bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sunk cost sensitivity during change-of-mind decisions is informed by both the spent and remaining costs
Authors: Redish A. David , Abram Samantha V. , Cunningham Paul J. , Duin Anneke A. , Durand-de Cuttoli Romain , Kazinka Rebecca , Kocharian Adrina , MacDonald Angus W. , Schmidt Brandy , Schmitzer-Torbert Neil , Thomas Mark J. , Sweis Brian M. 
Published: December 2022

AbstractSunk cost sensitivity describes escalating decision commitment with increased spent resources. On neuroeconomic foraging tasks, mice, rats, and humans show similar escalations from sunk costs while quitting an ongoing countdown to reward. In a new analysis taken across computationally parallel foraging tasks across species and laboratories, we find that these behaviors primarily occur on choices that are economically inconsistent with the subject’s other choices, and that they reflect not only the time spent, but also the time remaining, suggesting that these are change-of-mind re-evaluation processes. Using a recently proposed change-of-mind drift-diffusion model, we find that the sunk cost sensitivity in this model arises from decision-processes that directly take into account the time spent (costs sunk). Applying these new insights to experimental data, we find that sensitivity to sunk costs during re-evaluation decisions depends on the information provided to the subject about the time spent and the time remaining.
Circ-CREBBP inhibits sperm apoptosis via the PI3K-Akt signaling pathway by sponging miR-10384 and miR-143-3p
Authors: Ding Ning , Zhang Yu , Huang Mengna , Liu Jianfeng , Wang Chonglong , Zhang Chun , Cao Jinkang , Zhang Qin , Jiang Li 
Published: December 2022

AbstractMale reproductive diseases are becoming increasingly prominent, and sperm quality is an important indicator to reflect these diseases. Seminal plasma extracellular vesicles (SPEVs) are involved in sperm motility. However, their effects on sperm remain unclear. Here, we identified 222 differentially expressed circRNAs in SPEVs between boars with high or low sperm motility. We found that circ-CREBBP promoted sperm motility and inhibited sperm apoptosis by sponging miR-10384 and miR-143-3p. In addition, miR-10384 and miR-143-3p can regulate the expression of MCL1, CREB1 and CREBBP. Furthermore, we demonstrated that MCL1 interacted directly with BAX and that CREBBP interacted with CREB1 in sperm. We showed that inhibition of circ-CREBBP can reduce the expression of MCL1, CREB1 and CREBBP and increase the expression of BAX and CASP3, thus promoting sperm apoptosis. Our results suggest that circ-CREBBP may be a promising biomarker and therapeutic target for male reproductive diseases.
A network of mixed actin polarity in the leading edge of spreading cells
Authors: Chung Wen-Lu , Eibauer Matthias , Li Wenhong , Boujemaa-Paterski Rajaa , Geiger Benjamin , Medalia Ohad 
Published: December 2022

AbstractPhysical interactions of cells with the underlying extracellular matrix (ECM) play key roles in multiple cellular processes. The actin cytoskeleton is a central driver and regulator of cellular dynamics, that produces membrane-protrusions such as lamellipodia and filopodia. Here, we examined actin organization in expanding lamellipodia during early stages of cell spreading. To gain insight into the 3D actin organization, we plated fibroblasts on galectin-8 coated EM grids, an ECM protein presents in disease states. We then combined cryo-electron tomography with advanced image processing tools for reconstructing the structure of F-actin in the lamellipodia. This approach enabled us to resolve the polarity and orientation of filaments, and the structure of the Arp2/3 complexes associated with F-actin branches. We show that F-actin in lamellipodial protrusions forms a dense network with three distinct sub-domains. One consists primarily of radial filaments, with their barbed ends pointing towards the membrane, the other is enriched with parallel filaments that run between the radial fibers, in addition to an intermediate sub-domain. Surprisingly, a minor, yet significant (~10%) population of actin filaments, are oriented with their barbed-ends towards the cell center. Our results provide structural insights into F-actin assembly and dynamic reorganization in the leading edge of spreading cells.
Fatty acids derived from the probiotic Lacticaseibacillus rhamnosus HA-114 suppress age-dependent neurodegeneration
Authors: Labarre Audrey , Guitard Ericka , Tossing Gilles , Forest Anik , Bareke Eric , Labrecque Marjorie , Tétreault Martine , Ruiz Matthieu , Alex Parker J. 
Published: December 2022

