bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contribution of different strength determinants on distinct phases of Olympic rowing performance in adolescent athletes
Authors: Ledergerber Romina , Jacobs Mats Willem , Roth Ralf , Schumann Moritz 
Published: July 2023

ABSTRACTAerobic metabolism dominates Olympic rowing, but research on the relative contribution of strength and power demands is limited. This study aimed to identify the contribution of different strength determinants for distinct phases of rowing ergometer performance. The cross‐sectional analysis comprised of 14 rowing athletes (4 female, 10 male, age: 18.8 ± 3.0y, 16.9 ± 2.2y). Measurements included anthropometrics, maximal strength of leg press, trunk extension and flexion, mid‐thigh pull (MTP) and handgrip strength, VO2max, and a 2000 m time trial, where peak forces at the start, middle and end phase were assessed. Additionally, rate of force development (RFD) was assessed during the isometric leg press and MTP with intervals of 150, 350 ms and 150, 300 ms, respectively. Stepwise regression models for ergometer performance showed that the start phase was mainly explained by maximal trunk extension and RFD 300 ms of MTP (R2 = 0.91, p < 0.001) and the middle section by VO2max, maximal leg press strength and sitting height (R2 = 0.84, p < 0.001). For the end phase, a best fit was observed for trunk flexion, RFD 350 ms of leg press, body height and sex (R2 = 0.97 p < 0.001), whereas absolute VO2max, trunk flexion and sex explained variance over the entire 2000 m time trial (R2 = 0.98, p < 0.001). It appears that for the high acceleration in the start phase, force transmission through maximum strength for trunk extension is essential, while fast power production along the kinetic chain is also relevant. Additionally, the results support that maximal force complements the reliance on VO2max. Further intervention studies are needed to refine training recommendations.
Acute beetroot juice supplementation did not enhance intermittent running performance in trained rugby players
Authors: Esen Ozcan , Karayigit Raci , Peart Daniel J. 
Published: July 2023

ABSTRACTPurposeSince the effect of dietary nitrate (NO3‐) supplementation on rugby performance is unclear, the aim of the present study was to determine the effect of acute NO3‐ supplementation, on the modified Yo‐Yo intermittent recovery level 1 (IR1) performance test in trained male rugby players.MethodsIn a randomised, counterbalanced, double‐blind, placebo‐controlled crossover design, 12 trained rugby union players performed two experimental trials three hours after supplementation of either 140 mL NO3‐‐rich (BRJ; ∼12.8 mmol NO3‐) or NO3‐‐depleted (PLA) BRJ. After blood sampling, players performed the modified Yo‐Yo IR1 test. Countermovement jumps (CMJ) were also measured before (pre‐CMJ) and after (post‐CMJ) the prone Yo‐Yo IR1 test.ResultsPlasma NO3‐ (BRJ: 570 ± 146 µM vs. PLA: 72 ± 23 µM) and nitrite (NO2‐) concentrations (BRJ: 320 ± 123 nM vs. PLA: 103 ± 57 nM) were increased after BRJ compared to PLA supplementation (both P < 0.001). Performance in the modified Yo‐Yo IR1 test did not differ between BRJ (542 ± 209 m) and PLA (498 ± 185 m, P = 0.3). The jump height in pre‐CMJ and in post‐CMJ were similar between trials (both P > 0.05).ConclusionsAcute BRJ supplementation increased plasma NO3‐ and NO2‐ concentrations but had no benefit on an intermittent running test that reflects the demands of rugby performance, and CMJ performances. The findings do not support acute high‐dose NO3‐ supplementation as an ergogenic aid to enhance physical performance in trained male rugby players.
Investigation of laser-textured triboelectric nanogenerator for vibration sensing of machine tools
Authors: P S Kaushik , Gupta Puneet , J Diksha , Tripathi Ashwani S , Joshi Suhas S , Palani I A 
Published: July 2023

