Analyzing the impact of holistic building design on the process of lifecycle management of building structures.

This research examines how Holistic Building Design (HBD) affects Lifecycle Management of Building Structures in the ever-changing construction market. HBD includes adaptability, environmental sustainability, maintenance, and disaster preparation. It is a key idea in the present boom in resilient and sustainable building techniques.

Internet of things (IoT) for safety and efficiency in construction building site operations.

Internet of Things (IoT) technologies present transformative opportunities through connectivity of intelligent devices, environmental sensors, and integrated management systems. This study aims to investigate the benefits and impact of IoT implementation on construction sites by analyzing relationships between key factors and outcomes for safety and efficiency. Hypotheses were developed proposing positive correlations between each factor and effective IoT adoption on construction sites.

Investigating the impact of shear and bulk viscosity on the damping of confined acoustic modes in phononic crystal sensors.

Phononic crystal (PnC) sensors are recognized for their capability to control acoustic wave propagation through periodic structures, presenting considerable potential across various applications. Despite advancements, the effects of fluid viscosity on PnC performance remain intricate and inadequately understood. This study theoretically investigates the influence of shear (dynamic) and bulk viscosity on acoustic wave damping in defective one-dimensional phononic crystal (1D PnC) sensors designed for detecting liquid analytes.

Novel Hybrid Quantum Architecture-Based Lung Cancer Detection Using Chest Radiograph and Computerized Tomography Images.

Lung cancer, the second most common type of cancer worldwide, presents significant health challenges. Detecting this disease early is essential for improving patient outcomes and simplifying treatment. In this study, we propose a hybrid framework that combines deep learning (DL) with quantum computing to enhance the accuracy of lung cancer detection using chest radiographs (CXR) and computerized tomography (CT) images.

Ultra-sensitive optimized one-dimensional phononic crystal as a fluidic sensor to enhance the measurement of acetic acid concentration.

The current investigation theoretically presents a one-dimensional phononic crystal (PnC) as a fluidic sensor. The sensor under consideration aims to distinguish the concentration of acetic acid. The primary configuration of the proposed sensor is constructed with lead, epoxy, and a defect layer in the middle of the structure, that is filled with acetic acid (vinegar).

Consistent spectro-spatial features of human ECoG successfully decode naturalistic behavioral states.

Objective: Understanding the neural correlates of naturalistic behavior is critical for extending and confirming the results obtained from trial-based experiments and designing generalizable brain-computer interfaces that can operate outside laboratory environments. In this study, we aimed to pinpoint consistent spectro-spatial features of neural activity in humans that can discriminate between naturalistic behavioral states.

Approach: We analyzed data from five participants using electrocorticography (ECoG) with broad spatial coverage.

Fano resonance in one-dimensional quasiperiodic topological phononic crystals towards a stable and high-performance sensing tool.

Phononic crystals (PnCs) emerge as an innovative sensor technology, especially for high-performance sensing applications. This study strives to advance this field by developing new designs of PnC structures that exhibit stability in the face of construction imperfections and deformations, focusing on the evolution of topological PnCs (TPnCs). These designs could be promising to overcome the problem of instability involved in most of the theoretical PnC sensors when they emerge in experimental verification.

Quantifying the impact of urban road traffic on air quality: activity pre-pandemic and during partial and full lockdowns.

The impact of partial and full COVID lockdowns in 2020 on vehicle miles traveled (VMT) in Kuwait was estimated using data extracted from the Directions API of Google Maps and a Python script running as a cronjob. This approach was validated by comparing the predictions based on the app to measuring traffic flows for 1 week across four road segments considered in this study. VMT during lockdown periods were compared to VMT for the same calendar weeks before the pandemic.

Synergistic algal/bacterial interaction in membrane bioreactor for detoxification of 1,2-dichloroethane-rich petroleum wastewater.

The study addressed the challenge of treating petroleum industry wastewater with high concentrations of 1,2-dichloroethane (1,2-DCA) ranging from 384 to 1654 mg/L, which poses a challenge for bacterial biodegradation and algal photodegradation. To overcome this, a collaborative approach using membrane bioreactors (MBRs) that combine algae and bacteria was employed. This synergistic method effectively mitigated the toxicity of 1,2-DCA and curbed MBR fouling.

