bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scattering Evidence for an Ancient Subducted Slab Using the Unique Raypath P*PKP
Authors: Zhang Hao , Vidale John E. , Wang Wei 
Published: September 2024

AbstractWe observe high‐frequency scatterers consistent with the interpretation of a tabular high‐velocity structure under the Indian Ocean as an ancient subducted slab. We use a previously rarely used raypath, P waves scattered in the slab into PKP waves (PKP), from 12 earthquakes and explosions in five locations recorded on the antique LASA (Large Aperture Seismic Array) located in Montana, United States. The scatterers concentrate in the mantle transition zone and 1,500 km depths, in the locations where the fast anomalies in the tomography broaden and strengthen. Our inference that the slab lingers in the upper‐ and mid‐mantle despite subducting and detaching more than 130 million years ago suggests that models of slabs sinking into the mantle may have to accommodate such long‐term stagnation.
Wavefield Reconstruction of Distributed Acoustic Sensing: Lossy Compression, Wavefield Separation, and Edge Computing
Authors: Ni Yiyu , Denolle Marine A. , Shi Qibin , Lipovsky Bradley P. , Pan Shaowu , Kutz J. Nathan 
Published: September 2024

AbstractDistributed acoustic sensing (DAS) presents challenges and opportunities for seismological research and data management. This study explores wavefield reconstruction using deep learning methods for data compression and wavefield separation. We test various architectures to treat DAS data as two‐dimensional arrays, such as the implicit neural representation (INR) models and the SHallow REcurrent Decoder (SHRED) model. The INR models present better data compression ability but do not generalize over space and time, a major practical limitation. On the other hand, SHRED generalizes over space and time for a single optical fiber with data from 20% decimated channels for the reconstruction. Despite good performance in reconstructing long‐wavelength features, the shallow recurrent decoder does not reconstruct transient earthquake wavefields at shorter wavelengths, limiting its usability for seismic data transmission. Nevertheless, we leverage wavefield reconstruction of ocean waves to separate them from the seismic wavefield and improve seismological use cases for earthquake detection and Earth imaging. In summary, as a lightweight deep learning model, SHRED is well suited for wavefield separation and lossy compression of the DAS data.
Effects of intranasal oxytocin on fear extinction learning
Authors: Rashidi Mahmoud , Simon Joe J. , Bertsch Katja , Wegen Gerhard Vincent , Ditzen Beate , Flor Herta , Grinevich Valery , Wolf Robert Christian , Herpertz Sabine C. 
Published: September 2024

Abstract
Once a threat no longer exists, extinction of conditioned fear becomes adaptive in order to reduce allotted resources towards cues that no longer predict the threat. In anxiety and stress disorders, fear extinction learning may be affected. Animal findings suggest that the administration of oxytocin (OT) modulates extinction learning in a timepoint-dependent manner, facilitating extinction when administered prior to fear conditioning, but impairing it when administered prior to extinction learning. The aim of the present study was to examine if these findings translate into human research. Using a randomized, double-blind, placebo-controlled, 2-day fear conditioning and extinction learning design, behavioral (self-reported anxiety), physiological (skin conductance response), neuronal (task-based and resting-state functional magnetic resonance imaging), and hormonal (cortisol) data were collected from 124 naturally cycling (taking no hormonal contraceptives) healthy females. When administered prior to conditioning (Day 1), OT, similar to rodent findings, did not affect fear conditioning, but modulated the intrinsic functional connectivity of the anterior insula immediately after fear conditioning. In contrast to animal findings, OT impaired, not facilitated, extinction learning on the next day and increased anterior insula activity. When administered prior to extinction learning (day 2), OT increased the activity in the bilateral middle temporal gyrus, and similar to animal findings, reduced extinction learning. The current findings suggest that intranasal OT impedes fear extinction learning in humans regardless of the timepoint of administration, providing new insights and directions for future translational research and clinical applications.
Mesenchymal stem cells in tumor microenvironment: drivers of bladder cancer progression through mitochondrial dynamics and energy production
Authors: Yang Enguang , Jing Suoshi , Wang Fang , Wang Hanzhang , Fu Shengjun , Yang Li , Tian Junqiang , Golijanin Dragan J. , El-Deiry Wafik S. , Cheng Liang , Wang Zhiping 
Published: September 2024

