How can data analytics and employee upskilling foster digital maturity and sustainable practices in SMES? by Levente Peter Balint, Adam Pentek, Zsofia Nabradi, Szilvia Botos

“…Visualized through Tableau, the data reveal notable disparities: in 2023, only 14.5% of small and 33.8% of medium-sized enterprises with high digital maturity performed data analytics, compared to 59.4% of large enterprises. …”
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Factors Affecting Ray Trace LASIK Data Acquisition in Clinical Practice: Options for Addressing Accommodation by Thananjeyan AL, Bala C

“…In 23 eyes treated using cycloplegic wavefront data, 96% achieved UDVA of 20/20 or greater.Conclusion: Use of the InnovEyes Sightmap system for ray trace LASIK is feasible in a clinical environment but demonstrates an operator learning curve. …”
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Large household reduces dementia mortality: A cross-sectional data analysis of 183 populations. by Wenpeng You, Maciej Henneberg

“…Scatter plots were produced to explore and visualize the correlations between household size and dementia mortality rates. …”
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Occupation, displacement, and violence in the West Bank: A retrospective analysis of data from 2014-2024. by Sarah Aly, Fatima Mossolem, Ayeh Khalil, Tushara Surapaneni, Abd Al-Rahman Traboulsi, Waleed Aldadah, Eleanor Reid, Shakoor Hajat

“…This cross-sectional observational study analyses casualties and displacement data in the West Bank and Israel from May 1, 2014, to June 30, 2024. …”
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Mapping urban functional zones with remote sensing and geospatial big data: a systematic review by Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du

“…Spatial analysis units encompass regular grids, road blocks, image segmentation units, traffic analysis zones, and buildings. Data features consist of the remote sensing image-derived features (such as visual, spatial pattern, and abstract features) and the geospatial big data-derived features (such as spatial, attribute, and temporal features). …”
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Hybrid Deep Learning for Survival Prediction in Brain Metastases Using Multimodal MRI and Clinical Data by Cristian Constantin Volovăț, Călin Gheorghe Buzea, Diana-Ioana Boboc, Mădălina-Raluca Ostafe, Maricel Agop, Lăcrămioara Ochiuz, Ștefan Lucian Burlea, Dragoș Ioan Rusu, Laurențiu Bujor, Dragoș Teodor Iancu, Simona Ruxandra Volovăț

“…Two convolutional neural network backbones—ResNet-50 and EfficientNet-B0—were fused with fully connected layers processing tabular data. Models were trained using mean squared error loss and evaluated through stratified cross-validation and an independent held-out test set. …”
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Optimized Design of Cultural Space in Wuhan Metro: Analysis and Reflection Based on Multi-Source Data by Zhengcong Wei, Yangxue Hu, Yile Chen, Tianjia Wang

“…The main findings are as follows: (1) The metro cultural space is an important window for the public to perceive the city culture, and the public in general shows positive perception of emotions: among the 16,316 data samples, 47.7% are positive comments, 17.8% are neutral comments, and 34.5% are negative comments. (2) Based on the frequency of content in the sample data for metro station exit and entrance space, metro train space, metro concourse and platform space, they are ranked as weak cultural spaces (18%), medium cultural spaces (33%), and strong cultural spaces (49%) in terms of the public’s perception of urban culture. (3) At present, there are certain deficiencies in Wuhan metro cultural space: the circulation paths in concourses and platforms are overly dominant, leaving little space for rest or interaction; the cultural symbols of metro train space are fragmented; the way of articulation between cultural and functional space in the metro station exit and entrance space is weak, and the space is single in form. (4) Wuhan metro cultural space needs to be based on locality landscape expression, functional zoning reorganization, innovative scene creation to optimize the visual symbol system and behavioral symbol system in the space, to establish a good image of the space, and to strengthen the public’s cultural identity and emotional resonance.…”
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Comparison of cone beam-computed and micro-computed tomography data for measuring facial canal dehiscence by Mert Ocak, Ferhat Geneci, Bilge İpek Torun, Mehmet Fatih Şentürk, Emine Şebnem Kurşun Çakmak

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Dust detection in western and southwestern Iran based on DAI index algorithm and Modis spectral data by Azar Faryabi, Hamid Reza Matinfar, Seyyed Kazem Alavi Panah, Ali Akbar Norouzi

“…Using short-range waves, the visual retention of fine-grained mass data, especially in desert areas, was carefully monitored. …”
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Mapping Gridded GDP Distribution of China Based on Remote Sensing Data and Machine Learning Methods by Saimiao Liu, Wenliang Liu, Yi Zhou, Shixin Wang, Futao Wang, Zhenqing Wang