Supply-side factors influencing demand for facility-based delivery in Tanzania: a multilevel analysis.

Background: Improving access to facility-based delivery care has the potential to reduce maternal and newborn deaths across settings. Yet, the access to a health facility for childbirth remains low especially in low-income settings. To inform evidence-based interventions, more evidence is needed especially accounting for demand- and supply-side factors influencing access to facility-based delivery care.

Optical absorption performance of CZTS/ZnO thin film solar cells comprising anti-reflecting coating of texturing configuration.

This paper introduces a novel design of a thin-film solar cell based on CZTS and ZnO composite materials with the help of ITO as the front contact layer. This study primarily focuses on how the cells' optical absorbance at visible wavelengths can be improved. COMSOL Multiphysics is employed as a powerful tool for the investigation of the numerical simulation.

Evaluating the impact of COVID-19 on traffic congestion and safety skills using structural equation modeling (SEM) and Auto-Regressive Integrated Moving Average (ARIMA).

The current work presented a comparative analysis of traffic demand and safety skills before and after control measures during the COVID-19 epidemic, acquired time-series change data curves, and constructed a prediction model after determining the trend of traffic demand over time. From a data analysis perspective, the paper draws some interesting conclusions about long span, coarse sampling studies. In terms of the study population, the paper did focus on the specificity of the global epidemic.

Dual-Band and Wideband Bandpass Filters Using Coupled Lines and Tri-Stepped Impedance Stubs.

In this paper, two bandpass filters-one with a dual-band response and the other with a wideband response-were designed, implemented, and experimented with. The filters are based on the novel combination of series coupled lines and tri-stepped impedance stubs. However, coupled lines along with tri-stepped impedance open stubs (TSIOSs) give a third-order dual passband response.

The effect of traffic at speed bumps in residential areas on noise and air pollution.

Although transportation systems are an increasing necessity in today's connected world, the over-reliance on internal combustion engine vehicles has caused an increase in air and noise pollution. Air and noise pollutions are among the negative environmental factors that contribute to disease occurrence due to their negative health consequences. Literature has showed that air and noise pollutions were responsible for thousands of premature deaths in Europe.

Eco-friendly Silane-Based Coating for Mitigation of Carbon Steel Corrosion in Marine Environments.

Losses from corrosion contribute roughly 3-5% of the gross domestic product of developed nations, and among the many methods used to avoid corrosion, using silane-based coatings is seen to be of the biggest importance due to their low toxicity and superior adhesive qualities. It is essential to develop an anti-corrosion coating that is efficient, economical, and eco-friendly. The corrosion resistance and durability of various silane-based coatings such as 1,2-bis(triethoxysilyl)ethane (BTSE), bis[3-(triethoxysilyl)propyl]tetrasulfide (TESPT), and vinyltrimethylsilane (VTES) for carbon steel 1018 substrates were investigated in a high-salinity environment (4.

Brinjal leaf diseases detection based on discrete Shearlet transform and Deep Convolutional Neural Network.

Different diseases are observed in vegetables, fruits, cereals, and commercial crops by farmers and agricultural experts. Nonetheless, this evaluation process is time-consuming, and initial symptoms are primarily visible at microscopic levels, limiting the possibility of an accurate diagnosis. This paper proposes an innovative method for identifying and classifying infected brinjal leaves using Deep Convolutional Neural Networks (DCNN) and Radial Basis Feed Forward Neural Networks (RBFNN).

Customer perception and acceptance of autonomous delivery vehicles in the State of Kuwait during COVID-19.

COVID-19 is one of the most important dilemmas that took place during the last few years. Logisticians worked hard to present a new mechanism called Autonomous Delivery Vehicles (ADVs) by which they afford help making life easier for people during pandemic while trying to reduce pollution on road as well. This work mainly aimed to explore Unified Theory of Acceptance and Use of Technology (UTAUT2) and the convenience of users - according to gender - to the idea of using Autonomous Delivery Vehicles (ADVs).

