Transseptal Guidewire Stabilization to Facilitate Endograft Delivery During Thoracic Endovascular Aortic Repair of a Giant Tortuous Thoracic Aortic Aneurysm.

Objective: To describe transseptal guidewire stabilization to facilitate endograft delivery into the aortic arch during thoracic endovascular aortic repair (TEVAR) when aortic tortuosity impedes delivery system advancement.

Key Steps: The key steps to the procedure are as follows: the physician modifies the arch endograft, the patient is given general anesthesia, ultrasonography-guided percutaneous access is obtained, septal puncture is performed, a Mullins-type sheath is advanced into the ascending aorta over the balloon-tipped catheter, a coaxial hydrophilic guidewire is exteriorized from the right femoral artery, a transseptal snare traps the Lunderquist guidewire entering the transseptal sheath from the aorta, traction is applied, the endograft delivery system is advanced into position, and thoracic endovascular aortic repair is subsequently completed as usual.

Potential Pitfalls: Injury to the mitral valve and atrial septum can be limited by keeping the transseptal sheath advanced well beyond the mitral valve when traction is applied.

An efficient binary salp swarm algorithm for user selection in multiuser MIMO antenna systems.

The past ten years have seen notable research activity and significant advancements in multiuser multiple-input multiple-output (MU-MIMO) antennas. An MU-MIMO antenna system must accommodate many subscribers without additional bandwidth or energy. User scheduling becomes a critical strategy to take advantage of multiuser heterogeneity and acquire maximum gain in systems where the total number of recipients exceeds the number of transmitting antennas.

Femoral Neck Osteoporosis Is Associated with a Higher Odds of Coronary Artery Disease in Indian Postmenopausal Women: A Cross-sectional Study from a Teaching Hospital in Southern India.

Epidemiological studies have shown an association between coronary artery disease (CAD) and osteoporosis. We studied the prevalence of CAD among postmenopausal women with osteoporosis. Factors that were significantly associated with CAD were also assessed.

Entrepreneurial education and its role in fostering sustainable communities.

Establishing sustainable communities requires bridging the gap between academic knowledge and societal requirements; this is where entrepreneurial education comes in. The first phase involved a comprehensive review of the literature and extensive consultation with experts to identify and shortlist the components of entrepreneurship education that support sustainable communities. The second phase involved Total Interpretative Structural Modelling to explore or ascertain how the elements interacted between sustainable communities and entrepreneurial education.

An Energy-Efficient and Blockchain-Integrated Software Defined Network for the Industrial Internet of Things.

The number of unsecured and portable Internet of Things (IoT) devices in the smart industry is growing exponentially. A diversity of centralized and distributed platforms have been implemented to defend against security attacks; however, these platforms are insecure because of their low storage capacities, high power utilization, single node failure, underutilized resources, and high end-to-end delay. Blockchain and Software-Defined Networking (SDN) are growing technologies to create a secure system and to ensure safe network connectivity.

Sustainable Smart Industry: A Secure and Energy Efficient Consensus Mechanism for Artificial Intelligence Enabled Industrial Internet of Things.

In recent years, the Internet of Things (IoT) has been industrializing in various real-world applications, including smart industry and smart grids, to make human existence more reliable. An overwhelming volume of sensing data is produced from numerous sensor devices as the Industrial IoT (IIoT) becomes more industrialized. Artificial Intelligence (AI) plays a vital part in big data analyses as a powerful analytic tool that provides flexible and reliable information insights in real-time.

Artificial Bee Colony Reinforced Extended Kalman Filter Localization Algorithm in Internet of Things with Big Data Blending Technique for Finding the Accurate Position of Reference Nodes.

In recent years, the growth of internet of things (IoT) is immense, and the observations of their evolution need to be carried out effectively. The development of the IoT has been broadly adopted in the construction of intelligent environments. There are various challenging IoT issues such as routing messages, addressing, Localizing nodes, data blending, etc.

A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users.

Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness.