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Thermal state structure in the Tavis-Cummings model and rapid simulations in mesoscopic quantum ensembles

Physical Review Research 2025年第2期7卷 023155-023155页

作者： Lane G. Gunderman Troy W. Borneman David G. Cory The Institute for Quantum Computing University of Waterloo Waterloo Ontario N2L 3G1 Canada Department of Physics and Astronomy University of Waterloo Waterloo Ontario N2L 3G1 Canada Present address : Department of Electrical and Computer Engineering University of Illinois Chicago Illinois 60607 USA. High Q Technologies Inc. Waterloo Ontario N2L 3G1 Canada Department of Chemistry University of Waterloo Waterloo Ontario N2L 3G1 Canada

Hybrid quantum systems consisting of a collection of N spin-1/2 particles uniformly interacting with an electromagnetic field, such as one confined in a cavity, are important for the development of quantum information processors and will be useful for metrology, as well as tests of collective behavior. Such systems are often modeled by the Tavis-Cummings model, and having an accurate understanding of the thermal behaviors of this system is needed to understand their behavior in realistic environments. We quantitatively show in this work that the Dicke subspace approximation is at times invoked too readily. Specifically, we show that there is a temperature above which the degeneracies in the system become dominant and the Dicke subspace is minimally populated. This transition occurs at a lower temperature than previously considered. In such a temperature regime, the key constants of the motion are the total excitation count between the spin system and cavity and the collective angular momentum of the spin system. These enable perturbative expansions for thermal properties in terms of the energy shifts of dressed states, called Lamb shifts herein. They enable efficient numeric methods that scale in terms of the size of the spin system. Notably the runtime to obtain certain parameters of the system scales as O(N), and is thus highly efficient. These provide methods for approximating, and bounding, properties of these systems as well as characterizing the dominant population regions, including under perturbative noise. In the regime of stronger spin-spin coupling, the perturbations outweigh the expansion series terms, and inefficient methods must likely be employed, removing the computational efficiency of simulating such systems. The results in this work can also be used for related systems such as coupled-cavity arrays, cavity-mediated coupling of collective spin ensembles, and collective spin systems.

关键词： Qubits

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Corrigendum to "Mode of delivery predicts postpartum maternal leukocyte telomere length" [Eur. J. Obstetr. Gynecol. Reprod. Biol. 300 (2024) 224-229]

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European journal of obstetrics, gynecology, and reproductive biology 2025年 304卷 35页

作者： Danielle M Panelli Jonathan A Mayo Ronald J Wong Martin Becker Dorien Feyaerts Ivana Marić Erica Wu Ian H Gotlib Brice Gaudillière Nima Aghaeepour Maurice L Druzin David K Stevenson Gary M Shaw Katherine Bianco Division of Maternal-Fetal Medicine and Obstetrics Department of Obstetrics and Gynecology Stanford University Stanford CA USA. Electronic address: dpanelli@stanford.edu. Division of Maternal-Fetal Medicine and Obstetrics Department of Obstetrics and Gynecology Stanford University Stanford CA USA. Department of Pediatrics Stanford University School of Medicine Stanford CA USA. Department of Anesthesiology Perioperative and Pain Medicine Stanford University School of Medicine Stanford CA USA Department of Computer Science and Electrical Engineering University of Rostock Germany Department of Biomedical Data Science Stanford University Stanford CA USA. Department of Anesthesiology Perioperative and Pain Medicine Stanford University School of Medicine Stanford CA USA. Department of Psychology Stanford University Stanford CA USA.

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Corrigendum to "T1 relaxation time callibration in magnetic resonance imaging using nanodiamond phantoms" [Phys Med 94 (2022) S119-S120/EPV029]

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Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 2022年 103卷 199页

作者： Monika Kosowska Anna Sękowska-Namiotko Agnieszka Sabisz Mateusz Ficek Małgorzata Szczerska Faculty of Telecommunications Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Bydgoszcz Poland. Electronic address: monika.kosowska@pbs.edu.pl. Gdańsk University of Technology Department of Metrology and Optoelectronics Faculty of Electronics Telecommunications and Informatics Gdansk Poland. Medical University of Gdansk 2nd Department of Radiology Gdansk Poland.

