bluuebunny/crossref_metadata_2025_split huggingface dataset:
International Society on Thrombosis and Haemostasis Clinical Practice Guideline for Treatment of Congenital Haemophilia—A Critical Appraisal
Authors: Albisetti Manuela , Ardila Jesús , Astermark Jan , Blatny Jan , Carcao Manuel , Chowdary Pratima , Connell Nathan T. , Crato Miguel , Dargaud Yesim , d'Oiron Roseline , Dunn Amy L. , Escobar Miguel A. , Ettingshausen Carmen Escuriola , Fischer Kathelijn , Gouider Emna , Harroche Annie , Hermans Cedric , Jimenez‐Yuste Victor , Kaczmarek Radoslaw , Kenet Gili , Khoo Liane , Klamroth Robert , Langer Florian , Lillicrap David , Mahlangu Johnny , Male Christoph , Mancuso Maria Elisa , Matsushita Tadashi , Meunier Sandrine , Miesbach Wolfgang , Nolan Beatrice , Oldenburg Johannes , O'Mahony Brian , Ozelo Margareth , Pierce Glenn F. , Ramos Gloria , Recht Michael , Romero‐Lux Olivia , Rotellini Dawn , Santoro Rita C. , Singleton Tammuella C. , Skinner Mark W. , Srivastava Alok , Susen Sophie , Talks Kate , Tran Huyen , Valentino Leonard A. , Windyga Jerzy , Yang Renchi ,   also on behalf of AICE, AHAD‐AP, AHCDC, ATHN, CLAHT, EHC, French CRH & MHEMO, GTH, HTCCNC, NBDF, PEDNET, UKHCDO, WFH
Published: December 2024

ABSTRACTIntroductionEvidence‐based clinical practice guidelines drive optimal patient care and facilitate access to high‐quality treatment. Creating guidelines for rare diseases such as haemophilia, where evidence does not often come from randomized controlled trials but from non‐randomized and well‐designed observational studies and real‐world data, is challenging. The methodology used for assessing available evidence should consider this critical fact. In formulating guidelines, it is essential to include treatment goals and patient preference.AimThis paper comprehensively critiques, against this background, the recommendations of the ISTH clinical practice guidelines for the treatment of haemophilia.MethodsEach recommendation was critically reviewed against available evidence as well as existing guidelines and commented upon for its scientific validity, impact on clinical practice and access to care globally. The validity of the way in which the GRADE methodology was applied to existing evidence was also assessed.ResultsThe critique provided shows that these recommendations have major limitations: they did not state treatment goals and contradict existing guidelines; opportunities for providing access to innovation were missed when the therapeutic benefits of the products approved in the last decades were not included. A major reason for this is the inappropriate adoption of the GRADE methodology without adaptations and without considering treatment goals and patient‐relevant outcomes.ConclusionThese recommendations may mislead healthcare professionals, payers and governments and therefore cannot serve the patient community well. They setback the advances made in haemophilia care because they overlook important available evidence and do not guide clinical practice to contemporary standards.
How to Protect the Taste for Science? Working Conditions in European Higher Education Systems
Authors: Civera Alice , Lehmann Erik , Meoli Michele , Paleari Stefano , Brioschi Maria Sole 
Published: December 2024

ABSTRACTWhen a pronounced taste for science leads researchers to self‐select themselves in academia, higher education systems must be able to protect it. By relying on the economic theory of higher education, the international mobility and the sociology of science literature, we compare the working condition in the four major European higher education systems: the United Kingdom, Germany, France and Italy. Remuneration level especially its variable component is of paramount importance for all researchers. Job security in terms of tenure‐track positions and habilitation process as well as the career length are relevant for early‐career scholars, whereas the institutional prestige and the funding availability together with the disciplinary‐centre approach as well as the language biases are significant conditions for international researchers specifically. According to the target, policymakers should rely on specific leverages to increase a country competitiveness.
Platelet Reactivity to Zika and Dengue Non‐Structural Protein 1 (NS1) Assessed by Flow Cytometry, Atomic Force Microscopy, and Quartz Crystal Microbalance
Authors: Cano‐Méndez Alan , Espinosa Gabriel , García‐Larragoiti Nallely , Maciel‐García Pedro Antonio , Menchaca‐Arredondo Jorge Luis , Chan‐Kim Young , Reyes‐Sandoval Arturo , Viveros‐Sandoval Martha Eva 
Published: December 2024

