The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection by Mahammed Kamruzzaman, Gene Louis Kim

“… As large language models (LLMs) become increasingly integrated into hiring processes, concerns about fairness have gained prominence. …”
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Machine learning and deep learning in medicine and neuroimaging by Iván Sánchez Fernández, Jurriaan M. Peters

“…Machine learning is the subfield of artificial intelligence in which computers have the ability to learn and iteratively improve their performance without being explicitly programmed. Deep learning algorithms learn by processing the data with increasing levels of abstraction in each layer. …”
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Soil Health to Enhance Ecological Restoration and Conservation by Paola Raupp, Yolima Carrillo, Uffe N. Nielsen

“…We propose that integrating practices that explicitly consider linkages among vegetation, soil properties and biota can lead to more effective restoration outcomes and the establishment of resilient, self‐sustaining ecosystems.…”
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Deterministic and fractional-order modeling of measles dynamics with harmonic mean incidence rate and quarantine impact by Rehan Khan, Ioan-Lucian Popa, Emad A. A. Ismail, Fuad A. Awwad, Umar Ishtiaq

“…Saturation effects in disease transmission are modeled through a nonlinear infection rate while quarantine and recovery processes are explicitly incorporated. Parameters are estimated using a genetic algorithm based on cumulative monthly case data for measles in Indonesia. …”
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Deciphering Membrane Proteins Through Deep Learning Models by Revealing Their Locale Within the Cell by Mehwish Faiz, Saad Jawaid Khan, Fahad Azim, Nazia Ejaz, Fahad Shamim

“…Membrane proteins constitute essential biomolecules attached to or integrated into cellular and organelle membranes, playing diverse roles in cellular processes. …”
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Examining Digital Government Maturity Models: Evaluating the Inclusion of Citizens by Åsa Waara

“…This study examines 18 DGMMs, revealing that 17% do not mention citizens, 33% reference them minimally, and only 50% integrate citizen considerations extensively. This research identifies seven themes where citizens were explicitly addressed in the DGMM, and these themes are maturity stages, areas of focus, enablers, constraints, metrics, insights, and recommendations. …”
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CP-like symmetry with discrete and continuous groups and CP violation/restoration by Hiroshi Ohki, Shohei Uemura

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Matrix-Network Modeling of Translation Communication from Perspective of Eco-Translatology by I. N. Remkhe

“…The research methodology is based on the potential of matrix and network modeling methods for processing and visualizing data of translation communication. …”
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Dynamic Control of Sodium Cold Trap Purification Temperature Using LSTM System Identification by Rita Appiah, Alexander Heifetz, Derek Kultgen, Lefteri H. Tsoukalas, Richard B. Vilim

“…The long short-term memory–model predictive controller (LSTM-MPC) model employs a sliding window scheme to gather training samples for multi-step prediction, leveraging historical data to construct predictive models that capture the non-linearities of the complex system dynamics without explicitly modeling the underlying physical processes. …”
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Discussions of Cannabis Over Patient Portal Secure Messaging: Content Analysis by Vishal A Shetty, Christina M Gregor, Lorraine D Tusing, Apoorva M Pradhan, Katrina M Romagnoli, Brian J Piper, Eric A Wright

“…We used an unsupervised natural language processing approach to construct a lexicon that identified messages explicitly discussing cannabis. …”
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BDLS as a Blockchain Finality Gadget: Improving Byzantine Fault Tolerance in Hyperledger Fabric by Ahmed Al Salih, Yongge Wang

“…Decentralized systems are integral to various sectors, including public and private organizations. …”
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Enhanced Milne-Simpson's methods for autonomous and singular differential equations by Ajimot Folasade Adebisi, Saheed Aremu, Muideen Ogunniran, Kamiludeen Tijani, Adewole Ajileye

“…To overcome this, we propose a deep learning-based post-processing stage specifically designed to refine the coarse numerical solutions. …”
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Navigating authoritarian politics: towards reflexive framing in healthcare research by Marit Tolo Østebø, Kenneth Maes, Gabrielle Gibb, Rebecca Henderson

“…Yet, they were reluctant to explicitly integrate politically sensitive topics and discuss questions related to local political context in their research. …”
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A multivariate statistical framework for mixed storm types in compound flood analysis by P. Maduwantha, P. Maduwantha, T. Wahl, T. Wahl, S. Santamaria-Aguilar, S. Santamaria-Aguilar, R. Jane, R. Jane, J. F. Booth, H. Kim, H. Kim, G. Villarini, G. Villarini

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The Future Is Organic: A Deep Dive into Techniques and Applications for Real-Time Condition Monitoring in SASO Systems—A Systematic Review by Tim Nolte, Sven Tomforde

“…Although 58.18% implement some self-* features, only 42.19% present explicitly self-adaptive or self-organizing methods. …”
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European Union Law and Mitigation of Artificial Intelligence-Related Discrimination Risks in the Private Sector: With Special Focus on the Proposed Artificial Intelligence Act by Salih Tayfun İnce

“…Integrating AI systems into decision-making processes in the private sector may place the right to non-discrimination in danger. …”
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Depth-aware unpaired image-to-image translation for autonomous driving test scenario generation using a dual-branch GAN by Donghao Shi, Donghao Shi, Donghao Shi, Chenxin Zhao, Chenxin Zhao, Chenxin Zhao, Cunbin Zhao, Cunbin Zhao, Cunbin Zhao, Zhou Fang, Zhou Fang, Zhou Fang, Chonghao Yu, Chonghao Yu, Chonghao Yu, Jian Li, Jian Li, Jian Li, Minjie Feng, Minjie Feng, Minjie Feng

“…The dual-branch generator processes both RGB and depth inputs, ensuring geometric fidelity, while a self-attention mechanism enhances spatial dependencies and local detail refinement. …”
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Science communication during the COVID-19 pandemic: experiences, challenges and expectations from the perspective of scientists in Austria by Nina Lorenzoni, Lára R. Hallsson, Magdalena Flatscher-Thöni, Lina Förster, Claudia Schusterschitz

“…Although almost all interviewees reported personal attacks via email and social media after public appearances, they emphasized the importance of transparency and openness in science to build trust and public understanding of scientific processes, despite such attacks. From the scientists’ perspective future strategies should involve integrating science communication into university curricula and expanding scientific education in schools. …”
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3D-SCUMamba: An Abdominal Tumor Segmentation Model by Juwita, Ghulam Mubashar Hassan, Amitava Datta

“…The SC module effectively prepares summarized features for robust global dependency processing by the Mamba component. 3D-SCUMamba explicitly addresses the prevalent limitations in current deep learning methods by prioritizing robust feature representation, training stability, and substantial accuracy improvements. …”
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Extended Minimal Atomicity through Nondifferentiability: A Mathematical-Physical Approach by Gabriel Gavriluţ, Alina Gavriluţ, Maricel Agop

“…The explicitation of such situation specifies the fact that the hydrodynamical variant of a Fractal Mechanics is more easily approached and, from this, the fact that Quantum Measure Theory can be a particular case of a possible Fractal Measure Theory.…”
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