Performance of Gears Manufactured Through Additive Manufacturing by Animesh Kumar Basak, Jack Ghasseb, Alokesh Pramanik

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A Review of the Environmental Impact of Buildings with an Emphasis on Performance Assessment Tools and Their Incorporation of LCA by Vidhyalakshmi Chandrasekaran, Jolanta Dvarionienė

“…Background. The environmental performance of buildings has been a focus of interest over the years in the building sector. …”
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Research on Rheological Properties by Desulfurized Rubber Powder/SBS Composite-Modified Asphalt and Road Performance of Its Mixture by Ping Guo, Qingwei Ma, Yan Li, Chenguang Yang, Yeji Qiu, Liangyu Sun, Xilun Zhang, Fayong Yang

“…First, the basic performance indicators such as penetration, ductility, softening point, and viscosity were studied. …”
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Les implications du travestissement dans I Capuleti e i Montecchi de Vincenzo Bellini by Isabelle Schwartz-Gastine

“…However Bellini preferred a female singer, Giuditta Grisi, who specialised in a repertoire of young male lovers called musico, to play against her own sister, Giulia, as Julietta. Both women met with great success as appears from contemporary reviews, which praise their vocal performances but ignore the change from the tradition of the castrato, as well as the physicality of the show. …”
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Review of image classification based on deep learning by Fu SU, Qin LV, Renze LUO

“…In recent years,deep learning performed superior in the field of computer vision to traditional machine learning technology.Indeed,image classification issue drew great attention as a prominent research topic.For traditional image classification method,huge volume of image data was of difficulty to process and the requirements for the operation accuracy and speed of image classification could not be met.However,deep learning-based image classification method broke through the bottleneck and became the mainstream method to finish these classification tasks.The research significance and current development status of image classification was introduced in detail.Also,besides the structure,advantages and limitations of the convolutional neural networks,the most important deep learning methods,such as auto-encoders,deep belief networks and deep Boltzmann machines image classification were concretely analyzed.Furthermore,the differences and performance on common datasets of these methods were compared and analyzed.In the end,the shortcomings of deep learning methods in the field of image classification and the possible future research directions were discussed.…”
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Evaluation of ultrasonography and plethysmography in detecting blood loss and volume replacement in a platelet apheresis model by Kıvanç KARAMAN, Furkan Çağrı OĞUZLAR, Sinan SİTEMBÖLÜKBAŞI, Erşan KAYA

“…Methods: This prospective, observational study included 46 healthy platelet apheresis volunteers who met inclusion criteria. Both of US measurements of Vena Cava Inferior (VCImin, VCImax, and VCIcı) and plethysmographic measurements were performed in three time period (before apheresis, after whole blood was collected, and after blood components except platelets were returned to donors). …”
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Potential Benefits of Dynamic Beam Synthesis to Mobile Satellite Communication, Using the Inmarsat 4 Antenna Architecture as a Test Example by R. F. E. Guy

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Microfluidics for Positron Emission Tomography Probe Development by Ming-Wei Wang, Wei-Yu Lin, Kan Liu, Michael Masterman-Smith, Clifton Kwang-Fu Shen

“…The application of microfluidic reactors to perform radiosyntheses is currently attracting a great deal of interest because of their potential to deliver many advantages over conventional labeling systems. …”
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The Effects Of The Yenikoy Treaty On The Armenians And The Russian-Armenian Collaboration In World War I by Nejla, Günay

“…The issue of the Armenian reforms resulted in the interfering of the Great Powers in the empire’s internal affairs. With the Yenikoy treaty signed between Russia and the Ottoman Empire on February 9th, 1914, the reform demands of the Armenians were met. …”
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A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data by Manolis Georgioudakis, Vagelis Plevris

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Explainable Machine Learning-Based Prediction Model for Diabetic Nephropathy by Jing-Mei Yin, Yang Li, Jun-Tang Xue, Guo-Wei Zong, Zhong-Ze Fang, Lang Zou

“…We develop a predictive model by XGB algorithm to screen for DN. C2, C5DC, Tyr, Ser, Met, C24, C4DC, and Cys have great contribution in the model and can possibly be biomarkers for DN.…”
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Campus Sewage Treatment by Golenkinia SDEC-16 and Biofuel Production under Monochromic Light by Changliang Nie, Liqun Jiang, Ze Yu, Zhigang Yang, Qingjie Hou, Haiyan Pei

“…Meanwhile, the LED lights with different wavelengths have a great effect on the growth and metabolism of microalgae. …”
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Validity of Cardiovascular Risk Prediction Models in Kidney Transplant Recipients by Holly Mansell, Samuel Alan Stewart, Ahmed Shoker

“…Predicting cardiovascular risk is of great interest in renal transplant recipients since cardiovascular disease is the leading cause of mortality. …”
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Characteristics of Singapore lung cancer patients who miss out on lung cancer screening recommendations by Chee Hong Loh, Pearly Wenjia Koh, Daniel Jia Ming Ang, Wei Chee Lee, Wui Mei Chew, Jansen Meng Kwang Koh

“…Conclusion: The majority of Singapore patients diagnosed with lung cancer, especially females, would not have been identified with the NLST criteria. However, those who met the inclusion criteria would have benefited greatly from screening. …”
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The Gingiva from the Tissue Surrounding the Bone to the Tissue Regenerating the Bone: A Systematic Review of the Osteogenic Capacity of Gingival Mesenchymal Stem Cells in Preclinic... by Gamilah Al-Qadhi, Iman Aboushady, Niyaz Al-Sharabi

“…A comprehensive electronic search of PubMed, Embase, Web of Science, and Scopus databases, as well as a manual search of relevant references, was performed in June 2020 without date or language restrictions. …”
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Adding zeolite to multi-component fine-grain concrete used for 3D construction printing by A. D. Kogai, A. V. Puzatova, M. A. Dmitrieva, V. N. Leitsin

“…Requirements, applied to materials used for 3D construction printing, can be met by adding modifiers at the stage of designing fine-grained concrete compositions. …”
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The efficacy of platelet-rich plasma in ankle disease: a systematic review and meta-analysis by Qixin Ding, Xu Wang, Yurong Liu, Yuefang Li, Di Zhang, Heling Wang, Shenhong Ma, Qiaohua Han, Weisheng Zhuang

“…Methods A comprehensive and systematic search of PubMed, the Cochrane Library, Embase and web of science databases was performed, and studies that met the requirements according to the inclusion criteria were analyzed using Review Manager and STATA version 14.0. …”
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Application of the Artificial Neural Network and Support Vector Machines in Forest Fire Prediction in the Guangxi Autonomous Region, China by Yudong Li, Zhongke Feng, Shilin Chen, Ziyu Zhao, Fengge Wang

“…The study of forest fire prediction is of great environmental and scientific significance. …”
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High Energy Density Welding of Ni-Based Superalloys: An Overview by Riccardo Donnini, Alessandra Varone, Alessandra Palombi, Saveria Spiller, Paolo Ferro, Giuliano Angella

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Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review by Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Giuseppe Francesco Papalia, Onorato d’Angelis, Gianluca Vadalà, Albert Comelli, Luca Vollero, Mario Merone, Rocco Papalia, Vincenzo Denaro

“…Abstract Background Low back pain is the leading cause of disability worldwide with a significant socioeconomic burden; artificial intelligence (AI) has proved to have a great potential in supporting clinical decisions at each stage of the healthcare process. …”
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