek to facilitate public deliberation over policy or regulatory proposals [1, 2]. The main challenge of е-rulemaking platforms is to support an “intelligent” deliberative process that enables decision makers to identify a wide range of options, weigh the relevant considerations, and develop epistemically responsible solutions. This article discusses and critiques two approaches to this challenge: The Cornell RegulationRoom project and model of computationally assisted regulatory participation by Livermore et al. It then proceeds to explore two alternative approaches to e-rulemaking: One is based on the implementation of collaborative, wiki-styled tools. This article discusses the findings of an experiment, which was conducted at Bar-Ilan University and explored various aspects of a wiki-based collaborative е-rulemaking system. The second approach follows a more futuristic approach, focusing on the potential development of autonomous, artificial democratic agents. This article critically discusses this alternative, also in view of the recent debate regarding the idea of “augmented democracy.”

Effect of Greenhouse Gases on the Behaviour of Parabolic Trough Collector Based on CFD Simulation

Energy extraction by solar energy harnessing method is one of the most futuristic approach to accelerate towards green technologies. The parabolic trough solar collectors are most widely used entities in entire world for solar water heaters. The existing problem of low rate of water heating is disadvantageous for its commercial use. Hence the study focuses on observing the effect of greenhouse when the evacuated tubes are equipped with most common greenhouse gas CO_2 (Carbon dioxide). The simulations were carried out on Ansys (FLUENT) at steady state conditions. The parameters observed to compare the rate of boiling are Cell Reynolds number, Surface skin friction and the average steady state temperature. The greenhouse gas seems effective in increasing the rate of boiling due to which the Cell Reynolds number has increased in both minima and maxima.

Novel biotechnological strategies to combat biotic stresses: polygalacturonase inhibitor (PGIP) proteins as a promising comprehensive option.

Global climate change and combinatorial environmental stresses pose grave challenges to food security and agricultural sustainability. This calls for diverse and futuristic approaches for the development of crops with increased resilience to natural vagaries. Though innumerable strategies involving diverse genes/pathways are being deciphered in plants to aid stress mitigation, the hunt is still on. Furthermore, strategies that work to alleviate a combination of stresses are always pertinent. In this review, we discuss polygalacturonase inhibitor (PGIP) proteins as a plausible option to mitigate multiple biotic stresses. These are ubiquitous cell wall proteins that inhibit the pectin-depolymerizing activity of cell wall loosening enzymes, polygalacturonases (PGs). While plant PGs are those responsible for developmental activities like fruit ripening, pollen tube elongation, etc., PGs from various biotic stress factors like insects, fungal and bacterial pathogens aid in invasion by reducing the plant cell wall rigidity. To counteract, plants secrete PGIPs, which inhibit the pectin hydrolyzing activity of PGs from the attacking pests and pathogens. Multiple approaches in diverse crop species have demonstrated PGIP-based protection against pathogens and insect pests. Additionally, effectual interaction between PGs-PGIP is an important aspect for successful utilization of this approach. Molecular strategies leading to improved PG-PGIPs interaction is a highlight to demonstrate the use of PGIPs as an amenable stress mitigation approach. The review focuses on a comprehensive update on phylogeny of PGIPs, natural variation of resistance as well as their emerging translational utility towards mitigation of various biotic stresses.

Decreasing the execution time of reducers by revising clustering based on the futuristic greedy approach

MapReduce is used within the Hadoop framework, which handles two important tasks: mapping and reducing. Data clustering in mappers and reducers can decrease the execution time, as similar data can be assigned to the same reducer with one key. Our proposed method decreases the overall execution time by clustering and lowering the number of reducers. Our proposed algorithm is composed of five phases. In the first phase, data are stored in the Hadoop structure. In the second phase, we cluster data using the MR-DBSCAN-KD method in order to determine all of the outliers and clusters. Then, the outliers are assigned to the existing clusters using the futuristic greedy method. At the end of the second phase, similar clusters are merged together. In the third phase, clusters are assigned to the reducers. Note that fewer reducers are required for this task by applying approximated load balancing between the reducers. In the fourth phase, the reducers execute their jobs in each cluster. Eventually, in the final phase, reducers return the output. Decreasing the number of reducers and revising the clustering helped reducers to perform their jobs almost simultaneously. Our research results indicate that the proposed algorithm improves the execution time by about 3.9% less than the fastest algorithm in our experiments.

