The Telehealth Chain: a protocol for secure and transparent telemedicine transactions on the blockchain

Blockchain technology provides a secure and decentralized platform for storing and transferring sensitive medical data, which can be utilized to enable remote medical consultations. This paper proposes a theoretical framework for creating a blockchain-based digital entity to facilitate telemedicine services. The proposed framework utilizes blockchain technology to provide a secure and reliable platform for medical practitioners to remotely interact with patient transactions. The blockchain will serve as a one-stop digital service to secure patient data, ensure privacy, and facilitate payments. The proposed framework leverages the existing Hyperledger Fabric platform to build a secure blockchain-assisted telemedicine platform

Domestic animals’ identification using PCR-RFLP analysis of cytochrome b gene

Background: Species identification is an important process to identify the origin of meat, adulteration and for  cooked and processed meat. The present study was conducted to identify cattle (Bos taurus) and buffalo (Bubalus bubalis) by using mitochondrial cytochrome-b (Cyt-b) gene. Size of the gene is 1140 bp, but we amplified 359 bp that is cleaved by specific restriction endonucleases. The aim of this study was species identification through Cyt-b gene by using PCR-RFLP analysis.Methods: For this study, 55 blood samples were collected from different species of domestic animals. The DNA was extracted from the whole blood through blood extraction kit. The DNA of these samples were amplified through PCR using universal Cyt-b primers. The amplified product was treated with restriction enzymes Alu I. The resultant fragments were viewed on 3.0 % agarose gel.Results: Cyt-b gene was amplified of all included animals. Different bands were observed as compared with 50 bp DNA ladder. Animals were identified on the base RFLP mediated by Alu1 restriction enzyme.Conclusion: We identified domestic animals on the basis of Mitochondrial Cyt-b gene by the process of PCR-RFLP. To identify specific animals through RFLP, a larger sample size and confirmation by gene sequence analysis may be helpful.Keywords: Domestic Animal Identification; Cytochrome b gene; AluI restriction enzyme; PCR-RFLP Analysi

Prevalence of malaria, typhoid and co-infection in District DIR (lower), Pakistan

Malaria and typhoid fever are among the most endemic diseases in the tropical and developing countries. Both diseases share similar transmission factor and often have the similar symptom. Based on this reason, much medical personnel try to cure both malaria and typhoid instantaneously in each case of suspected Salmonella infection and vice versa. The District Dir (Lower) is a favorable location for the protozoan nourishment and secondly mostly reported cases of malaria and typhoid co-infections. The main objective of this study was to find out the prevalence of malaria and typhoid co-infection in the District Dir (Lower), Khyber Pakhtunkhwa (KPK), Pakistan. The blood samples of 1889 patients were examined from September 2012 to April 2013, out of which 311 (16.46%) were positive for malaria and typhoid. Out of these infected, 117 (38%) sample was positive for malaria, 183 (58%) sample were positive for typhoid while co-infected cases were only 11 (4%). The current results indicate that this area is endemic for malaria and typhoid and co-infection. Its infection is prevalent in both the genders at varying degrees

(Cyano­meth­yl)triphenyl­phospho­nium chloride

In the mol­ecule of the title compound, C20H17NP+·Cl−, the coordination around the P atom is slightly distorted tetra­hedral. In the crystal structure, inter­molecular C—H⋯N and C—H⋯Cl hydrogen bonds link the mol­ecules. There is a π–π contact between the phenyl rings [centroid–centroid distance = 3.702 (3) Å]

Investigation of Heat Transfer and Pressure Drop in Microchannel Heat Sink Using Al2O3 and ZrO2 Nanofluids.

A new micro heat exchanger was analyzed using numerical formulation of conjugate heat transfer for single-phase fluid flow across copper microchannels. The flow across bent channels harnesses asymmetric laminar flow and dean vortices phenomena for heat transfer enhancement. The single-channel analysis was performed to select the bent channel aspect ratio by varying width and height between 35–300 µm for Reynolds number and base temperature magnitude range of 100–1000 and 320–370 K, respectively. The bent channel results demonstrate dean vortices phenomenon at the bend for Reynolds number of 500 and above. Thermal performance factor analysis shows an increase of 18% in comparison to straight channels of 200 µm width and height. Alumina nanoparticles at 1% and 3% concentration enhance the Nusselt number by an average of 10.4% and 23.7%, respectively, whereas zirconia enhances Nusselt number by 16% and 33.9% for same concentrations. On the other hand, thermal performance factor analysis shows a significant increase in pressure drop at high Reynolds number with 3% particle concentration. Using zirconia for nanofluid, Nusselt number of the bent multi-channel model is improved by an average of 18% for a 3% particle concentration as compared to bent channel with deionized water

Buspooling for Tourism

In this article we are proposing a new idea regarding last minute Buspooling for tourism purpose

A Comparison of HEED Based Clustering Algorithms - Introducing ER-HEED

A Wireless Sensor Network (WSN) is composed of distributed sensors with limited processing capabilities and energy restrictions. These unique attributes pose new challenges amongst which prolonging the WSN lifetime is one of the most important. Clustering is an energy efficient routing technique that has been widely applied to report data from the WSN nodes to a centralised Base Station. A plethora of different clustering protocols have been proposed. Some protocols are based on equal-sized clusters while others use clusters of unequal size. Some others make use of rotation techniques to reduce the amount of cluster head elections. When different clustering approaches are presented different simulation settings are used. In this paper we perform a comparison study of HEED based clustering protocols that are HEED, UHEED, RUHEED and a novel variation of R-HEED that is ER-HEED. We have considered the same network model, the same energy consumption model and we have compared the lifetime of the protocols by considering various case studies. Our comparison study shows that the selection of the protocol to be used depends on the case study and the WSN lifetime measure that is considered

Cognition in UAV-Aided 5G and Beyond Communications: A Survey

In recent years, unmanned aerial vehicles (UAVs) have attained significant interest in different applications including aerial surveillance, providing wireless coverage, precision agriculture, power lines & oil rigs monitoring and construction, etc. The UAVs implicit peculiarities e.g., swift mobility, increase in payload capabilities and airborne time, place it as a potential candidate for many applications in next-generation wireless communications. In this article, a comprehensive study on UAVs challenges, potential applications, and regulations is presented. In particular, fundamental challenges such as UAVs standardization, channel modeling, interference mitigation, collision avoidance and optimal trajectory design using deep reinforcement learning (RL) algorithms, energy harvesting techniques, security, and regulations are explored in light of most recent research development. Moreover, we propose a set of UAVs regulations to ensure its steady social integration and new business opportunities. Finally, various problems and future research directions regarding UAVs are presented

Fractional Order Stochastic Pairwise Conjugate Gradient Algorithm For Adaptive Filtering

in this paper, we propose Fractional order Stochastic Pairwise Conjugate Gradient Algorithm (FSPCGA) by introducing fractional order gradient in weight adaptation relation of Stochastic Pairwise Conjugate Gradient AAlgorithm (SPCGA) for adaptive filtering. Performance analysis of the proposed algorithm is compared with Least Mean Square (LMS) algorithm and SQCGA by appling over channel equalization problem. Convergence rate of FSPCGA is better than convergence rates SPCGA and LMS under certain conditions. FSPCGA offers best filetr weights estimation as long as fractional order of the gradient increase and hence leads to achieve global minima in stochastic setting