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Combined Application of Biostimulants and EDTA Improved Wheat Productivity under Cadmium Stress

Phyton-International Journal of Experimental Botany 2024年第7期93卷 1647-1665页

作者： Abida Aziz Shafiqa Bano Mubshar Hussain Muhammad Farooq Azhar Ghulam Yasin Naila Hadayat Iqra Arooj Abeer Hashem ajay Kumar Elsayed Fathi Abd_Allah Qamar uz Zaman Department of Botany The Women UniversityMultan54500Pakistan Institute of Agronomy Bahauddin Zakariya UniversityMultan60800Pakistan Department of Forestry and Range Management Bahauddin Zakariya UniversityMultan60800Pakistan Department of Botany Division of Science&TechnologyUniversity of EducationLahore54770Pakistan Department of Microbiology&Molecular Genetics The Women UniversityMultan54500Pakistan Botany and Microbiology Department College of ScienceKing Saud UniversityRiyadh201313Saudi Arabia Amity Institute of Biotechnology Amity UniversityNoida201313India Plant Production Department College of Food and Agricultural SciencesKing Saud UniversityRiyadh11451Saudi Arabia School of Agriculture Yunnan UniversityKunmingYunan650504China Department of Environmental Sciences The University of LahoreLahore54590Pakistan

Wheat(Triticum aestivum L.)exhibits a greater capacity for cadmium(Cd)absorption compared to other cereal crops,leading to elevated daily Cd intake,and posing a signiﬁcant threat to public *** the mitigation of Cd stress in sustainable and environmentally friendly way,a pot study was designed by using exogenous application of various biostimulants,i.e.,Nigella sativa and Ocimum sanctum extracts:0%,10%,and 20%in combination with the chelating agent ethylenediaminetetraacetic acid(EDTA)using 0 and 5 mg kg^(-1) under various levels of Cd stress(i.e.,0,5,10,and 15 mg kg^(-1) soil).Results revealed that Cd stress signiﬁcantly reduced the seed emergence,growth,root,and allometric characters and yield-related parameters of wheat *** most observable reduc-tion was documented in wheat plants exposed to a higher Cd concentration(15 mg kg^(-1)),followed by the lower Cd level(control).The combined application of bio-stimulants and EDTA minimized the negative impacts of Cd *** highest increase in seedling emergence(5.44%),leaf area(50.60%),number of tillers(31.02%),grain yield per plant(24.28%),biological yield(13.97%),and decrease in Cd levels in grains(40%)was noticed where 20%foliar application of *** and 10%of *** biostimulants were done using 5 mg kg^(-1) of soil-applied *** intervention demonstrated a notable reduction in Cd-induced negative effects,highlighting the potential of these substances in promoting sustainable wheat cultivation in contaminated ***,it is an eco-friendly and approachable method at theﬁeld level able to ensure food safety.

关键词： Abiotic stress allometric characters antioxidant activity crop yield seed emergence grain yield

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Deep Learning-Based Speech Emotion Recognition: Leveraging Diverse Datasets and Augmentation Techniques for Robust Modeling

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Journal of Harbin Institute of Technology(New series) 2024年

作者： Ayush Porwal Praveen Kumar Tyagi ajay Sharma Dheeraj Kumar Agarwal Department of Electronics and Instrumentation Engineering Shri G.S.Institute of Technology and Science Department of Electronics and Communication Engineering Maulana Azad National Institute of Technology School of Computing Science and Engineering VIT Bhopal University

In recent years， Speech Emotion Recognition (SER) has developed into an essential instrument for interpreting human emotions from auditory data. The proposed research focused on the development of a SER system employing deep learning and multiple datasets containing samples of emotive speech. The primary objective of this research endeavor is to investigate the utilization of Convolutional Neural Networks (CNNs) in the process of sound feature extraction. Stretching， pitch manipulation， and noise injection are a few of the techniques utilized in this study to improve the data quality. The investigation includes coverage of these methods. Feature extraction methods including Zero Crossing Rate， Chroma＿stft， MFCC， RMS， and MelSpectogram are used to train a model. By using these techniques， audio signals can be transformed into recognized features that can be utilized to train the model. Ultimately， the study will produce a thorough evaluation of the model’s performance. When this method was applied， the model achieved an impressive accuracy of 94.57% on the test dataset. Proposed work also validated on EMO-BD and IEMOCAP dataset. These consist of further data augmentation， feature engineering， and hyperparameter optimization. By following these development paths， SER systems will be able to be implemented in real-world scenarios with greater accuracy and resilience.

