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Wireless Sensor Networks (WSNs) are increasingly being utilized in environments where human presence is limited or dangerous. The main goal is to enhance the data processing capabilities of these components to extend the overall lifespan of the design. Researchers have explored conventional energy-saving methods to address the energy constraints of sensor nodes. However, it became clear that traditional routing methods, specifically those based on packet grouping, were inadequate. The proposed system, known as Optimized Group-Centric Data Routing (OGC-DR), introduces an efficient method of data routing by utilizing the concept of grouping nodal points. This approach enhances data routing management by differentiating between routing within a nodal group and routing between adjacent nodal groups. Group Heading Nodes (GHN) are assigned to each group of sensory nodes according to fitness criteria. The implementation of a tree-based routing structure improves data routing by creating a "meeting-zone" and strategically selecting intermediary nodes between the source and destination node. To improve data privacy, a sender and receiver engage in an asymmetric secret-key exchange at nodal points. Data is then directed to its ultimate destination via predetermined intermediary nodes and Group Heading Nodes. Simulations of the proposed method indicate several advantages, such as lower end-to-end delays, reduced energy consumption, higher active node count, and enhanced packet delivery rates. Furthermore, it improves data privacy for all communication within the sensory architecture. [ABSTRACT FROM AUTHOR]

Microwave sintering (MS) technology is used to fabricate UNS R56320 (Ti-3Al-2.5V)-xWC composite at 1200 °C. In the matrix, tungsten carbide (WC) is reinforced with various weight percentages of 0.5, 1.0, 1.5, and 2.0. A field emission scanning electron microscope is used to characterize the composites (FE-SEM). X-ray diffraction was used to analyze the composites' phase analysis (XRD). Microstructure, wear at high temperatures, and corrosion behavior are evaluated. For the composites at different temperatures of 30 °C, 50 °C, 100 °C, 150 °C, and 200 °C, the high-temperature wear is examined. The outcomes show improvements in the behaviors of corrosion and wear at high temperatures. TAFEL polarization is used to evaluate the corrosion behavior of the composites in a neutral chloride solution (3.5% NaCl). The composite material UNS R56320-2WC has a maximum wear rate of 0.49 × 10−3 mm3/m and a coefficient of friction of 0.50. A higher level of corrosion resistance than other composites is also possessed by UNS R56320-2WC composite. [ABSTRACT FROM AUTHOR]

Lung cancer detection is the process of detecting the presence of lung tumor or abnormalities in the lungs. Early diagnosis is crucial for increasing the chances of patient survival and successful treatment. When compared to X-rays, Computed Tomography (CT) images are more sensitive and are increasingly being used for the diagnosis and screening of lung tumors. They provide complete cross-sectional images of the lungs and it will even detect small lesions. AI and Machine learning (ML) approaches are most commonly employed to analyse medical images (e.g. CT scans) and detect lung cancer. This algorithm can help radiologists identify patterns indicative or subtle abnormalities of cancer. Medical diagnosis, particularly in complex diseases such as lung cancer, frequently involves ambiguity. The diagnostic system can alleviate ambiguity via cross-verifying findings from various sources by fusing multimodal features. Multimodal feature fusion using deep learning (DL) algorithm is an advanced technology that leverages the abilities of deep neural networks to combine data from three different modalities or sources for better robustness in several applications, namely natural language processing, image, and data analysis, etc. This study introduces a Multimodal Feature Fusion using an Optimal Transfer Learning Method for Lung Cancer Detection and Classification (MFFOTL-LCDC) methodology on CT images. The chief objective of the MFFOTL-LCDC methodology is to exploit the feature fusion process for the identification and classification of lung tumor. To attain this, the MFFOTL-LCDC model undergoes a multimodal feature fusion approach to derive feature vectors using 3 DL approaches such as SqueezeNet, CapsNet, and Inception v3 models. Besides, the MFFOTL-LCDC technique applies the remora optimization algorithm (ROA) for the hyperparameter choice of 3 DL models. For lung cancer recognition, the MFFOTL-LCDC algorithm exploits the deep extreme learning machine (DELM) algorithm. A series of simulations were conducted to ensure the greater lung cancer recognition outcomes of the MFFOTL-LCDC methodology. The extensive outcomes determine the improved results of the MFFOTL-LCDC technique over recent DL approaches. [ABSTRACT FROM AUTHOR]

In the present study the investigators identified the adjustive behaviours perform by teachers in their working environment because these behaviours are need based one to coping with situation and also to perform their profession in an effective way by make use of available resources in the working environment. The investigators used survey method to collect the data from teacher and used simple random sampling technique to select the samples from target population. Percentage and differential analysis were used to know the level of adjustive behaviour performed by teachers. This study reveals that the teachers performing their adjustive behaviours are found to be high and also they belong to different sex and working in different nature of school to perform same level of adjustive behaviours. [ABSTRACT FROM AUTHOR]

