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| 1 | Major-effect candidate genes identified in cultivated strawberry(Fragaria×ananassa Duch.)for ellagic acid deoxyhexoside and pelargonidin-3-O-malonylglucoside biosynthesis,key polyphenolic compounds显示文摘Strawberries are rich in polyphenols which impart health benefits when metabolized by the gut microbiome,including anti-inflammatory,neuroprotective,and antiproliferative effects.In addition,polyphenolic anthocyanins contribute to the attractive color of strawberry fruits.However,the genetic basis of polyphenol biosynthesis has not been extensively studied in strawberry.In this investigation,ripe fruits from three cultivated strawberry populations were characterized for polyphenol content using HPLC-DAD-MSn and genotyped using the iStraw35k array.GWAS and QTL analyses identified genetic loci controlling polyphenol biosynthesis.QTL were identified on four chromosomes for pelargonidin-3-O-malonylglucoside,pelargonidin-3-O-acetylglucoside,cinnamoyl glucose,and ellagic acid deoxyhexoside biosynthesis.Presence/absence of ellagic acid deoxyhexoside and pelargonidin-3-O-malonylglucoside was found to be under the control of major gene loci on LG1X2 and LG6b,respectively,on the F.×ananassa linkage maps.Interrogation of gene predictions in the F.vesca reference genome sequence identified a single candidate gene for ellagic acid deoxyhexoside biosynthesis,while seven malonyltransferase genes were identified as candidates for pelargonidin-3-O-malonylglucoside biosynthesis.Homologous malonyltransferase genes were identified in the F.×ananassa‘Camarosa’genome sequence but the candidate for ellagic acid deoxyhexoside biosynthesis was absent from the‘Camarosa’sequence.This study demonstrated that polyphenol biosynthesis in strawberry is,in some cases,under simple genetic control,supporting previous observations of the presence or absence of these compounds in strawberry fruits.It has also shed light on the mechanisms controlling polyphenol biosynthesis and enhanced the knowledge of these biosynthesis pathways in strawberry.The above findings will facilitate breeding for strawberries enriched in compounds with beneficial health effects. | Jahn Davik Kjersti Aaby Matteo Buti Muath Alsheikh NadaŠurbanovski Stefan Martens Dag Røen Daniel James Sargent | 2020 | Horticulture Research2020，7，1： | 2 |
| 2 | 后续焊缝热处理对气体保护钨极电弧焊AA6061-T6合金显微组织和力学性能的影响(英文)显示文摘采用ER5356焊料对AA6061-T6合金板材进行双V坡口气体保护钨极焊接。采用XRD、FESEM、EBSD、纳米压痕和拉伸测试研究焊接后及后续焊缝热处理后焊接接头的显微组织、力学性能和纳米力学性能。结果表明,后续焊缝热处理可使热影响区的显微组织恢复,并在焊缝区的晶界上形成β相(Al_3Mg_2)。经后续焊缝热处理后,所有区域的硬度均增加,而焊缝区的弹性模量从69.93 GPa增加至81 GPa。经后续焊缝热处理后,焊接区的显微组织均匀,与基体合金相比,力学性能得到提高。 | Firouz FADAEIFARD Khamirul Amin MATORI Farhad GARAVI Muath Al-FALAHI Gholamreza Vahedi SARRIGANI | 2016 | Transactions of Nonferrous Metals Society of China2016，26，12： | 2 |
| 3 | Alternative natural dyes in water purification: Anthocyanin as TiO 2 -sensitizer in methyl orange photo-degradation显示文摘 | Ahed Zyoud Nidal Zaatar Iyad Saadeddin Muath H. Helal Guy Campet Moulki Hakim DaeHoon Park Hikmat S. Hilal | 2011 | Solid State Sciences2011，，6： | 1 |
| 4 | Ion binding properties of the dehydrin ERD14 are dependent upon phosphorylation 显示文摘 | Muath K A Bruce J Heyen S K | 2003 | J Biol Chem2003，278，40： | 1 |
| 5 | Ion binding properties of the dehydrin ERD14 are dependent upon phosphorylation显示文摘 | MUATH K A BRUCE J H STEPHEN K R | 2003 | Journal of Biological Chemistry2003，278，40： | 1 |
| 6 | Phosphorylation regulated ion‐binding is a property shared by the acidic subclass dehydrins显示文摘 | MUATH K.ALSHEIKH JAN T.SVENSSON STEPHEN K.RANDALL | 2005 | Plant Cell & Environment2005，，9： | 1 |
| 7 | Ion binding properties of the dehydrin ERD14 are dependent upon phos-phorylation显示文摘 | MUATH K A BRUCE J H STEPHEN K R | 2003 | The Journal of Biological Chemistry2003，278，40： | 1 |
