Trends of Soil and Solution Nutrient Sensing for Open Field and Hydroponic Cultivation in Facilitated Smart Agriculture.

Efficient management of soil nutrients is essential for optimizing crop production, ensuring sustainable agricultural practices, and addressing the challenges posed by population growth and environmental degradation. Smart agriculture, using advanced technologies, plays an important role in achieving these goals by enabling real-time monitoring and precision management of nutrients. In open-field soil cultivation, spatial variability in soil properties demands site-specific nutrient management and integration with variable-rate technology (VRT) to optimize fertilizer application, reduce nutrient losses, and enhance crop yields.

Abnormal Operation Detection of Automated Orchard Irrigation System Actuators by Power Consumption Level.

Information and communication technology (ICT) components, especially actuators in automated irrigation systems, are essential for managing precise irrigation and optimal soil moisture, enhancing orchard growth and yield. However, actuator malfunctions can lead to inefficient irrigation, resulting in water imbalances that impact crop health and reduce productivity. The objective of this study was to develop a signal processing technique to detect potential malfunctions based on the power consumption level and operating status of actuators for an automated orchard irrigation system.

Perceived stress in end-of-life care: a qualitative study of Iranian nurses' experiences.

Background: Nurses experience high levels of stress while providing end-of-life care, which puts them under emotional pressure, stress and conflict. Therefore, this study aimed to explain the experiences of nurses during the provision of end-of-life care in Iran.

Methods: A qualitative descriptive study conducted using a conventional content analysis approach in Gorgan in 2023.

Geometric Feature Characterization of Apple Trees from 3D LiDAR Point Cloud Data.

The geometric feature characterization of fruit trees plays a role in effective management in orchards. LiDAR (light detection and ranging) technology for object detection enables the rapid and precise evaluation of geometric features. This study aimed to quantify the height, canopy volume, tree spacing, and row spacing in an apple orchard using a three-dimensional (3D) LiDAR sensor.

Health risk assessment of ciprofloxacin, tetracycline, and oxytetracycline residues in raw, frozen, and boiled broiler chicken available in a local area of Bangladesh.

Introduction: The misuse of antibiotics in poultry farming is a global issue.

Objective: The focus of this study was the health risk assessment of consumers from the determination of ciprofloxacin (CIP), tetracycline (TC), and oxytetracycline (OTC) in broiler chicken in the raw, frozen, and boiled stages using solid-phase extraction, high-performance liquid chromatography, and ultraviolet detection (SPE-HPLC-UV).

Materials And Methods: Chromatographic separation was achieved using 0.

Designing siRNA for silencing the human ERBB2 gene in cancer treatment: Evaluating intracellular delivery strategies.

The ERBB2 is one of the most studied genes in oncology for its significant role in human malignancies. The metastasis-associated properties that facilitate cancer metastasis can be enhanced by activating the ERBB2 receptor signaling pathways. Additionally, therapeutic resistance is conferred by ERBB2 overexpression via receptor-mediated antiapoptotic signals.

An empirical study on logistic service quality, customer satisfaction, and cross-border repurchase intention.

Domestic e-retailers acknowledge logistics service quality (LSQ) as a critical success factor in business excellence. However, exponential growth in cross-border e-commerce (CBEC) requires a re-evaluation of the relationship between LSQ and consumers repurchase intention. By integrating the technology acceptance model, this study investigates the impact of LSQ on repurchase intention based on the LSQ (experience)-satisfaction-repurchase intention consequence chain.

Iodine Activation from Iodate Reduction in Aqueous Films via Photocatalyzed and Dark Reactions.

Iodine in the atmosphere destroys ozone and can nucleate particles by formation of iodic acid, HIO. Recent field observations suggest iodate recycles from particles sustaining significant gas-phase IO radical concentrations (0.06 pptv) in aged stratospheric air, and in elevated dust plumes.

Investigation of adsorption parameters of saxitoxin onto loblolly pine-derived biochar synthesized at various pyrolysis temperature.

This study highlights the use of loblolly pine derived biochar for the removal of harmful algal bloom toxin, Saxitoxin (STX), from water. Biochar samples were prepared at varying pyrolysis temperatures (400, 600 and 800 °C) for 60 min. As pyrolysis temperature increases, enhancement in surface porosity was observed (S = 7.

Spiral cardiac quantitative susceptibility mapping for differential cardiac chamber oxygenation-Initial validation in relation to invasive blood sampling.

Purpose: To develop a breath-hold cardiac quantitative susceptibility mapping (QSM) sequence for noninvasive measurement of differential cardiac chamber blood oxygen saturation (ΔSO).

Methods: A non-gated three-dimensional stack-of-spirals QSM sequence was implemented to continuously sample the data throughout the cardiac cycle. Measurements of ΔSO between the right and left heart chamber obtained by the proposed sequence and a previously validated navigator Cartesian QSM sequence were compared in three cohorts consisting of healthy volunteers, coronavirus disease 2019 survivors, and patients with pulmonary hypertension.

