Improving agricultural spraying with multi-rotor drones: a technical study on operational parameter optimization.

Drones play a key role in enhancing nutrient management efficiency under climate change scenarios by enabling precise and adaptable spray applications. Current aerial spray application research is primarily focused on examining the influence of drone spraying parameters flight height, travel speed, rotor configuration, droplet size, payload, spray pressure, spray discharge and wind velocity on spray droplet deposition characteristics. The present study aimed to study and optimize the effect of spray height, operating pressure, nozzle spacing and spray nozzle mounting configuration on spray discharge rate, spray width, spray distribution pattern, spray uniformity and spray liquid loss.

Harnessing Biocontrol Potential of Streptomyces rochei Against Pythium aphanidermatum: Efficacy and Mechanisms.

Tomato (Solanum lycopersicum) and chilli (Capsicum annuum) are globally significant vegetable crops susceptible to damping-off disease caused by Pythium aphanidermatum, leading to substantial yield losses. The study aimed to document the biocontrol and plant growth promotion potential of Streptomyces rochei against damping-off disease in tomato and chilli. The actinobacterial isolates ACS18 followed by ACT30, and AOE12 were accomplished as the most effective antagonists against P.

Triglyceride-Fasting Glucose Index and Homeostatic Model Assessment for Insulin Resistance as Predictors of Type 2 Diabetes Mellitus in South Indians With Normal Body Mass Index.

 Early detection of type 2 diabetes mellitus (T2DM) is imperative to prevent the complications associated with the disease. Current guidelines for diagnosis rely on the assessment of serum glucose (fasting and post-prandial) and glycosylated hemoglobin (HbA1c) levels. Insulin resistance, a phenomenon associated with T2DM, has been observed before the changes in these metrics.

Optimized multi-head self-attention and gated-dilated convolutional neural network for quantum key distribution and error rate reduction.

Quantum key distribution (QKD) is a secure communication method that enables two parties to securely exchange a secret key. The secure key rate is a crucial metric for assessing the efficiency and practical viability of a QKD system. There are several approaches that are utilized in practice to calculate the secure key rate.

Effectiveness of brainwave entrainment on pre-operative fear and anxiety in pediatric dental patients: a randomized controlled trial.

Purpose: The study aims to evaluate the effectiveness of brainwave entrainment on pre-operative fear and anxiety in pediatric dental patients.

Methods: The study protocol received approval from the Institutional Ethical Committee under reference number 3010/IEC/2021. Pediatric patients (252) aged from 7 to 12 years, who reported to the dental department were randomized pre-operatively and presented either with brainwave entrainment (experimental), delivered using a "David delight plus device" or a standard behavior management protocol (control).

Evaluating the Accuracy of AI-Based Software vs Human Interpretation in the Diagnosis of Dental Caries Using Intraoral Radiographs: An RCT.

Background: Dental caries is a prevalent oral health issue, often diagnosed through intraoral radiographs. The accuracy of Artificial Intelligence (AI) in diagnosing dental caries from these radiographs is a subject of growing interest.

Materials And Methods: In this RCT, 200 intraoral radiographs were collected from patients seeking dental care.

Evaluation of heavy metal removal and antibiofilm efficiency of biologically synthesized chitosan- silver Nano-bio composite by a soil actinobacterium Glutamicibacter uratoxydans VRAK 24.

Biological synthesis of nanoparticles is cost-effective as well as safer than physical and chemical methods. This study focuses on the biological synthesis of silver nanoparticles using Glutamicibacter uratoxydans which remains still unexplored. The synthesized silver nanoparticles are encapsulated with chitosan to prepare nanobiocomposite.

Phytochemical characterization, antioxidant and antibacterial activities of crude extracts of and .

The aim of this study was to determine the phytochemical profile, antibacterial and antioxidant activities of crude aqueous leaf extracts of and . The predominant components present in these crude extracts of test plants identified using gas chromatography-mass spectrometry (GC-MS) analysis in both plant extracts were phytochemicals including flavonoids, tannins, terpenoids, and phenols. The antibacterial activity of crude extracts of these plants against bacterial pathogens including sp.

Antimicrobial, antioxidant, anticancer, and antithrombotic, competency of saponins from the root of Decalepis hamiltonii.