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Subanesthetic ketamine alters EEG signal complexity: Implications for treatment stratification in depression

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Journal of affective disorders 2025年 386卷 119477页

作者： Weng-Lam Chan Sebastian Olbrich Xinwen Jiang Haoyun Zhang Cheng-Teng Ip Martin Brunovsky Centre for Cognitive and Brain Sciences University of Macau Taipa Macau. Hospital for Psychiatry Psychotherapy and Psychosomatic University Zurich Zurich Switzerland. Centre for Cognitive and Brain Sciences University of Macau Taipa Macau Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Taipa Macau. Electronic address: chengtengip@um.edu.mo. National Institute of Mental Health Klecany Czech Republic Charles University Third Faculty of Medicine Prague Czech Republic.

Major depressive disorder, particularly its treatment-resistant form (TRD), poses significant treatment challenges. Ketamine, an N-methyl-d-aspartate receptor antagonist, has shown promise in rapidly alleviating depressive symptoms by influencing neuroplasticity and glutamatergic modulation, which are thought to influence brain activity complexity. In this placebo-controlled study, we examined the effects of subanesthetic doses of intravenous ketamine on EEG signal complexity in 24 MDD patients, 21 of whom had TRD. Treatment response was defined by a ≥ 33 % reduction in Montgomery-Åsberg Depression Rating Scale (MADRS) after ketamine administration. Patients underwent eyes-closed resting state EEG recording pre-, start-, end- and 24 h post-infusion, analyzed for temporospatial and spatiotemporal Lempel-Ziv complexity (LZC and LZC). Results indicated that ketamine significantly increased whole-brain LZC during infusion compared to placebo (sodium chloride 0.9 %) (16.90 % vs. -4.84 %, 95 % CI 4.29 to 39.18, p = 0.017). Elevated LZC at end-pre was associated with less short-term symptom improvement the following day. Conversely, lower pretreatment occipital LZC (0.33 vs. 0.46, 95 % CI 0.007 to 0.26, p = 0.040) predicted a favorable response to ketamine, supported by a logistic regression model with an ROC area of 0.75. No significant changes were observed in LZC, suggesting limited utility as a biomarker. In conclusion, occipital LZC could serve as an effective predictive biomarker for ketamine's therapeutic effects in MDD, with implications for patients with TRD. This underscores the potential of EEG complexity measures in stratifying treatment and enhancing our understanding of the neural impacts of ketamine in depressive disorders.

关键词： Biomarker EEG Ketamine Lempel-Ziv complexity MDD Treatment response

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Early changes in skin surface temperature predict body temperature increases in patients with fever: A pilot study

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Intensive & critical care nursing 2024年 83卷 103652页

作者： Yi-Ting Chung Chun-Yin Yeh Chang-Chun Chen Chao-Han Lai Yi-Hsuan Lin Chung-Ying Lin Yu-Chen Shu Nai-Ying Ko Department of Nursing National Cheng Kung University Tainan Taiwan. Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan. Department of Electrical and Computer Engineering The University of Arizona America. Department of Surgery National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan Department of Biochemistry and Molecular Biology College of Medicine National Cheng Kung University Tainan Taiwan. Office of Geriatric Hospital National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan. Institute of Allied Health Sciences College of Medicine National Cheng Kung University Tainan Taiwan. Department of Mathematics National Cheng Kung University Tainan Taiwan. Electronic address: ycshu@mail.ncku.edu.tw. Department of Nursing National Cheng Kung University Tainan Taiwan. Electronic address: nyko@mail.ncku.edu.tw.

