Gradient Descent-Based Parameter Estimation for Ultra Short Baseline by Yongcheol Kim, Haklim Ko, Hojun Lee

“…Still, the limited sampling rate makes it difficult to estimate an accurate pseudorange, resulting in low positioning performance. The proposed method calculates the number of wavelengths of the received chirp signal and detects the initial phase of the signal to estimate a more precise pseudorange than existing methods. …”
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The hidden burden of anemia in elderly surgical patients: a prospective study on incidence and contributing factors by Habtie Bantider Wubet, Negesse Zurbachew Gobezie, Getachew Mekete Diress, Kumlachew Geta Belete, Kaletsidk Desalegn Mossie, Begizew Yimenu Mekuriaw, Abebe Dires Fenta, Alemie Fentie Mebratie, Kidist Hunegn Setargew, Temesgen Birlie Asmare

“…Conclusion and recommendation The incidence of anemia in elderly surgical patients at Debre Tabor Comprehensive Specialized Hospital is high and associated with several modifiable risk factors. Early detection and targeted preoperative optimization strategies are crucial for improving surgical outcomes in this population.…”
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Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning by Wan-Peng Sun, Ji-Guo Zhang, Yichao Li, Wan-Ting Hou, Fu-Wen Zhang, Jing-Fei Zhang, Xin Zhang

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Surface Clay and Mineral Exploration Using Hyperspectral Imaging: Advanced Techniques for Geospatial Analysis by S. Raut, N. Andure, A. Kadam, A. Dongare, A. Fulari, G. M. Sayyad, S. B. Sayyad, S. K. Shaikh, S. Sawant

“…HSI, leveraging data from the Hyperion sensor, offers a fine-resolution remote sensing method capable of discriminating minerals through their unique spectral reflectance profiles. …”
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A machine learning model revealed that exosome small RNAs may participate in the development of breast cancer through the chemokine signaling pathway by Jun-luan Mo, Xi Li, Lin Lei, Ji Peng, Xiong-shun Liang, Hong-hao Zhou, Zhao-qian Liu, Wen-xu Hong, Ji-ye Yin

“…We used machine learning algorithms to analyze small RNAs with significant differences between the two groups, fit the model through training sets, and optimize the model through testing sets. We recruited new research subjects as validation samples and used PCR-based quantitative detection to validate the key small RNAs screened by the machine learning model. …”
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Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening by Viola Angyal, Ádám Bertalan, Péter Domján, Elek Dinya

“…Females valued guidance on screening schedules and early detection, while males highlighted the usefulness of information regarding HPV vaccination and its role in preventing HPV-related cancers. …”
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Risk factors and clinical prediction models for low-level viremia in people living with HIV receiving antiretroviral therapy: an 11-year retrospective study by Wenhui Zhang, Wenhui Zhang, Jinchuan Shi, Ying Wang, Er Li, Dingyan Yan, Dingyan Yan, Zhongdong Zhang, Mingli Zhu, Jianhua Yu, Yi Wang, Yi Wang

“…ObjectiveThis study explores the risk factors for low-level viremia (LLV) occurrence after ART and develops a risk prediction model.MethodClinical data and laboratory indicators of people living with HIV (PLWH) at Hangzhou Xixi Hospital from 5 April 2011 to 29 December 2022 were collected. …”
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Determination of Major Elements in Small-Weight Soil and Sediment Samples by X-Ray Fluorescence Spectrometry with Pressed-Powder Pellets by Hongkun ZHAO, Yaxuan LIU, Shengming MA, Yanfei ZHANG, Pengpeng ZHANG, Qiang LI, Zhenqing LI, Qishen CHEN, Yong LI, Xue GU, Hongqiang CHEN

“…The detection limit of the 0.1g sample weight analysis method was between 14μ/g and 0.35%, and the precisioniitalic>=12) was less than 3.9%. …”
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Years after the cure: a rare case of delayed onset of oesophageal stricture post-radiotherapy for lung cancer by Sasa Shakya, Abhishek Tamrakar, Gurjit Singh

“…Conclusion: This case highlights the importance of long-term monitoring for patients who have received thoracic radiotherapy, because they are at risk for developing oesophageal strictures and other complications.Early recognition of these complications through appropriate investigations can help guide treatment decisions, improve quality of life and ensure optimal outcomes for patients.Regular follow-up care is essential for detecting any late complications of treatment, particularly when the patient presents with symptoms suggestive of oesophageal involvement.All patients should be counselled regarding long-term risk of oesophageal stricture risk post radiotherapy.…”
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Channel-Wise Characterization of High Frequency Oscillations for Automated Identification of the Seizure Onset Zone by Dakun Lai, Xinyue Zhang, Wenjing Chen, Heng Zhang, Tongzhou Kang, Han Yuan, Lei Ding

“…A total of 17 channel-wise features including 6 rate-based, 6 duration-based, 3 amplitude-based, and 2 power-based features of HFOs were extracted from each 10-min segment, which including ripples (Rs, 80-250 Hz) and fast ripples (FRs, 250-500Hz) were detected automatically using validated detectors. Each channel-wise feature was ranked by using the Student&#x2019;s <italic>t-test</italic> method and the most distinctive features were selected to explore the characteristics of HFOs in each channel. …”
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Analysis of the sensitization activity of Moringa oleifera leaves protein by Juan Lu, Juan Lu, Xiaoxue Liu, Xiaoxue Liu, Wenjie Li, Wenjie Li, Chuyu Xi, Chuyu Xi, Dan Feng, Dan Feng, Shuang Song, Shuang Song

