The increase in computing capacity caused a rapid and sudden increase in the Operational Expenses (OPEX) of data centers. OPEX reduction is a big concern and a key target in modern data centers. In this study, the sca...The increase in computing capacity caused a rapid and sudden increase in the Operational Expenses (OPEX) of data centers. OPEX reduction is a big concern and a key target in modern data centers. In this study, the scalability of the Dynamic Voltage and Frequency Scaling (DVFS) power management technique is studied under multiple different workloads. The environment of this study is a 3-Tier data center. We conducted multiple experiments to find the impact of using DVFS on energy reduction under two scheduling techniques, namely: Round Robin and Green. We observed that the amount of energy reduction varies according to data center load. When the data center load increases, the energy reduction decreases. Experiments using Green scheduler showed around 83% decrease in power consumption when DVFS is enabled and DC is lightly loaded. In case the DC is fully loaded, in which case the servers’ CPUs are constantly busy with no idle time, the effect of DVFS decreases and stabilizes to less than 10%. Experiments using Round Robin scheduler showed less energy saving by DVFS, specifically, around 25% in light DC load and less than 5% in heavy DC load. In order to find the effect of task weight on energy consumption, a set of experiments were conducted through applying thin and fat tasks. A thin task has much less instructions compared to fat tasks. We observed, through the simulation, that the difference in power reduction between both types of tasks when using DVFS is less than 1%.展开更多
The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently...The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently,the protection of sensitive data has become increasingly critical.Regardless of the complexity of the encryption algorithm used,a robust and highly secure encryption key is essential,with randomness and key space being crucial factors.This paper proposes a new Robust Deoxyribonucleic Acid(RDNA)nucleotide-based encryption method.The RDNA encryption method leverages the unique properties of DNA nucleotides,including their inherent randomness and extensive key space,to generate a highly secure encryption key.By employing transposition and substitution operations,the RDNA method ensures significant diffusion and confusion in the encrypted images.Additionally,it utilises a pseudorandom generation technique based on the random sequence of nucleotides in the DNA secret key.The performance of the RDNA encryption method is evaluated through various statistical and visual tests,and compared against established encryption methods such as 3DES,AES,and a DNA-based method.Experimental results demonstrate that the RDNA encryption method outperforms its rivals in the literature,and achieves superior performance in terms of information entropy,avalanche effect,encryption execution time,and correlation reduction,while maintaining competitive values for NMAE,PSNR,NPCR,and UACI.The high degree of randomness and sensitivity to key changes inherent in the RDNA method offers enhanced security,making it highly resistant to brute force and differential attacks.展开更多
Feature selection(FS)plays a crucial role in pre-processing machine learning datasets,as it eliminates redundant features to improve classification accuracy and reduce computational costs.This paper presents an enhanc...Feature selection(FS)plays a crucial role in pre-processing machine learning datasets,as it eliminates redundant features to improve classification accuracy and reduce computational costs.This paper presents an enhanced approach to FS for software fault prediction,specifically by enhancing the binary dwarf mongoose optimization(BDMO)algorithm with a crossover mechanism and a modified positioning updating formula.The proposed approach,termed iBDMOcr,aims to fortify exploration capability,promote population diversity,and lastly improve the wrapper-based FS process for software fault prediction tasks.iBDMOcr gained superb performance compared to other well-esteemed optimization methods across 17 benchmark datasets.It ranked first in 11 out of 17 datasets in terms of average classification accuracy.Moreover,iBDMOcr outperformed other methods in terms of average fitness values and number of selected features across all datasets.The findings demonstrate the effectiveness of iBDMOcr in addressing FS problems in software fault prediction,leading to more accurate and efficient models.展开更多
This paper presents the role of E-commerce and E-technology in simplifying operations of preparing quotations and contracts of supporting engineering and scientific laboratories by required equipments and tools at Jor...This paper presents the role of E-commerce and E-technology in simplifying operations of preparing quotations and contracts of supporting engineering and scientific laboratories by required equipments and tools at Jordanian universities.The experimental and practical sides of education in scientific colleges in Jordanian universities is very important,so many quotations and contacts are performed and required each year,and E-commerce also offers the required information and specifications to persons responsible to do such contacts by using Business-to-Consumer,Consumer-to-Consumer or Business-to-Business principles.By searching about such equipments using search engines,many companies present their products and their specifications and give you the opportunity to select the suitable devices and tools depending on their specifications and prices.Case studies are discussed for some devices to show how much E-commerce simplifies this operation.It was found that E-commerce and E-technology reduces both time and efforts required to support both engineering and scientific labs with their needs from equipments,catalogs and tools required to such devices.展开更多
The main features of morphological model of industrial robots are discussed, such as support system, manipulator and gripping device. These features are presented with the alternatives for their realization as separat...The main features of morphological model of industrial robots are discussed, such as support system, manipulator and gripping device. These features are presented with the alternatives for their realization as separate modules. The examples of synthesis of arrangements of industrial robots are resulted on module principle with writing of their morphological formulas.展开更多
