In our country, the risk of urban flooding continues to rise due to climate change, irregular construction, rapid urbanization, population growth, inadequate drainage systems, and insufficient infrastructure. In Ankara, the capital city of Türkiye, in addition to urban flood risks, there is also a threat of flooding from the streams and creeks that pass through the city. Doğantepe, where these risks are frequently experienced, located in the Altındağ district of Ankara and one of the oldest settlements in Ankara. Doğantepe is located at a latitude of 40°01' N and a longitude of 32°98' E. In the present study, the concentration levels of ions reflecting the natural quality of forest and stream water in the Doğantepe were investigated.......

KEYWORDS:- Doğantepe stream water, Doğantepe forest water, heavy metal index, salt stress, water quality.

The identification of the origin of a timber has always been seen to be a challenging process, and there are now no useful protocol/instruments available for this purpose. This study aimed to classify Tectona grandis wood (increment bores) taken from the trees of nearby regions and to recognize important variations in origin betweengroups of the same wood species using Fourier transform near-infraredspectroscopy (FT-NIR) and Support Vector Machine Classification (SVMC). The increment cores were taken from the Tectona grandis trees of two locations (28 km apart) in the Dehradun district of Uttarakhand State.......

KEYWORDS:- Wood Classification, SVMC, FT-NIRS.

Today, both environmental concerns and the necessity to find solutions to the world's ever-increasing energy needs force people to find new and clean energy sources and develop environmentally friendly energy conversion systems. In this respect, the 21st century is the period in which 'hydrogen' is used as 'New Energy Technologies' and 'fuel cell' systems are adopted. For this purpose, the change in hydrogen and oxygen consumption in the fuel cell against time was investigated, ranging from 0.86 V to 2.44 V, with the model being repeated each time. The results show that the optimum configuration was found to 2.44 V and 6.88 W of power with the hydrogen.......

KEYWORDS:- Photovoltaic-electrolyzer-fuel cell-battery hybrid system, optimal configuration, electric vehicle.

Dysgraphia, a neurodevelopmental disorder affecting handwriting fluency, letter formation, and motor coordination, poses significant challenges for learners, particularly in early education settings. While advances in artificial intelligence (AI) and deep learning have enabled accurate dysgraphia detection through handwriting analysis, current models largely function in isolation, offering limited post-diagnostic support. This systematic literature review (SLR) explores recent developments from 2015 to 2024 in AI-based dysgraphia prediction, handwriting feature extraction, and visual scaffolding interventions. Following the PRISMA 2020 methodology, 35 peer-reviewed studies were analyzed across major databases, revealing high classification.......

KEYWORDS:- Dysgraphia, Handwriting Analysis, Visual Scaffolding, Deep Learning, Adaptive Learning.

The paper presents the study to explored the influence of tempering temperature on medium carbon steel based on microstructural evolution and its impact on tensile strength, hardness, ductility, and toughness. Medium carbon steel undergoes significant changes in microstructure and mechanical behavior when subjected to heat treatment processes such as tempering heat treatment. Tempering after quenching, is a critical step in refining medium carbon steel's martensitic microstructure to improve ductility and toughness while relieving brittleness. The tempering temperature plays a crucial role in determining the final microstructure and mechanical properties of the steel. At lower tempering temperatures.......

KEYWORDS:- Tempering, Heat Treatment, Martensite, Cementite, Ferrite, Medium carbon steel.

Investigation of Leachate Percolation to Groundwater Depth Around Choba Campus, University of Port Harcourt. This study investigates the extent of leachate percolation and its impact on groundwater quality within and around the Choba Campus of the University of Port Harcourt, Rivers State, Nigeria. The rapid population growth and unregulated waste disposal practices in the area have raised concerns over potential contamination of shallow aquifers. To assess the subsurface impact of leachate migration, the study employed a non-invasive geophysical technique—Apparent Diffusion Magnetic Technology (ADMT)—to delineate resistivity anomalies indicative of contamination.......

KEYWORDS:- leachate, groundwater, percolation, investigation, campus, geophysical, resistivity, ADMT.

This study applies Bayesian learning techniques, specifically Variational Inference (VI) and Monte Carlo Dropout (MC Dropout) to Automatic Modulation Classification (AMC). Both methods are built upon a Long Short-Term Memory (LSTM) framework and are capable of detecting certain out-of-domain (OOD) or novel modulations through threshold-based decision making. This paper illustrates the framework's new observation to quantify uncertainty and assess whether predictions belong to novel classes.......

KEYWORDS:- Automatic Modulation Classification, LSTM, Variational Inference, Monte Carlo Dropout.

COVID-19 broke out at the end of 2019 and it has been nearly five and a half years. However, the impact of its variants on people has become a hot topic in society. Although various vaccines have been invented and provided for use, people still feel uneasy. This article will start with the characteristics of COVID-19 and its impact on society, and will also discuss the measures taken by countries around the world. The author will further analyze the impact of COVID-19 on the general public from the perspective of sustainability and resilience, and propose appropriate responses with some examples around the world.......

KEYWORDS:- COVID-19, Vaccine, Sustainability, Resilience, Artificial Intelligence(AI).

Wood modification aims to enhance wood colour, dimensional stability, durability and other properties. Hydro-thermal method is an important method of wood modification. The objective of this work is to evaluate colour and chemical changes in wood due to hydro thermal treatments and to evaluate potential of near infrared spectroscopy to predict these properties for quality control. Populusdeltoides, a plantation grown timber with dull, pale-whitish colour, was taken for hydrothermal treatment at four temperatures (125 oC, 150 oC, 175 oC and 200 oC) and two durations 20 min and 40 min. Near infrared spectra and colour coordinates were collected from radial and tangential faces of treated wood........

KEYWORDS:- hydro-thermal treatment, near infrared spectroscopy, wood colour.

Adolescent pregnancies are a major global health concern, especially in low- and middle-income nations. Machine learning (ML)-based predictive modeling presents a viable method for determining and treating issues related to adolescent pregnancies. This review of the literature, which focuses on works released between 2018 and 2022, attempts to investigate the state of ML models in forecasting teenage pregnancies at this time. A comprehensive exploration of prominent scientific databases produced a total of 8 pertinent studies. The methods, datasets, features, and performance indicators used in these investigations are all examined in this study. Neural networks, decision trees, random forests.......

KEYWORDS:- Adolescent Pregnancies, Predictive Modeling, Demographic Data, Supervised Learning, Logistic Regression, Decision Trees, Random Forests, Vulnerable Populations.