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Comparison of methods for deriving phenotypes from incomplete observation data with an application to age at puberty in dairy cattle

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Journal of Animal Science and Biotechnology 2024年第2期15卷 535-545页

作者： Melissa A.Stephen Chris R.Burke Jennie E.Pryce Nicole M.Steele peter R.Amer Susanne Meier Claire V.C.Phyn Dorian J.Garrick DairyNZ Ltd 605 Ruakura RoadHamilton 3240New Zealand AL Rae Centre for Genetics and Breeding-Massey University RuakuraHamilton 3214New Zealand Agriculture Victoria Research AgriBioCentre for AgriBioscienceBundooraVictoria 3083Australia School of Applied Systems Biology La Trobe UniversityBundooraVictoria 3083Australia AbacusBio DunedinNew Zealand

Background Many phenotypes in animal breeding are derived from incomplete measures,especially if they are challenging or expensive to measure *** include time-dependent traits such as reproductive status,or *** measures for these traits result in phenotypes that are subject to left-,interval-and rightcensoring,where phenotypes are only known to fall below an upper bound,between a lower and upper bound,or above a lower bound *** we compare three methods for deriving phenotypes from incomplete data using age at first elevation(>1 ng/mL)in blood plasma progesterone(AGEP4),which generally coincides with onset of puberty,as an example *** We produced AGEP4 phenotypes from three blood samples collected at about 30-day intervals from approximately 5,000 Holstein–Friesian or Holstein–Friesian×Jersey cross-bred dairy heifers managed in 54 seasonal-calving,pasture-based herds in New *** used these actual data to simulate 7 different visit scenarios,increasing the extent of censoring by disregarding data from one or two of the three *** methods for deriving phenotypes from these data were explored:1)ordinal categorical variables which were analysed using categorical threshold analysis;2)continuous variables,with a penalty of 31 d assigned to right-censored phenotypes;and 3)continuous variables,sampled from within a lower and upper bound using a data augmentation *** Credibility intervals for heritability estimations overlapped across all methods and visit scenarios,but estimated heritabilities tended to be higher when left censoring was *** sires with at least 5 daughters,the correlations between estimated breeding values(EBVs)from our three-visit scenario and each reduced data scenario varied by method,ranging from 0.65 to *** estimated breed effects also varied by method,but breed differences were smaller as phenotype censoring *** Our results indicate that using

关键词： Cattle Gibbs sampler Markov-chain Monte Carlo(MCMC) Puberty

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Assessment of molecular markers and marker-assisted selection for drought tolerance in barley(Hordeum vulgare L.)

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Journal of Integrative Agriculture 2024年第1期23卷 20-38页

作者： Akmaral Baidyussen Gulmira Khassanova Maral Utebayev Satyvaldy Jatayev Rystay Kushanova Sholpan Khalbayeva Aigul Amangeldiyeva Raushan Yerzhebayeva KulpashBulatova Carly Schramm peter Anderson Colin L.D.Jenkins Kathleen LSoole Yuri Shavrukov Faculty of Agronomy S.Seifullin Kazakh AgroTechnical Research UniversityAstana 010000Kazakhstan A.I.Barayev Research and Production Centre of Grain Farming Shortandy 021601Kazakhstan Kazakh Research Institute of Agriculture and Plant Growing AlmalybakAlmaty District 040909Kazakhstan College of Science and Engineering Biological SciencesFlinders UniversityAdelaideSA 5042Australia

This review updates the present status of the field of molecular markers and marker-assisted selection(MAS),using the example of drought tolerance in *** accuracy of selected quantitative trait loci(QTLs),candidate genes and suggested markers was assessed in the barley genome *** common strategies are described for molecular marker development,candidate gene identification and verification,and their possible applications in MAS to improve the grain yield and yield components in barley under drought *** strategies are based on the following five principles:(1)Molecular markers are designated as genomic‘tags’,and their‘prediction’is strongly dependent on their distance from a candidate gene on genetic or physical maps;(2)plants react differently under favourable and stressful conditions or depending on their stage of development;(3)each candidate gene must be verified by confirming its expression in the relevant conditions,e.g.,drought;(4)the molecular marker identified must be validated for MAS for tolerance to drought stress and improved grain yield;and(5)the small number of molecular markers realized for MAS in breeding,from among the many studies targeting candidate genes,can be explained by the complex nature of drought stress,and multiple stress-responsive genes in each barley genotype that are expressed differentially depending on many other factors.