Extreme temperature events have intensified across Jordan over the past 40 a,increasing risks to agriculture,water availability,urban infrastructure,and public health.The purpose of this study is to assess the long-te...Extreme temperature events have intensified across Jordan over the past 40 a,increasing risks to agriculture,water availability,urban infrastructure,and public health.The purpose of this study is to assess the long-term spatial trends and regime shifts in extreme temperature indicators across Jordan's climate zones to explore climate adaptation strategies.This study presents a high-resolution and spatially explicit assessment of thermal extremes using daily data from 1982 to 2024 across 45 grid-based study points in Jordan.Thirteen temperature indices,including percentile-based thresholds,duration metrics,and absolute extremes,were computed using RClimDex and analyzed across four Köppen climate zones:hot desert(BWh),hot semi-arid(BSh),cold desert(BWk),and Mediterranean(Csa)climates.The analysis confirmed a statistically significant warming trend:annual mean maximum temperatures increased by 2.198°C,while annual mean minimum temperatures rose by 2.035°C.Cold extremes have sharply declined,with cold days(TX10p)decreasing by 70.0%–80.0%,and the cold spell duration indicator(CSDI)dropping from 12.6 to 4.0 d/a,particularly in the BWk zone.Heat indices intensified across all zones,with warm days(TX90p)increasing by over 300.0%in BWh,warm nights(TN90p)rising by 38.1%,and the warm spell duration indicator(WSDI)extending fourfold,indicating prolonged exposure to heatwaves.Mean value of maximum temperature(TXx)reached 45.600°C in most arid areas,while minimum temperature(TNx)exceeded 31.600°C,highlighting increased nocturnal heat stress.Change-point analysis indicated that 1998 was a pivotal year,marking a structural transition in both cold and warm temperature indices.Subsequent intensifications after 2010 in TN90p,TNx,and mean of daily maximum temperature(Tmaxmean)reflected an ongoing trend toward sustained thermal extremes.In addition to time-series trends,the study employed network-based correlation analysis to explore the coherence among climate indices.Strong positive correlations were observed among TXx,TX90p,and mean of daily minimum temperature(Tminmean)(r≥0.94),as well as among TN90p,Tminmean,and TNx(r≥0.87),indicating a tightly clustered heat subsystem.Duration metrics like the WSDI showed a close alignment with percentile extremes(between WSDI and TX90p;r=0.88),suggesting integrated heatwave behavior.In contrast,cold indices(TX10p,TN90p,frost days,and CSDI)exhibited weak or negative correlations and displayed peripheral positioning in the climate network,indicating their limited role under a warming regime.Absolute extremes showed weak internal linkages,suggesting episodic rather than systemic response characteristics.This structural realignment indicated a shift from a previously balanced thermal profile to a heat-dominated climate system.Regional variations revealed that BWh and BSh were experiencing the steepest warming,while Csa was transitioning more slowly but was showing signs of reduced winter cooling and increased irrigation demands.The findings establish a robust climate baseline for Jordan and offer actionable insights for climate adaptation planning.Recommended measures include precision irrigation,the development of heat-resilient crops,improvements to urban cooling infrastructure,and early warning systems for thermal extremes.By integrating spatial climate zoning,regime shift analysis,and inter-index correlation structures,this study provides a replicable framework for monitoring climatic transformations and informing resilience strategies in arid and semi-arid areas.展开更多
Objective:This study aims to identify the prevalence of bullying in the workplace and to examine its association with turnover(TO)intention and secondary traumatic stress(STS)among Jordanian nurses employed in Emergen...Objective:This study aims to identify the prevalence of bullying in the workplace and to examine its association with turnover(TO)intention and secondary traumatic stress(STS)among Jordanian nurses employed in Emergency Departments(EDs)and critical care units(CCUs).Nurses employed in the EDs and CCUs are exposed to high levels of bullying behaviors that may contribute to STS,leading to high rates of TO.Methods:A descriptive cross-sectional design was used.A sample of 150 Jordanian nurses working in CCUs and EDs completed the study.Data collection was performed using the Demographical Questionnaire,the Negative Acts Questionnaire-Revised(NAQ-R),ProQOL scale,and TO scale.The IBM SPSS software was used to analyze data.Results:About 10.7%and 89.3%were categorized as“occasionally bullied”and“victims of workplace bullying”subsequently.Workplace bullying was positively associated with TO intention(r=0.46,P<0.001)and STS(r=0.36,P<0.001).TO was positively associated with STS(r=0.36,P<0.001).Bullying was a unique significant predictor of TO intention(t=4.59,B=0.34,P<0.001)and STS(t=4.15,B=0.34,P<0.001).Conclusions:Bullying behavior has negative adversarial effects on TO and the experience of STS.The prevalence of bullying behavior in the EDs and CCUs remains high despite the increasing awareness of its negative impacts.Healthcare organizations should put systems in place to ensure that zero-tolerance policy are monitored in terms of the effectiveness of its implementation.展开更多
We present the essential stellar parameters of the close visual triple system HD 2893 using Al-Wardat's method for analyzing binary and multiple star systems in conjunction with Kurucz's model atmospheres.This...We present the essential stellar parameters of the close visual triple system HD 2893 using Al-Wardat's method for analyzing binary and multiple star systems in conjunction with Kurucz's model atmospheres.This method accurately computes the spectrophotometric stellar masses through a combined synthetic spectral energy distribution approach that compares the results with observed data.The vigorous approach uses spectroscopic,photometric,and dynamical analysis to yield precise results.The method implements Gaia DR3 measurements and other measurements like those of Hipparcos and 2MASS All-Sky Catalog as a guide for the best fit between the synthetic spectra and observed photometry.The analysis gives precise spectrophotometric stellar masses for the system being M_(Sph)^(A)=1.20±0.07M⊙,M_(Sph)^(B)=1.09±0.06M⊙,and M_(Sph)^(C)=0.46±0.01M⊙.It shows that the three components are main sequence stars with an estimated age of around 1.0 Gyr.When integrated with the dynamical analysis,a new dynamical parallax for the system is obtained,π_(dyn)=13.8528±0.20 mas.Additionally,the discussion covers the formation and evolution of the triple system.展开更多
Stroke is a leading cause of death and disability worldwide,significantly impairing motor and cognitive functions.Effective rehabilitation is often hindered by the heterogeneity of stroke lesions,variability in recove...Stroke is a leading cause of death and disability worldwide,significantly impairing motor and cognitive functions.Effective rehabilitation is often hindered by the heterogeneity of stroke lesions,variability in recovery patterns,and the complexity of electroencephalography(EEG)signals,which are often contaminated by artifacts.Accurate classification of motor imagery(MI)tasks,involving the mental simulation of movements,is crucial for assessing rehabilitation strategies but is challenged by overlapping neural signatures and patient-specific variability.To address these challenges,this study introduces a graph-attentive convolutional long short-term memory(LSTM)network(GACL-Net),a novel hybrid deep learning model designed to improve MI classification accuracy and robustness.GACL-Net incorporates multi-scale convolutional blocks for spatial feature extraction,attention fusion layers for adaptive feature prioritization,graph convolutional layers to model inter-channel dependencies,and bidi-rectional LSTM layers with attention to capture temporal dynamics.Evaluated on an open-source EEG dataset of 50 acute stroke patients performing left and right MI tasks,GACL-Net achieved 99.52%classification accuracy and 97.43%generalization accuracy under leave-one-subject-out cross-validation,outperforming existing state-of-the-art methods.Additionally,its real-time processing capability,with prediction times of 33–56 ms on a T4 GPU,underscores its clinical potential for real-time neurofeedback and adaptive rehabilitation.These findings highlight the model’s potential for clinical applications in assessing rehabilitation effectiveness and optimizing therapy plans through precise MI classification.展开更多
Fenton and ozone treatment was investigated at laboratory scale for the degradation of aqueous solutions of nitrobenzene (NB). Effects of reactants concentration (O3, H2O2, and Fe(Ⅱ)), temperature, and pH on NB...Fenton and ozone treatment was investigated at laboratory scale for the degradation of aqueous solutions of nitrobenzene (NB). Effects of reactants concentration (O3, H2O2, and Fe(Ⅱ)), temperature, and pH on NB degradation were monitored. Reaction kinetic of these processes was also assessed. A rapid reaction took place for Fenton process at higher initial concentration of H2O2, higher temperatures, and more acidic conditions (pH 3). Similarly, ozonation reaction exhibited rapid rates for higher ozone dose, higher temperatures, and more basic conditions (pH 11). Complete NB degradation in 65 min was achieved using Fenton process. The conditions of complete elimination of 100 mg/L of initial NB concentration, were 250 mg/L of H202 concentration, pH 3, and 10 mg/L of Fe(Ⅱ) concentration. Under these conditions, 55% organic carbon elimination was achieved. Total organic carbon mineralization was attained in 240 rain reaction time by Fenton process with 900 mg/L of H202 concentration, and 30 mg/L of Fe(Ⅱ) concentration. Fenton reaction showed a pseudo-first order kinetic; the reaction rate constant was ranged from 0.0226 to 0.0658 min^-1. Complete NB degradation was also achieved for an ozone dose of the order of 2.5 g/L. The ozonation was studied at different ozone doses, different initial pH (7-11) and at different temperatures (15-35℃). NB ozonation kinetic was represented by a bi-molecular kinetic model which was reduced to pseudo-first order kinetic. The pseudo-first order reaction rate constant was determined to increase at 20℃ from 0.004 to 0.020 min^-1 as the used ozone increased from 0.4 to 1.9 g/L.展开更多
Malnutrition is a liver cirrhosis complication affecting more than 20%-50%of patients.Although the term can refer to either nutrient deficiency or excess,it usually relates to undernutrition in cirrhosis settings.Frai...Malnutrition is a liver cirrhosis complication affecting more than 20%-50%of patients.Although the term can refer to either nutrient deficiency or excess,it usually relates to undernutrition in cirrhosis settings.Frailty is defined as limited physical function due to muscle weakness,whereas sarcopenia is defined as muscle mass loss and an advanced malnutrition stage.The pathogenesis of malnutrition in liver cirrhosis is multifactorial,including decreased oral intake,maldigestion/malabsorption,physical inactivity,hyperammonemia,hypermetabolism,altered macronutrient metabolism and gut microbiome dysbiosis.Patients with chronic liver disease with a Body Mass Index of<18.5 kg/m2 and/or decompensated cirrhosis or Child-Pugh class C are at the highest risk of malnutrition.For patients at risk of malnutrition,a detailed nutritional assessment is required,typically including a history and physical examination,laboratory testing,global assessment tools and body composition testing.The latter can be done using anthropometry,cross-sectional imaging including computed tomography or magnetic resonance,bioelectrical impedance analysis and dual-energy X-ray absorptiometry.A multidisciplinary team should screen for and treat malnutrition in patients with cirrhosis.Malnutrition and sarcopenia are associated with an increased risk of complications and a poor prognosis in patients with liver cirrhosis;thus,it is critical to diagnose these conditions early and initiate the appropriate nutritional therapy.In this review,we describe the prevalence and pathogenesis of malnutrition in liver cirrhosis patients and discuss the best diagnostic approach to nutritional assessment for them.展开更多
Mathematical simulation of nonlinear physical and abstract systems is a very vital process for predicting the solution behavior of fractional partial differential equations(FPDEs)corresponding to different application...Mathematical simulation of nonlinear physical and abstract systems is a very vital process for predicting the solution behavior of fractional partial differential equations(FPDEs)corresponding to different applications in science and engineering. In this paper, an attractive reliable analytical technique, the conformable residual power series, is implemented for constructing approximate series solutions for a class of nonlinear coupled FPDEs arising in fluid mechanics and fluid flow, which are often designed to demonstrate the behavior of weakly nonlinear and long waves and describe the interaction of shallow water waves. In the proposed technique the n-truncated representation is substituted into the original system and it is assumed the(n-1) conformable derivative of the residuum is zero. This allows us to estimate coefficients of truncation and successively add the subordinate terms in the multiple fractional power series with a rapidly convergent form. The influence, capacity, and feasibility of the presented approach are verified by testing some real-world applications. Finally, highlights and some closing comments are attached.展开更多
Groundwater forms the main freshwater supply in arid and semi-arid areas,and contamination of this precious resource is complicated by the slow rate of recharge in these areas.Nitrate contamination of groundwater is a...Groundwater forms the main freshwater supply in arid and semi-arid areas,and contamination of this precious resource is complicated by the slow rate of recharge in these areas.Nitrate contamination of groundwater is a global water quality problem,as it entails threat to human health as well as aquatic ecosystems.Source identification of contamination is the cornerstone and a prerequisite for any effective management program of water quality.Stable isotope composition of the dissolved nitrate(δ^(15)N-NO_(3)-andδ^(18)O-NO_(3)-)has been applied to identify NO_(3)-sources and the main transformation processes in the upper aquifer system(A1/2,A4,and B2/A7 aquifers)in the Wadi Shueib catchment area,Jordan.Moreover,the stable isotope compositions of the groundwater(δ^(2)H-H_(2)O andδ^(18)O-H_(2)O)in conjunction with the groundwater hydrochemistry were integrated to investigate the origin and evolution of the groundwater.Results revealed that groundwater in the study area is fresh and hard-very hard water,and mainly a Ca-Mg-Cl type.NO_(3)-concentration was in the range of 7.0-74.0 mg/L with an average of 37.0 mg/L.Most of the samples showed concentration higher than the natural background concentration of NO_(3)-(5.0-10.0 mg/L).Theδ^(2)H-H_(2)O andδ^(18)O-H_(2)O values indicated that the groundwater is meteoric,and of Mediterranean origin,with a strong evaporation effect.Theδ^(15)N-NO_(3)-values ranged between 6.0‰and 11.3‰with an average of 8.7‰,and theδ^(18)O-NO_(3)-values ranged between 1.6‰and 5.9‰with an average of 3.4‰.These values are in conformity with the stable isotope composition of nitrate derived the nitrification of wastewater/manure,and soil NH4.Nitrification and denitrification are the main transformation processes affecting nitrogen species.Statistical analysis revealed no significant differences in theδ^(2)H-H_(2)O andδ^(18)OH_(2)O values,andδ^(15)N-NO_(3)-andδ^(18)O-NO_(3)-values for the three aquifers(A1/2,A4,and B2/A7),indicating that the groundwater of these aquifers has the same origin,and a common source of pollution.展开更多
