Cortical Connectivity Response to Hyperventilation in Focal Epilepsy: A Stereo-EEG Study by Lorenzo Ferri, Federico Mason, Lidia Di Vito, Elena Pasini, Roberto Michelucci, Francesco Cardinale, Roberto Mai, Lara Alvisi, Luca Zanuttini, Matteo Martinoni, Francesca Bisulli

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Unveiling the pathogenic mechanisms of polyethylene terephthalate-microplastic-driven osteoarthritis and rheumatoid arthritis: PTGS2 signaling hub-oriented toxicity profiling by Jingkai Di, Shuang Wang, Lujia Liu, Keying Rong, Zijian Guo, Yingda Qin, Feida Wang, Chuan Xiang

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Mapping Coastal Soil Salinity and Vegetation Dynamics Using Sentinel-1 and Sentinel-2 Data Fusion With Machine Learning Techniques by Wen Liu, Tiezhu Shi, Zhinian Zhao, Chao Yang

“…This study introduces a multisensor data fusion approach, integrating Sentinel-1 synthetic aperture radar (SAR) and Sentinel-2 multispectral imagery with advanced machine learning techniques, specifically a convolutional neural network (CNN) based classification model. This approach enables the precise mapping of coastal salt-affected soil and vegetation patterns, addressing spatial heterogeneity and dynamic environmental conditions. …”
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<i>Clitoria ternatea</i> L. (Butterfly Pea) Flower Against Endometrial Pain: Integrating Preliminary In Vivo and In Vitro Experimentations Supported by Network Pharmacology, Molecu... by Najneen Ahmed, Nazifa Tabassum, Parisa Tamannur Rashid, Basrat Jahan Deea, Fahmida Tasnim Richi, Anshuman Chandra, Shilpi Agarwal, Saima Mollick, Kaushik Zaman Dipto, Sadia Afrin Mim, Safaet Alam

“…For the same doses, upon acetic acid-induced-writhing assay, 75.6% and 76.78% inhibition rates, respectively, were observed. For network pharmacology analyses, a protein–protein interaction network was constructed for 92 overlapping gene targets of CT and EP, followed by GO and KEGG pathway enrichment analyses. …”
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Applying SSVEP BCI on Dynamic Background by Junkai Li, Boxun Fu, Fu Li, Wenkai Gu, Youshuo Ji, Yang Li, Tiejun Liu, Guangming Shi

“…Furthermore, we proposed Multi-scale Temporal-Spatial Global average pooling Neural Network (MTSGNN), an end-to-end network for decoding SSVEP signals evoked by the post-modulation paradigm. …”
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Process-based therapy vs. routine-CBT for difficult-to-treat mood and anxiety disorders: study protocol for a randomized controlled trial by Ulrich Stangier, Viktoria Kohl, Nora Görg, Lucie Sendig, Bettina Hufschmidt, Desiree Bonarius, Arwin Nemani, Mareike Ebert, Stefan G. Hofmann

“…Abstract Background Process-based therapy (PBT) is a new framework to intervention planning, based on the use of ecological momentary assessment (EMA) data and dynamic and idiographic network analyses. Support for its applicability has been reported from a single-case studies. …”
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Exploring the evolution of global beef trade network patterns based on complex network analysis by Qianqian Wang, Wangfang Xu, Rongzhu Cheng

“…However, research on the evolution of its network patterns remains relatively limited. This article aims to explore the evolution of global beef trade network patterns and provide insights into its implications for sustainable development.MethodsUsing complex network theory, this paper constructs weighted and unweighted global beef trade networks based on international trade data and conducts an in-depth analysis of the evolution of global beef trade patterns from 2013 to 2022 across the overall, individual, and clustering levels.ResultsThe analysis reveals an increasing trend in connectivity, efficiency, and tightness within the global beef trade network. …”
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Therapeutic efficacy and mechanisms of Xuebijing in Acinetobacter baumannii infection based on meta-analysis and integrated pharmacology approaches by Jiaqi Li, Yihan Sun, Hao Wen, Boying Xiao, Jianming Wang, Ziqi Li, Lei Wang, Meiyu Yu

“…Network pharmacology, molecular docking, and molecular dynamics simulations were used to evaluate the interactions between active ingredients of XBJ and protein targets in A. baumannii infections.ResultsA total of 11 RCTs involving 1,035 patients met the inclusion criteria. …”
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Plastic additive bisphenol S induces depression by promoting AZU1/CTSD proteins to mediate plasma-related proteins and metabolites: A comprehensive multi-omics analysis by Ni-ren Li, Pai Xie, Yi-xuan Zeng, Bing-ying Deng, Si-fan Lu, Yu-feng Gu, Yanhong Ma, Chao-hua Luo, Yi Liu

“…Molecular docking and molecular dynamics (MD) simulations were conducted to assess the binding stability between BPS and its target proteins. …”
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Exploring an n-type conducting polymer (BBL) as a potential gas sensing material for NH3 and H2S detection by Sonu Sunny, Sushri Soumya Jena, Shivam Shah, Bhavika Gopalani, Arnab Hazra, Mohit Garg, Sarbani Ghosh

