Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data by Vasiliki (Vicky) Bikia, Dionysios Adamopoulos, Dionysios Adamopoulos, Dionysios Adamopoulos, Marco Roffi, Marco Roffi, Georgios Rovas, Stéphane Noble, Stéphane Noble, François Mach, François Mach, Nikolaos Stergiopulos

“…Stroke volume (SV) is a major indicator of cardiovascular function, providing essential information about heart performance and blood flow adequacy. …”
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The Effect of Different Processing Methods on Metabolite Profiles by Comparative Metabolomics in Kernels and Sprouted Seeds of Foxtail Millet by Lingda Han, Qi Li, Xiaowen Wang

“…The 16 h stage increased secondary antioxidant metabolites like flavonoids, and the 24 h germination generated more functional components such as sulfur-containing metabolites. …”
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Investigating age-related muscle force adaptations in males and females during sit-to-walk transition motion using EMG-informed modeling by Zakia Hussain, Alpha Agape Gopalai, Siti Anom Ahmad, Mazatulfazura Sf Binti Salim, Darwin Gouwanda, Pei-Lee Teh

“…Moreover, females exhibited more pronounced age-related muscle force changes than males during gait initiation. …”
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Acupressure for older people with cognitive impairment: a systematic review and meta-analysis of randomized controlled trials by Hongkun Zhang, Luwen Zhu, Luwen Zhu, Minmin Wu, Wenjing Song, Jinting Li, Qiang Tang, Jiongliang Zhang

“…More studies on acupressure are needed to generate stronger and more robust evidence.Systematic review registrationPROSPERO, identifier: CRD42024556579.…”
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A comparative survey of the influence of small self-cleaving ribozymes on gene expression in human cell culture by Dennis Kläge, Elisabeth Müller, Jörg S. Hartig

“…We were able to identify functional structures suited for aptazyme design and generated highly efficient hammerhead ribozyme variants originating from the human genome. …”
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A progress in the inverse matrix method in QCD sum rules by Zhen-Xing Zhao, Yi-Peng Xing, Run-Hui Li

“…Considering that the narrow-width approximation may still be a good approximation, we separate the ground state from the spectral density. We then follow the general steps of the inverse matrix method to extract physical quantities such as decay constants that we may be more interested in.…”
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About the Gibbs-Appel equations for multibody systems by Nguyen Van Khang

“…The form proposed in this paper seems to be more clear and suitable for automatic generation of dynamical equations of motion. …”
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Differences in neuronal ciliation rate and ciliary content revealed by systematic imaging-based analysis of hiPSC-derived models across protocols by Walther Haenseler, Melanie Eschment, Melanie Eschment, Beth Evans, Marta Brasili, Marta Brasili, Joana Figueiro-Silva, Fee Roethlisberger, Fee Roethlisberger, Affef Abidi, Affef Abidi, Darcie Jackson, Martin Müller, Martin Müller, Sally A. Cowley, Ruxandra Bachmann-Gagescu, Ruxandra Bachmann-Gagescu, Ruxandra Bachmann-Gagescu, Ruxandra Bachmann-Gagescu

“…Interestingly, we found that while GPR161 signal almost completely disappeared from cilia upon Sonic hedgehog (SHH) stimulation in NSCs and immature neurons, this was not the case in more mature neurons, suggesting a possible developmental time window for cilia-dependent SHH signaling.ConclusionTaken together, our results provide a systematic description of cilia in hiPSC-derived neuronal cells generated with different protocols, underscoring the importance of selecting the optimal model system and controls for investigating primary cilia in hiPSC-derived neuronal cells.…”
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A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels by Tao Jin, Jiaming Liu

“…The use of the sparsemax function instead of the softmax function for dynamic routing within the Capsule Network directs the network’s focus more on capsules contributing significantly to the final output, reducing the impact of noise and redundant information, and further improving the classification performance. …”
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Le mari de Jill Biden l’a emporté sur le mari de Melania : la construction référentielle dans la presse people sur Internet by Mathilde Salles

