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141

Integrating Knowledge Management and Machine Learning for Water Treatment Optimization: A Case Study at Koot Amir Water Treatment Plant
Alhaei, Hadi ; Koohi Rostami, Mansoor ; Ashrafi, Seyed Mohammad
Alhaei, Hadi, Koohi Rostami, Mansoor and Ashrafi, Seyed Mohammad Integrating Knowledge Management and Machine Learning for Water Treatment Optimization: A Case Study at Koot Amir Water Treatment Plant. Academic Librarianship and Information Research, 2024, vol. 58, n. 4, pp. 1-22. [Journal article (Paginated)]

FJ. Knowledge management IE. Data and metadata st...
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142

MetaBakery:[Elektronski vir] / a singularity implementation of bioBakery tools as a skeleton application for efficient HPC deconvolution of microbiome metagenomic sequencing data to machine learning ready information
Murovec, Boštjan ; Deutsch, Leon ; Osredkar, Damjan ; et al.
Frontiers in microbiology, 11 str. : Ilustr., [article no.] 1426465, 2024, Vol. 15
COBISS-ID: 4146296

mikrobiologija, mikrobna...
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143

Integrating machine learning and mechanistic modeling towards adaptation of plants to climate change
Babo, Ana Camila Ribeiro de ; Dias, Oscar ; Dijk, Aalt-Jan Van ; et al.
urn:tid:203618394

Machine learning Mechanistic modelling Climate change Arabidopsis thaliana Temperature stress Flowering time
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144

Research on Acetabular Labrum Injury Based on MR: Multi-angle Deep Learning Model
Research on Acetabular Labrum Injury Based on MR: Multi-angle Deep Learning Model

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145

SLAP Injury of the Shoulder Joint: Application Value of Deep Learning in Diagnosis
SLAP Injury of the Shoulder Joint: Application Value of Deep Learning in Diagnosis

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146

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147

High‐Accuracy Classification of Radiation Waveforms of Lightning Return Strokes.
Wu, Ting ; Wang, Daohong ; Takagi, Nobuyuki
Journal of Geophysical Research. Atmospheres. 7/27/2023, Vol. 128 Issue 14, p1-15. 15p.

Radiation Thunderstorms Machine learning Random forest algorithms
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148

NTxPred2: A large language model for predicting neurotoxic peptides and neurotoxins
Rathore, Anand Singh ; Jain, Saloni ; Choudhury, Shubham ; et al.

Neurotoxic Peptides Toxicity Neurotoxins/classificati... Machine Learning Techniq... Protein Language Models WHO Guidelines
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149

Getting Started with Python 3 and Jupyter Notebook
Pajankar, Ashwin ; Joshi, Aditya
Hands-on Machine Learning with Python ; page 3-21 ; ISBN 9781484279205 9781484279212

Buch
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150

Задачи спортивного программирования для дисциплины «Машинное обучение» ; Competitive programming problems for Machine Learning course / Alexey Nikandrov, Xenia Piotrowska
Никандров, А. А. ; Пиотровская, К. Р.

ЭБ БГУ::ЕСТЕСТВЕННЫЕ И Т... ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУ...
Konferenz
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151

A Deep Learning Approach for Forecasting Construction Project Duration at Completion
Laura Portugal, Cristhian Felix

Deep Learning Project Management Python Forecasting Duration at... Forecasting Construction Projects
Dissertation
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153

Computer Vision Projects with OpenCV and Python 3
Matthew Rever ; Matthew Rever ; Matthew Rever ; et al.
2018

