Sohag Journal of Sciences最新文献

{"title":"Bacteriological Studies on Urine and Blood of Chronic Kidney Disease Patients","authors":"M. Youssef, Rehab Mohamed, Emad Mohamed, S. Hassan","doi":"10.21608/sjsci.2023.184999.1051","DOIUrl":"https://doi.org/10.21608/sjsci.2023.184999.1051","url":null,"abstract":"","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124471341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The crystallization kinetic studies of the Sn5Ge10Se85-xPbx (2.5≤x≤20 at. %) chalcogenide glasses","authors":"M. Wakkad, M. A. Abd El-Raheem, Hussein Mohamed, N. Hamed","doi":"10.21608/sjsci.2023.172603.1043","DOIUrl":"https://doi.org/10.21608/sjsci.2023.172603.1043","url":null,"abstract":"","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114216424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anti-Cancer Role of Cassia alata Leaf Extract in a Rat Model of Lung Cancer","authors":"Sherif Mohamed, M. Ibrahim, Doaa A Soliman","doi":"10.21608/sjsci.2022.163110.1032","DOIUrl":"https://doi.org/10.21608/sjsci.2022.163110.1032","url":null,"abstract":": Lung cancer was diagnosed in 2.09 million people and killed 1.76 million globally in 2018, making it the leading cause of cancer-related mortality in men and the second leading cause in women. Rats were categorized into four groups (10 rats/each), including Control (CTRL) group, the Ethyl carbamate (EC) group, the Ethyl carbamate+ Cassia alata leaves extract (EC+CALE) treated group, and the Ethyl carbamate + Cisplatin (EC+CIS) treated group. Lung index estimation, histological, biochemical, and molecular assays were done. The lung index was significantly increased in the EC group, but after treatment with CALE, the lung index decreased. Hematoxylin & Eosin stain showed the development of lung cancerous lesions in the epithelial lining of terminal bronchioles, CALE treated group provided more or less restoration of normal lung histology with no tumor mass observed. Also, CALE treatment restored the changes in glutathione, superoxide dismutase, malondialdehyde, and wild-type epidermal growth factor receptor (EGFR) - mRNA expression levels in lung tissues after treatment of lung cancer-bearing rats with CALE. The current study showed that Cassia alata leaves extract could be used as a new source of natural agents fighting lung cancer.","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"85 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123175656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acknowledgment to the Reviewers of Sohag Journal of Sciences in 2022","authors":"","doi":"10.21608/sjsci.2023.281344","DOIUrl":"https://doi.org/10.21608/sjsci.2023.281344","url":null,"abstract":"","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122332124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biosynthesis and Optimization of Selenium Nanoparticles Using Streptomyces sp","authors":"B. El-deeb, Ebtisam Asem, Khaled Z. Mohammed","doi":"10.21608/sjsci.2022.164668.1034","DOIUrl":"https://doi.org/10.21608/sjsci.2022.164668.1034","url":null,"abstract":": In the present study, a bacterial strain isolated from a soil sample taken from the region around the root of the plant (Alhagi graecorum) that is growing in the desert west of the Sohag Governorate and molecularly identified as Streptomyces sp. was evaluated for the capability of selenium nanoparticles (SeNPs) production. The results showed that the bacterial strain could produce stable SeNPs sustainably within a week under optimized conditions (pH 7 and 32 °C) at its extra/intracellular wall. Subsequently, UV-Vis spectra were used to characterize SeNPs produced under different parameters, showing changes in the absorbance around 582 nm 620 nm. The antimicrobial effects of SeNPs formed under different pH were also examined against pathogenic Escherichia coli. The results showed that SeNPs formed at acidic and basic pH induced substantially less antibacterial activity than those formed at a neutral pH where the diameter of the inhibition zone of SeNPs synthesized at pH 7 was 20 mm, but at pH 4 (13 mm), pH 5 (14 mm) and pH 9 (17 mm).","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131065820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paired Production of the Nile Tilapia (Oreochromis niloticus) and Lettuce (Lactuca sativa) within an Aquaponics System in Sohag Governorate","authors":"H. Soliman, A. Osman, M. Abbass, Ahmed E A Badrey","doi":"10.21608/sjsci.2022.165767.1037","DOIUrl":"https://doi.org/10.21608/sjsci.2022.165767.1037","url":null,"abstract":": Aquaponics is an eco-friendly system that integrates soilless cultivation and aquaculture. This study aimed to assess the water quality, hematological and biochemical parameters, and growth performances of tilapia ( Oreochromis niloticus ), as well as Lettuce ( Lactuca sativa ) yield, reared for 110 days in