ABSTRACTBackgroundPlatelets, besides being traditionally associated with hemostasis, have been recently positioned as immune cells. Alterations in platelet number and function have been reported in some viral infections. Zika virus (ZIKV) and Dengue virus (DENV) are arboviruses that encode for a non‐structural protein 1 (NS1). NS1 is mainly involved in the viral replication process and can also be secreted by infected cells and has been associated with immune response evasion. The assessment of platelet reactivity against these viral agents and their proteins, through the use of different innovative technologies such as flow cytometry (FC), atomic force microscopy (AFM), and quartz crystal microbalance (QCM), will allow further study of the pathophysiology of these emerging diseases.AimThe aim of this study was to assess platelet reactivity to ZIKV and DENV NS1 protein through the use of FC, AFM, and QCM.MethodsPlatelet‐rich plasma (PRP) was stimulated with ZIKV and DENV NS1 protein in individual assays. The expression of P‐selectin and the activity of the glycoprotein IIb‐IIIa, platelet activation markers, were assessed by FC, morphological changes were assessed by AFM, and interaction between NS1 protein and platelet were evaluated by QCM.ResultsAn increased expression of P‐selectin and GP IIb‐IIIa activity (p < 0.001) was observed when PRP was stimulated with ZIKV and DENV NS1 proteins. AFM images showed an increase in cell size and the appearance of pseudopods upon stimulation with the viral proteins. QCM results showed a significant increase in the oscillation frequency of the quartz precoated with ZIKV or DENV NS1 when PRP was injected (p < 0.001).ConclusionFC, AFM, and QCM are techniques that can be used in the study of platelet response to viral structures such as NS1 protein, broadening the range of existing methodologies in the study of these cells. It is imperative to study platelets in arboviral infections to better understand their involvement in these diseases.
Morphological and ecological approaches in reproduction of the endemic catfish of the eastern Amazon
Authors: Molica Juliana R. , Mendes Yanne A. , Prudente Bruno S. , Oliveira Renata S. , Pantoja Juliana Caroline D. , Torres Marcelo F. , Ferreira Maria Auxiliadora P. , Rocha Rossineide M. 
Published: December 2024

AbstractThis study aimed to describe reproductive ecology based on morphological aspects of Peckoltia oligospila in stream rapids, eastern Amazon. A total of 186 fish (75 males and 111 females) were collected. The sex and gonadal maturity stage of these specimens were obtained based on histological characteristics of the gonads. The sex ratio, gonado‐somatic index (GSI), relative frequency of the different maturity stages, size at first sexual maturation, condition factor of the population, and fluviometry were evaluated during the study. There was a significant female frequency during the study. The population exhibited positive allometric growth without differences between sexes. GSI and relative frequency showing a reproductive period synchronized in February, and the species exhibited parcelated spawning. L50 was estimated at 5.85 and 7.39 cm for females and males, respectively. There were significant differences in the condition factor only in females that showed a highest value in August. Thus, based on the results P. oligospila has an intermediate strategy between the opportunistic and equilibrium strategies.
A Stochastic Tree for Bubble Asset Modelling and Pricing
Authors: Gourieroux Christian , Jasiak Joann 
Published: December 2024

ABSTRACTWe introduce a new stochastic tree representation of a strictly stationary submartingale process for modelling, forecasting, and pricing speculative bubbles on commodity and cryptocurrency markets. The model is compared to other trees proposed in the literature on bubble asset modelling and stochastic volatility approximation. We show that the proposed model is an extension of the well‐known Blanchard‐Watson bubble. The model provides (quasi) closed‐form pricing formulas for European options, which are derived and illustrated.
Cointegrating Polynomial Regressions With Power Law Trends
Authors: Lin Yicong , Reuvers Hanno 
Published: December 2024