关键词： barley candidate genes drought tolerance gene verification via expression grain yield marker-assisted selection(MAS) molecular markers quantitative trait loci(QTLs) strategy for MAS

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基于主从博弈的燃气-太阳能-地热能耦合系统运行优化

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太阳能学报 2024年第7期45卷 333-339页

作者：李昌杰陈玉柱秦方李贤培王军 Lund peter 江苏省太阳能技术重点实验室东南大学能源与环境学院南京210096 中国电建集团华东勘测研究院有限公司杭州311122 芬兰阿尔托大学科学学院艾斯堡FI-00076

为提高能源利用率与经济性,提出一种基于博弈论中主从博弈的燃气-太阳能-地热能集成综合能源系统优化运行策略。首先建立综合能源系统模型,将其嵌套入博弈理论的框架下,建立主从博弈的运行优化模型,将能源聚合商作为领导者,综合能源系... 详细信息

为提高能源利用率与经济性,提出一种基于博弈论中主从博弈的燃气-太阳能-地热能集成综合能源系统优化运行策略。首先建立综合能源系统模型,将其嵌套入博弈理论的框架下,建立主从博弈的运行优化模型,将能源聚合商作为领导者,综合能源系统和负荷终端用户作为跟随者,在各方追逐目标最优时实现经济性、环保性和节约性。最后通过算例验证了所提方法的有效性,聚合商、供能系统和终端用户均能实现最优的综合性能。

关键词：电力负荷调度分布式能源博弈论综合能源系统运行优化

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New Approaches to the Prognosis and Diagnosis of Breast Cancer Using Fuzzy Expert Systems

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Journal of Computer and Communications 2024年第5期12卷 151-169页

作者： Elias Ayinbila Apasiya Abdul-Mumin Salifu peter Awon-Natemi Agbedemnab Department of Computer Science School of Computing and Information Sciences C. K. Tedam University of Technology and Applied Sciences Navrongo Ghana

Breast cancer remains a significant global health challenge, necessitating effective early detection and prognosis to enhance patient outcomes. Current diagnostic methods, including mammography and MRI, suffer from limitations such as uncertainty and imprecise data, leading to late-stage diagnoses. To address this, various expert systems have been developed, but many rely on type-1 fuzzy logic and lack mobile-based applications for data collection and feedback to healthcare practitioners. This research investigates the development of an Enhanced Mobile-based Fuzzy Expert system (EMFES) for breast cancer pre-growth prognosis. The study explores the use of type-2 fuzzy logic to enhance accuracy and model uncertainty effectively. Additionally, it evaluates the advantages of employing the python programming language over java for implementation and considers specific risk factors for data collection. The research aims to dynamically generate fuzzy rules, adapting to evolving breast cancer research and patient data. Key research questions focus on the comparative effectiveness of type-2 fuzzy logic, the handling of uncertainty and imprecise data, the integration of mobile-based features, the choice of programming language, and the creation of dynamic fuzzy rules. Furthermore, the study examines the differences between the Mamdani Inference System and the Sugeno Fuzzy Inference method and explores challenges and opportunities in deploying the EMFES on mobile devices. The research identifies a critical gap in existing breast cancer diagnostic systems, emphasizing the need for a comprehensive, mobile-enabled, and adaptable solution by developing an EMFES that leverages Type-2 fuzzy logic, the Sugeno Inference Algorithm, Python Programming, and dynamic fuzzy rule generation. This study seeks to enhance early breast cancer detection and ultimately reduce breast cancer-related mortality.

