2021–2022 Florida Citrus Production Guide: Citrus Root Weevils by Larry W. Duncan, Catharine Mannion

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Dietary Guidelines for Americans 2015–2020: A Summary by Kelly Johnston, Karla P. Shelnutt

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2022–2023 Florida Citrus Production Guide: Citrus Cold Protection by Chris Oswalt, Tripti Vashisth

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Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis by Feras Al-Obeidat, Wael Hafez, Wael Hafez, Asrar Rashid, Mahir Khalil Jallo, Munier Gador, Ivan Cherrez-Ojeda, Ivan Cherrez-Ojeda, Daniel Simancas-Racines

“…We used the “metafor” and “metagen” libraries in R to analyze the different models used in the studies. …”
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Technology Readiness Level of biodiversity monitoring with molecular methods – where are we on the road to routine implementation? by Tiina Laamanen, Veera Norros, Petteri Vihervaara, Jacqueline Jerney, Pirkko Kortelainen, Katharina Kujala, Stefan Lambert, Janne Mäyrä, Lilja Nikula, Ida Palmroos, Mikko Tolkkinen, Kristiina Vuorio, Kristian Meissner

“…Key barriers to the broader implementation of molecular methods to monitoring include the need for international standards, better quantitative estimates and comprehensive reference libraries. National and international cooperation is crucial for establishing common standards, ensuring reliable and comparable results and expediting the routine use of molecular methods in biodiversity monitoring. …”
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Evaluation of Efficacy and Safety of Transdermal Electrical Stimulation in Treatment of Knee Osteoarthritis by Kaiming LI, Shangquan WANG, Linghui LI, Qing ZHANG, Long LIANG, Ming CHEN, Jiawen ZHAN, Jing YIN, Zhuo WANG

“…Objective:To systematically evaluate the efficacy and safety of transdermal electrical stimulation (TES) in the treatment of knee osteoarthritis (KOA).Methods:A computerized systematic search of randomized controlled trials published in CNKI, Wanfang, VIP, Embase, PubMed, CBM, Cochrane libraries on the treatment of KOA by TES prior to October 2019. …”
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Cost-efficient assignment panel for ducks. Setup of a cost-efficient assignment panel for duck populations.  by Chapuis, Hervé, Brard-Fudulea, Sophie, Hazard, Azélie, Vignal, Alain, Demars, Julie, Rouger, Romuald, Teissier, Marc, Gilbert, Hélène

“…This SNP array is made of two libraries (one for the Muscovy duck, the other for the common duck which encompasses the Pekin duck), the intersection of which, after a preliminary elimination on the primer length, contained only 399 SNP that were considered a starting point to obtain a final list. …”
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Motivation for physical activity among university students residing in areas of military conflict in Ukraine by Tetiana Yermakova, Vasyl Lutskyi, Daria Piatnytska

“…Statistical analysis was performed using PyCharm CE and Python libraries. Metrics like mean, standard deviation, and Cronbach's alpha coefficient for reliability were calculated. …”
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A brief essay on the administrative system of astrakhan kalmyks by Ivan Cherkasov: problem of authorship, reflection of the main stages of kalmyk history and features of public adm... by Evgeniy A. Gunaev

“…The problem of authorship lies in the fact that in the catalogues of the state libraries of the Russian Federation, the author indicates Baron I. …”
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Hybrid breeding boosted molecular genetics in rye by R. Schlegel

“…The utilsation of landraces and wild relatives via advanced backcross procedures, combined by QTL analysis and introgression libraries, contributed to increase of heterotic effects. …”
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Machine Learning Classification Techniques for Detecting the Impact of Human Resources Outcomes on Commercial Banks Performance by Sulaiman O. Atiku, Ibidun C. Obagbuwa

“…In this study, eight different machine learning algorithms were employed to build performance models to predict the prospective performance of commercial banks in Nigeria based on human resources outcomes (employee skills, attitude, and behavior) through the Python software tool with machine learning libraries and packages. The results of the analysis clearly show that human resources outcomes are crucial in achieving organizational performance, and the models built from the eight machine learning classifier algorithms in this study predict the bank performance as superior with the accuracies of 74–81%. …”
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Immunoassay–mass spectrometry to identify Brucella melitensis by Amirreza Sharif, Ramin Bagheri Nejad, Alireza Ghassempour