ABSTRACTThe common practice in cointegrating polynomial regressions (CPRs) often confines nonlinearities in the variable of interest to stochastic trends, thereby overlooking the possibility that they may be caused by deterministic components. As an extension, we propose univariate and multivariate CPRs that incorporate power law deterministic trends. Conventional fully modified estimation is demonstrated to be inadequate for valid asymptotic inference. As a solution, we employ simulation‐based methods. Building on this concept, we also introduce a simulation‐based procedure to combine subsampling KPSS tests. This approach significantly improves empirical power compared to the existing Bonferroni procedure. Applying our framework to the environmental Kuznets curve, we find reduced evidence that recent environmental improvement can be attributed solely to economic growth.
Use of thymidine kinase 1 autoantibody, thymidine kinase antigen, extracellular protein kinase A autoantibody, and C‐reactive protein for early detection of malignant tumors in dogs
Authors: Kim Yoonhee , Lee Wonhee , Kim Byunggak , Jang Bonghwan , Yu Kyung‐Rok , Kim Hong Sook , Ryu Minok , Oh Yein , Seo Kyoungwon , Park Chul , Choi Ulsoo , Bhang Dongha , Youn Hwayoung 
Published: December 2024

AbstractBackgroundAlthough the importance of early diagnosis of malignant tumors is a major concern, an easily accessible in‐house method has not been established.ObjectivesTo investigate the most optimal model by combining thymidine kinase 1 (TK1) autoantibody, extracellular protein kinase A (ECPKA) autoantibody, TK1 antigen, C‐reactive protein (CRP), age, breed, and sex.AnimalsSerum samples from 1702 dogs were collected from local animal hospitals and referral animal medical centers in Korea.MethodsTK1 autoantibody, ECPKA autoantibody, and CRP were measured using LFIA methods in serum samples of dog to design a new neoplastic index (NI) for early detection of malignant tumors in dogs.ResultsAUC of TK1 autoantibody model with TK1 antigen, CRP, age, and breed in multiple logistic regression analysis was 0.966 (TK1 autoantibody, P = .0005; TK1 antigen, P = .0003), and when the cutoff value was 0.417, the specificity was 87.1%, and sensitivity was 96.4%. Regression coefficients were 24.4, 20.5, 24.8, 10.6, respectively in TK1 autoantibody, TK1 antigen, CRP, and age, and the effect by breed (regression coefficient 2.1, 3.0) was the lowest. The same multiple logistic regression analysis on dogs with lymphoma, and AUC of TK1 autoantibody model was 0.981 (all P < .0001, TK1 antigen P = .09), when the cutoff value was 0.352, the specificity was 92.9%, and sensitivity was 93.7%.Conclusions and Clinical ImportanceThe NI including TK1 autoantibody could be useful in the screening test for both lymphoma and other tumors.
Shanghai Astronomy Museum and its meteorite collections
Authors: Zhimao Du , Shaolin Li , Xingmei Shan , Qing Lin 
Published: December 2024

AbstractThe Shanghai Astronomy Museum (SAM) has opened its meteorite collections to the planetary science community. Inaugurated in July 2021, SAM is recognized as the world's largest astronomical museum and currently houses a collection of 97 meteorites weighing a total of 469 kg. These meteorites come from over 40 nations and encompass a diverse array of 37 different groups. Among them, 70 meteorites are displayed in the museum. The museum also features a series of interactive exhibition areas showcasing the internal structure of meteorites, engaging games introducing meteorite identification, and simulating the formation process of asteroid impact craters. This comprehensive range of offerings enables public access to extensive scientific knowledge about meteorites, making the museum a pivotal platform for disseminating meteoritics to the public.
Metamorphosis of a unicellular green alga in the presence of acetate and a spatially structured three‐dimensional environment
Authors: Vuong Trang , Shetty Prateek , Kurtoglu Ece , Schultz Constanze , Schrader Laura , Then Patrick , Petersen Jan , Westermann Martin , Rredhi Anxhela , Chowdhury Somak , Mukherji Ruchira , Schmitt Michael , Popp Jürgen , Stallforth Pierre , Mittag Maria 
Published: December 2024

