The paper aims to analyze land use/land cover (LULC) changes in western part and the populated area of Amman governorate and to identify the process of urbanization and urban expansion within the study area for the pe...The paper aims to analyze land use/land cover (LULC) changes in western part and the populated area of Amman governorate and to identify the process of urbanization and urban expansion within the study area for the period of 1984-2014. It also aims to predict future LULC map for the year 2030 using Markov Model to provide city planners and decision makers with information about the past and current spatial dynamics of LULC change and strictly urban expansion towards successful management and better planning in the future. Images from Landsat 5-TM for the years 1984, 1999 and from Landsat 8-OLI for the year 2014 were used to investigate LULC within the study area during 1984-2014 and the resulted LULC maps in 1999 and 2014 were used to predict future LULC map based on Markov Model. The results indicated that the urban/built up area expanded by 147% during the period from 1984 to 2014 and predicted to expand by 43.9% from 2014 to 2030 based on Markov model predictions. The areas in the western, northwest and southwest parts of Amman as well as the areas of Marka and Uhud, the northeast of the study area, were predicted to witness the major urban expansion in 2030. And these are the areas where city planners and decision makers should take into consideration in future plans of Amman. The urban expansion was mainly attributed to the high population growth rate and large number of immigrants from neighboring countries and other socio-economic changes.展开更多
Rapid urbanization and population growth of the Amman Area were combined with land resource degradation when the city was heading for mounting urbanization from the early 1950s. The deterioration of natural resources ...Rapid urbanization and population growth of the Amman Area were combined with land resource degradation when the city was heading for mounting urbanization from the early 1950s. The deterioration of natural resources and green areas, was coupled with the creation of different urban public open spaces in the city. The transformation from large single-family houses to dense residential apartments was associated with social and behavioral changes among the inhabitants living in the dense apartments. Consequently, a large private sector has been developed to provide public and social spaces. Photo-interpretation and satellite images were used to map and characterize land use/cover changes have been occurred in the Amman area between 1953 and 2017. Maximum Likelihood Classification method was employed to identify land use/cover changes between 1986 and 20017, and GIS was utilized also to map examples of the recently emerged socio-economic open spaces. Excessive urban development in the last two decades, and the adoption of neo-liberal privatization policies by the government, enhanced social stratification and residential segregation. So, instead of encouraging outdoor activity and social interaction among all groups of Amman residents, the freedom of accessibility to major open spaces has been restricted within the same urban fabric, thus, the “two Ammans” paradigm, a “tale of two cities”, has been recently acknowledged.展开更多
The importance of groundwater portability and the possible sources of anthropogenic contamination have led to the development of intrinsic groundwater vulnerability mapping. In this study, groundwater vulnerability ma...The importance of groundwater portability and the possible sources of anthropogenic contamination have led to the development of intrinsic groundwater vulnerability mapping. In this study, groundwater vulnerability map for Amman Zarqa Basin (AZB) has been generated based on information derived and calculated from processed remote sensing information and laboratory analysis. The database was prepared from soil hydro geological and hydrological data, Digital Elevation Model (DEM), and geological maps. For assessment of groundwater vulnerability, the method proposed by the state geological surveys of Germany (GLA-method) has been adapted and applied. The vulnerability map shows about 77% which is about 2919 Km2 of the AZB is classified as very low to low which could be corresponding to the pollution sources due to the absence of potential hazards and also due to low vulnerabilities. These areas could consequently be interesting for future development as they set preferable in view of ground water protection. In addition, about 14% (530 km2) is classified within the moderate vulnerability zone. About 5% (around 19 km2) of the study area lies under the area of high vulnerability zone. Only 4% can be classified as very high risk areas. Groundwater quality results revealed that water leach ate from point source is the main cause for groundwater contaminations in highly vulnerable karstic limestone aquifer (Amman Wadi Es Sir Aquifer-B2/A7). On the other hand, the Kurnub Sandstone aquifer (K) is generally well protected in the central and eastern part of the AZB due to its thick cover of partly marly sequences. However, the Kurnub aquifer might have a potential risk from the recharged infiltrating surface water from the Zarqa River, which is highly polluted due to industrial activities located along the river.展开更多
Air pollution is one of the most serious hazards to humans′health nowadays,it is an invisible killer that takes many human lives every year.There are many pollutants existing in the atmosphere today,ozone being one o...Air pollution is one of the most serious hazards to humans′health nowadays,it is an invisible killer that takes many human lives every year.There are many pollutants existing in the atmosphere today,ozone being one of the most threatening pollutants.It can cause serious health damage such as wheezing,asthma,inflammation,and early mortality rates.Although air pollution could be forecasted using chemical and physical models,machine learning techniques showed promising results in this area,especially artificial neural networks.Despite its importance,there has not been any research on predicting ground-level ozone in Jordan.In this paper,we build a model for predicting ozone concentration for the next day in Amman,Jordan using a mixture of meteorological and seasonal variables of the previous day.We compare a multi-layer perceptron neural network(MLP),support vector regression(SVR),decision tree regression(DTR),and extreme gradient boosting(XGBoost)algorithms.We also explore the effect of applying various smoothing filters on the time-series data such as moving average,Holt-Winters smoothing and Savitzky-Golay filters.We find that MLP outperformed the other algorithms and that using Savitzky-Golay improved the results by 50%for coefficient of determination(R2)and 80%for root mean square error(RMSE)and mean absolute error(MAE).Another point we focus on is the variables required to predict ozone concentration.In order to reduce the time required for prediction,we perform feature selection which greatly reduces the time by 91%as well as shrinking the number of features required for prediction to the previous day values of ozone,humidity,and temperature.The final model scored 98.653%for R^2,1.016 ppb for RMSE and 0.800 ppb for MAE.展开更多
Modeling and assessment of land use/cover and its impacts play a crucial role in land use planning and formulation of sustainable land use policies. In this study, remote sensing data were used within geographic infor...Modeling and assessment of land use/cover and its impacts play a crucial role in land use planning and formulation of sustainable land use policies. In this study, remote sensing data were used within geographic information system (GIS) to map and predict land use/cover changes near Amman, where half of Jordan’s population is living. Images of Landsat TM, ETM+ and OLI were processed and visually interpreted to derive land use/cover for the years 1983, 1989, 1994, 1998, 2003 and 2013. The output maps were analyzed by using GIS and cross-tabulated to quantify land use/cover changes for the different periods. The main changes that altered the character of land use/cover in the area were the expansion of urban areas and the recession of forests, agricultural areas (after 1998) and rangelands. The Markov chain was used to predict future land use/cover, based on the historical changes during 1983-2013. Results showed that prediction of land use/cover would depend on the time interval of the multi-temporal satellite imagery from which the probability of change was derived. The error of prediction was in the range of 2%-5%, with more accurate prediction for urbanization and less accurate prediction for agricultural areas. The trends of land use/cover change showed that urban areas would expand at the expense of agricultural land and would form 33% of the study area (50 km×60 km) by year 2043. The impact of these land use/cover changes would be the increased water demand and wastewater generation in the future.展开更多