OBJECTIVE:To investigate the correlation between body temperature and skin surface temperature in intensive care unit patients and to identify specific indicators of skin surface temperature for early fever detection. RESEARCH METHODOLOGY/DESIGN:This pilot study was a prospective, observational investigation conducted at National Cheng Kung University Hospital in Tainan, Taiwan. A total of 54 patients admitted to the Surgical Intensive Care Unit of a tertiary hospital between April and August 2020 were included. Patients utilized the wearable device HEARThremo to continuously monitor skin surface temperature and heart rate. Analysis of Variance was applied to identify the association of skin surface temperature with different body temperature groups. The comparison between skin surface temperature and fever over eight time intervals was studied using a generalized estimating equation. RESULTS:In 34 patients (63 %) with a fever (≥38 °C), skin surface temperature increased (P < 0.001) when body temperature increased. The maximum skin surface temperature was significantly associated with fever 180-210 min before the fever events occurred (OR: 2.22, 95 % CI: 1.30-3.80). The mean skin surface temperature was associated with fever 120-150 min before the fever events (OR: 8.70, 95 % CI: 2.08-36.36). CONCLUSIONS:Skin surface temperature can be an important early predictive sign before the onset of fever. Continuous temperature monitoring can detect fever early and initiate treatment in advance. This study serves as a preliminary exploration in this area, laying the groundwork for future comprehensive research. IMPLICATIONS FOR CLINICAL PRACTICE:Continuous monitoring of skin surface temperature empowers nurses to swiftly detect fever, transcending conventional methods. This proactive approach allows for the early identification of physiological abnormalities, facilitating the prompt initiation of further physical assessments and relevant examinations for early treatment comm

关键词： Body temperature Continuous monitoring Fever Skin surface temperature Wearable device

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Corrigendum to "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data" [Comput. Biol. Med. 17 (2024) 108216]

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computers in biology and medicine 2024年 173卷 108352页

作者： Nuno Miguel Rodrigues José Guilherme de Almeida Ana Sofia Castro Verde Ana Mascarenhas Gaivão Carlos Bilreiro Inês Santiago Joana Ip Sara Belião Raquel Moreno Celso Matos Leonardo Vanneschi Manolis Tsiknakis Kostas Marias Daniele Regge Sara Silva Nickolas Papanikolaou Computational Clinical Imaging Group Champalimaud Foundation Portugal LASIGE Faculty of Sciences University of Lisbon Portugal. Electronic address: nmrodrigues@fc.ul.pt. Computational Clinical Imaging Group Champalimaud Foundation Portugal. Radiology Department Champalimaud Clinical Center Champalimaud Foundation Lisbon Portugal. NOVA Information Management School (NOVA IMS) Universidade Nova de Lisboa Campus de Campolide 1070-312 Lisboa Portugal. Institute of Computer Science Foundation for Research and Technology Hellas (FORTH) GR-700 13 Heraklion Greece Department of Electrical and Computer Engineering Hellenic Mediterranean University GR-710 04 Heraklion Greece. Department of Electrical and Computer Engineering Hellenic Mediterranean University GR-710 04 Heraklion Greece Computational BioMedicine Laboratory (CBML) Institute of Computer Science Foundation for Research and Technology âĂŞ Hellas (FORTH) Heraklion Greece. Department of Radiology Candiolo Cancer Institute FPO-IRCCS Strada Provinciale 142 Km 3.95 Candiolo Turin 10060 Italy Department of Surgical Sciences University of Turin Turin 10124 Italy. LASIGE Faculty of Sciences University of Lisbon Portugal. Department of Radiology Royal Marsden Hospital Sutton UK.

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Retraction notice to "A strategic review on sustainable approaches in municipal solid waste management and energy recovery: Role of artificial intelligence, economic stability and life cycle assessment" [Bioresour. Technol. 379 (2023) 129044]

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Bioresource technology 2025年 421卷 132185页

作者： Rajendiran Naveenkumar Jayaraj Iyyappan Ravichandran Pravin Seifedine Kadry Jeehoon Han Raveendran Sindhu Mukesh Kumar Awasthi Samuel Lalthazuala Rokhum Gurunathan Baskar Biological Systems Engineering University of Wisconsin-Madison Madison WI 53706 United States Forest Products Laboratory USDA Forest Service Madison WI 53726 United States. Department of Biotechnology Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Thandalam Chennai 602107 India. Department of Biotechnology St. Joseph's College of Engineering Chennai 600119 India. Department of Applied Data Science Noroff University College Kristiansand Norway Artificial Intelligence Research Center (AIRC) Ajman University Ajman 346 United Arab Emirates Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon. Department of Chemical Engineering Pohang University of Science and Technology Pohang 37673 Republic of Korea. Department of Food Technology TKM Institute of Technology Kollam Kerala India. College of Natural Resources and Environment Northwest A&F University Yangling Shaanxi Province 712100 China. Department of Chemistry National Institute of Technology Silchar 788010 Assam India. Department of Biotechnology St. Joseph's College of Engineering Chennai 600119 India Department of Applied Data Science Noroff University College Kristiansand Norway. Electronic address: basg2002@***.