Abstract
The breakdown of any industrial mechanical system can be predicted and identified using vibration sensing. Piezoelectric material-based vibration sensors are commercially available, but their use is limited by their reliance on external power sources and intricate data-gathering systems. Recently, contact electrification-based triboelectric nanogenerators (TENGs), which are reliable, affordable, and lightweight devices, have been developed as vibration sensors. The TENG is a high-voltage output device; however, its lower current output restricts its practical applications. In this work, we report a novel laser texturing technique for output enhancement of polytetrafluoroethylene (PTFE)- and aluminum (Al)-based TENG for machinery vibration sensing applications. An Nd3+: YAG pulse laser was used for texturing the PTFE sheet. A 50% spatial spot overlap with laser fluences of 10 and 50 J cm−2 was chosen to investigate the impact on the TENG electrical output. As compared to pristine TENG, the open-circuit voltage and short-circuit current of laser-textured (LT) TENG increased from 308 V to 368 V and 12.64 µA to 19.16 µA, respectively. The TENG device was attached to a lathe and a milling machine to sense the change in vibration state with respect to various machining parameters. Moreover, the proposed LT performance-enhanced TENG has excellent potential and broad applications in the fields of machinery monitoring, fault detection, and the Internet of Things and Industry 4.0.
Structural, morphological and optical properties of Sn doped zinc oxide thin films synthesis by sol-gel method for photocatalytic applications
Authors: Boufelgha Fayssal , Zellagui Rahima , Benachour Mohamed Cherif , Brihi Noureddine , Dehdouh Heider , Saeed M A 
Published: July 2023

Abstract
Undoped and tin (Sn)-doped ZnO thin films were synthesized via sol-gel technique and deposited onto the glass substrates using the spin-coating technique. The impact of Sn incorporation at various concentrations on the structural, morphological, and optical properties of ZnO films was studied x-ray diffraction revealed a hexagonal crystal structure for all samples with a preferential crystalline orientation along the (002) plane. The transparency of Sn-doped ZnO thin film in the visible region significantly increased from 75% to 90%. The morphological analysis revealed a decrease in the grain size from 21 nm to 15 nm with Sn content in the matrix of ZnO. The optical properties reveal the contribution of the Burstein-Moss effect and electron-impurity scattering to slightly widen the bandgap from 3.22 eV to 3.24 eV. Urbach energy values demonstrated that the presence of Sn dopant increased the tail-band width of the localized states. These observations suggest that the deposited Sn-ZnO thin films could have possible applications as a photocatalyst for methylene blue (MB) dye degradation.
Asymmetric tridirectional quantum teleportation using seven-qubit cluster states
Authors: Mahjoory Ali , Kazemikhah Payman , Aghababa Hossein , Kolahdouz Mohammadreza 
Published: July 2023

Abstract
This paper proposes an asymmetric tridirectional quantum teleportation (TQT) protocol that uses a seven-qubit cluster states as the quantum channels of each party. In this scheme, any one of the three participants can send their arbitrarily entangled states to the other two concurrently. The tridirectional functionality shows that all three users can act as sender and receiver simultaneously. Based on the mathematical modeling of the scheme, the quantum circuit and the appropriate quantum channel is proposed. For examination and implementation, the proposed scheme and circuit were simulated and validated using IBM quantum experience platform, QASM_simulator and Qiskit library.
Study on influence of modifiers on structural and spectroscopic properties of Nd3+ doped different lithium tetra borate glasses
Authors: Dinesh P Sai , Kumar M , Ratnakaram Y C 
Published: July 2023

Abstract
Different multi-component (Li, Na, Ca, Ba, LiNa, BaCa) borate glasses doped with 1 mol% of Nd3+ ions were prepared by the melt-quenching method. The structural information was carried out by PXRD, FTIR and 11B MAS-NMR characterizations. Based on Thermogravimetry (TG) and Differential Scanning Calorimetry (DSC), thermal stability has been taken care for the glass samples which are mentioned at present work. From PXRD, it is clearly observed that the prepared glass samples are amorphous in nature. The FTIR spectra were examined to determine if the borate glasses contained BO3 or BO4 functional groups.11B MAS NMR gives structural presentation of BO3 and BO4 groups and boron-oxygen coordination number. The evaluation of Judd-Ofelt parameters, Ω
λ
(λ = 2, 4, 6), and spectroscopic quality factors (χ) were conducted based on the optical absorption spectra and spectral intensities. The present study involves an analysis of the transition probabilities (A) and branching ratios (β) of specific transitions of Nd3+ ion doped in various glasses, utilizing the Judd-Ofelt intensity parameters. The emission spectra of the glass samples were recorded with 808 nm excitation, it shows three peaks at 881, 1050 and 1332 nm. Theoretical analysis was conducted on the luminescence properties of borate glasses, and various radiative properties were also investigated. From the luminescent properties of Nd3+ doped different lithium tetraborate glasses, it is concluded that LiBiNaTNd and LiBiBaCaTNd glasses are promising gain materials for 1.05 μm fiber laser applications.
Inversionless terahertz lasing in a four-level Raman-type scheme within mid-infrared quantum cascade structures
Authors: Kazemi-Tesieh Mohammad Reza , Yousefvand Hossein Reza , Ghadimi Abbas , Kiani-Sarkaleh Azadeh 
Published: July 2023

