Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption.

Energy is integral to the socio-economic development of every country. This development leads to a rapid increase in the demand for energy consumption. However, due to the constraints and costs associated with energy generation resources, it has become crucial for both energy generation companies and consumers to predict energy consumption well in advance.

An innovative artificial neural network model for smart crop prediction using sensory network based soil data.

A thriving agricultural system is the cornerstone of an expanding economy of agricultural countries. Farmers' crop productivity is significantly reduced when they choose the crop without considering environmental factors and soil characteristics. Crop prediction enables farmers to select crops that maximize crop yield and earnings.

Optimal features selection in the high dimensional data based on robust technique: Application to different health database.

Bio-informatics and gene expression analysis face major hurdles when dealing with high-dimensional data, where the number of variables or genes much outweighs the number of samples. These difficulties are exacerbated, particularly in microarray data processing, by redundant genes that do not significantly contribute to the response variable. To address this issue, gene selection emerges as a feasible method for identifying the most important genes, hence reducing the generalization error of classification algorithms.

Pashto script and graphics detection in camera captured Pashto document images using deep learning model.

Layout analysis is the main component of a typical Document Image Analysis (DIA) system and plays an important role in pre-processing. However, regarding the Pashto language, the document images have not been explored so far. This research, for the first time, examines Pashto text along with graphics and proposes a deep learning-based classifier that can detect Pashto text and graphics per document.

Optimization of Distributed Energy Resources Operation in Green Buildings Environment.

Without a well-defined energy management plan, achieving meaningful improvements in human lifestyle becomes challenging. Adequate energy resources are essential for development, but they are both limited and costly. In the literature, several solutions have been proposed for energy management but they either minimize energy consumption or improve the occupant's comfort index.

Deep learning-based recognition system for pashto handwritten text: benchmark on PHTI.

This article introduces a recognition system for handwritten text in the Pashto language, representing the first attempt to establish a baseline system using the Pashto Handwritten Text Imagebase (PHTI) dataset. Initially, the PHTI dataset underwent pre-processed to eliminate unwanted characters, subsequently, the dataset was divided into training 70%, validation 15%, and test sets 15%. The proposed recognition system is based on multi-dimensional long short-term memory (MD-LSTM) networks.

Touch or click friendly: Towards adaptive user interfaces for complex applications.

This study evaluated the usability of a direct manipulation device (touchscreen) vs. indirect manipulation devices (mouse and touchpad) on the selected Microsoft (MS) Word tasks as per ISO-9241-11 standard. MS Word was taken as an example of a complex application.

Microplastic Quantification in Aquatic Birds: Biomonitoring the Environmental Health of the Panjkora River Freshwater Ecosystem in Pakistan.

Microplastic pollution has become a global concern, with potential negative impacts on various ecosystems and wildlife species. Among these species, ducks () are particularly vulnerable due to their feeding habits and proximity to aquatic environments contaminated with microplastics. The current study was designed to monitor microplastic (MP) pollutants in the freshwater ecosystem of the Panjkora River, Lower Dir, Pakistan.

Designing a novel chimeric multi-epitope vaccine subunit against through artificial intelligence approach integrating pan-genome analysis, identification, and immunogenicity profiling.

is a newly identified pathogen that causes respiratory tract infections, skin infections, such as cellulitis, abscesses, and impetigo, and currently, there is no licensed vaccine available against it. To develop a vaccine against , a bacterial pan-genome analysis was applied to identify potential vaccine candidates. A total of 4908 core proteins were retrieved and utilized for identifying four proteins, including SG38 Panton-Valentine leukocidin LukS-PV protein, SG62 staphylococcal enterotoxin type A protein, SG39 enterotoxin B protein, and SG43 enterotoxin type C3 protein as potential vaccine candidates.

Prevalence of type 2 diabetes and pre-diabetes in Sri Lanka: a systematic review and meta-analysis.

Objective: The purpose of this research was to determine the prevalence of diabetes and pre-diabetes in Sri Lanka.

Design: Systematic review and meta-analysis.

Data Sources: MEDLINE (via PubMed), Web of Science, Sri Lankan Journals online and Google Scholar were searched for relevant articles published between January 1990 and June 2022 investigating the prevalence of pre-diabetes and diabetes in Sri Lanka.

MIR149 rs2292832 and MIR499 rs3746444 Genetic Variants Associated with the Risk of Rheumatoid Arthritis.

Introduction: MicroRNAs (miRNAs) are small non-coding RNAs that play a key role in post-transcriptional modulation of individual genes' expression. Several miRNA variants from different populations are known to be associated with an increased risk of rheumatoid arthritis (RA).

Aim: This study was undertaken with the aim to investigate the association of single nucleotide variants; namely, rs2292832, rs3746444, rs11614913, rs1044165, and rs767649 of MIR149, MIR499, MIR196, MIR223, and MIR155, respectively, with RA in the Pakistani population.

An analysis of the impact of China's macroeconomic performance on its trade partners: Evidence based on the GVAR model.

Economic strategies and planning are critical to a country's growth and development. China, like many other countries, is seeking the most cost-effective trade deals. Using the Global Vector Auto Regression (GVAR) model, this study examined the impact of a shock to China's macroeconomic factors on trading economies.

An analysis of the success of fiscal adjustment in reducing public debt: Evidence from Pakistan.

