THE ETHICAL STARTUP? by Alexis Walker

“…Significant research discusses the challenges of consent as well as possibilities for addressing them.[21] And while I advocate the use of decisional, visualization, and simulation tools to support consumers at crucial moral moments, literature in the social sciences and humanities make the dangers of expecting technology to solve all challenges clear.[22] Instead, I am advancing a vision of how today’s technologies can be designed to support the structural interventions needed to advance justice and equity.[23] Lead with Limitations Substantial empirical data show that in the face of goals that we, as moral agents, really want to achieve, we enact what many refer to as “willful blindness,” sidelining moral considerations.[24] Ethics supports would then involve leading by introducing potential limitations through marketing, communication, explanations, consent processes, etc. …”
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Deep Learning-Based Detection and Digital Twin Implementation of Beak Deformities in Caged Layer Chickens by Hengtai Li, Hongfei Chen, Jinlin Liu, Qiuhong Zhang, Tao Liu, Xinyu Zhang, Yuhua Li, Yan Qian, Xiuguo Zou

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Knowledge Map-Based Analysis of Carbon Sequestration Research Dynamics in Forest and Grass Systems: A Bibliometric Analysis by Quanlin Ma, Xinyou Wang, Baoru Mo, Zaiguo Liu, Yangjun Zhang, Wenzheng Zong, Meiting Bai

“…To clarify the research history, major contributing groups, and research hotspots related to carbon sequestration in global forest and grass systems, this study utilizes the core ensemble of the Web of Science database as its data source. Employing bibliometric methodology and software, such as VOSviewer 1.6.20 and CiteSpace 5.7.R1, we analyzed the development of 594 relevant publications from 2010 to 2024, focusing on their developmental lineage, research groups, current research status, and visualizing and analyzing research hotspots and frontiers. …”
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A bibliometric analysis of mental health among high school students by Shilong Song, Wenbing Yu, Shuoqi Li, Wenze Sun, Jiannan Fu, Qi Cheng

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Clinicoradiological profile of children presenting with global developmental delay and microcephaly by ShreyasT.S. Phayde, Suneel C. Mundkur, Rochelle A. Pereira, Leslie E. Lewis, Shrikiran A. Hebbar, Ramesh Bhat Y, Pushpa Kini, Karen J. Moras

“…Seizures were the most common co-morbidity, affecting 154 children (62.3 %), visual abnormalities were detected in 118 children, (47.8 %) and hearing abnormalities in approximately one-sixth (15 %). …”
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Infectious keratitis following photorefractive keratectomy: a 13-year study at a tertiary center by Alireza Attar, Hossein Jamali, Julio Ortega-Usobiaga, Golnoush Mahmoudinezhad, Dagny Zhu, Mohammad Mohammadi

“…The study was conducted in two stages: the first stage assessed the incidence of post-PRK infectious keratitis among patients who underwent PRK at our center, while the second stage included all patients with post-PRK infectious keratitis, regardless of where their PRK was performed. The following data were collected: demographics, post-surgery presentation time, risk factors, culture results, treatments, follow-up duration, complications, and corrected distance visual acuity (CDVA) at admission and the last follow-up. …”
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Different Acupuncture Treatments for Myofascial Pain Syndrome in Neck or Shoulder: A Network Meta-Analysis Based on Randomized Controlled Trials by Wang T, Gu Y, Li Y, Chen J, Zeng L

“…Comprehensive analysis indicates that Internal heat acupuncture has the most favorable therapeutic effect.Keywords: myofascial pain syndromes, acupuncture, visual analog scale, network meta-analysis…”
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Top 100 most-cited articles on apoptosis of non-small cell lung cancer over the past two decades: a bibliometrics analysis by Leshi Ma, Jing Zhang, Zi Dai, Pei Liao, Jieshan Guan, Jieshan Guan, Jieshan Guan, Jieshan Guan, Jieshan Guan, Zhijie Luo, Zhijie Luo, Zhijie Luo, Zhijie Luo

