bluuebunny/crossref_metadata_2025_split huggingface dataset:
Postsynaptic plasticity of Purkinje cells in mice is determined by molecular identity
Authors: Voerman Stijn , Urbanus Bastiaan H. A. , Schonewille Martijn , White Joshua J. , De Zeeuw Chris I. 
Published: December 2022

AbstractCerebellar learning is expressed as upbound or downbound changes in simple spike activity of Purkinje cell subpopulations, but the underlying mechanism remains enigmatic. By visualizing murine Purkinje cells with different molecular identities, we demonstrate that the potential for induction of long-term depression is prominent in downbound and minimal in the upbound subpopulation. These differential propensities depend on the expression profile, but not on the synaptic inputs, of the individual Purkinje cell involved, highlighting the functional relevance of intrinsic properties for memory formation.
The oocyte cumulus complex regulates mouse sperm migration in the oviduct
Authors: Wang Zhijuan , Wei Hongwei , Wu Zhanying , Zhang Xiaodan , Sun Yanli , Gao Longwei , Zhang Wenqing , Su You-Qiang , Zhang Meijia 
Published: December 2022

AbstractAs the time of ovulation draws near, mouse spermatozoa move out of the isthmic reservoir, which is a prerequisite for fertilization. However, the molecular mechanism remains unclear. The present study revealed that mouse cumulus cells of oocytes–cumulus complexes (OCCs) expressed transforming growth factor-β ligand 1 (TGFB1), whereas ampullary epithelial cells expressed the TGF-β receptors, TGFBR1 and TGFBR2, and all were upregulated by luteinizing hormone (LH)/human chorionic gonadotropin (hCG). OCCs and TGFB1 increased natriuretic peptide type C (NPPC) expression in cultured ampullae via TGF-β signaling, and NPPC treatment promoted spermatozoa moving out of the isthmic reservoir of the preovulatory oviducts. Deletion of Tgfb1 in cumulus cells and Tgfbr2 in ampullary epithelial cells blocked OCC-induced NPPC expression and spermatozoa moving out of the isthmic reservoir, resulting in compromised fertilization and fertility. Oocyte-derived paracrine factors were required for promoting cumulus cell expression of TGFB1. Therefore, oocyte-dependent and cumulus cell-derived TGFB1 promotes the expression of NPPC in oviductal ampulla, which is critical for sperm migration in the oviduct and subsequent fertilization.
An integrated map of fibroblastic populations in human colon mucosa and cancer tissues
Authors: Li Siying , Lu Ran , Shu Linjuan , Chen Yulin , Zhao Jin , Dai Junlong , Huang Qiaorong , Li Xue , Meng Wentong , Long Feiwu , Li Yuan , Fan Chuanwen , Zhou Zongguang , Mo Xianming 
Published: December 2022

AbstractFibroblasts and myofibroblasts are major mesenchymal cells in the lamina propria of colon mucosa and in colon cancer tissues. Detailed insight into the highly specific populations of fibroblasts and myofibroblasts is required to understand the integrity and homeostasis of human colon mucosa and colon cancer. Based on gene expression profiles of single cells, we identified fibroblast populations that produce extracellular matrix components, Wnt ligand- and BMP-secreting fibroblasts, chemokine- and chemokine ligand-generating fibroblasts, highly activated fibroblasts, immune-modulating fibroblasts, epithelial cell-modulating myofibroblasts, stimuli-responsive myofibroblasts, proliferating myofibroblasts, fibroblast-like myofibroblasts, matrix producing myofibroblasts, and contractile myofibroblasts in human colon mucosa. In colon cancer tissue, the compositions of fibroblasts and myofibroblasts were highly altered, as were the expressing patterns of genes including BMPs, Wnt ligands, chemokines, chemokine ligands, growth factors and extracellular matrix components in fibroblasts and myofibroblasts. Our work expands the working atlas of fibroblasts and myofibroblasts and provides a framework for interrogating the complexity of stromal cells in human healthy colon mucosa and colon cancer tissues.
Anisotropic phenanthroline-based ruthenium polymers grafted on a titanium metal-organic framework for efficient photocatalytic hydrogen evolution
Authors: Gonuguntla Spandana , Sk Saddam , Tripathi Anjana , Thapa Ranjit , Jonnalagadda Gopinath , Nayak Chandrani , Bhattacharyya Dibyendu , Jha S. N. , Sesha Sainath Annadanam V. , Perupogu Vijayanand , Pal Ujjwal 
Published: December 2022