Recently, Titanium alloy (Ti-3Al-2.5V) reinforced with Tungsten Carbide (Ti-3Al-2.5V-2.0WC) developed using the microwave sintering process has plays a major role in mining industry. It has very good mechanical property and corrosion resistance. Due to its better strength and high melting point, it is difficult to machine in conventional machining process. Therefore, WEDM process give the solution to cut this high strength material in an effective manner. In this present work, the WEDM input variables such as Servo Voltage (SV), Pulse Time - On (PT-ON), Pulse Time - Off (PT-OFF) and Cutting Speed Percentage (CSP) are considered. L09 Orthogonal Array Matrix (OAM) is considered for experimental work. The output variables like Material Removal Rate (MRR) and Surface Roughness (SR) are considered to obtained the quality machining process. Multi objective optimization technique like Taguchi-Desirability Approach method is implemented to find the optimum input variables. The Improvement of MRR from 0.05978 g/min to 0.06420 g/min and SR from 3.812 µm to 3.452 µm are obtained using Desirability Approach. [ABSTRACT FROM AUTHOR]

Development of models of teaching is the recent innovation in teaching. An important purpose of discussing models of teaching is to assist the teacher to have a wide range of approaches for creating a proper interactive environment for learning. An intelligent use of these approaches enables the teacher to adopt him to the learning needs of the students. A number of educationist and psychologists have proposed model approach to teaching. A model of teaching consists of guidelines for designing educational activities and environments. Model of teaching is a plan that can also be utilized to shape courses of studies, to design instructional material and to guide instruction. Joyce and Weil, (1972) [19] explained Teaching of model is a pattern or plan, which can be a curriculum or courses to select instructional materials and to guide a teachers actions. Educators and psychologist have design several types of teaching models which provides suitable guidelines to the teachers for modifying the behaviour of the learners. As a matter of facts some sorts of models of teaching have been existence since times immemorial. In simple language a models of teaching may be defined as a blueprint designed in advance for providing necessary structure and direction to the teacher for realizing the stipulated objectives. After the investigator completed the determination of the steps the model was presented to the panel of experts. The panel of experts scrutinized and validated the steps of the model and gave their opinion about the fitness of the model for application. They further commented to conduct a pilot study with the application of the model from the pilot try out of the model it was found to be effective for application in classroom teaching. [ABSTRACT FROM AUTHOR]

Smart City Healthcare (SHC²) system is applied in monitoring the patient at home while it is also expected to react to their needs in a timely manner. The system also concedes the freedom of a patient. IoT is a part of this system and it helps in providing care to the patients. IoTbased healthcare devices are trustworthy since it almost certainly recognizes the potential intensifications at very early stage and alerts the patients and medical experts to such an extent that they are provided with immediate care. Existing methodologies exhibit few shortcomings in terms of computational complexity, cost and data security. Hence, the current research article examines SHC² security through Light Weight Cipher (LWC) with Optimal S-Box model in PRESENT cipher. This procedure aims at changing the sub bytes in which a single function is connected with several bytes’ information to upgrade the security level through Swam optimization. The key contribution of this research article is the development of a secure healthcare model for smart city using SHC² security via LWC and Optimal S-Box models. The study used a nonlinear layer and single 4-bit S box for round configuration after verifying SHC² information, constrained by Mutual Authentication (MA). The security challenges, in healthcare information systems, emphasize the need for a methodology that immovably concretes the establishments. The methodology should act practically, be an effective healthcare framework that depends on solidarity and adapts to the developing threats. Healthcare service providers integrated the IoT applications and medical services to offer individuals, a seamless technology-supported healthcare service. The proposed SHC2 was implemented to demonstrate its security levels in terms of time and access policies. The model was tested under different parameters such as encryption time, decryption time, access time and response time in minimum range. Then, the level of the model and throughput were analyzed by maximum value i.e., 50 Mbps/sec and 95.56% for PRESENT-Authorization cipher to achieve smart city security. The proposed model achieved better results than the existing methodologies. [ABSTRACT FROM AUTHOR]

