Molecular quantification and differentiation of Candida species in biological specimens of patients with liver cirrhosis. by Sandra Krohn, Katharina Zeller, Stephan Böhm, Antonis Chatzinotas, Hauke Harms, Jan Hartmann, Anett Heidtmann, Adam Herber, Thorsten Kaiser, Maud Treuheit, Albrecht Hoffmeister, Thomas Berg, Cornelius Engelmann

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A novel smart surveillance approach to strengthen health facility-based disease surveillance in Tanzania by Ms Happy Mkali, MD Alix Miauton, Dr. Alexandra Kulinkina, Ms. Magreth Joram, MD Caroline Enos, Mr. Lazar Pavicevic, Mr. Vincent Faivre, Dr. MD Rainer Tan, Dr. Sabine Renggli, Ms. Theopista Lotto, Mr. Sinamgoda Ngailla, MD Godfrey Kavishe, Mr. Ibrahim Mtebene, Mr. Peter Agrea, MD Lameck Luwanda, Mr Geofrey Ashery, MD Chacha Mangu, Dr. MD Nyanda Ntinginya, Prof. Dr. Honorati Masanja, Prof. Dr. MD Isabella Eckerle, Prof. Dr. MD Valerie D'Acremont

“…Lack of timeliness, inadequate data management and analysis, and weak laboratory capabilities result in low capacity for early detection and rapid response to disease outbreaks.The objective was to evaluate a novel surveillance strategy, based on a clinical e-tool for patient management implemented in primary care health facilities in Tanzania, enhanced by sentinel sites and mobile clinically targeted microbiological investigations. …”
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Imaging Method Based on Time Reversal Channel Compensation by Bing Li, Bin-Jie Hu

“…Results show that the performance of the proposed method is superior to that of conventional TRI algorithm even under few echo signals.…”
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Advancing pancreatic cancer management: the role of artificial intelligence in diagnosis and therapy by Dilber Uzun Ozsahin, Natacha Usanase, Ilker Ozsahin

“…Abstract Background Pancreatic cancer is the deadliest form of cancer with a low survival rate due to its late diagnosis. Hence, early detection and swift intervention are very crucial for its management. …”
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Research on the Integration of Sensing and Communication Based on Fractional-Order Fourier Transform by Mingyan Qi, Yuelong Su, Zhaoyi Wang, Kun Lu

“…Second, the three search algorithms and the performance of the integrated sensing and communication waveform are simulated. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

“…The existing single-pulse search algorithms for fast radio bursts (FRBs) do not adequately consider the frequency bandpass pattern of the pulse, rendering them incomplete for the relatively narrow-spectrum detection of pulses. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The machine learning algorithms can handle high-dimensional nonlinear data with complex interactions, outperform traditional statistical models in ecology, and have been effectively used for plant classification, phenology detection, crop growth detection, and yield prediction. …”
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Real-Time Road Crack Mapping Using an Optimized Convolutional Neural Network by M-Mahdi Naddaf-Sh, SeyedSaeid Hosseini, Jing Zhang, Nicholas A. Brake, Hassan Zargarzadeh

“…Typically, CNN-based schemes require a relatively large processing power to detect desired objects in images in real time. However, the portability objective of this work requires to utilize low-weight processing units. …”
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The application of compressed sensing on tumor mutation burden calculation from overlapped pooling sequencing data by Yue Cui, Yi Qiao, Rongming An, Xuan Pan, Jing Tu

“…The OMP algorithm has been proved to be suitable for scenarios where the original matrix was sparse but it showed low overall performance. …”
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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…This method is particularly useful for identifying low seismic amplitude anomalies, which are often challenging to detect with conventional seismic analysis. (1) This study developed a workflow to detect low seismic amplitude gas fields in near-field exploration. (2) It uses a machine learning algorithm to classify and explore low-seismic-amplitude gas sand reservoirs. (3) This approach helps estimate the likelihood of success and reduces the risk associated with hydrocarbon exploration wells.…”
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Towards Fast Implementation of Complex RNS Components on FPGAs by Sabbagh Molahosseini Amir, Alsadat Emrani Azadeh

“…The efficient hardware implementation of RNS particularly on field program-mable gate array (FPGA) is very important due to the use of FPGAs in some modern computing systems to achieve flexibility and low time-to-market. The residue number system (RNS) with its inherent parallelism can also be used to enhance the performance of implementation of comput-ing algorithms on FPGAs. …”
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Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review by Jie Yang, Xue Bai, Mingji Wei, Hui Jiang, Leijun Xu

