Stress in autism (STREAM): A study protocol on the role of circadian activity, sleep quality and sensory reactivity. by Clara C Gernert, Christine M Falter-Wagner, Valdas Noreika, Barbara Jachs, Nazia Jassim, Kathryn Gibbs, Joaquim Streicher, Hannah Betts, Tristan A Bekinschtein

“…Indeed, the prevalence of manifold circadian disruptions and sleep difficulties in autism, alongside stress related to sensory overload, forms an integral part of autistic symptomatology. …”
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Inheritance of ornamental traits in bird cherry families with the cultivar ‘Nezhnost’ in their pedigree by A. V. Lokteva, V. S. Simagin

“…Our data indicate a manifold composition of the gene complexes controlling the manifestation of both the pink flower trait and spring red leaves.Conclusion. …”
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A Review of Model Order Reduction Methods for Large-Scale Structure Systems by Kuan Lu, Kangyu Zhang, Haopeng Zhang, Xiaohui Gu, Yulin Jin, Shibo Zhao, Chao Fu, Yongfeng Yang

“…This paper focuses on the model order reduction of high-dimensional complex systems and reviews basic theories, well-posedness, and limitations of common methods of the model order reduction using the following methods: center manifold, Lyapunov–Schmidt (L-S), Galerkin, modal synthesis, and proper orthogonal decomposition (POD) methods. …”
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Thinking through the tool: collaborative archaeological bodywork in immersive virtual reality by Giles Spence Morrow, Steven A. Wernke

“…The implications of this isometry between archaeological objects of analysis and emerging capabilities to interact with them through digital surrogates in the present are manifold. By enabling interaction with objects and contexts in immersive virtual space, such observational experiences create in silico engagements that are repeatable, distributable, and collaborative. …”
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Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system by Jiayi Qiu, Yatao Shen, Ziwen Gu, Zijian Wang, Wenmei Li, Ziqian Tao, Ziwen Guo, Yaqun Jiang, Chun Huang

“…Then, temporal‐preserving embedding (TPE) is proposed to extract the underlying temporal manifold structure from the decomposed IMFs. Finally, the extracted features are mapped into the broad learning system (BLS) to establish an accurate prediction model. …”
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Wie wissenschaftlich muss Musiktheorie sein?. Chancen und Herausforderungen musikalischer Korpusforschung by Markus Neuwirth, Martin Rohrmeier

“…The reasons for this delayed acceptance are manifold. Among other things, they are rooted in a deep skepticism toward applying statistical-quantitative methods to music as an object of art. …”
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Division-selection transfer learning for prediction based dynamic multi-objective optimization by Hongye Li, Fan Liang, Yulu Liu, Quanheng Zheng, Kunru Guo

“…Subsequently, for the elite solutions, individual TL that incorporates local information for optimization and transfer is used, while the non-elite solutions are handled with manifold TL method to obtain the overall data distribution and understand the internal structure. …”
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Mathematical analysis of a model for HIV-malaria co-infection by Zindoga Mukandavire, Abba B. Gumel, Winston Garira, Jean Michel Tchuenche

“…It isalso shown, using centre manifold theory, that the full HIV-malariaco-infection model undergoes backward bifurcation. …”
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Prompt injection attacks on vision language models in oncology by Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather

“…Specifically, we show that embedding sub-visual prompts in manifold medical imaging data can cause the model to provide harmful output, and that these prompts are non-obvious to human observers. …”
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Cooperation-Based Modeling of Sustainable Development: An Approach from Filippov’s Systems by Jorge A. Amador, Johan Manuel Redondo, Gerard Olivar‐Tost, Christian Erazo

“…Since human decisions do not occur in a continuum, but rather through jumps, the mathematical model of cooperation used is a Filippov System, in which the dynamics could involve two switching manifolds of codimension one and one switching manifold of codimension two. …”
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Can cattle blood be transformed into an organic source of nitrogen? by Md. Islam, S. M. Zaman, Md. Rasel, Jagadish Joardar