By the adoption of architecture as a means for communication and discourse between the architect and the recipient, yet current arguments took the conscious of local architect away from the uniqueness and the concerns...By the adoption of architecture as a means for communication and discourse between the architect and the recipient, yet current arguments took the conscious of local architect away from the uniqueness and the concerns of the society, as well. It also dominated its creative and educational capabilities through making him distracted in formal non-rational overestimated compositions without dealing with the concerns and needs of the society and sympathize with its affection that led to the appearance of an intellectual crisis resulted from the loss of design strategy in the current trends among some Jordanian architects. As such, not only substantial amount of the leading architectural intellect had deteriorated to formal practices but also it took another approach, becoming incomplete intellectual isolation practicing an overestimated architecture that satisfies free markets requirements which appeared along with the globalization economy. This study attempts to comparatively investigate the variation in some architectural practices as a methodology based on design readings of the previous issues which were characterized of architectural uniqueness and current issues that lack of the existing intellectual references.展开更多
Amman＇s land typology is characterized by hilly slopes, and this presents challenges and opportunities for architects and designers aiming at delivering sustainable buildings. The research focuses on the importance o...Amman＇s land typology is characterized by hilly slopes, and this presents challenges and opportunities for architects and designers aiming at delivering sustainable buildings. The research focuses on the importance of any site＇s given criteria, mainly its slope and topography on the delivery of sustainable buildings. Amman city consists broadly of two main types of buildings, apartment buildings and villas, by studying each type of building with regard to its environmental context on a given site in the city, the research seeks to identify the sustainable variables that site topography delimit or facilitate, using a set of attributes for each building type. The main objective of this research is to highlight the sustainable approach for building on sloped sites throughout the building project life-cycle in general, and to set a sustainability framework for designers during the initial design phase in particular. A number of case studies for both types of buildings are studied and analysed, and conclusions are given based on syntheses of available data from literature review or case analysis. At the end, the research provides a mechanism for the development of guidelines for sustainable and passive viability on preferred buildings orientation in hilly areas with regard to local climatic data.展开更多
In 21st?century, media become the most important factor affecting the development of urban cities, including public places. As a result of the digital revolution, re-imaging and re-linkage public places by media are e...In 21st?century, media become the most important factor affecting the development of urban cities, including public places. As a result of the digital revolution, re-imaging and re-linkage public places by media are essential to create more interactions between public spaces and users, interaction media display, and urban screens, one of the most important defined media. This interaction can transform the urban space from being neglected to be more interactive space with users, specially the pedestrians. This paper aims to identify the effects of these new digital factors to transform public spaces, and the influences of large media display on the interaction between urban spaces and pedestrians. The paper focuses on Al-Thaqafa Street as one of the neglected spaces in Amman city, and attempts to analyse this street, explains its problems, and studies the influence of these new digital factors on its transformation, to be more active and vital by pedestrians.展开更多
A design of a solar-wind electrical hybrid system to supply space heating requirements for a 1,200 m^2 residential building in Amman-Jordan was implemented. The building heating requirements were estimated from existi...A design of a solar-wind electrical hybrid system to supply space heating requirements for a 1,200 m^2 residential building in Amman-Jordan was implemented. The building heating requirements were estimated from existing heating building data based on traditional heating design already adopted by engineering firms in Jordan. The traditional heating load was transferred into electrical load to be supplied by hybrid system. The hybrid system consists of a 75 kW vertical axis windmill and 140 solar modules. Because of the high cost of land in residential buildings, the hybrid system is to be installed on the building roof. The hybrid system and the conventional systems＇ cost were found to be compatible in four years period when oil prices reach $100 per barrel. As the international price of oil rises above $100 per barrel, the proposed hybrid system becomes more economical than the already existing hot water heating system.展开更多
BACKGROUND Cervical cancer is a formidable global health issue,particularly affecting women in lower-middle-income countries with little or no access to preventative vaccines,screening programs,and treatment modalitie...BACKGROUND Cervical cancer is a formidable global health issue,particularly affecting women in lower-middle-income countries with little or no access to preventative vaccines,screening programs,and treatment modalities.The case report presents a unique case of a large cervical cancer achieving complete response(CR)with concurrent chemoradiotherapy(CCRT),highlighting the effectiveness of this treatment approach even in advanced stages and underscoring the importance of adaptive radiotherapy(RT)in optimizing patient outcomes.CASE SUMMARY We present the case of a 53-year-old woman who presented with four years of abnormal vaginal bleeding and was found to have p16-positive,moderately differentiated cervical squamous cell carcinoma.The tumor measured 14 cm×12 cm×8 cm,the largest size reported in the literature to achieve CR with CCRT.Despite this monumental feat,the patient remained disease-free and is currently on follow-up for 2 years;however,she continued to suffer from substantial morbidity caused by a vesicovaginal fistula and hydronephrosis,underscoring the continuing impact of cervical cancer on quality of life.CONCLUSION In this case report,we highlight the effectiveness of CCRT in achieving CR,even in cases of bulky cervical cancer,with adaptive RT offering a customized strategy to improve patient outcomes.We also emphasize the necessity for multidisciplinary team discussions and highlight the need for strategies to mitigate treatment-related toxicities and long-term complications.展开更多