AbstractMesenchymal stem cells (MSCs) in tumor microenvironment (TME) are crucial for the initiation, development, and metastasis of cancer. The impact and mechanism of MSCs on bladder cancer are uncertain. Here we analyzed 205 patient samples to explore the relationships between tumor-stroma ratio and clinicopathological features. A co-culture model and nude mouse transplantation were used to explore the biological roles and molecular mechanisms of MSCs on bladder cancer cells. We found that a high tumor-stroma ratio was significantly associated with a larger tumor size and higher T stage, pathological grade, number of vascular invasions, and poor overall survival. MSCs in TME promoted the ability of bladder cancer cells to proliferate, migrate, and invade in vitro and in vivo. Next, we demonstrated that MSCs enhance mitochondrial autophagy and mitochondrial biogenesis of bladder cancer cells, and increase energy production, thereby promoting bladder cancer cell progression. Kynurenine (Kyn) produced by MSCs could enhance mitochondrial function by activating the AMPK pathway. IDO1 inhibitor could reverse the tumor‑promoting effects of MSCs in vitro and in vivo. Our results demonstrated that tryptophan metabolites Kyn of MSCs in TME could enhance mitochondrial function by activating the AMPK pathway, thereby promoting bladder cancer cell progression.
Oxa-Iboga alkaloids lack cardiac risk and disrupt opioid use in animal models
Authors: Havel Václav , Kruegel Andrew C. , Bechand Benjamin , McIntosh Scot , Stallings Leia , Hodges Alana , Wulf Madalee G. , Nelson Mel , Hunkele Amanda , Ansonoff Michael , Pintar John E. , Hwu Christopher , Ople Rohini S. , Abi-Gerges Najah , Zaidi Saheem A. , Katritch Vsevolod , Yang Mu , Javitch Jonathan A. , Majumdar Susruta , Hemby Scott E. , Sames Dalibor 
Published: September 2024

AbstractIbogaine and its main metabolite noribogaine provide important molecular prototypes for markedly different treatment of substance use disorders and co-morbid mental health illnesses. However, these compounds present a cardiac safety risk and a highly complex molecular mechanism. We introduce a class of iboga alkaloids – termed oxa-iboga – defined as benzofuran-containing iboga analogs and created via structural editing of the iboga skeleton. The oxa-iboga compounds lack the proarrhythmic adverse effects of ibogaine and noribogaine in primary human cardiomyocytes and show superior efficacy in animal models of opioid use disorder in male rats. They act as potent kappa opioid receptor agonists in vitro and in vivo, but exhibit atypical behavioral features compared to standard kappa opioid agonists. Oxa-noribogaine induces long-lasting suppression of morphine, heroin, and fentanyl intake after a single dose or a short treatment regimen, reversal of persistent opioid-induced hyperalgesia, and suppression of opioid drug seeking in rodent relapse models. As such, oxa-iboga compounds represent mechanistically distinct iboga analogs with therapeutic potential.
Ocean warming as a trigger for irreversible retreat of the Antarctic ice sheet
Authors: Hill Emily A. , Gudmundsson G. Hilmar , Chandler David M. 
Published: September 2024

AbstractWarmer ocean conditions could impact future ice loss from Antarctica due to their ability to thin and reduce the buttressing of laterally confined ice shelves. Previous studies highlight the potential for a cold to warm ocean regime shift within the sub-shelf cavities of the two largest Antarctic ice shelves—the Filchner–Ronne and Ross. However, how this impacts upstream ice flow and mass loss has not been quantified. Here using an ice sheet model and an ensemble of ocean-circulation model sub-shelf melt rates, we show that transition to a warm state in those ice shelf cavities leads to a destabilization and irreversible grounding line retreat in some locations. Once this ocean shift takes place, ice loss from the Filchner–Ronne and Ross catchments is greatly accelerated, and conditions begin to resemble those of the present-day Amundsen Sea sector—responsible for most current observed Antarctic ice loss—where this thermal shift has already occurred.
An open dataset for individual tree detection in UAV LiDAR point clouds and RGB orthophotos in dense mixed forests
Authors: Dubrovin Ivan , Fortin Clement , Kedrov Alexander 
Published: September 2024

AbstractWe present an open access dataset for development, evaluation, and comparison of algorithms for individual tree detection in dense mixed forests. The dataset consists of a detailed field inventory and overlapping UAV LiDAR and RGB orthophoto, which make it possible to develop algorithms that fuse multimodal data to improve detection results. Along with the dataset, we describe and implement a basic local maxima filtering baseline and an algorithm for automatically matching detection results to the ground truth trees for detection algorithm evaluation.
Size-dependent Curie temperature of Ni nanoparticles from spin-lattice dynamics simulations
Authors: dos Santos Gonzalo , Urbassek Herbert M. , Bringa Eduardo M. 
Published: September 2024