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A Scalable Deep Attention Mechanism of Instance Segmentation for the Investigation of Chromosome

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SLAS technology 2025年 100306页

作者： Neelam Umbreen Sara Ali Hasan Sajid Yasar Ayaz Shrooq Alsenan Yunyoung Nam So Yeon Kim Muhammad Baber Sial National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: neelamumbreen.phd@smme.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan Suzhou Industrial Park (SIP) Monash Research Institute of Science and Technology Monash University 8Q9C+R6W Suzhou Jiangsu China. School of Mechanical and Manufacturing Engineering (SMME) National University of Sciences and Technology (NUST) Islamabad NUST-COVENTRY Human-Robot Interaction (NC-HRI) Laboratory Pakistan Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: sarababer@smme.nust.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: hasan.sajid@smme.nust.edu.pk. Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: yasar@smme.nust.edu.pk. Information Systems Department College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia. Electronic address: shalsenan@pnu.edu.sa. Emotional and Intelligent Child Care Convergence Research Center Soonchunhyang University Asan 31538 Korea. Electronic address: ynam@sch.ac.kr. Department of Artificial Intelligence Department of Software and Computer Engineering Ajou University. Electronic address: jebi1771@ajou.ac.kr. School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China. Electronic address: babersial@***.

Chromosome segmentation in metaphase images is a critical yet challenging task in cytogenetics and genomics due to the inherent complexity, variability in chromosome shapes, and the scarcity of high-quality annotated datasets. This study proposes a robust instance segmentation framework that integrates an automated annotation pipeline with an enhanced deep learning architecture to address these challenges. A novel dataset is introduced, comprising metaphase images and corresponding karyograms, annotated with precise instance segmentation information across 24 chromosome classes in COCO format. To overcome the labor-intensive manual annotation process, a feature-based image registration technique leveraging SIFT and homography is employed, enabling the accurate mapping of chromosomes from karyograms to metaphase images and significantly improving annotation quality and segmentation performance. The proposed framework includes a custom Mask R-CNN model enhanced with an Attention-based Feature Pyramid Network (AttFPN), spatial attention mechanisms, and a LastLevelMaxPool block for superior multi-scale feature extraction and focused attention on critical regions of the image. Experimental evaluations demonstrate the model's efficacy, achieving a mean average precision (mAP) of 0.579 at IoU = 0.50:0.95, surpassing the baseline Mask R-CNN and Mask R-CNN with AttFPN by 3.94% and 5.97% improvements in mAP and AP50, respectively. Notably, the proposed architecture excels in segmenting small and medium-sized chromosomes, addressing key limitations of existing methods. This research not only introduces a state-of-the-art segmentation framework but also provides a benchmark dataset, setting a new standard for chromosome instance segmentation in biomedical imaging. The integration of automated dataset creation with advanced model design offers a scalable and transferable solution, paving the way for tackling similar challenges in other domains of biomedical and cytogenetic imagi

关键词： Chromosome segmentation Instance segmentation, cytogenetics Mask R-CNN attention mechanism biomedical imaging multi-scale feature fusion

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Integrative characterization of MYC RNA-binding function

Cell genomics

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Cell genomics 2025年 100878页

作者： Sihan Li Zehua Wang Xiaofei Wang Yifei Wang Dhamotharan Pattarayan Yu Zhang Phuong Nguyen Avishek Bhuniya Yuang Chen Haozhe Huang Yixian Huang Luxuan Wang Junmei Wang Song Li Min Zhang Yang Liu Nara Lee Da Yang Center for Pharmacogenetics and Department of Pharmaceutical Sciences University of Pittsburgh Pittsburgh PA USA. Center for Pharmacogenetics and Department of Pharmaceutical Sciences University of Pittsburgh Pittsburgh PA USA. Electronic address: zew11@pitt.edu. Department of Medicine University of Pittsburgh Pittsburgh PA USA UPMC Hillman Cancer Center University of Pittsburgh Pittsburgh PA USA Department of Bioengineering Department of Electrical and Computer Engineering Cancer Center at Illinois Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign Urbana IL USA. Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center School of Pharmacy University of Pittsburgh Pittsburgh PA USA. Department of Microbiology and Molecular Genetics University of Pittsburgh Pittsburgh PA USA. Center for Pharmacogenetics and Department of Pharmaceutical Sciences University of Pittsburgh Pittsburgh PA USA Department of Computational and Systems Biology University of Pittsburgh Pittsburgh PA USA. Electronic address: dyang@pitt.edu.

