bluuebunny/crossref_metadata_2025_split huggingface dataset:
TBK1-Zyxin signaling controls tumor-associated macrophage recruitment to mitigate antitumor immunity
Authors: Zhou Ruyuan , Wang Mengqiu , Li Xiao , Liu Yutong , Yao Yihan , Wang Ailian , Chen Chen , Zhang Qian , Wu Qirou , Zhang Qi , Neculai Dante , Xia Bing , Shao Jian-Zhong , Feng Xin-Hua , Liang Tingbo , Zou Jian , Wang Xiaojian , Xu Pinglong 
Published: September 2024

AbstractMechanical control is fundamental for cellular localization within a tissue, including for tumor-associated macrophages (TAMs). While the innate immune sensing pathways cGAS-STING and RLR-MAVS impact the pathogenesis and therapeutics of malignant diseases, their effects on cell residency and motility remain incompletely understood. Here, we uncovered that TBK1 kinase, activated by cGAS-STING or RLR-MAVS signaling in macrophages, directly phosphorylates and mobilizes Zyxin, a key regulator of actin dynamics. Under pathological conditions and in STING or MAVS signalosomes, TBK1-mediated Zyxin phosphorylation at S143 facilitates rapid recruitment of phospho-Zyxin to focal adhesions, leading to subsequent F-actin reorganization and reduced macrophage migration. Intratumoral STING-TBK1-Zyxin signaling was evident in TAMs and critical in antitumor immunity. Furthermore, myeloid-specific or global disruption of this signaling decreased the population of CD11b+ F4/80+ TAMs and promoted PD-1-mediated antitumor immunotherapy. Thus, our findings identify a new biological function of innate immune sensing pathways by regulating macrophage tissue localization, thus providing insights into context-dependent mitigation of antitumor immunity.
Stabilizing LiCoO2 at 4.6 V by regulating anti-oxidative solvents
Authors: Ren Hengyu , Zheng Guorui , Li Yuhang , Chen Shiming , Wang Xiaohu , Zhang Mingzheng , Zhao Wenguang , Yi Haocong , Huang Weiyuan , Fang Jianjun , Liu Tongchao , Yang Luyi , Liu Ming , Zhao Qinghe , Pan Feng 
Published: September 2024

By anti-oxidative electrolyte solvent regulation, we effectively regulated the reaction path of PF6− anions in the Helmholtz plane of the LCO/electrolyte interface at 4.6 V, forming a robust CEI and retaining layered structure of LCO with cycling.
Dynamic Changes Toward Reflective Practice: Documented Shifts in Speech-Language Pathologists' Evaluation Practices
Authors: Núñez Giselle , Buren Molly , Bailey Tara , Crowley Catherine 
Published: September 2024

Purpose:
This qualitative study explored the experiences of speech-language pathologists (SLPs) in professional learning communities (PLCs) during a year-long virtual professional development (PD) opportunity using an implementation science (IS) framework in an urban public school district for dynamic assessment (DA) training. The DA presented in the PD was modified based on ongoing discussions with key stakeholders in the district, so that it could be reasonably implemented in clinical practice while preserving the integrity of the DA's purpose.

Method:
SLPs in an urban district were trained virtually using DA over the course of the school year. PD topics focused on decreasing bias and incorporating evidence-based practice into SLP approaches to speech-language evaluations. The SLPs underwent three training sessions and three separate PLC sessions. The SLPs were assigned a series of case studies to complement PLC sessions. An IS framework informed each step of the PD and PLCs to ensure applicability and integration of the content. Of the 366 SLPs working in the district, 209 consented and filled out two questionnaires and three exit slips to gather information on their experiences with the DAs and PLC models.

Results:
SLPs reported new insights into their practice, including changes in assessment practices, awareness of bias in assessment practices, and increased confidence in working with families during the evaluation process. Two additional themes emerged: increased collaboration and enhanced group problem-solving skills when working with peers in PLC groups, and expanded proficiencies and heightened skills when applying DA practices to evaluations. The two challenges faced by SLPs included time constraints and confidence in the mastery of DA.

