De novo transcriptome profiling revealing genes involved in piperine biosynthetic pathway in Piper longum L.

Piper longum, commonly known as long pepper, is highly valued for its bioactive alkaloid piperine, which has diverse pharmaceutical and culinary applications. In this study, we used high-throughput sequencing and de novo transcriptome assembly to analyze the transcriptomes of P. longum leaves, roots, and spikes.

Correlation Between Salivary Cortisol Levels and Diurnal Variation in Spirometric Parameters in Apparently Healthy Adults.

Background: This study investigated diurnal variations in spirometric parameters and their correlation with salivary cortisol levels among apparently healthy adults.

Methods: Forty subjects, aged 18-22, were assessed. Spirometric parameters, including forced vital capacity (FVC), forced expiratory volume in one second (FEV1), forced expiratory flow during 25%-75% of expiration, and peak expiratory flow rate, were measured in the morning, afternoon, and evening.

Comparative study of the relationship between empathy and motivation among undergraduate students of new curriculum and old curriculum.

Background: The new competency-based curriculum incorporates the social sciences and humanism to the basic and clinical sciences, thus giving an integrated approach to medical education. Comparing the empathy score with the motivation level across the two curricula was thus planned to assess the current status.

Method: A cross-sectional qualitative study using an Internet-based electronic survey containing both an academic motivation scale to assess the motivation level and Jefferson's scale of empathy was used to assess empathy score.

New Insights into the Diagnosis, Monitoring, and Management of Antenatal Hydronephrosis, Aiming to Refine Treatment Protocols: A Clinical Study.

Background: Antenatal hydronephrosis (ANH) is a common prenatal finding that requires careful evaluation to determine appropriate management strategies. The variability in outcomes underscores the need for refined diagnostic and monitoring protocols to differentiate between cases necessitating intervention and those likely to resolve spontaneously.

Materials And Methods: A prospective clinical study was conducted involving 150 pregnant women diagnosed with ANH between gestational weeks 18 to 24.

A Longitudinal Evaluation of the Effects of Moderate Physical Activity on Health, Metabolic, and Physiological Parameters in Individuals With Type 2 Diabetes Mellitus: A Comprehensive Study.

Background Diabetes mellitus (DM), especially type 2 diabetes mellitus (T2DM), is a serious worldwide health concern that is becoming more common and often develops at a young age, particularly in developing countries. Given the increasing incidence of diabetes in India, efficient management techniques are advantageous. The aim of this study is to evaluate the impact of physical activity on body measurements, biochemical markers, and clinical outcomes in Indian individuals with T2DM.

A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications.

The rapid growth of the Internet of Things (IoT) has led to the widespread adoption of the IoT networks in numerous digital applications. To counter physical threats in these systems, automatic modulation classification (AMC) has emerged as an effective approach for identifying the modulation format of signals in noisy environments. However, identifying those threats can be particularly challenging due to the scarcity of labeled data, which is a common issue in various IoT applications, such as anomaly detection for unmanned aerial vehicles (UAVs) and intrusion detection in the IoT networks.

A new isolate of mungbean yellow mosaic India virus in Vigna mungo L. reported from a Dayalbagh field, Agra.

Black gram (Vigna mungo L.) plants showing yellow mosaic symptoms during 2019-2022 crop seasons were collected randomly from a Dayalbagh field, Agra Region of Uttar Pradesh, India. Total genomic DNA was isolated from the infected leaf samples by the Cetyltrimethylammonium bromide (CTAB) method and subjected to PCR.

Obturator Nerve Block: An Anatomical Perspective.

Background A comprehensive understanding of the anatomy of the obturator nerve after its emergence from the obturator foramen is essential when undertaking an obturator nerve block effectively. This study was conducted to provide precise anatomical guidance of the obturator nerve block with surface landmarks in the inguinal region. Materials and methods A cross-sectional observational study was carried out on 34 dissected embalmed cadaveric lower limbs to investigate anatomic variability of obturator nerve localization concerning bony/ligamentous landmarks viz.

Pattern recognition receptors as potential therapeutic targets for developing immunological engineered plants.

There is an urgent need to combat pathogen infestations in crop plants to ensure food security worldwide. To counter this, plants have developed innate immunity mediated by Pattern Recognition Receptors (PRRs) that recognize pathogen-associated molecular patterns (PAMPs) and damage- associated molecular patterns (DAMPs). PRRs activate Pattern-Triggered Immunity (PTI), a defence mechanism involving intricate cell-surface and intracellular receptors.

Recent advances in plant translational genomics for crop improvement.

The growing population, climate change, and limited agricultural resources put enormous pressure on agricultural systems. A plateau in crop yields is occurring and extreme weather events and urbanization threaten the livelihood of farmers. It is imperative that immediate attention is paid to addressing the increasing food demand, ensuring resilience against emerging threats, and meeting the demand for more nutritious, safer food.

Metagenomics analysis of water samples collected from the Yamuna River of Agra city, India.

Yamuna River water in Agra city of India is contaminated with toxic pollutants, including heavy metals that cause damage to the environment and human health. At present, the direct use of river water for drinking purposes and household activities lead to the direct exposure of society to the contaminants. In this study, Yamuna River water samples were collected from three different sites in Agra city during the monsoon, summer, and winter seasons.

