A novel intelligent framework for assessing within-host transmission dynamics of Chikungunya virus using an unsupervised stochastic neural network approach.

In this study, we present a novel intelligent computing framework based on unsupervised random projection neural networks for analyzing the within-host transmission dynamics of the Chikungunya virus with an adaptive immune response. In addition to the fundamental analysis of the model, we perform comprehensive simulations under varying initial conditions to explore the dynamics in both the virus-free and endemic states. The proposed method is compared with existing numerical techniques in terms of absolute errors for different cases, considering different suitable initial values of the state variables.

Long-term effect of repeated low-level red light therapy on myopia control: A systematic review and meta-analysis.

Introduction: Myopia is a refractive error where distant objects are not clearly seen and appear blurred. Goal of this study was to evaluate long-term effectiveness of Repeated Low-Level Red Light (RLRL) therapy for children with myopia, which primarily focused on Axial length (AL) and Spherical Equivalent Refraction (SER) as primary endpoints.

Methods: The research compared outcomes between RLRL treatment with Single Vision Spectacles (SVS) for childhood myopia management.

Decoding exchange rate in emerging economy: Financial and energy dynamics.

This research paper examines the financial and energy-related factors influencing the exchange rate in Pakistan, focusing on currency depreciation or appreciation between July 2006 and June 2021. The Autoregressive Distributed Lag (ARDL) Bounds Test is employed to analyze both short- and long-run dynamics. The findings reveal that foreign direct investment (FDI) supports strengthening the exchange rate, addressing concerns about short- and long-term profitability.

Assessing the global dynamics of Nipah infection under vaccination and treatment: A novel computational modeling approach.

In biology and life sciences, fractal theory and fractional calculus have significant applications in simulating and understanding complex problems. In this paper, a compartmental model employing Caputo-type fractional and fractal-fractional operators is presented to analyze Nipah virus (NiV) dynamics and transmission. Initially, the model includes nine nonlinear ordinary differential equations that consider viral concentration, flying fox, and human populations simultaneously.

Exploring the synergistic effect of NaOH/NaClO absorbent in a novel wet FGD scrubber to control SOx/NOx emissions.

Escalating SOx and NOx emissions from industrial plants necessitates customized scrubbing solutions to improve removal efficiency and tackle cost limitations in existing wet FGD units. This work investigates the real-time intensified removal pathways via an innovative two-stage countercurrent spray tower configuration strategically integrating NaOH (M) and NaOH/NaClO (M/M) to remove SOx and NOx emissions simultaneously from the industrial stack through a comprehensive parametric study of absorbents concentration, reaction temperature, gas flow rate, liquid to gas ratio (F/F), and absorbent showering head. Flue gas stream comprising SO bearing 4500 ppm, SO bearing 300 ppm, 70 ppm NO, and 50 ppm NO brought into contact with two scrubbing solutions as M, and a complex absorbent of M/M at varying respective ratios.

Quantifying sustainable urbanization by predictive modeling for better agricultural management: A case study in the South Asiatic Region.

Global population growth and uncontrolled are creating threats to agricultural land. To address urbanization, proactive planning is required. Land use and land cover (LULC) classification maps for 2002-2022 were analyzed using remote sensing (RS) and geographic information systems (GIS) in Sahiwal, Punjab, Pakistan.

Spatio-temporal analysis of litterfall load in the lower reaches of Qarqan and Tarim rivers using BP neural networks.

Litterfall load is crucial in maintaining ecosystem health, controlling wildfires, and estimating carbon stock in arid regions. However, there is a lack of spatiotemporal analysis of litterfall in arid riparian forests. This study aims to estimate Litterfall load using a BP neural network based on vegetation indices from Landsat 5 and 8 satellite images, litterfall inventory data, slope, and distance to major river tributaries.

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.

Comparison of corneal endothelial cell morphology in type-2 diabetes and nondiabetics.

Background: The purpose of this study was to evaluate and compare the values of hexagonality of endothelial cells among type-2 diabetics and nondiabetics. It also aimed at finding the correlation of the hexagonality of endothelial cells with the duration of diabetes, random blood sugar level, and severity of diabetic retinopathy in type-2 diabetics.

Materials And Methods: A comparative cross-sectional study was conducted for 8 months from January to August 2022.

Black soybean peptide mediates the AMPK/SIRT1/NF-κB signaling pathway to alleviate Alzheimer's-related neuroinflammation in lead-exposed HT22 cells.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by hyperphosphorylation of tau, neuroinflammation, and amyloid-beta (Aβ) plaques. Lead (Pb) exposure has been linked to an increased risk of AD and neuroinflammation. The purpose of this study is to determine if black soybean peptide (BSP1) may reduce neuroinflammation caused by Pb and associated AD-like pathology.

COMPARISON OF MEAN POSTOPERATIVE PAIN BETWEEN TOPICAL ANAESTHESIA AND RETROBULBAR ANAESTHESIA IN PATIENTS WITH PHACOEMULSIFICATION PROCEDURE FOR CATARACT SURGERY.

