bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcatheter tricuspid valve intervention in the presence of a cardiac implantable electronic device; state of the art review
Authors: Basman Craig , Jamal Sameer , Yoon Sung‐Han , Dudiy Yuriy , Anderson Mark , Landers David , Kaple Ryan 
Published: August 2024

AbstractA large proportion of patients referred for transcatheter tricuspid valve intervention (TTVI) will have the presence of a cardiac implantable electronic device (CIED). In such patients, surgical correction of tricuspid regurgitation (TR) is associated with high rates of morbidity and mortality. Transvenous lead extraction (TLE) could potentially ameliorate CIED‐induced TR; however, it carries inherent risks and frequently does not result in TR improvement. As multiple TTVI devices are in trial to gain regulatory approval, understanding which therapy is most appropriate among patients with a CIED is essential. This review centers on the nonsurgical treatment, including TLE and transcatheter tricuspid valve repair and replacement options, aimed at enhancing outcomes in patients with TR who also have concurrent CIEDs.
Coagulation, fibrinolysis and platelet drop in patients undergoing transfemoral transcatheter aortic valve implantation
Authors: Katayama Taiga , Yokoyama Naoyuki , Watanabe Yusuke , Koyama Shuhei , Kawashima Hideyuki , Hioki Hirofumi , Kozuma Ken 
Published: August 2024

AbstractBackgroundTranscatheter aortic valve implantation (TAVI) leads to transient platelet activation and hypercoagulation status, resulting in thrombocytopenia.AimsThis study investigated the associations of coagulation/fibrinolysis status after transfemoral TAVI with valve type, post‐TAVI thrombocytopenia, and complication of TAVI.MethodsThrombin–antithrombin complex (TAT) and fibrin/fibrinogen degradation product (FDP) levels were measured before and 1 h, 1 day, and 2 days after TAVI. A percentage drop in platelet count (DPC) was determined from the pre‐ and lowest post‐procedural values.ResultsSAPIEN 3 (S3) was implanted in 158 patients and Evolut PRO/PRO+ (Evolut) in 117. Both TAT and FDP increased after TAVI. Pre‐TAVI balloon dilatation was generally performed on patients undergoing implantation with Evolut. Peak TAT was then stratified into 4 quartiles (Q1 to Q4). Of all 275 study patients, 69 patients reached ultra‐hypercoagulation status (Q4). S3, TAVI without pre‐balloon dilatation, DPC and bleeding complications were significantly associated with the ultra‐hypercoagulation status after TAVI. TAT was significantly greater 1 h after S3 implantation than Evolut (median [IQR], 43.1 [34.1–59.6] vs. 31.0 [25.0–40.4] ng/mL; p < 0.001). In contrast, FDP levels did not differ between the two at any measurement point. The difference in DPC among the peak TAT quartiles was statistically significant (p < 0.001). The occurrence of bleeding complications was significantly higher in the group with ultra‐hypercoagulation status (5.8% vs. 1.0%, p = 0.036).ConclusionsThe increase in coagulation status and post‐TAVI thrombocytopenia were significantly greater after S3 implantation. Ultra‐hypercoagulation after TAVI was related to bleeding complications.
Depolymerization of Polycarbonates by Transesterification without Using Base, Ionic Liquid, and Additives
Authors: Yamada Kazuki , Komine Nobuyuki , Hirano Masafumi 
Published: August 2024

AbstractLa(III)‐catalyzed depolymerization of polycarbonates produces the raw carbonates and diols by transesterification without the use of bases, ionic liquids or additives. Poly(bisphenol A carbonate) (1 a) is depolymerized by [La(acac)3] (acac: acetylacetonate) (1 mol %) in MeOH at 135 °C for 20 min to give dimethyl carbonate (2 a) (95 %) and bisphenol A (3 a) (93 %). This reaction can also be carried out in the air using MeOH as received and on a 10 gram‐scale. A commercial compact disk (CD) can also be depolymerized quantitatively. Depolymerization of 1 a in EtOH or 1,2‐propanediol produces corresponding carbonate with 3 a. Poly(ethylene carbonate) (1 b) and poly(propylene carbonate) (1 c) are converted into dimethyl carbonate and corresponding glycols in high yields in MeOH. The kinetic study suggests the surface reaction mechanism for the La(III)‐catalyzed depolymerization of 1 a.
Dual Cocatalysts on Covalent Organic Framework as Charge Transfer Mediator Facilitating Photocatalytic Water Oxidation
Authors: Yu Mingfei , Li Qiujun , Li Liuyi , Yu Yan 
Published: August 2024