AbstractThe human microbiota is believed to influence health. Microbiome dysbiosis may be linked to neurological conditions like Alzheimer’s disease, amyotrophic lateral sclerosis, and Huntington’s disease. We report the ability of a probiotic bacterial strain in halting neurodegeneration phenotypes. We show thatLacticaseibacillus rhamnosusHA-114 is neuroprotective inC. elegansmodels of amyotrophic lateral sclerosis and Huntington’s disease. Our results show that neuroprotection fromL. rhamnosusHA-114 is unique from otherL. rhamnosusstrains and resides in its fatty acid content. Neuroprotection byL. rhamnosusHA-114 requiresacdh-1/ACADSB,kat-1/ACAT1andelo-6/ELOVL3/6, which are associated with fatty acid metabolism and mitochondrial β-oxidation. Our data suggest that disrupted lipid metabolism contributes to neurodegeneration and that dietary intervention withL. rhamnosusHA-114 restores lipid homeostasis and energy balance through mitochondrial β-oxidation. Our findings encourage the exploration ofL. rhamnosusHA-114 derived interventions to modify the progression of neurodegenerative diseases.
Fragment screening using biolayer interferometry reveals ligands targeting the SHP-motif binding site of the AAA+ ATPase p97
Authors: Bothe Sebastian , Hänzelmann Petra , Böhler Stephan , Kehrein Josef , Zehe Markus , Wiedemann Christoph , Hellmich Ute A. , Brenk Ruth , Schindelin Hermann , Sotriffer Christoph 
Published: December 2022

AbstractBiosensor techniques have become increasingly important for fragment-based drug discovery during the last years. The AAA+ ATPase p97 is an essential protein with key roles in protein homeostasis and a possible target for cancer chemotherapy. Currently available p97 inhibitors address its ATPase activity and globally impair p97-mediated processes. In contrast, inhibition of cofactor binding to the N-domain by a protein-protein-interaction inhibitor would enable the selective targeting of specific p97 functions. Here, we describe a biolayer interferometry-based fragment screen targeting the N-domain of p97 and demonstrate that a region known as SHP-motif binding site can be targeted with small molecules. Guided by molecular dynamics simulations, the binding sites of selected screening hits were postulated and experimentally validated using protein- and ligand-based NMR techniques, as well as X-ray crystallography, ultimately resulting in the first structure of a small molecule in complex with the N-domain of p97. The identified fragments provide insights into how this region could be targeted and present first chemical starting points for the development of a protein-protein interaction inhibitor preventing the binding of selected cofactors to p97.
Long-term national climate strategies bet on forests and soils to reach net-zero
Authors: Smith Harry B. , Vaughan Naomi E. , Forster Johanna 
Published: December 2022

AbstractThe deployment of carbon dioxide removal is essential to reach global and national net-zero emissions targets, but little attention has been paid to its practical deployment by countries. Here, we analyse how carbon dioxide removal methods are integrated into 41 of the 50 Long-term Low Emission Development Strategies submitted to the United Nations Framework Convention on Climate Change (UNFCCC), before 2022. We show that enhancing forest and soil carbon sinks are the most advocated strategies but are only explicitly quantified in 12. Residual emissions by 2050 are only quantified in 20 strategies and most of them use forests to achieve national net-zero targets. Strategies that quantify both residual emissions and carbon dioxide removal identify national constraints, such as wildfire risks to forests and limited geological CO2 storage capacity. These strategies also highlight the need for international cooperation. Taken together, we suggest that the UNFCCC should urgently strengthen its reporting requirements on long-term national climate strategies.
Service caching decision‐making policy for mobile edge computing using deep reinforcement learning
Authors: Ke Hongchang , Wang Hui , Yang Kun , Sun Hongbin 
Published: December 2022

AbstractMobile user terminals in 5G networks can generate massive computational workloads, which require sufficient computation and caching resources, and the processors of user terminals cannot tackle these workloads. Emerging mobile edge computing (MEC) has become the key to solving the computation problem by offloading computation‐intensive workloads to the MEC server. To make full use of the limited resources on the MEC side, service caching can pre‐store specific executable programs, databases, or libraries for executing offloaded workloads from user terminals. In this study, a service caching‐assisted MEC model is designed. According to the proposed MEC model, a decentralized model‐free deep reinforcement learning algorithm‐based server caching optimization policy (DDSCOP) is proposed to minimize the long‐term weighted average cost. Considering the time‐varying request workloads from user terminals, the stochastic channel state, and the arrival of renewable resources of the MEC server, DDSCOP can find the near‐optimal service caching decision‐making policy by training the neural networks, that is, whether the service caching can be hosted by the MEC server, and which MEC server hosts the service caching. The numerical experimental results verify the convergence and effectiveness of DDSCOP through extensive parameters configuration, and DDSCOP outperforms the three baseline algorithms.
Robust optimal attitude control for hexarotors with disturbances, uncertainties, and delays
Authors: Abdollahi Taleb , Salehfard Sepideh 
Published: December 2022