Ten Recommendations to Improve Pharmacy Practice in Low and Middle-Income Countries (LMICs)

Medicines are important health interventions and their appropriate use could improve health outcomes. Throughout the globe, pharmacists play a very important role to improve the use of medicines. Though high-income countries debate on futuristic approaches; independent prescribing of pharmacists, clinical skills, and to expand pharmacy services a large majority of low and middle-income countries still have to go long way to strengthen pharmacy practice and to improve the “use of medicines”. This paper presents a key set of recommendations which can improve pharmacy practice in low and middle income countries (LMICs). These recommendations are also increasingly vital in the context of the current COVID-19 situation.

NOTTO transplant specific guidelines with reference to COVID-19

NOTTO transplant specific guidelines with reference to COVID-19

Predicting Attitude of Indian Student’s Towards ICT and Mobile Technology for Real-Time: Preliminary Results

This paper proposed a novel futuristic approach to support the educational informatics and overcome the conventional system of attitude measure. For this, we presented a significant predictive model to identify the attitude of students towards technology. The present approach not only explored the impact of the technology but also predicted an opinion of students. The concept of an online awareness model may overcome the traditional method. We have performed the descriptive and inferential statistics to predict the attitude of Indian students towards the ICTMT in university education with primary data samples. Factor Analysis (FA) using Principal Component Analysis (PCA) has extracted the prominent two components with nine features for technology benefits and six features for the technology use. The SQuareRoot (SQRT) and Log transformations have been used to decrease the Skewness, and it has also improved the association between attitude and educational benefit. Overall reliability of the gathered data sample size of 163 calculated 0.957 provided with Cronbach alpha test. This study has used a Pearson Correlation (PC) for exploring the technology impact and the Linear Regression Model (LRM) for the prediction. The LRM has substantiated that the educational benefit explained the attitude significantly, and a significant positive association discovered using the PC with a value of 0.75. The LRM model projected nine most significant educational benefits of ICTMT, which affected the attitude of the Indian student towards technology. We have proposed technology aids in building online predictive model wires real-time prediction.

Sustainability as a Predominant Futuristic Approach of the Product Design

Sustainability as a Predominant Futuristic Approach of the Product Design

Transforming to a Democratic Islamic University: An Application of Futuristic Approaches

Change is a double-edged knife. It is both beneficial and harmful. A changing organization must first recognize the needs for change before planning a radical transformation. However, some organizations can fail to identify and devise effective measures to transform since the transforming layers are beyond overt variables: such as the aspects of ideology and metaphors. This paper is dealing with the need for change in a private university in Indonesia. Unsuccessful effort to manage the change has produced unproductive conflicts in the university. To generate an effective transformation plan, the researchers employed, ethnography, an embedded participant observation, to gather rich data. Followed by a combination of two futuristic methods namely Causal Layered Analysis (CLA) and backcasting to deeply comprehend the fabrics of the present, generate an alternative and preferred future, and present ideal measures to actualize the preferred future along with potential risks. The result suggests the university to transform all covert and overt layers in concert to be a progressive democratic Islamic university. 1 1 1 1 MicrosoftInternetExplorer4 0 2 DocumentNotSpecified 7.8 磅 Normal 0

Formulation and optimization for DPP-4 inhibitor nanomicelles using response surface methodology