This study examines the heat transfer enhancement from a horizontal rectangular fin embedded with triangular perforations (their bases parallel and toward the fin tip) under natural convection. The fin's heat dissi...This study examines the heat transfer enhancement from a horizontal rectangular fin embedded with triangular perforations (their bases parallel and toward the fin tip) under natural convection. The fin's heat dissipation rate is compared to that of an equivalent solid one. The parameters considered are geometrical dimensions and thermal properties of the fin and the perforations. The gain in the heat transfer enhancement and the fin weight reduction due to the perforations are considered. The study shows that the heat dissipation from the perforated fin for a certain range of triangular perforation dimensions and spaces between perforations result in improvement in the heat transfer over the equivalent solid fin. The heat transfer enhancement of the perforated fin increases as the fin thermal conductivity and its thickness are increased.展开更多
Coeliac disease (CD) is a common lifelong disorder with small bowel malabsorption and gluten intolerance. The only effective treatment for CD is a strict lifelong renunciation of gluten-containing foods. Currently, th...Coeliac disease (CD) is a common lifelong disorder with small bowel malabsorption and gluten intolerance. The only effective treatment for CD is a strict lifelong renunciation of gluten-containing foods. Currently, the cereal products designed to meet the requirements of CD patients, especially gluten-free bread, are scarce, of low quality and poor flavor. Therefore, preparation of high quality and affordable bread for coeliac patients was the main objective of this study. Three kinds of gluten-free bread were prepared, in which wheat flour was substituted with rice and corn flour at a ratio of 5:1, respectively. Gluten was substituted using different hydrocolloids: 1% xanthan and 1% carrageenan (Mix A), GFB A;1% xanthan and 1% pectin (Mix B), GFB B;and 1% carrageenan and 1% pectin (Mix C), GFB C. These three types of bread were compared to control bread produced from wheat flour (WB). Sponge and dough method with some modifications was used to produce the bread samples with a developed formula (0.8% yeast, 4.0% sugar, 2% salt, 7.0% shortening, 2.0% non-fat dry milk, and 1% sodium stearoyl lactylate (SSL)). Determination of the chemical composition, rheological properties and physical characteristics, as well as sensory evaluation of the bread samples, was undertaken. Results showed that the moisture content of WB bread (control) was significantly lower than that of all types of gluten-free bread, and there was no significant difference in ash, protein, and lipid contents among the gluten-free bread samples. GFB A, GFB B and GFB C displayed no significant differences in their specific volumes. The sensory evaluation showed that GFB C received the lowest sensory evaluation score. Therefore, GFB A and GFB B were the best gluten-free samples.展开更多
It is common knowledge that Yarmouk River Basin(YRB)is shared between Jordan and Syria.Management of YRB trans-boundary water resources is attracting increasing interest because it is a strategic water resource for th...It is common knowledge that Yarmouk River Basin(YRB)is shared between Jordan and Syria.Management of YRB trans-boundary water resources is attracting increasing interest because it is a strategic water resource for the riparian countries.Actually,lack of sharing information regarding hydrological flows and basin’s water management between partners’countries makes it difficult to distinguish between natural and man-made factors affecting the water body.Therefore,this study seeks to address and assess the main on-site changes that exert on YRB.Geospatial technique and arithmetic equations were combined to carry out an assessment of the changes on water resources in YRB.Data,information and field measurements of the basin were aggregated,compiled and presented to determine the extent of changes during the period 1980-2020.Remarkable findings showed that precipitation amount in the basin significantly declined during the period 1980-2020 in particularly after the year 1992.Pumping rate of groundwater was 550 x 103 m3/a,exceeding the basin’s safe yield.Draw down of static groundwater level over time approached the value of-3.2 m/a due to the over abstraction in the aquifer body.Additionally,the evaporation rate reached more than 99%in some regions in the basin.Moreover,the number of private wells has increased from 98 wells in 1980 to 126 wells in 2020,showing the excessive extraction of groundwater.These findings indicate that the study area is subjected to a considerable groundwater depletion in the near future due to extensive abstraction,continuous drilling of illegal wells and decreased annual precipitation under the shadow of the rapid population growth and continuous influx of refugees.Therefore,decision makers-informed scenarios are suggested in the development of water resource portfolios,which involves the combination of management and infrastructural actions that enhance the water productivity of the basin.Further studies are recommended to evaluate the on-site changes on water resources in YRB in collaboration with riparian countries and to establish monitoring system for continuous and accurate measurements of the basin.展开更多
Several characterization methods have been developed to investigate the mechanical and structural properties of vertically aligned carbon nanotubes (VACNTs). Establishing analytical models at nanoscale to interpret ...Several characterization methods have been developed to investigate the mechanical and structural properties of vertically aligned carbon nanotubes (VACNTs). Establishing analytical models at nanoscale to interpret these properties is complicated due to the nonuniformity and irregularity in quality of as-grown samples. In this paper, we propose a new methodology to investigate the correlation between indentation resistance of multi-wall carbon nanotube (MWCNT) turfs, Raman spectra and the geometrical properties of the turf structure using adaptive neuro-fuzzy phenomenological modeling. This methodology yields a novel approach for modeling at the nanoscale by evaluating the effect of structural morphologies on nanomaterial properties using Raman spectroscopy.展开更多
Test complexity and test adequacy are frequently raised by software developers and testing agents.However,there is little research works at this aspect on specification-based testing at the use case description level....Test complexity and test adequacy are frequently raised by software developers and testing agents.However,there is little research works at this aspect on specification-based testing at the use case description level.Thus,this research proposes an automatic test cases generator approach to reduce the test complexity and to enhance the percentage of test coverage.First,to support the infrastructure for performing automatic,this proposed approach refines the use cases using use case describing template and save it in the text file.Then,the saved file is input to the Algorithm of Control Flow Diagram(ACFD)to convert use case details to a control flow diagram.After that,the Proposed Tool of Generating Test Paths(PTGTP)is used to generate test cases from the control flow diagram.Finally,the genetic algorithm associated with transition coverage is adapted to optimize and evaluate the adequacy of such test cases.A money withdrawal use case in the ATM system is used as an ongoing case study.Preliminary results show that the generated test cases achieve high coverage with an optimal test case.This automatic test case generation approach is effective and efficient.Therefore,it could promote to use other test case coverage criteria.展开更多
