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8th International Conference on Modelling and Simulation for Autonomous Systems (MESAS)

作者： Rolenec, Ota Silinger, Karel Sedlacek, Martin Univ Def Kounicova 65 Brno 66210 Czech Republic

ISBN: (纸本)9783030982607;9783030982591

Military operations represent a complex involvement of various types of forces, requiring as far as possible their flawless alignment during the maneuver to meet the objectives of the operation. In order to use the forces effectively, it is necessary to successfully carry out the planning process of the task force to create an operational order and to be able to effectively command and control subordinate units during the conduct of the operation based on the development of the situation in the combat zone. The article describes the algorithm development of individual steps of the decision-making process of the brigade combat team staff officer of the engineer specialization when designing the mobility and counter-mobility support of task force during the planning of the operation. The proposed individual steps of the decision-making process were designed based on the analysis of documents related to the engineer support of the troops and the authors' own experience from practical exercises and exercises on simulators. Each step of the algorithm requires input data from the user, based on which it adds values to the designed engineer modular elements. The output and the main benefit of the algorithm are the values of modular elements and engineer-based recommendations for their use. Based on the algorithm, software was programmed to support the decision-making process of the engineer officer, leading to a reduction in the probability of human error during the planning process given the different levels of knowledge.

关键词： algorithm Counter-mobility support Decision-making process Military engineering Mobility support

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Dupilumab-induced hypereosinophilia: review of the literature and algorithm proposal for clinical management

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EXPERT REVIEW OF RESPIRATORY MEDICINE 2022年第7期16卷 713-721页

作者： Caminati, Marco Olivieri, Bianca Dama, Annarita Micheletto, Claudio Paggiaro, Pierluigi Pinter, Patrick Senna, Gianenrico Schiappoli, Michele Univ Verona Dept Med Asthma Allergy & Clin Immunol Sect Verona Italy Verona Univ Hosp Allergy & Asthma Unit Verona Italy Verona Univ Hosp Resp Med Unit Verona Italy Univ Pisa Dept Surg Med Mol Biol & Crit Care Pisa Italy Univ Verona Verona Univ Hosp Dept Surg Dent Gynecol & Pediat Div Otorhinolaryngol Verona Italy

Introduction Dupilumab is a human monoclonal antibody that targets both IL-4 and IL-13 signaling. It is currently indicated for the treatment of asthma, moderate-to-severe atopic dermatitis, and chronic rhinosinusitis with nasal polyps (CRSwNP). Eosinophilia has been reported as a potential adverse event in treated patients. Areas covered A selective search on PubMed and Medline up to January 2022 was performed, by focusing on dupilumab-induced hypereosinophilia described in clinical trials, real-life studies, and case reports. The possible mechanisms underlying dupilumab-induced hypereosinophilia and the eosinophil-related morbidity have also been explored. Expert opinion Dealing with dupilumab-induced hypereosinophilia represents a clinical challenge for clinicians managing patients on dupilumab therapy. An algorithm for the practical management of dupilumab-induced hypereosinophilia has been proposed, in order to properly investigate potential eosinophil-related morbidity and avoid unnecessary drug discontinuation.

关键词： Asthma atopic dermatitis dupilumab eosinophils algorithm hyper-eosinophilia IL-4 IL-13 nasal polyps

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Management algorithm for Prevention of Mother-to-child Transmission of Hepatitis B Virus(2022)

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Journal of Clinical and Translational Hepatology 2022年第5期10卷 1004-1010页

