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Seasonal variations in dissolved organic matter concentration and composition in an outdoor system for bank filtration simulation

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Journal of environmental Sciences 2024年第1期135卷 252-261页

作者： Muhammad Zeeshan Omamah Ali shamas Tabraiz Aki Sebastian Ruhl German environment Agency Section II 3.3Schichauweg 5812307BerlinGermany Technische Universitat Berlin Water TreatmentKF4Str.des 17.Juni 13510623BerlinGermany Natural and Applied Sciences Section School of Psychology and Life SciencesCanterbury Christ Church UniversityCanterburyCT11QUUK

Dissolved organic matter(DOM)in surface waters can vary markedly in character depending on seasonal variations such as rainfall intensity,UV radiations and *** in DOM as well as temperature and rainfall intensity over the year can affect the biochemical processes occurring in bank filtration(BF).Identification and characterization of DOM in the surface water could help to optimize the water treatment and provide stable and safe drinking *** study investigated year-long variations of DOM concentrations and compositions in a surface water of a circulated outdoor pond(research facility)connected to a BF *** was dominated by humic substances and a changing pattern of DOM in surface water was observed throughout the year.A significant increase of DOM(~38%)in surface water was noted in August compared to *** fluorescent DOM showed that DOM in summer was enriched with the degradable fraction whilst non-degradable fraction was dominated in winter.A constant(1.7±0.1 mg/L)effluent DOM was recirculated in the system throughout the *** removal through BF varied between 4%to 39%and was achieved within a few meters after infiltration and significantly correlated with influent DOM concentration(R^(2)=0.82,pever,no significant(p>0.05)change in the removal of DOM was observed in two subsurface layers(upper and lower).This study highlights the presence of a constant non-degradable DOM in the bank filtrate,which was not affected by temperature,redox conditions and UV radiations.

关键词： Bank filtration Dissolved organic matter Dissolved oxygen Fluorescence spectroscopy excitation-emission matrix

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补充蛋氨酸锌对荷斯坦奶牛乳中体细胞数和乳房炎的影响

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饲料与畜牧（新饲料） 2014年第5期 52-55页

作者： Gaafar H.M.A. M.I.Basiuoni M.F.e.Ali A.A.shitta a.sh.e.shamas 吉隆达集团技术中心吉隆达集团技术中心

该研究选取240头不同泌乳阶段、1～8胎次的荷斯坦奶牛，探讨影响牛奶中体细胞数以及产奶量和乳成分的某些因素。同时，12头健康奶牛、15头亚临床乳房炎奶牛以及15头临床乳房炎奶牛分别分为3组，第1组不添加蛋氨酸锌，第2、5组分别添加... 详细信息

该研究选取240头不同泌乳阶段、1～8胎次的荷斯坦奶牛，探讨影响牛奶中体细胞数以及产奶量和乳成分的某些因素。同时，12头健康奶牛、15头亚临床乳房炎奶牛以及15头临床乳房炎奶牛分别分为3组，第1组不添加蛋氨酸锌，第2、5组分别添加蛋氨酸锌5g／d·头和10g／d·头。亚临床和临床性乳房炎奶牛乳房内注射抗生素（100mg），直到完全康复。研究结果显示，冬季乳中体细胞数最高（P〈0．05），接着是夏季，最低的是秋季。体细胞数的变化是随着泌乳开始产奶量上升到高峰期的过程中呈现下降趋势，之后显著升高（P〈0．05），并且随着泌乳期的增加也在升高。正常奶牛、亚临床乳房炎奶牛和临床乳房炎奶牛的比例分别为77．71％、15．82％以及6．46％。产奶量和乳成分以及产奶收入都随着体细胞数的增加而显著降低（P〈0．05）。补充蛋氨酸锌导致乳中体细胞数显著下降（P〈0．05）。亚临床和临床乳房炎补充蛋氨酸锌显著降低了乳中体细胞数、导电性、康复时间以及与未添加组奶牛相比消耗的费用（P〈0．05）。

关键词：荷斯坦奶牛蛋氨酸锌体细胞数乳房炎

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An Improved Lung Cancer Segmentation Based on Nature-Inspired Optimization Approaches

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Computer Modeling in engineering & Sciences 2024年第2期138卷 1051-1075页

作者： shazia shamas Surya Narayan Panda Ishu sharma Kalpna Guleria Aman Singh Ahmad Ali AlZubi Mallak Ahmad AlZubi Chitkara University Institute of engineering and Technology Chitkara UniversityRajpuraPunjab140401India Higher Polytechnic School Universidad Europea del AtlánticoC/Isabel Torres 21Santander39011Spain Department of engineering Universidad Internacional IberoamericanaAreciboPR00613USA Uttaranchal Institute of Technology Uttaranchal UniversityDehradunUttarakhand248007India Computer Science Department King Saud UniversityRiyadhSaudi Arabia Faculty of Medicine Jordan University of Science and TechnologyIrbidJordan

The distinction and precise identification of tumor nodules are crucial for timely lung cancer diagnosis andplanning intervention. This research work addresses the major issues pertaining to the field of medical imageprocessing while focusing on lung cancer Computed Tomography (CT) images. In this context, the paper proposesan improved lung cancer segmentation technique based on the strengths of nature-inspired approaches. Thebetter resolution of CT is exploited to distinguish healthy subjects from those who have lung cancer. In thisprocess, the visual challenges of the K-means are addressed with the integration of four nature-inspired swarmintelligent techniques. The techniques experimented in this paper are K-means with Artificial Bee Colony (ABC),K-means with Cuckoo Search Algorithm (CSA), K-means with Particle Swarm Optimization (PSO), and Kmeanswith Firefly Algorithm (FFA). The testing and evaluation are performed on early Lung Cancer ActionProgram (eLCAP) database. The simulation analysis is performed using lung cancer images set against metrics:precision, sensitivity, specificity, f-measure, accuracy,Matthews Correlation Coefficient (MCC), Jaccard, and *** detailed evaluation shows that the K-means with Cuckoo Search Algorithm (CSA) significantly improved thequality of lung cancer segmentation in comparison to the other optimization approaches utilized for lung cancerimages. The results exhibit that the proposed approach (K-means with CSA) achieves precision, sensitivity, and Fmeasureof 0.942, 0.964, and 0.953, respectively, and an average accuracy of 93%. The experimental results prove thatK-meanswithABC,K-meanswith PSO,K-meanswith FFA, andK-meanswithCSAhave achieved an improvementof 10.8%, 13.38%, 13.93%, and 15.7%, respectively, for accuracy measure in comparison to K-means segmentationfor lung cancer images. Further, it is highlighted that the proposed K-means with CSA have achieved a significantimprovement in accuracy, hence can be utilized by resea

关键词： Lesion lung cancer segmentation medical imaging meta-heuristic Artificial Bee Colony(ABC) Cuckoo Search Algorithm(CSA) Particle Swarm Optimization(PSO) Firefly Algorithm(FFA) segmentation

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ethnocultural heritage of the North-eastern Caucasus as a factor of eco-tourism development

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Journal of Mountain Science 2024年第8期21卷 2810-2824页

作者： Zaburaeva Khava sh. Complex Research Institute named after Kh.I.Ibragimov of the Russian Academy of Sciences Grozny 366002Russia