BACKGROUND Chronic kidney disease(CKD)is an incapacitating illness associated with distressing symptoms(DS)that have negative impact on patients’health-related quality of life(HRQOL).AIM To assess the severity of DS ...BACKGROUND Chronic kidney disease(CKD)is an incapacitating illness associated with distressing symptoms(DS)that have negative impact on patients’health-related quality of life(HRQOL).AIM To assess the severity of DS and their relationships with HRQOL among patients with CKD in Jordan.METHODS A descriptive cross-sectional design was used.A convenience sampling approach was used to recruit the participants.Patients with CKD(n=140)who visited the outpatient clinics in four hospitals in Amman between November 2021 and December 2021 were included.RESULTS The Edmonton Symptom Assessment System was used to measure the severity of the DS while the Short Form-36 tool was used to measure the HRQOL.Participants’mean age was 50.9(SD=15.14).Most of them were males(n=92,65.7%),married(n=95,67.9%),and unemployed(n=93,66.4%).The highest DS were tiredness(mean=4.68,SD=2.98)and worse well-being(mean=3.69,SD=2.43).The highest HRQOL mean score was for the bodily pain scale with a mean score of 68.50 out of 100(SD=32.02)followed by the emotional well-being scale with mean score of 67.60(SD=18.57).CONCLUSION Patients with CKD had suboptimal HRQOL,physically and mentally.They suffer from multiple DS that have a strong association with diminished HRQOL such as tiredness and depression.Therefore,healthcare providers should be equipped with the essential knowledge and skills to promote individualized strategies that focusing on symptom management.展开更多
Amman,the capital of Jordan,has been subjected to incremental spatial transformation under the pressure of the emerging migration of various refugees since the beginning of the Syrian conflict(2011-present).Only 17%of...Amman,the capital of Jordan,has been subjected to incremental spatial transformation under the pressure of the emerging migration of various refugees since the beginning of the Syrian conflict(2011-present).Only 17%of the Syrian refugee influx to Jordan resides in camps.Amman hosts 28%of non-camp refugees(NCRs)who are living in urban areas and creating multiple forms of urban settlements.Diverse forms of NCR settlements are emerging extensively in Eastern Amman districts.These settlements are contributing to new morphological structures and leading to a gradual spatial change-socially and physically.This research intends to contribute to the increasing amount of available data by improving the understanding of the socio-spatial patterns of Syrian NCR settlements and providing insights,forecasts,and recommendations regarding this pressing issue on the basis of overall trends.Comprehensively contextualized areas in Amman were mapped,and after considering specific siteselection criteria,Jubilee Neighborhood was selected.Jubilee was built by the government in 1985 for low-income Jordanian families.This study aims to unravel one layer of the complex multilayered Amman City.It intends to explore and describe the urban forms of NCR settlements in Jubilee Neighborhood as a case study by interrelating spatial,social,and physical concepts.In addition,this study extensively uses rigorous qualitative and traditional methods.The outcome of this study is a comprehensive and descriptive spatial analysis that can provide socio-spatial interpretations and recommend urban response policies to cope with the future spatial transformation of urban forms.展开更多
BACKGROUND Congenital hypothyroidism(CH)is a prevalent childhood endocrine disorder associated with irreversible neurological consequences.Its global incidence is on the rise.AIM To estimate CH incidence in Jordan and...BACKGROUND Congenital hypothyroidism(CH)is a prevalent childhood endocrine disorder associated with irreversible neurological consequences.Its global incidence is on the rise.AIM To estimate CH incidence in Jordan and assess the potential utility of incorporating(fT4)measurements into the screening process.METHODS This retrospective analysis examined thyroid function test results for infants born at our center between 2016 and 2020.Infants born before 28 weeks and those screened after 14 days of life were excluded.Screening occurred between days 3 and 7 of life,and thyroid-stimulating hormone(TSH)and T4 levels were measured concurrently from peripheral venipuncture blood samples.A TSH cutoff of<5 mIU/L was considered normal.Values between 5 and 20 mIU/L were equivocal,requiring repeat tests.TSH levels exceeding 20 mIU/L were considered critical.RESULTS A total of 10521 infants were included in the study,and 26 were diagnosed with CH,yielding an incidence of 1 in 400 live births.Females constituted 57.7%of CH cases.All CH cases had initial TSH values exceeding 5.0 mIU/L,with clustering above 20 mIU/L.Six CH infants had Down syndrome,accounting for 23.1%of CH cases.CONCLUSION Our study revealed a high incidence of CH in Jordan,marking a significant increase from previously reported rates.We recommend a national study to investigate risk factors and underlying causes of CH in our population.Furthermore,we advocate for the use of TSH alone with a cutoff value of<5 mIU/L for screening purposes.展开更多
The increasing deployment of Internet of Things(IoT)devices has introduced significant security chal-lenges,including identity spoofing,unauthorized access,and data integrity breaches.Traditional security mechanisms r...The increasing deployment of Internet of Things(IoT)devices has introduced significant security chal-lenges,including identity spoofing,unauthorized access,and data integrity breaches.Traditional security mechanisms rely on centralized frameworks that suffer from single points of failure,scalability issues,and inefficiencies in real-time security enforcement.To address these limitations,this study proposes the Blockchain-Enhanced Trust and Access Control for IoT Security(BETAC-IoT)model,which integrates blockchain technology,smart contracts,federated learning,and Merkle tree-based integrity verification to enhance IoT security.The proposed model eliminates reliance on centralized authentication by employing decentralized identity management,ensuring tamper-proof data storage,and automating access control through smart contracts.Experimental evaluation using a synthetic IoT dataset shows that the BETAC-IoT model improves access control enforcement accuracy by 92%,reduces device authentication time by 52%(from 2.5 to 1.2 s),and enhances threat detection efficiency by 7%(from 85%to 92%)using federated learning.Additionally,the hybrid blockchain architecture achieves a 300%increase in transaction throughput when comparing private blockchain performance(1200 TPS)to public chains(300 TPS).Access control enforcement accuracy was quantified through confusion matrix analysis,with high precision and minimal false positives observed across access decision categories.Although the model presents advantages in security and scalability,challenges such as computational overhead,blockchain storage constraints,and interoperability with existing IoT systems remain areas for future research.This study contributes to advancing decentralized security frameworks for IoT,providing a resilient and scalable solution for securing connected environments.展开更多
BACKGROUND Roberts syndrome(RS)is a rare autosomal recessive cohesinopathy caused by biallelic mutations in ESCO2,essential for sister chromatid cohesion and genomic stability.Clinically,RS manifests as severe pre-and...BACKGROUND Roberts syndrome(RS)is a rare autosomal recessive cohesinopathy caused by biallelic mutations in ESCO2,essential for sister chromatid cohesion and genomic stability.Clinically,RS manifests as severe pre-and postnatal growth restriction,tetraphocomelia,craniofacial anomalies,and variable visceral organ malformations.Prenatal suspicion is often raised by ultrasonographic evidence of limb reduction and fetal hypotrophy.However,diagnosis remains elusive without molecular confirmation.This case underscores the diagnostic and prognostic value of next-generation sequencing in suspected RS,particularly within consanguineous populations where autosomal recessive conditions are more prevalent.CASE SUMMARY A four-month-old male infant,born to consanguineous parents,was referred for evaluation of multiple congenital anomalies.Prenatal ultrasonography demonstrated significant intrauterine growth restriction,bilateral upper limb absence of radius and ulna at 22 weeks,and unilateral renal pelvis dilation at 38 weeks.Postnatal findings included bilateral phocomelia,thumb aplasia,and flexion contractures at the elbows and knees.Physical examination revealed features consistent with cohesinopathy.Whole exome sequencing identified a homozygous pathogenic variant in ESCO2,confirming RS.Multisystemic involvement warranted early multidisciplinary coordination and genetic counseling for recurrence risk.CONCLUSION This case supports redefining isolated limb anomalies as early indicators warranting targeted prenatal genetic screening for cohesinopathies like RS.展开更多