作者： Zhihua Liu Zhongdan Chen Fuqiang Cui Yang Ding Yunfei Gao Guorong Han Jidong Jia Jie Li Zengde Li Yingxia Liu Qing Mao Ailing Wang Wei Wang Lai Wei Jianhong Xia Qing Xie Xizhong Yang Xueru Yin Hua Zhang Liaoyun Zhang Wenhong Zhang Hui Zhuang Xiaoguang Dou Jinlin Hou Department of Infectious Diseases Nanfang HospitalSouthern Medical UniversityGuangzhouGuangdongChina World Health Organization Office of the WHO Representative in ChinaBeijingChina School of Public Health Peking UniversityBeijingChina Department of Infectious Diseases Shengjing HospitalChina Medical UniversityShenyangLiaoningChina Department of Gynecology and Obstetrics Zengcheng Branch of Nanfang HospitalSouthern Medical UniversityGuangzhouGuangdongChina Department of Gynecology and Obstetrics The Second Affiliated Hospital of the Southeast UniversityNanjingJiangsuChina Liver Research Center Beijing Friendship HospitalCapital Medical UniversityBeijingChina School of Basic Medical Sciences Peking University Health Science CenterBeijingChina Chinese Foundation for Hepatitis Prevention and Control BeijingChina The Third People’s Hospital of Shenzhen ShenzhenGuangdongChina Department of Infectious Diseases Southwest HospitalArmy Medical UniversityChongqingChina National Center for Women and Children’s Health China CDCBeijingChina Department of Health Care Shenzhen Baoan Women’s and Children’s HospitalShenzhenGuangdongChina Beijing Tsinghua Changgung Hospital School of Clinical MedicineTsinghua UniversityBeijingChina Guangdong Maternal and Child Health Hospital GuangzhouGuangdongChina Department of Infectious Diseases Ruijin HospitalShanghai Jiaotong University School of MedicineShanghaiChina Department of Gynecology and Obstetrics Beijing Youan HospitalCapital Medical UniversityBeijingChina Department of Infectious Diseases First Hospital of Shanxi Medical UniversityTaiyuanShanxiChina Department of Infectious Diseases Huashan HospitalFudan UniversityShanghaiChina

The World Health Organization(WHO)has set the goal of eliminating hepatitis as a threat to public health by *** mother-to-child transmission(MTCT)of hepatitis B virus(HBV)is not only the key to eliminating viral hepatitis,but also a hot issue in the field of hepatitis B prevention and *** standardize the clinical management of preventing MTCT of HBV and achieve zero HBV infection among infants,the Chinese Foundation for Hepatitis Prevention and Control organized experts to compile a management algorithm for prevention of MTCT of HBV based on the latest research progress and guidelines,including 10 steps of pregnancy management and postpartum follow-up,among which screening,antiviral treatment,and infant immunization are its core components.

关键词： Hepatitis B Mother-to-child transmission algorithm

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Development and validation of a risk-based algorithm for preoperative type and screen testing in spine surgery

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SPINE JOURNAL 2022年第9期22卷 1472-1480页

作者： Turcotte, Justin J. Holbert, S. Elliott Orlov, Maxim D. Patton, Chad M. Luminis Hlth Anne Arundel Med Ctr Dept Orthoped 2000 Med Pkwy Suite 503 Annapolis MD 21401 USA Luminis Hlth Anne Arundel Med Ctr Dept Anesthesiol Annapolis MD 21401 USA

BACKGROUND CONTEXT: With improvements in surgical techniques and perioperative management, transfusion rates after spine surgery have decreased over time. Given this trend, routine preoperative ABO/Rh type and antibody screen (T&S) laboratory testing may not be warranted in all patients undergoing spine surgery. PURPOSE: The aim of the current study is to evaluate risk factors for intra/postoperative transfusion in patients undergoing a variety of spine procedures and to develop an algorithm for selectively ordering preoperative T&S testing in appropriate patients. STUDY DESIGN/SETTING: This is a single institution, retrospective observational study of patients undergoing emergent or elective spine surgery. External validation of the algorithm was performed on a national sample of patients undergoing spine surgery from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) national database. PATIENT SAMPLE: A total of 5,947 surgeries from January 1, 2016 to December 31, 2019 at a single institution, and 166,113 surgeries from the 2016 to 2018 ACS-NSQIP database. OUTCOME MEASURES: The primary outcome measure was performance of intraoperative or postoperative transfusion. METHODS: Using the institutional sample, univariate statistics (chi-square tests, fisher's exact test, 2-sided independent sample tests) were performed to compare demographics, comorbidities, and surgical details (case type, number of levels treated, etc.) between patients who did and did not require intra- or postoperative transfusion. Transfusion rates were calculated and compared across procedure types. Multivariate logistic regression was performed to identify independent predictors of transfusion and the model's accuracy was evaluated using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve. A risk-based algorithm suggesting no preoperative T&S in low transfusion risk procedures, routine preoperative T&S in high-risk procedure

