Experimental Validation of Cryobot Thermal Models for the Exploration of Ocean Worlds by Paula do Vale Pereira, Michael J. Durka, Bartholomew P. Hogan, Kristof Richmond, Miles W. E. Smith, Dale P. Winebrenner, W. Timothy Elam, Benjamin J. Hockman, Alberto Lopez, Neal Tanner, Joshua Moor, James Ralston, Miriam Alexander, Wayne Zimmerman, Nolan Flannery, William Kuhl, Sarah Wielgosz, Kerri L. Cahoy, Thomas A. Cwik, William C. Stone

“…These melt probes were tested at power levels ranging from 120 to 1135 W, achieving descent speeds between 5.3 and 59 cm hr ^−1 . By analyzing the relationship between power and speed using analytical and high-fidelity numerical models, we demonstrate progress in understanding melt probe performance. …”
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Using Machine Learning to Build an Early Warning Model for the Risk of Severe Airflow Limitation in Patients with Chronic Obstructive Pulmonary Disease by ZHOU Lijuan, WEN Xianxiu, LYU Qin, JIANG Rong, WU Xingwei, ZHOU Huangyuan, XIANG Chao

“…A total of 216 prediction models were obtained using 17 machine learning algorithms and 1 integrated learning for each of the 12 datasets. 17 machine learning algorithms with 10-fold cross-validation showed that the differences were statistically significant (P<0.05) when comparing the prediction performance of different algorithms, and the average AUC of the stochastic gradient descent algorithm was maximum (0.738±0.089) . The results of external validation of the test set using the Bootstrapping algorithm showed that the differences were statistically significant (P<0.05) when comparing the prediction performance of the models obtained by different algorithms, and the average AUC of the integrated learning algorithm was maximum (0.757±0.057) . …”
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Association between human blood metabolome and the risk of delirium: a Mendelian Randomization study by Chubing Long, Chubing Long, Dong Lin, Dong Lin, Lieliang Zhang, Lieliang Zhang, Yue Lin, Yue Lin, Qing Yao, Qing Yao, Guangyong Zhang, Guangyong Zhang, Longshan Li, Longshan Li, Hailin Liu, Hailin Liu, Jun Ying, Jun Ying, Xifeng Wang, Xifeng Wang, Fuzhou Hua, Fuzhou Hua

“…Our aim was to employ Mendelian randomization (MR) to investigate the potential causal relationship between metabolites and delirium, as well as to identify potential therapeutic targets.MethodsWe identified 129 distinct blood metabolites from three genome-wide association studies (GWASs) conducted on the metabolome, involving a total of 147,827 participants of European descent. Genetic information pertaining to delirium was sourced from the ninth iteration of the Finngen Biobank, encompassing 359,699 individuals of Finnish ancestry. …”
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Accuracy and efficiency of an artificial intelligence-based pulmonary broncho-vascular three-dimensional reconstruction system supporting thoracic surgery: Retrospective and prospe... by Xiang Li, Shanyuan Zhang, Xiang Luo, Guangming Gao, Xiangfeng Luo, Shansi Wang, Shaolei Li, Dachuan Zhao, Yaqi Wang, Xinrun Cui, Bing Liu, Ye Tao, Bufan Xiao, Lei Tang, Shi Yan, Nan Wu

“…Methods: This AI system was developed based on a 3D convolutional neural network (CNN) and optimized by gradient descent after training with 500 cases, achieving a Dice coefficient of 89.2%. …”
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Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative by Ruth Johnson, Yi Ding, Vidhya Venkateswaran, Arjun Bhattacharya, Kristin Boulier, Alec Chiu, Sergey Knyazev, Tommer Schwarz, Malika Freund, Lingyu Zhan, Kathryn S. Burch, Christa Caggiano, Brian Hill, Nadav Rakocz, Brunilda Balliu, Christopher T. Denny, Jae Hoon Sul, Noah Zaitlen, Valerie A. Arboleda, Eran Halperin, Sriram Sankararaman, Manish J. Butte, UCLA Precision Health Data Discovery Repository Working Group, UCLA Precision Health ATLAS Working Group, Clara Lajonchere, Daniel H. Geschwind, Bogdan Pasaniuc

