Landscape structure, climate variability, and soil quality shape crop biomass patterns in agricultural ecosystems of Bavaria by Maninder Singh Dhillon, Thomas Koellner, Sarah Asam, Jakob Bogenreuther, Stefan Dech, Stefan Dech, Ursula Gessner, Daniel Gruschwitz, Sylvia Helena Annuth, Tanja Kraus, Thomas Rummler, Christian Schaefer, Sarah Schönbrodt-Stitt, Ingolf Steffan-Dewenter, Martina Wilde, Martina Wilde, Tobias Ullmann

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Elastocaloric can cooler: an exemplary technology transfer to use case application by L. Ehl, L. Ehl, N. Scherer, D. Zimmermann, D. Zimmermann, I. Trofimenko, P. Molitor, S.-M. Kirsch, F. Louia, P. Motzki, P. Motzki

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Design of Compliant Components in Linkage-Driven Prosthetic Fingers: A Multi-Material Printing-Based Method by Ludovica Nini, Lucia Tontini, Nevio Luigi Tagliamonte, Loredana Zollo, Fabrizio Taffoni

“…This paved the way for the development of reliable and affordable 3D-printed linkage-driven prosthetic hands provided with preshaping and shape-adaptive behaviour.…”
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Research on the Parametric Design and Application of Ceramic Modeling Based on Python by Zhenjie Wang, Longyao Xu, Jing Dai, Chengqian Zeng, Yu Zhong, Liyan Liu, Shuanghua Wang

“…In response to the growing diverse needs of the ceramic industry, this paper presents a creative approach employing the ErgoLAB human–machine environment synchronization platform to identify key parameters for ceramic shape parametric design. …”
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Numerical Optimization of Polygon Tessellation for Generating Machine-producible Crochet Patterns by Jan Lukas Storck, Bjarte Alexander Feldmann, Johannes Fiedler, Yordan Kyosev

“…To fully exploit this potential, it is necessary to develop not only hardware, but also methods that enable the design of novel machine-crocheted fabrics. In the case of manual crocheting, approaches for an automated generation of crochet patterns according to 3D shapes have already been presented in the literature. …”
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Identification of a double decay length (λqt) heat flux deposition shape with embedded thermal measurement and neural network by Y. Anquetin, J. Gaspar, Y. Corre, JL. Gardarein, J. Gerardin, P. Malard, F. Rigollet, Q. Tichit, E. Tsitrone

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Research on Static and Dynamic Characteristics of Spindle System of High Speed Milling Machine by ZHANG Yuan, WANG Lifeng, ZHANG Jin

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Machine Learning‐Accelerated Reconstruction of Periodic Nanostructures with X‐ray Fluorescence Spectroscopy Methods by Vinh‐Binh Truong, Analía Fernández Herrero, Kas Andrle, Victor Soltwisch, Philipp Hönicke

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3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer’s disease via machine learning by Wissam B. Nassrallah, Hao Ran Li, Lyden Irani, Printha Wijesinghe, Peter William Hogg, Lucy Hui, Jean Oh, Ian R. Mackenzie, Veronica Hirsch-Reinshagen, Ging-Yuek Robin Hsiung, Wellington Pham, Sieun Lee, Joanne A. Matsubara

“…We then used interactive machine learning to segment individual microglia in 3D. …”
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Advancing sustainable mobility in India with electric vehicles: market trends and machine learning insights by Ezhilmaran Devarasan, Deepikaa Nagarajan, Jenisha Rachel

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Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models by Muhammad Salman Khan, Tianbo Peng, Hanzlah Akhlaq, Muhammad Adeel Khan

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Hydrogel-Based Biointerfaces: Recent Advances, Challenges, and Future Directions in Human–Machine Integration by Aziz Ullah, Do Youn Kim, Sung In Lim, Hyo-Ryoung Lim

“…An analysis of the patent landscape provides insights into emerging trends and innovations shaping the future of hydrogel technologies in human–machine interactions. …”
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Machine learning-assisted techniques for Compton-background discrimination in Broad Energy Germanium (BEGe) detector by G. Baccolo, A. Barresi, D. Chiesa, A. Giachero, D. Labranca, R. Moretti, M. Nastasi, A. Paonessa, M. Picione, E. Previtali, M. Sisti

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A comprehensive investigation of morphological features responsible for cerebral aneurysm rupture using machine learning by Mostafa Zakeri, Amirhossein Atef, Mohammad Aziznia, Azadeh Jafari

“…To achieve this, we used 5 classification machine learning algorithms and trained them on a substantial database comprising 708 cerebral aneurysms. …”
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A Compact Dual-Band Antenna for Brain–Machine Interface and Skin-Implantable Biotelemetry Applications by Emtiaz Ahmed Mainul, Md. Faruque Hossain

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Coupled SPH-FEM Simulation Model to Analyze the Mechanism of Single Particle Impact in Abrasive Waterjet Machining by Y. Abdelhameed, Ibrahem Maher, Jiwang Yan, Hassan El-Hofy, Mohsen A. Hassan

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Investigation of the Combined Effects of Ultrasonic Vibration-Assisted Machining and Minimum Quantity Lubrication on Al7075-T6 by Ramazan Hakkı Namlu, Barış Çetin, Bahram Lotfi, S. Engin Kılıç

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Design of an Appropriate Combined Sheet Metal Roll Forming and Bending Machine For Small Scale Fabrication Enterprises by Kaggwa William Namutale

“…To make the appropriate design, the required specifications were established, components were selected and then sized, and then a layout of the machine was generated using 3D modeling software (OS SOLJDWORKS). …”
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Design of an Appropriate Combined Sheet Metal Roll Forming and Bending Machine for Small Scale Fabrication Enterprises. by Kaggwa, William Namutale

“…To make the appropriate design, the required specifications were established, components were selected and then sized, and then a layout of the machine was generated using 3D modeling software (DS SOLIDWORKS). …”
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Influence of the three-body abrasion kinematics on the surface characteristics of an SLS-fabricated tool during machining of ceramics by Sisay Workineh Agebo, Dawid Zieliński, Mariusz Deja

“…Machining with counter-rotational kinematics exhibited larger surface shape error, resulting in an average maximum height (Wt) of 163.48 µm and pinpointing intense wear at a tool radius of 95 mm. …”
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