Abstract
This paper applies the density matrix formalism to investigate a feasibility of inversionless terahertz (THz) lasing within a mid-infrared (mid-IR) quantum cascade laser (QCL). The proposed structure aims to use a mid-IR QCL as an efficient pump source that integrated with a four-level Raman-type scheme to generate THz radiation through strong coherence excited in the system. A key aspect of the design is that the THz generation is achieved by interplay between inversion-based lasing and coherent effects due to quantum interference between the microscopic polarizations of the dipole-allowed transitions in the four-level system. THz intensity gain arising from both the inversion-based lasing and coherent effects is derived from the off-diagonal density matrix elements in the four-level system. The simulation results indicate that the proposed design demonstrates the potential to achieve THz lasing with good temperature characteristics and without the need for population inversion.
A comparative analysis of a D-shaped photonic crystal sensor based on graphene plasmonic
Authors: Hajiani Tayebe , Eskandari Mohammad 
Published: July 2023

Abstract
In this paper, a D-shaped photonic crystal fiber (PCF) sensor based on surface plasmon resonance has been presented. In the proposed structure, Graphene, Gold, and Silver have been used in different configurations in order to promote the sensitivity of the sensor. According to the numerical simulations performed by the finite element method (FEM) and considering the refractive index of the analyte from 1.36 to 1.40, the maximum wavelength sensitivity of 12600 nm RIU−1 has been obtained, which is related to the structure when the Gold layer sandwiched between two Graphene layers. This is while, the maximum amplitude sensitivity of the proposed sensor is 5708 (RIU−1), which is related to the configuration that Graphene has been placed under the Silver layer. On the other hand, the proposed structure is easy to use because there is no need to fill the fiber holes with the analyte and it can be easily placed on the D-shaped surface of the sensor. The proposed sensor is appropriate to sense the biological variation because of showing strong surface plasmon resonances. The effect of the fabrication tolerance on the proposed PCF is also studied. It is expected that the proposed model will be compatible with the bio-engineering approaches.
Heat-driven self-cleaning glass based on fast thermal response for automotive sensors
Authors: Kim Youngkwang , Lee Jeongmin , Chung Sang Kug 
Published: July 2023

Abstract
High-performance transparent heaters, which can prevent a camera lens from frosting/icing and evaporate droplets on the surface of the lens, are one of the promising self-cleaning devices for automotive optical sensors such as an automotive camera and Light Detection and Ranging (LiDAR) sensor. However, many previous studies on transparent heaters have mainly focused on advanced materials and manufacturing technologies. For the commercialization of transparent heaters, practical methods to improve thermal response and evaluate the cleaning performance of contaminants must be investigated. Hence, we propose a heat-driven self-cleaning glass based on fast thermal response using overdrive voltage for automotive sensors. The proposed device was designed as a mesh-type patterned electrode for high transmittance and fabricated using the Micro-electro-mechanical-systems (MEMS) process. The proposed device generated heat when voltage was applied and reached 85 °C in approximately 4 sec when driven using an overdrive driving method. In addition, performing a test to remove droplets of various volumes generated on the surface of the proposed device, it was confirmed that droplets of various volumes could be removed within 30 sec. For a demonstration of the proposed concept, the heat-driven self-cleaning glass was applied to an automotive camera, and the image distorted by rainwater on the camera lens became clear when the glass was operated. We believe these experimental results are useful to commercialize transparent heaters for the next-generation automotive optical sensors.
The single- and two-photon scattering in the waveguide QED coupling to a giant atom
Authors: Cheng Weijun , Wang Zhihai , Tian Tian 
Published: July 2023