E-Ressource
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154

Multi-omics Dissection of Gut Microbiome Engraftment During FMT (DissEcT)
Gianluca Ianiro, Principal Investigator, MD, PhD
Disentangling Microbiome Engraftment by Multi-omics of the Gut Ecosystem During Fecal Transplant
D'Haens GR, Jobin C. Fecal Microbial Transplantation for Diseases Beyond Recurrent Clostridium Difficile Infection. Gastroenterology. 2019 Sep;157(3):624-636. doi: 10.1053/j.gastro.2019.04.053. Epub 2019 Jun 17.
Ianiro G, Bibbo S, Gasbarrini A, Cammarota G. Therapeutic modulation of gut microbiota: current clinical applications and future perspectives. Curr Drug Targets. 2014;15(8):762-70. doi: 10.2174/1389450115666140606111402.
Tixier EN, Verheyen E, Luo Y, Grinspan LT, Du CH, Ungaro RC, Walsh S, Grinspan AM. Systematic Review with Meta-Analysis: Fecal Microbiota Transplantation for Severe or Fulminant Clostridioides difficile. Dig Dis Sci. 2022 Mar;67(3):978-988. doi: 10.1007/s10620-021-06908-4. Epub 2021 Mar 22.
Baunwall SMD, Lee MM, Eriksen MK, Mullish BH, Marchesi JR, Dahlerup JF, Hvas CL. Faecal microbiota transplantation for recurrent Clostridioides difficile infection: An updated systematic review and meta-analysis. EClinicalMedicine. 2020 Nov 23;29-30:100642. doi: 10.1016/j.eclinm.2020.100642. eCollection 2020 Dec.
Ianiro G, Eusebi LH, Black CJ, Gasbarrini A, Cammarota G, Ford AC. Systematic review with meta-analysis: efficacy of faecal microbiota transplantation for the treatment of irritable bowel syndrome. Aliment Pharmacol Ther. 2019 Aug;50(3):240-248. doi: 10.1111/apt.15330. Epub 2019 May 28.
Costello SP, Soo W, Bryant RV, Jairath V, Hart AL, Andrews JM. Systematic review with meta-analysis: faecal microbiota transplantation for the induction of remission for active ulcerative colitis. Aliment Pharmacol Ther. 2017 Aug;46(3):213-224. doi: 10.1111/apt.14173. Epub 2017 Jun 14.
Proenca IM, Allegretti JR, Bernardo WM, de Moura DTH, Ponte Neto AM, Matsubayashi CO, Flor MM, Kotinda APST, de Moura EGH. Fecal microbiota transplantation improves metabolic syndrome parameters: systematic review with meta-analysis based on randomized clinical trials. Nutr Res. 2020 Nov;83:1-14. doi: 10.1016/j.nutres.2020.06.018. Epub 2020 Jul 3.
Ianiro G, Sanguinetti M, Gasbarrini A, Cammarota G. Predictors of failure after single faecal microbiota transplantation in patients with recurrent Clostridium difficile infection: results from a 3-year cohort study: authors' reply. Clin Microbiol Infect. 2017 Nov;23(11):891. doi: 10.1016/j.cmi.2017.05.005. Epub 2017 May 11. No abstract available.
Moayyedi P, Surette MG, Kim PT, Libertucci J, Wolfe M, Onischi C, Armstrong D, Marshall JK, Kassam Z, Reinisch W, Lee CH. Fecal Microbiota Transplantation Induces Remission in Patients With Active Ulcerative Colitis in a Randomized Controlled Trial. Gastroenterology. 2015 Jul;149(1):102-109.e6. doi: 10.1053/j.gastro.2015.04.001. Epub 2015 Apr 7.
Ianiro G, Maida M, Burisch J, Simonelli C, Hold G, Ventimiglia M, Gasbarrini A, Cammarota G. Efficacy of different faecal microbiota transplantation protocols for Clostridium difficile infection: A systematic review and meta-analysis. United European Gastroenterol J. 2018 Oct;6(8):1232-1244. doi: 10.1177/2050640618780762. Epub 2018 Jun 3.
Zuo T, Wong SH, Lam K, Lui R, Cheung K, Tang W, Ching JYL, Chan PKS, Chan MCW, Wu JCY, Chan FKL, Yu J, Sung JJY, Ng SC. Bacteriophage transfer during faecal microbiota transplantation in Clostridium difficile infection is associated with treatment outcome. Gut. 2018 Apr;67(4):634-643. doi: 10.1136/gutjnl-2017-313952. Epub 2017 May 24.
Zuo T, Wong SH, Cheung CP, Lam K, Lui R, Cheung K, Zhang F, Tang W, Ching JYL, Wu JCY, Chan PKS, Sung JJY, Yu J, Chan FKL, Ng SC. Gut fungal dysbiosis correlates with reduced efficacy of fecal microbiota transplantation in Clostridium difficile infection. Nat Commun. 2018 Sep 10;9(1):3663. doi: 10.1038/s41467-018-06103-6.
Kootte RS, Levin E, Salojarvi J, Smits LP, Hartstra AV, Udayappan SD, Hermes G, Bouter KE, Koopen AM, Holst JJ, Knop FK, Blaak EE, Zhao J, Smidt H, Harms AC, Hankemeijer T, Bergman JJGHM, Romijn HA, Schaap FG, Olde Damink SWM, Ackermans MT, Dallinga-Thie GM, Zoetendal E, de Vos WM, Serlie MJ, Stroes ESG, Groen AK, Nieuwdorp M. Improvement of Insulin Sensitivity after Lean Donor Feces in Metabolic Syndrome Is Driven by Baseline Intestinal Microbiota Composition. Cell Metab. 2017 Oct 3;26(4):611-619.e6. doi: 10.1016/j.cmet.2017.09.008.
Vaughn BP, Vatanen T, Allegretti JR, Bai A, Xavier RJ, Korzenik J, Gevers D, Ting A, Robson SC, Moss AC. Increased Intestinal Microbial Diversity Following Fecal Microbiota Transplant for Active Crohn's Disease. Inflamm Bowel Dis. 2016 Sep;22(9):2182-90. doi: 10.1097/MIB.0000000000000893.
Turpin W, Espin-Garcia O, Xu W, Silverberg MS, Kevans D, Smith MI, Guttman DS, Griffiths A, Panaccione R, Otley A, Xu L, Shestopaloff K, Moreno-Hagelsieb G; GEM Project Research Consortium; Paterson AD, Croitoru K. Association of host genome with intestinal microbial composition in a large healthy cohort. Nat Genet. 2016 Nov;48(11):1413-1417. doi: 10.1038/ng.3693. Epub 2016 Oct 3.
Goodrich JK, Davenport ER, Clark AG, Ley RE. The Relationship Between the Human Genome and Microbiome Comes into View. Annu Rev Genet. 2017 Nov 27;51:413-433. doi: 10.1146/annurev-genet-110711-155532. Epub 2017 Sep 20.
Danne C, Rolhion N, Sokol H. Recipient factors in faecal microbiota transplantation: one stool does not fit all. Nat Rev Gastroenterol Hepatol. 2021 Jul;18(7):503-513. doi: 10.1038/s41575-021-00441-5. Epub 2021 Apr 27.
Littmann ER, Lee JJ, Denny JE, Alam Z, Maslanka JR, Zarin I, Matsuda R, Carter RA, Susac B, Saffern MS, Fett B, Mattei LM, Bittinger K, Abt MC. Host immunity modulates the efficacy of microbiota transplantation for treatment of Clostridioides difficile infection. Nat Commun. 2021 Feb 2;12(1):755. doi: 10.1038/s41467-020-20793-x.
Lewis JD, Chuai S, Nessel L, Lichtenstein GR, Aberra FN, Ellenberg JH. Use of the noninvasive components of the Mayo score to assess clinical response in ulcerative colitis. Inflamm Bowel Dis. 2008 Dec;14(12):1660-6. doi: 10.1002/ibd.20520.
Lavelle A, Sokol H. Gut microbiota-derived metabolites as key actors in inflammatory bowel disease. Nat Rev Gastroenterol Hepatol. 2020 Apr;17(4):223-237. doi: 10.1038/s41575-019-0258-z. Epub 2020 Feb 19.
Khoruts A, Sadowsky MJ. Understanding the mechanisms of faecal microbiota transplantation. Nat Rev Gastroenterol Hepatol. 2016 Sep;13(9):508-16. doi: 10.1038/nrgastro.2016.98. Epub 2016 Jun 22.
Zimmet P, Magliano D, Matsuzawa Y, Alberti G, Shaw J. The metabolic syndrome: a global public health problem and a new definition. J Atheroscler Thromb. 2005;12(6):295-300. doi: 10.5551/jat.12.295.
Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC Jr; International Diabetes Federation Task Force on Epidemiology and Prevention; Hational Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; International Association for the Study of Obesity. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009 Oct 20;120(16):1640-5. doi: 10.1161/CIRCULATIONAHA.109.192644. Epub 2009 Oct 5.
McDonald LC, Gerding DN, Johnson S, Bakken JS, Carroll KC, Coffin SE, Dubberke ER, Garey KW, Gould CV, Kelly C, Loo V, Shaklee Sammons J, Sandora TJ, Wilcox MH. Clinical Practice Guidelines for Clostridium difficile Infection in Adults and Children: 2017 Update by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA). Clin Infect Dis. 2018 Mar 19;66(7):987-994. doi: 10.1093/cid/ciy149.
Costello SP, Hughes PA, Waters O, Bryant RV, Vincent AD, Blatchford P, Katsikeros R, Makanyanga J, Campaniello MA, Mavrangelos C, Rosewarne CP, Bickley C, Peters C, Schoeman MN, Conlon MA, Roberts-Thomson IC, Andrews JM. Effect of Fecal Microbiota Transplantation on 8-Week Remission in Patients With Ulcerative Colitis: A Randomized Clinical Trial. JAMA. 2019 Jan 15;321(2):156-164. doi: 10.1001/jama.2018.20046.
Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 1999 Sep;22(9):1462-70. doi: 10.2337/diacare.22.9.1462.
Mari A, Pacini G, Murphy E, Ludvik B, Nolan JJ. A model-based method for assessing insulin sensitivity from the oral glucose tolerance test. Diabetes Care. 2001 Mar;24(3):539-48. doi: 10.2337/diacare.24.3.539.
Cammarota G, Masucci L, Ianiro G, Bibbo S, Dinoi G, Costamagna G, Sanguinetti M, Gasbarrini A. Randomised clinical trial: faecal microbiota transplantation by colonoscopy vs. vancomycin for the treatment of recurrent Clostridium difficile infection. Aliment Pharmacol Ther. 2015 May;41(9):835-43. doi: 10.1111/apt.13144. Epub 2015 Mar 1.