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Echocardiographic predictors and associated outcomes of multiple vegetations in infective endocarditis:A pilot study

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World Journal of Cardiology 2024年第6期16卷 318-328页

作者： ajay Kumar Mishra Kannu Bansal Ibragim Al-Seykal Pradnya B Bhattad Anu Anna George Anil Jha Nitish Sharma Jennifer Sargent Mark J Kranis Division of Cardiology Saint Vincent HospitalWorcesterMA 01608United States Department of Internal Medicine Saint Vincent HospitalWorcesterMA 01608United States Department of Medicine Division of CardiologySaint Vincent HospitalWorcesterMA 01608United States Division of Cardiovascular Medicine Saint Vincent HospitalWorcesterMA 01608United States

BACKGROUND Infective endocarditis(IE)is a life-threatening infection with an annual mortality of 40%.Embolic events reported in up to 80%of *** of>10 mm size are associated with increased embolic events and poor *** is a paucity of literature on the association of multiple vegetations with *** To study the echocardiographic(ECHO)features and outcomes associated with the presence of multiple *** In this retrospective,single-center,cohort study patients diagnosed with IE were recruited from June 2017 to June 2019.A total of 84 patients were diagnosed to have IE,of whom 67 with vegetation were *** demographic,clinical,laboratory,and ECHO parameters were *** that were studied included recurrent admission,embolic phenomenon,and *** Twenty-three(34%)patients were noted to have multiple vegetations,13(56.5%)were male and 10(43.5%)were *** mean age of these patients was ***(35%)had a prior episode of *** features of moderate to severe valvular regurgitation[odds ratio(OR)=4],presence of pacemaker lead(OR=4.8),impaired left ventricle(LV)relaxation(OR=4),and elevated pulmonary artery systolic pressure(PASP)(OR=2.2)are associated with higher odds of multiple *** these moderate to severe valvular regurgitation(P=0.028),pacemaker lead(P=0.039)and impaired relaxation(P=0.028)were statistically *** patients were noted to have an increased association of recurrent admissions(OR=3.6),recurrent bacteremia(OR=2.4),embolic phenomenon(OR=2.5),intensive care unit stay(OR=2.8),hypotension(OR=2.1),surgical intervention(OR=2.8)and device removal(OR=4.8).Of this device removal(P=0.039)and recurrent admissions(P=0.017)were statistically *** This study highlights the associations of ECHO predictors and outcomes in patients with IE having multiple *** features of moderate to severe regurgitation,presence of pacemaker lead,impai

关键词： Endocarditis Echocardiography Vegetations Predictors Outcome

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Recharge and vulnerability assessment of groundwater resources in North west India:Insights from isotope-geospatial modelling approach

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Geoscience Frontiers 2024年第1期15卷 247-262页

作者： Annadasankar Roy Sitangshu Chatterjee Uday Kumar Sinha Anil Kumar Jain Hemant Mohokar ajay Jaryal Tirumalesh Keesari Harish Jagat Pant Isotope and Radiation Application Division Bhabha Atomic Research CentreTrombayMumbai–400085India Homi Bhabha National Institute Mumbai 400094India Central Ground Water Board AhmedabadGujaratIndia

Recent studies indicate dwindling groundwater quantity and quality of the largest regional aquifer system in North West India,raising concern over freshwater availability to about 182 million population residing in this *** agricultural activities have resulted severe groundwater pollution in this area,demanding a systematic vulnerability assessment for proactive *** vulnerability assessment models encounter drawbacks due to subjectivity,complexity,data-prerequisites,and spatial-temporal *** study incorporates isotopic information into a weighted-overlay framework to overcome the above-mentioned limitations and proposes a novel vulnerability assessment *** isotope methodology provides crucial insights on groundwater recharge mechanisms(18O and 2H)and dynamics(3H)-often ignored in vulnerability *** characterisation of precipitation helped in establishing Local Meteoric Water Line(LMWL)as well as inferring contrasting recharge mechanisms operating in different *** aquifer(depth<60 m)showed significant evaporative signature with evaporation loss accounting up to 18.04%based on Rayleigh distillation ***-aquifer connections were apparent from Kernel Density Estimate(KDE)and isotope correlations.A weighted overlay isotope-geospatial model was developed combining 18O,3H,aquifer permeability,and water level *** central and northern parts of study area fall under least(0.29%)and extremely(1.79%)vulnerable zones respectively,while majority of the study area fall under moderate(42.71%)and highly vulnerable zones(55.20%).Model validation was performed using groundwater NO3-concentration,which showed an overall accuracy up to 82%.Monte Carlo Simulation(MCS)was performed for sensitivity analysis and permeability was found to be the most sensitive input parameter,followed by 3H,18O,and water *** the vulnerability map with Land Use Land Cover(LULC)and population density maps

