Development of the E-Portal for the Design of Freeform Varifocal Lenses Using Shiny/R Programming Combined with Additive Manufacturing by Negin Dianat, Shangkuan Liu, Kai Cheng, Kevin Lu

“…The user interface (UI) of the e-portal application creates an environment for customers to input their eye prescription data and geometric parameters to visualise the result of the designed freeform varifocal lens surface, which includes interactive 2D contour plots and 3D-rendered diagrams for both left and right eyes simultaneously. …”
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Integrated sustainability assessment using BIM by Maria Teresa Henriques Alves FERREIRA, António AGUIAR COSTA, José Dinis SILVESTRE

“…This involves defining adequate Product Data Templates (PDT) and a database structure for BIM objects, including the necessary parameters to enable designers to do holistic and dynamic assessments from early design stages to a complete LCA. …”
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Park cool island modifications to assess radiative cooling of a tropical urban park by Graces N.Y. Ching, Sin Kang Yik, Su Li Heng, Beatrice H. Ho, Peter J. Crank, Moshe Mandelmilch, Xiang Tian Ho, Winston T. L. Chow

“…PCImodified leverages on the network of sensors to preserve the spatial granularity of data, allowing for the interpolation of point data across the study area. …”
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Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing by Akwasi Tagoe, Alexander Silva, Cengiz Koparan, Aurelie Poncet, Dongyi Wang, Donald Johnson, Margaret Worthington

“…Efficiently managing agricultural systems necessitates accurate data collection from crops to examine phenotypic characteristics and improve productivity. …”
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Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm by Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy

“…LLMs centralize traditionally disconnected traffic control processes and can integrate traffic data from diverse sources to provide context-aware decisions. …”
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Efficacy and Central Mechanism of Acupuncture Treatment for Subacute Nonspecific Low Back Pain: A Clinical Neuroimaging Protocol by Ren J, Gao Z, Chang BY, Cui MJ, Wang HJ

“…The magnetic resonance imaging (MRI) scans will be performed to detect cerebral activity changes between the three groups of patients before and after treatment, as well as during follow-up periods. The clinical data and MRI data will be analyzed, respectively. …”
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Making Medical Education Courses Visible: Theory-Based Development of a National Database by Andi Gashi, Monika Brodmann Maeder, Eva K. Hennel

“…The acquired data and a concurrently developed keyword system to standardize course terminology are presented using Obsidian, a software that shows data networks. …”
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Gas sensors and real-time video for accurate classroom occupancy detection by Koundinya Challa, Issa W. AlHmoud, Chandra Jaiswal, Balakrishna Gokaraju, Raymond Tesireo

“…This study introduces an advanced methodology for optimizing HVAC efficiency through real-time classroom occupancy detection by combining video analysis with gas sensor data to enhance accuracy and reliability. The proposed system integrates video feeds captured by a Logitech C20 webcam with data from an MS1100 gas sensor module, ensuring a dual-modal approach to occupancy detection. …”
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Prediction of the Possibility of Hemorrhagic Syndrome during Combined Antiplatelet Therapy According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

“…According to the literature data, acute coronary syndrome (ACS) in 2-20 % of cases is combined with atrial fibrillation (AF). …”
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Learning efficient haptic shape exploration with a rigid tactile sensor array. by Sascha Fleer, Alexandra Moringen, Roberta L Klatzky, Helge Ritter

“…In robot vision however, deep learning approaches and an abundance of available training data have triggered huge advances. In the present work, we connect recent advances in recurrent models of visual attention with previous insights about the organisation of human haptic search behavior, exploratory procedures and haptic glances for a novel architecture that learns a generative model of haptic exploration in a simulated three-dimensional environment. …”
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Selection of Optimal Diagnostic Positions for Early Nutrient Deficiency in Cucumber Leaves Based on Spatial Distribution of Raman Spectra by Zhaolong Hou, Yaxuan Wang, Feng Tan, Jiaxin Gao, Feng Jiao, Chunjie Su, Xin Zheng

“…Results show that spectral similarity across positions exhibits higher instability during the early developmental stages of leaves or under short-term (24 h) nutrient stress, with significant differences in the stability of spectral data among treatment groups. However, visual analysis of the spatial distribution of positions with lower similarity values reveals consistent spectral similarity distribution patterns across different treatment groups, with the lower similarity values predominantly observed at the leaf margins, near the main veins, and at the leaf base. …”
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Anterior cervical discectomy with arthroplasty versus arthrodesis for single-level cervical spondylosis: a systematic review and meta-analysis. by Aria Fallah, Elie A Akl, Shanil Ebrahim, George M Ibrahim, Alireza Mansouri, Clary J Foote, Yuqing Zhang, Michael G Fehlings

