Bayesian hierarchical model predicts biopharmaceutical stability indicators and shelf life with application to multivalent human papillomavirus vaccine by Federico Ferrari, Jordan Berger, Linda Lemieux, Crina Paduraru, Michael Dillon, Andy Liaw, Ralf Carrillo, Sally Wong, Hossein Salami, Paolo Avalle, Edward Sherer, Douglas Richardson, Daniel Skomski

“…A Bayesian hierarchical stability model was developed utilizing long-term drug product storage data through shelf life at 5 °C as well as shorter-term accelerated stability data at 25 °C and 37 °C for 30 product batches. …”
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A Meta-analysis of acupoint application in the treatment of dysphagia after stroke (穴位贴敷治疗脑卒中后吞咽障碍的Meta分析) by SI Huijie (佀惠婕), LIAO Ruoyi (廖若夷), YU Yanlan (余艳兰), GAO Ziqi (高子琪), LIU Bin (刘彬), GUO Yuan (郭元)

“…Objective To systematically evaluate the efficacy of acupoint application in the treatment of post-stroke dysphagia. …”
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Application Deep Learning to Predict Crypto Currency Prices and their Relationship to Market Adequacy (Applied Research Bitcoin as an Example) by M. Kh. Abdalhammed, A. M. Ghazal, H. M. Ibrahim, A. Kh. Ahmed

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Determination of the Effect of Some Properties on Egg Yield with Regression Analysis Met-hod Bagging Mars and R Application by Demet Canga, Mustafa Boğa

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A/B testing as an effective instrument for adaptation of the user interface at the iterative model of developing applications for mobile devices by Y. G. Pavlovich, I. F. Kirinovich

“…There was also a data security issue in the application, which put users at risk of data loss. …”
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ADVANCED MEDICAL INFORMATION TECHNOLOGY 1.0 PROGRAM APPLICATION IN THE ANALYSIS OF PATIENTS WITH THE AGE-RELATED MACULAR DEGENERATION by Ye. V. Melehin, Yu. I. Khoroshikh, A. A. Krylova

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Subsequent application of self-organizing map and hidden Markov models infer community states of stream benthic macroinvertebrates by Dong-Hwan Kim, Tuyen Van Nguyen, Muyoung Heo, Tae-Soo Chon

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NONCONVENTIONAL RADIOLOGICAL TECHNOLOGIES AND PROCESSES USED FOR NEUROSURGERY IN CORRELATION WITH INTELLECTUAL PROPERTY PROTECTION WITH DIRECT APPLICATION IN HEALTHCARE ORGANIZATIO... by Dan Theodor Andronic, Oana Roxana Chivu, Augustin Semenescu, Dragos Florin Marcu, Mihail Aurel Titu

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CLIMATRIAL: applicability and adaptability of a novel method to quantify the carbon footprint of a South African clinical trial by Nandi Louise Siegfried, Lesley-Ann Erasmus-Claassen, Jessica Griffiths, Lisa Fox, Paula R. Williamson

“…Objectives included to (1) identify gaps in trial activity data, (2) locate local emission factor sources, (3) quantify emissions and (4) investigate modifications required to ensure the method was locally applicable. …”
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Research on mechanism and application of compound roof cutting and pressure relief control in thick sandstone roof mining roadways by Hainan Gao, Shankun Zhao, Yue Shi, Yunpeng Li, Kun Lv, Qiang Fu, Guanghui He, Weiguang Ren, Zhibin Zhou, Lei Chen, Haonan Li

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Design and Application of Push-pull Mode Network System for HX_D3G Locomotive by Hongjie TAO, Wei WANG, Fengrong HAO, Yanmin ZHANG

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Potential applications of a low-cost gas sensor to monitor enteric methane emission from ruminant animals by Mulisa F. Dida, Milad Bagheri Shirvan, Toshikazu Kawaguchi, Sergio C. Garcia, Luciano A. Gonzalez

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Investigation of the Performance of Foot and Eye Care in Patients with Type II Diabetes in Fasa: An Application of the Theory of Planned Behavior by Ali Khani Jeihooni, Niloofar Eskandarzadeh, Azizollah Dehghan, Zahra Khiyali, Mina Bahmandoost

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An Updated Systematic Review on Asthma Exacerbation Risk Prediction Models Between 2017 and 2023: Risk of Bias and Applicability by Liu A, Zhang Y, Yadav CP, Chen W

“…Meanwhile, 5 (50%) studies were rated as having a high concern in applicability due to model complexity.Conclusion: Despite the use of big health data and advanced ML, asthma risk prediction models from 2017– 2023 had high risk of bias and limited practical use. …”
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Microsimulating parcel-level land use and activity-based travel: Development of a prototype application in San Francisco by Paul Waddell, Liming Wang, Billy Charlton, Aksel Olsen

“…The paper describes the motivation for the model system, its design, data development, and preliminary application and testing. …”
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Application of 4PCS and KD-ICP Alignment Methods Based on ISS Feature Points for Rail Wear Detection by Jie Shan, Hao Shi, Zhi Niu

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Evaluation of a digital reporting and supporting tool in breast cancer prevention trials (KarmApp) by José Tapia, Marike Gabrielson, Mattias Hammarström, Yvonne Wengström, Jenny Bergqvist, Aki Tuuliainen, Mikael Eriksson, Kamila Czene, Per Hall, Magnus Bäcklund

“…More prevalent use was seen among younger participants and use increased over calendar period. Supported by our data, KarmApp exemplifies the potential of using mobile technologies in clinical trials.…”
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Application of cayley differential unitary space-time code in multiple-input multiple-output power line communication by Jiaxin DING, Liangfang NI, Yi WANG, Huijie DAI

“…The application of Cayley differential unitary space-time code in MIMO power line communication system was studied.The linear space of complex skew-Hermitian matrices was mapped to isotropic unitary matrix constellations represented by highly non-linear Stiefel manifolds,by which signals were transmitted through a block fading multiple input multiple output power line channel with in a differential mode.Finally,based on the unconstrained solution of the Cauchy random by which data streams were represented,the approximate linear maximum likelihood estimation of the transmitted signal was induced.Simulation results show that although the performance of the proposed scheme is slightly lower than that of the system based on orthogonal differential space-time code in terms of bit error rate and diversity gain,it can ensure high-speed and reliable communication at higher signal-to-noise ratios,and is suitable for multi-input multi-output power line communication systems requiring high-speed data transmission.…”
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Performance evaluation of an adopted model based on big-bang big-crunch and artificial neural network for cloud applications by Pradeep Rawat, Robin Singh Bhadoria, Punit Gupta, Priti Dimri, G. P. Saroha

“…Cloud computing has made computing huge data on the fly and uses flexible resources according to the requirement for real time applications. …”
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Types and applicability of waterflooding characteristic curves in fractured-cavity carbonate reservoirs: A case study of Tahe Oilfield by ZHENG Lingli, ZHU Bingqian, ZHANG Yuhao, LI Xiaobo, PENG Jiaming, XIAO Wenlian

“…Most existing waterflooding characteristic curves are derived from statistical analyses of production data from sandstone reservoirs, commonly categorized into four types: Type A, Type B, Type C, and Type D. …”
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