Objective: Dipeptidyl peptidase-4 (DPP-4) inhibitors are the oral antidiabetics that inhibits the enzyme DPP-4. The main aim of study was to formulate, statistically optimize and characterize the polymeric nanomicellar (PNM) formulation of DPP-4 inhibitor (sitagliptin) using natural polymer and a nonionic surfactant.Method: Response surface methodology (RSM) an experimental design was applied for optimization of nanomicelles using full central composite design. Drug and polymer concentration are independent variables (each at two factor three level) whereas drug loading (% DL) (R1), entrapment efficiency (% EE) (R2) and % drug release (R3) were identified as dependent variables. The polymeric nanomicelles were prepared by direct dissolution method and characterized for surface morphology, particle size, polydispersity index, zeta potential, entrapment efficiency, drug loading, and % drug release.Results: The optimized formulation of sitagliptin loaded polymeric nanomicelles (PNM 10) was found to be clear, homogenous nanomiceller solution with round spherical structures with a low poly dispersity index of 0.564. PNM 10 has particle size of 368.2 nm. PNM 10 showed drug loading of 38.67 ± 0.23%, entrapment efficiency of 79.67 ± 0.54% and % drug release (R3) of 82.34 ± 0.78%.Conclusion: Design-Expert (DOE) version 11.0.5.0 software (Stat-Ease Inc, USA) was used for statistically optimization of formulations. PNM 10 was considered best optimized formulation and highly stable for prolonged use and found to be safe for application. Thus this can be a futuristic approach for developing nanomicelles, which can minimize the possible side effects of drug.

23 Full factorial design for optimization of stable amorphous host–guest-based mirabegron complex for extended-release action

The current study was to develop a stable amorphous mirabegron complex with improved solubility, stability, and extended-release of action. HPβCD was screened as a suitable complexing agent, which exhibited an entrapment efficiency of 91.2 ± 3.4% and facilitated transformation of drug into the amorphous state. The addition of ethylcellulose extended the release of the complex by 81.4 ± 2.8% for 12 h. The influence of HPβCD and ethyl cellulose on the crystal habit of mirabegron was analyzed by XRPD, DSC, ATR FTIR and morphological behavior were analyzed by SEM. 23 Full factorial design was used to optimize the mirabegron complex. The outcomes of stability studies illustrated amorphous complex was stable for 6 months at long-term and accelerated storage conditions, where content uniformity came under the accepted range of 98–102%. Thus, HPβCD-based inclusion complex represents a futuristic approach to design mirabegron formulation with improved solubility and extended-release of action in over active bladder syndrome. Host-guest complex of HPβCD and mirabegron.

An Increasing Role of Polyphenols as Novel Therapeutics for Alzheimer's: A Review.

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder, with approximately 29 million older people suffering from this disease worldwide. This number is expected to become triple by 2050. AD is a complex and multifactorial neurodegenerative condition, characterized by complex pathology including oxidative stress, formation of aggregates of amyloid and tau, enhanced immune responses, metal deposition and disturbances in cholinesterase enzymes. There is no effective pharmacological treatment for combating the disease to date. The ineffectiveness of current pharmacological interventions in AD has led scientists to search for more safe and effective alternative therapeutic agents. Thus, natural products have become an important avenue for drug discovery in AD research. In this regard, polyphenols are natural products that have been shown to be effective in the modulation of the type of neurodegenerative changes seen in AD, suggesting a possible therapeutic role. The present review focuses on the chemistry of polyphenols, clinical studies for evaluating polyphenols as effective alternatives in AD treatment, cellular and molecular aspects of polyphenols in improving cognitive deficits and the current challenges and futuristic approaches to use polyphenols as safe and effective therapeutic agents in AD treatment.

The Bio-adaptive algae contribution for sustainable architecture

By studying nature, engineers, architects & designers can gain inspiration for designs that have never existed before; therefore applying bio mimicry can affect our buildings. For every problem that we currently face – whether it is generating energy, finding clean water, designing out waste, adapting with surrounded climate or manufacturing benign materials - we can use the different applications of biomimicry to achieve sustainable futuristic design approaches. The focus of this paper is on the use of algae as a promising bio sustainable way to achieve sustainable architecture. According to its high ecological performance, algae provides multi solutions towards improving the environment and opens a new perspective in sustainable design through its combination of carbon neutral energy production and recycling of environmental pollutants. By clarifying the challenges and future technology development for introducing algae as living elements into the built environment to make an appearance in many building plans that attempt to achieve visionary design and face technical challenges that need to be resolved to enable wider adoption. Therefore, this research aims to demonstrate how to use biomimicry to enhance sustainable solutions in building design and gives a glance of the algae possibilities for achieving sustainability.