Background: The purpose of the study was to compare the mean post-operative pain in patients undergoing phacoemulsification for cataract with topical anaesthesia vs. retrobulbar anaesthesia.

Methods: An interventional study was carried out in a tertiary care hospital of Islamabad.

A cobalt-tetraphenylporphyrin-based hypercrosslinked polymer for efficient CO photoreduction to CO.

One of the main impediments during the CO photocatalytic reduction process is controlling a particular product's selectivity while keeping a high conversion rate. The adsorption and affinity of the catalyst for CO are key factors for achieving highly efficient CO reduction. Herein, we report a novel photocatalytic material, cobalt anchored onto a tetraphenylporphyrin-based hypercrosslinked polymer (HCP-CoTPP), which was designed for the efficient photoreduction of CO to CO with an impressive evolution rate of 1449.

Advanced Bearing-Fault Diagnosis and Classification Using Mel-Scalograms and FOX-Optimized ANN.

Accurate and reliable bearing-fault diagnosis is important for ensuring the efficiency and safety of industrial machinery. This paper presents a novel method for bearing-fault diagnosis using Mel-transformed scalograms obtained from vibrational signals (VS). The signals are windowed and pass through a Mel filter bank, converting them into a Mel spectrum.

Antidepressant effects of SY-2476: A caffeine derivative's role in A1/A2 gene expression modulation in corticosterone-induced depressed rats.

Depression is a pervasive mood disorder that continues to challenge researchers and clinicians worldwide. Caffeine and its derivatives have been studied for their neuroprotective and antidepressant effect. Current study aimed to explore the potential antidepressant effect of a caffeine derivative, Sy-2476 [4-(1, 3, 7-trimethyl-2, 6-dioxo-2, 3, 6, 7-tetrahydro-1H-purin-8-yl) benzo nitrile], in corticosterone-induced rat model of depression.

Violet light transmission through eyeglasses and its effects on myopic children: A systematic review and meta-analysis.

Purpose: Myopia is a refractive error that impairs visual function and leads to visual blurring. This study aims to investigate the effect of violet light (VL) on controlling myopia, specifically in terms of axial length (AL), spherical equivalent refraction (SER), and visual acuity (VA).

Methods: A systematic review was conducted to compare VL and single-vision spectacles (SVSs) for treating childhood myopia.

Towards a greener future: The impact of financial technology (FinTech) and climate finance on ecological sustainability.

Ecological sustainability has become a top priority for worldwide policymakers due to severe consequences. Innovative approaches, like climate finance and financial technology (FinTech), are crucial in combating climate change and its environmental hazards. This study aims to investigate the role of climate finance on ecological sustainability with FinTech and institutional quality as moderators from 2010 to 2022 in 58 advanced countries.

Impacts of shifting from single-species pine forests to distinct agroforestry models on soil fertility, exchangeable cations, and microbial functions.

The transition from monoculture to mixed-species agroforestry systems affects soil organic matter and microbial activity. However, the specific dynamics of these changes, particularly within medicinal plant-based agroforestry, remain underexplored. This study investigates the impact of monoculture Pine (Pinus massoniana) forests and four agroforestry models: (M1) Pinus massoniana and Alpina oxyphylla, (M2) Pinus massoniana and Ficus simplicissima, (M3) Pinus massoniana and Amomum villosum, and (M4) Pinus massoniana and Curcuma longa on soil properties and microbial activity in rhizosphere and non-rhizosphere environments.

Optimal control analysis for the Nipah infection with constant and time-varying vaccination and treatment under real data application.

In the last two decades, Nipah virus (NiV) has emerged as a significant paramyxovirus transmitted by bats, causing severe respiratory illness and encephalitis in humans. NiV has been included in the World Health Organization's Blueprint list of priority pathogens due its potential for human-to-human transmission and zoonotic characteristics. In this paper, a mathematical model is formulated to analyze the dynamics and optimal control of NiV.

Optimal management options for esophageal gastrointestinal stromal tumors (E-GIST).

Objective: To explore the different treatment modalities for esophageal gastrointestinal stromal tumors (E-GIST) and their respective applicability and clinical outcomes.

Methods: This is a retrospective study in which consecutive patients diagnosed with E-GIST at our hospital from January 2017 to August 2023 were included. The clinical characteristics of all the patients as well as long-term quality of life were recorded and analyzed.

Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework.

Detecting pipeline leaks is an essential factor in maintaining the integrity of fluid transport systems. This paper introduces an advanced deep learning framework that uses continuous wavelet transform (CWT) images for precise detection of such leaks. Transforming acoustic signals from pipelines under various conditions into CWT scalograms, followed by signal processing by non-local means and adaptive histogram equalization, results in new enhanced leak-induced scalograms (ELIS) that capture detailed energy fluctuations across time-frequency scales.

Primary synovial sarcoma in anal canal: Report of a very rare case.

Extensive studies are required to understand the behavior as well as prognosis of SS in the colorectal region. IHC staining is essential for the accurate diagnosis when a lesion is encountered at an unusual site.