Summary
Photosynthetic protists, named microalgae, are key players in global primary production. The green microalga Chlamydomonas reinhardtii is a well‐studied model organism. In nature, it dwells in acetate‐rich paddy rice soil, which is not mimicked by standard liquid laboratory conditions. Here, we maintained the algae in a liquid environment with spatially structured 3‐D components (S3‐D) and acetate recreating natural conditions.
We perform transcriptome sequencing, immunoblotting, fluorescence and electron microscopy, and Raman microspectroscopy to characterize the algae in S3‐D vs homogeneous conditions.
The algae undergo a metamorphosis‐like process when transitioned from homogeneous aquatic to a lifestyle simulating acetate‐rich rice soil. These conditions result in reduced cell size and cilia length, an enlarged eyespot and many cells with double‐layered cell walls. RNA‐Seq reveals alterations in c. 2400 transcripts. Four key photoreceptors including CRY‐DASH1 and phototropin governing plastid metabolism along with its eyespot are altered in their protein expression. Consequently, photosynthetic pigments, lipids and starch levels vary as do starch distribution patterns. Fitness against antagonistic bacteria is enhanced concurrently with the downregulation of an involved Ca2+ channel transcript.
This study highlights the profound impact of S3‐D initiating processes inaccessible under homogeneous laboratory conditions. Thus, overexpression lines for certain photoreceptors and starch are naturally created.
A (new) defense of self‐forgiveness
Authors: Baehni Agnès 
Published: December 2024

AbstractIn this article, I try to resolve a contradiction arising from the combination of two theses: (1) self‐forgiveness is sometimes morally justified and (2) only victims can rightly forgive. As has been pointed out by other philosophers, both are plausible, but the two taken together are inconsistent. In the literature, self‐forgiveness is painted as an “imperfect” form of forgiveness or as a “second‐best option” because it entails a violation of the victim's prerogative to forgive. So far, this view has not directly been challenged. Instead, philosophers have focused on the task of giving a plausible account of self‐forgiveness while leaving the claim according to which forgiveness is among the victim's prerogative unchallenged. In this paper, I argue that self‐forgiveness is largely independent from the victim's forgiveness both morally and conceptually.
On the regularity number of a finite group and other base‐related invariants
Authors: Anagnostopoulou‐Merkouri Marina , Burness Timothy C. 
Published: December 2024

AbstractA ‐tuple of core‐free subgroups of a finite group is said to be regular if has a regular orbit on the Cartesian product . The regularity number of , denoted by , is the smallest positive integer with the property that every such ‐tuple is regular. In this paper, we develop some general methods for studying the regularity of subgroup tuples in arbitrary finite groups, and we determine the precise regularity number of all almost simple groups with an alternating or sporadic socle. For example, we prove that and . We also formulate and investigate natural generalisations of several well‐studied problems on base sizes for finite permutation groups, including conjectures due to Cameron, Pyber and Vdovin. For instance, we extend earlier work of Burness, O'Brien and Wilson by proving that for every almost simple sporadic group, with equality if and only if is the Mathieu group . We also show that every triple of soluble subgroups in an almost simple sporadic group is regular, which generalises recent work of Burness on base sizes for transitive actions of sporadic groups with soluble point stabilisers.
Manufacturing Feature Recognition With a Sparse Voxel-Based Convolutional Neural Network
Authors: Vatandoust Farzad , Yan Xiaoliang , Rosen David , Melkote Shreyes N. 
Published: December 2024

Abstract
Automated manufacturing feature recognition is a crucial link between computer-aided design and manufacturing, facilitating process selection and other downstream tasks in computer-aided process planning. While various methods such as graph-based, rule-based, and neural networks have been proposed for automatic feature recognition, they suffer from poor scalability or computational inefficiency. Recently, voxel-based convolutional neural networks have shown promise in solving these challenges but incur a tradeoff between computational cost and feature resolution. This paper investigates a computationally efficient sparse voxel-based convolutional neural network for manufacturing feature recognition, specifically, an octree-based sparse voxel convolutional neural network. This model is trained on a large-scale manufacturing feature dataset, and its performance is compared to a voxel-based feature recognition model (FeatureNet). The results indicate that the octree-based model yields higher feature recognition accuracy (99.5% on the test dataset) with 44% lower graphics processing unit (GPU) memory consumption than a voxel-based model of comparable resolution. In addition, increasing the resolution of the octree-based model enables recognition of finer manufacturing features. These results indicate that a sparse voxel-based convolutional neural network is a computationally efficient deep learning model for manufacturing feature recognition to enable process planning automation. Moreover, the sparse voxel-based neural network demonstrated comparable performance to a boundary representation-based feature recognition neural network, achieving similar accuracy in single-feature recognition without having access to the exact 3D shape descriptors.
A Differentiable Physics-Informed Machine Learning Approach to Model Laser-Based Micro-Manufacturing Process
Authors: Oddiraju Manaswin , Cleeman Jeremy , Malhotra Rajiv , Chowdhury Souma 
Published: December 2024