关键词： Agricultural pollution Data scarcity Recharge mechanism Rayleigh distillation Isotope-geospatial model Vulnerability assessment

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Paradigm shift in transfusion practices during early COVID-19 pandemic:A single center retrospective study

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World Journal of Virology 2024年第2期13卷 78-86页

作者： Sumukh Arun Kumar Sushmita Prabhu Ankushi Sanghvi Maya Gogtay Mithil Gowda Suresh Harshit Khosla Yuvaraj Singh ajay Kumar Mishra Susan George Department of Internal Medicine Saint Vincent HospitalWorcesterMA 01608United States Department of Hematology and Oncology University of Nebraska Medical CenterOmahaNE 68198United States Hospice and Palliative Care UTHSC and McGovern School of MedicineTexasTX 77030United States Department of Gastroenterology and Hepatology UMass Chan Medical SchoolWorcesterMA 01655United States Division of Cardiology Saint Vincent HospitalWorcesterMA 01608United States

BACKGROUND The advent of coronavirus disease 2019(COVID-19)unveiled the worst national blood crisis that the United States had witnessed in over a *** the pandemic influencing the different stages of the acquisition of blood products outside the hospital setting,we aimed to explore the possible barriers contributing to the shortage of blood products within the medical *** COVID era and pre-COVID *** We conducted a retrospective cross-sectional study on hospitalized patients distinguishing the pattern of blood transfusion during the COVID and pre-COVID era in a community *** was tabulated to include the number of red blood cell(RBC)transfusions and if transfusions met restrictive blood transfusion criteria as per institutional ***-square was applied to test the statistical association between qualitative *** t test and Mann Whitney U test were applied respectively to test the mean difference of quantitative *** A total of 208 patients were included in the study,of which 108 were during COVID era and 100 were during pre-COVID *** leading reason for admission in both the COVID era and pre-COVID era transfused patients was shortness of breath(53.7%and 36%P=0.001),followed by gastrointestinal bleeding(25.9%and 21%P=0.001).There was a higher percentage of RBC transfusions in the intensive care unit in the COVID-era group than in the pre-COVID era group(38.9%vs 22%,P=0.008).The restrictive transfusion criteria were met in 62%vs 79%in the COVID and pre-COVID eras,respectively(P=0.008).CONCLUSION The COVID-era group received RBC transfusions with less stringent adherence to restrictive blood transfusion practices in comparison to pre-COVID era group.

关键词： Blood transfusion Restrictive transfusion COVID-19 Pre-COVID-19 Blood shortage Pandemic

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Global wild rice germplasm resources conservation alliance:World Wild-Rice Wiring

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Molecular Plant 2024年第4期17卷 516-518页

作者： Xiaoming Zheng Disna Ratnasekera Jiayu Fan Robert J.Henry Beng-Kah Song Kenneth M.Olsen Bal Krishna Joshi Maria Celeste N.Banaticla-Hilario Tonapha Pusadee Adane Getachew Melaku Yeyinou Laura Estelle Loko Koukham Vilayheuang Gavers K.Oppong Samuel Aduse Poku Peterson W.Wambugu Song Ge Aldo Merotto Junior Ohn Mar Aung Ramaiah Venuprasad ajay Kohli Wenbin Zhou Qian Qian National Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China Sanya National Research Institute of Breeding in Hainan Chinese Academy of Agricultural SciencesBeijing 100081China International Rice Research Institute DAPO Box 7777Metro Manila 4031Philippines Department of Agricultural Biology Faculty of AgricultureUniversity of RuhunaMatara 81000Sri Lanka Yazhouwan National Laboratory No.8 Huanjin RoadYazhou DistrictSanya CityHainan Province 572024China Hainan University Haikou 570228China ARC Centre of Excellence for Plant Success in Nature and Agriculture University of QueenslandBrisbaneQLD4072Australia School of Science Monash University Malaysia47500 Bandar SunwaySelangor 47500Malaysia Department of Biology Washington University in St.LouisSt.LouisMO 63130-4899USA National Agriculture Genetic Resources Center(Genebank) KhumaltarPO Box 3055KathmanduNepal Plant Biology Division Insttute of Biological SciencesUniversity of the Pilippines Los BanosLos BanosLaguna 4031Philippines Division of Agronomy Department of Plant and Soil SciencesFaculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Bio and Emerging Technology Institute Addis Ababa 1165Ethiopia National University of Sciences TechnologiesEngineering and Mathematics(UNSTIM)Dassa-ZouméBP 14Benin National Genebank Rice and Cash Crops Research CenterNAFRIVientiane 0605Lao PDR Plant Sciences and the Bioeconomy Rothamsted ResearchHarpenden AL52JQUK UK Future Food Beacon of Excellence and School of Biosciences and University of Nottingham Nottingham LE125RDUK Department of Plant and Environmental Biology University of GhanaAccraGhana Kenya Agricultural and Livestock Research Organization Genetic Resources Research InstituteNairobi 00200Kenya Institute of Botany Chinese Academy of SciencesBeijing 100093China Federal University of Rio Grande do Sul UFRGSPorto Alegre 91501-970RSBrazil Department of Agricultur