Baruch EN, Youngster I, Ben-Betzalel G, Ortenberg R, Lahat A, Katz L, Adler K, Dick-Necula D, Raskin S, Bloch N, Rotin D, Anafi L, Avivi C, Melnichenko J, Steinberg-Silman Y, Mamtani R, Harati H, Asher N, Shapira-Frommer R, Brosh-Nissimov T, Eshet Y, Ben-Simon S, Ziv O, Khan MAW, Amit M, Ajami NJ, Barshack I, Schachter J, Wargo JA, Koren O, Markel G, Boursi B. Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients. Science. 2021 Feb 5;371(6529):602-609. doi: 10.1126/science.abb5920. Epub 2020 Dec 10.
Cammarota G, Ianiro G, Kelly CR, Mullish BH, Allegretti JR, Kassam Z, Putignani L, Fischer M, Keller JJ, Costello SP, Sokol H, Kump P, Satokari R, Kahn SA, Kao D, Arkkila P, Kuijper EJ, Vehreschild MJG, Pintus C, Lopetuso L, Masucci L, Scaldaferri F, Terveer EM, Nieuwdorp M, Lopez-Sanroman A, Kupcinskas J, Hart A, Tilg H, Gasbarrini A. International consensus conference on stool banking for faecal microbiota transplantation in clinical practice. Gut. 2019 Dec;68(12):2111-2121. doi: 10.1136/gutjnl-2019-319548. Epub 2019 Sep 28.
Ianiro G, Mullish BH, Kelly CR, Kassam Z, Kuijper EJ, Ng SC, Iqbal TH, Allegretti JR, Bibbo S, Sokol H, Zhang F, Fischer M, Costello SP, Keller JJ, Masucci L, van Prehn J, Quaranta G, Quraishi MN, Segal J, Kao D, Satokari R, Sanguinetti M, Tilg H, Gasbarrini A, Cammarota G. Reorganisation of faecal microbiota transplant services during the COVID-19 pandemic. Gut. 2020 Sep;69(9):1555-1563. doi: 10.1136/gutjnl-2020-321829. Epub 2020 Jul 3.
El-Salhy M, Hatlebakk JG, Gilja OH, Brathen Kristoffersen A, Hausken T. Efficacy of faecal microbiota transplantation for patients with irritable bowel syndrome in a randomised, double-blind, placebo-controlled study. Gut. 2020 May;69(5):859-867. doi: 10.1136/gutjnl-2019-319630. Epub 2019 Dec 18.
Youngster I, Mahabamunuge J, Systrom HK, Sauk J, Khalili H, Levin J, Kaplan JL, Hohmann EL. Oral, frozen fecal microbiota transplant (FMT) capsules for recurrent Clostridium difficile infection. BMC Med. 2016 Sep 9;14(1):134. doi: 10.1186/s12916-016-0680-9.
Youngster I, Russell GH, Pindar C, Ziv-Baran T, Sauk J, Hohmann EL. Oral, capsulized, frozen fecal microbiota transplantation for relapsing Clostridium difficile infection. JAMA. 2014 Nov 5;312(17):1772-8. doi: 10.1001/jama.2014.13875.
Nash AK, Auchtung TA, Wong MC, Smith DP, Gesell JR, Ross MC, Stewart CJ, Metcalf GA, Muzny DM, Gibbs RA, Ajami NJ, Petrosino JF. The gut mycobiome of the Human Microbiome Project healthy cohort. Microbiome. 2017 Nov 25;5(1):153. doi: 10.1186/s40168-017-0373-4.
Quince C, Walker AW, Simpson JT, Loman NJ, Segata N. Shotgun metagenomics, from sampling to analysis. Nat Biotechnol. 2017 Sep 12;35(9):833-844. doi: 10.1038/nbt.3935.
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Kao D, Roach B, Silva M, Beck P, Rioux K, Kaplan GG, Chang HJ, Coward S, Goodman KJ, Xu H, Madsen K, Mason A, Wong GK, Jovel J, Patterson J, Louie T. Effect of Oral Capsule- vs Colonoscopy-Delivered Fecal Microbiota Transplantation on Recurrent Clostridium difficile Infection: A Randomized Clinical Trial. JAMA. 2017 Nov 28;318(20):1985-1993. doi: 10.1001/jama.2017.17077.
Beghini F, McIver LJ, Blanco-Miguez A, Dubois L, Asnicar F, Maharjan S, Mailyan A, Manghi P, Scholz M, Thomas AM, Valles-Colomer M, Weingart G, Zhang Y, Zolfo M, Huttenhower C, Franzosa EA, Segata N. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. Elife. 2021 May 4;10:e65088. doi: 10.7554/eLife.65088.
Vernocchi P, Marini F, Capuani G, Tomassini A, Conta G, Del Chierico F, Malattia C, De Benedetti F, Martini A, Dallapiccola B, van Dijkhuizen EHP, Miccheli A, Putignani L. Fused Omics Data Models Reveal Gut Microbiome Signatures Specific of Inactive Stage of Juvenile Idiopathic Arthritis in Pediatric Patients. Microorganisms. 2020 Oct 6;8(10):1540. doi: 10.3390/microorganisms8101540.
Zhang X, Li L, Mayne J, Ning Z, Stintzi A, Figeys D. Assessing the impact of protein extraction methods for human gut metaproteomics. J Proteomics. 2018 May 30;180:120-127. doi: 10.1016/j.jprot.2017.07.001. Epub 2017 Jul 10.
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Alonso-Betanzos A, Bolon-Canedo V. Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches. Adv Exp Med Biol. 2018;1065:607-626. doi: 10.1007/978-3-319-77932-4_37.