AbstractConjugated polymers and titanium-based metal-organic framework (Ti-MOF) photocatalysts have demonstrated promising features for visible-light-driven hydrogen production. We report herein a strategy of anisotropic phenanthroline-based ruthenium polymers (PPDARs) over Ti-MOF, a tunable platform for efficient visible-light-driven photocatalytic hydrogen evolution reaction (HER). Several analytical methods including X-ray absorption spectroscopy (XAS) revealed the judicious integration of the surface-active polymer over the Ti-MOF reinforcing the catalytic activity over the broad chemical space. PPDAR-4 polyacrylate achitecture led to a substantial increase in the H2 evolution rate of 2438 µmolg−1h−1 (AQY: 5.33%) compared to pristine Ti-MOF (238 µmol g−1 h−1). The separation of photogenerated charge carriers at the PPDAR-4/Ti-MOF interface was confirmed by the optical and electrochemical investigations. The experimental, as well as theoretical data, revealed their physical and chemical properties which are positively correlated with the H2 generation rate. This offers a new avenue in creating polymer-based MOF robust photocatalysts for sustainable energy.
Real-time hydrogen molecular dynamics satisfying the nuclear spin statistics of a quantum rotor
Authors: Hyeon-Deuk Kim , Chang I-Ya 
Published: December 2022

AbstractApparent presence of the nuclear-spin species of a hydrogen molecule, para-hydrogen and ortho-hydrogen, associated with the quantum rotation is a manifestation of the nuclear quantum nature of hydrogen, governing not only molecular structures but also physical and chemical properties of hydrogen molecules. It has been a great challenge to observe and calculate real-time dynamics of such molecularized fermions. Here, we developed the non-empirical quantum molecular dynamics method that enables real-time molecular dynamics simulations of hydrogen molecules satisfying the nuclear spin statistics of the quantum rotor. While reproducing the species-dependent quantum rotational energy, population ratio, specific heat, and H-H bond length and frequency, we found that their translational, orientational and vibrational dynamics becomes accelerated with the higher rotational excitation, concluding that the nuclear quantum rotation stemmed from the nuclear spin statistics can induce various kinds of dynamics and reactions intrinsic to each hydrogen species.
A quantum random number generator on a nanosatellite in low Earth orbit
Authors: Reezwana Ayesha , Islam Tanvirul , Bai Xueliang , Wildfeuer Christoph F. , Ling Alexander , Grieve James A. 
Published: December 2022

AbstractQuantum random number generators find applications in both quantum and classical communications schemes, particularly in security protocols where they can be used as a source of random seed or key material. In this work, we describe the implementation of a quantum random number generator on-board a nanosatellite deployed in low Earth orbit. Our generator samples shot noise from an entangled photon-pair source based on spontaneous parametric down-conversion, linking the entropy of the output to the quantization of the down-converted beam. We present analyzed data from the orbiting instrument alongside data taken from a ground-based engineering model where the statistical test suites indicate a good match to the output from a uniform distribution. Finally, we use the source to implement a prototype for an off-grid randomness beacon. This work paves the way to future low Earth orbit based public quantum randomness beacons.
A neuro‐evolutionary approach for software defined wireless network traffic classification
Authors: Pradhan Buddhadeb , Hussain Mir Wajahat , Srivastava Gautam , Debbarma Mrinal K. , Barik Rabindra K. , Lin Jerry Chun‐Wei 
Published: December 2022