“…Conclusion:  The outcome of the study suggests that blood meal can be used as an organic source of nitrogen and the application of blood meal has manifold benefits if applied at a judicious rate preferably less than or equal to 5 t/ha.…”
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Exploring Income Convergence for Central and South Asia by Hameed Gul, Ihtisham ul Haq, Dilawar Khan, Piratdin Allayarov, Khurram Abbas

“…The implications of this study are manifold. It recommends that Central and South Asian countries ensure economic, political and social cooperation with one another. …”
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Distinguishing classes of neuroactive drugs based on computational physicochemical properties and experimental phenotypic profiling in planarians. by Danielle Ireland, Christina Rabeler, Sagar Rao, Rudy J Richardson, Eva-Maria S Collins

“…We used principal coordinate analysis or uniform manifold approximation and projection, each coupled with linear discriminant analysis, and two types of machine learning models-artificial neural net ensembles and support vector machines. …”
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Vascular Injuries Due to Penetrating Missile Trauma in Anti-Terrorism Ops by Rishi Dhillan, Alok Bhalla, Sushil Kumar Jha, Hakam Singh, Aman Arora

“…A team approach with vascular, orthopaedic, general surgeons, and critical care anaesthesiologists all aboard improve the outcomes manifold. Use of tourniquets and early fasciotomies have been emphasized as is the use of native veins as the bypass conduit. …”
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The care needs of persons with oropharyngeal dysphagia and their informal caregivers: A scoping review. by Aurora Ninfa, Valeria Crispiatico, Nicole Pizzorni, Marta Bassi, Giovanni Casazza, Antonio Schindler, Antonella Delle Fave

“…<h4>Conclusions</h4>The recurrence of personal and social needs besides physical ones highlighted the manifold impact of OD on patients' and caregivers' lives. …”
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Defect Detection in Concrete Structures Based on Characteristics of Hammer Reaction Force and Apparent Stiffness of Concrete by Koki Shoda, Jun Younes Louhi Kasahara, Qi An, Atsushi Yamashita

“…For dimensionality reduction, we use Uniform Manifold Approximation and Projection to accurately embed data clusters near decision boundaries in a low-dimensional space. …”
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Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks by Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li, Arindam Basu

“…Compared to other approaches, we demonstrate manifold increase in area-efficiency, energy-efficiency and throughput due to the in-memory, programmable ramp generator that removes digital processing overhead.…”
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Impact of Spatial Hole Burning and Linewidth Enhancement Factor on Distributed-Feedback Quantum Cascade Lasers: A Comprehensive Design Analysis by Sara Zaminga, Lorenzo Columbo, Carlo Silvestri, Mariangela Gioannini, Frederic Grillot

“…The purpose is to supply designers with a guideline to achieve the optimal structure for efficient single-mode emission, which is a highly required specification in manifold applications, like free-space optical communication. …”
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Assessment on Performance and Emission Characteristics of the CRDI Engine Fueled with Ethanol/Diesel Blends in Addition to EGR by C. Dineshkumar, P. D. Jeyakumar, C. K. Arvinda Pandian, N. Rajmohan, P. V. Elumalai, N. Kamesh, Saboor Shaik, Mohsen Sharifpur, Nima Khalilpoor

“…The blend E10D90 with 20% EGR shows the highest BTE of 8.87% when compared with base fuel, due to proper fuel mixture taking place in the inlet manifold. The results indicate that the engine runs smoothly, and E30D70 has chosen an optimum blend. …”
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An In-Depth Study of Personalized Anesthesia Management Models in Gastrointestinal Endoscopy Based on Multimodal Deep Learning by Hanqi Shi, Hongyu Wang, Xibing Ding, Zheng Dang

“…Based on these findings, a multimodal deep learning model was developed that integrates Long Short-Term Memory (LSTM) networks, hyperparameter geometric manifold optimization (GMO) methods and data-driven sparse matrix classifiers. …”
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