“…Methods We quantify the extensive continental and subcontinental genetic diversity within the ATLAS data through principal component analysis, identity-by-descent, and genetic admixture. We assess the relationship between genetically inferred ancestry (GIA) and >1500 EHR-derived phenotypes (phecodes). …”
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Classification and Recognition Method for Yak Meat Parts Based on Improved Residual Network Model by ZHU Haipeng, ZHANG Yu'an, LI Huanhuan, WANG Jianwen, YANG Yingkui, SONG Rende

“…According to the experiments, the stochastic gradient descent (SGD) algorithm was adopted as the optimizer, and when the learning rate was 0.001 and the weight attenuation coefficient was 0, the improved ReaNet18_CBAM network model had the fastest convergence speed and the highest recognition accuracy on different parts of yak data sets. …”
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Role of imaging in the management of thyroglossal duct cyst carcinomas (TGC-TIRADS): a single centre retrospective study over 16 years by Abhishek Mahajan, Shonal Deokar, Shubham Suryavanshi, Ujjwal Agarwal, Richa Vaish, Shreya Shukla, Tanvi Vaidya, Vasundhara Smriti, Vidisha Tuljapurkar, Shivam Rastogi, Atif Shaikh, Pankaj Chaturvedi, Anil Keith Dcruz, Asawari Patil, Munita Bal, Swapnil Ulhas Rane, Neha Mittal, Vanita Noronha, Kumar Prabhash, Vijay Patil, Prathamesh Pai

“…The cyst is known to develop anywhere along the pathway of thyroid descent but is more frequently seen in the infrahyoid neck in the midline. …”
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Mythical Origins of the Motifs of the Earth in Mysticism (Earth in Mysticism and Its Mythological Roots) by Noush-Afarin Kalantar, Tahereh Sadeghi Tahsili, Mohammad Reza Hassani Jalilian, Ali Heydari

“…These categories of functions are the abode of descent, well, prison, the mother of existence, a prelude to entering the Minouy life or rebirth. …”
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Menging maakt verschil by Andreas Lodewijk Ouwehand

“…They were replaced by low-income households who from the end of the twentieth century on were also of migrant descent. The identity and reputation of many of these early post-war areas thus changed. …”
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Estimation of NO₂ emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique by Q. Tu, Q. Tu, F. Hase, Z. Chen, M. Schneider, O. García, F. Khosrawi, S. Chen, T. Blumenstock, F. Liu, K. Qin, J. Cohen, Q. He, S. Lin, H. Jiang, H. Jiang, D. Fang, D. Fang

“…This study presents a comprehensive method to estimate average tropospheric NO<span class="inline-formula">₂</span> emission strengths derived from 4-year (May 2018–June 2022) TROPOspheric Monitoring Instrument (TROPOMI) observations by combining a wind-assigned anomaly approach and a machine learning (ML) method, the so-called gradient descent algorithm. This combined approach is firstly applied to the Saudi Arabian capital city of Riyadh, as a test site, and yields a total emission rate of <span class="inline-formula">1.09×10²⁶</span> molec. s<span class="inline-formula">⁻¹</span>. …”
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HLA haplotype frequencies and diversity in patients with hemoglobinopathies by Graziana M. Scigliuolo, Wahid Boukouaci, Barbara Cappelli, Fernanda Volt, Monica M. Rivera Franco, Nathalie Dhédin, Regis Peffault deLatour, Christine Devalck, Jean‐Hugues Dalle, Martin Castelle, Olivier Hermine, Marie Ouachée Chardin, Xavier Poiré, Bénédicte Brichard, Catherine Paillard, Hanadi Rafii, Chantal Kenzey, Ching‐Lien Wu, Jihène Bouassida, Marie Robin, Nicole Raus, Vanderson Rocha, Annalisa Ruggeri, Eliane Gluckman, Ryad Tamouza, Eurocord and Société Francophone de Greffe de Moelle et de Thérapie Cellulaire (SFGM‐TC)