AbstractA robust optimal attitude controller for hexarotor helicopters is proposed. Compared to the previous research studies on hexarotors, the current study takes account of the influences of non‐linear and coupling dynamics, structured and unstructured uncertainties, external time‐varying disturbances, and input time delays. A linear time‐invariant system is derived for each Euler angle by considering the actual rotational dynamic model as a nominal non‐linear system plus an equivalent perturbation, including non‐linear and coupling dynamics, uncertainties, disturbances, and time delays. Using this approach, a Linear Quadratic Regulation controller is first designed for the nominal linear system of each angle to accomplish the desired tracking performances. Then, a robust compensator based on the robust compensation method is proposed to counteract the effects of the equivalent perturbation on the system. Moreover, the robust attitude tracking property and uniform asymptotical stability of the closed‐loop hexarotor system are proved using Lyapunov stability theory. Several simulations have been performed to demonstrate the effectiveness and robustness of the proposed controller. Finally, experimental results are provided to confirm the robust performance of the proposed controller.
Impact of stator interturn short circuit fault on shaft voltage in a synchronous generator
Authors: He Yu‐Ling , Yang Pei‐Jie , Sun Kai , Xu Zhen‐Li , Wang Hai‐Peng , He Xian‐Long , Gerada David 
Published: December 2022

AbstractShaft voltage often exists in synchronous generators due to the assembly error or various faults after the long‐term performance. The article investigates the shaft voltage characteristic under the stator interturn short circuit (SISC) condition. Different from other studies, this article mainly considers the mapping relationship between the amplitude–frequency characteristics of the shaft voltage and the SISC degrees. The detailed shaft voltage expressions are first derived based on the magnetic flux density under the normal condition and SISC condition. Then the finite element analysis and the experiment is studied on a CS‐5 prototype synchronous generator with two poles in order to validate the theoretical formula. The result shows that there is no shaft voltage in the normal condition, while the shaft voltage is generated obviously under the SISC condition. Meanwhile, the frequency component of the shaft voltage is mainly composed of odd harmonics including the first, third and fifth harmonics.
WaterSegformer: A lightweight model for water body information extraction from remote sensing images
Authors: Yang Xiao , Chen Mingwei , Yu Chengjun , Huang Haozhe , Yue Xiaobin , Zhou Bei , Ni Ming 
Published: December 2022

AbstractAccurate and efficient extraction of water body information from remote sensing images is of great help to monitor water resources at the macro level, natural disaster prediction, and water pollution detection and prevention. Although many large models have achieved extremely high accuracy in remote sensing image water segmentation tasks, lightweight models are still a non‐negligible choice for many application scenarios because of the limitation of computing and storage resources. Here, WaterSegformer is described, an efficient and powerful lightweight water body segmentation model based on Segformer‐b0. The Deepmask module is designed to make the model pay more attention to the details in the image and use Lovász loss to improve IoU. In addition, DeepLabv3+ is used as the teacher model to guide the training of the model in the way of relational knowledge distillation. WaterSegformer realizes 95.06% mIoU on the test set with only 6.38 G and 3.72 M of FLOPs and parameters, respectively. Experimental results show that WaterSegformer achieves an excellent balance between accuracy, computational complexity and model size, which is hardware‐friendly, easy to deploy and enables real‐time segmentation. This method provides a new idea for water body information extraction from remote sensing images in practical applications.
Algorithm of BPNN‐UKF based on a fusion model for SOC estimation in lithium‐ion batteries
Authors: Lin Jiashun , Yang Xiaoquan , Zhou Juan , Wang Guangming , Liu Jianshan , Yuan Yalei 
Published: December 2022

AbstractLithium‐ion batteries (LIBs) are widely used as energy storage devices. Accurately estimating the state of charge (SOC) is critical for the safe operation of LIBs, but the complex internal characteristics of LIBs make this a difficult task. In this study, an algorithm called BPNN‐UKF, which combines the backpropagation neural network (BPNN) and unscented Kalman filtering (UKF), is proposed. First, a fusion model construction method incorporating AdaBoost and recursive least squares (RLS) is developed to enhance the accuracy and generalization of the battery model. Next, the fusion model is applied to create BPNN‐UKF, which reduces the model dependence of UKF and the training requirements of BPNN. In this method, UKF estimates the SOC, and then BPNN learns the nonlinear relationship between SOC estimation error and process variables in UKF preliminary estimation. The BPNN output is used to update the state vector in real time during the new UKF estimation process. Experimental results reveal that the proposed method can drastically improve estimation accuracy compared with the UKF and the simple combined BPNN‐UKF, and it exhibits considerable generalization to common disturbances in SOC estimation and various battery working conditions.
Comparative analysis of photovoltaic performance metrics for reliable performance loss rate
Authors: Lee HyunYong , Lee Jungi , Kim Nac‐Woo , Lee Byung‐Tak 
Published: December 2022