Ga-doped Yttrium Iron Garnet (Y_(3)Ga_(x)Fe_(5-x)O_(12),Ga:YIG) was prepared by solid state reaction method and sintering at 1 300 ℃.Rietveld analysis of X-ray diffraction patterns indicated that all samples crystall...Ga-doped Yttrium Iron Garnet (Y_(3)Ga_(x)Fe_(5-x)O_(12),Ga:YIG) was prepared by solid state reaction method and sintering at 1 300 ℃.Rietveld analysis of X-ray diffraction patterns indicated that all samples crystallized in a single cubic structure (space group Ia-3d) with decreasing lattice constant as Ga concentration increased.SEM surface micrograph images of YIG samples showed highly compacted grains with small reduction in the grain size with increasing Ga concentration.Raman spectroscopy measurements confirmed the replacement of Fe^(3+) ions by Ga^(3+) ions in the garnet structure was revealed by the observed blue shifts in Raman spectra.The saturation magnetization decreased from 28.2 to 4.98 emu g^(-1) with increasing x from 0.0 to 1.0 due to the preferential substitution of Ga^(3+) ions for Fe^(3+) ions at tetrahedral sites.Room temperature Mössbauer spectra for the samples revealed a reduction of the hyperfine field values for octahedral and tetrahedral sites,and the development of additional components with increasing Ga concentration.Analysis of the magnetic data and Mössbauer spectra confirmed that spin canting in the substituted garnets plays an important role in explaining the observed reduction of the saturation magnetization as x increased.展开更多
文摘The increase in computing capacity caused a rapid and sudden increase in the Operational Expenses (OPEX) of data centers. OPEX reduction is a big concern and a key target in modern data centers. In this study, the scalability of the Dynamic Voltage and Frequency Scaling (DVFS) power management technique is studied under multiple different workloads. The environment of this study is a 3-Tier data center. We conducted multiple experiments to find the impact of using DVFS on energy reduction under two scheduling techniques, namely: Round Robin and Green. We observed that the amount of energy reduction varies according to data center load. When the data center load increases, the energy reduction decreases. Experiments using Green scheduler showed around 83% decrease in power consumption when DVFS is enabled and DC is lightly loaded. In case the DC is fully loaded, in which case the servers’ CPUs are constantly busy with no idle time, the effect of DVFS decreases and stabilizes to less than 10%. Experiments using Round Robin scheduler showed less energy saving by DVFS, specifically, around 25% in light DC load and less than 5% in heavy DC load. In order to find the effect of task weight on energy consumption, a set of experiments were conducted through applying thin and fat tasks. A thin task has much less instructions compared to fat tasks. We observed, through the simulation, that the difference in power reduction between both types of tasks when using DVFS is less than 1%.
文摘The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently,the protection of sensitive data has become increasingly critical.Regardless of the complexity of the encryption algorithm used,a robust and highly secure encryption key is essential,with randomness and key space being crucial factors.This paper proposes a new Robust Deoxyribonucleic Acid(RDNA)nucleotide-based encryption method.The RDNA encryption method leverages the unique properties of DNA nucleotides,including their inherent randomness and extensive key space,to generate a highly secure encryption key.By employing transposition and substitution operations,the RDNA method ensures significant diffusion and confusion in the encrypted images.Additionally,it utilises a pseudorandom generation technique based on the random sequence of nucleotides in the DNA secret key.The performance of the RDNA encryption method is evaluated through various statistical and visual tests,and compared against established encryption methods such as 3DES,AES,and a DNA-based method.Experimental results demonstrate that the RDNA encryption method outperforms its rivals in the literature,and achieves superior performance in terms of information entropy,avalanche effect,encryption execution time,and correlation reduction,while maintaining competitive values for NMAE,PSNR,NPCR,and UACI.The high degree of randomness and sensitivity to key changes inherent in the RDNA method offers enhanced security,making it highly resistant to brute force and differential attacks.
基金supported by the Deanship of Scientific Research and Innovation at Al-Balqa Applied University in Jordan.
文摘Feature selection(FS)plays a crucial role in pre-processing machine learning datasets,as it eliminates redundant features to improve classification accuracy and reduce computational costs.This paper presents an enhanced approach to FS for software fault prediction,specifically by enhancing the binary dwarf mongoose optimization(BDMO)algorithm with a crossover mechanism and a modified positioning updating formula.The proposed approach,termed iBDMOcr,aims to fortify exploration capability,promote population diversity,and lastly improve the wrapper-based FS process for software fault prediction tasks.iBDMOcr gained superb performance compared to other well-esteemed optimization methods across 17 benchmark datasets.It ranked first in 11 out of 17 datasets in terms of average classification accuracy.Moreover,iBDMOcr outperformed other methods in terms of average fitness values and number of selected features across all datasets.The findings demonstrate the effectiveness of iBDMOcr in addressing FS problems in software fault prediction,leading to more accurate and efficient models.
文摘This paper presents the role of E-commerce and E-technology in simplifying operations of preparing quotations and contracts of supporting engineering and scientific laboratories by required equipments and tools at Jordanian universities.The experimental and practical sides of education in scientific colleges in Jordanian universities is very important,so many quotations and contacts are performed and required each year,and E-commerce also offers the required information and specifications to persons responsible to do such contacts by using Business-to-Consumer,Consumer-to-Consumer or Business-to-Business principles.By searching about such equipments using search engines,many companies present their products and their specifications and give you the opportunity to select the suitable devices and tools depending on their specifications and prices.Case studies are discussed for some devices to show how much E-commerce simplifies this operation.It was found that E-commerce and E-technology reduces both time and efforts required to support both engineering and scientific labs with their needs from equipments,catalogs and tools required to such devices.
文摘The main features of morphological model of industrial robots are discussed, such as support system, manipulator and gripping device. These features are presented with the alternatives for their realization as separate modules. The examples of synthesis of arrangements of industrial robots are resulted on module principle with writing of their morphological formulas.