AbstractCovalent organic frameworks (COFs) have been regarded as promising photocatalytic materials. However, the sluggish diffusion of photoinduced charges in a single‐component COF remains the obstacles that have to be overcome. Here, we demonstrate a synthesis of a COF bearing dual cocatalysts Co3O4 and Re complex as photocatalyst for water oxidation. The dual cocatalysts are coordinated on the COF, and enable the spatial separation of photoinduced charges. The generated electrons were attracted to Re moiety, while the holes were localized on Co3O4 cocatalyst for water oxidation to produce O2 product. The synergy of dual cocatalysts of COF promote the charge separation and redox reaction. Moreover, hydroxyl radicals generated from the hydration of COF contribute to O−O bond formation, which is the key step of O2 formation. Accordingly, an excellent O2 production rate of 400 μmol g−1 h−1 under visible light irradiation was obtained. This work may pave the way to the development of highly efficient COF photocatalysts for solar energy conversion.
Some Views on Multi‐criteria Methods for Data Analysis
Authors: Kiers Henk A. L. , Timmerman Marieke E. 
Published: August 2024

ABSTRACTMany data analysis methods actually combine optimization of several criteria. In this paper, a framework is offered for categorizing such multi‐criteria methods. In particular, it categorizes multiset and three‐way analysis methods as well as penalized methods and combinations thereof. The framework aims to stimulate critical evaluation of methods and reflection on the purpose of methods and, by signaling gaps, to help the development of new data analysis methods.
Copper(II)‐Catalyzed Amination of Aryl Chlorides in Aqueous Ammonia
Authors: Mello Lucas S. , Engel Philipp D. , Orecchia Patrizio , Bleher Katharina , Rominger Frank , Borate Kailaskumar , Goetz Roland , Deglmann Peter , Schäfer Ansgar , Winter Christian , Rack Michael , Comba Peter , Hashmi A. Stephen K. , Schaub Thomas 
Published: August 2024

AbstractAnilines are ubiquitous in bio‐active compounds and their synthesis can be achieved via metal‐catalyzed cross‐coupling reactions involving aryl halides. We describe an unusual, yet simple, CuII‐catalyzed system for the amination of aryl chlorides in pure aqueous ammonia with 2.5 mol % catalyst loading under non‐inert conditions. Different from previous systems, the reaction proceeds even without an additional organic solvent. Copper(II) sulfate in combination with 4,7‐dimethoxy‐1,10‐phenanthroline enabled the amination of several aryl chlorides containing electron‐neutral, ‐donating and ‐withdrawing groups to the corresponding anilines with good to excellent yields. The upscaling potential of the procedure has been shown by the synthesis at 50 mmol scale. The reaction proceeds as one of the rare cases of a CuII‐assisted coupling, in contrast to the typical CuI−CuIII intermediates postulated for most Ullmann‐type coupling reactions. The copper(II) center allows for a nucleophilic substitution pathway, enabled by the deprotonation of coordinated ammonia.
Standardized Production of Anti‐Desmoglein 3 Antibody AK23 for Translational Pemphigus Vulgaris Research
Authors: Mueller Eliane J. , Rahimi Siavash , Sauta Patrizia , Shojaeian Taravat , Durrer Laurence , Quinche Soraya , Francois Michael , Locher Elisabeth , Edler Monika , Illi Marlies , Gentinetta Thomas , Lau Kelvin , Pojer Florence , Borradori Luca , Hariton William V. J. 
Published: August 2024