This paper addresses the problem of a viscoelastic Euler-Bernoulli beam under the influence of a constant velocity moving mass and different types of appendages.Four types of boundary conditions are considered:pinned-...This paper addresses the problem of a viscoelastic Euler-Bernoulli beam under the influence of a constant velocity moving mass and different types of appendages.Four types of boundary conditions are considered:pinned-pinned,fixed-pinned,fixed-free(or cantilever),and fixed-fixed.Appendages considered include lumped masses,dampers,and springs.The modal decomposition method is employed to derive the equation of motion of the beam,for which an analytical closed-form expression of the dynamic vibration response is generated.The proposed method enables the study of the effect of a single appendage or a combination of the three types of appendages on the non-dimensional dynamic response of the beam.Numerical examples are presented to illustrate the effects of these appendages and compare them to the reference cases of a beam with no appendages.The results demonstrate the importance of considering these parameters in the design of structures.The proposed method is compared to other techniques in the literature and found to be advantageous due to its direct approach.The method also offers a versatile tool for investigating various configurations,aiding in engineering design and structural analysis for which establishing a precise prediction of beam vibrations is crucial.展开更多
BACKGROUND Machine learning(ML),a major branch of artificial intelligence,has not only demonstrated the potential to significantly improve numerous sectors of healthcare but has also made significant contributions to ...BACKGROUND Machine learning(ML),a major branch of artificial intelligence,has not only demonstrated the potential to significantly improve numerous sectors of healthcare but has also made significant contributions to the field of solid organ transplantation.ML provides revolutionary opportunities in areas such as donorrecipient matching,post-transplant monitoring,and patient care by automatically analyzing large amounts of data,identifying patterns,and forecasting outcomes.AIM To conduct a comprehensive bibliometric analysis of publications on the use of ML in transplantation to understand current research trends and their implications.METHODS On July 18,a thorough search strategy was used with the Web of Science database.ML and transplantation-related keywords were utilized.With the aid of the VOS viewer application,the identified articles were subjected to bibliometric variable analysis in order to determine publication counts,citation counts,contributing countries,and institutions,among other factors.RESULTS Of the 529 articles that were first identified,427 were deemed relevant for bibliometric analysis.A surge in publications was observed over the last four years,especially after 2018,signifying growing interest in this area.With 209 publications,the United States emerged as the top contributor.Notably,the"Journal of Heart and Lung Transplantation"and the"American Journal of Transplantation"emerged as the leading journals,publishing the highest number of relevant articles.Frequent keyword searches revealed that patient survival,mortality,outcomes,allocation,and risk assessment were significant themes of focus.CONCLUSION The growing body of pertinent publications highlights ML's growing presence in the field of solid organ transplantation.This bibliometric analysis highlights the growing importance of ML in transplant research and highlights its exciting potential to change medical practices and enhance patient outcomes.Encouraging collaboration between significant contributors can potentially fast-track advancements in this interdisciplinary domain.展开更多
BACKGROUND Artificial intelligence(AI)has become significantly integrated into healthcare,particularly in the diag-nosing of neurological disorders.This advancement has enabled neurologists and physicians to diagnose ...BACKGROUND Artificial intelligence(AI)has become significantly integrated into healthcare,particularly in the diag-nosing of neurological disorders.This advancement has enabled neurologists and physicians to diagnose conditions more quickly and effectively,ultimately benefiting patients.AIM To explore the current status and key highlights of AI-related articles in diagnosing of neurological disorders.METHODS A systematic literature review was conducted in the Web of Science Core Collection database using the following strategy:TS=("Artificial Intelligence"OR"Computational Intelligence"OR"Machine Learning"OR"AI")AND TS=("Neurological disorders"OR"CNS disorder"AND"diagnosis").The search was limited to articles and reviews.Microsoft Excel 2019 and VOSviewer were utilized to identify major contributors,including authors,institutions,countries,and journals.Additionally,VOSviewer was employed to analyze and visualize current trends and hot topics through network visualization maps.RESULTS A total of 276 publications from 2000 to 2024 were retrieved.The United States,India,and China emerged as the top contributors in this field.Major institutions included Johns Hopkins University,King's College London,and Harvard Medical School.The most prolific author was U.Rajendra Acharya from the University of Southern Queensland(Australia).Among journals,IEEE Access,Scientific Reports,and Sensors were the most productive,while Frontiers in Neuroscience led in total citations.Central topics in AI-related articles on neurological disorders diagnosis included Alzheimer's disease,Parkinson's disease,dementia,epilepsy,autism,attention deficit hyperactivity disorder,and their intersections with deep learning and AI.CONCLUSION Research on AI's role in diagnosing neurological disorders is becoming widely recognized for its growing importance.AI shows promise in diagnosing various neurological disorders,yet requires further improvement and extensive future research.展开更多
BACKGROUND Acute kidney injury is characterized by a sudden decline in renal function,often due to ischemia or nephrotoxins,leading to increased oxidative stress and inflam-mation.AIM To investigate the protective eff...BACKGROUND Acute kidney injury is characterized by a sudden decline in renal function,often due to ischemia or nephrotoxins,leading to increased oxidative stress and inflam-mation.AIM To investigate the protective effects of adipose-derived mesenchymal stromal cell(ADMSC)secretome on renal tubular epithelial cells(NRK-52E)as an in vitro model of oxidative stress-associated kidney injury.METHODS ADMSCs were isolated from human adipose tissue and characterized for mesenchymal markers and differentiation potential.Conditioned media(CM)was collected after 48-hour serum-free culture and applied to serum-deprived NRK-52E cells for 48 hours.Cell viability was assessed using the MTT assay,apoptosis was assessed by Annexin V-FITC/PI staining and flow cytometry,reactive oxygen species(ROS)levels via H2DCFDA staining,and mitochondrial membrane potential by the tetramethylrhodamine ethyl ester assay.The expression of heme oxygenase-1(HO-1),nuclear factor erythroid 2-related factor 2(Nrf2),and NAD(P)H quinone dehydrogenase 1(Nqo1)genes was quantified by quantitative polymerase chain reaction.Comparative transcriptomic analysis was performed on ADMSCs and bone marrow-derived MSCs(BM-MSCs)using publicly available microarray data(GSE108511).RESULTS ADMSC secretome significantly reduced ROS production and enhanced mitochondrial membrane potential in NRK cells.Gene expression analysis revealed a significant upregulation of HO-1 mRNA levels in ADMSC-CM treated cells.However,no significant changes were observed in Nrf2 and Nqo1 mRNA levels.Transcriptome analysis of ADMSCs against BM-MSCs revealed significant differences in the expression of genes related to oxidative stress response,antioxidant activity,and mitochondrial function.CONCLUSION The results of this study suggest that the ADMSC secretome exerts multifaceted protective effects on NRK cells by reducing oxidative stress and enhancing mitochondrial function.The study demonstrates the potential beneficial applications of the ADMSC secretome in treating oxidative stress-related kidney injuries.展开更多
