Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction by CHEN Dengkai, XIAO Yao, XIAO Jianghao, ZHOU Yao, YANG Cong

“…The experimental result shows the HC-CEBARKNC algorithm proposed has better evaluation accuracy that contribute to practical indicators reduction and decision rules screening.…”
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Confirmation bias through selective readout of information encoded in human parietal cortex by Hame Park, Ayelet Arazi, Bharath Chandra Talluri, Marco Celotto, Stefano Panzeri, Alan A. Stocker, Tobias H. Donner

“…Abstract Decision-makers often process new evidence selectively, depending on their current beliefs about the world. …”
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Invasive urodynamic investigations in the management of women with refractory overactive bladder symptoms: FUTURE, a superiority RCT and economic evaluation by Mohamed Abdel-Fattah, Christopher Chapple, Suzanne Breeman, David Cooper, Helen Bell-Gorrod, Preksha Kuppanda, Karen Guerrero, Simon Dixon, Nikki Cotterill, Karen Ward, Hashim Hashim, Ash Monga, Karen Brown, Marcus Drake, Andrew Gammie, Alyaa Mostafa, Rebecca Bruce, Victoria Bell, Christine Kennedy, Suzanne Evans, Graeme MacLennan, John Norrie

“…However, only 20% of those with USI had a treatment decision for SUI surgery. No evidence of DO or USI was noted in 20% of cases. …”
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Monitoring of the productivity and quality of the winter rye grain of the new yield in the Bryansk region throughout 2012–2016 by F. I. Klimenkov, S. M. Gradskov, О. A. Shchuklina, N. L. Kuznetsova, I. N. Klimenkova, O. I. Ermolenko

“…It is possible to build a reliable grain balance on the basis of the monitoring results of the grain quality of the new yield in the scope of studies of composite samples taken from at least 50% of the gross yield.…”
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End-to-end deep fusion of hyperspectral imaging and computer vision techniques for rapid detection of wheat seed quality by Tingting Zhang, Jing Li, Jinpeng Tong, Yihu Song, Li Wang, Renye Wu, Xuan Wei, Yuanyuan Song, Rensen Zeng

“…These findings were further supported by external samples and visualizations. The proposed end-to-end decision fusion DCNN model simplifies the training process compared to traditional two-stage fusion methods. …”
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Development and validation of a visual impairment prediction nomogram in chronic kidney diseases: the National Health and Nutrition Examination Survey, 1999-2008 by Yu-He Tan, Jia-Qi Li, Xu-Fang Sun

“…CONCLUSION: The nomogram may help to screening the probability of VI in patients with CKD. Larger samples are needed to validate and improve the model to increase its efficacy.…”
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Determining Maritime Health Online Training Needs for Seafarers and Doctors in Maritime Transportation by Seher Suendam Arıcı, Esma Uflaz, Emre Akyüz, Özcan Arslan

“…This study contributes to the literature as it is applied to a relatively large sample of household micro datasets.…”
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The Liberalization Effect on Air Transport Expenditure Choices of Turkish Households: The Perspective of Micro Data Analysis by Gizem Kaya Aydın, Hidayet Beyhan, Umut Aydın, Berker Pandır

“…This study contributes to the literature as it is applied to a relatively large sample of household micro datasets.…”
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A Mobile Sperm Analyzer with User-Friendly Microfluidic Chips for Rapid On-Farm Semen Evaluation by Shu-Sheng Lin, Chang-Yu Chen, Cheng-Ming Lin, Tsun-Chao Chiang, Yu-Siang Tang, Chang-Ching Yeh, Wei-Fan Hsu, Andrew M. Wo

“…A method comparison using 77 farm-collected samples confirmed agreement through Passing–Bablok regression and Bland–Altman analysis. …”
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Can Different Cultivars of <i>Panicum maximum</i> Be Identified Using a VIS/NIR Sensor and Machine Learning? by Gelson dos Santos Difante, Gabriela Oliveira de Aquino Monteiro, Juliana Caroline Santos Santana, Néstor Eduardo Villamizar Frontado, Jéssica Gomes Rodrigues, Aryadne Rhoana Dias Chaves, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, Luis Carlos Vinhas Ítavo, Fabio Henrique Rojo Baio, Gabriela Souza Oliveira, Carlos Antonio da Silva Junior, Vanessa Zirondi Longhini, Alexandre Menezes Dias, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro

“…Here, we achieved better model accuracy using only 40 leaf samples. In the present study, the J48 decision tree model proved to have good classification performance regardless of the sample size used, which makes it a strategic model for forage cultivar classification studies in smaller or larger datasets.…”
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Human Papillomavirus Positivity and Cognitive Function in Older U.S. Adults: A Cross-Sectional Population-Based Study by Thomas J. Farrer, Jonathan D. Moore, Brinley N. Zabriskie, Morgan Chase, Chris H. Miller, Shawn D. Gale, Dawson W. Hedges

“…These findings suggest that there may not be a significant association between HPV infection and cognitive scores in this NHANES sample. Stakeholders, including policymakers and healthcare providers, should consider these findings in their professional decision-making. …”
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Exploring lack of trust and its impact on access and utilization of primary healthcare services among African immigrant women in the United States: a qualitative study of Ethiopian... by Gashaye Melaku Tefera

“…A mix of purposive and snowball sampling was used to recruit participants who: (1) identify as an Ethiopian immigrant; (2) identify as a female; (3) be 18 years and older; (4) arrived in the U.S. within the last five years; and (5) speak Amharic or English languages. …”
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Predictors of intention to sign an organ donor card among Iranian clinical nurses: an application of the expanded organ donation model by Sajjad Abdolmaleki, Sanaz Khalili, Mahnaz Farzian, Sahar Khoshravesh

“…Participants were recruited by convenience sampling method and surveyed on being a donor and their perceptions about signing the donor card. …”
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Explaining the Understanding of Elderly Patients with Type 2 Diabetes Regarding Information Therapy Related to Self-care: A Qualitative Study by Masoud Koorki, Alireza Isfandyari–Moghaddam, Atefeh Zarei, Sahar Khoshravesh, Erfan Ayubi

“…This method plays an important role in empowering patients to make informed health decisions and participate in the recovery process. …”
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Rates and Risk Factors of Bacteriuria in Patients with Bladder Cancer Who Underwent Treatment with Bacillus Calmette-Guérin by Seong Jong Eun, Myung Soo Kim, Seung Il Jung, Hyun-Jung Choi, Ho Seok Chung, Eu Chang Hwang, Dong Deuk Kwon

“…Predictive factors could aid in clinical decisions during BCG treatments as well as decisions on BCG discontinuation.…”
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The impact of big data analytics on the sustainability reports quality by Lina Fuad Hussien, Khaled Alshaketheep, Hind Al-Ahmed, Ahmad Shajrawi, Mahmoud Alghizzawi, Omar Zraqat, Arafat Deeb

“…Accuracy and integrity can be achieved by balancing the use of automated systems with embedded human decision-making skills, along with strict standard risk management policies. …”
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A Hybrid Method of 1D-CNN and Machine Learning Algorithms for Breast Cancer Detection by Ahmed Adil Nafea, Manar AL-Mahdawi, Khattab M Ali Alheeti, Mustafa S. Ibrahim Alsumaidaie, Mohammed M AL-Ani

“…This study introduces an approach that utilizes 1D CNN as feature extraction and employs machine learning (ML) algorithms such as XGBoost, random forests (RF), decision trees (DT) support vector machines (SVM) and k nearest neighbor (KNN) to classify samples as either benign or malignant aiming to enhance accuracy. …”
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Relationship between Corporate CEO Succession Planning and Corporate Performance by Zongyi Yin, Jiamei Ye, Xiaoying Wang, Fang Su

“…In an increasingly competitive market environment, as an important decision for strategic change, CEO succession is a key step to driving sustainable development. …”
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RETRACTED: The Impact of Corporate Social Responsibility on Sustainable Innovation: A Case in China’s Heavy Pollution Industry by Rui Yan, Rui Yan, Xiaolin Li, Xiaoning Zhu, Xiaoning Zhu

“…Using a sample of 224 Chinese A-share businesses in the heavy pollution industry listed between 2016 and 2020 and employing an ordinary least square regression, the results provide empirical evidence that CSR is positively associated with sustainable innovation. …”
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Development of a Scale for Measuring Cognitive Biases Related to Risk-Taking Among Firefighters: The Five Cognitive Bias Risk Scale (5 CBR-S) by Sébastien Lhardy, Emma Guillet-Descas, Guillaume Martinent

“…It can be used both among firefighters and in other professional contexts involving high-intensity emergency decision-making.…”
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