The North-east Caucasus is a multi-ethnic mountain macroregion with a rich cultural heritage,insufficiently studied in the context of the ecotourism *** fill this gap and identify promising directions of environmentally safe forms of tourism,the author used in-depth review of modern literature to investigate the features of ecological tourism and the problems of preserving ethno-cultural heritage,and used historical and comparative-geographical methods to analyze the development of the tangible and intangible cultural heritage of the indigenous peoples of the North-eastern Caucasus in different historical periods and to identify the geographical peculiarities of the distribution of historical and cultural monuments(tower buildings),pilgrimage sites and centers of traditional crafts and *** part of the planned expeditions,the author personally visited some historical monuments and handicraft centers for a deeper study of ethno-cultural *** cartographic method made it possible to visualize the *** results of the research show that the ethnocultural heritage of the North-east Caucasus is formed by material(historical and cultural monuments)and immaterial elements of culture(language,customs,traditions,ethnic identification)of those peoples,who live *** ethnocultural heritage is considered as the most important factor in the development of the tourism *** is revealed that this region has a large potential for development in various areas of *** highest concentration of religious buildings focused in mountainous *** tower structures were erected in mountainous and high-altitude *** ancient times to the present day there have been preserved various types of crafts and trades(pottery,metalworking,burka making,jewelry making,carpet weaving,gold embroidery,wood and stone carving,etc.),which can become objects of *** ethnocultural heritage of the North-east Caucasus needs to be preserved a

关键词： Mountainous districts Sustainable development Prospects Stone Towers Folk crafts

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MIMICS联合Voxar软件引导治疗空洞型肺结核1例

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介入放射学杂志 2024年第9期33卷 966-967页

作者：龚正 Nanafosu Yeboah shamas Amjsd 陈俊三峡大学呼吸病研究所宜昌市中心人民医院呼吸科湖北宜昌443003

1 临床资料患者,女,41岁,咳嗽2个月,确诊肺结核并口服抗结核药物异烟肼、利福平、乙胺丁醇、吡嗪酰胺,2个月后痰及肺泡灌洗液检查示结核杆菌DNA阳性。查体:双肺呼吸音清晰,未闻及干湿性啰音。肺部CT提示左肺下叶背段空洞,较2个月前相仿... 详细信息

1 临床资料患者,女,41岁,咳嗽2个月,确诊肺结核并口服抗结核药物异烟肼、利福平、乙胺丁醇、吡嗪酰胺,2个月后痰及肺泡灌洗液检查示结核杆菌DNA阳性。查体:双肺呼吸音清晰,未闻及干湿性啰音。肺部CT提示左肺下叶背段空洞,较2个月前相仿。介入手术过程:患者继续口服抗结核药物治疗,气管镜下行结核空洞内异烟肼灌注治疗;医学影像交互式控制系统(MIMICS)软件三维重建提示背段空洞容积为31.3 mL,医学可视化系统Voxar软件虚拟导航提示为左肺背段C支内侧分支(第5级支气管);给予虚拟导航支气管镜引导,0.3g异烟肼加入5mL利多卡因及15mL0.9%氯化钠溶液(总液体20 mL),导管灌入左肺背段C支外侧分支,术中患者诉轻微背痛及胸闷,无其他不适及并发症。

关键词： MIMICS软件 Voxar软件空洞型肺结核

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enhancing Canola Yield and Photosynthesis under Water Stress with Hydrogel Polymers

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Phyton-International Journal of experimental Botany 2024年第7期93卷 1623-1645页

作者： elham A.Badr Gehan sh.Bakhoum Mervat sh.Sadak Ibrahim Al-Ashkar Mohammad Sohidul Islam Ayman el Sabagh Magdi T.Abdelhamid Field Crops Research Department National Research CentreCairo12622Egypt Botany Department National Research CentreCairo12622Egypt Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadh12271Saudi Arabia Department of Agronomy Hajee Mohammad Danesh Science and Technology UniversityDinajpur5200Bangladesh Department of Field Crops Faculty of AgricultureSiirt UniversitySiirt56100Turkey Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikh33516Egypt Department of Research Centers Montana State UniversityBozemanMT 59717USA

