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𝑱𝒐𝒖𝒓𝒏𝒂𝒍 𝒐𝒇 𝑮𝒆𝒐𝒈𝒓𝒂𝒑𝒉𝒊𝒄𝒂𝒍 𝑹𝒆𝒔𝒆𝒂𝒓𝒄𝒉 | 𝑽𝒐𝒍.5, 𝑰𝒔𝒔.1

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         👇👇👇👇👇𝑸𝒖𝒊𝒄𝒌 𝑮𝒖𝒊𝒅𝒆👇👇👇👇👇 ——————————————————————————1⃣ 𝘿𝙞𝙨𝙩𝙧𝙞𝙗𝙪𝙩𝙞𝙤𝙣 𝙤𝙛 𝙍𝙚𝙨𝙥𝙞𝙧𝙖𝙩𝙤𝙧𝙮 𝙏𝙧𝙖𝙘𝙩 𝙄𝙣𝙛𝙚𝙘𝙩𝙞𝙤𝙪𝙨 𝘿𝙞𝙨𝙚𝙖𝙨𝙚𝙨 𝙞𝙣 𝙍𝙚𝙡𝙖𝙩𝙞𝙤𝙣 𝙩𝙤 𝙋𝙖𝙧𝙩𝙞𝙘𝙪𝙡𝙖𝙩𝙚 𝙈𝙖𝙩𝙩𝙚𝙧 (𝙋𝙈2.5) 𝘾𝙤𝙣𝙘𝙚𝙣𝙩𝙧𝙖𝙩𝙞𝙤𝙣 𝙞𝙣 𝙎𝙚𝙡𝙚𝙘𝙩𝙚𝙙 𝙐𝙧𝙗𝙖𝙣 𝘾𝙚𝙣𝙩𝙧𝙚𝙨 𝙞𝙣 𝙉𝙞𝙜𝙚𝙧 𝘿𝙚𝙡𝙩𝙖 𝙍𝙚𝙜𝙞𝙤𝙣 𝙤𝙛 𝙉𝙞𝙜𝙚𝙧𝙞𝙖 DOI:  https://doi.org/10.30564/jgr.v5i1.3710 Abstract Due to the visibility of soot in the environment of the Niger Delta especially Rivers State that has led to the increase of  espiratory Tract Infections (RTIs) in the region, this study was undertaken to determine the relationship between Particulate Matter (PM2.5) concentration and the incident of Respiratory Tract Infections (RTIs) in selected urban centres of the Niger Delta. Data on RTIs were collected from the Hospital Management Boards of the Ministries of Health of Rivers, Bayelsa and Delta States and the data for PM2.5 were remotely sensed fr

𝑱𝒐𝒖𝒓𝒏𝒂𝒍 𝒐𝒇 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 𝑹𝒆𝒔𝒆𝒂𝒓𝒄𝒉 | 𝑽𝒐𝒍.4, 𝑰𝒔𝒔.1

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       👇👇👇👇👇𝑸𝒖𝒊𝒄𝒌 𝑮𝒖𝒊𝒅𝒆👇👇👇👇👇👇 ——————————————————————————1⃣ 𝙀𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩 𝙁𝙚𝙖𝙩𝙪𝙧𝙚 𝙎𝙚𝙡𝙚𝙘𝙩𝙞𝙤𝙣 𝙖𝙣𝙙 𝙈𝙇 𝘼𝙡𝙜𝙤𝙧𝙞𝙩𝙝𝙢 𝙛𝙤𝙧 𝘼𝙘𝙘𝙪𝙧𝙖𝙩𝙚 𝘿𝙞𝙖𝙜𝙣𝙤𝙨𝙩𝙞𝙘𝙨 DOI:  https://doi.org/10.30564/jcsr.v4i1.3852 Abstract Machine learning algorithms have been deployed in numerous optimization, prediction and classification problems. This has endeared them for application in fields such as computer networks and medical diagnosis. Although these machine learning algorithms achieve convincing results in these fields, they face numerous challenges when deployed on imbalanced dataset. Consequently, these algorithms are often biased towards majority class, hence unable to generalize the learning process. In addition, they are unable to effectively deal with high-dimensional datasets. Moreover, the utilization of conventional feature selection techniques from a dataset based on attribute significance render them ineffective for majority of the diagn

𝑱𝒐𝒖𝒓𝒏𝒂𝒍 𝒐𝒇 𝑨𝒕𝒎𝒐𝒔𝒑𝒉𝒆𝒓𝒊𝒄 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 𝑹𝒆𝒔𝒆𝒂𝒓𝒄𝒉 | 𝑽𝒐𝒍.5, 𝑰𝒔𝒔.1

