Fish Stupefying Plants Used by the Tribes of Nandurbar District.

The present paper deals with the identification of those plants which are used as natural toxins for capturing fishes from Nandurbar district of Maharashtra. Nandurbar district is tribal district, is rich in ethno biological diversity, its different tahasils have their own toxicant plants which can be used for capturing fishes. So this ethno biological survey was conducted in different tahasils of Nandurbar district viz Akkalkuwa, Dhadgaon, Shahada, Taloda, Nandurbar and Navapur. As fishes are the important source of protein for poor people living near the banks of rivers, they use few plants which are natural toxicants for fishes and capture the fishes. During this study, a number of toxicant plants are identified with the help of the people living near the river and dams. The general information related to vernacular name of the plant in different tahasil and plant parts used, have been identified by elders and knowledgeable people. Plants are identified taxonomically with the help of Botanist of Jijamata Education Society’s, Department of Botany For UG, PG and Research, Arts, Science and Commerce College, Nandurbar, Maharashtra. Extensive literature was also consulted for identification

Performance of Enhanced Polymeric Blend Membranes for the separation of CO2/CH4 mixtures

This study was carried out to evaluate the effect of blending glassy and rubbery polymers with amines in the separation of CO2/CH4 mixtures. The membranes were synthesized by PSU (glassy), PVAc (rubbery) with three different amines using the evaporation method. The theoretical performanceof CO2/CH4 separation was compared against the experimental data for PSU/PVAc (80/20) % wt. membrane with DEA, MDEA and MEA at 2 to 10bar pressure. The experimental results showed that by the incorporation of PVAc and alkanolamines into base PSU, the membranes showed more efficient CO2 separation. The selectivity (CO2/CH4) of PSU/PVAc (80/20) % wt. with DEA membrane was quite high, as compared to PSU/PVAc (80/20) % wt. The amine polymeric blend membrane enhanced the separation of CO2 from CH4 due to adsorption to the amine groups. However, the real selectivity for binary mixtures of CO2/CH4 was lower than the theoretical selectivity

Environmental impact of using geothermal clean energy (heating and cooling systems) in economic sustainable modern buildings architecture design in Iraq:a review

Nowadays, with all the climate change problems that we face worldwide, engineers from different specialists work together towards Sustainability and finding solutions, and investigating its environmental impact thoroughly. Architectural, Chemical, environmental, civil engineers have always been closely linked in designing and constructing buildings. Geothermal energy is a local, resilient, reliable, ecologically benign, and sustainable form of the renewable energy system. This type of natural energy could be generated from the earth’s heat and takes a variety of purposes, including building heating and cooling, electricity generation, supplying warm/cold water for agricultural products in greenhouses, as well as balneological usage. Furthermore, geothermal energy isn’t affected by weather and could provide electricity and heat nearly constantly through the year. This study intends to investigate the opportunity of using geothermal energy in Iraq under the ground represents one of the sustainable energy resources we can use it will be a significant environmental benefit in our housing in air conditioning applications. This review gives a summary of geothermal energy systems in general. Topics addressed include: an introduction to the environments and the energy, also their relationship, a geothermal energy history brief, an overview of geothermal energy systems throughout the world and also through Iraq, and an overview of geothermal systems environmental impacts as well as the environmental impact of Sustainable buildings architecture design, are just a few of the topics covered. Hence, the achieved conclusions of this review can make changes towards sustainable environmental design