文摘Extreme temperature events have intensified across Jordan over the past 40 a,increasing risks to agriculture,water availability,urban infrastructure,and public health.The purpose of this study is to assess the long-term spatial trends and regime shifts in extreme temperature indicators across Jordan's climate zones to explore climate adaptation strategies.This study presents a high-resolution and spatially explicit assessment of thermal extremes using daily data from 1982 to 2024 across 45 grid-based study points in Jordan.Thirteen temperature indices,including percentile-based thresholds,duration metrics,and absolute extremes,were computed using RClimDex and analyzed across four Köppen climate zones:hot desert(BWh),hot semi-arid(BSh),cold desert(BWk),and Mediterranean(Csa)climates.The analysis confirmed a statistically significant warming trend:annual mean maximum temperatures increased by 2.198°C,while annual mean minimum temperatures rose by 2.035°C.Cold extremes have sharply declined,with cold days(TX10p)decreasing by 70.0%–80.0%,and the cold spell duration indicator(CSDI)dropping from 12.6 to 4.0 d/a,particularly in the BWk zone.Heat indices intensified across all zones,with warm days(TX90p)increasing by over 300.0%in BWh,warm nights(TN90p)rising by 38.1%,and the warm spell duration indicator(WSDI)extending fourfold,indicating prolonged exposure to heatwaves.Mean value of maximum temperature(TXx)reached 45.600°C in most arid areas,while minimum temperature(TNx)exceeded 31.600°C,highlighting increased nocturnal heat stress.Change-point analysis indicated that 1998 was a pivotal year,marking a structural transition in both cold and warm temperature indices.Subsequent intensifications after 2010 in TN90p,TNx,and mean of daily maximum temperature(Tmaxmean)reflected an ongoing trend toward sustained thermal extremes.In addition to time-series trends,the study employed network-based correlation analysis to explore the coherence among climate indices.Strong positive correlations were observed among TXx,TX90p,and mean of daily minimum temperature(Tminmean)(r≥0.94),as well as among TN90p,Tminmean,and TNx(r≥0.87),indicating a tightly clustered heat subsystem.Duration metrics like the WSDI showed a close alignment with percentile extremes(between WSDI and TX90p;r=0.88),suggesting integrated heatwave behavior.In contrast,cold indices(TX10p,TN90p,frost days,and CSDI)exhibited weak or negative correlations and displayed peripheral positioning in the climate network,indicating their limited role under a warming regime.Absolute extremes showed weak internal linkages,suggesting episodic rather than systemic response characteristics.This structural realignment indicated a shift from a previously balanced thermal profile to a heat-dominated climate system.Regional variations revealed that BWh and BSh were experiencing the steepest warming,while Csa was transitioning more slowly but was showing signs of reduced winter cooling and increased irrigation demands.The findings establish a robust climate baseline for Jordan and offer actionable insights for climate adaptation planning.Recommended measures include precision irrigation,the development of heat-resilient crops,improvements to urban cooling infrastructure,and early warning systems for thermal extremes.By integrating spatial climate zoning,regime shift analysis,and inter-index correlation structures,this study provides a replicable framework for monitoring climatic transformations and informing resilience strategies in arid and semi-arid areas.
文摘Objective:This study aims to identify the prevalence of bullying in the workplace and to examine its association with turnover(TO)intention and secondary traumatic stress(STS)among Jordanian nurses employed in Emergency Departments(EDs)and critical care units(CCUs).Nurses employed in the EDs and CCUs are exposed to high levels of bullying behaviors that may contribute to STS,leading to high rates of TO.Methods:A descriptive cross-sectional design was used.A sample of 150 Jordanian nurses working in CCUs and EDs completed the study.Data collection was performed using the Demographical Questionnaire,the Negative Acts Questionnaire-Revised(NAQ-R),ProQOL scale,and TO scale.The IBM SPSS software was used to analyze data.Results:About 10.7%and 89.3%were categorized as“occasionally bullied”and“victims of workplace bullying”subsequently.Workplace bullying was positively associated with TO intention(r=0.46,P<0.001)and STS(r=0.36,P<0.001).TO was positively associated with STS(r=0.36,P<0.001).Bullying was a unique significant predictor of TO intention(t=4.59,B=0.34,P<0.001)and STS(t=4.15,B=0.34,P<0.001).Conclusions:Bullying behavior has negative adversarial effects on TO and the experience of STS.The prevalence of bullying behavior in the EDs and CCUs remains high despite the increasing awareness of its negative impacts.Healthcare organizations should put systems in place to ensure that zero-tolerance policy are monitored in terms of the effectiveness of its implementation.
基金a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology,funded by the National Aeronautics and Space Administration and the National Science Foundation。
文摘We present the essential stellar parameters of the close visual triple system HD 2893 using Al-Wardat's method for analyzing binary and multiple star systems in conjunction with Kurucz's model atmospheres.This method accurately computes the spectrophotometric stellar masses through a combined synthetic spectral energy distribution approach that compares the results with observed data.The vigorous approach uses spectroscopic,photometric,and dynamical analysis to yield precise results.The method implements Gaia DR3 measurements and other measurements like those of Hipparcos and 2MASS All-Sky Catalog as a guide for the best fit between the synthetic spectra and observed photometry.The analysis gives precise spectrophotometric stellar masses for the system being M_(Sph)^(A)=1.20±0.07M⊙,M_(Sph)^(B)=1.09±0.06M⊙,and M_(Sph)^(C)=0.46±0.01M⊙.It shows that the three components are main sequence stars with an estimated age of around 1.0 Gyr.When integrated with the dynamical analysis,a new dynamical parallax for the system is obtained,π_(dyn)=13.8528±0.20 mas.Additionally,the discussion covers the formation and evolution of the triple system.
基金supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Science and ICT under Grant NRF-2022R1A2C1005316.
文摘Stroke is a leading cause of death and disability worldwide,significantly impairing motor and cognitive functions.Effective rehabilitation is often hindered by the heterogeneity of stroke lesions,variability in recovery patterns,and the complexity of electroencephalography(EEG)signals,which are often contaminated by artifacts.Accurate classification of motor imagery(MI)tasks,involving the mental simulation of movements,is crucial for assessing rehabilitation strategies but is challenged by overlapping neural signatures and patient-specific variability.To address these challenges,this study introduces a graph-attentive convolutional long short-term memory(LSTM)network(GACL-Net),a novel hybrid deep learning model designed to improve MI classification accuracy and robustness.GACL-Net incorporates multi-scale convolutional blocks for spatial feature extraction,attention fusion layers for adaptive feature prioritization,graph convolutional layers to model inter-channel dependencies,and bidi-rectional LSTM layers with attention to capture temporal dynamics.Evaluated on an open-source EEG dataset of 50 acute stroke patients performing left and right MI tasks,GACL-Net achieved 99.52%classification accuracy and 97.43%generalization accuracy under leave-one-subject-out cross-validation,outperforming existing state-of-the-art methods.Additionally,its real-time processing capability,with prediction times of 33–56 ms on a T4 GPU,underscores its clinical potential for real-time neurofeedback and adaptive rehabilitation.These findings highlight the model’s potential for clinical applications in assessing rehabilitation effectiveness and optimizing therapy plans through precise MI classification.