This research presents a novel nature-inspired metaheuristic optimization algorithm,called theNarwhale Optimization Algorithm(NWOA).The algorithm draws inspiration from the foraging and prey-hunting strategies of narw...This research presents a novel nature-inspired metaheuristic optimization algorithm,called theNarwhale Optimization Algorithm(NWOA).The algorithm draws inspiration from the foraging and prey-hunting strategies of narwhals,“unicorns of the sea”,particularly the use of their distinctive spiral tusks,which play significant roles in hunting,searching prey,navigation,echolocation,and complex social interaction.Particularly,the NWOA imitates the foraging strategies and techniques of narwhals when hunting for prey but focuses mainly on the cooperative and exploratory behavior shown during group hunting and in the use of their tusks in sensing and locating prey under the Arctic ice.These functions provide a strong assessment basis for investigating the algorithm’s prowess at balancing exploration and exploitation,convergence speed,and solution accuracy.The performance of the NWOA is evaluated on 30 benchmark test functions.A comparison study using the Grey Wolf Optimizer(GWO),Whale Optimization Algorithm(WOA),Perfumer Optimization Algorithm(POA),Candle Flame Optimization(CFO)Algorithm,Particle Swarm Optimization(PSO)Algorithm,and Genetic Algorithm(GA)validates the results.As evidenced in the experimental results,NWOA is capable of yielding competitive outcomes among these well-known optimizers,whereas in several instances.These results suggest thatNWOAhas proven to be an effective and robust optimization tool suitable for solving many different complex optimization problems from the real world.展开更多
文摘The paper aims to analyze land use/land cover (LULC) changes in western part and the populated area of Amman governorate and to identify the process of urbanization and urban expansion within the study area for the period of 1984-2014. It also aims to predict future LULC map for the year 2030 using Markov Model to provide city planners and decision makers with information about the past and current spatial dynamics of LULC change and strictly urban expansion towards successful management and better planning in the future. Images from Landsat 5-TM for the years 1984, 1999 and from Landsat 8-OLI for the year 2014 were used to investigate LULC within the study area during 1984-2014 and the resulted LULC maps in 1999 and 2014 were used to predict future LULC map based on Markov Model. The results indicated that the urban/built up area expanded by 147% during the period from 1984 to 2014 and predicted to expand by 43.9% from 2014 to 2030 based on Markov model predictions. The areas in the western, northwest and southwest parts of Amman as well as the areas of Marka and Uhud, the northeast of the study area, were predicted to witness the major urban expansion in 2030. And these are the areas where city planners and decision makers should take into consideration in future plans of Amman. The urban expansion was mainly attributed to the high population growth rate and large number of immigrants from neighboring countries and other socio-economic changes.
文摘Rapid urbanization and population growth of the Amman Area were combined with land resource degradation when the city was heading for mounting urbanization from the early 1950s. The deterioration of natural resources and green areas, was coupled with the creation of different urban public open spaces in the city. The transformation from large single-family houses to dense residential apartments was associated with social and behavioral changes among the inhabitants living in the dense apartments. Consequently, a large private sector has been developed to provide public and social spaces. Photo-interpretation and satellite images were used to map and characterize land use/cover changes have been occurred in the Amman area between 1953 and 2017. Maximum Likelihood Classification method was employed to identify land use/cover changes between 1986 and 20017, and GIS was utilized also to map examples of the recently emerged socio-economic open spaces. Excessive urban development in the last two decades, and the adoption of neo-liberal privatization policies by the government, enhanced social stratification and residential segregation. So, instead of encouraging outdoor activity and social interaction among all groups of Amman residents, the freedom of accessibility to major open spaces has been restricted within the same urban fabric, thus, the “two Ammans” paradigm, a “tale of two cities”, has been recently acknowledged.
文摘The importance of groundwater portability and the possible sources of anthropogenic contamination have led to the development of intrinsic groundwater vulnerability mapping. In this study, groundwater vulnerability map for Amman Zarqa Basin (AZB) has been generated based on information derived and calculated from processed remote sensing information and laboratory analysis. The database was prepared from soil hydro geological and hydrological data, Digital Elevation Model (DEM), and geological maps. For assessment of groundwater vulnerability, the method proposed by the state geological surveys of Germany (GLA-method) has been adapted and applied. The vulnerability map shows about 77% which is about 2919 Km2 of the AZB is classified as very low to low which could be corresponding to the pollution sources due to the absence of potential hazards and also due to low vulnerabilities. These areas could consequently be interesting for future development as they set preferable in view of ground water protection. In addition, about 14% (530 km2) is classified within the moderate vulnerability zone. About 5% (around 19 km2) of the study area lies under the area of high vulnerability zone. Only 4% can be classified as very high risk areas. Groundwater quality results revealed that water leach ate from point source is the main cause for groundwater contaminations in highly vulnerable karstic limestone aquifer (Amman Wadi Es Sir Aquifer-B2/A7). On the other hand, the Kurnub Sandstone aquifer (K) is generally well protected in the central and eastern part of the AZB due to its thick cover of partly marly sequences. However, the Kurnub aquifer might have a potential risk from the recharged infiltrating surface water from the Zarqa River, which is highly polluted due to industrial activities located along the river.
文摘Air pollution is one of the most serious hazards to humans′health nowadays,it is an invisible killer that takes many human lives every year.There are many pollutants existing in the atmosphere today,ozone being one of the most threatening pollutants.It can cause serious health damage such as wheezing,asthma,inflammation,and early mortality rates.Although air pollution could be forecasted using chemical and physical models,machine learning techniques showed promising results in this area,especially artificial neural networks.Despite its importance,there has not been any research on predicting ground-level ozone in Jordan.In this paper,we build a model for predicting ozone concentration for the next day in Amman,Jordan using a mixture of meteorological and seasonal variables of the previous day.We compare a multi-layer perceptron neural network(MLP),support vector regression(SVR),decision tree regression(DTR),and extreme gradient boosting(XGBoost)algorithms.We also explore the effect of applying various smoothing filters on the time-series data such as moving average,Holt-Winters smoothing and Savitzky-Golay filters.We find that MLP outperformed the other algorithms and that using Savitzky-Golay improved the results by 50%for coefficient of determination(R2)and 80%for root mean square error(RMSE)and mean absolute error(MAE).Another point we focus on is the variables required to predict ozone concentration.In order to reduce the time required for prediction,we perform feature selection which greatly reduces the time by 91%as well as shrinking the number of features required for prediction to the previous day values of ozone,humidity,and temperature.The final model scored 98.653%for R^2,1.016 ppb for RMSE and 0.800 ppb for MAE.