Conclusion:
This study offers an approach to shifting evaluation practices in large districts to incorporate more evidence-based approaches.
IBTD: A novel ISAC beam tracking based on deep reinforcement learning for mmWave V2V networks
Authors: Zhao Yifeng , Liu Haoran , Liu Xuanhui , Wang Xiaoqi , Gao Zhibin , Huang Lianfen 
Published: September 2024

AbstractBeam tracking is commonly employed in millimetre wave (mmWave) based vehicle‐to‐vehicle (V2V) networks to align the beams towards the intended targets and compensate for the path loss of mmWave signals. To mitigate the high latency issue arising from the tracking processes, integrated sensing and communication (ISAC) technology leverages the echo signal to sense the motion parameters of the target, achieving low‐latency beam tracking without requiring pilot and uplink feedback. Existing studies mainly focus on utilizing ISAC for beam alignment to track the target, without integrating beam tracking with resource allocation. In this paper, we propose the ISAC beam tracking based on deep reinforcement learning (IBTD) algorithm to address this problem. Specifically, we introduce the concept of packet age to measure communication performance. To achieve accurate beam tracking and optimize the transmit power, we integrate the sensing results, such as the position and velocity of the target vehicle, along with the buffer pool status information, with deep reinforcement learning (DRL) to select an appropriate policy. Furthermore, we consider the effect of inter‐vehicle distance and incorporate the changing of tracking targets into the DRL‐based policy. Simulation results demonstrate that the proposed IBTD algorithm achieves lower packet age and transmit power consumption compared to the baseline algorithms.
An algorithm for cattle counting in rangeland based on multi‐scale perception and image association
Authors: Li Bingxuan , Fang Jiandong , Zhao Yudong 
Published: September 2024

AbstractTo effectively address common issues such as cattle being obscured by fences and images prone to colour shifts and high brightness in a ranch setting, this paper proposes an algorithm for counting cows based on multi‐scale perception and image correlation. The algorithm first adjusts the model output scale to enhance cattle detection under current conditions. It incor‐porates efficient Partial Convolution (PConv) to replace 3 × 3 convolutions in the Neck segment of the YOLOv7 network, boost‐ing computational speed and reducing complexity. To streamline feature fusion, Dynamic Head (DyHead) unifies multiple at‐tentional operations in the Neck segment, enhancing efficiency. Additionally, it introduces a novel bounding box similarity metric Minimum Point DioU (MPDIoU) based on minimum point distance, encompassing factors from existing loss functions, while simplifying computations. Experimental results demonstrate the algorithm significantly improves detection, achieving 98.8% accuracy, 99.0% recall, and a 92.1% mAP value. Compared with mainstream SOTA models, Precision increases by 0.4%, Recall by 2.0%, and mAP value by 2.2%. Model size decreases by 23.9%, parameter count by 23.0%, and computational load by 6.1%. the algorithm shows improvements across all indices, meeting the challenge of real‐time cattle counting in ranches under complex conditions.
Metallicity-dependent kinematics and orbits in the Milky Way’s nuclear stellar disc
Authors: Nogueras-Lara F. , Nieuwmunster N. , Schultheis M. , Sormani M. C. , Fragkoudi F. , Thorsbro B. , Rich R. M. , Ryde N. , Sanders J. L. , Smith L. C. 
Published: September 2024

Context. The nuclear stellar disc (NSD) is a flat and dense stellar structure at the centre of the Milky Way. Previous work has identified the presence of metal-rich and metal-poor stars in the NSD, suggesting that they have different origins. The recent publication of photometric, metallicity, proper motion, and orbital catalogues allows the NSD stellar population to be characterised with unprecedented detail.
Aims. We aim to explore the proper motions and orbits of NSD stars with different metallicities to assess whether they have different origins and to better understand the metallicity distribution in the NSD.
Methods. We distinguished between metal-rich and metal-poor stars by applying a Gaussian mixture model, as done in previous work, and analysed the proper motions, orbits, and spatial distribution of stars with different metallicities.
Results. We find that metal-rich stars exhibit a lower velocity dispersion, suggesting that they trace a kinematically cooler component compared to metal-poor ones. Furthermore, z-tube orbits are predominant among metal-rich stars, while chaotic/box orbits are more common among metal-poor ones. We also find that metal-rich and metal-poor stars show a similar extinction and are present throughout the analysed regions. As a secondary result, we detected a metallicity gradient in the metal-rich population with higher metallicity towards the centre of the NSD and a tentative gradient for the metal-poor stars, which is consistent with previous studies that did not distinguish between the two populations.
Conclusions. Our results suggest that metal-rich stars trace the NSD, whereas metal-poor ones are related to the Galactic bar and probably constitute Galactic bar interlopers and/or are NSD stars that originated from accreted clusters. The detected metallicity gradients aligns with the currently accepted inside-out formation of the NSD.
Distinguishing Features of Childhood Renal Dysplasia
Authors: Mekik Ece , Özçakar Zeynep Birsin , Cakar Nilgun , Coşkun Burcu Biral , Doğanay Beyza , Yalcinkaya Fatos 
Published: September 2024

