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The chase for sustainability has driven awesome strides in composite fibers and recycled plastics, which have made viable options available in numerous areas. Composite fibers are known for their recordbreaking strength-to-weight proportions and capacity to serve numerous functions, that’s why they’re used all over from the automotive industry to aviation. But natural fibers are hydrophilic, so they do not mix well with hydrophobic matrices they need surface adjustments and fire retardant treatments to be utilized for composites to perform at their best. On the other hand, one of plastics’ most significant benefits is their recyclability, recycling programs can do a lot to tackle widespread plastic contamination. Recycling has positive environmental effects, but still there are major challenges when it comes to plastic recycling including contamination and all the different types of plastics that require sorting out. Promising answers can be offered to these issues through better approaches to sorting and recycling plastic waste. For instance, life cycle assessments and carbon footprint research are vital for deciding how much composite fibers influence the environment in comparison with conventional materials made from recycled plastics. In this study, we can see that all through their lifecycle composite fibers have been found to discharge minimal amounts of GHGs subsequently reducing energy use to reduce pollution. Similarly, the work on recycled plastics when compared with virgin ones lowers their impacts on the environment by saving landfills from plastic waste, reducing the demand for raw materials, and high in energy production techniques. In general terms, sustainable indicators are exceptionally imperative in ensuring that we make choices based on reliable information regarding environmentally sustainable practices and industrial applications that require solid and sustainable future transformation.

Packaging helps to protect and preserves the quality of the goods available for storage and transport purposes. Many businesses have begun to look for new techniques and tactics for better design in order to sell their products, which has boosted the need for change packaging materials. This market segmentation is expected to change significantly by the end of 2018 as Asia is projected to reach for more than 40% of global demand. Many of the popular packaging were plastic materials in form of boxes, cans, bags, bottles, wrappers, envelopes and containers. Those plastic-packaging materials performs well but it becomes non-degradable waste that causes unnecessary landfills and harmful to environment. To overcome such drawbacks, the recent researches reported that the renewable and biodegradable materials have drawn much attention in the packaging domain due to their eco-friendly nature. In this research, the biodegradable composite material has introduced for packaging applications using natural fibres. The different material of natural fibres such as Aloe Vera, Jute and Coir have used as reinforcement to make composite material. The mechanical behavior of Tensile, Compression, Flexural strength and Impact for different composition have studied experimentally and conducted the SEM analysis to determine casting failures. Comparatively, the obtained results show that the Jute material behaves better than others to replace packaging material do.

In order to remove the most outrageous potential result power with high following viability in varied working situations, photovoltaic (PV) systems should operate at a largest power point (MPP). This essay examines yet another insane power point following (MPPT) method for eliminating the pinnacle electricity from the PV board or bunch in situations that are primarily concealed (PSCs). In the suggested calculation, the overall apex (GP) with a high mixing rate and high following efficiency is sought for by the estimation, which takes into account the bio-awakened Whale Upgrade (WO) with reinitialization process when the PV structure is subjected to change in hidden model. The suggested computation lowers the computational burden associated with the current MPPT estimates as stated in different compositions and lessens power stalling when operating conditions vary. The suggested method is demonstrated and replicated using MATLAB/Simulink programming in several test scenarios. The suggested procedure is carried out in a distinct and regular manner, aggravating and providing insight (PO). The following time and following capacity of the Dull Wolf Improvement (GWO) and Creamer GWO (HGWO) approaches, as well as the diversion outcome, demonstrate that the WO technique has a high following efficiency (>95%) and a short mixing time (

Abstract: Researches are keen to know astonishing and intricate details of the nature. Each creature has its own admiring abilities and performs their routine task in more efficient manner. The [...]

This paper presents a systematic approach for selecting mix proportions for fly ash and GGBSbased geopolymer concrete. Very little information is available on complete methodology in designing the fly ash and GGBS-based geopolymer mix. The fly ash and GGBS were activated using sodium silicate and sodium hydroxide as alkaline activator solution. The Na2SiO3/NaOH (alkaline activator) ratio was taken as 2.5 and the concentration of NaOH solution was maintained at 8 M. The main parameters considered in this study were binder content and alkaline solution/binder ratio for various combinations of fly ash and GGBS. The variables considered in this experimentation include: binder content (360, 420 and 450 kg/m3), proportions of fly ash and GGBS (70-30, 60-40 and 50-50), alkaline solution/binder ratios (0.45, 0.50, 0.55 and 0.60) and curing condition (outdoor curing and oven curing). Results concluded that the GGBS content, alkaline solution/binder ratio and curing condition are found to be most influential parameters on compressive strength and workability of geopolymer concrete. The paper presents detailed examples of mix designs for various strengths. [ABSTRACT FROM AUTHOR]

ABSTRACT Mycetoma is a localised, chronic, progressive and granulomatous inflammatory lesion caused by certain fungi or bacteria. It is characterized by gradually increasing painless tumour like swelling with appearance of [...]

A new nonlinear optimal and explicit guidance law is presented in this paper for launch vehicles propelled by solid motors. It can ensure very high terminal precision despite not having the exact knowledge of the thrust–time curve apriori. This was motivated from using it for a carrier launch vehicle in a hypersonic mission, which demands an extremely narrow terminal accuracy window for the launch vehicle for successful initiation of operation of the hypersonic vehicle. The proposed explicit guidance scheme, which computes the optimal guidance command online, ensures the required stringent final conditions with high precision at the injection point. A key feature of the proposed guidance law is an innovative extension of the recently developed model predictive static programming guidance withflexible final time. A penalty function approach is also followed to meet the input and output inequality constraints throughout the vehicle trajectory. In this paper, the guidance law has been successfully validated fromnonlinear six degree-of-freedom simulationstudies by designing an inner-loop autopilot as well, which enhances confidence of its usefulness significantly. In addition to excellent nominal results, the proposed guidance has been found to have good robustness for perturbed cases as well. [ABSTRACT FROM AUTHOR]

Almost 30 years of research work has brought out the first successful automated human face recognition system, called the eigenface approach, which can be classified under appearance-based methods. The representation of a face in the eigenface approach is done by applying the Principal Component Analysis (PCA) to a set of face images. PCA is a linear transformation technique that enables the eigenface approach for identifying the differences between individual face images and then analyzing these differences to recognize a face. The entire facespace is divided into individual face images called eigenfaces. These features are not exactly the facial features such as eyes, nose and ears, but they just capture the image points that provide meaningful variations between the faces of the database. Then a subspace of all these eigenfaces is constructed onto which each face image is projected and their weights are evaluated. A new face is projected onto this subspace and its weight is compared with the corresponding weights of known face images. In this paper, we propose an approach, to reduce the complexity with the help of dimensionality reduction in covariance matrix and the performance evaluation for both the databases in terms of Recognition rate, Euclidean distance measure and overall computational time. [ABSTRACT FROM AUTHOR]

The tail gut is a blind extension of the hindgut into the tail fold just distal to the cloacal membrane. Remnants of this structure may form tail gut cyst. We report a 14-year-old girl with tail gut cyst that presented as acute abdomen. The patient recovered after cyst excision.

A 60-year-old man was admitted with pain in the abdomen and vomiting for one day; radiography revealed pneumoperitoneum. Laparotomy with excision of ulcer-bearing portion of the jejunum was done. Histology revealed choriocarcinoma with syncytiotrophoblastic and cytotrophoblastic cell differentiation. Postoperatively, urine and serum showed high levels of beta-human chorionic gonadotrophins. The patient expired after an unsatisfactory postoperative course.