Effectiveness of Pseudomonas aeruginosa type VI secretion system relies on toxin potency and type IV pili-dependent interaction. by Marta Rudzite, Sujatha Subramoni, Robert G Endres, Alain Filloux

“…Pseudomonas aeruginosa possesses 3 distinct T6SSs and a set of more than 20 toxic effectors with diverse functions including disruption of cell wall integrity, degradation of nucleic acids or metabolic impairment. …”
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Characterization of a long-term mouse primary liver 3D tissue model recapitulating innate-immune responses and drug-induced liver toxicity. by Ramona Nudischer, Kasper Renggli, Andreas Hierlemann, Adrian B Roth, Cristina Bertinetti-Lapatki

“…Animal in vitro models enable back- and forward translation of in vitro and in vivo findings, bridge the gap between rodent in vivo and human in vitro scenarios, and ultimately support the interpretation of data generated with preclinical species and humans. Since mice are often used in drug development and physiologically relevant in vitro systems are lacking, we established, for the first time, a mouse liver model that encompasses primary parenchymal and non-parenchymal cells with preserved viability and functionality over three weeks. …”
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Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

“…The target function, initially dependent on three variables, has been transformed into a function of a single variable. …”
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Determining the Effect of Natural Selection on Linked Neutral Divergence across Species. by Tanya N Phung, Christian D Huber, Kirk E Lohmueller

“…We show that neutral divergence between closely related species (e.g. human-primate) is negatively correlated with functional content and positively correlated with human recombination rate. …”
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Adaptive GCN and Bi-GRU-Based Dual Branch for Motor Imagery EEG Decoding by Yelan Wu, Pugang Cao, Meng Xu, Yue Zhang, Xiaoqin Lian, Chongchong Yu

“…The Adaptive GCN, specifically designed for the MI-EEG context, captures functional connectivity between channels more effectively than conventional GCN models, enabling accurate spatial–spectral feature extraction. …”
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SK-TreePCN: Skeleton-Embedded Transformer Model for Point Cloud Completion of Individual Trees from Simulated to Real Data by Haifeng Xu, Yongjian Huai, Xun Zhao, Qingkuo Meng, Xiaoying Nie, Bowen Li, Hao Lu

“…Among the various point cloud completion methods evaluated, SK-TreePCN exhibits outstanding performance regarding the Chamfer distance (CD) and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mn>1</mn></mrow></semantics></math></inline-formula> Score. The generated point clouds display a more natural appearance and clearer branches. …”
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A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm by Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li

“…Objective function models and their constraints based on wind, photovoltaic, energy storage and fuel power generation are presented. …”
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Integrating Imagination and Design Thinking: Pedagogical Approaches for Postgraduate Creativity by Rahat Varma

“…Examining the function and possible effects of the "Imaginative Design Thinking" courses created for postgraduate Master of Design (M.Des) students, this paper places its inception within the changing context of higher education. …”

Nuclear lipid signalling Symposium by FA Manzoli

“…It was tempting to believe that inositol phospholipids and other phospholipids capable of generating signals had already revealed their most important secrets, but the discovery of an “autonomous” nuclear lipid signalling system could really pave the way for more and unexpected features. …”
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Emphysematous pyelonephritis: classification, management, and prognosis by Shu-Yu Wu, Stephen Shei-Dei Yang, Shang-Jen Chang, Chun-Kai Hsu

“…They defined EPN into four different class (1–4), with the higher number the more severe disease. Optimal EPN treatment is controversial, with emergent nephrectomy suggested during early studies, whereas more recent evidence favors more conservative approaches. …”
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Secondary Frequency Control of Islanded Microgrid Based on Deep Reinforcement Learning by Li WANG, Yuxiang JIANG, Xiangjun ZENG, Bin ZHAO, Junhao LI