关键词： EMFES Breast Cancer Type-2 Fl Soft Computing Membership Functions Fuzzy Set Fuzzy Rules Risk Factors.

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Advancing Malaria Prediction in Uganda through AI and Geospatial Analysis Models

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Journal of Geographic Information System 2024年第2期16卷 115-135页

作者： Maria Assumpta Komugabe Richard Caballero Itamar Shabtai Simon peter Musinguzi Center for Information Systems & Technology Claremont Graduate University Claremont California USA Department of Information Technology Faculty of Business and ICT University of Kisubi Entebbe Uganda Faculty of Health Sciences University of Kisubi Entebbe Uganda Department of Agriculture Production Faculty of Agriculture Kyambogo University Kyambogo Uganda Department of Agriculture and Natural Sciences Faculty of Agriculture Uganda Martyrs University Kampala Uganda

The resurgence of locally acquired malaria cases in the USA and the persistent global challenge of malaria transmission highlight the urgent need for research to prevent this disease. Despite significant eradication efforts, malaria remains a serious threat, particularly in regions like Africa. This study explores how integrating Gregor’s Type IV theory with Geographic Information Systems (GIS) improves our understanding of disease dynamics, especially Malaria transmission patterns in Uganda. By combining data-driven algorithms, artificial intelligence, and geospatial analysis, the research aims to determine the most reliable predictors of Malaria incident rates and assess the impact of different factors on transmission. Using diverse predictive modeling techniques including Linear Regression, K-Nearest Neighbor, Neural Network, and Random Forest, the study found that;Random Forest model outperformed the others, demonstrating superior predictive accuracy with an R2 of approximately 0.88 and a Mean Squared Error (MSE) of 0.0534, Antimalarial treatment was identified as the most influential factor, with mosquito net access associated with a significant reduction in incident rates, while higher temperatures correlated with increased rates. Our study concluded that the Random Forest model was effective in predicting malaria incident rates in Uganda and highlighted the significance of climate factors and preventive measures such as mosquito nets and antimalarial drugs. We recommended that districts with malaria hotspots lacking Indoor Residual Spraying (IRS) coverage prioritize its implementation to mitigate incident rates, while those with high malaria rates in 2020 require immediate attention. By advocating for the use of appropriate predictive models, our research emphasized the importance of evidence-based decision-making in malaria control strategies, aiming to reduce transmission rates and save lives.

关键词： Malaria Predictive Modeling Geospatial Analysis Climate Factors Preventive Measures

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Anesthetic consideration in Meigs syndrome with large pleural effusion and lung collapse

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Journal of Acute Disease 2024年第1期13卷 43-44,I0006,I0007页

作者： Shalendra Singh Deepak Mishra Deepu K peter Munish Sood Department of Anaesthesiology and Critical Care Command Hospital(NC)UdhampurIndia Department of Anaesthesiology and Critical Care Command Hospital(SC)PuneIndia Department of Pulmonary Medicine Command Hospital(NC)UdhampurIndia Department of Orthopaedics INHSMumbaiIndia

Meigs syndrome(MS)is characterized by a benign ovarian tumor(fibroma),hydrothorax on the right side,and ascites;which can be resolved permanently after *** literature reveals that most MS surgeries were performed under general anesthesia(GA)[1].However,GA poses major risks to the *** the high risk of gastric content regurgitation,poor general condition or dyselectrolytemia may lead to delayed arousal,and associated multi-organ *** mechanical ventilation is also difficult due to ascites and hydrothorax(reduced cardiac output,impaired ventilation-perfusion in lungs causing hypoxia and hypercapnia)[1,2].In this letter,we report a case of MS tumor resection under the subarachnoid block(SAB)to mitigate these issues and also review the complications associated with both techniques.