While egypt’s canola production per unit area has recently grown,productivity remains low,necessitating increased *** are water-absorbent polymer compounds that can optimize irrigation schedules by increasing the soil’s ability to retain ***,twoﬁeld experiments were conducted to examine hydrogel application to sandy soil on canola growth,biochemical aspects,yield,yield traits,and nutritional quality of yielded seeds grown under water deﬁcit stress *** experiments were conducted by arranging a split-plot layout in a randomized complete block design(RCBD)with three times replications of each *** water stress at 75%or 50%of crop evapotranspiration(eTc)lowered chlorophyll a,chlorophyll b,caro-tenoids,and total pigments content,indole-3-acetic acid,plant development,seed yield,and oil and total carbo-hydrates of seed yield,hydrogel treatment enhanced all of the traits mentioned ***,hydrogel enhanced to gather compatible solutes(proline,amino acids,total soluble sugars),phenolics content in leaves,seed protein,and crop water productivity,which increased while the plants were under water *** results revealed that the full irrigation(100%eTc)along with hydrogel compared to water-stressed(50%eTc)led to enhanced seed yield(kg ha^(-1)),Oil(%),and Total carbohydrates(%)of rapeseed by 57.1%,11.1%and 15.7%,***,under water-stressed plots with hydrogel exhibited enhancement by 10.0%,3.2%and 5.1%in seed yield(kg ha^(-1)),oil(%),and total carbohydrates(%)of rapeseed by 57.1%,11.1%and 15.7%,respec-tively compared to *** a result,the use of hydrogel polymer will be a viable and practical solution for increasing agricultural output under water deﬁcit stress situations.

关键词： Hydrogel oil osmolytes rapeseed yield water stress

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Improved Dwarf Mongoose Optimization Algorithm for Feature Selection:Application in Software Fault Prediction Datasets

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Journal of Bionic engineering 2024年第4期21卷 2000-2033页

作者： Abdelaziz I.Hammouri Mohammed A.Awadallah Malik sh.Braik Mohammed Azmi Al-Betar Majdi Beseiso Department of Computer Science Al-Balqa Applied UniversityAl-Salt19117Jordan Department of Scientific Research and Graduate Studies University of Prince Mugrin42241MedinaSaudi Arabia Department of Computer Science Al-Aqsa UniversityGaza4051Palestine Artificial Intelligence Research Center(AIRC) Ajman UniversityAjmanUnited Arab Emirates Department of Information Technology Al-Huson University CollegeAl-Balqa Applied UniversityAl-HusonIrbid21110Jordan

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 *** 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 *** proposed approach,termed iBDMOcr,aims to fortify exploration capability,promote population diversity,and lastly improve the wrapper-based FS process for software fault prediction *** gained superb performance compared to other well-esteemed optimization methods across 17 benchmark *** ranked first in 11 out of 17 datasets in terms of average classification ***,iBDMOcr outperformed other methods in terms of average fitness values and number of selected features across all *** findings demonstrate the effectiveness of iBDMOcr in addressing FS problems in software fault prediction,leading to more accurate and efficient models.

关键词： Dwarf mongoose optimization algorithm Optimization Feature selection Classification

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Synergistic Swarm Optimization Algorithm

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Computer Modeling in engineering & Sciences 2024年第6期139卷 2557-2604页

作者： sharaf Alzoubi Laith Abualigah Mohamed sharaf Mohammad sh.Daoud Nima Khodadadi Heming Jia Faculty of Computer Sciences and Informatics Amman Arab UniversityAmman11953Jordan Computer Science Department Al Al-Bayt UniversityMafraq25113Jordan Department of electrical and Computer engineering Lebanese American UniversityByblos13-5053Lebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman19328Jordan MeU Research Unit Middle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan School of Computer Sciences Universiti Sains MalaysiaPulau Pinang11800Malaysia School of engineering and Technology Sunway University MalaysiaPetaling Jaya27500Malaysia Department of Industrial engineering College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia College of engineering Al Ain UniversityAbu Dhabi112612United Arab Emirates Department of Civil and Architectural engineering University of MiamiCoral Gables1251USA School of Information engineering Sanming UniversitySanming365004China