关键词： ABO/Rh type and antibody screen algorithm Laboratory testing Predictors Spine surgery Transfusion Type and screen

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Simulating fire-safe cities using a machine learning-based algorithm for the complex urban forms of developing nations: a case of Mumbai India

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GEOCARTO INTERNATIONAL 2022年第4期37卷 1084-1099页

作者： Kumar, Vaibhav Jana, Arnab Ramamritham, Krithi Indian Inst Technol Ctr Urban Sci & Engn Mumbai Maharashtra India Indian Inst Technol Comp Sci & Engn Mumbai Maharashtra India

The article addresses the void in developing analytical methods concerning to design urban configurations that could reduce fire risks, and, thus, could help in achieving sustainable goals. A novel algorithm is developed to generate alternative Urban Built Form (UBF) models that could be less susceptible to fire compared to the existing built-form. Fire susceptibility of a generated UBF is predicted using a developed linear regression model. The algorithm considers existing regulations to derive rules and develop scenarios that might be effective in building fire-resilient cities. The outcomes of the simulations showed a significant decrease in the fire susceptibility of the southern region of Mumbai city. Moreover, for a certain simulated scenario the predicted UBF could accommodate twice the current population while being less susceptible than the existing UBF. The proposed techniques and methods can act as a decision-making tool in taking pre-emptive planning measures to develop fire resilient cities.

关键词： Heterogeneous urban built form GIS machine learning algorithm fire resilient cities

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Developing an algorithm across integrated healthcare systems to identify a history of cancer using electronic medical records

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JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION 2022年第7期29卷 1217-1224页

作者： Gander, Jennifer C. Maiyani, Mahesh White, Larissa L. Sterrett, Andrew T. Guney, Brianna Pawloski, Pamala A. DeFor, Teri Olsen, YuanYuan Rybicki, Benjamin A. Neslund-Dudas, Christine Sheth, Darsheen Krajenta, Richard Purushothaman, Devaki Honda, Stacey Yonehara, Cyndee Goddard, Katrina A. B. Prado, Yolanda K. Ahsan, Habibul Kibriya, Muhammad G. Aschebrook-Kilfoy, Briseis Chan, Chun-Hung Hague, Sarah Clarke, Christina L. Thompson, Brooke Sawyer, Jennifer Gaudet, Mia M. Feigelson, Heather Spencer Kaiser Permanente Georgia Ctr Res & Evaluat 1375 Peachtree Rd NE Atlanta GA 30309 USA Kaiser Permanente Colorado Inst Hlth Res Aurora CO USA HealthPartners Inst Bloomington MN USA Henry Ford Hlth Syst Dept Publ Hlth Sci Detroit MI USA Kaiser Permanente Hawaii Ctr Integrated Healthcare Honolulu HI USA Hawaii Permanente Med Grp Kaiser Permanente Hawaii Honolulu HI USA Kaiser Permanente Northwest Dept Translat & Appl Genom Ctr Hlth Res Portland OR USA Univ Chicago Inst Populat & Precis Hlth Chicago IL USA Sanford Hlth Sanford Res Sioux Falls SD USA Natl Canc Inst Trans Div Res Program Div Canc Epidemiol & Genet Bethesda MD USA