文摘Modeling and assessment of land use/cover and its impacts play a crucial role in land use planning and formulation of sustainable land use policies. In this study, remote sensing data were used within geographic information system (GIS) to map and predict land use/cover changes near Amman, where half of Jordan’s population is living. Images of Landsat TM, ETM+ and OLI were processed and visually interpreted to derive land use/cover for the years 1983, 1989, 1994, 1998, 2003 and 2013. The output maps were analyzed by using GIS and cross-tabulated to quantify land use/cover changes for the different periods. The main changes that altered the character of land use/cover in the area were the expansion of urban areas and the recession of forests, agricultural areas (after 1998) and rangelands. The Markov chain was used to predict future land use/cover, based on the historical changes during 1983-2013. Results showed that prediction of land use/cover would depend on the time interval of the multi-temporal satellite imagery from which the probability of change was derived. The error of prediction was in the range of 2%-5%, with more accurate prediction for urbanization and less accurate prediction for agricultural areas. The trends of land use/cover change showed that urban areas would expand at the expense of agricultural land and would form 33% of the study area (50 km×60 km) by year 2043. The impact of these land use/cover changes would be the increased water demand and wastewater generation in the future.
文摘By the adoption of architecture as a means for communication and discourse between the architect and the recipient, yet current arguments took the conscious of local architect away from the uniqueness and the concerns of the society, as well. It also dominated its creative and educational capabilities through making him distracted in formal non-rational overestimated compositions without dealing with the concerns and needs of the society and sympathize with its affection that led to the appearance of an intellectual crisis resulted from the loss of design strategy in the current trends among some Jordanian architects. As such, not only substantial amount of the leading architectural intellect had deteriorated to formal practices but also it took another approach, becoming incomplete intellectual isolation practicing an overestimated architecture that satisfies free markets requirements which appeared along with the globalization economy. This study attempts to comparatively investigate the variation in some architectural practices as a methodology based on design readings of the previous issues which were characterized of architectural uniqueness and current issues that lack of the existing intellectual references.
文摘Amman＇s land typology is characterized by hilly slopes, and this presents challenges and opportunities for architects and designers aiming at delivering sustainable buildings. The research focuses on the importance of any site＇s given criteria, mainly its slope and topography on the delivery of sustainable buildings. Amman city consists broadly of two main types of buildings, apartment buildings and villas, by studying each type of building with regard to its environmental context on a given site in the city, the research seeks to identify the sustainable variables that site topography delimit or facilitate, using a set of attributes for each building type. The main objective of this research is to highlight the sustainable approach for building on sloped sites throughout the building project life-cycle in general, and to set a sustainability framework for designers during the initial design phase in particular. A number of case studies for both types of buildings are studied and analysed, and conclusions are given based on syntheses of available data from literature review or case analysis. At the end, the research provides a mechanism for the development of guidelines for sustainable and passive viability on preferred buildings orientation in hilly areas with regard to local climatic data.
文摘In 21st?century, media become the most important factor affecting the development of urban cities, including public places. As a result of the digital revolution, re-imaging and re-linkage public places by media are essential to create more interactions between public spaces and users, interaction media display, and urban screens, one of the most important defined media. This interaction can transform the urban space from being neglected to be more interactive space with users, specially the pedestrians. This paper aims to identify the effects of these new digital factors to transform public spaces, and the influences of large media display on the interaction between urban spaces and pedestrians. The paper focuses on Al-Thaqafa Street as one of the neglected spaces in Amman city, and attempts to analyse this street, explains its problems, and studies the influence of these new digital factors on its transformation, to be more active and vital by pedestrians.
文摘A design of a solar-wind electrical hybrid system to supply space heating requirements for a 1,200 m^2 residential building in Amman-Jordan was implemented. The building heating requirements were estimated from existing heating building data based on traditional heating design already adopted by engineering firms in Jordan. The traditional heating load was transferred into electrical load to be supplied by hybrid system. The hybrid system consists of a 75 kW vertical axis windmill and 140 solar modules. Because of the high cost of land in residential buildings, the hybrid system is to be installed on the building roof. The hybrid system and the conventional systems＇ cost were found to be compatible in four years period when oil prices reach $100 per barrel. As the international price of oil rises above $100 per barrel, the proposed hybrid system becomes more economical than the already existing hot water heating system.
文摘BACKGROUND Cervical cancer is a formidable global health issue,particularly affecting women in lower-middle-income countries with little or no access to preventative vaccines,screening programs,and treatment modalities.The case report presents a unique case of a large cervical cancer achieving complete response(CR)with concurrent chemoradiotherapy(CCRT),highlighting the effectiveness of this treatment approach even in advanced stages and underscoring the importance of adaptive radiotherapy(RT)in optimizing patient outcomes.CASE SUMMARY We present the case of a 53-year-old woman who presented with four years of abnormal vaginal bleeding and was found to have p16-positive,moderately differentiated cervical squamous cell carcinoma.The tumor measured 14 cm×12 cm×8 cm,the largest size reported in the literature to achieve CR with CCRT.Despite this monumental feat,the patient remained disease-free and is currently on follow-up for 2 years;however,she continued to suffer from substantial morbidity caused by a vesicovaginal fistula and hydronephrosis,underscoring the continuing impact of cervical cancer on quality of life.CONCLUSION In this case report,we highlight the effectiveness of CCRT in achieving CR,even in cases of bulky cervical cancer,with adaptive RT offering a customized strategy to improve patient outcomes.We also emphasize the necessity for multidisciplinary team discussions and highlight the need for strategies to mitigate treatment-related toxicities and long-term complications.
文摘BACKGROUND Chronic kidney disease(CKD)is an incapacitating illness associated with distressing symptoms(DS)that have negative impact on patients’health-related quality of life(HRQOL).AIM To assess the severity of DS and their relationships with HRQOL among patients with CKD in Jordan.METHODS A descriptive cross-sectional design was used.A convenience sampling approach was used to recruit the participants.Patients with CKD(n=140)who visited the outpatient clinics in four hospitals in Amman between November 2021 and December 2021 were included.RESULTS The Edmonton Symptom Assessment System was used to measure the severity of the DS while the Short Form-36 tool was used to measure the HRQOL.Participants’mean age was 50.9(SD=15.14).Most of them were males(n=92,65.7%),married(n=95,67.9%),and unemployed(n=93,66.4%).The highest DS were tiredness(mean=4.68,SD=2.98)and worse well-being(mean=3.69,SD=2.43).The highest HRQOL mean score was for the bodily pain scale with a mean score of 68.50 out of 100(SD=32.02)followed by the emotional well-being scale with mean score of 67.60(SD=18.57).CONCLUSION Patients with CKD had suboptimal HRQOL,physically and mentally.They suffer from multiple DS that have a strong association with diminished HRQOL such as tiredness and depression.Therefore,healthcare providers should be equipped with the essential knowledge and skills to promote individualized strategies that focusing on symptom management.