This research paper presents a novel optimization method called the Synergistic Swarm Optimization Algorithm(SSOA).The SSOA combines the principles of swarmintelligence and synergistic cooperation to search for optimal solutions efficiently.A synergistic cooperation mechanism is employed,where particles exchange information and learn from each other to improve their search *** cooperation enhances the exploitation of promising regions in the search space while maintaining exploration ***,adaptive mechanisms,such as dynamic parameter adjustment and diversification strategies,are incorporated to balance exploration and *** leveraging the collaborative nature of swarm intelligence and integrating synergistic cooperation,the SSOAmethod aims to achieve superior convergence speed and solution quality performance compared to other optimization *** effectiveness of the proposed SSOA is investigated in solving the 23 benchmark functions and various engineering design *** experimental results highlight the effectiveness and potential of the SSOA method in addressing challenging optimization problems,making it a promising tool for a wide range of applications in engineering and *** codes of SSOA are available at:https://***/matlabcentral/fileexchange/153466-synergistic-swarm-optimization-algorithm.

关键词： Synergistic swarm optimization algorithm optimization algorithm metaheuristic engineering problems benchmark functions

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Simplified seismic scenario analysis of existing masonry buildings accounting for local site effects

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Frontiers of Structural and Civil engineering 2024年第2期18卷 309-318页

作者： Ayşe e.ÖZSOYÖZBAY Işıl SANRI KARAPINAR Zehra N.KUTLU İsmail e.KILIÇ Department of Civil engineering Maltepe UniversityIstanbul 34857Turkey School of engineering and Construction Oryx Universal CollegeDoha 12253Qatar

This study discusses the effects of local sites and hazard amplification on the seismic vulnerability assessment of existing masonry *** this context,a rapid seismic evaluation procedure was implemented on an old masonry building stock in the historical center Galata,located inİstanbul,to determine the seismic risk priority of the built *** scenarios were generated for all soil classes,different moment magnitudes,and source-to-site distances to obtain more accurate results for the seismic vulnerability assessment of the studied building ***,damage distributions estimated under nine different scenarios with/without site effects were compared and illustrated in maps to discuss changes in vulnerability owing to amplification *** this study,by re-examining the rapid seismic evaluation procedure by including geo-hazard-based assessment,the importance of site effects on the vulnerability and risk assessment of built heritage was *** proposed framework integrating field data and local site effects is believed to advance the current applications for vulnerability assessment of masonry buildings and provide an improvement in the application of rapid seismic assessment procedures with more reliable results.

关键词： masonry buildings seismic vulnerability assessment cultural heritage local site effect

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中国特色社会主义政治经济学基本方法论的传承与创新

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经济学动态 2024年第4期 3-11页

作者：黄少安山东大学经济研究院 250100

研究对象统一和规范了所有政治经济学的一般性特征,中国特色社会主义政治经济学也必须符合这个一般性。研究方法、内容、范式和目的决定或赋予不同经济学流派的特色。中国特色社会主义政治经济学的特色有三个维度,在基本方法论维度可能... 详细信息

研究对象统一和规范了所有政治经济学的一般性特征,中国特色社会主义政治经济学也必须符合这个一般性。研究方法、内容、范式和目的决定或赋予不同经济学流派的特色。中国特色社会主义政治经济学的特色有三个维度,在基本方法论维度可能有两个方面的创新或特色:一是发展和完善了的、本质主义与历史主义结合的历史唯物主义;二是有意识地从中华传统的、优秀的文化中寻找相关的、既符合人类合作性又切合中国作为公有制为主体的实际情况的文化元素,提炼成为经济学基本方法论的“主义”。在创建和完善中国特色社会主义政治经济学的过程中,需要处理好几个重要关系:一是处理好“一般”与“特色”的关系;二是处理好积累和传承与创新的关系;三是处理好通用学术语言与学术话语权的关系;四是处理好学理支撑与联系实际和服务现实的关系。

关键词：中国特色社会主义政治经济学一般性与特色基本方法论的传承与创新

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