| 8 | Ameliorative properties of Iranian Trigonella foenum-graecum L. seeds and Punica granatum L. peel extracts in streptozotocin-induced experimental diabetic guinea pigs显示文摘Objective: To assess the ameliorative properties of Iranian Trigonella foenum-graecum L.(T. foenum-graecum) seeds and Punica granatum L.(P. granatum) peel extracts against streptozotocin-induced diabetes in male guinea pigs.Methods: Sixty guinea pigs were divided into six groups(10 guinea pigs per group).Group 1 consisted of normal animals. Groups 2 and 3 were treated with Iranian T. foenum-graecum seeds and P. granatum peel extract alone, respectively. Group 4 was treated with streptozotocin only; whereas Groups 5 and 6 receiving streptozotocin were treated with Iranian T. foenum-graecum seeds and P. granatum peel extract, respectively.All animals were treated for 30 days, and the body weight, blood and liver biochemical parameters were measured.Results: Guinea pigs exposed to streptozotocin showed an alteration in body weight gain, fasting glucose level, kidney function parameters(blood urea nitrogen and creatinine) as well as decreased serum and hepatic total protein level. In addition, it increased the cholesterol and triglyceride level, while decreasing the hepatic glucose-6 phosphate dehydrogenase activity, glycogen, glutathione content and hepatic catalase activity. Oral treatment with T. foenum-graecum seeds and P. granatum peel extracts revealed significant protective properties with respect to body weight gain and other biochemical parameters studied.Conclusions: The Iranian T. foenum-graecum seeds and P. granatum peel extracts are significantly potent in ameliorating diabetic condition induced by streptozotocin and improving various biochemical parameters in serum and liver of guinea pigs. | Nabil Abdel Salam Ahmed Hasona Mohammed Ahmed Qumani Turki Ahmed Alghassab Muath Abdulrahman Alghassab Abdullah Ali Alghabban | 2017 | Asian Pacific Journal of Tropical Biomedicine2017，7，3： | 0 |
| 9 | Creep behavior and post-creep thermoelectric performance of the n-type Skutterudite alloy Yb_(0.3)Co_(4)Sb_(12)显示文摘Upon uniaxial compressive loading at 500℃(T/Tm=0.67,where Tm is the absolute melting point),the n-type Skutterudite alloy Yb03Co4Sb12 deforms plastically by creep via a power-law,with a stress exponent~3 consistent with dislocation viscous glide.An activation energy of 171 kJ/mol is measured over the temperature range of 500-587℃(T/Tm=0.67-0.75)at a stress of 30 MPa.Yb_(0.3)Co_(4)Sb_(12)is ductile at 500℃,exhibiting a compressive strain of 25%when subjected to stresses ranging from 22 to 90 MPa for up to 28 days.Among the thermoelectric materials tested so far for creep,Yb_(0.3)Co_(4)Sb_(12)exhibits a creep resistance intermediate between low-melting(Bi2Te3,TAGS-85)and high-melting thermoelectrics(Mg2Si and ZrNiSn).A relatively modest drop in the figure of merit zT,from 0.67 to 0.52,is displayed by Yb_(0.3)Co_(4)Sb_(12)after accumulating 3.7%compressive creep strain at 500℃,mostly due to a drop in electrical conductivity. | Muath M.Al Malki Xun Shi Pengfei Qiu G.Jeffrey Snyder David C.Dunand | 2021 | Journal of Materiomics2021，7，1： | 0 |
| 10 | Takagi–Sugeno Fuzzy Modeling and Control for Effective Robotic Manipulator Motion显示文摘Robotic manipulators are widely used in applications that require fast and precise motion.Such devices,however,are prompt to nonlinear control issues due to the flexibility in joints and the friction in the motors within the dynamics of their rigid part.To address these issues,the Linear Matrix Inequalities(LMIs)and Parallel Distributed Compensation(PDC)approaches are implemented in the Takagy–Sugeno Fuzzy Model(T-SFM).We propose the following methodology;initially,the state space equations of the nonlinear manipulator model are derived.Next,a Takagy–Sugeno Fuzzy Model(T-SFM)technique is used for linearizing the state space equations of the nonlinear manipulator.The T-SFM controller is developed using the Parallel Distributed Compensation(PDC)method.The prime concept of the designed controller is to compensate for all the fuzzy rules.Furthermore,the Linear Matrix Inequalities(LMIs)are applied to generate adequate cases to ensure stability and control.Convex programming methods are applied to solve the developed LMIs problems.Simulations developed for the proposed model show that the proposed controller stabilized the system with zero tracking error in less than 1.5 s. | Izzat Al-Darraji Ayad AKakei Ayad Ghany Ismaeel Georgios Tsaramirsis Fazal Qudus Khan Princy Randhawa Muath Alrammal Sadeeq Jan | 2022 | Computers, Materials & Continua2022，，4： | 0 |