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 𝑱𝒐𝒖𝒓𝒏𝒂𝒍 𝒐𝒇 𝑨𝒕𝒎𝒐𝒔𝒑𝒉𝒆𝒓𝒊𝒄 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 𝑹𝒆𝒔𝒆𝒂𝒓𝒄𝒉 | 𝑽𝒐𝒍.5, 𝑰𝒔𝒔.1               👇👇👇👇👇𝑸𝒖𝒊𝒄𝒌 𝑮𝒖𝒊𝒅𝒆👇👇👇👇👇 ——————————————————————————1⃣ 𝙂𝙄𝙎 & 𝙍𝙚𝙢𝙤𝙩𝙚 𝙎𝙚𝙣𝙨𝙞𝙣𝙜 𝘽𝙖𝙨𝙚𝙙 𝙈𝙤𝙧𝙥𝙝𝙤𝙢𝙚𝙩𝙧𝙞𝙘 𝙋𝙖𝙧𝙖𝙢𝙚𝙩𝙚𝙧𝙨 𝙖𝙣𝙙 𝙏𝙤𝙥𝙤𝙜𝙧𝙖𝙥𝙝𝙞𝙘 𝘾𝙝𝙖𝙣𝙜𝙚𝙨 𝙤𝙛 𝙩𝙝𝙚 𝙇𝙤𝙬𝙚𝙧 𝙊𝙧𝙖𝙨𝙝𝙞 𝙍𝙞𝙫𝙚𝙧 𝙞𝙣 𝙉𝙞𝙜𝙚𝙧 𝘿𝙚𝙡𝙩𝙖 DOI:  https://doi.org/10.30564/jasr.v5i1.3873 Abstract In watershed hydrology, the morphometric features of a river basin are vital to examine the lower Orashi River basin morphological and hydrological aspects, as well as its flood potential, based on their morphometric characteristics using remotely sensed SRTM data that was analyzed with ArcGIS software. The areal, linear, and relief aspects of the Orashi River basin were examined as morphometric parameters. The lower Orashi river basin, according to the findings, has a total size of 625.61 km2 and a perimeter of 307.98 km, with a 5th order

𝑱𝒐𝒖𝒓𝒏𝒂𝒍 𝒐𝒇 𝑬𝒏𝒗𝒊𝒓𝒐𝒏𝒎𝒆𝒏𝒕𝒂𝒍 & 𝑬𝒂𝒓𝒕𝒉 𝑺𝒄𝒊𝒆𝒏𝒄𝒆𝒔 | 𝑽𝒐𝒍.2, 𝑰𝒔𝒔.2

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👇👇👇👇👇𝑸𝒖𝒊𝒄𝒌 𝑮𝒖𝒊𝒅𝒆👇👇👇👇👇 ——————————————————————————1⃣ 𝘼𝙨𝙨𝙚𝙨𝙨𝙢𝙚𝙣𝙩 𝙤𝙛 𝙩𝙝𝙚 𝙋𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙫𝙚 𝘾𝙖𝙥𝙖𝙘𝙞𝙩𝙮 𝙤𝙛 𝙑𝙖𝙙𝙤𝙯𝙚 𝙕𝙤𝙣𝙚 𝙤𝙫𝙚𝙧 𝘼𝙦𝙪𝙞𝙛𝙚𝙧 𝙎𝙮𝙨𝙩𝙚𝙢𝙨 𝙐𝙨𝙞𝙣𝙜 𝙎𝙚𝙘𝙤𝙣𝙙𝙖𝙧𝙮 𝙂𝙚𝙤𝙚𝙡𝙚𝙘𝙩𝙧𝙞𝙘𝙖𝙡 𝙋𝙖𝙧𝙖𝙢𝙚𝙩𝙚𝙧𝙨: 𝘼 𝘾𝙖𝙨𝙚 𝙎𝙩𝙪𝙙𝙮 𝙊𝙛 𝙆𝙖𝙡𝙩𝙪𝙣𝙜𝙤 𝘼𝙧𝙚𝙖 𝙉𝙤𝙧𝙩𝙝 𝙀𝙖𝙨𝙩, 𝙉𝙞𝙜𝙚𝙧𝙞𝙖 DOI:  https://doi.org/10.30564/jees.v2i2.1633 Abstract An assessment of the protective capacity of the vadose zone overlying the aquifer systems in the Kaltungo area was carried out to determine its influence on groundwater quality. Applying the schlumberger array with a maximum electrode spread AB/2 = 100m through VES, thirty water well points were surveyed using Omega terrameter (PIOSO1) resistivity meter. The field data was first subjected to manual interpretation through curve marching and then digitized modeled curves using computer software. The interpreted data revealed that the area is characterized by eleve