Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging by Philipp Nolte, Christian Dullin, Angelika Svetlove, Marcel Brettmacher, Christoph Rußmann, Arndt F. Schilling, Frauke Alves, Bernd Stock

“…Despite high specificity, encoded in the stained 2D section of the whole tissue, the structural information, especially 3D information, is limited. …”
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The Application of the Gestalt Theory in Music Psychotherapy for Piano by Fukun Cai

“…The paper focuses on how to apply the “whole and part” and “epiphany” perspectives of the Gestalt learning theory to singing and music appreciation lessons. …”
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A novel hybrid vision UNet architecture for brain tumor segmentation and classification by M. Renugadevi, K. Narasimhan, K. Ramkumar, N. Raju

“…In HVU-E, same features fed as input to the classification layer and machine learning algorithms such as SVM, RF, DT, Logistic Regression and AdaBoost. …”
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Instance-based generalization for human judgments about uncertainty. by Philipp Schustek, Rubén Moreno-Bote

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Attentional scope is reduced by Internet use: A behavior and ERP study. by Ming Peng, Xianke Chen, Qingbai Zhao, Zongkui Zhou

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Online Format of Extracurricular Education: a New Reality of Project-Based Education for Senior High School Students by N. G. Davydova, A. N. Kosarikov, D. M. Kirillov, A. V. Igumnov

“…In general, the system of extracurricular education for schoolchildren, combined with a competitive component, turned out to be capable of prompt reformatting while maintaining the level and quality of events in the face of new challenges. …”
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WGCNA-ML-MR integration: uncovering immune-related genes in prostate cancer by Jing Lv, Jing Lv, Yuhua Zhou, Yuhua Zhou, Shengkai Jin, Shengkai Jin, Chaowei Fu, Chaowei Fu, Yang Shen, Yang Shen, Bo Liu, Bo Liu, Menglu Li, Yuwei Zhang, Yuwei Zhang, Ninghan Feng, Ninghan Feng, Ninghan Feng

“…Furthermore, a machine learning algorithm was used to screen for core genes and construct a diagnostic model, which was then validated in an external validation dataset. …”
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Impact of a massive earthquake on adherence to antiretroviral therapy, mental health, and treatment failure among people living with HIV in Nepal. by Bharat Singh Negi, Sunil Kumar Joshi, Minato Nakazawa, Tomohiro Kotaki, Anup Bastola, Masanori Kameoka

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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

“…Simulations were conducted on a single 250 W monocrystalline SunPower SPR-X20-250-BLK PV module, with irradiance levels ranging from 200 to 1000 W/m² in 200 W/m² increments, while maintaining a fixed temperature of 25 °C in the first case, reflecting the standard test conditions (STC) temperature operation conditions. …”
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Synergistic Effects of Drivers on Spatiotemporal Changes in Carbon and Water Use Efficiency in Irrigated Cropland Ecosystems by Guangchao Li, Zhaoqin Yi, Tiantian Qian, Yuhan Chang, Hanjing Gao, Fei Yu, Liqin Han, Yayan Lu, Kangjia Zuo

“…Higher multi-year average values of CUE and WUE_NPP were observed in the western region, while the WUE_GPP was more prominent in the south-central region. …”
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The impact of Inter-observation variation on radiomic features of pulmonary nodules by Wenchao Zhu, Wenchao Zhu, Fangyi Xu, Fangyi Xu, Kaihua Lou, Kaihua Lou, Xia Qiu, Xia Qiu, Dingping Huang, Dingping Huang, Shaoyu Huang, Shaoyu Huang, Dong Xie, Dong Xie, Hongjie Hu, Hongjie Hu