“…The results show that, compared to traditional PID control and Q-Learning-based controllers, the proposed method achieves more stable secondary frequency control and adapts to coordinate the power allocation of distributed generation units according to their capacities, ensuring the stable operation of the system.…”
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Use of relative Patlak plot Ki′ images as an alternative to standard Patlak plot Ki images in clinical practice by Masatoyo Nakajo, Hirofumi Kawakami, Yutaro Kiyao, Mitsuho Hirahara, Akie Katsuki, Atushi Tani, Yukari Eizuru, Koji Takumi, Kiyohisa Kamimura, Fumiko Kanzaki, Takashi Yoshiura

“…Standard Patlak Ki imaging requires prolonged dynamic acquisition and full arterial input function (IF), limiting clinical feasibility. The relative Patlak plot omits the early-phase IF and focuses on the linear phase of tracer kinetics using only late dynamic data and a partially sampled IF. …”
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Application of Electrochemical Impedance Spectroscopy for Diagnostics in Fuel Cells, Electrolyzers, and Batteries by Chanho Kim, Inyoung Jang

“…Fuel cells are recognized for their ability to generate electricity from hydrogen and oxygen, with water as the only byproduct, and can also function in reverse as energy storage systems by producing hydrogen. …”
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Synthetic Microwave Focusing Techniques for Medical Imaging: Fundamentals, Limitations, and Challenges by Younis M. Abbosh, Kamel Sultan, Lei Guo, Amin Abbosh

“…Other approaches replace the simplified Green’s function with more representative functions. While these focusing techniques offer benefits like speed and low computational requirements, they face significant ongoing challenges in real-life applications due to their oversimplified linear solutions to the complex problem of non-linear medical microwave imaging. …”
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Artificial Intelligence as Assessment Tool in Occupational Therapy: A Scoping Review by Christos Kokkotis, Ioannis Kansizoglou, Theodoros Stampoulis, Erasmia Giannakou, Panagiotis Siaperas, Stavros Kallidis, Maria Koutra, Christina Koutra, Anastasia Beneka, Evangelos Bebetsos

“…Occupational therapy (OT) is vital in improving functional outcomes and aiding recovery for individuals with long-term disabilities, particularly those resulting from neurological diseases. …”
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The Possibility of Object-Oriented Film Philosophy by Bolšakovas Edgaras

“…It allows for a deeper understanding of how films function as objects and the ways they generate meaning in relation to viewers.…”
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Defect Engineering and Dopant Properties of MgSiO₃ by Kowthaman Pathmanathan, Poobalasuntharam Iyngaran, Poobalasingam Abiman, Navaratnarajah Kuganathan

“…Additionally, MgO Schottky defects are viable, requiring only slightly more energy to form than anti-site defects. Regarding the solubility of alkaline earth dopant elements, Ca preferentially incorporates into the Mg site without generating charge-compensating defects, while Zn exhibits a similar behavior among the 3D block elements. …”
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Scalable deoxygenative alkynylation of alcohols via flow photochemistry by Pin Xu, Cong Ma

“…Compared to batch reactions, the strategy using flow photochemistry is practical and efficient to complete the reaction in relatively short time with good yields. A wide range of functional groups were tolerated. The broad application of this method for alkyne synthesis in industry settings is anticipated, supported by the potential in late-stage functionalization of biomolecules and gram-scale synthesis.…”
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Occurrence and potential mechanism of holin-mediated non-lytic protein translocation in bacteria by Thomas Brüser, Denise Mehner-Breitfeld

“…However, there are more and more examples known for non-lytic holin-dependent secretion of proteins by bacteria, indicating that holins somehow can transport proteins without causing large membrane lesions. …”
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Low-frequency rTMS modulates small-world network properties in an AVH-related brain network in schizophrenia by Lin Zhang, Li Guo, Xiaohui Liu, Jing Han, Yuanqiang Zhu, Chaozong Ma, Ye Li, Weiliang Ye

“…Furthermore, most previous studies have analyzed whole-brain networks, lacking specificity regarding disease-relevant circuits.ObjectiveThis study aimed to investigate how low-frequency rTMS modulates the small-world network properties of a refined AVH-related network composed of 35 brain regions specifically implicated in hallucination generation and rTMS treatment effects, thereby providing a more targeted perspective on network reorganization. …”
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