Leveraging Machine Learning for Advancing Circular Supply Chains: A Systematic Literature Review by Zeinab Farshadfar, Tomasz Mucha, Kari Tanskanen

“…<i>Background</i>: Circular supply chains (CSCs) aim to minimize waste, extend product lifecycles, and optimize resource efficiency, aligning with the growing demand for sustainable practices. …”
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Novel Cerium‐Based p‐Dopants with Low Parasitic Absorption for Improved Organic Devices by Stephanie A. Buchholtz, L. Conrad Winkler, Maximilian F. X. Dorfner, Fred Kretschmer, Anncharlott Kusber, Léonard Y. M. Eymann, Theresa Schmidt, Hans Kleemann, Johannes Benduhn, Frank Ortmann, Karl Leo

“…The decreased parasitic absorption yields optical‐microcavity‐enhanced photodetectors with significantly reduced full‐width at half maximum, paving the way toward more efficient and wavelength‐selective infrared detectors.…”
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Principles of Arranging Independent Appraisal of Competences and Professional Development of Employees in Organization by K. V. Ekimova, S. M. Nechaeva, I. A. Kalinina

“…Thus, results of independent appraisal help project the employee’s profile and make decision concerning arrangement of training and selecting acute subjects. Preliminary independent appraisal of competence possession can provide efficient training of workers, which fosters the development of staff potential and sustainable functioning of then organization in general.…”
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The brain ages optimally to model its environment: evidence from sensory learning over the adult lifespan. by Rosalyn J Moran, Mkael Symmonds, Raymond J Dolan, Karl J Friston

“…Theoretical neurobiology offers a simpler explanation for all of these effects--from a Bayesian perspective, as the brain is progressively optimized to model its world, its complexity will decrease. A corollary of this complexity reduction is an attenuation of Bayesian updating or sensory learning. …”
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Riverbed Surface Settlement Patterns Induced by Pipe Jacking Construction in River-Crossing Sections by SHENG Song-tao, AN Zi-yue, ZHOU Hong-yun, LIU Jie

“…[Objective] With the advancement of rainwater and sewage diversion projects in cities along the river, trenchless pipe jacking technology has been widely adopted due to its efficiency and environmental advantages. However, pipe jacking in the river-crossing sections faces challenges posed by complex hydrogeological conditions, which can cause riverbed surface displacement and even lead to engineering accidents such as water inrush or blowout. …”
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Can Smart Electrochemical Sensors Sustainably Tackle PFAS-@Microplastics? by Andrea Lee, Riley Orr, Justin Sanchez-Almirola, Jasmina Casals-Terré, Ajeet Kaushik

“…Electrochemical sensors detect MPs (ppb) and PFAS (ppt) selectively, but simultaneous detection of both in the PFAS@MP complexation has not been demonstrated. …”
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Trace level detection of Pb2+ ion using organic ligand as fluorescent-on probes in aqueous media by Maria Sadia, Jehangir Khan, Rizwan Khan, Syed Wadood Ali Shah, Adil Zada, Muhammad Zahoor, Riaz Ullah, Essam A. Ali

“…The sensor exhibited high efficiency and selectivity in detecting Pb2+ ions, even in the presence of potential interfering ions such as Mn2+, Cu2+, Co2+, Cr3+, Ni2+, Ce3+, Hg2+, and Cd2+ in aqueous solutions. …”
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Automatic identification of slip pathways in ductile inorganic materials by combining the active learning strategy and NEB method by Jun Luo, Tao Fan, Jiawei Zhang, Pengfei Qiu, Xun Shi, Lidong Chen

“…However, the accurate determination of slip pathways, crucial for understanding the deformation mechanism, still poses a great challenge owing to the complex crystal structures of these materials. In this study, we propose an automated workflow based on the interlayer slip potential energy surface to identify slip pathways in complex inorganic systems. …”
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Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

“…Finally, the representative test case is selected to verify the effectiveness of the proposed method, which indicates that the proposed method can improve the efficiency of DNP and promote the digital transformation of DNP.…”
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Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol by Martin Eklund, Brett Delahunt, Lars Egevad, Hemamali Samaratunga, Mattias Rantalainen, Marcello Gambacorta, Einar Gudlaugsson, Bodil Ginnerup Pedersen, Xiaoyi Ji, Karina Dalsgaard Sørensen, Kelvin Szolnoky, Nita Mulliqi, Anders Blilie, Henrik Olsson, Matteo Titus, Geraldine Martinez Gonzalez, Sol Erika Boman, Masi Valkonen, Svein Reidar Kjosavik, José Asenjo, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Łowicki, Kristina Hotakainen, Päivi Väre, Benedicte Parm Ulhøi, Pekka Ruusuvuori, Toyonori Tsuzuki, Emilius Adrianus Maria Janssen, Kimmo Kartasalo