Abstract
The giant atom, which means the nonlocal atom-waveguide coupling, gives lots of newfangled physics. In this paper, we study the single- and two-photon scattering in the waveguide quantum electrodynamics on a two-level giant atom. For single-photon scattering, we find that the transmission rate is dependent on the atomic size. For the two-photon scattering, using a reasonable wave function hypothesis, we can get the two-photon scattering state, which consists of the symmetric and anti-symmetric plane wave functions. The other eigenstate is the two-photon bound state, which is orthogonal to the two-photon scattering state. We find that the spatial extent of the two-photon bound state is related to the detuning between waveguide and atom, which is distinguished from the character of the general atom. Our study is beneficial to photon control and the fundamental research of the two-photon scattering.
Phenomenological study of
decays*
Authors: Hong Peng-Cheng , Ping Rong-Gang , Song Wei-Min , Li He , Zhou Xiao-Rong 
Published: July 2023

Abstract
The measurement of decay parameters is one of the important goals of particle physics experiments, and the measurement serves as a probe to search for evidence of CP violation in baryonic decays. The experimental results will aid in advancing existing theoretical research and establishing new experimental objectives. In this study, we formulate the asymmetric parameters that characterize parity violation, and then derive formulas for the measurement of CP violation. The formulae for the joint angular distribution of the full decay chain as well as the polarization observable of

,

, Λ, and

are also provided for experiments. Lastly, we evaluated the sensitivity of two asymmetric parameters:

(abbreviated as

) and

(abbreviated as

) for future experimental measurements.
TRCA-Net: using TRCA filters to boost the SSVEP classification with convolutional neural network
Authors: Deng Yang , Sun Qingyu , Wang Ce , Wang Yijun , Zhou S Kevin 
Published: July 2023

Abstract

Objective. The steady-state visual evoked potential (SSVEP)-based brain–computer interface has received extensive attention in research due to its simple system, less training data, and high information transfer rate. There are currently two prominent methods dominating the classification of SSVEP signals. One is the knowledge-based task-related component analysis (TRCA) method, whose core idea is to find the spatial filters by maximizing the inter-trial covariance. The other is the deep learning-based approach, which directly learns a classification model from data. However, how to integrate the two methods to achieve better performance has not been studied before. Approach. In this study, we develop a novel algorithm named TRCA-Net (TRCA-Net) to enhance SSVEP signal classification, which enjoys the advantages of both the knowledge-based method and the deep model. Specifically, the proposed TRCA-Net first performs TRCA to obtain spatial filters, which extract task-related components of data. Then the TRCA-filtered features from different filters are rearranged as new multi-channel signals for a deep convolutional neural network (CNN) for classification. Introducing the TRCA filters to a deep learning-based approach improves the signal-to-noise ratio of input data, hence benefiting the deep learning model. Main results. We evaluate the performance of TRCA-Net using two publicly available large-scale benchmark datasets, and the results demonstrate the effectiveness of TRCA-Net. Additionally, offline and online experiments separately testing ten and five subjects further validate the robustness of TRCA-Net. Further, we conduct ablation studies on different CNN backbones and demonstrate that our approach can be transplanted into other CNN models to boost their performance. Significance. The proposed approach is believed to have a promising potential for SSVEP classification and promote its practical applications in communication and control. The code is available at https://github.com/Sungden/TRCA-Net.
Heterogeneous Graph Neural Network for identifying hadronically decayed tau leptons at the High Luminosity LHC
Authors: Huang Andris , Ju Xiangyang , Lyons Jacob , Murnane Daniel , Pettee Mariel , Reed Landon 
Published: July 2023

Abstract
We present a new algorithm that identifies reconstructed
jets originating from hadronic decays of tau leptons against those
from quarks or gluons. No tau lepton reconstruction algorithm is
used. Instead, the algorithm represents jets as heterogeneous graphs
with tracks and energy clusters as nodes and trains a Graph Neural
Network to identify tau jets from other jets. Different attributed
graph representations and different GNN architectures are
explored. We propose to use differential track and energy cluster
information as node features and a heterogeneous sequentially-biased
encoding for the inputs to final graph-level classification.
Coincidence time resolution measurements for dual-ended readout PET detectors
Authors: Sun M.D. , Zhang C.H. , Zhao B.Q. 
Published: July 2023