Diosgenin biosynthesis investigation in medicinal herb (Tribulus terrestris) by transcriptome analysis.

Next-generation sequencing (NGS) has revolutionized the analysis of specific genes, pathways, and their regulation in various species. Tribulus terrestris L., an annual medicinal herb of Zygophyllaceae family, has gained significant attention due to its diverse medicinal properties, including anti-inflammatory, antimicrobial, and anti-cancer effects.

Cerebroplacental Ratio as a Predictor of Perinatal Outcome in Hypertensive Disorders of Pregnancy and Its Comparison With Its Constituent Doppler Indices.

Objective Doppler velocimetry is an established method of antepartum fetal surveillance in pre-eclampsia. Cerebroplacental ratio detects the centralization of fetal blood flow and the insufficiency in placental circulation. It is postulated to be a better marker of perinatal outcome than either vessel Doppler alone.

An Improved Image Compression Algorithm Using 2D DWT and PCA with Canonical Huffman Encoding.

Of late, image compression has become crucial due to the rising need for faster encoding and decoding. To achieve this objective, the present study proposes the use of canonical Huffman coding (CHC) as an entropy coder, which entails a lower decoding time compared to binary Huffman codes. For image compression, discrete wavelet transform (DWT) and CHC with principal component analysis (PCA) were combined.

Correlation between Estimated Average Glucose Levels Calculated from HbA1c Values and Random Blood Glucose Levels in a Cohort of Subjects.

 Hemoglobin A1c (HbA1c) level remains the gold standard test for the assessment of glycemic control, and it reflects the mean glucose values in the previous 3-month period. HbA1c is expressed as a percentage, whereas the monitoring and treatment of diabetes are based on blood glucose levels expressed as mg/dL. It is appropriate to make it easy for the patient to understand both random blood sugar (RBS) and estimated average glucose (eAG) expressed with the same units.

Diabetic post-covid mucormycosis: A dermatoglyphic prediction.

Aim: To identify the characteristic pattern/parameter among diabetic post-covid mucormycosis patients which may further help in identifying such susceptible patients in a much earlier course of the disease.

Materials And Methods: The study was done with 30 diabetic patients (21 males and 9 females) admitted in RIMS Ranchi during the second wave of Covid-19 for post-covid complications. Palm and fingerprint pattern was taken by ink and pad method to measure the qualitative and quantitative parameters.

Genetic circuits in microbial biosensors for heavy metal detection in soil and water.

With the rapid population growth, the world is witnessing an ever-increasing demand for energy and natural resources. Consequently, soil, air, and water are polluted with diverse pollutants, including heavy metals (HM). The detection of heavy metals is necessary to remediate them, which is achieved with biosensors.

Upcoming progress of transcriptomics studies on plants: An overview.

Transcriptome sequencing or RNA-Sequencing is a high-resolution, sensitive and high-throughput next-generation sequencing (NGS) approach used to study non-model plants and other organisms. In other words, it is an assembly of RNA transcripts from individual or whole samples of functional and developmental stages. RNA- is a significant technique for identifying gene predictions and mining functional analysis that improves gene ontology understanding mechanisms of biological processes, molecular functions, and cellular components, but there is limited information available on this topic.

FedMSA: A Model Selection and Adaptation System for Federated Learning.

(FL) enables multiple clients to train a shared model collaboratively without sharing any personal data. However, selecting a model and adapting it quickly to meet user expectations in a large-scale FL application with heterogeneous devices is challenging. In this paper, we propose (FedMSA), which includes a hardware-aware model selection algorithm that trades-off model training efficiency and model performance base on FL developers' expectation.

Anatomical Study of the Variants of the Extrapelvic Part of the Pudendal Nerve.

Background A comprehensive understanding of the anatomy of the extra pelvic course of the pudendal nerve and its variations is crucial when undertaking perineal and perirectal procedures to safeguard the integrity of the extrapelvic segment of the pudendal nerve and its branches. So we aimed to identify the changes in the pudendal nerve's extrapelvic branching pattern before it enters the pudendal canal and its relationships and connections. Materials and Methods A cross-sectional descriptive study was carried out on 26 formalin embalmed adult human cadavers between 20 to 65 years (16 male and 10 female) of north Indian origin.

Dynamic Data Streams for Time-Critical IoT Systems in Energy-Aware IoT Devices Using Reinforcement Learning.

Thousands of energy-aware sensors have been placed for monitoring in a variety of scenarios, such as manufacturing, control systems, disaster management, flood control and so on, requiring time-critical energy-efficient solutions to extend their lifetime. This paper proposes reinforcement learning (RL) based dynamic data streams for time-critical IoT systems in energy-aware IoT devices. The designed solution employs the Q-Learning algorithm.

Delineation of molecular interactions of plant growth promoting bacteria induced β-1,3-glucanases and guanosine triphosphate ligand for antifungal response in rice: a molecular dynamics approach.

Background: The plant growth is influenced by multiple interactions with biotic (microbial) and abiotic components in their surroundings. These microbial interactions have both positive and negative effects on plant. Plant growth promoting bacterial (PGPR) interaction could result in positive growth under normal as well as in stress conditions.