Adsorption capacity of activated carbon derived from date seeds: Characterization, optimization, kinetic and equilibrium studies.

Agricultural wastes have the potential to be reused in applications such as water/wastewater treatment. Several studies have focused on activating organic waste, such as date seeds, to produce activated carbon. However, these studies have always assumed that all date seeds behave similarly to each other.

Thermal comfort analyses on jogging trails: The effect of trail direction and tree shading on trial surface and physiological equivalent temperatures.

Jogging trails have been constructed in residential areas in Kuwait City to encourage people to exercise in outdoor spaces. The weather is hot and arid for most of the year. To create a comfortable and healthy local microclimate condition, trails were constructed along a certain direction with respect to the direction of the main prevailing wind and shaded with trees.

Hybrid Tamm plasmon resonance excitation towards a simple and efficient biomedical detector of NaI solution.

This work presents a theoretical verification for the detection of Sodium iodide (NaI) solution with different concentrations in the vicinity of Tamm plasmon (TP) resonance. The proposed sensing tool is constituted of {prism/Ag/cavity/(GaN/CaF)/air}. The essential foundation of this study is based on the displacement of the TP resonance by varying the concentration of an aqueous solution of sodium iodide (NaI) that fills the cavity layer.

COVID-19 environmental and operational impact for public transport in Kuwait.

The corona virus disease pandemic (COVID-19) is one of the recent issues that spread in the world, which disrupted life, impacted the economy, and led to heavy losses, whether for government sectors or private companies. This paper focuses on the Kuwait public transport company KPTC and Kuwait Airways' experience during the pandemic, since they incurred major losses due to the decline of their users. Public transport is a place to catch COVID-19, as it is subjected to the use of a large number of passengers daily within a small closed environment.

A procurement-based classification of pharmaceutical supplies for diabetes disease management.

Background And Aims: Diabetes is among the most prevalent noncommunicable chronic diseases globally and carries a substantial expense in worldwide health care. Pharmaceutical supplies related to diabetes management account for 20%-40% of the disease's management cos, and this percentage continues to increase. This study examines the pharmaceutical expenses associated with one of the most common chronic diseases: diabetes.

Noncommunicable Diseases and Hospital Utilization in Kuwait: A Generalizable Approach Using the World Health Survey.

Background: Kuwait and countries in the Arabian Gulf region face an alarming prevalence of noncommunicable diseases (NCDs) that strain their health systems and threaten their economies. To quantify a key dimension of the burden, we estimated the risk of hospital utilization in Kuwait associated with diagnoses of the most prevalent NCDs, excluding cancer, using a generalizable approach suitable for cross-country disease burden comparisons and assessments of prevention effectiveness.

Methods: The study analyzed responses from a nationally representative sample of 2,165 individuals with self-reported hospital admissions over 12 months and NCD diagnoses from the World Health Survey in Kuwait in 2010.

CAD systems for COVID-19 diagnosis and disease stage classification by segmentation of infected regions from CT images.

Background: Here propose a computer-aided diagnosis (CAD) system to differentiate COVID-19 (the coronavirus disease of 2019) patients from normal cases, as well as to perform infection region segmentation along with infection severity estimation using computed tomography (CT) images. The developed system facilitates timely administration of appropriate treatment by identifying the disease stage without reliance on medical professionals. So far, this developed model gives the most accurate, fully automatic COVID-19 real-time CAD framework.

Conversion of Sewage Water into H Gas Fuel Using Hexagonal Nanosheets of the Polyaniline-Assisted Deposition of PbI as a Nanocomposite Photocathode with the Theoretical Qualitative Ab-Initio Calculation of the HO Splitting.

This study is very promising for providing a renewable enrgy (H gas fuel) under the elctrochemical splitting of the wastwater (sewage water). This study has double benefits: hydrogen generation and contaminations removel. This study is carried out on sewage water, third stage treated, from Beni-Suef city, Egypt.