Mineral prospectivity mapping using geological map semantic knowledge graph embedding: a case study of gold prospecting in Ankang, Shaanxi Province, China by Qun Yan, Linfu Xue, Yongsheng Li, Rui Wang, Ke Ding, Zhenglin Xu

“…To improve the model’s ability to learn the complex variations in geospatial features, we employ the Conformer deep learning model for gold prospectivity prediction. …”
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Integrated Navigation Method for Orchard-Dosing Robot Based on LiDAR/IMU/GNSS by Wang Wang, Jifeng Qin, Dezhao Huang, Furui Zhang, Zhijie Liu, Zheng Wang, Fuzeng Yang

“…To enhance the localization reliability and obstacle avoidance performance of the dosing robot in complex orchards, this study proposed an integrated navigation method using LiDAR, IMU, and GNSS. …”
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Real-time monitoring of ssDNA binding using a fiber optic LSPR microfluidic platform by Vivek Semwal, Asbjørn Meldgaard Moltke, Ole Bang, Jakob Janting

“…It was integrated with a microfluidic chamber to ensure stable measurements. We employed data processing techniques to fit the absorbance curve and extract the resonance wavelength, significantly reducing noise and achieving a 100-fold improvement in signal quality. …”
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Formation and Characterization of Aroma Compounds in Camembert Cheese by Bruna Fernanda Damasceno Ramirez, Gustavo Aparecido Martins, Juliano Lemos Bicas, Mário Roberto Maróstica Júnior

“…Camembert cheese, a surface-ripened variety, presents a complex aroma profile shaped by biochemical and microbial interactions. …”
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Damage Analysis of Rolling Stock Automatic Coupler under Cyclic Loads by Vaidas Lukoševičius, Žilvinas Bazaras, Donata Putnaitė, Eglė Bazaraitė

“…To ensure the operational safety of the automatic couplers of a rolling stock subjected to cyclic loading, reliability and residual service life must be determined. …”
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DSR-YOLO: A lightweight and efficient YOLOv8 model for enhanced pedestrian detection by Mustapha Oussouaddi, Omar Bouazizi, Aimad El mourabit, Zine el Abidine Alaoui Ismaili, Yassine Attaoui, Mohamed Chentouf

“…This paper presents DSR-YOLO, a pedestrian detection network that addresses critical challenges, such as scale variations and complex backgrounds. Built on the lightweight YOLOv8n architecture, it incorporates DCNv4 modules to enhance the detection rates and reduce missed detections by effectively learning key pedestrian features. …”
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A New Replacement Model under Trapezoidal Fuzzy Number Environment by Balaganesan M, Melita Vinoliah E, Krishnaveni G

“…But it is not possible in reality, as reality is uncertain and complex. This uncertainty is competently governed and controlled by fuzzy set theory. …”
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Bacteriophages against Salmonella enterica: challenges and opportunities by Nalleyt Segundo-Arizmendi, Nalleyt Segundo-Arizmendi, Alejandra Paola Flores-Coria, Janeth Gómez-Garcia, Efrén Hernández-Baltazar, Angélica Meneses-Acosta

“…Now a days, at least 41 companies worldwide market phage therapy products mainly for use in the food sector to reduce the transmission chain of Salmonella spp. to humans. However, the complex production processes required to ensure product quality, stability, safety, and efficacy, as well as the need for regulatory frameworks for phage therapy, present limitations to the global application of this strategy seems to be a limitation to promote its use all over the world as a pharmaceutical product. …”
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How do economic policy uncertainty and geopolitical risk affect oil imports? Evidence from China and India by Fei-Wen Huang, Chi-Wei Su, Shengyao Yang, Meng Qin, Weike Zhang

“…To ensure energy security for emerging economies, it is imperative to explore the impacts of economic policy uncertainty (EPU) and geopolitical risk (GPR) on oil imports in China (COI) and India (IOI). …”
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Intent-driven network automation through sustainable multimodal generative AI by Kostis Trantzas, Dimitrios Brodimas, Besiana Agko, Georgios Christos Tziavas, Christos Tranoris, Spyros Denazis, Alexios Birbas