Wild relatives of crop are key genetic resources serving as diversity reservoirs for crop improvement under changing ***(Oryza sativa)is one of the most important crops in the world,providing staple food for half of the world's *** rice is thus a critical germplasm resource for sustained global food security,ensuring high production yields,improved quality,and stress resistance in the face of climate *** rice is closely related to domesticated rice and has a rich genetic diversity and exceptional adaptability to extreme *** has played a pivotal role in the history of rice hybridization and has become a key resource for rice breeding *** identification of wild-type cytoplasmic male sterility resources paved the way for the achievement of the“three lines”goal in hybrid rice,leading to a significant increase in rice *** addition,the use of resistance alleles found in wild rice is making rice production more resilient to losses caused by environmental ***,wild rice germplasm resources are threatened due to habitat destruction and other anthropogenic *** the same time,the lack of centralized distribution of wild rice has hampered the sharing of basic information on wild rice resources and the utilization and conservation of wild rice in each country,as well as collaboration among scientists.

关键词： germplasm breeding crops

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ArthroNet:a monocular depth estimation technique with 3D segmented maps for knee arthroscopy

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智慧医学(英文) 2023年第2期3卷 129-138页

作者： Shahnewaz Ali ajay K.Pandey School of Electrical Engineering and Robotics Queensland University of TechnologyGardens PointBrisbaneQueensland 4001Austrulia

Background Lack of depth perception from medical imaging systems is one of the long-standing technological limitations of minimally invasive *** ability to visualize anatomical structures in 3D can improve conventional arthroscopic surgeries,as a full 3D semantic representation of the surgical site can directly improve surgeons’*** also brings the possibility of intraoperative image registration with preoperative clinical records for the development of semi-autonomous,and fully autonomous *** study aimed to present a novel monocular depth prediction model to infer depth maps from a single-color arthroscopic video *** We applied a novel technique that provides the ability to combine both supervised and self-supervised loss terms and thus eliminate the drawback of each *** enabled the estimation of edge-preserving depth maps from a single untextured arthroscopic *** proposed image acquisition technique projected artificial textures on the surface to improve the quality of disparity maps from stereo ***,following the integration of the attention-ware multi-scale feature extraction technique along with scene global contextual constraints and multiscale depth fusion,the model could predict reliable and accurate tissue depth of the surgical sites that complies with scene *** A total of 4,128 stereo frames from a knee phantom were used to train a network,and during the pre-trained stage,the network learned disparity maps from the stereo *** fine-tuned training phase uses 12,695 knee arthroscopic stereo frames from cadaver experiments along with their corresponding coarse disparity maps obtained from the stereo matching *** a supervised fashion,the network learns the left image to the disparity map transformation process,whereas the self-supervised loss term refines the coarse depth map by minimizing reprojection,gradients,and structural dissimilarity ***,our method produ

关键词： Monocular depth estimation technique 3D segmented maps Knee arthroscopic

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Current innovations and future prospects of metal oxide electrospun materials for supercapacitor technology:A review

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Journal of Materials Science & Technology 2023年第35期166卷 208-233页

作者： Sonali ajay Beknalkar Aviraj Mahadev Teli Jae Cheol Shin Division of Electronics and Electrical Engineering Dongguk University-Seoul30Pildong-roJung-guSeoul 04620South Korea

Metal oxides with one-dimensional(1-D)nanostructures have shown promise as electrode materials for supercapacitors due to their unique properties,such as high aspect ratio,increased interaction between electrode and electrolyte,favourable mechanical strength,and short ion transportation pathways that im-prove the charge-discharge rates of electrons and *** is an effective technique for cre-ating 1-D metal oxide nanostructures that produce highly porous nanofibrous structures with exceptional specific surface areas,predictable pore size distributions,and tunable interconnected *** paper provides a comprehensive review of the literature on electrospun metal oxide nanostructures for superca-pacitors,including the principles and key parameters of electrospinning,an overview of supercapacitors,the charge storage mechanism of electrospun metal oxides,and recent developments in 1-D electrospun nanostructures,from binary to ternary metal *** review also discusses unresolved issues and future directions in this research ***,this paper offers valuable insights into the latest devel-opments,unresolved issues,and prospects of 1-D nanostructured metal oxides fabricated through elec-trospinning for supercapacitor applications,providing a critical analysis of their potential in this rapidly evolving field.