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155

Risk Model for Metastasis Detection of Neuroblastoma (NB)
Shenzhen Children's Hospital ; The Children's Hospital of Zhejiang University School of Medicine ; Juan Ma, Associate Chief Physician of the Clinical Laboratory Department
Bone Marrow Cytology-based Artificial Intelligence Model for Detection and Prognosis of Neuroblastoma

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156

Machine Learning Algorithm to Improve User's Experience
Ambika, N., author
Contemporary Studies of Risks in Emerging Technology, Part A. :49-59

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157

Performance analysis of deep learning-based automatic modulation recognition over wireless communication
YUSUF, Ismail Adeyemi ; ABOLADE, Robert Oluwayimika ; OYELARAN, Opeyemi Paul ; et al.
LAUTECH Journal of Engineering and Technology; Vol. 19 No. 2 (2025); 106 - 113 ; 2672-5940 ; 1597-0000

Deep Learning Convolutional Neural Net... Long Short-Term Memory Receive Operating Charac...
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158

Automated cell type discovery and classification through knowledge transfer
Hao-Chih Lee ; Christine Becker ; Brian A. Kidd ; et al.
Bioinformatics

0301 basic medicine 0206 medical engineering Computational Biology Reproducibility of Resul... 02 engineering and techn... Original Papers
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159

Computer Vision Projects with OpenCV and Python 3
Matthew Rever ; Matthew Rever ; Matthew Rever ; et al.
2018

E-Ressource
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160

Wearable sensor-based pattern mining for human activity recognition: deep learning approach
Bijalwan, Vishwanath ; Semwal, Vijay Bhaskar ; Gupta, Vishal
Industrial Robot: the international journal of robotics research and application, 2021, Vol. 49, Issue 1, pp. 21-33.

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