GIS-based spatial assessment of water quality, soil, and plant: a case study of Darawat Dam Sindh, Pakistan.

This study applied integrated statistical approaches, including GIS mapping and the water quality index (WQI), to assess the quality of water, soil, and plant samples which collected from Darawat Dam, Sindh, Pakistan. The samples were analyzed for physicochemical parameters and metal analyses. Results of cations in water samples were in the range Na 26.

Bibliometric Analysis of the Top 100 Most Cited Papers in Aesthetic Plastic Surgery.

Objective: To conduct a comprehensive bibliometric analysis of the top 100 most cited papers in aesthetic plastic surgery.

Methods: The analysis utilized VOSviewer, bibliometrix and biblioshiny packages in R. A keyword analysis was performed on all publications.

Sensitivity analysis and dynamics of brucellosis infection disease in cattle with control incident rate by using fractional derivative.

The farming of animals is one of the largest industries, with animal food products, milk, and dairy being crucial components of the global economy. However, zoonotic bacterial diseases, including brucellosis, pose significant risks to human health. The goal of this research is to develop a mathematical model to understand the spread of brucellosis in cattle populations, utilizing the Caputo-Fabrizio operator to control the disease's incidence rate.

Ascorbic acid-immobilized zinc selenide for electrochemical monitoring of hydrogen peroxide in liver cancer samples.

Liver cancer is globally the most frequent fatal malignancy, and its identification is critical for making clinical decisions about treatment options. Pathological diagnostics and contemporary imaging technologies provide insufficient information for tumor identification. Hydrogen peroxide (HO), an emerging biomarker is a powerful oxidant found in the tumor microenvironment, and stimulates the invasion, proliferation, and metastasis of liver cancer cells.

A novel numerical solution of nonlinear stochastic model for the propagation of malicious codes in Wireless Sensor Networks using a high order spectral collocation technique.

The open nature of Wireless Sensor Networks (WSNs) renders them an easy target to malicious code propagation, posing a significant and persistent threat to their security. Various mathematical models have been studied in recent literature for understanding the dynamics and control of the propagation of malicious codes in WSNs. However, due to the inherent randomness and uncertainty present in WSNs, stochastic modeling approach is essential for a comprehensive understanding of the propagation of malicious codes in WSNs.

Comparative genetic diagnostic evaluation of pediatric neuromuscular diseases in a consanguineous population.

Neuromuscular diseases (NMD) are a group of neurological diseases that manifest with various clinical symptoms affecting different components of the peripheral nervous system, which play a role in voluntary body movements control. The primary objective of this study is to explore the diagnostic efficacy of a combined genetic and biochemical testing approach for patients with neuromuscular diseases with diverse presentations in a population with high rate of consanguinity. Genetic testing was performed using selected Next Generation Sequencing (NGS) gene panels and whole exome sequencing on the peripheral blood sample from the patients.

Computational and GC-MS screening of bioactive compounds from Thymus Vulgaris targeting mycolactone protein associated with Buruli ulcer.

Buruli ulcer (BU) a neglected disease induced by the bacterium Mycobacterium ulcerans, predominantly impacts tropical and subtropical areas with its pathophysiology ascribed to the Mycolactone protein. Current antibiotics frequently prove insufficient to manage advanced or chronic ulcers and the rise of drug resistance presents a considerable challenge. This work aims to address these challenges by employing computational methods to identify therapeutic candidates from organic compounds, which may be developed into more effective therapies for Buruli ulcer.

Trends in Mortality Due to Inflammatory Bowel Disease in the United States: A CDC WONDER Database Analysis (1999-2020).

Introduction: Inflammatory bowel disease (IBD) is a global health issue profoundly impacting quality of life. The United States accounts for nearly a quarter of the world's IBD patients, with the highest prevalence rates. This study aims to identify the demographic and regional trends of IBD-related mortality in the U.

An investigation of feature reduction, transferability, and generalization in AWID datasets for secure Wi-Fi networks.

The widespread use of wireless networks to transfer an enormous amount of sensitive information has caused a plethora of vulnerabilities and privacy issues. The management frames, particularly authentication and association frames, are vulnerable to cyberattacks and it is a significant concern. Existing research in Wi-Fi attack detection focused on obtaining high detection accuracy while neglecting modern traffic and attack scenarios such as key reinstallation or unauthorized decryption attacks.

Evaluation of efficacy of GCSF in reducing neutropenia among carcinoma patients undergoing anti-cancer chemotherapy. A prospective cohort study.