关键词： Electrospinning Supercapacitor Metal oxides New strategies Nanofibers

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Geochemical studies of hybrid granite from Madugulapalli area, Eastern Dharwar Craton, Southern India: Implications for crustal mixing

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Acta Geochimica 2023年第1期42卷 9-23页

作者： Nagamma J Ratnakar J ajay kumar A Ashok Ch State Mines and Geology Department 508001 NalgondaIndia Department of Geology Osmania University500007 HyderabadIndia CSIR-National Geophysical Research Institute 500007 UppalHyderabadIndia

Magma produced by melting of continental crust and mantle at the Archean-Proterozoic boundary are compositionally variable and chemical compositions provide evidence for the mixing of two sources. Understanding the composition of hybrid magma is essential for determining the comparative infl uence of crust and mantle sources during orogenesis. The hybrid granites are less documented in Indian cratons, especially less in Dharwar Craton. Here we present petrographic and whole-rock geochemical data of Madgulapalli granitic rocks situated in the NE part of the Eastern Dharwar Craton(EDC), to elucidate their petrogenesis and role in crust formation. The Madugulapalli granites(MPG) are composed chiefl y of plagioclase, quartz, and alkali feldspar with associated biotite showing alteration and inter-granular textures. Geochemically, they are metaluminous to peraluminous in nature with calc-alkaline hybrid granite. The hybrid granites exhibit both negative and positive europium anomalies;the lower Rb/Sr, Rb, Sr, and higher Sr/Y,(Dy/Yb)N ratios suggest that the interaction of older rocks with residual garnet source melted at high pressures. We hypothesize that hybrid granites are formed by interaction(e.g., metasomatism, mingling, or mixing) between parental magmas and pre-existing rocks with the infl uence of sanukitoid melts(heat source) in a subduction environment. The genesis of the hybrid granites demonstrates the mixing coupled with diff erentiation in the petrogeny’s residue system in a syn-collision setting followed by continental crust stability in EDC during the Neoarchean period.

关键词： Madugulapalli granite Hybrid granite Crustal mixing Subduction

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Arthroscopic scene segmentation using multispectral reconstructed frames and deep learning

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Intelligent Medicine 2023年第4期3卷 243-251页

作者： Shahnewaz Ali Ross Crawford ajay K.Pandey School of Electrical Engineering and Robotics Faculty of EngineeringQueensland University of TechnologyGardens PointBrisbaneQLD 4000Australia

Background Knee arthroscopy is one of the most complex minimally invasive surgeries,and it is routinelyperformed to treat a range of ailments and injuries to the knee *** complex ergonomic design imposesvisualization and navigation constraints,consequently leading to unintended tissue damage and a steep learningcurve before surgeons gain *** lack of robust visual texture and landmark frame features furtherlimits the success of image-guided approaches to knee arthroscopy Feature-and texture-less tissue structures ofknee anatomy,lighting conditions,noise,blur,debris,lack of accurate ground-truth label,tissue degeneration,and injury make semantic segmentation an extremely challenging *** address this complex research problem,this study reported the utility of reconstructed surface reflectance as a viable piece of information that could beused with cutting-edge deep learning technique to achieve highly accurate segmented *** We proposed an intraoperative,two-tier deep learning method that makes full use of tissue reflectanceinformation present within an RGB frame to segment texture-less images into multiple tissue types from kneearthroscopy video *** study included several cadaver knees experiments at the Medical and EngineeringResearch Facility,located within the Prince Charles Hospital campus,Brisbane *** were collectedfrom a total of five cadaver knees,three were males and one from a *** age range of the donors was 56–93 ***-related tissue degeneration and some anterior cruciate ligament injury were observed in mostcadaver *** arthroscopic image dataset was created and subsequently labeled by clinical *** also included validation of a prototype stereo arthroscope,along with conventional arthroscope,to attainlarger field of view and stereo *** reconstructed surface reflectance from camera responses that exhibiteddistinct spatial features at different wavelengths ranging from 3

关键词： Knee arthroscopy Segmentation Multispectral reconstructed Deep learning

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