New particle formation from isoprene under upper-tropospheric conditions.

Aircraft observations have revealed ubiquitous new particle formation in the tropical upper troposphere over the Amazon and the Atlantic and Pacific oceans. Although the vapours involved remain unknown, recent satellite observations have revealed surprisingly high night-time isoprene mixing ratios of up to 1 part per billion by volume (ppbv) in the tropical upper troposphere. Here, in experiments performed with the CERN CLOUD (Cosmics Leaving Outdoor Droplets) chamber, we report new particle formation initiated by the reaction of hydroxyl radicals with isoprene at upper-tropospheric temperatures of -30 °C and -50 °C.

Green synthesis of zinc nanoparticles by hydroalcoholic extract of lavender (Lavandula stoechas L.), characterization, and cytotoxic effects on human breast and colon cancer.

Green synthesis is the production of metal nanoparticles (MNPs) with biological agents, including plant extracts; it is environmentally friendly. The study aimed to investigate the cytotoxic effects of zinc nanoparticles (ZnNPs) synthesized by the hydroalcoholic extract of lavender (Lavandula stoechas L.) against MCF7 and HT29 with the approach of identifying the ability of these NPs to produce anticancer drugs.

Isolation, characterization, and analysis of pure compounds from leaf extract for antibacterial, antidiabetic, cytotoxicity and phytotoxicity.

This research aims to isolate, characterize, and analyze pure compounds from leaf extract to investigate its antibacterial, antidiabetic, cytotoxic, and phytotoxic effects. Fresh leaves were collected, dried, and subjected to methanol extraction to obtain a crude extract. From the petroleum ether fraction (PEF) of this extract, three fractions-designated LM1, LM2, and LM3-were prepared using column chromatography.

Evaluation of design and device parameters for lead-free SrPBr/SrNCl duel-layer perovskite photovoltaic device technology.

The study looks into how SrPBr and SrNCl double perovskite materials can be used as absorbers in perovskite solar cells (PSCs). Computational SrPBr and SrNCl simulations were employed to assess the performance of each absorber together with electron transport layers (ETL), with a particular emphasis on optimizing ETL thickness to improve charge transport and synchronize current outputs. The simulations yielded valuable insights into the electronic and optical characteristics of the individual absorbers.

Heavy metals in commonly consumed rice grains in Bangladesh and associated probabilistic human health risks.

Food contamination by heavy metals is a concerning issue worldwide. The presence of elevated levels of heavy metals in commonly consumed rice has emerged as a critical issue in ensuring food safety. This research encompassed the collection of 44 rice samples, representing seven distinct varieties, through a randomized sampling approach across various retail markets within Dhaka city.

Effectiveness of a package of community-based mental healthcare services to address perinatal mental disorders in Bangladesh: A cluster-randomized controlled trial.

Background: Perinatal mental disorders of women have an impact on their pregnancy and their child's brain development across low and middle-income countries. However, to address this issue, there are no specific guidelines for community-level service providers in Bangladesh. Therefore, we aimed to develop a community-based mental healthcare (CBMHC) service package and test its effectiveness in reducing depression, anxiety, and stress among mothers during the perinatal period.

Kiss1 receptor knockout exacerbates airway hyperresponsiveness and remodeling in a mouse model of allergic asthma.

Background: In asthma, sex-steroids signaling is recognized as a critical regulator of disease pathophysiology. However, the paradoxical role of sex-steroids, especially estrogen, suggests that an upstream mechanism or even independent of estrogen plays an important role in regulating asthma pathophysiology. In this context, in our previous studies, we explored kisspeptin (Kp) and its receptor Kiss1R's signaling in regulating human airway smooth muscle cell remodeling in vitro and airway hyperresponsiveness (AHR) in vivo in a mouse (wild-type, WT) model of asthma.

An analysis of decipherable red blood cell abnormality detection under federated environment leveraging XAI incorporated deep learning.

In recent times, automated detection of diseases from pathological images leveraging Machine Learning (ML) models has become fairly common, where the ML models learn detecting the disease by identifying biomarkers from the images. However, such an approach requires the models to be trained on a vast amount of data, and healthcare organizations often tend to limit access due to privacy concerns. Consequently, collecting data for traditional centralized training becomes challenging.

Modeling the significance of corporate social responsibility on green capabilities and sustainability performance.

This study examines the complex interplay among corporate social responsibility (CSR), green dynamic capabilities, green innovation capabilities, and organizations' economic, environmental, and social performance in the current era of innovation and sustainability. The proposed framework was tested using data from 634 medium- and large-sized Chinese manufacturing firms. Partial least squares structural equation modeling was employed to analyze the data.