AbstractAccurate network traffic classification is an essential and challenging issue for wireless network management and survivability. Existing network traffic classification algorithms, on the other hand, cannot meet the required specifications of real networks' in terms of user privacy control overhead, latency, and above all, classification speed. For wireless network traffic classification, machine learning‐based and hybrid optimization techniques have been deployed. This paper takes a software‐defined wireless network (SDWN) architecture for network traffic classification into account. Because the proposed scheme is perfectly contained within the network controller,the SDWN controller's higher processing capability, global visibility, and programmability can be used to achieve real‐time, adaptive, and precise traffic classification. In this paper, a neuro‐evolutionary approach is proposed in which the feed forward neural network (FFNN) is the base classifier and particle swarm optimization (PSO) is used to train the FFNN to accurately classify traffic while minimizing communication overhead between the controller and the SDWN switches. Simulation experiments were conducted by acquiring real‐world internet datasets to test the efficacy of the proposed scheme. The results and the state‐of‐the‐art comparisons show that the proposed approach has outperformed in terms of accuracy in wireless traffic classification.
Compact multiband bandpass filters based on parallel coupled split structure multimode resonators
Authors: Luo Jie , Shi Kaibo , Gao Shanshan 
Published: December 2022

AbstractIn this letter, a novel sext‐band bandpass filter (BPF) using two split‐type multiple‐mode resonators is proposed. The filter is composed of two sets of resonators which are respectively designed to realize Filter 1 with two passbands and Filter 2 with quad passbands. Then the two BPFs are combined by parallel coupling feed lines for sext‐band responses, and each of the six centre frequencies in the proposed sext‐band BPF is able to be controlled due to the design freedom. To validate the design and analysis, a prototype filter has been fabricated with six passbands centred at 1.88/2.59/3.48/5.26/5.82/6.75 GHz. The measured result of the fabricated filter agrees well with the simulation, which shows that the proposed structure is a good candidate for sext‐band BPF designs and validates the proposed design flow well.
WCE‐DCGAN: A data augmentation method based on wireless capsule endoscopy images for gastrointestinal disease detection
Authors: Xiao Zhiguo , Lu Jia , Wang Xiaokun , Li Nianfeng , Wang Yuying , Zhao Nan 
Published: December 2022

AbstractWireless capsule endoscopy (WCE) is becoming more popular in clinical settings as a safe and painless gastrointestinal examination. Existing studies on automatic detection of lesions in WCE images have the problems of small dataset size and uneven distribution of numbers in terms of categories, which often leads to overfitting of the model and severely limits the performance improvement of the object detection network on WCE images. The traditional data enhancement methods such as flipping and local erasure have limitations and cannot achieve good generalization results. Therefore, a WCE‐DCGAN network was proposed in this paper to generate WCE images from existing WCE images. Using the images generated by this network and the original images as the input of the object detection network, there are different degrees of performance improvement on SSD, YOLOv5, and YOLOv4, and the average recognition accuracy of 97.25% can be achieved on SSD. Meanwhile, images generated by WCE‐DCGAN not only enlarge the size of the data set, but also have the characteristics of diversity, which makes the model have a good generalization effect.
Legal governance countermeasures for social problems based on the clustering algorithm under the application of big data technology
Authors: Zhao Xuejie 
Published: December 2022

AbstractThe purpose is to improve the security of the application of big data technology and ensure the stable development of society in the context of big data. Firstly, big data technology and its development are discussed. Secondly, the social problems caused by big data technology are analysed. Finally, the governance principles and legal governance methods are proposed based on the social problems caused by big data technology. The research results manifest that the social problems caused by the application of big data technology basically include psychological invasion, privacy leakage, the digital divide etc. These problems have caused great harm to society and the public. Through these problems, the basic governance principles and legal governance methods of social problems under the application of big data are designed, which basically include the principles of people‐oriented, fairness and justice, openness and transparency, participation and sharing, respect and protection, and accountability. And the basic connotation and characteristics of legal means are discussed, thereby improving the basic function of legal means of governance. This research not only provides basic concepts and standards for the development and application of big data technology but also contributes to safeguarding public interests and promoting social stability.
Modelling of demand response programs in energy management of combined cooling, heat and power‐based microgrids considering resiliency
Authors: Azarinfar Hossein , Khosravi Mohsen , Ranjkeshan Reza , Akbari Ehsan 
Published: December 2022