AbstractThe magnetic properties of Ni nanoparticles (NPs) with diameter D are investigated using spin-lattice dynamics (SLD) simulations. Using exchange interactions fitted to ab-initio results we obtain a Curie temperature, $$T_c$$

T
c

, similar, but lower, than experiments. In order to reproduce quantitatively the bulk Curie temperature and the experimental results, the exchange energy has to be increased by 25% compared to the ab-initio value. During the simulated time, Ni NPs remain ferromagnetic down to the smallest sizes investigated here, containing around 500 atoms. The average magnetic moment of the NPs is slightly smaller than that determined experimentally. By considering a core-shell model for NPs, in which the shell atoms are assigned a larger magnetic moment, this discrepancy can be removed. $$T_c$$

T
c

is lower for a moving lattice than for a frozen lattice, as expected, but this difference decreases with NP size because smaller NPs include higher surface disorder which dominates the transition. For NPs, $$T_c$$

T
c

decreases with the NP diameter D by at most 10% at $$D=2$$

D
=
2

nm, in agreement with several experiments, and unlike some modeling or theoretical scaling results which predict a considerably larger decrease. The decrease of $$T_c$$

T
c

is well described by finite-size scaling models, with a critical exponent that depends on the SLD settings for a frozen or moving lattice, and also depends on the procedure for determining $$T_c$$

T
c

. Extrapolating the inverse of the magnetization as function of temperature near $$T_c$$

T
c

gives a lower $$T_c$$

T
c

than the maximum of the susceptibility.
SUN2 mediates calcium-triggered nuclear actin polymerization to cluster active RNA polymerase II
Authors: Ulferts Svenja , Grosse Robert 
Published: September 2024

AbstractThe nucleoskeleton is essential for nuclear architecture as well as genome integrity and gene expression. In addition to lamins, titin or spectrins, dynamic actin filament polymerization has emerged as a potential intranuclear structural element but its functions are less well explored. Here we found that calcium elevations trigger rapid nuclear actin assembly requiring the nuclear membrane protein SUN2 independently of its function as a component of the LINC complex. Instead, SUN2 colocalized and associated with the formin and actin nucleator INF2 in the nuclear envelope in a calcium-regulated manner. Moreover, SUN2 is required for active RNA polymerase II (RNA Pol II) clustering in response to calcium elevations. Thus, our data uncover a SUN2-formin module linking the nuclear envelope to intranuclear actin assembly to promote signal-dependent spatial reorganization of active RNA Pol II.
Dynamic state estimation of distribution network under Markov DOS attack
Authors: Wang Yihe , Zhang Na , Yang Fangyuan , Yang Shuo , Yang Bo , Wang Huan 
Published: September 2024

AbstractEnergy information is vulnerable to malicious denial of service (DoS) attacks due to the diversity and openness of the smart grid environment. In order to cope with the above challenges, this paper first proposes to adopt Markov hopping model to describe the random packet loss of measurement due to DoS attacks. Then, based on Holt two‐parameter exponential smoothing and untraced Kalman filtering techniques, a one‐step predictive value compensation method for measurement data loss is proposed, and an improved dynamic untraced particle filtering algorithm based on data fusion compensation strategy is designed. Finally, an IEEE‐30 bus system is used to simulate the proposed dynamic state estimation method, which proves that the proposed method can effectively resist DoS attack.
Posterior Cramér–Rao lower bounds for extended target tracking with PMBM conjugate recursion
Authors: Xie Xingxiang , Zhao Xiongwei , Song Zhumei , Li Kening 
Published: September 2024

AbstractThis letter considers the posterior Cramér–Rao lower bounds (PCRLB) problem for extended target tracking from a stack of measurement data that are modelled as random variables in the random finite sets framework. The scalars in the traditional PCRLB are converted into vectors based on random finite sets to derive a theoretical lower bound. In this way, the proposed method can be applied to the multi‐target tracking problem and accommodates scenarios with targets of varying. Moreover, solving the data association problem from four parts caused by the conjugate update of the Poisson multi‐Bernoulli mixture filter is considered. Simulation results are presented to verify the effectiveness of the derived PCRLB.
Construction of ZnCo2O4/Ag3PO4 composite photocatalyst for enhanced photocatalytic performance
Authors: Liu Jiayi , Hu Jiafeng , Hu Hao , Zhou Xiaotao , Wang Qiwei , Wei Weizhi , Liu Wenhui 
Published: September 2024