| 11 | Depression,periodontitis,caries and missing teeth in the USA,NHANES 2009-2014显示文摘Purpose This study aimed to investigate the association between self-reported depressive symptoms and oral diseases in US adults,including periodontitis,caries,missing teeth and untreated dental caries.Design This study was designed as a secondary data analysis of a cross-sectional survey.We conducted descriptive,multivariable logistic and Poisson regression analyses on weighted data.Setting US National Health and Nutrition Examination Survey 2009-2014 data.Participants Individuals aged≥30 years who completed a periodontal examination and depression screening(n=9799).Results 21.6%(28.9 million)of adults aged≥30 years reported depressive symptoms,with a higher prevalence among females,current smokers and participants with lower income and education status.More than half of the adults with moderate depressive symptoms had periodontal diseases,and more than one-third had teeth with untreated dental caries.After adjusting for sociodemographics,behavioural factors,having diabetes and psychotherapeutic medication use,depressive symptoms were associated with poorer oral health.Severe depressive symptoms were associated with higher odds of mild periodontitis(2.20;99%CI 1.03 to 4.66).For those with mild depressive symptoms,the mean number of missing teeth was 1.20(99%CI 1.06 to 1.37)times the average of non-symptomatic individuals;and 1.38 times(99%CI 1.15 to 1.66)among individuals with moderate depressive symptoms.Conclusions Depressive symptoms were associated with mild periodontitis and a greater number of missing teeth,while having teeth with untreated dental caries was attributed to sociodemographic factors.Awareness of oral health status among patients with depressive symptoms can inform both dental and mental health providers to develop tailored treatment and help patients achieve overall wellness. | Muath Aldosari Mohammad Helmi Erinne N Kennedy Riddhi Badamia Satomi Odani Israel Agaku Constantine Vardavas | 2020 | Family Medicine and Community Health2020，8，4： | 0 |
| 12 | IoMT-Based Smart Healthcare of Elderly People Using Deep Extreme Learning Machine显示文摘The Internet of Medical Things(IoMT)enables digital devices to gather,infer,and broadcast health data via the cloud platform.The phenomenal growth of the IoMT is fueled by many factors,including the widespread and growing availability of wearables and the ever-decreasing cost of sensor-based technology.There is a growing interest in providing solutions for elderly people living assistance in a world where the population is rising rapidly.The IoMT is a novel reality transforming our daily lives.It can renovate modern healthcare by delivering a more personalized,protective,and collaborative approach to care.However,the current healthcare system for outdoor senior citizens faces new challenges.Traditional healthcare systems are inefficient and lack user-friendly technologies and interfaces appropriate for elderly people in an outdoor environment.Hence,in this research work,a IoMT based Smart Healthcare of Elderly people using Deep Extreme Learning Machine(SH-EDELM)is proposed to monitor the senior citizens’healthcare.The performance of the proposed SH-EDELM technique gives better results in terms of 0.9301 accuracy and 0.0699 miss rate,respectively. | Muath Jarrah Hussam Al Hamadi Ahmed Abu-Khadrah Taher M.Ghazal | 2023 | Computers, Materials & Continua2023，，7： | 0 |
| 13 | Infrared Spectroscopy-Based Chemometric Analysis for Lard Differentiation in Meat Samples显示文摘One of the most pressing concerns for the consumer market is the detection of adulteration in meat products due to their preciousness.The rapid and accurate identification mechanism for lard adulteration in meat products is highly necessary,for developing a mechanism trusted by consumers and that can be used to make a definitive diagnosis.Fourier Transform Infrared Spectroscopy(FTIR)is used in this work to identify lard adulteration in cow,lamb,and chicken samples.A simplified extraction method was implied to obtain the lipids from pure and adulterated meat.Adulterated samples were obtained by mixing lard with chicken,lamb,and beef with different concentrations(10%–50%v/v).Principal component analysis(PCA)and partial least square(PLS)were used to develop a calibration model at 800–3500 cm^(−1).Three-dimension PCA was successfully used by dividing the spectrum in three regions to classify lard meat adulteration in chicken,lamb,and beef samples.The corresponding FTIR peaks for the lard have been observed at 1159.6,1743.4,2853.1,and 2922.5 cm−1,which differentiate chicken,lamb,and beef samples.The wavenumbers offer the highest determination coefficient R2 value of 0.846 and lowest root mean square error of calibration(RMSEC)and root mean square error prediction(RMSEP)with an accuracy of 84.6%.Even the tiniest fat adulteration up to 10%can be reliably discovered using this methodology. | Muhammad Aadil Siddiqui M.H.Md Khir Zaka Ullah Muath Al Hasan Abdul Saboor Saeed Ahmed Magsi | 2023 | Computers, Materials & Continua2023，，5： | 0 |