文摘Fenton and ozone treatment was investigated at laboratory scale for the degradation of aqueous solutions of nitrobenzene (NB). Effects of reactants concentration (O3, H2O2, and Fe(Ⅱ)), temperature, and pH on NB degradation were monitored. Reaction kinetic of these processes was also assessed. A rapid reaction took place for Fenton process at higher initial concentration of H2O2, higher temperatures, and more acidic conditions (pH 3). Similarly, ozonation reaction exhibited rapid rates for higher ozone dose, higher temperatures, and more basic conditions (pH 11). Complete NB degradation in 65 min was achieved using Fenton process. The conditions of complete elimination of 100 mg/L of initial NB concentration, were 250 mg/L of H202 concentration, pH 3, and 10 mg/L of Fe(Ⅱ) concentration. Under these conditions, 55% organic carbon elimination was achieved. Total organic carbon mineralization was attained in 240 rain reaction time by Fenton process with 900 mg/L of H202 concentration, and 30 mg/L of Fe(Ⅱ) concentration. Fenton reaction showed a pseudo-first order kinetic; the reaction rate constant was ranged from 0.0226 to 0.0658 min^-1. Complete NB degradation was also achieved for an ozone dose of the order of 2.5 g/L. The ozonation was studied at different ozone doses, different initial pH (7-11) and at different temperatures (15-35℃). NB ozonation kinetic was represented by a bi-molecular kinetic model which was reduced to pseudo-first order kinetic. The pseudo-first order reaction rate constant was determined to increase at 20℃ from 0.004 to 0.020 min^-1 as the used ozone increased from 0.4 to 1.9 g/L.
文摘Malnutrition is a liver cirrhosis complication affecting more than 20%-50%of patients.Although the term can refer to either nutrient deficiency or excess,it usually relates to undernutrition in cirrhosis settings.Frailty is defined as limited physical function due to muscle weakness,whereas sarcopenia is defined as muscle mass loss and an advanced malnutrition stage.The pathogenesis of malnutrition in liver cirrhosis is multifactorial,including decreased oral intake,maldigestion/malabsorption,physical inactivity,hyperammonemia,hypermetabolism,altered macronutrient metabolism and gut microbiome dysbiosis.Patients with chronic liver disease with a Body Mass Index of<18.5 kg/m2 and/or decompensated cirrhosis or Child-Pugh class C are at the highest risk of malnutrition.For patients at risk of malnutrition,a detailed nutritional assessment is required,typically including a history and physical examination,laboratory testing,global assessment tools and body composition testing.The latter can be done using anthropometry,cross-sectional imaging including computed tomography or magnetic resonance,bioelectrical impedance analysis and dual-energy X-ray absorptiometry.A multidisciplinary team should screen for and treat malnutrition in patients with cirrhosis.Malnutrition and sarcopenia are associated with an increased risk of complications and a poor prognosis in patients with liver cirrhosis;thus,it is critical to diagnose these conditions early and initiate the appropriate nutritional therapy.In this review,we describe the prevalence and pathogenesis of malnutrition in liver cirrhosis patients and discuss the best diagnostic approach to nutritional assessment for them.
基金Authors gratefully acknowledge Ajman University for providing facilities for our research under Grant Ref.No.2019-IRG-HBS-11.
文摘Mathematical simulation of nonlinear physical and abstract systems is a very vital process for predicting the solution behavior of fractional partial differential equations(FPDEs)corresponding to different applications in science and engineering. In this paper, an attractive reliable analytical technique, the conformable residual power series, is implemented for constructing approximate series solutions for a class of nonlinear coupled FPDEs arising in fluid mechanics and fluid flow, which are often designed to demonstrate the behavior of weakly nonlinear and long waves and describe the interaction of shallow water waves. In the proposed technique the n-truncated representation is substituted into the original system and it is assumed the(n-1) conformable derivative of the residuum is zero. This allows us to estimate coefficients of truncation and successively add the subordinate terms in the multiple fractional power series with a rapidly convergent form. The influence, capacity, and feasibility of the presented approach are verified by testing some real-world applications. Finally, highlights and some closing comments are attached.
基金funded by the by the Deanship of Scientific Research,Jordan University of Science and Technology(20170338).
文摘Groundwater forms the main freshwater supply in arid and semi-arid areas,and contamination of this precious resource is complicated by the slow rate of recharge in these areas.Nitrate contamination of groundwater is a global water quality problem,as it entails threat to human health as well as aquatic ecosystems.Source identification of contamination is the cornerstone and a prerequisite for any effective management program of water quality.Stable isotope composition of the dissolved nitrate(δ^(15)N-NO_(3)-andδ^(18)O-NO_(3)-)has been applied to identify NO_(3)-sources and the main transformation processes in the upper aquifer system(A1/2,A4,and B2/A7 aquifers)in the Wadi Shueib catchment area,Jordan.Moreover,the stable isotope compositions of the groundwater(δ^(2)H-H_(2)O andδ^(18)O-H_(2)O)in conjunction with the groundwater hydrochemistry were integrated to investigate the origin and evolution of the groundwater.Results revealed that groundwater in the study area is fresh and hard-very hard water,and mainly a Ca-Mg-Cl type.NO_(3)-concentration was in the range of 7.0-74.0 mg/L with an average of 37.0 mg/L.Most of the samples showed concentration higher than the natural background concentration of NO_(3)-(5.0-10.0 mg/L).Theδ^(2)H-H_(2)O andδ^(18)O-H_(2)O values indicated that the groundwater is meteoric,and of Mediterranean origin,with a strong evaporation effect.Theδ^(15)N-NO_(3)-values ranged between 6.0‰and 11.3‰with an average of 8.7‰,and theδ^(18)O-NO_(3)-values ranged between 1.6‰and 5.9‰with an average of 3.4‰.These values are in conformity with the stable isotope composition of nitrate derived the nitrification of wastewater/manure,and soil NH4.Nitrification and denitrification are the main transformation processes affecting nitrogen species.Statistical analysis revealed no significant differences in theδ^(2)H-H_(2)O andδ^(18)OH_(2)O values,andδ^(15)N-NO_(3)-andδ^(18)O-NO_(3)-values for the three aquifers(A1/2,A4,and B2/A7),indicating that the groundwater of these aquifers has the same origin,and a common source of pollution.
