The Role of Anatomical Imaging and Intraoperative Neuromonitoring (IONM) for Successful Prediction of a Nonrecurrent Laryngeal Nerve by Hiroki Kuwazoe, Keisuke Enomoto, Daichi Murakami, Naoko Kumashiro, Saori Takeda, Muneki Hotomi

“…IONM contributed to the prevention of NRLN injury during the surgery. We believe that it is important to confirm the presence or absence of an aberrant subclavian artery on preoperative imaging, and that IONM should be considered to identify the NRLN to prevent vocal cord paralysis if its presence is suspected.…”
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Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution by Yirui Wu, Yukai Ding, Yuelong Zhu, Jun Feng, Sifeng Wang

“…Considering the significance of modeling attention capability among hydrology factors, we believe extraction of discriminative hydrology factors not only reflect natural rules in physical space, but also optimally model iterations of factors to forecast run-off values in cyber space. …”
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Do Not Miss the Tumor: A Novel Presentation of Osteosarcoma by Michael DePalma, Sachin Gupta, Jie Nguyen, Divya Talwar, Alexandre Arkader, Lawrence Wells

“…Because primary-care physicians and pediatricians may be the first medical providers to encounter patients with osteosarcoma, it is imperative that such clinicians are familiar with the signs and symptoms associated with osteosarcomas in order to reduce the risk of metastasis and disease progression and prevent treatment delays. Additionally, we believe these clinicians should have a low threshold to refer patients to orthopedists or oncologic specialists in the cases of persistent pain or inconsistencies with history, physical exam, and diagnostic studies. …”
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Assessment of the Opinions of Anesthesiology and Reanimation Research Assistants Regarding Clinical Anatomy Education: A University Example by Mustafa Büyükcavlak, Zeliha Fazlıoğulları, Nadire Ünver Doğan, İnci Kara, Emine Aslanlar

“…Conclusion: In the process of anesthesiology and reanimation specialization training, we believe that incorporating clinical anatomy education would enhance the quality of specialization education, thereby improving safety and effectiveness in clinical applications.…”
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Multilayer all-polymer metasurface stacked on optical fiber via sequential micro-punching process by Kim Moohyuk, Park Nu-Ri, Yu Aran, Kim Jin Tae, Jeon Minseok, Jeon Seung-Woo, Han Sang-Wook, Kim Myung-Ki

“…In addition, the 1550 nm beam passing through three OAM metasurfaces on the fiber is converted into a perfect vortex beam with a topological charge of 3. We believe that our proposed micro-punching process will cause a breakthrough in the fabrication of metasurface-integrated optical fibers that will be utilized in a wide range of applications.…”
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Lifestyle and Chronic Constipation in Medical Students by Mehmet Aykut Yildirim, Murat Cakir, Mehmet Bicer, Mustafa Senturk, Harun Yonar, Merve Nur Gur, Zeliha Nur Akiner, Ayse Guldiken, H. Kaan Karagul, Bugra Ceri

“…The results of our study showed that medical education did not curb constipation frequency. We believe that stress is significant in constipation. …”
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Generation of iPSCs by Nonintegrative RNA-Based Reprogramming Techniques: Benefits of Self-Replicating RNA versus Synthetic mRNA by Heidrun Steinle, Marbod Weber, Andreas Behring, Ulrike Mau-Holzmann, Christian Schlensak, Hans Peter Wendel, Meltem Avci-Adali

“…Nevertheless, the use of a single srRNA to induce pluripotency was less time consuming, faster, and more efficient than the daily transfection of cells with synthetic mRNAs. Therefore, we believe that the srRNA-based approach might be more appropriate and efficient for the reprogramming of different types of somatic cells for clinical applications.…”
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A Survey of Data Partitioning and Sampling Methods to Support Big Data Analysis by Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salman Salloum, Tamer Z. Emara, Kuanishbay Sadatdiynov

“…In this survey, we also summarize the prevailing strategies and related work on sampling-based approximation on Hadoop clusters. We believe that data partitioning and sampling should be considered together to build approximate cluster computing frameworks that are reliable in both the computational and statistical respects.…”
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Evaluating the potential of assembler-binner combinations in recovering low-abundance and strain-resolved genomes from human metagenomes by Hajra Qayyum, Muhammad Sarfraz Talib, Amjad Ali, Masood Ur Rehman Kayani

“…This suggests the profound impact of selecting the right assembler-binner combination for metagenome analyses. We believe this study will be a cornerstone for the scientific community, guiding the choice of tools by highlighting their complementary effects. …”
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In vivo electrical properties of the healthy liver and the hepatic tumor in a mouse model between 1 Hz and 1 MHz during a thermal treatment by Yitong Guo, Weice Wang, Weichen Li, Junyao Li, Mingxu Zhu, Ruteng Song, Wenjing Zhu, Lei Wang, Zhenyu Ji, Xuetao Shi

“…Additionally, it was demonstrated that the electrical properties could be reversed when the temperature was below or equal to 45 °C.Conclusion: We believe that these results will contribute to the advancement of radiofrequency ablation systems and the development of techniques for temperature monitoring during liver thermal treatment.…”
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Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