Objective Tumor registries in integrated healthcare systems (IHCS) have high precision for identifying incident cancer but often miss recently diagnosed cancers or those diagnosed outside of the IHCS. We developed an algorithm using the electronic medical record (EMR) to identify people with a history of cancer not captured in the tumor registry to identify adults, aged 40-65 years, with no history of cancer. Materials and Methods The algorithm was developed at Kaiser Permanente Colorado, and then applied to 7 other IHCS. We included tumor registry data, diagnosis and procedure codes, chemotherapy files, oncology encounters, and revenue data to develop the algorithm. Each IHCS adapted the algorithm to their EMR data and calculated sensitivity and specificity to evaluate the algorithm's performance after iterative chart review. Results We included data from over 1.26 million eligible people across 8 IHCS;55 601 (4.4%) were in a tumor registry, and 44848 (3.5%) had a reported cancer not captured in a registry. The common attributes of the final algorithm at each site were diagnosis and procedure codes. The sensitivity of the algorithm at each IHCS was 90.65%-100%, and the specificity was 87.91%-100%. Discussion Relying only on tumor registry data would miss nearly half of the identified cancers. Our algorithm was robust and required only minor modifications to adapt to other EMR systems. Conclusion This algorithm can identify cancer cases regardless of when the diagnosis occurred and may be useful for a variety of research applications or quality improvement projects around cancer care.

关键词： electronic health records cancer algorithm

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algorithm and criteria for the measurement of energy consumption in a CNC milling machine: a proposal 40

Algorithm and criteria for the measurement of energy consump...

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40th IEEE Central America and Panama Convention (CONCAPAN)

作者： Carlos, Flores L. Edwing, Rosales M. Univ Centroamer Jose Simeon Canas Dept Ciencias Energet & Fluid San Salvador El Salvador Univ Centroamer Jose Simeon Canas Dept Meccin Estruct San Salvador El Salvador

ISBN: (数字)9781728167152

ISBN: (纸本)9781728167152

Energy consumption is a critical variable in a world increasingly concerned about environmental sustainability. Therefore, it is necessary to have procedures that facilitate its measurement. This article presents a summary of the aspects to be considered when planning to monitor energy consumption in a CNC milling process. The synthesis is presented in the form of an algorithm and a set of guiding criteria. The algorithm has been examined evaluating the detailed consumption in a milling of cavities.

关键词： milling machining energy consumption algorithm sustainability

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Testing the simultaneity of Forbush decreases with algorithm-selected Forbush event catalogue

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JOURNAL OF ASTROPHYSICS AND ASTRONOMY 2022年第1期43卷 1-20页

作者： Alhassan, J. A. Okike, O. Chukwude, A. E. Univ Nigeria Dept Phys & Astron Nsukka Nigeria Ebonyi State Univ Dept Ind Phys Abakaliki Nigeria

Accurate detection and precise timing of transient events such as X-ray photons, gamma-ray burst, coronal mass ejections (CMEs), ground-level enhancements (GLEs) and Forbush decreases (FDs) frequently raise issues that remain on the cutting edge of research in astrophysics. In an attempt to automate FD event selection, a combination of Fast Fourier transform as well as FD detection algorithms implemented in the statistical computing software R was developed and recently used to calculate the magnitude and FD event timing. The R-FD code implemented in the present study includes several different calculations. Some subroutines detect both small and large transient intensity reductions (minima/pits) as well as increases (maxima/peaks) in cosmic ray (CR) data. Others calculate event amplitude, timing and cataloguing of the events identified. As the current work focuses on reductions in CR flux (FDs), the subroutine that identifies increases was disabled. Totals of 229 FDs at Magadan neutron monitor (NM), 230 (Oulu NM) and 224 (Inuvick NM) were identified with daily averaged data, while 4032 (Magadan), 4144 (Oulu) and 4055 (Inuvick) were detected with hourly averages. FDs identified as simultaneous at the three stations totaled 99 for the daily and 261 for the hourly CR averages respectively.