“…In this study, the extraction process of Moringa oleifera leaves protein was optimized based on a single factor experiment. The hemagglutination-related properties of Moringa oleifera leaves protein, such as (thermal, acid–base) stability, sugar binding specificity, ion binding characteristics, and hemolytic activity, were detected. …”
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Toxic risk assessment of selected metals in infant formula milk commercially available in Lebanon: A novel approach based on feeding parameters versus toxicity by Pierre J. Obeid, Bilal El Khoury, John Hanna El-Nakat

“…Infant formula milk (IFM) is increasingly utilized as a substitute for natural breastfeeding despite the fact that breast milk has been always recognized as the optimal nourishment method. While IFMs are fortified with essential nutrients that are crucial for proper growth, they can also harbor non-essential toxic metal contaminants from various sources during the production process. …”
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Exploring the role of hyperreflective walls as a biomarker for the management of cystoid macular edema by Zhang-Rong Yang, Chang Li, Dong-Jun Xing, Gao-Xu Wei, Ce-Ce Zhao, Miao Zhou, Xiao-Han Ma, Yi Zhao, Shu Yang, Rong-Guo Yu, Zhi-Qing Li

“…This study suggests that early detection of HRW and optimization of treatment strategies may improve patient prognosis.…”
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CVT-HNet: a fusion model for recognizing perianal fistulizing Crohn’s disease based on CNN and ViT by Lanlan Li, Ziyue Wang, Chongyang Wang, Tao Chen, Ke Deng, Hong’an Wei, Dabiao Wang, Juan Li, Heng Zhang

“…In addition, the MobileNetV2 with Coordinate Attention mechanism and encoder modules are optimized to improve the precision of detecting anal fistulas. …”
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Adversarial example defense algorithm for MNIST based on image reconstruction by Zhongyuan QIN, Zhaoxiang HE, Tao LI, Liquan CHEN

“…With the popularization of deep learning, more and more attention has been paid to its security issues.The adversarial sample is to add a small disturbance to the original image, which can cause the deep learning model to misclassify the image, which seriously affects the performance of deep learning technology.To address this challenge, the attack form and harm of the existing adversarial samples were analyzed.An adversarial examples defense method based on image reconstruction was proposed to effectively detect adversarial examples.The defense method used MNIST as the test data set.The core idea was image reconstruction, including central variance minimization and image quilting optimization.The central variance minimization was only processed for the central area of the image.The image quilting optimization incorporated the overlapping area into the patch block selection.Considered and took half the size of the patch as the overlap area.Using FGSM, BIM, DeepFool and C＆amp;W attack methods to generate adversarial samples to test the defense performance of the two methods, and compare with the existing three image reconstruction defense methods (cropping and scaling, bit depth compression and JPEG compression).The experimental results show that the central variance minimization and image quilting optimization algorithms proposed have a satisfied defense effect against the attacks of existing common adversarial samples.Image quilting optimization achieves over 75% classification accuracy for samples generated by the four attack algorithms, and the defense effect of minimizing central variance is around 70%.The three image reconstruction algorithms used for comparison have unstable defense effects on different attack algorithms, and the overall classification accuracy rate is less than 60%.The central variance minimization and image quilting optimization proposed achieve the purpose of effectively defending against adversarial samples.The experiments illustrate the defense effect of the proposed defense algorithm in different adversarial sample attack algorithms.The comparison between the reconstruction algorithm and the algorithm shows that the proposed scheme has good defense performance.…”
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Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors by Rouhollah Khakpour, Ahmad Ebrahimi, Seyed Mohammad Seyed Hosseini

“…Moreover, the gathered data from defect detection can be used in two ways: to prevent defect occurrence in the future (detect-prevent) and to design algorithms for predicting when a defect may occur in the future, hence, to prevent defects before they arise (predict-prevent). …”
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Exploring Attention in Depth: Event-Related and Steady-State Visual Evoked Potentials During Attentional Shifts Between Depth Planes in a Novel Stimulation Setup by Jonas Jänig, Norman Forschack, Christopher Gundlach, Matthias M. Müller

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Determination of malachite green in sediment by ultra performance liquid chromatography-mass spectrometry by Mei Guangming, Guo Yuanming, Zhang Xiaojun, Yan Zhongyong, Li Peipei, You Juju, Ding Yueping

“…In order to guarantee the safety of aquaculture, a sensitive and selective analytical method is needed for the determination of MG in aquaculture sediment. …”
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Stopping anticoagulation for isolated or incidental pulmonary embolism: the STOPAPE RCT protocol by Daniel Lasserson, Pooja Gaddu, Samir Mehta, Agnieszka Ignatowicz, Sheila Greenfield, Clare Prince, Carole Cummins, Graham Robinson, Jonathan Rodrigues, Simon Noble, Sue Jowett, Mark Toshner, Michael Newnham, Alice Turner

“…Subsegmental pulmonary embolism is not often detectable with older nuclear medicine-based diagnostic imaging for ventilation/perfusion mismatch. …”
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Protocol for genetic dissection of class switch recombination using genome-editing tools by Pengfei Dai, Tingting Liu, Dingpeng Yang, Yifeng Luo, Liu Daisy Liu, Xia Xie, Yafang Shang, Xiaojing Liu, Fei-Long Meng

“…Here, we present a protocol for inducing class switch recombination using base editors or CRISPR-Cas9. We provide optimized guide RNA (gRNA) sequences and describe steps for cytokine activation, electroporation, surface immunoglobulin detection, and data analysis. …”
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