AbstractA reliable performance loss rate of photovoltaic systems requires accurate and reliable performance metrics. This study proposes a systematic method for assessing the performance metrics, particularly predicted power models in terms of both accuracy and uncertainty. The gist of the proposed method is to examine how accurately a predicted power model predicts the manipulated degradation in a controlled environment. For this, the proposed method divides a given dataset evenly into base data (to generate reference performance) and test data (to generate test performance via manipulation) so that the two data have similar features. The proposed method also utilizes the bootstrap iteration to derive a reliable assessment. The novelty of this study is that the proposed method estimates both the accuracy and uncertainty of arbitrary predicted power models, which is missing in existing works. Extensive experiments using the proposed method with real‐world datasets reveal the followings. One interesting observation is that a well‐known machine learning prediction model, not considered in existing works, exhibits the best performance in terms of both accuracy and uncertainty. Existing predicted power models require different experiment settings to produce reliable performance. The number of test data is closely related to uncertainty, but not much related to accuracy.
Einweginstrumente statt Mehrfachverwendung – Ist der Trend zu
Einmalinstrumentarium in der Endoskopie ökologisch
vertretbar?
Authors: Güner Taner , Schmitt Sabine , Eickhoff Axel 
Published: December 2022

ZusammenfassungHunderttausende gingen zuletzt während der “Fridays for
future” Bewegung für mehr Ökologie und Klimaschutz auf
der Straße und demonstrierten für mehr Nachhaltigkeit im Umgang
mit endlichen Ressourcen. Auch in Krankenhäuser und anderen
medizinischen Einrichtungen nimmt dies einen immer höheren Stellenwert
ein. Der Gesundheitssektor ist für 5,6% aller deutschlandweiten
C02-Emissionen verantwortlich, insbesondere durch den hohen Energieverbrauch und
den anfallenden Müll von 6 kg/d pro Patient. Dabei sind
heute die Endoskopie-Abteilungen neben OP und Radiologie die 3.
größten Müllverursacher in den Kliniken. Flexible
Endoskopien stellen einen potentiellen Risikofaktor für klinisch
bedeutsame Infektionen dar. Relevant sind dabei exogene Infektionen, die durch
eine Übertragung von kontaminiertem Material über Endoskope und
des endoskopischen Zubehörs (Zangen, Schlingen, Clips etc.) auftreten
können. Der Trend zum endoskopischen Einweginstrumentarium begann vor
über 20 Jahren und inzwischen sind fast alle in der flexiblen Endoskopie
verwendeten Produkte Einmalmaterialien. In den letzten 5 Jahren wird vermehrt
über den Einsatz von Einmal-Endoskopen diskutiert und inzwischen sind
neben den bekannten Einweg-Bronchoskopen auch die ersten Einweg-Duodenoskope und
Gastroskope zugelassen. Bei den grundsätzlich von jedem Patienten
ausgehenden Kontaminations- und Infektionsrisiken wäre aus rein
hygienischer Sicht die Nutzung von Einmal-Endoskopen für jeden Patienten
wünschenswert, was aber bei der aktuellen Kosten- und
Vergütungsstruktur gesundheitsökonomisch und insbesondere auch
ökologisch sehr diskussionswürdig erscheint. Ob hierdurch eine
höhere Patientensicherheit und bessere Behandlungsqualität
erzielt wird, kann theoretisch vermutet jedoch klinisch nicht bewiesen werden.
Zukünftig werden für die Beurteilung und Auswahl unserer
Endoskope/Zubehör nicht nur wie bisher medizinische und
ökonomische Faktoren herangezogen, sondern insbesondere auch die
ökologischen Folgen verstärkt in den Fokus rücken. Die
Fachgesellschaften und Ärzte aber auch die Medizinproduktebetreiber
müssen sich dieser Herausforderung stellen. Zu fordern ist hier an
allererster Stelle eine reale und valide Analyse des sogenannten
CO2-Fußabdrucks bzw. der Klimabilanz der verwendeten Instrumente und
Endoskope inklusive der Möglichkeit, diese einem adäquaten
Recyclingprozess zuführen zu können.
Vermeidung drogeninduzierter Mortalität nach
Haftentlassung
Authors: Stöver Heino , Michels IngoIlja 
Published: December 2022