“…Many definite descriptions, such as Jill Biden's husband to designate Joe Biden and Melania's husband to designate Donald Trump, appear unrelated to the subject matter of the articles, and sometimes in contexts where a personal pronoun would be more appropriate than a nominal expression. We first point out how much these definite descriptions deviate from the ordinary uses of highly specified referring expressions in general and definite descriptions in particular and what risks some of them, falling within the category of Milner's “presuppositional anaphors”, may present for the good referential interpretation. …”
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Auditory-Cortex Short-Term Plasticity Induced by Selective Attention by Iiro P. Jääskeläinen, Jyrki Ahveninen

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Analyses of the redistribution of work following cardiac resynchronisation therapy in a patient specific model. by Steven Alexander Niederer, Pablo Lamata, Gernot Plank, Phani Chinchapatnam, Matt Ginks, Kawal Rhode, Christopher Aldo Rinaldi, Reza Razavi, Nicolas Peter Smith

“…Regulation of regional work is essential for efficient cardiac function. In patients with heart failure and electrical dysfunction such as left branch bundle block regional work is often depressed in the septum. …”
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The Arctan-X Family of Distributions: Properties, Simulation, and Applications to Actuarial Sciences by Ibrahim Alkhairy, M. Nagy, Abdisalam Hassan Muse, Eslam Hussam

“…The purpose of this paper is to investigate a new family of distributions based on an inverse trigonometric function known as the arctangent function. In the context of actuarial science, heavy-tailed probability distributions are immensely beneficial and play an important role in modelling data sets. …”
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Differences in demographics and clinical outcomes in older, middle-aged, and younger adults with low back pain receiving chiropractic care by L. A. Hansen, J. Hartvigsen, R. K. Jensen

“…Baseline disability, depression, self-perceived general health, and MSK comorbidities were more consistently linked to higher disability scores across all follow-up time points.…”
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Recovery of Bioactive Peptides from Food Wastes and Their Bioavailability Properties by Ahmet Görgüç, Esra Gençdağ, Fatih Mehmet Yılmaz

“…Ensuring the correct and efficient use and recycling of wastes having high protein content and generated throughout the food production and supply chain is becoming more important both in our country and all over the world. …”
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The influence of intermittent venovenous hemodiafiltration on the course of acute kidney injury in multiple trauma victims by V.M. Dubyna, O.V. Kravets

“…We investigated the levels of total creatine kinase and myoglobin, indicators of kidney function, frequency of vasopressor support, indicators of general blood analysis, liver complex, coagulogram, acid-base and gas composition of blood. …”
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New Travelling Wave Solutions for Sine-Gordon Equation by Yunchuan Sun

“…We propose a method to deal with the general sine-Gordon equation. Several new exact travelling wave solutions with the form of JacobiAmplitude function are derived for the general sine-Gordon equation by using some reasonable transformation. …”
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G-TS-HRNN: Gaussian Takagi–Sugeno Hopfield Recurrent Neural Network by Omar Bahou, Mohammed Roudani, Karim El Moutaouakil

“…For each neuron, the G-TS-HRNN associates an input fuzzy variable of <i>d</i> values, described by an appropriate Gaussian membership function that covers the universe of discourse. To build an instance of G-TS-HRNN(s) of size <i>s</i>, we generate <i>s</i> n-uplets of fuzzy values that present the premise of the Takagi–Sugeno system. …”
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Surface-Related Multiple Suppression Based on Field-Parameter-Guided Semi-Supervised Learning for Marine Data by Jiao Qi, Siyuan Cao, Zhiyong Wang, Yankai Xu, Qiqi Zhang

“…The USNM is essentially an optimization operator that refines the underlying nonlinear mapping relationship between primaries and full wavefield data using the local wavefield feature loss function, thereby obtaining more accurate prediction results with respect to primaries. …”
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Numerical Solutions to the Variational Problems by Dijkstra’s Path-Finding Algorithm by Thanaporn Arunthong, Laddawan Rianthakool, Khanchai Prasanai, Chakrit Na Takuathung, Sakchai Chomkokard, Wiwat Wongkokua, Noparit Jinuntuya

“…By interpreting a variational problem of finding the function that minimizes a functional integral as a shortest path finding, we can apply the shortest path-finding algorithm to numerically estimate the optimal function. …”
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