“…Additionally, we compare our detection and tracking methods to human performance on external data in studying the motility of muscle stem cells with different physiological and molecular stimuli. We believe that our method has the potential to improve the accuracy and efficiency of cell tracking and motility analysis. …”
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Design of a dual randomized trial in a type 2 hybrid effectiveness—implementation study by June Stevens, Sarah Denton Mills, Mary-Louise Millett, Feng-Chang Lin, Jennifer Leeman

“…Conclusions On the surface, the design of a DRCT can appear simple, but actual application is complex. We believe it is that complexity that has limited its use in the literature. …”
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Enhanced multiscale human brain imaging by semi-supervised digital staining and serial sectioning optical coherence tomography by Shiyi Cheng, Shuaibin Chang, Yunzhe Li, Anna Novoseltseva, Sunni Lin, Yicun Wu, Jiahui Zhu, Ann C. McKee, Douglas L. Rosene, Hui Wang, Irving J. Bigio, David A. Boas, Lei Tian

“…Additionally, we show that DS preserves geometry in 3D on cubic-centimeter tissue blocks, allowing for visualization of meso-scale vessel networks in the white matter. We believe that our technique has the potential for high-throughput, multiscale imaging of brain tissues and may facilitate studies of brain structures.…”
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The Joint Research Centre’s Expertise in Nuclear Safeguards Sample Analysis by Hernández Ana María Sánchez, Buda Razvan, Casteleyn Karin, Commin Lorelei, D’Amati Francesco, Horta Joan, Le Terrier Arnaud, Mühleisen Artur, Stohr Sarah, Schorlé Hélène, Toma Magdalena, Zuñiga Martin Vargas, Wojnowski Denis, Zsigrai Jozsef, Mayer Klaus

“…This paper provides insights into the factors that we believe have contributed to our top performance, including our rigorous quality control processes, our commitment to staff training and development, and our investment in state-of-the-art instrumentation. …”
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Optimizing Polar Air Traffic: Strategies for Mitigating the Effects of Space Weather‐Induced Communication Failures Poleward of 82°N by Dabin Xue, Zhizhao Liu, Donghe Zhang, Cheng‐Lung Wu, Jian Yang

“…Simulation results show that the economic losses associated with these polar flights can range from €0.03 million to €1.32 million, depending on both the duration of communication failures and the adopted air traffic management strategies. We believe that this study can shed light on the effects of space weather‐induced communication failures on polar flight operations and provide guidance for mitigating these effects in the aviation industry.…”
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Prospective evaluation through questionnaires of the emotional status of cancer patients in the waiting rooms of a department of oncology by Roberta Resega, Sheila Piva, Annalisa Bramati, Christian Lurati, Nicla La Verde, Marco Riva, Marina Chiara Garassino, Anna Moretti, Claudio Mencacci, Valter Torri, Gabriella Farina, Maria Chiara Dazzani

“…Patients presented anxiety and fear independently from the setting of care. We believe that each oncologist should be aware of the degrees of fear and sadness that patients experience during an oncological examination because these emotions can have an impact on communication and understanding.…”
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The Significant Effects of Threshold Selection for Advancing Nitrogen Use Efficiency in Whole Genome of Bread Wheat by Mohammad Bahman Sadeqi, Agim Ballvora, Said Dadshani, Md. Nurealam Siddiqui, Mohammad Kamruzzaman, Ahossi Patrice Koua, Jens Léon

“…We emphasize that empirical null distributions based on permutation test can be useful when the assumption of linear or parametric FDR approaches do not hold. Nevertheless, we believe that it is necessary to utilize modern statistical optimization techniques to evaluate the stability and performance of our results and to select significant FDR threshold. …”
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Merging polymers of intrinsic microporosity and porous carbon-based zinc oxide composites in novel mixed matrix membranes for efficient gas separation by Muning Chen, Jiemei Zhou, Jing Ma, Weigang Zheng, Guanying Dong, Xin Li, Zhihong Tian, Yatao Zhang, Jing Wang, Yong Wang

“…Additionally, molecular simulation results further corroborate that the augmented membrane gas selectivity is attributed to the superior CO2 affinity of C@ZnO. In summary, we believe that this work not only expands the application of MMMs for gas separation but also heralds a paradigm shift in the application of porous carbon materials.…”
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A Reinforcement-Learning Based Approach for Designing High-Voltage SiC MOSFET Guard Rings by Tejender Singh Rawat, Chia-Lung Hung, Yi-Kai Hsiao, Wei-Chen Yu, Surya Elangovan, Wei-Ting Lin, Yi-Rong Lin, Kai-Lin Yang, Nien-Yi Jan, Yung-Hui Li, Hao-Chung Kuo

“…This work is more accurate, practical, and result-oriented, and we believe that this can significantly minimize the computational cost as compared to the standalone TCAD simulations. …”
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Using ChatGPT for medical education: the technical perspective by Kwan Yin Chan, Tsz Hon Yuen, Michael Co

“…Conclusion Virtual bedside teaching with chatbots has revolutionized conventional bedside teaching by its advantages and allowing international collaborations. We believe that the training of history taking skills by chatbot will be a feasible supplementary teaching tool to conventional bedside teaching.…”
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