Abstract
Background Renal dysplasia (RD) is a major cause of chronic kidney disease
(CKD) in childhood. Herein, we present a single-center experience about
distinctive features of different subtypes of dysplasia.
Methods All children with RD admitted between January 2018 and June 2019
were included in this cross-sectional study. Patients were classified as having
unilateral RD, bilateral RD, posterior urethral valves (PUV), and
multicystic-dysplastic kidneys (MCDK).
Results A total of 198 patients (108 unilateral RD, 31 bilateral RD, 16
PUV, and 43 MCDK) with a follow-up period of 80 (1.5–240) months were included.
The overall consanguinity rate was 22%, whereas it was 56% in bilateral RD
patients. Two-thirds had additional urogenital anomalies. Hypertension was
detected in 16% of the patients, and 20% had median proteinuria of 16 (5.2–173)
mg/m2/h, which was significantly higher in the PUV and bilateral
RD groups. The overall rate of CKD was 23%, which was more frequent in bilateral
RD and PUV groups. The median age at end-stage renal disease was 91.5 (0.5–208)
months, including 12 renal transplant patients.
Conclusions As different subtypes of RD have distinct clinical and
prognostic features, the follow-up of RD patients should be individualized, and
modifiable complications such as proteinuria and HT should be monitored
closely.
A Prospective Study on Different Doses of Gammaglobulin Plus Aspirin
in the Pediatric Kawasaki Disease and the Impacts on CRP and WBC Levels
Authors: Su Xiufang , Wang Pingping , Li Biao 
Published: September 2024

Abstract
Objective To evaluate the efficacy of different doses of gammaglobulin
combined with aspirin in treating pediatric Kawasaki disease and its impact on
C-reactive protein (CRP) and white blood cell (WBC) levels.
Methods A prospective study was conducted with 150 children (3groups)
diagnosed with Kawasaki disease. Group A received a higher dose of intravenous
gammaglobulin (2.5 g/kg) combined with aspirin, Group B received a standard dose
of intravenous gammaglobulin (2 g/kg) combined with aspirin, and Group C
received a lower dose of intravenous gammaglobulin (1 g/kg) combined with
aspirin. All groups received oral aspirin therapy (30 mg/kg/day) for a standard
duration. The time to symptom improvement, treatment efficacy, laboratory
parameters, and adverse reactions were monitored and analyzed.
Results Group B showed a shorter time to symptom relief compared to Groups
A and C, particularly in fever reduction, mucosal congestion, cervical lymph
node enlargement, and limb symptoms. The total effective rate was higher in
Group B compared to Groups A and C. Group B showed improvements in WBC, CRP,
ESR, and PLT levels.
Conclusion Standard-dose intravenous gammaglobulin combined with aspirin
was more effective in treating pediatric Kawasaki disease compared to higher and
lower doses. The treatment regimen in Group B resulted in shorter time to
symptom relief, higher total effective rate, improved biochemical markers.
Incidence of adverse reactions was similar among the three groups, demonstrating
the safety of standard dosage.
Evidenzbasierte Praxis lernen – Multiperspektivische
Kompetenzentwicklung am Beispiel der generalisierten
Angststörung
Authors: Flückiger Christoph , Munder Thomas , Schürmann-Vengels Jan 
Published: September 2024