The goal of this study was to extract saponins from the tuberous root of Decalepis hamiltonii and assess their potential clinical applications, which included antioxidant, antibacterial, antithrombotic, and anticancer properties. Surprisingly, the results of this study revealed that the extracted saponins have excellent antioxidant activities, as demonstrated by 2,2-diphenylpicrylhydrazyl (DPPH), 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), Hydrogen peroxide (HO), and Nitric oxide (NO) scavenging assays. Nonetheless, at a concentration of 100 g/mL, crude saponin had excellent antibacterial activity, particularly against gramme positive bacteria (Staphylococcus aureus, Bacillus subtilis, Staphylococcus epidermidis, and Micrococcus luteus), followed by gramme negative bacteria (Escherichia coli, Salmonella typhi, Proteus mirabilis, and Klebsiella pneumonia).

Potential of Rejected Sago Starch as a Coating Material for Urea Encapsulation.

Increases in food production to meet global food requirements lead to an increase in the demand for nitrogen (N) fertilizers, especially urea, for soil productivity, crop yield, and food security improvement. To achieve a high yield of food crops, the excessive use of urea has resulted in low urea-N use efficiency and environmental pollution. One promising alternative to increase urea-N use efficiency, improve soil N availability, and lessen the potential environmental effects of the excessive use of urea is to encapsulate urea granules with appropriate coating materials to synchronize the N release with crop assimilation.

Analysis of Impact of Bioimpedance on Performance of Implant coil of Artificial Retina for Optimizing Q factor & Bandwidth.

Spiral coils are indispensable part of implantable electronics for facilitating wireless power and data transfer. Although many advanced high Q receiver design have emerged, implementing and retaining high Q in biological medium so as to improve link efficiency is challenging. This article bridges the gap between advanced techniques towards improving link efficiency and the tissue losses that deteriorates the Q factor of coil in heterogeneous tissue medium.

Ant Colony Optimization-Enabled CNN Deep Learning Technique for Accurate Detection of Cervical Cancer.

Cancer is characterized by abnormal cell growth and proliferation, which are both diagnostic indicators of the disease. When cancerous cells enter one organ, there is a risk that they may spread to adjacent tissues and eventually to other organs. Cancer of the cervix of the uterus often initially manifests itself in the uterine cervix, which is located at the very bottom of the uterus.

Synthesis, Characterization, Cytotoxicity Analysis and Evaluation of Novel Heterocyclic Derivatives of Benzamidine against Periodontal Disease Triggering Bacteria.

Periodontal disease (PD) is multifactorial oral disease that damages tooth-supporting tissue. PD treatment includes proper oral hygiene, deep cleaning, antibiotics therapy, and surgery. Despite the availability of basic treatments, some of these are rendered undesirable in PD treatment due to side effects and expense.

Nurses' Perception and Satisfaction Toward Electronic Medical Record System.

Aim: This study aims to assess the perception and satisfaction of nurses toward the electronic medical record system in a teaching hospital.

Method: A cross-sectional study was conducted among 350 nurses in a teaching hospital via a self-administered questionnaire between May to October 2019. Descriptive analysis, independent t-test, analysis of variance, and hierarchical multiple regression were used to analyze the data using Statistical Package for Social Sciences software version 25.

Cytotoxic and genotoxic properties of silver nanoparticles synthesized by ethanolic extract of Salacia chinensis.

In this study, in vitro and in vivo methods were used to evaluate the cytotoxicity and genotoxicity properties of silver nanoparticles (Ag-NPs) made from a crude ethanolic extract of Salacia chinensis. The test Ag-NPs had no cytotoxicity on the fibroblast cell line at a concentration of 100 μg/mL, according to the MTT assay results. The Chinese hamster ovary (CHO) cell line treated with varied concentrations of test Ag-NPs, with a maximum concentration of 200 μg/mL, did not exhibit any appreciable genotoxic activity, either by comparing the results with positive controls of genotoxicity caused by Methyl methane sulfonate and Benzo (a) pyrene at the concentration of 20 μg/mL, the lack of genotoxicity was established.

Characterization of chaetoglobosin producing Chaetomium globosum for the management of Fusarium-Meloidogyne wilt complex in tomato.

Aim: Simultaneous management of FOL and RKN causing wilt complex in tomato by chaetoglobosin-producing Chaetomium globosum.

Methods And Results: Random survey was carried out to isolate Fusarium and Chaetomium. Twelve Fusarium isolates were characterized, and FOL4 (virulent) was molecularly identified.