AbstractIn this study, ZnCo2O4/Ag3PO4 composite catalyst was prepared by the precipitation method, and their performance in the photocatalytic degradation of methyl orange (MO) was studied. The catalysts were characterized by scanning electron microscopy, high‐resolution transmission electron microscopy, X‐ray diffraction, energy‐dispersive X‐ray spectroscopy, selected area electron diffraction, X‐ray photoelectron spectroscopy, and UV‐Vis diffuse reflectance spectroscopy. The results indicate that the 0.1 ZnCo2O4/Ag3PO4 composite system has good photocatalytic activity in the degradation of methyl orange. Under simulated sunlight conditions, the degradation rate can reach 94% after 30 min. The maximum reaction rate constant of 0.1 ZnCo2O4/Ag3PO4 was 0.05301 min−1, which is 3 times and 52 times the rate constant of pure Ag3PO4 and pure ZnCo2O4, respectively. In catalyst recycling experiments, 0.1 ZnCo2O4/Ag3PO4 still degraded methyl orange at a rate of 84.4% after three cycles. Trapping experiments showed that holes and superoxide radicals mostly contributed to the photocatalytic degradation of methyl orange by the catalyst, while hydroxyl radicals played a partial role. The energy level structure of ZnCo2O4/Ag3PO4 is conducive to the effective separation of photogenerated electrons and holes, improving the lifespan of photogenerated charges. In the investigated catalyst series, 0.1 ZnCo2O4/Ag3PO4 demonstrated the best photocatalytic performance.
Bewegungsversorgung im deutschen Gesundheitssystem:
gesundheitspolitische Relevanz und notwendige Rahmenbedingungen – ein
Positionspapier der AG Bewegungsbezogene Versorgungsforschung des
DNVF
Authors: Schaller Andrea , Thiel Christian , Peters Stefan , Geidl Wolfgang , Sarah Klamroth , Lange Martin , Kastaun Sabrina , Krupp Sonja , Spaderna Heike , Eckert Katharina , Grafe Marion , Voelcker-Rehage Claudia , Nellessen-Martens Gisela , Pfeifer Klaus , Sudeck Gorden , Wiskemann Joachim , Wollesen Bettina , Gabrys Lars 
Published: September 2024

ZusammenfassungAusgehend von der Relevanz einer etablierten und breiten Verankerung von
Bewegungsangeboten in der Gesundheits- und Krankenversorgung in Deutschland
werden im vorliegenden Positionspapier der DNVF AG Bewegungsbezogene
Versorgungsforschung derzeitige konzeptionelle Ansätze der Bewegungsversorgung
vorgestellt und die Notwendigkeit einer interprofessionellen und -disziplinären
Bewegungsversorgung aufgezeigt. Es werden drei zentrale Positionen formuliert
und ausgearbeitet, damit die Evidenz zur Gesundheitswirksamkeit von körperlicher
Aktivität und körperlichem Training stärker im Gesundheitssystem integriert
werden kann und die Bewegungsversorgung vor dem Hintergrund der
Herausforderungen im deutschen Gesundheitswesen einen kosteneffizienten und
qualitativ hochwertigen Beitrag zur Verbesserung der Gesundheitsversorgung
leisten kann. Diese drei Positionen umfassen 1) die Integration aller an der
Versorgung beteiligten Berufsgruppen in die Bewegungsversorgung, 2) die stärkere
Integration von Bewegungsfachberufen und Bewegungsangeboten in alle
Versorgungskontexte und 3) die systematische Berücksichtigung von
Bewegungsexpertise in medizinischen Leitlinien.
Incidence of Early Adverse Events Following Medial Patellofemoral Ligament Reconstruction
Authors: Yalcin Sercan , Seals Karrington , Farrow Lutul D. 
Published: September 2024