| 14 | Modeling Drug Concentration in Blood through Caputo-Fabrizio and Caputo Fractional Derivatives显示文摘This study focuses on the dynamics of drug concentration in the blood.In general,the concentration level of a drug in the blood is evaluated by themean of an ordinary and first-order differential equation.More precisely,it is solved through an initial value problem.We proposed a newmodeling technique for studying drug concentration in blood dynamics.This technique is based on two fractional derivatives,namely,Caputo and Caputo-Fabrizio derivatives.We first provided comprehensive and detailed proof of the existence of at least one solution to the problem;we later proved the uniqueness of the existing solution.The proof was written using the Caputo-Fabrizio fractional derivative and some fixed-point techniques.Stability via theUlam-Hyers(UH)technique was also investigated.The application of the proposedmodel on two real data sets revealed that the Caputo derivative wasmore suitable in this study.Indeed,for the first data set,the model based on the Caputo derivative yielded a Mean Squared Error(MSE)of 0.03095 with a corresponding best value of fractional order of derivative of 1.00360.Caputo-Fabrizio-basedderivative appeared to be the second-best method for the problem,with an MSE of 0.04324 for a corresponding best fractional derivative order of 0.43532.For the second experiment,Caputo derivative-based model still performed the best as it yielded an MSE of 0.04066,whereas the classical and the Caputo-Fabrizio methods were tied with the same MSE of 0.07299.Another interesting finding was that the MSE yielded by the Caputo-Fabrizio fractional derivative coincided with the MSE obtained from the classical approach. | Muath Awadalla Kinda Abuasbeh Yves Yannick Yameni Noupoue Mohammed S.Abdo | 2023 | Computer Modeling in Engineering & Sciences2023，，6： | 0 |
| 15 | 2D MXene Ti_(3)C_(2)T_(x)Enhanced Plasmonic Absorption in Metasurface for Terahertz Shielding显示文摘With the advancement of technology,shielding for terahertz(THz)electronic and communication equipment is increasingly important.The metamaterial absorption technique is mostly used to shield electromagnetic interference(EMI)in THz sensing technologies.The most widely used THz metamaterial absorbers suffer from their narrowband properties and the involvement of complex fabrication techniques.Materials with multifunctional properties,such as adjustable conductivity,broad bandwidth,high flexibility,and robustness,are driving future development to meet THz shielding applications.In this article,a theoretical simulation approach based on finite difference time domain(FDTD)is utilized to study the absorption and shielding characteristics of a two-dimensional(2D)MXene Ti_(3)C_(2)T_(x) metasurface absorber in the THz band.The proposed metamaterial structure is made up of a square-shaped array of MXene that is 50 nmthick and is placed on top of a silicon substrate.The bottom surface of the silicon is metalized with gold to reduce the transmission and ultimately enhance the absorption at 1–3 THz.The symmetric adjacent space between theMXene array results in a widening of bandwidth.The proposed metasurface achieves 96%absorption under normal illumination of the incident source and acquires an average of 25 dB shielding at 1 THz bandwidth,with the peak shielding reaching 65 dB.The results show that 2D MXene-based stacked metasurfaces can be proven in the realization of low-cost devices for THz shielding and sensing applications. | Zaka Ullah Muath Al Hasanl Ismail Ben Mabrouk Muhammad Junaid Fawad Sheikh | 2023 | Computers, Materials & Continua2023，，5： | 0 |
| 16 | Experimental Evaluation of Trilateration-Based Outdoor Localizationwith LoRaWAN显示文摘Long Range Wide Area Network (LoRaWAN) in the Internet ofThings (IoT) domain has been the subject of interest for researchers. Thereis an increasing demand to localize these IoT devices using LoRaWAN dueto the quickly growing number of IoT devices. LoRaWAN is well suited tosupport localization applications in IoTs due to its low power consumptionand long range. Multiple approaches have been proposed to solve the localizationproblem using LoRaWAN. The Expected Signal Power (ESP) basedtrilateration algorithm has the significant potential for localization becauseESP can identify the signal’s energy