Abstract
Advanced manufacturing processes are often based on complex multiphysics phenomena that are either poorly understood or are computationally too expensive to simulate in the context of process design, control, or planning. Traditionally, simplified physics models with prescribed heuristics or purely data-driven surrogate models are used as alternatives in such applications. The concept of physics-informed machine learning (PIML) has been shown to have unique advantages over both of these alternatives in various fields of complex system analysis. In this paper, a new PIML approach is presented to model the geometry of the cut produced by a magnetically assisted laser-induced plasma micro-machining (M-LIPMM) process. This PIML architecture uses a neural network to auto-adapt the parametric boundary condition and physical properties used in a simplified finite difference-based physics model (of 2D heat conduction), as a function of the inputs namely the laser settings. This network also estimates the scaling and shifting parameters used by a convolutional neural network that takes the temperature profile predicted by the simplified heat conduction model to predict the width and depth of the machined cut. Trained on physical experiment data, the PIML approach compares favorably to a pure data-driven neural network model in extrapolation tests, while also providing physical insights (that the latter cannot). The PIML approach also provides an 85% better accuracy overall compared to the simplified physics model with heuristic settings.
Reducing Uncertainty in Energy Hub Operation: A Demand Response Approach for Improved Cost-Efficiency
Authors: Zhang Lanyue , Liu Yongjiu 
Published: December 2024

Abstract
In this article, a daily programming was performed for an energy hub (EH). This EH has a typical electricity generation unit, a boiler, a combined heat and power (CHP), two hectares of solar farm, three wind turbines with different capacities, a battery, and a heat storage unit. This hub can obtain electricity from the upstream grid and is also responsible for fully supplying the electrical and thermal loads. Herein, power generation uncertainty by renewable energy sources (RESs), the consumer’s electrical and thermal demands, as well as the upstream grid electricity market price are modeled by appropriate probability functions. In addition, the combined thermal and electrical energies to consumer are optimized. Moreover, the effect of uncertainty of uncertain parameters is reduced using a demand response program (DRP) by the load shifting method. The DRP is applied to both energy forms (electrical and thermal), which reduces hub costs by shifting the load from the hours when energy is expensive and unavailable to the hours when energy is cheap and available. Energy storage devices also shift energy from expensive to cheap hours. The integration of a demand response program effectively minimizes operational costs and enhances the efficiency of the energy hub by optimizing energy usage in response to fluctuating prices and availability.
Insights on the Tribological Characteristics of Titanium Alloys in Demanding Environments
Authors: Rivadeneira Francisco R. , Patel Payank , Wusatowska-Sarnek Agnieszka , Makowiec Mary , Stoyanov Pantcho 
Published: December 2024

Abstract
Titanium alloys are widely used in demanding applications due to their exceptional strength-to-weight ratio, high-temperature resilience, and excellent corrosion resistance. Understanding their tribological behavior is critical, as the performance and durability of several mechanical systems, particularly in gas turbine engines, are often constrained by friction and wear in complex contacting and mobile assemblies. This study investigates the tribological behavior of two widely used titanium alloys, Ti–6–4 and Ti–6–2–4–2, focusing on their interfacial phenomena under varied operational conditions. Tribological testing was conducted using a reciprocating tribometer at different temperatures and loading conditions. Ex situ analyses revealed that wear mechanisms were heavily influenced by the properties of the oxide layer formed during sliding. Under higher loads, the oxide layer on the alloy surface fractured, resulting in the generation of flake-like debris, which contributed to third-body abrasion. Additionally, the study examined the transfer film formation on the alumina counterface under various conditions, correlating friction, and wear behavior with interfacial processes, particularly the oxide formation on the worn surfaces. This study enhances the understanding of the tribological behavior of titanium alloys, paving the way for improved performance in demanding applications through advanced surface modification techniques.