文摘This study examines the heat transfer enhancement from a horizontal rectangular fin embedded with triangular perforations (their bases parallel and toward the fin tip) under natural convection. The fin's heat dissipation rate is compared to that of an equivalent solid one. The parameters considered are geometrical dimensions and thermal properties of the fin and the perforations. The gain in the heat transfer enhancement and the fin weight reduction due to the perforations are considered. The study shows that the heat dissipation from the perforated fin for a certain range of triangular perforation dimensions and spaces between perforations result in improvement in the heat transfer over the equivalent solid fin. The heat transfer enhancement of the perforated fin increases as the fin thermal conductivity and its thickness are increased.
文摘Coeliac disease (CD) is a common lifelong disorder with small bowel malabsorption and gluten intolerance. The only effective treatment for CD is a strict lifelong renunciation of gluten-containing foods. Currently, the cereal products designed to meet the requirements of CD patients, especially gluten-free bread, are scarce, of low quality and poor flavor. Therefore, preparation of high quality and affordable bread for coeliac patients was the main objective of this study. Three kinds of gluten-free bread were prepared, in which wheat flour was substituted with rice and corn flour at a ratio of 5:1, respectively. Gluten was substituted using different hydrocolloids: 1% xanthan and 1% carrageenan (Mix A), GFB A;1% xanthan and 1% pectin (Mix B), GFB B;and 1% carrageenan and 1% pectin (Mix C), GFB C. These three types of bread were compared to control bread produced from wheat flour (WB). Sponge and dough method with some modifications was used to produce the bread samples with a developed formula (0.8% yeast, 4.0% sugar, 2% salt, 7.0% shortening, 2.0% non-fat dry milk, and 1% sodium stearoyl lactylate (SSL)). Determination of the chemical composition, rheological properties and physical characteristics, as well as sensory evaluation of the bread samples, was undertaken. Results showed that the moisture content of WB bread (control) was significantly lower than that of all types of gluten-free bread, and there was no significant difference in ash, protein, and lipid contents among the gluten-free bread samples. GFB A, GFB B and GFB C displayed no significant differences in their specific volumes. The sensory evaluation showed that GFB C received the lowest sensory evaluation score. Therefore, GFB A and GFB B were the best gluten-free samples.
文摘It is common knowledge that Yarmouk River Basin(YRB)is shared between Jordan and Syria.Management of YRB trans-boundary water resources is attracting increasing interest because it is a strategic water resource for the riparian countries.Actually,lack of sharing information regarding hydrological flows and basin’s water management between partners’countries makes it difficult to distinguish between natural and man-made factors affecting the water body.Therefore,this study seeks to address and assess the main on-site changes that exert on YRB.Geospatial technique and arithmetic equations were combined to carry out an assessment of the changes on water resources in YRB.Data,information and field measurements of the basin were aggregated,compiled and presented to determine the extent of changes during the period 1980-2020.Remarkable findings showed that precipitation amount in the basin significantly declined during the period 1980-2020 in particularly after the year 1992.Pumping rate of groundwater was 550 x 103 m3/a,exceeding the basin’s safe yield.Draw down of static groundwater level over time approached the value of-3.2 m/a due to the over abstraction in the aquifer body.Additionally,the evaporation rate reached more than 99%in some regions in the basin.Moreover,the number of private wells has increased from 98 wells in 1980 to 126 wells in 2020,showing the excessive extraction of groundwater.These findings indicate that the study area is subjected to a considerable groundwater depletion in the near future due to extensive abstraction,continuous drilling of illegal wells and decreased annual precipitation under the shadow of the rapid population growth and continuous influx of refugees.Therefore,decision makers-informed scenarios are suggested in the development of water resource portfolios,which involves the combination of management and infrastructural actions that enhance the water productivity of the basin.Further studies are recommended to evaluate the on-site changes on water resources in YRB in collaboration with riparian countries and to establish monitoring system for continuous and accurate measurements of the basin.
基金supported in part by the National Science Foundation under Grant No. CTS-0404370the US Army SMDC under Contract DASG60-02-C-0084
文摘Several characterization methods have been developed to investigate the mechanical and structural properties of vertically aligned carbon nanotubes (VACNTs). Establishing analytical models at nanoscale to interpret these properties is complicated due to the nonuniformity and irregularity in quality of as-grown samples. In this paper, we propose a new methodology to investigate the correlation between indentation resistance of multi-wall carbon nanotube (MWCNT) turfs, Raman spectra and the geometrical properties of the turf structure using adaptive neuro-fuzzy phenomenological modeling. This methodology yields a novel approach for modeling at the nanoscale by evaluating the effect of structural morphologies on nanomaterial properties using Raman spectroscopy.
文摘Test complexity and test adequacy are frequently raised by software developers and testing agents.However,there is little research works at this aspect on specification-based testing at the use case description level.Thus,this research proposes an automatic test cases generator approach to reduce the test complexity and to enhance the percentage of test coverage.First,to support the infrastructure for performing automatic,this proposed approach refines the use cases using use case describing template and save it in the text file.Then,the saved file is input to the Algorithm of Control Flow Diagram(ACFD)to convert use case details to a control flow diagram.After that,the Proposed Tool of Generating Test Paths(PTGTP)is used to generate test cases from the control flow diagram.Finally,the genetic algorithm associated with transition coverage is adapted to optimize and evaluate the adequacy of such test cases.A money withdrawal use case in the ATM system is used as an ongoing case study.Preliminary results show that the generated test cases achieve high coverage with an optimal test case.This automatic test case generation approach is effective and efficient.Therefore,it could promote to use other test case coverage criteria.
文摘Ga-doped Yttrium Iron Garnet (Y_(3)Ga_(x)Fe_(5-x)O_(12),Ga:YIG) was prepared by solid state reaction method and sintering at 1 300 ℃.Rietveld analysis of X-ray diffraction patterns indicated that all samples crystallized in a single cubic structure (space group Ia-3d) with decreasing lattice constant as Ga concentration increased.SEM surface micrograph images of YIG samples showed highly compacted grains with small reduction in the grain size with increasing Ga concentration.Raman spectroscopy measurements confirmed the replacement of Fe^(3+) ions by Ga^(3+) ions in the garnet structure was revealed by the observed blue shifts in Raman spectra.The saturation magnetization decreased from 28.2 to 4.98 emu g^(-1) with increasing x from 0.0 to 1.0 due to the preferential substitution of Ga^(3+) ions for Fe^(3+) ions at tetrahedral sites.Room temperature Mössbauer spectra for the samples revealed a reduction of the hyperfine field values for octahedral and tetrahedral sites,and the development of additional components with increasing Ga concentration.Analysis of the magnetic data and Mössbauer spectra confirmed that spin canting in the substituted garnets plays an important role in explaining the observed reduction of the saturation magnetization as x increased.