below the noise floor with no additionalhardware requirements and ease of implementation. This research articleoffers the technical evaluation of the trilateration technique, its efficiency,and its limitations for the localization using LoRa ESP in a large outdoorpopulated campus environment. Additionally, experimental evaluations areconducted to determine the effects of frequency hopping, outlier removal, andincreasing the number of gateways on localization accuracy. Results obtainedfrom the experiment show the importance of calculating the path loss exponentfor every frequency to circumvent the high localization error because ofthe frequency hopping, thus improving the localization performance withoutthe need of using only a single frequency. | Saeed Ahmed Magsi Mohd Haris Bin Md Khir Illani Bt Mohd Nawi Muath Al Hasan Zaka Ullah Fasih Ullah Khan Abdul Saboor Muhammad Aadil Siddiqui | 2023 | Computers, Materials & Continua2023，，4： | 0 |
| 17 | COVID-19 Public Sentiment Insights: A Text Mining Approach to the Gulf Countries显示文摘Social media has been the primary source of information from mainstream news agencies due to the large number of users posting their feedback.The COVID-19 outbreak did not only bring a virus with it but it also brought fear and uncertainty along with inaccurate and misinformation spread on social media platforms.This phenomenon caused a state of panic among people.Different studies were conducted to stop the spread of fake news to help people cope with the situation.In this paper,a semantic analysis of three levels(negative,neutral,and positive)is used to gauge the feelings of Gulf countries towards the pandemic and the lockdown,on basis of a Twitter dataset of 2 months,using Natural Language Processing(NLP)techniques.It has been observed that there are no mixed emotions during the pandemic as it started with a neutral reaction,then positive sentiments,and lastly,peaks of negative reactions.The results show that the feelings of the Gulf countries towards the pandemic depict approximately a 50.5%neutral,a 31.2%positive,and an 18.3%negative sentiment overall.The study can be useful for government authorities to learn the discrepancies between different populations from diverse areas to overcome the COVID-19 spread accordingly. | Saleh Albahli Ahmad Algsham Shamsulhaq Aeraj Muath Alsaeed Muath Alrashed Hafiz Tayyab Rauf Muhammad Arif Mazin Abed Mohammed | 2021 | Computers, Materials & Continua2021，，5： | 0 |
| 18 | Machine learning enabled identification and real-time prediction of living plants’ stress using terahertz waves显示文摘Considering the ongoing climate transformations, the appropriate and reliable phenotyping information of plant leaves is quite significant for early detection of disease, yield improvement. In real-life digital agricultural environment, the real-time prediction and identification of living plants leaves has immensely grown in recent years. Hence, cost-effective and automated and timely detection of plans species is vital for sustainable agriculture. This paper presents a novel, non-invasive method aiming to establish a feasible, and viable technique for the precise identification and observation of altering behaviour of plants species at cellular level for four consecutive days by integrating machine learning (ML) and THz with a swissto12 materials characterization kit (MCK) in the frequency range of 0.75 to 1.1 THz. For this purpose, measurements observations data of seven various living plants leaves were determined and incorporate three different ML algorithms such as random forest (RF), support vector machine, (SVM), and K-nearest neighbour (KNN). The results demonstrated that RF exhibited higher accuracy of 98.87% followed by KNN and SVM with an accuracy of 94.64% and 89.67%, respectively, for precise detection of different leaves by observing their morphological features. In addition, RF outperformed other classifiers for determination of water-stressed leaves and having an accuracy of 99.42%. It is envisioned that proposed study can be proven beneficial and vital in digital agriculture technology for the timely detection of plants species to significantly help in mitigate yield and economic losses and improve crops quality. | Adnan Zahid Kia Dashtipour Hasan T.Abbas Ismail Ben Mabrouk Muath Al-Hasan Aifeng Ren Muhammad A.Imran Akram Alomainy Qammer H.Abbasi | 2022 | Defence Technology(防务技术)2022，18，8： | 0 |
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