ZusammenfassungIm Rahmen der evidenzbasierten Praxis der American Psychological Association
(APA, 2006) werden psychotherapeutische Kernkompetenzen zumeist
transdiagnostisch und transtheoretisch formuliert, schließen die systematische
Berücksichtigung von symptomspezifischen Aspekten jedoch nicht aus. In diesem
Artikel wird anhand eines exemplarischen Fallbeispiels einer Person, die an
einer generalisierten Angststörung leidet, aufgezeigt, wie Kernkompetenzen der
evidenzbasierte Praxis angewandt werden können. Die Teilaspekte der
Kompetenzentwicklung beziehen sich auf (1) Abklärung und Psychodiagnostik, (2)
gemeinsame Erarbeitung eines Erklärungsmodells, (3) Einbezug symptomspezifischer
Modelle, (4) breite Mitberücksichtigung stringenter Interventionen, (5)
Anwendung verschiedener Behandlungsmodalitäten, sowie (6)
patient:innenfokussierte Behandlungsdurchführung. Der Beitrag schließt mit einer
Auflistung von Studienbeispielen wie psychotherapeutische Kompetenzentwicklung
im Rahmen des evidenzbasierten Praxis Modells erforscht werden kann.
The Application of Bicyclo[1.1.1]pentane as a Bioisostere of the Phenyl Ring in Pharmaceutical Chemistry
Authors: Fang Zhuohan , Xu Qian , Lu Xuehe , Yang Wu-Lin , Wan Nianfeng 
Published: September 2024

AbstractBicyclo[1.1.1]pentane (BCP) is a bridging ring skeleton with three-dimensional structure. BCP is a bioisostere of the phenyl ring, tert-butyl group, and alkynes; it has excellent physical and chemical properties compared with phenyl ring, so it has been widely considered by the pharmaceutical chemistry. This short review examines related reports of BCP as a bioisostere of the phenyl ring, and the changes in physicochemical properties and biological activity after substitution. The solubility, clogP, and metabolic toxicity of the drug are improved by BCP bioisosteres, but the biological activity of BCP is lower than the phenyl ring. The application of BCP in drug research and development will be further expanded to provide more possibilities for future drug innovation and development.1	Introduction2	Replacement of Phenyl Rings by BCP3	Conclusion
Quantifying coherence with principal diagonal elements of density matrix
Authors: Hazra Manis , Goswami Debabrata 
Published: September 2024

Being the key resource in quantum physics, the proper quantification of coherence is of utmost importance. Amid complex-looking functionals in quantifying coherence, we set forth a simple and easy-to-evaluate approach: principal diagonal difference of coherence (CPDD), which we prove to be non-negative, self-normalized, and monotonic (under any incoherent operation). In an attempt to extend CPDD in the domain of mixed states, we propose a simple, generic expression (applicable to other pure state coherence measures as well). To validate this theory, we consider a fictitious two-qubit system (both interacting and non-interacting) and, through the laser pulse–system interaction (semi-classical approach), compare the coherence evolution of CPDD with the relative entropy of coherence (Cr⋅e) and the l1-norm of coherence (Cl1), in both pure- and mixed-state regimes. The results from both the numerical and analytical (for a two-level system) studies clearly demonstrate a better sensitivity of CPDD in the close proximity of the maximally coherent states (MCS) than Cr⋅e or Cl1. To the best of our knowledge, CPDD is the only quantifier (among all existing coherence quantifiers) that is a linear function of density-matrix elements.
Precise Determination of the Bottom-Quark On-Shell Mass Using Its Four-Loop Relation to the

MS

¯

-Scheme Running Mass
Authors: Ma 麻 Shun-Yue 顺跃 , Huang 黄 Xu-Dong 旭东 , Zheng 郑 Xu-Chang 绪昌 , Wu 吴 Xing-Gang 兴刚 
Published: September 2024

Abstract
We explore the properties of the bottom-quark on-shell mass (Mb
) by using its relation to the

MS

¯

mass (

m
¯

b

). At present, this

MS

¯

-on-shell relation has been known up to four-loop QCD corrections, which however still has a ∼ 2% scale uncertainty by taking the renormalization scale as

m
¯

b

(

m
¯

b

)

and varying it within the usual range of

[

m
¯

b

(

m
¯

b

)
/
2
,
2

m
¯

b

(

m
¯

b

)
]

. The principle of maximum conformality (PMC) is adopted to achieve a more precise

MS

¯

-on-shell relation by eliminating such scale uncertainty. As a step forward, we also estimate the magnitude of the uncalculated higher-order terms by using the Padé approximation approach. Numerically, by using the

MS

¯

mass

m
¯

b

(

m
¯

b

)
=
4.183
±
0.007

GeV as an input, our predicted value for the bottom-quark on-shell mass becomes

M
b

≃

5.372

−
0.075

+
0.091

GeV, where the uncertainty is the squared average of the ones caused by Δαs
(MZ
),

Δ

m
¯

b

(

m
¯

b

)