AbstractAntibody‐mediated receptor activation is successfully used to develop medical treatments. If the activation induces a pathological response, such antibodies are also excellent tools for defining molecular mechanisms of target receptor malfunction and designing rescue therapies. Prominent examples are naturally occurring autoantibodies inducing the severe blistering disease pemphigus vulgaris (PV). In the great majority of patients, the antibodies bind to the adhesion receptor desmoglein 3 (Dsg3) and interfere with cell signaling to provoke severe blistering in the mucous membranes and/or skin. The identification of a comprehensive causative signaling network downstream of antibody‐targeted Dsg3 receptors (e.g., shown by pharmacological activators or inhibitors) is currently being discussed as a basis to develop urgently needed first‐line treatments for PV patients. Although polyclonal PV IgG antibodies have been used as proof of principle for pathological signal activation, monospecific anti‐Dsg3 antibodies are necessary and have been developed to identify pathological Dsg3 receptor–mediated signal transduction. The experimental monospecific PV antibody AK23, produced from hybridoma cells, was extensively tested in our laboratory in both in vitro and in vivo models for PV and proved to recapitulate the clinicopathological features of PV when generated using the standardized production and purification protocols described herein. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: Bovine IgG stripping from FBS and quality controlBasic Protocol 2: AK23 hybridoma expansion and IgG productionBasic Protocol 3: AK23 IgG purificationBasic Protocol 4: AK23 IgG quality controlSupport Protocol 1: Detection of endotoxin levelsSupport Protocol 2: Detection and removal of mycoplasma
A Neural Network–Based Scoring System for Predicting Prognosis and Therapy in Breast Cancer
Authors: Deng Min , Chen Xinyu , Qiu Jiayue , Liu Guiyou , Huang Chen 
Published: August 2024

AbstractBreast cancer is a prevalent malignancy affecting women worldwide. Currently, there are no precise molecular biomarkers with immense potential for accurately predicting breast cancer development, which limits clinical management options. Recent evidence has highlighted the importance of metastatic and tumor‐infiltrating immune cells in modulating the antitumor therapy response. However, the prognostic value of using these features in combination, and their potential for guiding individualized treatment for breast cancer, remains vague. To address this challenge, we recently developed the metastatic and immunogenomic risk score (MIRS), a comprehensive and user‐friendly scoring system that leverages advanced bioinformatics methods to facilitate transcriptomics data analysis. To help users become familiar with the MIRS tool and apply it effectively in analyzing new breast cancer datasets, we describe detailed protocols that require no advanced programming skills. © 2024 Wiley Periodicals LLC.Basic Protocol 1: Calculating a MIRS score from transcriptomics dataBasic Protocol 2: Predicting clinical outcomes from MIRS scoresBasic Protocol 3: Evaluating treatment responses and guiding therapeutic strategies in breast cancer patientsBasic Protocol 4: Guidelines for utilizing the MIRS webtool
An efficient resource scheduling mechanism in LoRaWAN environment using coati optimal Q‐reinforcement learning
Authors: Mahesh J Uma , Mahapatro Judhistir 
Published: August 2024

SummaryIt is estimated that there will be over two dozen billion Internet of Things (IoT) connections in the future as the number of connected IoT devices grows rapidly. Due to characteristics like low power consumption and extensive coverage, low‐power wide area networks (LPWANs) have become particularly relevant for the new paradigm. Long range wide area network (LoRaWAN) is one of the most alluring technological advances in these networks. Although it is one of the most developed LPWAN platforms, there are still unresolved issues, such as capacity limitations. Hence, this research introduces a novel resource scheduling technique for the LoRAWAN network using deep reinforcement learning. Here, the information on the LoRaWAN nodes is learned by the reinforcement technique, and the knowledge is utilized to allocate resources to improve the packet delivery ratio (PDR) performance through a proposed coati optimal Q‐reinforcement learning (CO_QRL) model. Here, Q‐reinforcement learning is utilized to learn the information about nodes, and the coati optimization algorithm (COA) helps to choose the optimal action for enhancing the reward. In the proposed scheduling algorithm, the weighted sum of successfully received packets is treated as a reward, and the server allocates resources to maximize this Q‐reward. The evaluation of the proposed method based on PDR, packet success ratio (PSR), packet collision rate (PCR), time, delay, and energy accomplished the values of 0.917, 0.759, 0.253, 85, 0.029, 7.89, and 10.08, respectively.
The Value of Cultural Models in Eating Disorders Research in Korea: A Call for More Culturally Specific Works
Authors: Kim Yongjoo , Rodgers Rachel F. 
Published: August 2024