“…The gridded spatial distribution data of Gross Domestic Product (GDP) has a wide range of application values in many fields, such as regional economic analysis, urban planning, sustainable utilization of resources, and disaster risk assessment. …”
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Deep learning-based classification of hemiplegia and diplegia in cerebral palsy using postural control analysis by Javiera T. Arias Valdivia, Valeska Gatica Rojas, César A. Astudillo

“…This study proposes a method of classification utilizing Recurrent Neural Networks (RNNs) to analyze time series force data obtained via an AMTI platform. The proposed research focuses on optimizing these models through advanced techniques such as automatic parameter optimization and data augmentation, improving the accuracy and reliability in classifying these conditions. …”
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Psychological correlates of COVID-19 vaccine attitudes among medical professionals: An exploratory data analysis by Aldo SITIBONDO, Aanuoluwapo AFOLABI, Jamel HAJJI, Abdulmohsen Mohammed Abdullah ALKHULAYFI, Izaddin Ahmad AZIZ, Zane Asher GREEN, Francesca BRUNO, Martina BARBERA, Murat YLDIRIM

“…Descriptive statistics and Pearson correlation coefficients were used to analyze the data. Group comparisons of emotional responses were visualized using bar plots. …”
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Conservative Treatment of Sesamoiditis: A Systematic Literature Review with Individual-Level Pooled Data Analysis by Carlo Biz, Maria Chiara Maccarone, Valentina Bonso, Elisa Belluzzi, Stefano Masiero, Nicola Luigi Bragazzi, Pietro Ruggieri

“…Eligible studies included case reports and case series involving patients aged ≥16 years who were conservatively treated for clinically and/or radiologically diagnosed sesamoiditis. Data on patient demographics, diagnosis, type and duration of treatment, pain- (Visual Analogue Scale (VAS) and Numeric Rating Scale (NRS)) and function-related (Foot and Ankle Ability Measure (FAAM) and Foot and Ankle Outcome Score (FAOS)) outcomes, and return to activity were extracted. …”
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TransFusion: Generating long, high fidelity time series using diffusion models with transformers by Md Fahim Sikder, Resmi Ramachandranpillai, Fredrik Heintz

“…Also, we introduce two evaluation metrics to evaluate the quality of the synthetic data as well as its predictive characteristics. TransFusion is evaluated using a diverse set of visual and empirical metrics, consistently outperforming the previous state-of-the-art by a significant margin.…”
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Challenges and technical development of storage systems in the era of large language models by FENG Yangyang, WANG Qing, SHU Jiwu

“…Large language models have shown exceptional performance in complex tasks, such as text and visual processing, drawing significant attention from industry and academia. …”
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A Fine Agricultural Flood Segmentation Model for HJ-2E S-Band SAR Data by Mingyang Song, Lu Xu, Nanhuanuowa Zhu, Zihuan Guo, Haoxuan Duan, Jiahua Teng, Xia Lei, Lijun Zuo

“…Subsequently, a novel deep learning model, S-band flood segmentation U-shaped network (SFSUNet), was designed for flood segmentation using S-band SAR data. SFSUNet adopts the Hiera network from the visual foundation model SAM2 as its backbone and integrates the adapter module to enable efficient cross-domain knowledge transfer from natural images to S-band SAR data. …”
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LSTM-IOT (LSTM-based IoT) untuk Mengatasi Kehilangan Data Akibat Kegagalan Koneksi by Yosia Adi Susetyo, Hanna Arini Parhusip, Suryasatriya Trihandaru, Bambang Susanto

“…The implementation of LSTM-IOT in real-world scenarios is carried out on a local web container that allows real-time access to temperature and humidity data in various locations. This Streamlit-based webpage displays data visualizations, LSTM performance, and prediction results. …”
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Dataguzzler-Python and SpatialNDE2: Crucial Software Infrastructure for Reconfigurable NDE Data Acquisition With Spatial Context by Tyler J. Lesthaeghe, Stephen D. Holland

“…The tools make up a framework that provides the following: multiplexed automatic and manual control of instrumentation, a versioned database to store the acquired data, parallel acquisition and live high performance/GPU computation, the ability to acquire and store data in geometric context, and the ability to visualize and interact with the acquired data. …”
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FATIGUE LIFE ANALYSIS OF CYLINDRICAL HELICAL COMPRESSION SPRING BASED ON WEIBULL DISTRIBUTION by FU Tao, WANG DeCheng, CHENG Peng

“…A new process of spring fatigue data processing is proposed. We developed a Weibull distribution parameter determination program with visual interface using C # and MATLAB mixed programming method based on the traditional Weibull reliability analysis and the graph estimation method based SVM. …”
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A First Approach to the Marine Heterobranchia (Mollusca: Gastropoda) Fauna of Marettimo, Egadi Islands, MPA (Western Sicily, Mediterranean Sea) by Andrea Lombardo, Giuliana Marletta

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