“…Moreover, both H $$_{2}$$ S and NH $$_{3}$$ gas adsorption happen without compromising the size of the $$\pi -\pi$$ stacked crystallites within the polymer film, which indicates, upon detection of reducing gases, the generated free electrons via the redox reactions between the gas molecules and polymer, will be able to be smoothly transported through the $$\pi -\pi$$ stack network present in the film. The detailed theoretical insights obtained from this study indicate the suitability of the n-type conducting polymer, BBL, for detecting reducing gases, NH $$_{3}$$ and H $$_{2}$$ S.…”
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Poly(ionic liquid) functionalization: A general strategy for strong, tough, ionic conductive, and multifunctional polysaccharide hydrogels toward sensors by Xue Yao, Sufeng Zhang, Ning Wei, Liwei Qian, Hao Ding, Jingtao Liu, Wenqi Song, Sergiu Coseri

“…In this strategy, the elaborately designed “soft” (PIL chains) and “hard” (cellulose backbone) structures as well as the dynamic covalent and noncovalent bonds of the cross‐linked networks endow the hydrogel with high mechanical strength (9.46 ± 0.23 MPa compressive modulus), exceptional stretchability (214.3%), and toughness (3.64 ± 0.12 MJ m−3). …”
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Deep Learning-Based MPPT Approach to Enhance CubeSat Power Generation by Abdulazez Abagero, Yoseph Abebe, Abera Tullu, Young Seok Jung, Sunghun Jung

“…This paper presents a novel MPPT method that combines a Deep Feedforward Neural Network (DFFNN) with a Proportional-Integral (PI) controller to adapt to these rapidly changing conditions. …”
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Steroid dynamics in myalgic encephalomyelitis / chronic fatigue syndrome: a case-control study using ultra performance supercritical fluid chromatography tandem mass spectrometry by Natalie Thomas, S. J. Kumari A. Ubhayasekera, Christopher W. Armstrong, Katherine Huang, Jonas Bergquist

“…Given the broad role of steroid hormones in regulating these systems, this study investigated differences in the steroid metabolome and network dynamics between ME/CFS patients and matched controls. …”
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Real-Time Energy-Efficient Control Strategy for Distributed Drive Electric Tractor Based on Operational Speed Prediction by Xiaoting Deng, Zheng Wang, Zhixiong Lu, Kai Zhang, Xiaoxu Sun, Xuekai Huang

“…Taking a four-wheel independently driven DDET as the research object, we conduct dynamic analysis of draft operations and establish dynamic models of individual components in the tractor’s drive and transmission system. …”
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Discovery of novel VEGFR2 inhibitors against non-small cell lung cancer based on fingerprint-enhanced graph attention convolutional network by Zixiao Wang, Lili Sun, Yu Xu, Jing Huang, Fang Yang, Yu Chang

“…This study aims to develop a novel fingerprint-enhanced graph attention convolutional network (FnGATGCN) model for predicting the activity of anti-NSCLC drugs. …”
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Network pharmacology and in silico approaches to uncover multitargeted mechanism of action of Zingiber zerumbet rhizomes for the treatment of idiopathic pulmonary fibrosis [version... by Bharath Harohalli Byregowda, Usha Yogendra Nayak, Gayathri S, Krishnaprasad Baby, Yogendra Nayak, Swastika Maity, Shaik Mohammad Fayaz

“…Molecular docking and dynamics were conducted as an empirical study to investigate the mechanism explored through network pharmacology in relation to the hub targets. …”
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Nearest-Better Network-Assisted Fitness Landscape Analysis of Contaminant Source Identification in Water Distribution Network by Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang

“…This study addresses this gap by conducting a comprehensive fitness landscape analysis of CSWIDN using the Nearest-Better Network (NBN), the only applicable method for mixed-encoding problems. …”
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Computational Intelligence of Numerical Dynamics of Nanofluidic Model by Tahir Nawaz Cheema, Ali Raza, Maysaa Elmahi Abd Elwahab, Ayesha Shabbir, Sharafat Ali, Emad Fadhal

“…This study investigates the flow dynamics of a nanofluid by modeling a system of nonlinear ordinary differential equations (ODEs). …”
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Modified and unmodified Graphite/unsaturated polyester resin composites: thermal and mechanical behavior by N. Yavari, M. Poorabdollah, L. Rajabi

“…In this study, unmodified graphite and graphite modified with a silane agent were used to ameliorate the thermal conductivity coefficient and dynamical properties of unsaturated polyester resin. …”
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MEFSR-GAN: A Multi-Exposure Feedback and Super-Resolution Multitask Network via Generative Adversarial Networks by Sibo Yu, Kun Wu, Guang Zhang, Wanhong Yan, Xiaodong Wang, Chen Tao

“…It processes low-resolution under- and over-exposed images to produce high-resolution high dynamic range (HDR) images. These images are evaluated by two discriminator networks, driving the generator to generate realistic high-resolution HDR outputs through multi-goal training. …”
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