AbstractThe current literature lacks data regarding perioperative complications after medial patellofemoral ligament reconstruction (MPFLr). The objective of this study was to identify the incidence and predictors of adverse events in the first 90 days after MPFLr. Patients undergoing primary MPFLr between January 1, 2010, and December 31, 2019, were included. Predictors of readmission for any reason were identified using a multivariable logistic regression analysis. A total of 140 MPFLrs were included in the final analysis. Of these, 17 patients (12.1%) were admitted in the first 90 days after MPFLr. The most common reason for readmission was pain (7/140, 5%), followed by cellulitis (5/140, 3.5%). The only major complication was pulmonary embolism experienced by one patient (1/140, 0.7%). Univariate logistic regression analysis demonstrated that patients who ever smoked were 4.5 times (p = 0.005) more likely to be readmitted in the first 90 days. Although additional soft-tissue procedures increased the readmission rated by 21% (p = 0.810) and additional chondral procedure increased by 35% (p = 0.568), the multivariable analysis did not reveal a significant difference. Surgeons can use this information to counsel patients on what to expect following MPFLr.
The Conversion of Unicompartmental Knee Arthroplasty to Total Knee Arthroplasty with Non-CT-Based Robotic Assistance: A Novel Surgical Technique and Case Series
Authors: Raja Hamza M. , Wesemann Luke , Charters Michael A. , North W. Trevor 
Published: September 2024

AbstractRobotic-assisted devices help provide precise component positioning in conversion of unicompartmental knee arthroplasty (UKA) to total knee arthroplasty (TKA). A few studies offer surgical techniques for computed tomography (CT) based robotic-assisted conversion of UKA to TKA; however, no studies to date detail this procedure utilizing a non-CT-based robotic-assisted device. This article introduces a novel technique employing a non-CT-based robotic-assisted device (ROSA Knee System, Zimmer Biomet, Warsaw, IN) for converting UKA to TKA with a focus on its efficacy in gap balancing. We present three patients (ages 46–66 years) who were evaluated for conversion of UKA to TKA for aseptic loosening, stress fracture, and progressive osteoarthritis. Each patient underwent robotic-assisted conversion to TKA. Postoperative assessments at 6 months revealed improved pain, function, and radiographic stability. Preoperative planning included biplanar long leg radiographs to determine the anatomic and mechanical axis of the leg. After arthrotomy with a standard medial parapatellar approach, infrared reflectors were pinned into the femur and tibia, followed by topographical mapping of the knee with the UKA in situ. The intraoperative software was utilized to evaluate flexion and extension balancing and plan bony resections. Then, the robotic arm guided placement of the femoral and tibial guide pins and the UKA components were removed. After bony resection of the distal femur and proximal tibia, the intraoperative software was used to reassess the extension gap, and plan posterior condylar resection to have the flexion gap match the extension gap. The use of a non-CT-based robotic-assisted device in conversion of UKA to TKA is a novel technique and a good option for surgeons familiar with robotic-assisted arthroplasty, resulting in excellent outcomes at 6 months.
Early Improvement in Postoperative Clinical Outcomes without Patellar Resurfacing in Patella-Friendly Design of Medial Pivot TKA
Authors: Cooper Leo , Owen Brewer , Soeno Tatsuya , Wahl Stephen , Stambough Jeffrey B. , Barnes C. Lowry , Mears Simon C. , Stronach Benjamin M. 
Published: September 2024

AbstractThere is continued debate about the efficacy and indications for patellar resurfacing in total knee arthroplasty (TKA), especially with the emergence of patella-friendly designs. This study aimed to compare the postoperative outcomes in patients undergoing TKA with or without patellar resurfacing using the same implant design. This is a retrospective cohort study of patients who underwent TKA including those with patellar resurfacing (PR group) and those without (NPR group). Demographic data included age, gender, side of surgery, operative time, and body mass index (BMI). Outcomes included preoperative, 2-week, 6-week, and 1-year postoperative Knee Injury and Osteoarthritis Outcome Score and Joint Replacement (KOOS, JR) values along with knee range of motion (ROM). Postoperative complications were recorded. The power analysis with a large effect size indicated that a minimum sample size of 54 was required for Student's t-test and 34 for the paired t-test. A total of 90 medial pivot (MP) TKA were included in this study. There were 30 knees in the PR group and 60 in the NPR group. There was no significant difference between the groups for all demographic data, preoperative and postoperative ROM, and KOOS, JR values at all time points (p > 0.05 for all variables). The KOOS, JR significantly improved in the NPR groups at 2 weeks, 6 weeks, and 1 year postoperatively when compared with the preoperative score and at 6 weeks and 1 year postoperatively in the PR group (p < 0.01). No revisions related to the patellofemoral joint were observed in patients initially undergoing patellar resurfacing. One patient in the NPR group required secondary patellar resurfacing. The patella-friendly MP TKA yielded favorable postoperative outcomes, with or without patellar resurfacing. Improvements in KOOS, JR were observed earlier in the NPR group when compared with the PR group, suggesting that patellar resurfacing may not always be necessary for modern TKA designs.
Level of Evidence Retrospective cohort study, Level III.