Genome-wide identification of MGT gene family in soybean (Glycine max) and their expression analyses under magnesium stress conditions.

Background: Magnesium (Mg) is essential for plant growth and development and plays critical roles in physiological and biochemical processes. Mg deficiency adversely affects growth of plants by limiting shoot and root development, disturbing the structure and membranes of the grana, reducing photosynthesis efficiency, and lowering net CO assimilation. The MGT (Magnesium transporter) family is responsible for the absorption and transportation of magnesium in plants.

From cell to organ: Exploring the toxicological correlation of organophosphorus compounds in living system.

Malathion is an organophosphate compound widely used as an insecticide in the agriculture sector and is toxic to humans and other mammals. Although several studies have been conducted at different levels in different animal models. But there is no work has been conducted on the toxicological correlation from cellular to behavioral level in surviving species model.

Comparative lipid profiling reveals the differential response of distinct lipid subclasses in blast and blunt-induced mild traumatic brain injury.

Head trauma from blast exposure is a growing health concern, particularly among active military personnel, and is considered the signature injury of the Gulf War. However, it remains elusive whether fundamental differences exist between blast-related Traumatic Brain Injuries (TBI) and TBI due to other mechanisms. Considering the importance of lipid metabolism associated with neuronal membrane integrity and its compromise during TBI, we sought to find changes in lipidomic profiling during blast or blunt (Stereotaxically Controlled Contusison-SCC)-mediated TBI.

Correction: Aleem et al. Characterization of and Gene Families in the Soybeans in Response to Drought and Salinity Stresses. 2022, , 460.

In the original publication [...

Nanoparticle containing recombinant excretory/secretory-24 protein of enhanced the cellular immune responses in mice.

poses a global challenge as a parasite affecting small ruminants, yet the problem of absence of an effective vaccine against infection still exists. This investigation sought to appraise the immunological reaction induced by recombinant excretory/secretory-24 (rHcES-24) in combination with complete Freund's adjuvant (CFA) and bio-polymeric nanoparticles (NPs) within a murine model. In this study, rHcES-24 was encapsulated in poly(d, l-lactide-co-glycolide) (PLGA) and chitosan (CS) NPs, administered subcutaneously to mice.

Conceptualization and standardization of a non-invasive closed head injury model using directed shockwave to mice.

Traumatic brain injury (TBI) is a leading cause of death and disability worldwide, with closed head injury (CHI) being one of the most common forms of TBI. Preclinical modeling of TBI is challenging due to confounding factors like craniectomy and poorly controlled injury severity. This study proposes a non-invasive CHI model using directed shockwaves.

Genome-wide association study provides new insight into the underlying mechanism of drought tolerance during seed germination stage in soybean.

Drought is one of the major environmental issues that reduce crop yield. Seed germination is a crucial stage of plant development in all crop plants, including soybean. In soybean breeding, information about genetic mechanism of drought tolerance has great importance.

Possible protective effects of vanillin against stress-induced seminiferous tubule injury via modulation of Nrf2 and ZO1.

Around 20% of the human population is distressed. Previous studies have looked into the relationship between restraint immobilization stress (IS) and sexual behavior in male rats. The current study aimed to provide a brief explanation of the mechanisms that generated testicular injury with chronic IS and an attempt to evaluate the mechanisms and effects of vanillin as a novel protective agent.

Post-discharge mortality among patients hospitalised with severe acute respiratory infection, Bangladesh, 2012-2019: a prospective observational study.

Background: Enhancing outcomes post-hospitalisation requires an understanding of predictive factors for adverse events. This study aimed to estimate post-discharge mortality rates among patients with severe acute respiratory infection (SARI) in Bangladesh, identify associated factors, and document reported causes of death.

Methods: From January 2012 to December 2019, we conducted follow-up calls to patients or their families 30 days after discharge to assess the status of patients with SARI.

Incidence of Hospitalization due to Influenza-Associated Severe Acute Respiratory Infection During 2010-2019 in Bangladesh.

Background: Global influenza-associated acute respiratory infections contribute to 3-5 million severe illnesses requiring hospitalization annually, with 90% of hospitalizations occurring among children < 5 years in developing countries. In Bangladesh, the inadequate availability of nationally representative, robust estimates of influenza-associated hospitalizations limits allocation of resources for prevention and control measures.

Methods: This study used data from the hospital-based influenza surveillance (HBIS) system in Bangladesh from 2010 to 2019 and healthcare utilization surveys to determine hospital utilization patterns in the catchment area.

mRNA vaccines against infectious diseases and future direction.