“…Many pathology departments are also facing an increasingly unsustainable workload due to rising prostate cancer incidence and a decreasing pathologist workforce coinciding with increasing requirements for more complex assessments and reporting. Digital pathology and artificial intelligence (AI) algorithms for analysing whole slide images show promise in improving the accuracy and efficiency of histopathological assessments. …”
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Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

“…But, it is realized that adaptation of the intensification and diversification for solving complex optimization problems are challenging tasks. …”
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Advanced solid materials for the extraction of drugs from biological fluids by P. García-Atienza, A. García-Juan, S. Armenta, J.M. Herrero-Martínez, H. Martínez-Pérez-Cejuela

“…The determination of drugs in biological fluids is essential across various fields, including toxicological analysis, pharmacokinetic studies, and the development of new pharmaceutical products, among others. However, the complexity of biological matrices—due to the presence of endogenous compounds and the typically low concentrations of target analytes—needs efficient sample preparation strategies alongside high-performance instrumentation to achieve the sensitivity and selectivity required in modern analytical chemistry. …”
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Advances in the management of posttraumatic stress disorder after critical illness: a narrative review by Evanthia Asimakopoulou, Panagiotis Theodosis-Nobelos, Charalampos Triantis

“…Antidepressants, particularly selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs), have demonstrated efficiency in alleviating symptoms. 3,4-Methylenedioxymethamphetamine–assisted therapy is the most promising approach, and the results of the clinical trials are encouraging. …”
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The Association between Rainfall and Taxi Travel Activities: A Case Study from Wuhan, China by Rong Chen, Lingjia Liu, Yongping Gao

“…Rainfall altered residents’ travel preferences to some extent, with more residents choosing taxis during rainy weather, which led to decreased transportation efficiency and increased traffic congestion. These findings contribute to a deeper understanding of the complex relationship between population mobility patterns and the urban ecological environment, providing valuable insights for planning resident travel and taxi dispatching under adverse weather conditions.…”
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Data-driven cultural background fusion for environmental art image classification: Technical support of the dual Kernel squeeze and excitation network. by Chenchen Liu, Haoyue Guo

“…A novel Dual Kernel Squeeze and Excitation Network (DKSE-Net) model is proposed for the complex cultural background and diverse visual representation in environmental art images. …”
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Using BWRO for removal of Arsenic III from anaerobic groundwater by A.H. Haidari, T. van Dijk, W.G. Siegers, T. Rijnaarts, E.R. Cornelissen

“…The study explores membrane performance under conditions not extensively addressed before, such as using natural anaerobic groundwater with arsenic concentrations of 70–80 µg/L and examining the effect of sulfide complexation on arsenic rejection. The impact of sodium sulfide and antiscalant on arsenic rejection was investigated, with Na₂S tested as a complexing agent. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…It exploits the fundamental trade-off between the complexity and simplicity of statistical sets in high-dimensional spaces without relying on global optimization techniques. …”
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Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus by Ke-Lin Du, Rengong Zhang, Bingchun Jiang, Jie Zeng, Jiabin Lu

“…Additionally, we examine the theoretical foundations of ensemble methods, including bias–variance trade-offs, margin theory, and optimization-based frameworks, while analyzing computational trade-offs related to training complexity, inference efficiency, and storage requirements. …”
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Inversion of Biological Strategies in Engineering Technology: A Case Study of the Underwater Soft Robot by Siqing Chen, He Xu, Xueyu Zhang, Tian Jiang, Zhen Ma

“…Despite its promise, the inherent complexity of biological systems and interdisciplinary knowledge gaps hinder the effective translation of biological principles into practical engineering solutions. …”
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Integrating Blockchains with the IoT: A Review of Architectures and Marine Use Cases by Andreas Polyvios Delladetsimas, Stamatis Papangelou, Elias Iosif, George Giaglis

“…Future research will need to prioritize scalability, energy efficiency, and interoperability for effective BIoT deployment.…”
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