文摘Amman,the capital of Jordan,has been subjected to incremental spatial transformation under the pressure of the emerging migration of various refugees since the beginning of the Syrian conflict(2011-present).Only 17%of the Syrian refugee influx to Jordan resides in camps.Amman hosts 28%of non-camp refugees(NCRs)who are living in urban areas and creating multiple forms of urban settlements.Diverse forms of NCR settlements are emerging extensively in Eastern Amman districts.These settlements are contributing to new morphological structures and leading to a gradual spatial change-socially and physically.This research intends to contribute to the increasing amount of available data by improving the understanding of the socio-spatial patterns of Syrian NCR settlements and providing insights,forecasts,and recommendations regarding this pressing issue on the basis of overall trends.Comprehensively contextualized areas in Amman were mapped,and after considering specific siteselection criteria,Jubilee Neighborhood was selected.Jubilee was built by the government in 1985 for low-income Jordanian families.This study aims to unravel one layer of the complex multilayered Amman City.It intends to explore and describe the urban forms of NCR settlements in Jubilee Neighborhood as a case study by interrelating spatial,social,and physical concepts.In addition,this study extensively uses rigorous qualitative and traditional methods.The outcome of this study is a comprehensive and descriptive spatial analysis that can provide socio-spatial interpretations and recommend urban response policies to cope with the future spatial transformation of urban forms.
文摘BACKGROUND Congenital hypothyroidism(CH)is a prevalent childhood endocrine disorder associated with irreversible neurological consequences.Its global incidence is on the rise.AIM To estimate CH incidence in Jordan and assess the potential utility of incorporating(fT4)measurements into the screening process.METHODS This retrospective analysis examined thyroid function test results for infants born at our center between 2016 and 2020.Infants born before 28 weeks and those screened after 14 days of life were excluded.Screening occurred between days 3 and 7 of life,and thyroid-stimulating hormone(TSH)and T4 levels were measured concurrently from peripheral venipuncture blood samples.A TSH cutoff of<5 mIU/L was considered normal.Values between 5 and 20 mIU/L were equivocal,requiring repeat tests.TSH levels exceeding 20 mIU/L were considered critical.RESULTS A total of 10521 infants were included in the study,and 26 were diagnosed with CH,yielding an incidence of 1 in 400 live births.Females constituted 57.7%of CH cases.All CH cases had initial TSH values exceeding 5.0 mIU/L,with clustering above 20 mIU/L.Six CH infants had Down syndrome,accounting for 23.1%of CH cases.CONCLUSION Our study revealed a high incidence of CH in Jordan,marking a significant increase from previously reported rates.We recommend a national study to investigate risk factors and underlying causes of CH in our population.Furthermore,we advocate for the use of TSH alone with a cutoff value of<5 mIU/L for screening purposes.
文摘The increasing deployment of Internet of Things(IoT)devices has introduced significant security chal-lenges,including identity spoofing,unauthorized access,and data integrity breaches.Traditional security mechanisms rely on centralized frameworks that suffer from single points of failure,scalability issues,and inefficiencies in real-time security enforcement.To address these limitations,this study proposes the Blockchain-Enhanced Trust and Access Control for IoT Security(BETAC-IoT)model,which integrates blockchain technology,smart contracts,federated learning,and Merkle tree-based integrity verification to enhance IoT security.The proposed model eliminates reliance on centralized authentication by employing decentralized identity management,ensuring tamper-proof data storage,and automating access control through smart contracts.Experimental evaluation using a synthetic IoT dataset shows that the BETAC-IoT model improves access control enforcement accuracy by 92%,reduces device authentication time by 52%(from 2.5 to 1.2 s),and enhances threat detection efficiency by 7%(from 85%to 92%)using federated learning.Additionally,the hybrid blockchain architecture achieves a 300%increase in transaction throughput when comparing private blockchain performance(1200 TPS)to public chains(300 TPS).Access control enforcement accuracy was quantified through confusion matrix analysis,with high precision and minimal false positives observed across access decision categories.Although the model presents advantages in security and scalability,challenges such as computational overhead,blockchain storage constraints,and interoperability with existing IoT systems remain areas for future research.This study contributes to advancing decentralized security frameworks for IoT,providing a resilient and scalable solution for securing connected environments.
文摘BACKGROUND Roberts syndrome(RS)is a rare autosomal recessive cohesinopathy caused by biallelic mutations in ESCO2,essential for sister chromatid cohesion and genomic stability.Clinically,RS manifests as severe pre-and postnatal growth restriction,tetraphocomelia,craniofacial anomalies,and variable visceral organ malformations.Prenatal suspicion is often raised by ultrasonographic evidence of limb reduction and fetal hypotrophy.However,diagnosis remains elusive without molecular confirmation.This case underscores the diagnostic and prognostic value of next-generation sequencing in suspected RS,particularly within consanguineous populations where autosomal recessive conditions are more prevalent.CASE SUMMARY A four-month-old male infant,born to consanguineous parents,was referred for evaluation of multiple congenital anomalies.Prenatal ultrasonography demonstrated significant intrauterine growth restriction,bilateral upper limb absence of radius and ulna at 22 weeks,and unilateral renal pelvis dilation at 38 weeks.Postnatal findings included bilateral phocomelia,thumb aplasia,and flexion contractures at the elbows and knees.Physical examination revealed features consistent with cohesinopathy.Whole exome sequencing identified a homozygous pathogenic variant in ESCO2,confirming RS.Multisystemic involvement warranted early multidisciplinary coordination and genetic counseling for recurrence risk.CONCLUSION This case supports redefining isolated limb anomalies as early indicators warranting targeted prenatal genetic screening for cohesinopathies like RS.
文摘This paper addresses the problem of a viscoelastic Euler-Bernoulli beam under the influence of a constant velocity moving mass and different types of appendages.Four types of boundary conditions are considered:pinned-pinned,fixed-pinned,fixed-free(or cantilever),and fixed-fixed.Appendages considered include lumped masses,dampers,and springs.The modal decomposition method is employed to derive the equation of motion of the beam,for which an analytical closed-form expression of the dynamic vibration response is generated.The proposed method enables the study of the effect of a single appendage or a combination of the three types of appendages on the non-dimensional dynamic response of the beam.Numerical examples are presented to illustrate the effects of these appendages and compare them to the reference cases of a beam with no appendages.The results demonstrate the importance of considering these parameters in the design of structures.The proposed method is compared to other techniques in the literature and found to be advantageous due to its direct approach.The method also offers a versatile tool for investigating various configurations,aiding in engineering design and structural analysis for which establishing a precise prediction of beam vibrations is crucial.
