Designing neural networks for modeling biological data: A statistical perspective by Michele La Rocca, Cira Perna

Subjects: “…multiple testing…”
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Design of single-symbol-decodable QOSTBC with full diversity based on pre-processing by CHENG Wen-jing, LIU Wei, DING Ding, WEI Ji-bo

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Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling by Xianpeng WANG, Yuehao GUO, Mengxing HUANG, Chong SHEN, Chunjie CAO, Wenlong FENG

Subjects: “…bistatic multiple-input multiple-output radar…”
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SOC-Based Simulation of 3D MIMO Mobile-to-Mobile Fading Channels: A Riemann Sum Approach by Carlos A. Gutierrez, Raul A. Fabian-Rodriguez, Francisco R. Castillo-Soria, Cesar A. Azurdia-Meza, Pablo Adasme

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MIMO iterative channel estimation based on extended Kalman filter by Mingfu LI, Yong LIAO, Xuanfan SHEN

Subjects: “…multiple input multiple output…”
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Improving Performance of Integrated Ground-HAPS FSO Communication Links With MIMO Application by Emna Zedini, Yalcn Ata, Mohamed-Slim Alouini

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TEC-ADHERE: Real-World Persistence and Adherence on Dimethyl Fumarate in Patients with Relapsing–Remitting Multiple Sclerosis in the French OroSEP Patient-Support Program by Pierre Labauge, Alain Créange, Thibault Moreau, Jocelyne Nouvet-Gire, Bernard Pedespan, Olivier Heinzlef, Nathalie Texier, Marilyn Gros, Catherine Marti, Marta Ruiz, Mikel Martinez, Giovanni Castelnovo

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The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks by Haishan Deng, Shaofei Xie, Bingren Xiang, Ying Zhan, Wei Li, Xiaohua Li, Caiyun Jiang, Xiaohong Wu, Dan Liu

“…Simultaneous determination of multiple weak chromatographic peaks via stochastic resonance algorithm attracts much attention in recent years. …”
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A Challenge for Diagnosing Acute Liver Injury with Concomitant/Sequential Exposure to Multiple Drugs: Can Causality Assessment Scales Be Utilized to Identify the Offending Drug? by Roxanne Lim, Hassan Choudry, Kim Conner, Wikrom Karnsakul

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Using Flow 3D Simulation, Multiple Nonlinear Regression Approach, and Artificial Neural Network Approach Approaches to Study the Behavior of Vertical Drop Structures by Shaikhli Hasan Al, Mohammed Sarah Hashim, Al-Khafaji Zainab

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Teacher competency and work engagement among secondary school physical education teachers: the multiple mediating roles of occupational stress, emotional exhaustion, and professional achievement by Weisong Chen, Zhen Huang, Bo Peng, Lin Li, Jingsong Chen

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Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya by Yashon O. Ouma, Clinton O. Okuku, Evalyne N. Njau

“…The performance of the FNN model is compared with the multiple linear regression (MLR) model. For both FNN and MLR models, the use of the eight water quality parameters yielded the best DO prediction results with respective Pearson correlation coefficient R values of 0.8546 and 0.6199. …”
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Is There a Major Role for Undetected Autism Spectrum Disorder with Childhood Trauma in a Patient with a Diagnosis of Bipolar Disorder, Self-Injuring, and Multiple Comorbidities? by Claudia Carmassi, Carlo Antonio Bertelloni, Gianluca Salarpi, Elisa Diadema, Maria Teresa Avella, Valerio Dell’Oste, Liliana Dell’Osso

“…This case report highlights the relevance of the consequences of trauma in a female patient with an undetected autism spectrum disorder (ASD) affected by bipolar disorder (BD) with multiple comorbidities. A 35-year-old woman with BD type II, binge eating disorder and panic disorder was admitted in the Inpatient Unit of the Psychiatric Clinic of the University of Pisa because of a recrudescence of depressive symptomatology, associated with increase of anxiety, noticeable ruminations, significant alteration in neurovegetative pattern, and serious suicide ideation. …”
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DisCo P-ad: Distance-Correlation-Based <i><b>p</b></i>-Value Adjustment Enhances Multiple Testing Corrections for Metabolomics by Debmalya Nandy, Debashis Ghosh, Katerina Kechris

Subjects: “…multiple testing…”
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Effect of multiple counselling contacts along the continuum of care on use of postpartum family planning in a cohort of Ethiopian women: a dose-response analysis by Saifuddin Ahmed, Anne Pfitzer, Firew Ayalew, Gebi Husein Jima, Deborah Sitrin

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Transcatheter closure of multiple ventricular septal ruptures after acute myocardial infarction: a case report highlighting the role of 3D transthoracic echocardiography by Tengku Winda Ardini, Yuke Sarastri, Joy Wulansari Purba, Yasdika Imam Taufik, Suci Asriri, Ali Nafiah Nasution

Subjects: “…Multiple ventricular septal ruptures…”
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Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline by Zhengxiao Yang, Hao Zhou, Sudesh Srivastav, Jeffrey G. Shaffer, Kuukua E. Abraham, Samuel M. Naandam, Samuel Kakraba

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Rare Differential Diagnosis of Dyspnea: Extramedullary Plasmocytoma (EMP) of the Larynx—Case Report and Review of the Latest Literature of Laryngeal EMP and Laryngeal Involvement of Multiple Myeloma by Kim Vanessa Steinke, Barbara Karoline Schneider, Hans Jürgen Welkoborsky

“…Multiple myeloma (MM) of the larynx is extremely rare. …”
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Massively Parallel Screening of Toll/Interleukin‐1 Receptor (TIR)‐Derived Peptides Reveals Multiple Toll‐Like Receptors (TLRs)‐Targeting Immunomodulatory Peptides by Yun Lim, Tae Kyeom Kang, Meong Il Kim, Dohyeon Kim, Ji Yul Kim, Sang Hoon Jung, Keunwan Park, Wook‐Bin Lee, Moon‐Hyeong Seo

“…Interference of intracellular TLR signaling, which is mediated by multiple Toll/interleukin‐1 receptor (TIR) domains on all TLRs and TLR adapters, is an effective therapeutic strategy against immune dysregulation. …”
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Credit Risk Assessment for Small and Microsized Enterprises Using Kernel Feature Selection-Based Multiple Criteria Linear Optimization Classifier: Evidence from China by Yimeng Wang, Yunqi Zhang

“…Furthermore, we improve the multiple criteria linear optimization classifier (MCLOC) by introducing the one-norm kernel feature selection and thereby establish the kernel feature selection-based multiple criteria linear optimization classifier (KFS-MCLOC). …”
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