“…VOSviewer1.6.19 was used to conduct cluster analysis of publishing countries (regions), with data exported to SCImago Graphica for geographic visualization and cooperation analysis. …”
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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging by Chiara Manini, Markus Hüllebrand, Lars Walczak, Sarah Nordmeyer, Lina Jarmatz, Titus Kuehne, Heiko Stern, Christian Meierhofer, Andreas Harloff, Jennifer Erley, Sebastian Kelle, Peter Bannas, Ralf Felix Trauzeddel, Jeanette Schulz-Menger, Anja Hennemuth

“…However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data introduces variability and limits the reproducibility of aortic hemodynamics visualization and quantitative flow-related parameter computation. …”
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Distinct Views Improve Generalization and Robustness: Combinations of Augmentations With Different Features by Keon Kim, Hyun Woo Kim, Yong Suk Choi

“…Data augmentation is an effective method for improving deep learning model performance. …”
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Enhancing Adversarial Defense via Brain Activity Integration Without Adversarial Examples by Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

“…Then, by maximizing the similarity between features predicted by the encoder and the original visual features, we obtain features with the visual invariance of the human brain and the diversity of data augmentation. …”
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SynergyAI: A Human–AI Pair Programming Tool Based on Dataflow by Le Jiang, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon

“…SynergyAI also features an AI assistant that utilizes scatter plot matrices and data correlation analysis to help programmers select data and optimize model structures. …”
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Enhancing Remote Sensing Image Quality through Data Fusion and Synthetic Aperture Radar (SAR): A Comparative Analysis of CNN, Lightweight ConvNet, and VGG16 Models by Desynike Puspa Anggreyni, Indriatmoko, Aniati Murni Arymurthy, Andie Setiyoko

“…Three image classification models were evaluated to process the fused data: Convolutional Neural Network (CNN), Lightweight ConvNet, and Visual Geometry Group 16 (VGG16). …”
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Structured digital tables on the Semantic Web: toward a structured digital literature by Kei‐Hoi Cheung, Matthias Samwald, Raymond K Auerbach, Mark B Gerstein

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Identifying Ring Galaxies in DESI Legacy Imaging Surveys Using Machine Learning Methods by Aina Zhang, Xiaoming Kong, Bowen Liu, Nan Li, Yude Bu, Zhenping Yi, Meng Liu

“…During model training, we investigated the impact of imbalanced data sets on the performance of the two-stage model. …”
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Recent Optical Coherence Tomography (OCT) Innovations for Increased Accessibility and Remote Surveillance by Brigid C. Devine, Alan B. Dogan, Warren M. Sobol

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Grape cluster detection based on spatial-to-depth convolution and attention mechanism by Shuai Rong, Xinghai Kong, Ruibo Gao, Zhiwei Hu, Hua Yang

“…Grape cluster detection is a crucial step in the visual tasks of automated grape harvesting. Background and occlusion lead to difficulty in detecting grape clusters under natural environments. …”
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Multi-Modal Fused-Attention Network for Depression Level Recognition Based on Enhanced Audiovisual Cues by Yihan Zhou, Xiaokang Yu, Zixi Huang, Feierdun Palati, Zeyu Zhao, Zihan He, Yuan Feng, Yuxi Luo

“…In recent years, substantial research has focused on automated systems for assessing depression levels using different types of data, such as audio and visual inputs. However, signals recorded from individuals with depression can be influenced by external factors, such as the recording equipment and environment, making it essential to create a system that is resilient to these interferences to maintain accuracy. …”
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Identification of Typical Time-Series House Consumption Profiles Based on Unsupervised Learning Techniques by Marcelo Forte, Cindy P. Guzman, Lucas Pereira, Hugo Morais

“…With the recent widespread adoption of smart meters, there is a pressing need to develop robust methodologies for obtaining, characterizing, and visualizing these profiles. This paper presents a comparative analysis of various clustering methods for deriving consumer electricity profiles, aiming to identify the most suitable techniques for big time-series data and to evaluate how the granularity of the data influences the final profiles. …”
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Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images by Linn Abraham, Sheelu Abraham, Ajit K. Kembhavi, N. S. Philip, A. K. Aniyan, Sudhanshu Barway, Harish Kumar

“…The volume of present and future data on galaxies is so large that traditional methods, which involve expert astronomers identifying morphological features through visual inspection, are no longer sufficient. …”
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