文摘BACKGROUND Machine learning(ML),a major branch of artificial intelligence,has not only demonstrated the potential to significantly improve numerous sectors of healthcare but has also made significant contributions to the field of solid organ transplantation.ML provides revolutionary opportunities in areas such as donorrecipient matching,post-transplant monitoring,and patient care by automatically analyzing large amounts of data,identifying patterns,and forecasting outcomes.AIM To conduct a comprehensive bibliometric analysis of publications on the use of ML in transplantation to understand current research trends and their implications.METHODS On July 18,a thorough search strategy was used with the Web of Science database.ML and transplantation-related keywords were utilized.With the aid of the VOS viewer application,the identified articles were subjected to bibliometric variable analysis in order to determine publication counts,citation counts,contributing countries,and institutions,among other factors.RESULTS Of the 529 articles that were first identified,427 were deemed relevant for bibliometric analysis.A surge in publications was observed over the last four years,especially after 2018,signifying growing interest in this area.With 209 publications,the United States emerged as the top contributor.Notably,the"Journal of Heart and Lung Transplantation"and the"American Journal of Transplantation"emerged as the leading journals,publishing the highest number of relevant articles.Frequent keyword searches revealed that patient survival,mortality,outcomes,allocation,and risk assessment were significant themes of focus.CONCLUSION The growing body of pertinent publications highlights ML's growing presence in the field of solid organ transplantation.This bibliometric analysis highlights the growing importance of ML in transplant research and highlights its exciting potential to change medical practices and enhance patient outcomes.Encouraging collaboration between significant contributors can potentially fast-track advancements in this interdisciplinary domain.
文摘BACKGROUND Artificial intelligence(AI)has become significantly integrated into healthcare,particularly in the diag-nosing of neurological disorders.This advancement has enabled neurologists and physicians to diagnose conditions more quickly and effectively,ultimately benefiting patients.AIM To explore the current status and key highlights of AI-related articles in diagnosing of neurological disorders.METHODS A systematic literature review was conducted in the Web of Science Core Collection database using the following strategy:TS=("Artificial Intelligence"OR"Computational Intelligence"OR"Machine Learning"OR"AI")AND TS=("Neurological disorders"OR"CNS disorder"AND"diagnosis").The search was limited to articles and reviews.Microsoft Excel 2019 and VOSviewer were utilized to identify major contributors,including authors,institutions,countries,and journals.Additionally,VOSviewer was employed to analyze and visualize current trends and hot topics through network visualization maps.RESULTS A total of 276 publications from 2000 to 2024 were retrieved.The United States,India,and China emerged as the top contributors in this field.Major institutions included Johns Hopkins University,King's College London,and Harvard Medical School.The most prolific author was U.Rajendra Acharya from the University of Southern Queensland(Australia).Among journals,IEEE Access,Scientific Reports,and Sensors were the most productive,while Frontiers in Neuroscience led in total citations.Central topics in AI-related articles on neurological disorders diagnosis included Alzheimer's disease,Parkinson's disease,dementia,epilepsy,autism,attention deficit hyperactivity disorder,and their intersections with deep learning and AI.CONCLUSION Research on AI's role in diagnosing neurological disorders is becoming widely recognized for its growing importance.AI shows promise in diagnosing various neurological disorders,yet requires further improvement and extensive future research.
基金Supported by Abdul Hameed Shoman Foundation,No.6/2018.
文摘BACKGROUND Acute kidney injury is characterized by a sudden decline in renal function,often due to ischemia or nephrotoxins,leading to increased oxidative stress and inflam-mation.AIM To investigate the protective effects of adipose-derived mesenchymal stromal cell(ADMSC)secretome on renal tubular epithelial cells(NRK-52E)as an in vitro model of oxidative stress-associated kidney injury.METHODS ADMSCs were isolated from human adipose tissue and characterized for mesenchymal markers and differentiation potential.Conditioned media(CM)was collected after 48-hour serum-free culture and applied to serum-deprived NRK-52E cells for 48 hours.Cell viability was assessed using the MTT assay,apoptosis was assessed by Annexin V-FITC/PI staining and flow cytometry,reactive oxygen species(ROS)levels via H2DCFDA staining,and mitochondrial membrane potential by the tetramethylrhodamine ethyl ester assay.The expression of heme oxygenase-1(HO-1),nuclear factor erythroid 2-related factor 2(Nrf2),and NAD(P)H quinone dehydrogenase 1(Nqo1)genes was quantified by quantitative polymerase chain reaction.Comparative transcriptomic analysis was performed on ADMSCs and bone marrow-derived MSCs(BM-MSCs)using publicly available microarray data(GSE108511).RESULTS ADMSC secretome significantly reduced ROS production and enhanced mitochondrial membrane potential in NRK cells.Gene expression analysis revealed a significant upregulation of HO-1 mRNA levels in ADMSC-CM treated cells.However,no significant changes were observed in Nrf2 and Nqo1 mRNA levels.Transcriptome analysis of ADMSCs against BM-MSCs revealed significant differences in the expression of genes related to oxidative stress response,antioxidant activity,and mitochondrial function.CONCLUSION The results of this study suggest that the ADMSC secretome exerts multifaceted protective effects on NRK cells by reducing oxidative stress and enhancing mitochondrial function.The study demonstrates the potential beneficial applications of the ADMSC secretome in treating oxidative stress-related kidney injuries.
文摘This research presents a novel nature-inspired metaheuristic optimization algorithm,called theNarwhale Optimization Algorithm(NWOA).The algorithm draws inspiration from the foraging and prey-hunting strategies of narwhals,“unicorns of the sea”,particularly the use of their distinctive spiral tusks,which play significant roles in hunting,searching prey,navigation,echolocation,and complex social interaction.Particularly,the NWOA imitates the foraging strategies and techniques of narwhals when hunting for prey but focuses mainly on the cooperative and exploratory behavior shown during group hunting and in the use of their tusks in sensing and locating prey under the Arctic ice.These functions provide a strong assessment basis for investigating the algorithm’s prowess at balancing exploration and exploitation,convergence speed,and solution accuracy.The performance of the NWOA is evaluated on 30 benchmark test functions.A comparison study using the Grey Wolf Optimizer(GWO),Whale Optimization Algorithm(WOA),Perfumer Optimization Algorithm(POA),Candle Flame Optimization(CFO)Algorithm,Particle Swarm Optimization(PSO)Algorithm,and Genetic Algorithm(GA)validates the results.As evidenced in the experimental results,NWOA is capable of yielding competitive outcomes among these well-known optimizers,whereas in several instances.These results suggest thatNWOAhas proven to be an effective and robust optimization tool suitable for solving many different complex optimization problems from the real world.