ABSTRACTThe study by Monocello et al. presents findings from a cultural model analysis providing support for culturally bounded understandings of weight and shape and body ideals, and identifying factors that vary across culturally anchored weight categories. In this commentary, we highlight the value of utilizing emic perspectives and employing cultural models in research focused on body image and disordered eating, and the usefulness of these empirical data among Korean men who constitute an underrepresented group in the eating disorders literature. In addition, methodological and contextual aspects that warrant consideration in the interpretation of the results are highlighted. Finally, directions for future research are presented focused on body image and disordered eating among Korean men, as well as leveraging cultural models more broadly in the field. We hope that the study by Monocello and colleagues will stimulate additional research that centers the perspectives of underrepresented groups in ways that elevate and honor their experiences and help to shift the field away from a White‐centered perspective.
Motivational underpinnings of support for radical political leaders
Authors: Grzymala‐Moszczynska Joanna , Maj Marta , Szastok Marta , Kruglanski Arie , Jasko Katarzyna 
Published: August 2024

AbstractThe present research examined the idea that followers are more strongly motivated by radical as opposed to moderate political leaders. We derived this idea from the significance quest theory that posits that a desire to feel important and meaningful is one of the fundamental human motives. We expected that voters would be more willing to support political actors when they perceived them as radical as opposed to moderate, because the goals of those radical actors would be more personally important for voters. Consequently, supporters would experience a greater sense of personal significance from supporting such goals, which would motivate them to get engaged on behalf of their candidates. In five studies (N = 2154), including two preregistered replications, spanning two US presidential elections (2016, 2020) and Polish parliamentary elections (2023), we found support for our predictions. The results showed that as followers perceived their candidates as more radical, they viewed the leaders' goals as more personally important, experienced a greater sense of personal significance, and expressed a higher willingness to make sacrifices for the candidates. These results contribute to the understanding of the appeal of radical political actors.
Study on the microscopic percolation mechanism of different aqueous media huff‐n‐puff with cores in Fengxi tight oil reservoirs of Qinghai Oilfield
Authors: Dou Zhuoying , Yang Zhengming , Li Xianming , Feng Chun , Xue Yujianjun , Qiao Liang , Meng Huan , Han Chenyu , Zhang Yapu 
Published: August 2024

AbstractHuff‐n‐puff (HnF) is a crucial technology for effectively enhancing the oil recovery (EOR) of tight oil reservoirs. Soaking period is the primary platform for injection medium interacting with formation fluid and reservoir rock in HnF. Elucidating the micro‐percolation mechanism of the soaking period is immensely significant for guiding oilfield production practices. The present study established a physical simulation method combining HnF experiments with nuclear magnetic resonance to reveal the microscopic percolation mechanisms, including water, fracturing fluid, and surfactant. Furthermore, the impacts of soaking time, HnF cycles, wettability, and pore structure on oil recovery degree were quantified. The results demonstrate the crucial significance of wettability and pore structure in the soaking period. The dominant mechanism during water HnF in reservoirs characterized by well‐connected pore networks and minimal clay pores is micropore imbibition, while conversely, macropore displacement plays a predominant role. The oil recovery degree of fracturing fluid HnF primarily relies on mitigating solid‐fluid forces within macropores. The surfactant HnF in preferential water‐ and oil‐wet reservoirs is primarily governed by oil films stripped from macropore walls and micropore imbibition, respectively. Specifically, water and fracturing fluid HnF are suitable for shorter soaking time and fewer HnF cycles, whereas the surfactant HnF exhibits an inverse relationship.
The mechanism and effect factors of the combustion cycle‐to‐cycle variations in the spark ignition engine
Authors: Duan Xiongbo , Feng Lining , Xia Yan 
Published: August 2024