This study seeks answers to questions such as: what is fiscal adjustment? Which fiscal strategy will result in a reduction in public debt liabilities? In the pursuit of answers to these questions, the study has defined two objectives. Firstly, the fiscal adjustment episodes must be identified in order to detach the discretionary fiscal stance; secondly, the success of these adjustment episodes in reducing public debt liabilities must be assessed. As a result, attempts will be made to undertake analyses that would simplify the issues underlying Pakistan's practical policy options.

Bowman's layer transplantation in advanced keratoconus; 18-months outcomes.

Purpose: To assess the outcome of isolated Bowman's layer transplantation (BLT) in advanced keratoconus in the patients not suitable for ultra violet cross-linking and intra stromal corneal ring segments.

Study Design: Nonrandomized Quasi-Experimental.

Materials And Methods: Mid corneal stromal dissection followed by implantation of manually isolated bowman layer from a donor into the recipient stromal pocket was performed in the Department of Ophthalmology Khyber Teaching Hospital Peshawar from September 2018 to October 2018 and followed up over 18 months.

Risk Factors And Treatment Outcome Of Children With HCV Infection.

Background: Combination of pegylated interferon α-2a or α-2b has been considered to be the standard for treating HCV infection among children. Many new agents inhibiting HCV during various steps while replicating is under study around the world. This study was aimed to note the efficacy of sofosbuvir and ribavirin among children having HCV infection.

Spammer group detection and diversification of customers' reviews.

Online reviews regarding different products or services have become the main source to determine public opinions. Consequently, manufacturers and sellers are extremely concerned with customer reviews as these have a direct impact on their businesses. Unfortunately, to gain profit or fame, spam reviews are written to promote or demote targeted products or services.

Etiologies and outcome of lower gastrointestinal bleeding in patients presenting to a tertiary care Children's Hospital.

Objective: To determine etiology and outcome of children with lower gastrointestinal bleeding (LGIB).

Methods: This was a prospective study conducted at the Department of Pediatric Gastroenterology and Hepatology, Children's Hospital and The Institute of Child's Heath, Multan, Pakistan, from July 2019 to March 2020. A total of 148 cases presented with bleeding per rectum and underwent colonoscopy, were included.

Ocular Surface Squamous Neoplasia: Clinicopathological Analysis and Treatment Outcome of 65 Cases.

Objectives: To find out the demography, clinical behaviour and outcome of ocular surface squamous neoplasia (OSSN) in North-west Pakistan.

Study Design: Case series.

Place And Duration Of Study: Department of Ophthalmology, Khyber Teaching Hospital, Peshawar, Pakistan, from March 2011 to December 2017.

Investigation of - and -antisymmetry in two dimensional (2D) optical lattices.

A collection of cold rubidium atoms in three-level configuration trapped in two dimensional (2D) optical lattices is revisited. The trapped atoms are considered in the Gaussian density distribution and we study the realization of -, non- -, and -antisymmetry in 2D optical lattices. Such a fascinating modulation is achieved by spatially modulating the intensity of the driving field.

Synergistic effect of a novel chitosan/silica nanocomposites-based formulation against gray mold of table grapes and its possible mode of action.

Ecofriendly nanostructured materials have been proposed as promising alternative control means to prevent plant diseases. Chitosan nanoparticles (CN), silica nanoparticles (SN) and chitosan-silica nanocomposites (CSN) were synthesized and their morphology and structure was characterized by transmission electron microscope (TEM), scanning electron microscopy (SEM), infrared spectra (FT-IR) and Raman spectroscopy. Their antifungal efficiency against Botrytis cinerea, the causal fungus of gray mold disease of table grapes, was tested in vitro and in vivo (under artificial and natural infections).

Synthesis of graft copolymers of chitosan-poly(caprolactone) by lipase catalysed reactive extrusion.

Chitin is an abundant natural polymer and its deacetylated derivative chitosan has been a focus for the development of biobased, biocompatible and antimicrobial materials. In this work, a green and scalable route to grafting polycaprolactone (PCL) to chitosan using an enzyme catalysed reactive extrusion process is described. FTIR, H and C NMR spectroscopy and HSQC analysis confirm grafting of PCL to chitosan and show differences in the grafting pattern obtained using two commercially produced lipase enzymes from Candida antarctica (CALB and NovoCor).

Vogt Koyanagi Harada disease: treatment and visual prognosis.

Vogt Koyanagi Harada (VKH) disease is a chronic, bilateral, granulomatous panuveitis associated with central nervous system, auditory and integumentary manifestations. The study was conducted from January 2001 to December 2010 at the Department of Ophthalmology, Khyber Teaching Hospital, Peshawar. A total of 9 patients with diagnosis of Vogt Koyanagi Harada disease were included in the study.

Clinicopathological analysis of malignant eyelid tumours in north-west Pakistan.

Objective: To analyse the demography, mode of presentation, gross morphology, histopathological diagnosis and subsequent course of malignant eyelid tumours in north-west Pakistan.

Methods: The retrospective observational study was performed at the Department of Ophthalmology, Khyber Teaching Hospital, Peshawar, from January 2007 to July 2010, and comprised data related to 222 patients. Charts of patients with malignant eyelid tumours admitted to the department during study period were reviewed.