Comparative evaluation of shear bond strength of calcium silicate-based liners to resin-modified glass ionomer cement in resin composite restorations - a systematic review and meta-analysis.

Purpose The aim of this systematic review was to evaluate the difference in shear bond strength between calcium silicate-based liners to resin-modified glass ionomer cement (RMGIC) in resin composite restorations.Materials and methods The protocol was registered in PROSPERO following which primary research was carried out on Medline, Scopus and Cochrane library. To assess the risk of bias, a customised tool was used.

Comparison of the sealing ability of bioceramic sealer against epoxy resin based sealer: A systematic review & meta-analysis.

Objective: This systematic review and meta-analysis aimed to evaluate if bioceramic sealers had superior sealing properties to epoxy resin-based sealers.

Methodology: A systematic search was performed in the following databases: MEDLINE Ovid (from 1946 onwards), Scopus, Google Scholar, EBSCO, and a hand search of references of included articles was also done. In vitro and ex vivo studies were included.

Application of Salvinia sps. in remediation of reactive mixed azo dyes and Cr (VI) - Its pathway elucidation.

The emerging industrialization has resulted in the rapid growth of textile industries across the globe. The presence of xenobiotic pollutants in textile wastewater threatens the ecosystem. Applying different microbes (bacteria, fungi & algae) has paved the way for phytoremediation - the eco-friendly, cost-effective method.

Improved Harris Hawks Optimization with Hybrid Deep Learning Based Heating and Cooling Load Prediction on residential buildings.

In digital era, energy efficient building remains a hot research topic because of increasing concern regarding their environmental impact and energy consumption. Designing a suitable energy efficient building based on their layout namely overall areas, distribution of the glazing areas, orientation, height, and relative compactness. Such components directly impact the heating load (HL) and cooling load (CL) of residential buildings.

Mixed polyaromatic hydrocarbon degradation by halotolerant bacterial strains from marine environment and its metabolic pathway.

Accidents involving diesel oil spills are prevalent in sea- and coastal regions. Polycyclic aromatic hydrocarbons (PAHs) can be adsorbed in soil and constitute a persistent contaminant due to their poor water solubility and complex breakdown. PAHs pollution is a pervasive environmental concern that poses serious risks to human life and ecosystems.

Prevalence and severity of coronal and radicular caries among patients with type 2 diabetes mellitus: A cross sectional study.

Background: Studies among type 2 diabetes mellitus patients have reported total caries experience; however the severity and clinical consequences of untreated dental caries are often ignored.

Methods: For this study, 150 well (I) and poorly controlled (II) diabetic participants were recruited. The spectrum of caries was evaluated using DMFT (Decayed, Missing and Filled Tooth) index, Dental Caries Severity Classification Scale, PUFA (Pulpal involvement, Ulceration, Fistula and Abscess) index, RCI (Root Caries Index) and the severity of radicular caries by Root Surface Caries Severity Index.

Optimal Cellular Microscopic Pattern Recognizer- (OCMPR-) Based Wireless Detection Network for Efficiently Leveraging the Parallel Distributed Processing Capabilities.

Recognizing patterns associated with particular events enables the detection of specific critical changes in the events. Due to the resource constraints inherent in WSNs, pattern recognition is highly dependent on the complexity of the computation, the number of iterations, and the requirements for node training. Iterative learning is frequently used in computer-based computer vision.

Deep Learning-Based Privacy-Preserving Data Transmission Scheme for Clustered IIoT Environment.

The Industrial Internet of Things (IIoT) has received significant attention from several leading industries like agriculture, mining, transport, energy, and healthcare. IIoT acts as a vital part of Industry 4.0 that mainly employs machine learning (ML) to investigate the interconnection and massive quantity of the IIoT data.

Effectiveness of Family-Focused Nurse-led Intervention on Functional Improvement of Patients with Bipolar Disorder at a Tertiary Hospital in South India: A Randomized Controlled Trial.

Background: Bipolar affective disorder (BPAD) is a chronic, episodic illness that can create problems and disruptions in the social, occupational, and family functioning of a client. Families are frequently most affected by their bipolar member and have a sense of helplessness to fix bipolar symptoms. The current study aimed to assess the effectiveness of Family-focused Nursing Interventions (FFNI) on functional improvement in the sample of symptomatic bipolar affective disorder clients.