AbstractThe combustion cycle‐to‐cycle variations (CCV) are the typical combustion phenomena in the internal combustion engine, which will not only affect the combustion efficiency, heat‐work conversion process, and emission formation in the cylinder, but also cause the output torque and power fluctuation, resulting in unstable and even misfire. These phenomena are particularly evident in the spark ignition (SI) engine, especially at idle, acceleration, and high exhaust gas recirculation conditions. Consequently, it is quite important to explore the internal relationship and correlation mechanism between the CCV and the affecting factors. This paper comprehensively reviewed the fundamental reasons and mechanisms of CCV of the SI engine. In addition, the characteristic parameters and characterization methods of the CCV, the laws and influencing factors of the CCV, and the numerical simulation methods of the CCV were introduced in detail to quantitatively analyze the performance, combustion, and emissions characteristics of the SI engine. Each research direction is discussed in detail in various sections. The research status of the CCV of the SI engine from the experimental and numerical simulation aspects was also presented and discussed. Lastly, effective methods and strategies were proposed to improve the combustion process and fuel economy, and reduce exhaust emissions of the SI engine for high efficiency and clean combustion.
Stable rivers: A case study in the application of text‐to‐image generative models for Earth sciences
Authors: Kupferschmidt C. , Binns A.D. , Kupferschmidt K.L. , Taylor G.W. 
Published: August 2024

SummaryText‐to‐image (TTI) generative models can be used to generate photorealistic images from a given text‐string input. However, the rapid increase in their use has raised questions about fairness and biases, with most research to date focusing on social and cultural areas rather than domain‐specific considerations. We conducted a case study for the Earth sciences, focusing on the field of fluvial geomorphology, where we evaluated subject‐area‐specific biases in the training data and downstream model performance of Stable Diffusion (v1.5). In addition to perpetuating Western biases, we found that the training data overrepresented scenic locations, such as famous rivers and waterfalls, and showed serious underrepresentation and overrepresentation of many morphological and environmental terms. Despite biassed training data, we found that with careful prompting, the Stable Diffusion model was able to generate photorealistic synthetic river images reproducing many important environmental and morphological characteristics. Furthermore, conditional control techniques, such as the use of condition maps with ControlNet, were effective for providing additional constraints on output images. Despite great potential for the use of TTI models in the Earth sciences field, we advocate for caution in sensitive applications and advocate for domain‐specific reviews of training data and image generation biases to mitigate perpetuation of existing biases.
Estrogens dynamically regulate neurogenesis in the dentate gyrus of adult female rats
Authors: Yagi Shunya , Mohammad Ahmad , Wen Yanhua , Batallán Burrowes Ariel A. , Blankers Samantha A. , Galea Liisa A. M. 
Published: August 2024

AbstractEstrone and estradiol differentially modulate neuroplasticity and cognition. How they influence the maturation of new neurons in the adult hippocampus, however, is not known. The present study assessed the effects of estrone and estradiol on the maturation timeline of neurogenesis in the dentate gyrus (DG) of ovariectomized (a model of surgical menopause) young adult Sprague–Dawley rats using daily subcutaneous injections of 17β‐estradiol, estrone or vehicle. Rats were injected with a DNA synthesis marker, 5‐bromo‐2‐deoxyuridine (BrdU), and were perfused 1, 2, or 3 weeks after BrdU injection and daily hormone treatment. Brains were sectioned and processed for various markers including: sex‐determining region Y‐box 2 (Sox2), glial fibrillary acidic protein (GFAP), antigen kiel 67 (Ki67), doublecortin (DCX), and neuronal nuclei (NeuN). Immunofluorescent labeling or co‐labelling of BrdU with Sox2 (progenitor cells), Sox2/GFAP (neural progenitor cells), Ki67 (cell proliferation), DCX (immature neurons), NeuN (mature neurons) was used to examine the trajectory and maturation of adult‐born neurons over time. Estrogens had early (1 week of exposure) effects on different stages of neurogenesis (neural progenitor cells, cell proliferation and early maturation of new cells into neurons) but these effects were less pronounced after prolonged treatment. Estradiol enhanced, whereas estrone reduced cell proliferation after 1 week but not after longer exposure to either estrogen. Both estrogens increased the density of immature neurons (BrdU/DCX‐ir) after 1 week of exposure compared to vehicle treatment but this increased density was not sustained over longer durations of treatments to estrogens, suggesting that the enhancing effects of estrogens on neurogenesis were short‐lived. Longer duration post‐ovariectomy, without treatments with either of the estrogens, was associated with reduced neural progenitor cells in the DG. These results demonstrate that estrogens modulate several aspects of adult hippocampal neurogenesis differently in the short term, but may lose their ability to influence neurogenesis after long‐term exposure. These findings have potential implications for treatments involving estrogens after surgical menopause.