The use of granulocyte colony-stimulating factor (GCSF) to control febrile neutropenia (FN) caused by anti-cancer chemotherapy is well documented but it still needs to evaluated with respect to the specific type of cancer and chemotherapeutic agents. The present study evaluates the efficacy of adjunctive GCSF for treating FN after taking anticancer therapy by measuring clinical, hematological and microbiological outcomes. It is a single center study conducted at Hayatabad Medical Complex (HMC), Peshawar, Pakistan.

Block selection in multiblock partial least squares for modeling genotype-phenotype relations in Saccharomyces.

In data-based modeling, correlations between explanatory variables often lead to the formation of distinct gene blocks. This study focuses on identifying influential gene blocks and key variables within these blocks, with a particular application in mind: genotype-phenotype mapping in Saccharomyces. To overcome the challenges of a limited sample size, we use partial least squares (PLS).

Surface-enhanced Raman scattering of R6G dimerization during self-healing of gel.

Traditional surface-enhanced Raman scattering (SERS) substrates seeking uniformity and reproducibility of the Raman signal often assume and require that hot spots remain consistently stable during Raman testing. Recently, the non-uniform accumulation in SERS sample pre-concentration strategies have inspired the direct use of self-healing noble metal aerogels (NMAs), as the sample pretreatment presented in this work, and uncovered more diverse Raman information of substances during the dynamic process of laser irradiation. Rare characteristic peaks such as 820 cm⁻ for R6G within a specific concentration range were observed, and potential processes including R6G dimerization and desorption were analyzed.

Draft genome sequence of FH1.

Phytopathogens with multi-drug resistance are emerging frequently, resulting in various disease outbreaks. Hence, exploring new antimicrobials is urgent. Here, we present the draft genome sequence of FH1 strain, with the potential to produce various antimicrobial compounds.

Combined application of rhizobacteria, organic and inorganic amendments reduce lead and cadmium uptake and improve growth of chickpea by modulating physiology and antioxidant status.

Due to a lack of high-quality water, farmers have been compelled to use sewage water for irrigation, contaminating agricultural soils with multiple heavy metals. For the remediation of contaminated soil, plant growth-promoting rhizobacteria (PGPR), pressmud (PM), and iron (III) oxide were used to improve the growth and phytostabilization potential of chickpea grown in contaminated soil. Contaminated soil was collected from a nearby field, receiving sewage and factory water over the last 60 years.

Synthesis, characterization, and enzyme inhibition evaluation of sitagliptin derivatives and their metal complexes.

Aims: This study focuses on the synthesis and characterization of novel sitagliptin derivatives, aiming to develop potent, orally active anti-diabetic agents with minimal side effects for the management of type 2 diabetes mellitus. Copper (II) (SCu1-SCu9) and zinc (II) (SZn1-SZn9) metal complexes of sitagliptin-based derivatives were synthesized via a template reaction.

Material & Method: The synthesized complexes were comprehensively characterized using elemental analysis, FTIR, UV-Vis, 1 h NMR, and 13C NMR spectroscopy.

Impact of rumen-protected glucose on performance, milk composition, and selected blood metabolites of early lactating Holstein Friesian cows.

Introduction: High-producing dairy cows often face calving stress and reduced feed intake during the transition period, leading to body fat mobilization to meet production demands. Supplementing rations with energy-dense sources like rumen-protected glucose (RPG) may enhance production performance in early lactation.

Methods: This study evaluated the effects of RPG supplementation on feed intake, body condition score (BCS), production performance, and blood metabolites in 32 early-lactation Holstein Friesian cows (6 ± 1 DIM; milk yield: 30 ± 5 kg/day; body weight: 550 ± 50 kg; BCS: 3.

Revitalizing tetanus vaccine literacy post road accidents: a comprehensive examination of knowledge and awareness initiative among non-medical university students in Lahore, Pakistan.

Introduction: Tetanus, caused by , poses a life-threatening risk by affecting the nervous system and inducing muscle tightness. The objective of this study is to examine the knowledge, attitudes, and behaviors of non-medical university students regarding the tetanus vaccine in the context of post-road accidents.

Methods: A descriptive cross-sectional study was conducted in 2023, involving 378 students from non-medical disciplines, primarily from information technology, business administration, and engineering faculties, with a mean age of 20.

Advancing crop improvement through GWAS and beyond in mung bean.

Accessing the underlying genetics of complex traits, especially in small grain pulses is an important breeding objective for crop improvement. Genome-wide association studies (GWAS) analyze thousands of genetic variants across several genomes to identify links with specific traits. This approach has discovered many strong associations between genes and traits, and the number of associated variants is expected to continue to increase as GWAS sample sizes increase.