Emerging evidence suggests that MYC interacts with RNAs. Here, we performed an integrative characterization of MYC as an RNA-binding protein in six cell lines. We found that MYC binds to a myriad of RNAs with high affinity for guanosine-rich RNAs. Global and specific depletion of RNAs reduces MYC chromatin occupancy. Mechanistically, two highly conserved sequences, amino acids 355-357 KRR and 364-367 RQRR, within the basic region of MYC are necessary for its RNA binding. Notably, alanine substitution of KRR abolishes MYC's RNA-binding ability both in vitro and in vivo, without affecting its ability to bind E-box DNA as part of the MYC:MAX dimer in vitro. The loss of RNA-binding function decreases MYC chromatin binding in vivo and attenuates its ability to promote gene expression, cell-cycle progression, and proliferation. Our study lays a foundation for future investigation into the role of RNAs in MYC-mediated transcriptional activation and oncogenic functions.

关键词： CRISPR-Display MYC RNA-binding protein (RBP) TF RNA binding arginine-rich motif eCLIP enhancer RNA gene regulation guanosine-rich RNA rChIP

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Microfabricated intracortical extracellular matrix-microelectrodes for improving neural interfaces

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Microsystems & Nanoengineering 2018年第1期4卷 141-155页

作者： Wen Shen Suradip Das Flavia Vitale Andrew Richardson Akshay Ananthakrishnan Laura A.Struzyna Daniel P.Brown Naixin Song Murari Ramkumar Timothy Lucas DKacy Cullen Brian Litt Mark G.Allen Krishna P.Singh Center for Nanotechnology University of PennsylvaniaPhiladelphiaPA 19104USA Department of Neurosurgery Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA 19104USA Department of Neurology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA 19104USA Department of Mechanical Engineering and Applied Mechanics School of Engineering and Applied ScienceUniversity of PennsylvaniaPhiladelphiaPA 19104USA Department of Bioengineering School of Engineering and Applied ScienceUniversity of PennsylvaniaPhiladelphiaPA 19104USA Department of Electrical and Systems Engineering School of Engineering and Applied ScienceUniversity of PennsylvaniaPhiladelphiaPA 19104USA Department of Materials Science and Engineering School of Engineering and Applied ScienceUniversity of PennsylvaniaPhiladelphiaPA 19104USA Present address:Department of Mechanical and Aerospace Engineering University of Texas at ArlingtonArlingtonTX 76019USA

Intracortical neural microelectrodes,which can directly interface with local neural microcircuits with high spatial and temporal resolution,are critical for neuroscience research,emerging clinical applications,and brain computer interfaces(BCI).However,clinical applications of these devices remain limited mostly by their inability to mitigate inflammatory reactions and support dense neuronal survival at their *** we report the development of microelectrodes primarily composed of extracellular matrix(ECM)proteins,which act as a bio-compatible and an electrochemical interface between the microelectrodes and physiological *** ECM-microelectrodes are batch fabricated using a novel combination of micro-transfer-molding and excimer laser micromachining to exhibit final dimensions comparable to those of commercial silicon-based *** are further integrated with a removable insertion stent which aids in intracortical *** from electrochemical models and in vivo recordings from the rat’s cortex indicate that ECM encapsulations have no significant effect on the electrochemical impedance characteristics of ECM-microelectrodes at neurologically relevant ***-microelectrodes are found to support a dense layer of neuronal somata and neurites on the electrode surface with high neuronal viability and exhibited markedly diminished neuroinflammation and glial scarring in early chronic experiments in rats.

关键词： markedly neural matrix

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