Best Practices in Organizing Digital Transformation: Qualitative Case Study in Dutch Hospital Care by Tanja Schiffelers, Kaya Kapteijns, Laura Hochstenbach, Bas Kietselaer, Esther Talboom-Kamp, Marieke Spreeuwenberg

“…ResultsAlthough hospitals organize their digital transformation in different ways and with different teams or departments, they encounter similar facilitators and barriers. …”
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A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention by Tianjiao Hu, Yihua Lan, Yingqi Zhang, Jiashu Xu, Shuai Li, Chih-Cheng Hung

“…The proposed method was verified on the LIDC-IDRI and LNDb datasets. …”
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Estimating a Finite Population Mean Using Transformed Data in Presence of Random Nonresponse by Nelson Kiprono Bii, Christopher Ouma Onyango, John Odhiambo

“…To compensate for random nonresponse, imputation methods have been proposed by various researchers. …”
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AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder by Yunseung Lee, Pilsung Kang

“…Encoder-decoder structures have been widely used in the field of anomaly detection because they can easily learn normal patterns in an unsupervised learning environment and calculate a score to identify abnormalities through a reconstruction error indicating the difference between input and reconstructed images. Therefore, current image anomaly detection methods have commonly used convolutional encoder-decoders to extract normal information through the local features of images. …”
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Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer by Antonio J. Rodriguez-Almeida, Carmelo Betancort, Ana M. Wägner, Gustavo M. Callico, Himar Fabelo, on behalf of the WARIFA Consortium

“…Therefore, these AI-based methods do not provide enough information in critical decision-making scenarios, like in the medical field. …”
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Uninformative Biological Variability Elimination in Apple Soluble Solids Content Inspection by Using Fourier Transform Near-Infrared Spectroscopy Combined with Multivariate Analysi... by Lin Zhang, Baohua Zhang, Jun Zhou, Baoxing Gu, Guangzhao Tian

“…Four different preprocessing methods, namely, Savitzky-Golay smoothing, multiplicative scatter correction, standard normal variate, and mean normalization, as well as their combinations were conducted on raw Fourier transform near-infrared spectra to eliminate the uninformative biological variability. …”
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A robust in planta Agrobacterium‐mediated transformation in red chili (Capsicum annuum L.) by Anti Damayanti Hamdani, Syarul Nugroho, Rizkita Rachmi Esyanti, Ahmad Faizal, Sony Suhandono

“…Therefore, this study aimed to develop an Agrobacterium‐mediated in planta transformation method applicable to various red chili cultivars. …”
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Impact of anthropogenic landscape transformation on soil fertility and diversity of carabid beetles and butterflies in Poland by Katarzyna Szyszko-Podgórska, Joanna Ukalska, Krzysztof Ukalski, Marek Kondras

“…Anthropogenic landscape transformation, including urbanization and intensive agriculture, significantly affects the structure and functioning of ecosystems. …”
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MLK-TR: a Multi-branch Large Kernel TRansformer for UAV-based images by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Jianjing Gao, Baoxi Yuan

“…However, due to the small size of targets captured by UAV, along with challenges such as scale variation and blurred edges, existing methods struggle to maintain high detection accuracy while ensuring efficient inference speed. …”
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The effects of digital transformation on corporate energy efficiency: a supply chain spillover perspective by Fangfang Song

“…IntroductionAs a new enterprise development model, digitalization is an important driver for improving energy efficiency and can provide carbon reduction services across the entire chain.MethodsIn this study, we utilize the panel data of relevant listed firms from 2009 to 2022 to investigate the causal impact of digital transformation on corporate energy efficiency at each node of the supply chain and discuss the moderating effects of digital finance and public environmental concern.ResultsThe empirical results indicate that digital transformation can enhance corporate energy efficiency, and has a forward spillover efficiency-enhancing effect. …”
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Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis by Jing Huang, Jingtao Wang, Junhai Shi, Hengli Ni, Shan Xu, Ping Wu, Yuexiang Ren, Lijuan Bian, Chenhan Su, Yuxuan Xu, Xinyu He, Xinjian Chen, Jianming Li

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Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition by Jinghang Liu, Xiangyuan Xu, Yan Qiu, Chunzhi Wang

“…Comprehensive evaluations demonstrate that GaitSMAT achieves state-of-the-art (SOTA) performance on multiple public datasets (GREW, Gait3D, and SUSTech1K), exhibiting significant improvements over existing approaches. The method shows particular efficacy in complex environments, demonstrating superior robustness and accuracy. …”
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Sustainable industrial transformation through entrepreneurial ecosystem governance: The case of Polish energy clusters by Marta Gancarczyk, Damian Tomczyk, Jacek Gancarczyk

“…Findings: We identified governance characteristics associated with the different levels of sustainable energy industrial transformation (SEIT). …”
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Transforming electronic waste into sustainable building materials for a cleaner environment: a review by M. Vishnu Priyan, Durga Prasad Ravella, George Uwadiegwu Alaneme

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Navigating dual frontlines: transforming clinical urgency and academic excellence through distributed leadership by Mingyan Shen, Zhixian Feng, Pengxia Wan, Fangchi Liu

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Multi-Level Depression Severity Detection with Deep Transformers and Enhanced Machine Learning Techniques by Nisar Hussain, Amna Qasim, Gull Mehak, Muhammad Zain, Grigori Sidorov, Alexander Gelbukh, Olga Kolesnikova

“…Our results demonstrate that, to the best of the authors’ knowledge, domain-transferred Transformers outperform non-Transformer-based ML methods in capturing subtle linguistic cues indicative of different levels of depression, thereby highlighting their potential for fine-grained mental health monitoring in online settings.…”
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Utilizing TabPFN Transformer with IoT Environmental Data for Early Prediction of Grapevine Diseases by Nikolaos Arvanitis, Filippo Graziosi, Gina Athanasiou, Antonia Terpou, Olga Arvaniti, Theodore Zahariadis

“…This study presents a workflow in which IoT environmental sensors and machine learning methods are leveraged to accurately predict disease onset and allow for timely fungicide applications or other disease management strategies. …”
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Transformative education: Enhancing pharmacovigilance awareness among healthcare professionals through sensitization initiatives by Anita Kumari, Himani Prajapati

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Transformational Processes in Production Industries under the Conditions of Circular Economy Development: Global Trends by Shkurat Mariia Ye., Lozinskyi Artem V.

“…To achieve this goal, the following objectives are solved: analysis of the volume of waste generation in the world economy and waste management in different countries; determination of modern approaches and methods of introducing the principles of circular economy into production processes; analysis of the experience of successful countries and companies in the implementation of circular models; development of recommendations for enterprises on the integration of circular principles in manufacturing industries. …”
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Effect of temperature and time on purity, morphology and phase transformations of silica from rice husk by Md. Tariqul Islam, Md. Faruk Hossen, Md. Kudrat-E-Zahan, Md. Ali Asraf, C.M. Zakaria, Hayatullah, Md Shohel Rana

“…In this work, Thermal and chemical treatment methods to synthesize silica from rice husks. The multiple properties of silica sources depend on various calcination temperatures (500–1000 ​°C) and time (1–6 ​h) in temperature-controlled muffle furnaces. …”
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