Abstract
Coincidence time resolution (CTR) is an important
performance parameter of clinical positron emission tomography (PET)
detectors, which is dependent on the parameters of the scintillation
crystal, the timing measurement methods, and the electronics. In
this work, CTRs of PET detectors using dual-ended readout of
segmented LYSO arrays were measured with different timing
measurement methods. The detector modules were composed of LYSO
arrays of 8 × 8 with a crystal size of
3.10 × 3.10 × 20 mm3 or 13 × 13 with a
crystals size of 1.88 × 1.88 × 20 mm3, coupled at
each end to an 8 × 8 Hamamatsu SiPM array (S13361-3050NE-08)
with pixel active area of 3.00 × 3.00 mm2 and pitch of
3.20 mm. The signals of the SiPM arrays were individually read out
and processed by using the TOFPET2 ASICs. The CTRs of the detectors
were measured after the timing alignment of the ASICs was
performed. Timing measurement methods of the dual-ended readout
detector such as the average time of the two SiPMs, the faster time
of the two SiPMs, the time of the back SiPM, and the time of the
front SiPM were compared. The average time of the two SiPMs provides
the best CTR, which is explained by a simple model about the timing
measurement methods of a dual-ended readout detector. The detector
with one-to-one crystal-to-SiPM coupling provides better CTR than
the detector with a crystal size smaller than the pixel size of the
SiPM. The best CTR of 367 ± 6 ps was obtained by using the
8 × 8 LYSO array with unpolished lateral crystal surfaces and
ESR reflectors. The CTR of the dual-ended readout detector can be
improved if a DOI-dependent timing correction is used.
Results of manufacturing and operation of the first accelerating structures for the linear accelerator of the SKIF injector based on a disk-loaded waveguide
Authors: Levichev A. , Grishina K. , Samoilov S. , Arsentieva M. , Chekmenev D. , Xiaochao Ma , Meshkov O. , Pivovarov I. , Nikiforov D. , Barnyakov A. 
Published: July 2023

Abstract
The linear accelerator of the Siberian Circular Photon
Source is being developed at Budker Institute of Nuclear Physics of
the Siberian Branch of the Russian Academy of Sciences (BINP SB
RAS). The test accelerator facility with the RF gun, the bunching
system, the pre-accelerator and the first regular accelerating
structuresoperates at Budker Institute of Nuclear Physics. The aim
of work at this facility is to demonstrate the performance of the
basic system of the linear accelerator, including the accelerating
structures. This paper presents the first accelerating structures
for the linear accelerator of the SKIF injector produced at BINP SB
RAS.
The role of exosomes in central nervous system tissue regeneration and repair
Authors: Wang Jingtao , Yang Lingyan 
Published: July 2023

Abstract
Exosomes are membrane-bound vesicles secreted by various cell types into the extracellular environment and contain kinds of bioactive molecules. These molecules can mediate various biological processes such as cell differentiation, proliferation, and survival, making them attractive for tissue regeneration and repair. Owing to their nanoscale size, bilayer membrane structure, and receptor-mediated transcytosis, exosomes can cross the blood-brain barrier (BBB) and reach the central nervous system (CNS) tissue. Additionally, exosomes can be loaded with exogenous substances after isolation. It has been suggested that exosomes could be used as natural drug carriers to transport therapeutic agents across the BBB and have great potential for CNS disease therapy by promoting tissue regeneration and repair. Herein, we discuss perspectives on therapeutic strategies to treat neurodegenerative disease or spinal cord injury using a variety of cell types-derived exosomes with kinds of exosomal contents, as well as engineering strategies of specific functional and exosome administration routes.
Synthesis and application of zeolitic imidazolate frameworks-based nucleic acid delivery system in tumor diagnosis and therapy: a review
Authors: Wang Liping , Liang Zhijuan , Li Dan , Chen Yuanbin , Ma Guofeng , Liang Ye 
Published: July 2023

Abstract
Cancer severely threatens human health, which makes it particularly urgent to develop effective strategies for cancer diagnosis and therapy. Gene therapy and nucleic acid-based cancer diagnosis play important roles in cancer theranostic, but their applicability is challenged by the low cellular uptake and enzymatic degradation. In response, safe and efficient carrier metal–organic frameworks (MOFs) have been proposed. Zeolite imidazole frameworks (ZIFs), a promising MOF type, can easily encapsulate negatively charged nucleic acid while offering a high loading efficiency, adjustable structure, and conditional responsiveness (pH, adenosine triphosphate (ATP), or glutathione (GSH)). In this review, we studied recent articles on nucleic acid-loading ZIFs-based nanoplatforms in tumor theranostics on the Pubmed database, with a focus on the synthesis and applications in tumor diagnosis and treatment. The relevant favorable aspects, potential challenges, and future opportunities are also discussed in this review.