a newly developed deepwater culture (DWC), as a prototype built in the Upper Egypt Center of Development owned by the Academy of Scientific Research and Technology (ASRT) in Sohag Governorate, Egypt. The experimental work consisted of two DWC systems. Fish (n= 300 with an average weight (18 ± 0.8 g)) were fed daily for five days a week with 2% of the total biomass with a protein feed content (30%). The results showed that water quality parameters were within the optimal range for tilapia culture except for pH. The hematological and biochemical parameters and growth performances were within typical values. The growth and yield of Lettuce were measured through fresh weight, and they were better than in other studies. Aquaponics technology can be used to produce high-quality tilapia and lettuce.","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128037998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Groundwater Abstraction and Desalination Brine Injection on a Middle Miocene Aquifer of the El-Dabaa Area, Northern Coast of Egypt","authors":"A. Embaby, Ayman A. Ahmed, Tawfik Mahran, A. El-Sayed, A. Masoud","doi":"10.21608/sjsci.2022.171452.1042","DOIUrl":"https://doi.org/10.21608/sjsci.2022.171452.1042","url":null,"abstract":": The lack of freshwater supplies in the El-Dabaa area on the northern coast of Egypt is a challenge to development plans, particularly concerning the groundwater aquifer limits. Saltwater desalination is a reliable solution to water shortages. This study was conducted to assess the environmental impact of the abstraction operations from the groundwater in the Middle Miocene aquifer and the effect of the rejected brine resulting from the desalination plant on groundwater using numerical modeling. The calibrated transient model was used to predict the impacts of rejected water discharge. The forecasting scenario results indicate the decline of the aquifer's potentiometric surface to reach its maximum value of 1.4 m at well 3 within the study area by 2040. The radius of the affected area by drawdown is about 550 m, and the drawdown is generally decreased far away from the location of extraction wells (feeding wells). The salinity of the aquifer in the future scenario is affected by the rejected water inflow due to the high coefficient of permeability of the aquifer in the study area. The salinity increases to reach its maximum value of 40919 ppm at each reject well site and its maximum value of 37860 ppm at feed well 2 sites within the study area by the 2040 year. In contrast, most of the study area, mainly feed well 3, wasn't affected by rejected water. The radius of the affected area by salinity is about 700 m around the reject wells site by 2040.","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New Proposed Wireless Sensor Network Protocol for Internet of Things Applications","authors":"Zainab Mostafa Hashem, Hamdy H. El-Sayed, Mohamed Abo el-Hassan","doi":"10.21608/sjsci.2022.154531.1019","DOIUrl":"https://doi.org/10.21608/sjsci.2022.154531.1019","url":null,"abstract":": Modeling and constructing energy-efficient routing solutions to maximize the total network lifetime has become one of the most important techniques in wireless sensor networks (WSNs) due to the sensor nodes' limited hardware resources. In a distributed sensor network, cluster-based heterogeneous routing protocols, a common aspect of routing technology, have shown success in managing topology, energy consumption, data collection or fusion, reliability, or stability. This paper shows a new variation of Distributed Energy-Efficient Clustering (DEEC) protocol for WSNs, an energy-efficient three-level heterogeneous clustering method based on the DEEC protocol named Internet of Things DEEC (IoT-DEEC) protocol, is proposed. Unlike most other research, this considers the influence of the balanced thresholded sample in the energy consumption model. The current DEEC clustering protocol is enhanced by adding a threshold limit for cluster head selection and switching the power level across the nodes simultaneously. Our model is compared to Improved Distributed Energy Efficient Clustering (IDEEC) Protocol using MATLAB as a scenario based on quality metrics to measure network efficiencies such as the number of packets received by the base station (BS), overhead, packet delivery ratio, and throughput. After that, simulation results show that the suggested model is more efficient than the other protocol and substantially extends the sensor network lifetime.","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"945 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127006971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expected Risk Minimization and Robust Preventive Inference of Transfer Learning for COVID-19 Diagnosis within Chest X-Rays","authors":"Muhammad Ahmed, Yasser AbdelSattar, Ibrahim