YOLOv8's advancements in tuberculosis identification from chest images

Tuberculosis (TB) is a chronic and pathogenic disease that leads to life-threatening situations like death. Many people have been affected by TB owing to inaccuracy, late diagnosis, and deficiency of treatment. The early detection of TB is important to protect people from the severity of the disease and its threatening consequences. Traditionally, different manual methods have been used for TB prediction, such as chest X-rays and CT scans. Nevertheless, these approaches are identified as time-consuming and ineffective for achieving optimal results. To resolve this problem, several researchers have focused on TB prediction. Conversely, it results in a lack of accuracy, overfitting of data, and speed. For improving TB prediction, the proposed research employs the Selection Focal Fusion (SFF) block in the You Look Only Once v8 (YOLOv8, Ultralytics software company, Los Angeles, United States) object detection model with attention mechanism through the Kaggle TBX-11k dataset. The YOLOv8 is used for its ability to detect multiple objects in a single pass. However, it struggles with small objects and finds it impossible to perform fine-grained classifications. To evade this problem, the proposed research incorporates the SFF technique to improve detection performance and decrease small object missed detection rates. Correspondingly, the efficacy of the projected mechanism is calculated utilizing various performance metrics such as recall, precision, F1Score, and mean Average Precision (mAP) to estimate the performance of the proposed framework. Furthermore, the comparison of existing models reveals the efficiency of the proposed research. The present research is envisioned to contribute to the medical world and assist radiologists in identifying tuberculosis using the YOLOv8 model to obtain an optimal outcome

A NEW STRING MATCHING ALGORITHM

In this paper a new exact string-matching algorithm with sub-linear average case complexity has been presented. Unlike other sub-linear string-matching algorithms it never performs more than n text character comparisons while working on a text of length n. It requires only O(m þ s) extra pre-processing time and space, where m is the length of the pattern and s is the size of the alphabet

Review On Die Spot Welding Machine

Resistance spot welding is widely used in the fabrication of vehicle bodies andparts of their equipment. The article presents the methodology and the results of non-destructive ultrasonic testing of resistance spot welded joints of thin steel sheet with closed profile. Non-destructive test results were verified on the basis of welded joint area after destructive testing. The obtained results were used to develop an assessment technique for spot welded joints of closed profile with steel sheet, which could be used in factories employing such joints. In addition, the article makes comparison between the costs of the developed assessment technique and currently used destructivemethod.This paper addresses the mechanical properties of ferrite steel resistance spot welds during quasi-static tensile test. The mechanical properties are described in terms of peak load. It was shown that the fusion zone size is the most important. The fusion zone size can control the solidification of the grain which controlling factor of spot weld peak load. The dendritic grain and equiaxial axial grains occurred in the microstructures of the welded specimens joined at various welding currents and electrode forces. The failure mechanism of resistance spot welds during tensile test was studied with the aid of thermography. The thermography gives visible data of temperature changes on the surface of specimen. In light of the failure mechanism, the simple model is proposed to ensure pull out failuremode

COMMON FIXED POINTS FOR D-MAPS SATISFYING INTEGRAL TYPE CONDITION

Abstract. In this paper, we obtain two common fixed point theorems one for two pairs of single and set-valued mappings and another for four set-valued mappings satisfying integral type conditions. 1. Introduction an

On the number of shortest descending paths on the surface of a convex terrain

The shortest paths on the surface of a convex polyhedron can be grouped into equivalence classes according to the sequences of edges, consisting of n-triangular faces, that they cross. Mount (1990) [7] proved that the total number of such equivalence classes is Θ(n4). In this paper, we consider descending paths on the surface of a 3D terrain. A path in a terrain is called a descending path if the z-coordinate of a point p never increases, if we move p along the path from the source to the target. More precisely, a descending path from a point s to another point t is a path Π such that for every pair of points p=(x(p),y(p),z(p)) and q=(x(q),y(q),z(q)) on Π, if dist(s,p)<dist(s,q) then z(p)≥z(q). Here dist(s,p) denotes the distance of p from s along Π. We show that the number of equivalence classes of the shortest descending paths on the surface of a convex terrain is Θ(n4). We also discuss the difficulty of finding the number of equivalence classes on a convex polyhedron

Research Article

Coupled fixed point theorems in d-complete topological space

Approximation algorithms for shortest descending paths in terrains

A path from s to t on a polyhedral terrain is descending if the height of a point p never increases while we move p along the path from s to t. No efficient algorithm is known to find a shortest descending path (SDP) from s to t in a polyhedral terrain. We present two approximation algorithms that solve the SDP problem on general terrains. We also introduce a generalization of the shortest descending path problem, called the shortest gently descending path (SGDP) problem, where a path descends, but not too steeply. The additional constraint to disallow a very steep descent makes the paths more realistic in practice. We present two approximation algorithms to solve the SGDP problem on general terrains. All of our algorithms are simple, robust and easy to implement