“…ObjectiveIn this study, we aimed to comprehensively and systematically analyze the radiomic features of pulmonary nodules and explore the influence of inter-observation variation (IOV) in segmentation regions of interest (ROI) on radiomic features, providing reference information for pulmonary nodule radiomics research.MethodSix clinicians with varying experience and expertise manually outlined ROIs for 232 pulmonary nodules, while an artificial intelligence (AI) algorithm was trained for automated segmentation. …”
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Investigation of comparative machine learning models in effluent dephenolization process onto H3PO4-anchored corn cob by Chijioke Elijah Onu, Joseph Tagbo Nwabanne, Ositadimma Chamberline Iheanocho, Paschal Enyinnaya Ohale, Chiamaka Peace Onu, Marcel Ikenna Ejimofor, Suraj Kumar Bhagat, Christian O. Asadu, Christopher C. Obi, Chidiogo Ezekwem

“…The point of zero charge was 5.65 while the regeneration with 0.2M NaOH showed best adsorbent reusable capacity. …”
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Sistem Kontrol Swarm untuk Flocking Wahana NR-Awak Quadrotor dengan Optimasi Algoritma Genetik by Endra Joelianto, Winarendra Satya Rajasa, Agus Samsi

“…The first controller uses a proportional derivative controller (PD), while the second controller uses the linear quadratic regulator (LQR). …”
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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

“…Insufficient nitrogen supply can severely affect crop yield and quality, while excessive use of nitrogen fertilizers can lead to significant environmental issues such as water eutrophication and groundwater pollution. …”
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Examination of the perceived agility and balance during a reactive agility task. by Leia Stirling, Chika Eke, Stephen M Cain

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Forest cover restoration analysis using remote sensing and machine learning in central Malawi by Jabulani Nyengere, Precious Masuku, Sylvester Chikabvumbwa, Weston Mwase, Msaiwale Kathewera, Allena Laura Njala, Wilson Tchongwe, Isaac Tchuwa, Tiwonge I Mzumara, Chikondi Chisenga, Wilfred Kadewa, Emmanuel Chinkaka, Harineck Tholo

“…Utilizing a Support Vector Machine (SVM) classification algorithm applied to time-series Landsat and high-resolution imagery (2003–2023), we quantify land cover changes, while Normalized Difference Vegetation Index (NDVI) trends serve as indicators of ecological recovery. …”
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The Fusion of Multi-Focus Images Based on the Complex Shearlet Features-Motivated Generative Adversarial Network by Lei Wang, ZhouQi Liu, Jin Huang, Cong Liu, LongBo Zhang, ChunXiang Liu

“…With of help of the generative adversarial network, the whole procedure of multi-focus fusion is modeled to be the process of adversarial learning. …”
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Risk-adaptive access control model for big data in healthcare by Zhen HUI, Hao LI, Min ZHANG, Deng-guo FENG

“…While dealing with the big data in healthcare,it was difficult for a policy maker to foresee what information a doctor may need,even to make an accurate access control policy.To deal with it,a risk-based access control model that regulates doctors’ access rights adaptively was proposed to protect patient privacy.This model analyzed the history of access,applies the EM algorithm and the information entropy technique to quantify the risk of privacy violation.Using the quantified risk,the model can detect and control the over-accessing and exceptional accessing of patients’ data.Experimental results show that this model is effective and more accurate than other models.…”
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Risk-adaptive access control model for big data in healthcare by Zhen HUI, Hao LI, Min ZHANG, Deng-guo FENG

“…While dealing with the big data in healthcare,it was difficult for a policy maker to foresee what information a doctor may need,even to make an accurate access control policy.To deal with it,a risk-based access control model that regulates doctors’ access rights adaptively was proposed to protect patient privacy.This model analyzed the history of access,applies the EM algorithm and the information entropy technique to quantify the risk of privacy violation.Using the quantified risk,the model can detect and control the over-accessing and exceptional accessing of patients’ data.Experimental results show that this model is effective and more accurate than other models.…”
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Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens by Paul English, Muir J. Morrison, Blaine Mathison, Elizabeth Enrico, Ryan Shean, Brendan O'Fallon, Deven Rupp, Katie Knight, Alexandra Rangel, Jeffrey Gilivary, Amanda Vance, Haleina Hatch, Leo Lin, David P. Ng, Salika M. Shakir

“…Following acid-fast staining, whole slide images (WSI) were digitized, and AFB organisms were manually annotated. …”
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