“…To address this complexity, several technology enablers are considered, but the recent advancements in Large Language Models research have inevitably brought Intent-Based Networking to the forefront. …”
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The Model of Associations Between Self-Assessed Critical Thinking Skills, Their Perceived Importance and Work Engagement by Aistė Diržytė, Justinas Sadauskas, Valdonė Indrašienė, Violeta Jegelevičienė, Odeta Merfeldaitė, Daiva Penkauskienė, Jolanta Pivorienė, Asta Railienė

“…The structural equation modelling results revealed the complex model of the links between the perceived importance of critical thinking skills, the self-reported critical thinking skills, and the elements of work engagement, namely, vigour, dedication, and absorption. …”
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Active Learning Framework for Improving Knowledge Graph Accuracy by Donghyun Kim, Hyeongjun Yang, Seokju Hwang, Kyuhwan Yeom, Midan Shim, Kyong-Ho Lee

“…Unfortunately, knowledge graphs often contain incorrect triples due to the automated extraction processes. Therefore, to ensure the reliability and usability of knowledge graphs, it is crucial to identify and rectify these incorrect triples. …”
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Resilient AI in Therapeutic Rehabilitation: The Integration of Computer Vision and Deep Learning for Dynamic Therapy Adaptation by Egidia Cirillo, Claudia Conte, Alberto Moccardi, Mattia Fonisto

“…In the case study involving the therapeutic rehabilitation of patients with motor problems, the Resilient AI system is crucial to ensure that systems can effectively respond to changes, maintain high performance, cope with uncertainties and complex variables, and enable the dynamic monitoring and adaptation of therapy in real time. …”
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Constructive discussion: conceptualising a framework for productive communication across personal, conversational, institutional and cultural spheres by Luis Hernando Lozano Paredes, Chris Riedy, Alex Baumber, Helena Robinson, Fanny Salignac, Scott Matter, Chloë Spackman, Stephanie Mason, Monique Potts, Samuel Wearne

“…Increased polarisation and unwillingness to engage with difference create obstacles to addressing complex societal challenges. This can be observed across numerous countries in relation to controversial issues such as climate change, immigration, inequality, housing affordability and racial justice. …”
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Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence by Xin Nie, Laurence T. Yang, Fulan Fan, Zecan Yang

“…Although Deep Reinforcement Learning (DRL) can handle complex environments, its lack of transparency and interpretability hinders its applicability due to the black box nature. …”
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Theoretical solution for the impact of foundation pit excavation with support measures on the underlying shield tunnel by Kailun Ma, Tingting Liu, Xinping Li, Huirong Xu, Chuanxu Yuan, Dengxing Qu

“…To control the deformation of the underlying shield tunnels and ensure the safety of subway operations, appropriate pre-reinforcement measures must be proposed for the excavation support of foundation pits. …”
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Step-Up DC-DC Converter Supplied by a Thermoelectric Generator for IoT Applications by José Almeida, P. Mendonça dos Santos, João Caldinhas Vaz, Ricardo A. Marques Lameirinhas, Catarina Pinho Correia Valério Bernardo, João Paulo N. Torres

“…For loads above 20 k<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>Ω</mo></semantics></math></inline-formula>, the converter ensures voltages higher than 1.2 V, supplied by the TEG voltage of 0.5 V, while registering identical efficiency values to those of more complex and expensive CMOS-integrated solutions. …”
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Data-driven assessment of well stimulation in unconventional gas reservoirs by Jian Yang, Song Li, Ji Zeng, Zhaozhong Yang, Xiaogang Li, Tingting He, Liangping Yi, Bing Kong

“…Abstract Unconventional gas reservoirs, characterized by their complex geologies and challenging extraction conditions, demand innovative approaches to enhance gas production and ensure economic viability. …”
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Outlook towards deployable continual learning for particle accelerators by Kishansingh Rajput, Sen Lin, Auralee Edelen, Willem Blokland, Malachi Schram

“…Particle accelerators are high power complex machines. To ensure uninterrupted operation of these machines, thousands of pieces of equipment need to be synchronized, which requires addressing many challenges including design, optimization and control, anomaly detection and machine protection. …”
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The Potential for Dark Tourism in Kazakhstan: An Overview of the Former Concentration Camps by Aigerim Assylkhanova, Kamshat Mussina, Gyula Nagy, Samalgul Nassanbekova, Zhaxat Kenzhin, Lajos Boros

“…The research problem lies in understanding the complex dynamics between the preservation of historical sites associated with Kazakhstan’s former gulags and their role in the emerging dark tourism sector. …”
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