AbstractDemand‐Side Management (DSM) Strategic plan of International Energy Agency states that the first option in all energy policies to achieve sustainable, reliable, and economic systems is DSM activities such as demand response programs (DRP). Thereby, these programs must also be considered in energy management of microgrids (MGs) and their operation and resiliency optimization. Energy management in MGs is carried out with different objectives such as reducing operation costs and enhancing the resilience response. In the first approach, the microgrid operator attempts to minimize the energy cost supplied by available resources in normal conditions. On the other hand, the goal of improving microgrid resilience response is to reduce the energy outages and load interruptions in emergencies such as occurrence of floods, earthquakes, and hurricanes. Naturally, in the second approach, the generation share of the microgrid resources itself in supplying the required demand is more; because the microgrid and main network connection will be lost in this approach. Since these two approaches may lead to different strategies in microgrid energy management, a compromise must be reached between them. In this paper, DRP, storage devices, renewable resources, such as wind and photovoltaic (PV) units, are modelled to manage energy in the MGs equipped with Combined Cooling, Heat, and Power to minimize the operation costs and enhance the resilience response. Three case studies are considered. The first case deals with the management of energy and structure in MGs without considering resilience objective function and responsive loads. In the second case, the resilience objective function is considered in the problem, and in the third study, responsive loads were also taken into account. The results show that the total objective function is reduced by considering the resilience objective function in case two. Also, the use of responsive loads in the third case also reduces more the total costs of MGs.
Utilizing high fidelity data into engineering model calculations for accurate wind turbine performance and load assessments under design load cases
Authors: Bangga Galih , Parkinson Steven , Lutz Thorsten 
Published: December 2022

AbstractWind turbines often have lower performance and experience higher loading in real operation compared to the original design performance. The reasons stem from the influences of complex atmospheric turbulence, blade contamination, surface imperfection and airfoil‐shape changes. Engineering models used for designing wind turbines are limited to information derived from blade sectional datasets, while details on the three‐dimensional blade characteristics are not captured. In these studies, a dedicated strategy to improve the prediction accuracy of engineering model calculations will be presented. The main aim is to present an elaborated effort to obtain a better estimate of the turbine loads in realistic operating conditions. The present studies are carried out by carefully utilizing data from high fidelity Computational Fluid Dynamics (CFD) computations into Blade Element Momentum (BEM) and Vortexline methods. The results are in a good agreement with detailed field measurement data of a 2.3 MW turbine. The studies are further extended to a large turbine having a rated power of 10 MW to provide an overview of its suitability for large turbines. Finally, calculations of the wind turbine under a realistic IEC design load case are demonstrated. The studies highlight important considerations for engineering modeling using BEM and Vortexline methods.
Homogenization of sound-soft and high-contrast acoustic metamaterials in subcritical regimes
Authors: Feppon Florian , Ammari Habib 
Published: December 2022

We propose a quantitative effective medium theory for two types of acoustic metamaterials constituted of a large number N of small heterogeneities of characteristic size s, randomly and independently distributed in a bounded domain. We first consider a “sound-soft” material, in which the total wave field satisfies a Dirichlet boundary condition on the acoustic obstacles. In the “sub-critical” regime sN = O(1), we obtain that the effective medium is governed by a dissipative Lippmann–Schwinger equation which approximates the total field with a relative mean-square error of order O(max((sN)2N-1/3, N-1/2)). We retrieve the critical size s ~ 1/N of the literature at which the effects of the obstacles can be modelled by a “strange term” added to the Helmholtz equation. Second, we consider high-contrast acoustic metamaterials, in which each of the N heterogeneities are packets of K inclusions filled with a material of density much lower than the one of the background medium. As the contrast parameter vanishes, δ → 0, the effective medium admits K resonant characteristic sizes (si(δ))1≤i≤K and is governed by a Lippmann–Schwinger equation, which is diffusive or dispersive (with negative refractive index) for frequencies ω respectively slightly larger or slightly smaller than the corresponding K resonant frequencies (ωi (δ))1≤i≤K. These conclusions are obtained under the condition that (i) the resonance is of monopole type, and (ii) lies in the “subcritical regime” where the contrast parameter is small enough, i.e. δ = o(N−2)), while the considered frequency is “not too close” to the resonance, i.e. Nδ1/2 = O(|1 - s/si(δ)|). Our mathematical analysis and the current literature allow us to conjecture that “solidification” phenomena are expected to occur in the “super-critical” regime Nδ1/2|1 - s/si(δ)|-1 → + ∞.
Characterization of local time dependence of equatorial spread F responses to substorms in the American sector
Authors: Gao Shunzu , Cai Hongtao , Zhan Weijia , Wan Xin , Xiong Chao , Zhang Hong , Xu Chen 
Published: December 2022