An experiment was conducted to assess the effect of dietary supplementation of ghee residue on growth performance of Japanese quails. Ghee residue (GR) was included in the diet at 0 (T1), 5 (T2), 10 (T3) and 15 (T4) percent levels and fed to 500 Japanese quails, randomly divided into four treatment groups with five replicates each with twenty birds. The experimental diet was isocaloric and isonitrogenous. The estimated TME, CP and EE of GR were 4800kcal/kg, 24.46% and 40.78%, respectively. The highest body weight (213.55g) with best FE (2.62) was observed at 5% GR fed group (T2). Feed consumption and mortality did not differ significantly among various treatments. Slaughter yield was highest at 5% GR fed group. However, the body weight, FE and carcass yield at 5 and 10% GR fed groups remained statistically similar to that of control. Organoleptic study revealed that the meat of 10% GR fed group (T3) was more acceptable compared to others. Breast muscle cholesterol level was highest in GR fed groups (T2 to T4) compared to control (T1). GR Supplementation at all levels resulted in reduction of feed cost with highest reduction at 15% level (Rs.1.46/kg) but reduction in performance was observed at the same level. It was concluded that ghee residue could be included in the broiler quail diet as an energy, protein and fat source up to 10% level. [ABSTRACT FROM AUTHOR]

In this work, the brush electro deposition technique was employed for the first time to deposit CuGaTe2(CGT) films at different substrate temperature with a deposition time was 20 min. X-ray diffraction diagram of CGT films formed at different substrate temperature were polycrystalline chalcopyrite structure. Composition of the films was determined by the EDAX attachment of the SEM. From the Atomic force microscopy images, shows that the band gap was found to slightly increase with decrease of substrate temperature, due to the small grain size. Photo electrochemical cell studies indicated the conversion efficiency of 10.82% after photoetching. [ABSTRACT FROM AUTHOR]

Diabetes mellitus is a clinical condition described by hyperglycemia in which a raised measure of glucose circulates in the blood plasma. α-amylase and α-glucosidase are key enzymes involved in carbohydrates breakdown and intestinal absorption, respectively. The present study expects to screen α-amylase and α-glucosidase inhibitors from ethanolic concentrates of leaves and roots of Clerodendrum inerme Gaertn at different concentrations with a specific end goal to minimize the side effects and toxicity of the inhibitors like Acarbose. Restraint of these enzymes proteins prevents blood glucose level increment after a carbohydrate diet carbohydrate diet and can be a critical technique in the administration of non-insulin-dependent diabetes mellitus [NIDDM]. The IC50 value of ethanolic leaf extract required to inhibit α-amylase and α-glucosidase was found to be 65.64 and 54.00 μg/mL respectively. The IC50 value of ethanolic root extract required to inhibit α-amylase and α-glucosidase was found to be 76.98 and 46.70 μg/mL respectively. The results of the work therefore clearly indicate the potential of these extracts to manage hyperglycemia. [ABSTRACT FROM AUTHOR]

This quasi-experimental study attempted to investigate which mode of language games, paper-based or computer-based, can better expand the English vocabulary size of Fonn Four students especially at the 2000 word-level. Seventy students were involved in this study i.e. thirty-five in each group. The study was conducted in three stages. First, the participants sat for the Productive Vocabulary Levels Test (PVLT) as a pre-treatment measurement. Then the Experimental Group 1 played the computer-based games and the Experimental Group 2 played the paper-based games for seven weeks before sitting for the first post-treatment parallel PVLT. After that, both groups switched treatments before they were assessed again using the second parallel PVLT. The statistical analysis of the pre- and post-treatment test scores were done using the t-test. The results show a significant gain for both modes of games, but the computer-based games had a higher mean gain. The study provides evidence that the computer-based games had better influence on students' vocabulary enhancement than the paper-based games. [ABSTRACT FROM AUTHOR]

Copper indium telluride (CIT) films were deposited for the first time by the brush plating technique at different substrate temperatures in the range of 30-80 °C and at a constant deposition current density of 1 mA cm.The Films exhibited single phase CIT. The grain size increased with increase of substrate temperature. Optical band gap of the films varied in the range of 0.98-1.00 eV. Atomic force microscopy studies indicated that the grain size and surface roughness vary from 20 to 50 nm and 1.0 to 1.5 nm, respectively with increase of substrate temperature. The films exhibited photoconductivity. [ABSTRACT FROM AUTHOR]

A series of air stable low spin Ru(III) complexes, [RuX2(EPh3)(L)] (where X = Cl or Br; E = P or As; L = monobasic tridentate Schiff-base ligand), have been synthesized by reacting [RuCl3(PPh3)3], [RuCl3(AsPh3)3], and [RuBr3(PPh3)3] with the Schiff base in 1 : 1 molar ratio in benzene. These complexes have been characterized by elemental analysis, FT-IR, UV-Vis, and EPR spectroscopy together with magnetic susceptibility. The redox behaviors of the complexes have been investigated by cyclic voltammetric technique. Catalytic efficiency of the ruthenium complexes was determined for aryl-aryl coupling and the oxidation of primary and secondary alcohols into their corresponding aldehydes and ketones in the presence of molecular oxygen as co-oxidant. All complexes were screened for antibacterial activity. [ABSTRACT FROM AUTHOR]