“…Our findings emphasize the need to expand inclusion of donors of African descent in HCT donor registries and cord blood banks.…”
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Artificial intelligence applied to analyzes during the pandemic: COVID-19 beds occupancy in the state of Rio Grande do Norte, Brazil by Tiago de Oliveira Barreto, Nícolas Vinícius Rodrigues Veras, Nícolas Vinícius Rodrigues Veras, Pablo Holanda Cardoso, Pablo Holanda Cardoso, Felipe Ricardo dos Santos Fernandes, Luiz Paulo de Souza Medeiros, Maria Valéria Bezerra, Filomena Marques Queiroz de Andrade, Chander de Oliveira Pinheiro, Ignacio Sánchez-Gendriz, Gleyson José Pinheiro Caldeira Silva, Gleyson José Pinheiro Caldeira Silva, Leandro Farias Rodrigues, Antonio Higor Freire de Morais, Antonio Higor Freire de Morais, João Paulo Queiroz dos Santos, João Paulo Queiroz dos Santos, Jailton Carlos Paiva, Jailton Carlos Paiva, Ion Garcia Mascarenhas de Andrade, Ricardo Alexsandro de Medeiros Valentim

“…The results showed better performance in terms of accuracy (84.01%), precision (79.57%), and F1-score (81.00%) for the Multilayer Perceptron model with Stochastic Gradient Descent optimizer. The best results for recall (84.67%), specificity (84.67%), and ROC-AUC (91.6%) were achieved by Root Mean Squared Propagation. …”
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The Problems of Mazdakology Studies by abdolah safarzaie

“…This serious damage to the study of allegorical scholarship has caused a sharp and widely differing views on Mazdak's hometown and descent, the background of intellectual teachings, beliefs, doctrines and beliefs of Mazdaki, the geographic scope and the course of the historical continuity of Mazdak beliefs, etc. not only in the sources, but also in the views of scholars and historians of Mazdak. …”
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The Policy of Kalb Ali Khan Kangarloo Nakhjavani towards the Government of Agha Mohammad Khan Qajar:From Convergence to Divergence by Fatemeh Jafarnia, Mohammad Aziznejad

“…From the death of Nader Shah Afshar until the rise of Agha Mohammad Khan Qajar, the main actors in the political developments in the Caucasus were played by local ruling families of Turkmen descent. The Kangarloo dynasty was also one of the local rulers of the Caucasus who, following the death of Nader Shah, established an independent government in their tribal territory in Nakhjavan. …”
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Discovery of Genetic Variation on Chromosome 5q22 Associated with Mortality in Heart Failure by Wang, Xinchen, Kellis, Manolis, Boyer, Laurie Ann