, and the estimated magnitude of the higher-order terms.
Characterization study of deep-level defect spatial distribution, emission mechanisms, and structural identification
Authors: Wang Zilan , Yang Jiapeng , Li Haoyang 
Published: September 2024

Abstract
The characterization of defects in semiconductor materials and devices is crucial for enhancing the performance and reliability of semiconductor products. This tutorial review focuses on deep level transient spectroscopy (DLTS) as the primary analytical tool, thoroughly discussing its distinct advantages in deep-level defect characterization. However, it is unable to reveal the concentration-depth distribution of deep-level defects, neglects the dependency of carrier emission rates on the electric field, and fails to accurately identify defect structures. To overcome these limitations, three enhanced DLTS techniques have been developed to extend the capabilities of DLTS. These enhancements include the utilization of graded filling pulse technology to accurately map defect distributions at various depths within devices, facilitating individual defect characterization across different layers of multilayered structures; the application of varying electric field strengths to samples to delve into the intricate physical mechanisms of defects during carrier emission processes; and the adjustment of the duration of electric pulse injection to monitor signal growth trends, deducing the microstructure of defects. The paper integrates research findings from a wide array of field experts, meticulously outlines a description of how to obtain the depth distribution of defect concentration in devices, furnishes quantitative criteria for both the Poole–Frenkel effect and phonon-assisted tunneling mechanisms of carrier emission, and provides specific examples for distinguishing between interface states/bulk defects and point defects/extended defects. This enhances both the theoretical and practical knowledge in this field. The advanced DLTS techniques outlined provide crucial guidance for defect characterization and performance optimization in semiconductor devices with new structures and materials.
Mirror-coupled plasmonic nanostructures for enhanced in-plane magnetic dipole emission
Authors: Yao Ruizhao , Lan Sheng , Li Guang-Can 
Published: September 2024

Abstract
Self-assembling of plasmonic nanoparticles into an oligomer can produce optical nanoantennas with resonant magnetic responses, which constitutes a promising platform to study magnetic light-matter interactions at the nanoscale. However, these self-assembled magnetic nanostructures typically feature a flat-lying geometric configuration, giving rise to out-of-plane magnetic dipole (MD) moments that cannot couple to the far-field light efficiently. Herein, we propose a new geometric configuration of plasmonic nanoantennas to realize in-plane MD responses. This is achieved by elegantly coupling a plasmonic nanoparticle oligomer to one or more adjacent metal mirrors, virtually forming a vertically standing nanoparticle tetramer or trimer, yet with in-plane MD moments. We verified this design strategy by numerically simulating the resonance responses of three typical mirror-coupled nanostructures, all exhibiting pronounced resonant MD characters. Furthermore, optical magnetic emitters can be readily coupled to these plasmonic nanoantennas and gain an emission enhancement of two orders of magnitude while simultaneously featuring a high emission directionality (collection efficiency up to

∼
70
%

evaluated with common microscopy optics). We believe these mirror-enabled magnetic nanoantennas could lead to novel nanophotonic devices fully exploiting the magnetic nature of light.
Emergence of topological phase and non-trivial surface states in rare-earth semimetal GdSb with pressure
Authors: Nidhi  , Kumar Ramesh , Bibiyan Ramesh K , Singh Mukhtiyar 
Published: September 2024

Abstract
We study the evolution of band topology under external pressure in rare-earth gadolinium mono-antimonide (GdSb) using first-principles calculations. This material crystallizes in a rocksalt-type structure and shows a structural phase transition (SPT) to a CsCl-type structure at 26.1 GPa. The phonon dispersions are analyzed to ascertain the dynamical stability of this material. We use hybrid density functional theory with the inclusion of spin–orbit coupling to investigate the structural, electronic, and topological phase transitions (TPTs). At ambient pressure, GdSb shows a topologically trivial state which is in agreement with existing experimental reports. The first TPT is observed at 6 GPa of hydrostatic pressure (at the high symmetry X-point) which is verified with the help of single-band inversion and surface state analysis along the (001) plane. The non-zero value of the first Z2 topological invariant and the presence of the Dirac cone also confirm the topological phase of this material. A further increase in pressure to 12 GPa results in two band inversions at Γ- as well as X-points, which corresponds to the trivial nature of GdSb. The same is also verified with (0; 000) values of Z2 topological invariants and a pair of Dirac cones in surface states. It is noted that the crystal symmetries are preserved throughout the study and the TPT values are much lower than the SPT pressure, i.e. 26.1 GPa.