Vaccines are used for the control of infectious diseases of animals. Over other types of vaccinations like live attenuated or killed vaccines, mRNA-based vaccines have significant advantages. As only a small portion of the pathogen's genetic material is employed and the dose rate of mRNA-based vaccines is low, there is the least possibility that the pathogen will reverse itself.

Demand-side load forecasting in smart grids using machine learning techniques.

Electrical load forecasting remains an ongoing challenge due to various factors, such as temperature and weather, which change day by day. In this age of Big Data, efficient handling of data and obtaining valuable information from raw data is crucial. Through the use of IoT devices and smart meters, we can capture data efficiently, whereas traditional methods may struggle with data management.

Pediatric Anesthesia Exposure: Decoding Its Neurodevelopmental Implications and Navigating the Nuances.

General anesthesia is fundamental in pediatric medical interventions, but its potential neurodevelopmental impact on children has raised concerns, necessitating a thorough investigation. This systematic review aimed to assess the association between pediatric anesthesia exposure and neurodevelopmental outcomes, focusing on dosage effects and identifying high-risk groups. The study involved an extensive literature search across PubMed, Medline, and Google Scholar, selecting 40 relevant studies from an initial pool of 2,000, based on inclusion criteria that focused on children under 18 years exposed to anesthesia, excluding those with major comorbidities or perioperative physiological insults.

Treatment of recurrent malignant pheochromocytoma with a novel approach: A case report and review of literature.

Introduction: Pheochromocytomas are rare catecholamine-secreting tumors with a high potential for recurrence post-surgery, necessitating prolonged follow-up. This case highlights the diagnostic and therapeutic challenges in managing recurrent pheochromocytoma.

Case Presentation: A 25-year-old female, with a history of left pheochromocytoma treated with adrenalectomy a decade earlier, presented with a right adrenal mass.

A model for new media data mining and analysis in online English teaching using long short-term memory (LSTM) network.

To maintain a harmonious teacher-student relationship and enable educators to gain a more insightful understanding of students' learning progress, this study collects data from learners utilizing the software through a network platform. These data are mainly formed by the user's learning characteristics, combined with the screen lighting time, built-in inertial sensor attitude, signal strength, network strength and other multi-dimensional characteristics to form the learning observation value, so as to analyze the corresponding learning state, so that teachers can carry out targeted teaching improvement. The article introduces an intelligent classification approach for learning time series, leveraging long short-term memory (LSTM) as the foundation of a deep network model.

AndroDex: Android Dex Images of Obfuscated Malware.

With the emergence of technology and the usage of a large number of smart devices, cyber threats are increasing. Therefore, research studies have shifted their attention to detecting Android malware in recent years. As a result, a reliable and large-scale malware dataset is essential to build effective malware classifiers.

Enhancement of dual zero phonon line emissions in nanodiamonds using quasiperiodic photonic structures.

Color centers in nanodiamonds (NDs) have been largely explored by coupling to a photonic structured matrix (PSM) to amplify visible range emission features, enhancing their use in quantum technologies. Here, we study the emission enhancement of dual near-infrared zero phonon line (ZPL) emission from silicon-boron (SiB) and silicon-vacancy (SiV) centers in NDs using a spontaneously emerged low index-contrast quasiperiodic PSM, having micron-scale air pores. An intensity enhancement factor of 6.

Blood-stage antimalarial activity, favourable metabolic stability and in vivo toxicity of novel piperazine linked 7-chloroquinoline-triazole conjugates.

The persistence of drug resistance poses a significant obstacle to the advancement of efficacious malaria treatments. The remarkable efficacy displayed by 1,2,3-triazole-based compounds against Plasmodium falciparum highlights the potential of triazole conjugates, with diverse pharmacologically active structures, as potential antimalarial agents. We aimed to synthesize 7-dichloroquinoline-triazole conjugates and their structure-activity relationship (SAR) derivatives to investigate their anti-plasmodial activity.

Association of recent respiratory illness and influenza with acute myocardial infarction among the Bangladeshi population: A case-control study.

Current evidence suggests that recent acute respiratory infections and seasonal influenza may precipitate acute myocardial infarction (AMI). This study examined the potential link between recent clinical respiratory illness (CRI) and influenza, and AMI in Bangladesh. Conducted during the 2018 influenza season at a Dhaka tertiary-level cardiovascular (CV) hospital, it included 150 AMI cases and two control groups: 44 hospitalized cardiac patients without AMI and 90 healthy individuals.