“…In this paper, we systematically review the principles of terahertz spectroscopy and its key applications in food testing, focusing on its research progress in pesticide residues, additives, biotoxins, and mold, adulteration identification, variety identification, and nutrient content detection. By integrating spectral data preprocessing, reconstruction algorithms, and machine learning model optimization strategies, this paper further analyzes the advantages and challenges of this technology in enhancing detection accuracy and efficiency. …”
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A Novel Joint Denoising Strategy for Coherent Doppler Wind Lidar Signals by Yuefeng Zhao, Wenkai Song, Nannan Hu, Xue Zhou, Jiankang Luo, Jinrun Huang, Qianqian Tao

“…This paper proposes a novel joint denoising algorithm based on SVD-ICEEMDAN-SCC-MF to remove noises in CDWL detection. …”
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cONcat: Computational reconstruction of concatenated fragments from long Oxford Nanopore reads. by Alexander J Petri, Mai Thi-Huyen Nguyen, Anjali Rajwar, Erik Benson, Kristoffer Sahlin

“…We introduce cONcat, an algorithm to identify the makeup of concatenated DNA fragments in a set of ONT sequencing reads from a pool of known fragments. cONcat uses an edit distance-based recursive covering algorithm for finding the best possible matchings between the fragments and the reads. …”
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Task-Driven Real-World Super-Resolution of Document Scans by Maciej Zyrek, Tomasz Tarasiewicz, Jakub Sadel, Aleksandra Krzywon, Michal Kawulok

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MangiSpectra: A Multivariate Phenological Analysis Framework Leveraging UAV Imagery and LSTM for Tree Health and Yield Estimation in Mango Orchards by Muhammad Munir Afsar, Muhammad Shahid Iqbal, Asim Dilawar Bakhshi, Ejaz Hussain, Javed Iqbal

“…In the second stage, associated data such as the trees’ age, variety, canopy volume, height, and weather data were combined with predicted health classes for yield estimation through a decision tree algorithm. Three mango-specific indices, namely the Mango Tree Yellowness Index (MTYI), Weighted Yellowness Index (WYI), and Normalized Automatic Flowering Detection Index (NAFDI), were developed to measure the degree of canopy covered by flowers to enhance the robustness of the framework. …”
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Exploring the role of ELOVLs family in lung adenocarcinoma based on bioinformatic analysis and experimental validation by Zihan Wang, Wenjing Cui, Long Liang, Jingge Qu, Yuqiang Pei, Danyang Li, Ying Luo, Yue Zhang, Yifan Qiu, Yongchang Sun

“…Methods Gene expression profiling interactive analysis (GEPIA), human protein atlas (HPA), cBioPortal, Kaplan–Meier (KM) plotter, single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm and SubMap algorithms were utilized to analyze the role of ELOVLs in the LUAD. …”
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Eco-friendly QbD-optimized chromatographic method for simultaneous analysis of metronidazole and nicotinamide with applications in permeation, stability, and sustainability evaluat... by Kanaka Parvathi Kannaiah, Mohamed A. M. Ali, Hemanth Kumar Chanduluru, Anis Ahmad Chaudhary, Mahmoud El-Maghrabey, Reem H. Obaydo, Galal Magdy, Mohamed A. El Hamd

“…A comparative assessment against 21 existing LC and UV methods revealed that the developed approach achieved the highest greenness score (0.75), required the least solvent volume (1.5 mL ethanol), and enabled sensitive detection of low-dose MTZ alongside high-dose NCT in semisolid gel matrices. …”
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Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Emmanuel Ahishakiye, Fredrick Kanobe

“…Methods In this study, we propose two kernel-based algorithms for automated detection of cervical cancer. …”
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Current status and outlook of UWB radar personnel localization for mine rescue by ZHENG Xuezhao, MA Jiawen, HUANG Yuan, LI Qiang, REN Jing, LIU Yu

“…Key challenges in mine rescue scenarios are identified: ① significant localization errors and limited effective detection range in thick, heterogeneous, and discontinuous media; ② weakened radar echoes and severe clutter interference under Non-Line-of-Sight (NLOS) conditions, leading to low-precision micro-motion target detection and large real-time errors for dynamic targets; ③ signal interference and occlusion effects among multiple targets degrading localization accuracy. …”
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