关键词： anesthesia impaired ascites

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Rational Design and Construction of a CdS QDs/lnVO_(4) Atomic-Layer(110)/(110)Facet S-Scheme Heterojunction for Highly Efficient Photocatalytic Degradation of C_(2)H_(4)

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Energy & Environmental Materials 2024年第3期7卷 211-218页

作者： Yuanpeng Dong Peizhu Ji Xinyue Xu Rong Li Yin Wang Kevin peter Homewood Xiaohong Xia Yun Gao Xuxing Chen Ministry of Education Key Laboratory for the Green Preparation and Application of Functional Materials School of Materials Science&EngineeringHubei UniversityWuhan 430062China Hubei Key Laboratory of Low Dimensional Optoelectronic Materials and Devices Hubei University of Arts and ScienceXiangyang 441053China State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China United Water(Xianning)Company Limited Xianning 437100China

Exploring high efficiency S-scheme heterojunction photocatalysts with strong redox ability for removing volatile organic compounds from the air is of great interest and ***,how to predict and regulate the transport of photogenerated carriers in heterojunctions is a great ***,density functional theory calculations were first used to successfully predict the formation of a CdS quantum dots/InVO_(4)atomic-layer(110)/(110)facet S-scheme ***,a CdS quantum dots/InVO_(4)atomic-layer was synthesized by in-situ loading of CdS quantum dots with(110)facets onto the(110)facets of InVO_(4)*** a result of the deliberately constructed built-in electric field between the adjoining facets,we obtain a remarkably enhanced photocatalytic degradation rate for *** rate is 13.8 times that of pure CdS and 13.2 times that of pure InVO_(4).In-situ irradiated X-ray photoelectron spectroscopy,photoluminescence and time-resolved photoluminescence measurements were carried *** experiments validate that the built-in electric field enhanced the dissociation of photoexcited excitons and the separation of free charge carriers,and results in the formation of S-scheme charge transfer *** reaction mechanism of the photocatalytic C_(2)H_(4)oxidation is investigated by in-situ electron paramagnetic *** work provides a mechanistic insight into the construction and optimization of semiconductor heterojunction photocatalysts for application to environmental remediation.

关键词： CdS QDs InVO_(4)atomic-layer photocatalysis S-scheme volatile organic compounds

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Nonlinear Rydberg exciton-polaritons in Cu2O microcavities

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Light(Science & Applications) 2024年第4期13卷 619-627页

作者： Maxim Makhonin Anthonin Delphan Kok Wee Song Paul Walker Tommi Isoniemi peter Claronino Konstantinos Orfanakis Sai Kiran Rajendran Hamid Ohadi Julian Heckötter Marc Assmann Manfred Bayer Alexander Tartakovskii Maurice Skolnick Oleksandr Kyriienko Dmitry Krizhanovskii Department of Physics and Astronomy University of SheffieldSheffield S37RHUK. Department of Physics and Astronomy University of ExeterStocker RoadExeter EX44PYUK. SUPA School of Physics and AstronomyUniversity of St AndrewsSt Andrews KY169SSUK. Fakultät Physik TU DortmundAugust-Schmidt-Straße 444227 DortmundGermany

Rydberg excitons(analogues of Rydberg atoms in condensed matter systems)are highly excited bound electron-hole states with large Bohr *** interaction between them as well as exciton coupling to light may lead to strong optical nonlinearity,with applications in sensing and quantum information ***,we achieve strong effective photon–photon interactions(Kerr-like optical nonlinearity)via the Rydberg blockade phenomenon and the hybridisation of excitons and photons forming polaritons in a Cu2O-filled *** pulsed resonant excitation polariton resonance frequencies are renormalised due to the reduction of the photon-exciton coupling with increasing exciton *** analysis shows that the Rydberg blockade plays a major role in the experimentally observed scaling of the polariton nonlinearity coefficient as∝n4.4±1.8 for principal quantum numbers up to n=*** high principal quantum numbers studied in a polariton system for the first time are essential for realisation of high Rydberg optical nonlinearities,which paves the way towards quantum optical applications and fundamental studies of strongly correlated photonic(polaritonic)states in a solid state system.