“…For MALDI-TOF MS analysis and libraries for bacterial identification, time-consuming culture procedures are necessary to achieve sufficient concentration and isolation of a single bacterium. …”
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Combined biochemical profiling and DNA sequencing in the expanded newborn screening for inherited metabolic diseases: the experience in an Italian reference center by Simona Fecarotta, Lorenzo Vaccaro, Alessandra Verde, Marianna Alagia, Alessandro Rossi, Chiara Colantuono, Maria Teresa Cacciapuoti, Patrizia Annunziata, Sara Riccardo, Antonio Grimaldi, Tonya Fusco, Rosa De Santis, Fernando Barretta, Lucia Albano, Daniela Crisci, Fabiana Vallone, Antonietta Tarallo, Marcella Cesana, Nicola Brunetti-Pierri, Giulia Frisso, Margherita Ruoppolo, Davide Cacchiarelli, Giancarlo Parenti

“…NGS analysis was based on applying Exome Sequencing libraries, limiting the analysis to 105 actionable genes involved in IMDs. …”
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Java deserialization gadget chain discovery method based on hybrid analysis by Yongxing WU, Libo CHEN, Kaida JIANG

“…Java deserialization vulnerabilities have become a common threat to Java application security nowadays.Finding out the gadget chain determines whether this type of vulnerability can be exploited.Due to the large code space of Java applications and dependent libraries and the polymorphism of Java itself, manual analysis of Java deserialization gadget chains consumes a lot of time and effort and it is highly dependent on the experienced knowledge.Therefore, it is crucial to study how to efficiently and accurately automate the discovery of gadget chains.Java deserialization gadget chain discovery method based on hybrid analysis was proposed.Call graph based on the variable declaration type was constructed, and then the deserialization entry functions that may reach the dangerous functions were screened using the call graph analysis.The screened entry functions were used as the entry point of the hybrid information flow analysis.The hybrid information flow analysis was carried out for both pointer and tainted variables.The tainted objects created implicitly were marked.The tainted information and the pointer information were propagated simultaneously to construct the hybrid information flow graph.The reachability of external taint data propagation to the dangerous function was judged based on the hybrid information flow graph.The corresponding deserialization gadget chain was constructed according to the taint propagation path.The hybrid analysis took into account the efficiency of call graph analysis and the accuracy of hybrid information flow analysis.The corresponding static analysis tool, namely GadgetSearch, was implemented based on the proposed hybrid analysis method.In the experimental evaluation, GadgetSearch had lower false positive and lower false negative than the existing tool GadgetInspector on four datasets of Ysoserial, Marshalsec, Jackson historical CVE, and XStream historical CVE.Additionally, GadgetSearch also found multiple undisclosed gadget chains.The experimental results show that the proposed method can efficiently and accurately discover the Java deserialization gadget chain in multiple practical Java applications.…”
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Duplicate references in the 'Introduction' and 'Discussion' sections of scientific articles on physical education and sports by Leonid Podrigalo, Sergii Iermakov

“…In this study, the PyCharm CE development environment and Python libraries were used to extract and analyze duplicate references in the "Introduction" and "Discussion" sections of scientific articles. …”
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Ion Pillat descoperă Balcicul by Carmen Brăgaru

“…Our article – a first chapter taken from a larger study20 regarding Ion Pillat’s activity in Balcic – based on documents found in archives, manuscripts kept in libraries and the poet’s correspondence closely follows the movements before and after Ion Pillat’s discovery of the picturesque town.…”
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Taxonomic Blind Spots: A Limitation of Environmental DNA Metabarcoding‐Based Detection for Canadian Freshwater Fishes by Kevin C. Morey, Erika Myler, Robert Hanner, Gerald Tetreault

“…These blind spots result from gaps in reference sequence libraries, issues with taxonomic resolution, inefficient binding of universal primers to the DNA of certain species, and ineffective collection during the sampling of eDNA. …”
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2020–2021 Florida Citrus Production Guide: Citrus Scab by Megan M. Dewdney

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Invaders Galore! by Charles Jacoby, Nanette Holland, Debbi Berger

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2020–2021 Florida Citrus Production Guide: Citrus Cold Protection by Chris Oswalt, Tripti Vashisth

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