关键词： Cosmic rays cosmic ray modulation Forbush decreases algorithm simultaneity large catalogue

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A combined strategy of TK1, HE4 and CA125 shows better diagnostic performance than risk of ovarian malignancy algorithm (ROMA) in ovarian carcinoma

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CLINICA CHIMICA ACTA 2022年 524卷 43-50页

作者： Zhu, Cheng Zhang, Nenghua Zhong, Ailing Xiao, Kangjia Lu, Renquan Guo, Lin Fudan Univ Dept Clin Lab Shanghai Canc Ctr Shanghai Peoples R China Jiaxing Hosp Tradit Chinese Med Dept Clin Lab Municipal Key Innovat Discipline Mol Diagnost Jiaxing Peoples R China Fudan Univ Shanghai Med Coll Dept Oncol Shanghai Peoples R China Fudan Univ Shanghai Canc Ctr Shanghai Med Coll Dept Clin LabDept Oncol 270 Dongan Rd Shanghai 200032 Peoples R China

Background: The dual marker algorithm Risk of Ovarian Malignancy algorithm (ROMA) has been widely used in the clinic for the identification of equivocal pelvic masses in ovarian carcinoma. To obtain higher diagnostic efficiency, we created a new diagnostic index, Risk of Ovarian Malignancy Index (ROMI), by combing thymidine kinase 1 (TK1), HE4 and CA125.& nbsp;Methods: 335 patients with pelvic masses on imaging and 46 healthy controls were enrolled. Serum TK1 was analyzed before further study. ROMI and ROMA were evaluated for diagnostic efficiency.& nbsp;Results: The level of TK1 was elevated in malignant ovarian tumors compared to benign masses (p < 0.001) and healthy controls (p < 0.001). TK1 expression was positively correlated with stage, intrapelvic metastasis, lymphatic metastasis and distant metastasis (all p values < 0.001). The area under the receiver operating characteristic curve (AUC) of ROMI was higher than that of ROMA for both pre-and postmenopausal women. ROMI had better sensitivity, specificity, accuracy, and positive and negative predictive values than ROMA in diagnosis of all-stage or stage I + II ovarian carcinoma for both pre-and postmenopausal women.& nbsp;Conclusions: TK1 is a potential biomarker in detection of ovarian carcinoma. ROMI shows better diagnostic performance than ROMA in distinguishing malignant ovarian tumors from benign masses.

关键词： Ovarian cancer algorithm Thymidine kinase 1 Risk of Ovarian Malignancy Index Risk of Ovarian Malignancy algorithm Tumor markers

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Detection of chemical oxygen demand in water based on UV absorption spectroscopy and PSO-LSSVM algorithm

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Optoelectronics Letters 2022年第4期18卷 251-256页

作者： ZHOU Kunpeng LIU Zhiyang CONG Menglong MAN Shanxin College of Engineering Intelligent Manufacturing Technology Key LaboratoryInner Mongolia Minzu UniversityTongliao 028000China Jingzhou University Jingzhou 434000China Alxa League Meteorological Bureau Alxa 750300China

A method of detecting chemical oxygen demand(COD) of water based on ultraviolet(UV) absorption spectra is proposed. The modeling and analysis of the standard samples and the actual water samples are carried out respectively. For the standard solution samples, the univariate linear models based on single wavelengths and the partial least square(PLS) model based on synergy interval partial least square(Si PLS) and moving window partial least square(MWPLS) are established. For the actual water samples, different pre-processing methods are used. Si PLS and MWPLS are used to select the characteristic bands. The least squares support vector machine algorithm optimized by particle swarm optimization(PSO-LSSVM) algorithm is used to establish the prediction model, and the prediction results of various models are compared. The results show that the optimal model is PSO-LSSVM which uses Si PLS to select the characteristic bands of the first derivative spectra(preprocessing method). The determination coefficient of the prediction set is 0.963 1, and the root mean square error of prediction(RMSEP) is 2.225 4 mg/L. PSO-LSSVM algorithm has good prediction performance for the analysis of COD in actual water samples by UV spectra. This paper provides a new design idea for the research and development of water quality detection optical sensor.

关键词： algorithm prediction bands

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