Entrepreneurial leadership for university leaders: A futuristic approach for Pakistani HEIs

The current study focused on the complications and issues affiliated to universities’ leadership. It investigated the relationships of managerial competency and learning orientation with job performance of university leaders. The study also examined the mediating role of entrepreneurial leadership in these relationships. The study used a survey design and collected data (N = 242) from leaders of public sector HEIs. The proposed model was tested using partial least squares (PLS) technique. The findings suggested that managerial competency and learning orientation were positively related to job performance. In addition, the findings revealed that entrepreneurial leadership mediated the relationships of managerial competency and learning orientation with job performance. This study provides significant implications for theory and investigations on strengthening university leadership and provides evidence as to how such leadership has significance for impressive job performance. Finally, the study provides important implications for improving university leadership.

The Futuristic Approach for Enhanced Oil Recovery, MEOR

The Futuristic Approach for Enhanced Oil Recovery, MEOR

Designing an Accreditation Model for North Khorasan University of Medical Sciences with a Futuristic Approach

Background: Accreditation process has notable effects on quality assurance in medical education and faculty development. This process determine if an institution meets or exceeds minimum standards of quality. At present, there is a lack of a standardized model of accreditation for medical University in Iran. Therefore, this study aimed to design an accreditation model for North Khorasan University of Medical Sciences with a futuristic approach. Methods: This was an exploratory sequential Mixed- methods study. The sample consisted of all vice chancellors, departments' managers, administrators and executive bodies of North Khorasan University of Medical Sciences. In the qualitative phase, based on the purposeful sampling method, 10 in-depth semi-structured interviews were performed. After data saturation and identifying key concepts, the literature review was performed to elucidate the theoretical foundations of University Accreditation. In the second phase, based on purposeful sampling method, 259 participants were selected to complete the 75 questions using a researcher made questionnaire. 10 professors evaluated the face and content validity of the questionnaire. An exploratory analysis of content undertaken to identify the 12 main factors of accreditation model and a confirmatory factor analysis was employed to verify the construct validity. A Cronbach alpha coefficient of 0.825 indicated the excellent reliability of the questionnaire. SPSS software and AMOS version 24 were used to analyze the data. Results: Based on the results of exploratory factor analysis, 12 factors were identified as model's main factors, including 1) organizational management (5.21), 2) strategy formulation (4.90), 3) research (4.39), 4) mission and goals (4.13), 5) students (3.84), 6) Informatics' Technology (3.74), 7) Human Resources (3.57), 8) Planning (3.36), 9) Faculty Services (3.11), 10) educational facilities (2.86), 11) financial factors (2.48), and 12) education (2.26). The sum of factors' variance percentages showed that the predictive power of the model is equal to 58.47%. Conclusion: The model has been fitted to measure the accreditation of North Khorasan University of Medical Sciences with a futuristic approach. Therefore, it is suggested that this model can be evaluated for accreditation of similar medical University.

The Pathogenesis of Port Wine Stain and Sturge Weber Syndrome: Complex Interactions between Genetic Alterations and Aberrant MAPK and PI3K Activation.

Port wine stain (PWS) is a congenital vascular malformation involving human skin. Approximately 15–20% of children a facial PWS involving the ophthalmic (V1) trigeminal dermatome are at risk for Sturge Weber syndrome (SWS), a neurocutaneous disorder with vascular malformations in the cerebral cortex on the same side of the facial PWS lesions. Recently, evidence has surfaced that advanced our understanding of the pathogenesis of PWS/SWS, including discoveries of somatic genetic mutations (GNAQ, PI3K), MAPK and PI3K aberrant activations, and molecular phenotypes of PWS endothelial cells. In this review, we summarize current knowledge on the etiology and pathology of PWS/SWS based on evidence that the activation of MAPK and/or PI3K contributes to the malformations, as well as potential futuristic treatment approaches targeting these aberrantly dysregulated signaling pathways. Current data support that: (1) PWS is a multifactorial malformation involving the entire physiological structure of human skin; (2) PWS should be pathoanatomically re-defined as “a malformation resulting from differentiation-impaired endothelial cells with a progressive dilatation of immature venule-like vasculatures”; (3) dysregulation of vascular MAPK and/or PI3K signaling during human embryonic development plays a part in the pathogenesis and progression of PWS/SWS; and (4) sporadic low frequency somatic mutations, such as GNAQ, PI3K, work as team players but not as a lone wolf, contributing to the development of vascular phenotypes. We also address many crucial questions yet to be answered in the future research investigations.