ZusammenfassungDie Haftentlassung stellt für Konsumierende von Opioiden einen riskanten
Übergang in die Freiheit dar. Insbesondere innerhalb der ersten
10–14 Tage liegt das Risiko einer drogeninduzierten
Überdosierung, im schlimmsten Fall mit Todesfolge, besonders hoch.
Medizinische Maßnahmen zur Vermeidung dieser gesundheitlichen Risiken
für die Zielgruppe sind zum einen eine kontinuierliche
substitutionsgestützte Behandlung vor, während und nach der
Inhaftierung, und zum anderen die Aufklärung über und der Zugang
zu Naloxon als Antidot bei Opioidüberdosierung. Dieser Beitrag gibt
einen Überblick über die aktuellen Zahlen zu Drogentoten nach
Haftentlassung in Deutschland sowie über bestehende wissenschaftliche
Erkenntnisse zur Wirksamkeit von substitutionsgestützter Behandlung und
Naloxon-Vergabe in der Versorgung von Opioidkonsumierenden an der Schnittstelle
zwischen Haft und Freiheit. Schließlich werden notwendige
Maßnahmen zur Vermeidung von drogeninduzierten Überdosierungen
mit Todesfolge aufgezeigt. Hierfür wurden eine selektive
Literaturrecherche sowie eine Befragung der Landeskriminalämter in 16
Bundesländern durchgeführt, um einen Überblick
über die aktuelle Situation in Deutschland zu erhalten.
Nicht zervikogener Schwindel, sondern Benigner Paroxysmaler Lagerungsschwindel
Authors: Schädler Stefan 
Published: December 2022

ZusammenfassungPatient*innen, die sich mit der Diagnose „Zervikogener Schwindel“ in der physiotherapeutischen Praxis vorstellen, sind in einigen Fällen fehldiagnostiziert und leiden eigentlich unter einem gutartigen Lagerungsschwindel. Oft stellt sich dabei die Frage: Wie wird ein benigner paroxysmaler Lagerungsschwindel (BPLS) erkannt und erfolgreich behandelt? In diesem Artikel werden die Grundlagen des BPLS und des zervikogenen Schwindels dargestellt und aufgezeigt, wie diese differenziert werden können. Anhand dreier exemplarischer Fallbeispiele von Patient*innen mit der Diagnose „Zervikogener Schwindel“ wird dargelegt, wie Physiotherapeut*innen mittels Anamnese und hypothesengesteuerter Untersuchung einen BPLS identifizieren und mit entsprechendem Manöver erfolgreich behandeln können. Ein BPLS erfordert andere Behandlungstechniken als ein zervikogener Schwindel und benötigt in der Regel nur wenige Sitzungen.
Cognitive and Brain Gray Matter Changes in Children with Obstructive Sleep Apnea: A Voxel-Based Morphological Study
Authors: Hongbin Li , Zhuo Li , Guixiang Wang , Jing Zhao , Hua Wang , Yue Liu , Binbin Nie , Jie Zhang , Jun Tai , Xin Ni 
Published: December 2022

Abstract
Background To explore the neural difference between children with obstructive sleep apnea (OSA) and healthy controls, together with the relation between this difference and clinical severity indicator of children with OSA.
Methods Twenty-seven children with OSA (7.6 ± 2.5 years, apnea hypopnea index [AHI]: 9.7 ± 5.3 events/h) and 30 healthy controls (7.8 ± 2.6 years, AHI: 1.7 ± 1.2 events/h) were recruited and matched with age, gender, and handedness. All children underwent 3.0 T magnetic resonance imaging of the brain and cognitive testing evaluating. Volumetric segmentation of cortical and subcortical structures and voxel-based morphometry were performed. Pearson's correlation analysis was performed between these features of gray matter volume (GMV) and obstructive apnea index (OAI) among children with OSA.
Results In the comparison of children's Wechsler test scores of full-scale intelligence quotient and verbal intelligence quotient, the OSA group was significantly lower than the control group (p < 0.05). Compared with the control group, the GMV of many brain regions in the OSA group was significantly decreased (p < 0.05). In the correlation analysis of GMV and OAI in OSA group, right inferior frontal gyrus volume was significantly negatively correlated with OAI (r = − 0.49, p = 0.02).
Conclusion Children with OSA presented abnormal neural activities in some brain regions and impaired cognitive functions. This finding suggests an association between the OSA and decreased GMV in children.