“…In addition, we observed evidence of recent positive selection acting on the risk allele in populations of African descent. Our findings provide novel genetic leads to factors that influence mortality in patients with heart failure.…”
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Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms by Rusu, Victor, Hoch, Eitan, Mercader, Josep M., Tenen, Danielle E., Gymrek, Melissa, Hartigan, Christina R., DeRan, Michael, von Grotthuss, Marcin, Fontanillas, Pierre, Spooner, Alexandra, Guzman, Gaelen, Deik, Amy A., Pierce, Kerry A., Dennis, Courtney, Clish, Clary B., Carr, Steven A., Wagner, Bridget K., Schenone, Monica, Ng, Maggie C.Y., Chen, Brian H., Centeno-Cruz, Federico, Zerrweck, Carlos, Orozco, Lorena, Schreiber, Stuart L., Florez, Jose C., Jacobs, Suzanne B.R., Ng, Maggie C.Y., Shriner, Daniel, Chen, Brian H., Li, Jiang, Chen, Wei-Min, Guo, Xiuqing, Liu, Jiankang, Bielinski, Suzette J., Yanek, Lisa R., Nalls, Michael A., Comeau, Mary E., Rasmussen-Torvik, Laura J., Jensen, Richard A., Evans, Daniel S., Sun, Yan V., An, Ping, Patel, Sanjay R., Lu, Yingchang, Long, Jirong, Armstrong, Loren L., Wagenknecht, Lynne, Yang, Lingyao, Snively, Beverly M., Palmer, Nicholette D., Mudgal, Poorva, Langefeld, Carl D., Keene, Keith L., Freedman, Barry I., Mychaleckyj, Josyf C., Nayak, Uma, Raffel, Leslie J., Goodarzi, Mark O., Chen, Y-D Ida, Taylor, Herman A., Correa, Adolfo, Sims, Mario, Couper, David, Pankow, James S., Boerwinkle, Eric, Adeyemo, Adebowale, Doumatey, Ayo, Chen, Guanjie, Mathias, Rasika A., Vaidya, Dhananjay, Singleton, Andrew B., Zonderman, Alan B., Igo, Robert P., Sedor, John R., Kabagambe, Edmond K., Siscovick, David S., McKnight, Barbara, Rice, Kenneth, Liu, Yongmei, Hsueh, Wen-Chi, Zhao, Wei, Bielak, Lawrence F., Kraja, Aldi, Province, Michael A., Bottinger, Erwin P., Gottesman, Omri, Cai, Qiuyin, Zheng, Wei, Blot, William J., Lowe, William L., Pacheco, Jennifer A., Crawford, Dana C., Grundberg, Elin, Rich, Stephen S., Hayes, M. Geoffrey, Shu, Xiao-Ou, Loos, Ruth J.F., Borecki, Ingrid B., Peyser, Patricia A., Cummings, Steven R., Psaty, Bruce M., Fornage, Myriam, Iyengar, Sudha K., Evans, Michele K., Becker, Diane M., Kao, W.H. Linda, Wilson, James G., Rotter, Jerome I., Sale, Michèle M., Liu, Simin, Rotimi, Charles N., Bowden, Donald W., Mercader, Josep M., Huerta-Chagoya, Alicia, García-Ortiz, Humberto, Moreno-Macías, Hortensia, Manning, Alisa, Caulkins, Lizz, Burtt, Noël P., Flannick, Jason, Patterson, Nick, Aguilar-Salinas, Carlos A., Tusié-Luna, Teresa, Altshuler, David, Florez, Jose C., Martínez-Hernández, Angélica, Centeno-Cruz, Federico, Barajas-Olmos, Francisco Martin, Zerrweck, Carlos, Contreras-Cubas, Cecilia, Mendoza-Caamal, Elvia, Revilla-Monsalve, Cristina, Islas-Andrade, Sergio, Córdova, Emilio, Soberón, Xavier, Orozco, Lorena, González-Villalpando, Clicerio, González-Villalpando, María Elena, Haiman, Christopher A., Wilkens, Lynne, Le Marchand, Loic, Monroe, Kristine, Kolonel, Laurence, Arellano-Campos, Olimpia, Ordóñez-Sánchez, Maria L., Rodríguez-Torres, Maribel, Segura-Kato, Yayoi, Rodríguez-Guillén, Rosario, Cruz-Bautista, Ivette, Muñoz-Hernandez, Linda Liliana, Sáenz, Tamara, Gómez, Donají, Alvirde, Ulices, Almeda-Valdés, Paloma, Cortes, Maria L., Lander, Eric Steven, Altshuler, David

“…Type 2 diabetes (T2D) affects Latinos at twice the rate seen in populations of European descent. We recently identified a risk haplotype spanning SLC16A11 that explains ∼20% of the increased T2D prevalence in Mexico. …”
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Transmission strategies for wireless networks powered by wireless energy transfer and energy harvesting by Yang, Gang

“…For PFE maximization, it is shown to be a biconvex problem, and we propose a block-coordinate-descent based algorithm to find the close-to-optimal solution. …”
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Deep convolutional neural network and IoT technology for healthcare by Sobia Wassan, Hu Dongyan, Beenish Suhail, N.Z. Jhanjhi, Guanghua Xiao, Suhail Ahmed, Raja Kumar Murugesan

“…Using a backpropagation algorithm and stochastic gradient descent, deep Learning develops artificial neural systems with several interconnected layers. …”
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Reading out Khayyam in light of the circumstances of his time Case Study: Garden City, South of Neyshabour (Shadyakh) by nahid jafari dehkordi

“…In his time, Khorasan was still familiar with the memory of Iran's pre-Islamic culture, perhaps some still hoped that in the not too distant future, Iran would regain its former glory; however, the descent of the tribes of Ghaz, Tatar, followed by the Mongols, this Made Dream a tough nightmare and created a demagogic and disinterested philosophy of the world among the people. …”
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Diversidad genética y ancestría del ganado Hartón del Valle mediante ADN mitocondrial Estimação da ancestralidade e da diversidade genética no gado Hartón del Valle utilizando DNA... by Luz A Álvarez, Víctor J Vera, Heiber Cárdenas, Guillermo Barreto

“…<br>The Hartón del Valle(HV)cattleisa Criollo breed of Spanish descent that has adapted to the conditionsof the Cauca valley (Colombia). …”
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