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Table Of Integrals Series And Products

Plant biomass are woody and non-wood materials (e.g., oil palm, bamboo, rattan, bagasse, and kenaf) and are abundant and renewable resource. Unfortunately, the heavy reliance on this resource is a threat to forest ecosystems and a recipe for accelerated land resource degradation. Due to the increasing scarcity of wood resources, many rural communities have shifted to utilization of crop residues for many different applications. The non-wood biomass is readily available, environmental friendly, and technologically suitable, and therefore, an excellent raw material for the future. The non-wood materials like bamboo, rattan, oil palm, and bagasse have superior properties and durability, which can be further prolonged by the modifi cation treatment. The modifi cation treatments increase the performance of the non-wood and could make it suitable for applications in many fi elds ranging from construction industry to automotive industry. This chapter deals with the properties improvement techniques of the selected non-wood biomasses and evaluates its applications for various purposes. The new developments dealing with the improvement of non-wood properties have also been presented in the chapter. The performance of non-wood biomass materials has been compared to the wood-based materials. Recent studies pertaining to the above topics have also been cited. Finally, the advanced applications of the improved non-wood biomasses have been highlighted.

Biomass and bioenergy

HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments

Chitosan is a product of the deacetylation of chitin, which is widely found in nature. Chitosan is insoluble in water and most organic solvents, which seriously limits both its application scope and applicable fields. However, chitosan contains active functional groups that are liable to chemical reactions; thus, chitosan derivatives can be obtained through the chemical modification of chitosan. The modification of chitosan has been an important aspect of chitosan research, showing a better solubility, pH-sensitive targeting, an increased number of delivery systems, etc. This review summarizes the modification of chitosan by acylation, carboxylation, alkylation, and quaternization in order to improve the water solubility, pH sensitivity, and the targeting of chitosan derivatives. The applications of chitosan derivatives in the antibacterial, sustained slowly release, targeting, and delivery system fields are also described. Chitosan derivatives will have a large impact and show potential in biomedicine for the development of drugs in future.

https://www.mdpi.com/1422-0067/21/2/487/pdf

Chitosan Derivatives and Their Application in Biomedicine.

an introduction to electrospinning and nanofibers is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the an introduction to electrospinning and nanofibers is universally compatible with any devices to read.

An Introduction To Electrospinning And Nanofibers

In this paper, a hybrid 1-bit full adder design employing both complementary metal–oxide–semiconductor (CMOS) logic and transmission gate logic is reported. The design was first implemented for 1 bit and then extended for 32 bit also. The circuit was implemented using Cadence Virtuoso tools in 180-and 90-nm technology. Performance parameters such as power, delay, and layout area were compared with the existing designs such as complementary pass-transistor logic, transmission gate adder, transmission function adder, hybrid pass-logic with static CMOS output drive full adder, and so on. For 1.8-V supply at 180-nm technology, the average power consumption (4.1563 $\mu $ W) was found to be extremely low with moderately low delay (224 ps) resulting from the deliberate incorporation of very weak CMOS inverters coupled with strong transmission gates. Corresponding values of the same were 1.17664 $\mu $ W and 91.3 ps at 90-nm technology operating at 1.2-V supply voltage. The design was further extended for implementing 32-bit full adder also, and was found to be working efficiently with only 5.578-ns (2.45-ns) delay and 112.79- $\mu $ W (53.36- $\mu $ W) power at 180-nm (90-nm) technology for 1.8-V (1.2-V) supply voltage. In comparison with the existing full adder designs, the present implementation was found to offer significant improvement in terms of power and speed.

Performance Analysis of a Low-Power High-Speed Hybrid 1-bit Full Adder Circuit

To maximize network lifetime in Wireless Sensor Networks (WSNs) the paths for data transfer are selected in such a way that the total energy consumed along the path is minimized To support high scalability and better data aggregation, sensor nodes are often grouped into disjoint, non overlapping subsets called clusters Clusters create hierarchical WSNs which incorporate efficient utilization of limited resources of sensor nodes and thus extends network lifetime The objective of this paper is to present a state of the art survey on clustering algorithms reported in the literature of WSNs Our paper presents a taxonomy of energy efficient clustering algorithms in WSNs And also present timeline and description of LEACH and Its descendant in WSNs

/pdf/energy-efficient-clustering-algorithms-in-wireless-sensor-230w4s7a40.pdf

Energy Efficient Clustering Algorithms in Wireless Sensor Networks: A Survey

With a wide scope to explore and harness the oceanic sources of interest, the field of underwater wireless sensor networks (UWSNs) is attracting a growing interest of researchers. Owing to the real-time remote data monitoring requirements, underwater acoustic sensor networks (UASNs) emerged as a preferred network to a great extent. In UASN, the limited availability and non-rechargeability of energy resources along with the relative inaccessibility of deployed sensor nodes for energy replenishments necessitated the evolution of several energy optimization techniques. Clustering is one such technique that increases system scalability and reduces energy consumption. Besides clustering, coverage and connectivity are two significant properties that decide the proper detection and communication of events of interest in UWSN due to unstable underwater environment. Underwater communication is also possible with non-acoustic communication techniques like radio frequency, magnetic induction, and underwater free-space optics. In this paper, we surveyed clustering, coverage, and connectivity issues of UASN and qualitatively compared their performance. Particularly, the impact of these non-conventional communication techniques on clustering, coverage, and connectivity aspects is demonstrated. Additionally, we highlighted some key open issues related to the UWSN. This paper provides a broad view of existing algorithms of clustering, coverage, and connectivity based on acoustic communication. It also provides a useful guidance to the researchers in UWSN from various other communication techniques’ perspective.

Vinay Kumar

Papers

Performance Analysis of a Low-Power High-Speed Hybrid 1-bit Full Adder Circuit

Energy Efficient Clustering Algorithms in Wireless Sensor Networks: A Survey

Review on Clustering, Coverage and Connectivity in Underwater Wireless Sensor Networks: A Communication Techniques Perspective

pH-responsive prodrug nanoparticles based on xylan-curcumin conjugate for the efficient delivery of curcumin in cancer therapy.

Redox responsive xylan-SS-curcumin prodrug nanoparticles for dual drug delivery in cancer therapy