Abbas","doi":"10.21608/sjsci.2022.160309.1031","DOIUrl":"https://doi.org/10.21608/sjsci.2022.160309.1031","url":null,"abstract":": The creation of a treatment strategy and the choice of patient-checking circumstances within many others are supported by early diagnosis of COVID-19 infection. It is possible to detect COVID-19 early on by applying a deep learning method to radiographic medical lab images. Convolutional neural networks (CNN) are used in this study to improve COVID-19 diagnoses using X-ray scans. An automated diagnostic solution that can swiftly deliver accurate diagnostic results is required. CNNs have been found to be efficient at classifying medical images using deep learning techniques. Transfer Learning (TF) is the most reliable research supervised learning method, offering useful analysis to examine many radiographs image samples, and can considerably detect potential and infer preventative detection of COVID-19. Despite its high True Positive, testing healthcare professionals remains a serious risk. Three distinct deep TF and regularization-based architectures were studied on chest X-ray images for the diagnosis of COVID-19. Because these models already include weights trained on the ImageNet database, large training sets are unnecessary. To evaluate the model's performance, 21,165 chest x-ray scan samples were obtained from various sources and identified as COVID-19 data collection from four classes in the Kaggle repository. Average metrics results are collected to get the actual predictions for all classes. Although Saving training time with TF, an advance improvement for performance can be achieved by applying only some parts of the input image with most important segments of the input image are localized. To prove the validity of our approach we use Grad Cam algorithm to find the input image parts with most valuable features for decision making. The localised image region map is udsed to reproduce a lighter version of the image database with only marked as most important image regions. Metrics including precision, F1-Score, confusion matrix, accuracy, sensitivity, specificity, error rate, and error rate have been used to assess the performance of all the TF models., besides false positive (FP), Matthews Correlation Coefficient (MCC), and Kappa performance measures. In terms of performance, the ResNet-50 model outperforms all others with a low error rate of 0.039 and achieves more than a 96% accuracy. The study findings proven the proposed model validity as a computer-aided diagnostics model with a guarantee to supply help for radiologists quickly and accurately.","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"73 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123104325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Melatonin, Salicylic Acid, and Mycorrhizal Fungi Application on Agronomic and Grain Quality Traits in Wheat Grown under Different Water Irrigation Levels","authors":"K. Fayez, F. Abdo, H. Sabra","doi":"10.21608/sjsci.2022.167512.1038","DOIUrl":"https://doi.org/10.21608/sjsci.2022.167512.1038","url":null,"abstract":"Water stress is considered one of the most critical environmental factors affecting wheat growth and productivity worldwide. So, a field experiment was conducted at the experimental farm of Shandaweel Agricultural Research Station, Sohag governorate, Egypt, during the 2017/2018 and 2018/2019 growing seasons to study the effect of the application of melatonin (30 ppm), salicylic acid (200 ppm), and mycorrhizal fungi inoculation on wheat cultivar Shandaweel 1 under three irrigation levels i.e., 5476 (I100),4380 (I80) and 3285 (I60) m ha. Results showed that decreasing irrigation water amount from 5476 to 3285 m ha caused a significant decrease in days to heading, days to maturity, plant height, leaf area index at 75 and days after sowing, leaf chlorophyll content, spike length, number of spikes m, number of spikelets spike, number of kernels spike, thousand kernel weight, grain yield, biological yield, and grain carbohydrate content, while it caused a significant increase in grain protein content. Application of melatonin, salicylic acid, and mycorrhizal fungi treatments separately or in combination (salicylic acid + mycorrhizal fungi) or (melatonin + mycorrhizal fungi) reduced the negative effects of water stress in wheat as compared to the control treatment. The greatest reduction for the negative effect of water stress and the highest mean values of all studied traits were obtained with the combined application of (salicylic acid + mycorrhizal fungi) or (melatonin + mycorrhizal fungi) treatments and these combinations can play an important role in the reclamation of drought-affected land in arid and semi-arid regions.","PeriodicalId":146413,"journal":{"name":"Sohag Journal of Sciences","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}