关键词： density Rydberg polar

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Interdigitated terahertz metamaterial sensors:design with the dielectric perturbation theory

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Photonics Research 2024年第6期12卷 1115-1128页

作者： LEI CAO FANQI MENG ESRAÖZDEMIR YANNIK LOTH MERLE RICHTER ANNA KATHARINA WIGGER MAIRA BEATRIZ PÉREZ SOSA ALAA JABBAR JUMAAH SHIHAB AL-DAFFAIE peter HARING BOLÍVAR HARTMUT G.ROSKOS State Key Laboratory of Advanced Electromagnetic Technology Huazhong University of Science and TechnologyWuhan 430074China Physikalisches Institut Johann Wolfgang Goethe-UniversitätFrankfurt am MainGermany University of Siegen Institute for High Frequency and Quantum ElectronicsSiegenGermany Department of Electrical Engineering Eindhoven University of Technology5612 AE EindhovenThe Netherlands

Designing terahertz sensors for highly sensitive detection of nanoscale thin films and a few biomolecules poses a substantial challenge but is crucial for unlocking their full potential in scientific research and advanced *** work presents a strategy for optimizing metamaterial sensors in detecting small quantities of dielectric *** amount of frequency shift depends on intrinsic properties(electric field distribution,Q-factor,and mode volume)of the bare cavity as well as the overlap volume of its high-electric-field zone(s)and the *** by the simplified dielectric perturbation theory,interdigitated electric split-ring resonators(ID-eSRRs)are devised to significantly enhance the detection sensitivity compared with eSRRs without interdigitated ***-eSRR’s fin-gers redistribute the electric field,creating strongly localized enhancements,which boost analyte *** periodic change of the inherent antiphase electric field reduces radiation loss,leading to a higher *** with ID-eSRR sensors operating at around 300 GHz demonstrate a remarkable 33.5 GHz frequency shift upon depositing a 150 nm SiO_(2)layer as an analyte simulant,with a figure of merit improvement of over 50 times compared with structures without interdigitated *** rational design offers a promising avenue for highly sensitive detection of thin films and trace biomolecules.

关键词： dielectric perturbation theory

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Nucleation of Supercooled Water by Neutrons: Latitude Dependence and Implications for Cloud Modelling

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Atmospheric and Climate Sciences 2024年第2期14卷 221-232页

作者： peter W. Wilson Elizabeth Wilson-Park Abraham G. Wilson Department of Physics The University at Albany SUNY Albany USA Scripps Institution of Oceanography University of California San Diego USA Philanthropy Australia Sydney Australia The King’ s Institute The King&#8217s School Parramatta Australia

It has recently been shown that incident particles, neutrons, can initiate the freezing in a supercooled water volume. This new finding may have ramifications for the interpretation of both experimental data on the nucleation of laboratory samples of supercooled water and perhaps more importantly on the interpretation of ice nucleation involved in cloud physics. For example, if some fraction of the cloud nucleation previously attributed to dust, soot, or aerosols has been caused by cosmogenic neutrons, fresh consideration is required in the context of climate models. Moreover, as cosmogenic neutrons, most being muon-induced, have much greater flux at high latitudes, estimates of ice nucleates in these regions may be larger than required to accurately model cloud and condensation properties. This discrepancy has been pointed out in IPCC reports. Our paper discusses the connection between the new concept of neutrons nucleating supercooled water and the need for a new source of nucleation in high latitude clouds, ideally causing others to review current data, or to analyse future data with this idea in mind. .

关键词： Climate Models Ice Nucleation Neutrons Supercooling

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