Substorms have been found to play an important role in ionospheric electrodynamics at low and equatorial latitudes. In this study, we have investigated the possible influence of substorm on the generation of equatorial spread F (ESF). Coherent backscatter radar (JULIA) and incoherent scatter radar measurements between 2000 and 2017 at the Jicamarca Radio Observatory (11.95° S, 76.87° W, ~0° dip lat) are used. In statistical analysis, 12,525 h of ESF measurements are considered and have been divided into two groups based on their local time: post-sunset (18–24 LT) and post-midnight (00–06 LT). The superposed epoch analysis shows that the substorm-caused disturbance on vertical plasma drift can last longer than 12 h, which further affects the occurrence rate of ESF during a substorm. The increase/decrease of ESF at the post-sunset/post-midnight sector with about a 1 h lag to the substorm commencement is attributed to the prompt penetration electric field (PPEF), while the disturbance dynamo electric field needs approximately 3.5 h to suppress/promote the post-sunset/post-midnight ESF after substorm. In addition, the absolute value of correlation coefficients between the AE index and the occurrence rate of ESF is the largest when a 3–3.5 h lag is considered, which implies that the effect of disturbance dynamo electric fields could be more significant than prompt penetration electric field for the generation (suppression) of post-midnight (post-sunset) ESF during a substorm.
Jump and Sprint Performance Directly and 24 h After Velocity-
vs. Failure-based Training
Authors: Held Steffen , Rappelt Ludwig , Deutsch Jan-Philip , Donath Lars 
Published: December 2022

AbstractThe combination of plyometric and resistance training (RT) is frequently used to
increase power-related adaptations. Since plyometric training is most effective
when athletes are in a well-rested state, the acute effect of RT on plyometric
performance should be carefully considered. Thus, 15 highly trained males
(23.1±3.5 yrs, 1.80±0.06 m,
79.1±7.9 kg) completed a load- and volume-matched velocity-based
RT session with 10% velocity loss (VL10) and traditional 1-repetition
maximum-based RT session to failure (TRF) in a randomized order. Repeated
sprints (5 × 15 m), countermovement jumps (CMJs), and drop jumps
(DJs) were measured before, immediately after, and 24 h after both
sessions. Lactate, heart rate, and perceived effort (RPE) were measured. Sprint,
CMJ, and DJ revealed significant interaction effects (rANOVA
p<0.001, ηp
2≥0.63).
Immediately afterward, sprint, DJ, and CMJ were less negatively affected
(p≤0.03, SMD≥|0.40|) by VL10 vs. TRF.
Sprint and CMJ were already recovered 24 h post-testing and showed no
significant differences between TRF and VL10 (p≥0.07,
SMD≤|0.21|). Twenty-four hours post-testing, DJs were
still reduced during TRF but already recovered during VL10
(p=0.01, SMD=|0.70|). TRF resulted in
higher lactate, heart rate, and RPE compared to VL10 (p≤0.019,
η
p

2≥0.27,
SMD≥|0.68|). In conclusion, the non-failure-based VL10
impairs jump and sprint performance less than the failure-based TRF approach,
despite matched volume and intensity.