“…We performed title and abstract screening and full text screening independently and in duplicate.<h4>Data synthesis</h4>We used random-effects model to pool data using mean difference (MD) for continuous outcomes and relative risk (RR) for dichotomous outcomes. …”
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Interest, enjoyment, and confidence in mathematics in the United States: exploring patterns across age, gender, race, and time by Tye G. Campbell, Katherine N. Vela, Tyler Powell

“…Analysis centered on descriptive statistics and visual trends of the data, as well as simple significance testing via independent samples t-tests. …”
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Quality and reporting of patient-reported outcomes in elderly patients with hip fracture: a systematic review by R Marijn Houwert, Marilyn Heng, Sandra Wilson, Puck van der Vet, Egbert-Jan Verleisdonk

“…Because of heterogeneity in study population and outcomes, data pooling was not possible.Results 3659 studies were found in the initial search. …”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…The multimodal late fusion of numeric and visual data makes the model more robust in detecting diverse malware variants. …”
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Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner by Güzin Özdağoğlu, Muhammet Damar, Fatih Safa Erenay, Hale Turhan Damar, Osman Himmetoğlu, Andrew David Pinto

“…First, we processed the relevant data from patient records. Then, this data was transformed into event and activity logs. …”
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Magnetic resonance imaging relevance in diagnosis and prognosis of early postoperative period following pancreatic cancer surgical treatment by E. N. Kolesnikov, D. Ya. Iozefi, O. I. Kit, A. Yu. Maksimov

“…The overall accuracy of the technique in predicting fistula development was 97.5 %. New visual predictors («domino» and «white on white» symptoms) based on MRI data were used to improve the scale accuracy.Conclusion. …”
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Emotion recognition based on brain and machine collaborative intelligence by Dongjun LIU, Yuhan WANG, Wenfen LING, Yong PENG, Wanzeng KONG

“…Emotion recognition is a direct and effective mode of emotion recognition.Machine learning relies on the formal representation of image expressions, lacks the cognitive representation ability of the brain, and has poor recognition performance on small sample data sets or complex expression (camouflage) data sets.To this end, the formal representation of machine artificial intelligence was combined with the emotional cognitive ability of human brain general intelligence, and a brain-machine collaborative intelligence emotion recognition method was proposed.Firstly, electroencephalogram (EEG) emotional features were extracted from EEG to obtain the brain’s cognitive representation of emotions.Secondly, the visual features of the image were extracted from the emotional image to obtain the machine’s formal representation of the emotion.In order to enhance the generalization ability of the machine model, the transfer adaptation between samples was introduced in the feature learning.After obtaining image visual features and EEG emotional features, the random forest regression model was trained to obtain the brain-machine mapping relationship between image visual features and EEG emotional features.The visual features of the test image were generated through the brain-machine mapping relationship to generate virtual EEG emotional features, and then the virtual EEG emotional features and image visual features were fused for emotion recognition.This method has been verified on the Chinese facial affective picture system (CFAPS) and found that the average recognition accuracy of the seven emotions is 88.51%, which is 3%～5% higher than the image-based method.…”
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3D Gaussian Splatting aided Localization for Large and Complex Indoor-Environments by V. Ress, J. Meyer, J. Meyer, W. Zhang, D. Skuddis, U. Soergel, N. Haala

“…In detail, we first use a modern visual SLAM approach that provides a 3D Gaussian Splatting (3DGS) based map to create reference data. …”
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استخدام تقنیة الأنفوجرافیک فى تدریس وحدة بمقرر البرمجیات بقسم المکتبات جامعة المنیا : دراسة تجریبیة... by د.یارة ماهر قناوى Maher Qenawy

“…The Research Deals with the Definition and the Possibility of Infographic'sRecruitment in the Teaching Module in Software Course to Students Departmentof Libraries, Where it has an Important and Effective Role in the Transmission ofInformation , Data , and knowledge clearly and attract attention , and this is donethrough the representation of data and information visually .the study aimed to measuring the effectiveness of the use of InfographicTechnology in Teaching Module in the Software Course to Fourth Year Studentsof the Department of Libraries , The study was based on the ExperimentalMethod and the Design of Tribal and Remote Measurement of Two Groups ,One Teaching in the Traditional Way and The Other Teaching the Infographic .The study Reached Several Results the Most Important there are noStatistically Significant Differences between the Average Degree of Tribal andRemote Application in the Research Sample on their variable of the SoftwareCourse.…”
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