bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cellulose nanocrystals from agriculture and forestry biomass: synthesis methods, characterization and industrial applications
Authors: Qureshi Sundus Saeed , Nizamuddin Sabzoi , Xu Jia , Vancov Tony , Chen Chengrong 
Published: September 2024

AbstractAgricultural and forestry biomass wastes, often discarded or burned without adequate management, lead to significant environmental harm. However, cellulose nanocrystals (CNCs), derived from such biomass, have emerged as highly promising materials due to their unique properties, including high tensile strength, large surface area, biocompatibility, and renewability. This review provides a detailed analysis of the lignocellulosic composition, as well as the elemental and proximate analysis of different biomass sources. These assessments help determine the yield and characteristics of CNCs. Detailed discussion of CNC synthesis methods -ranging from biomass pretreatment to hydrolysis techniques such as acid, mineral, solid acid, ionic liquid, and enzymatic methods—are provided. The key physical, chemical, and thermal properties of CNCs are also highlighted, particularly in relation to their industrial applications. Recommendations for future research emphasize the need to optimize CNC synthesis processes, identify suitable biomass feedstocks, and explore new industrial applications.
Graphical Abstract
Disruption of sleep macro- and microstructure in Alzheimer’s disease: overlaps between neuropsychology, neurophysiology, and neuroimaging
Authors: Kegyes-Brassai Anna Csilla , Pierson-Bartel Robert , Bolla Gergo , Kamondi Anita , Horvath Andras Attila 
Published: September 2024

AbstractAlzheimer’s disease (AD) is the leading cause of dementia, often associated with impaired sleep quality and disorganized sleep structure. This study aimed to characterize changes in sleep macrostructure and K-complex density in AD, in relation to neuropsychological performance and brain structural changes. We enrolled 30 AD and 30 healthy control participants, conducting neuropsychological exams, brain MRI, and one-night polysomnography. AD patients had significantly reduced total sleep time (TST), sleep efficiency, and relative durations of non-rapid eye movement (NREM) stages 2 (S2), 3 (S3), and rapid eye movement (REM) sleep (p < 0.01). K-complex (KC) density during the entire sleep period and S2 (p < 0.001) was significantly decreased in AD. We found strong correlations between global cognitive performance and relative S3 (p < 0.001; r = 0.86) and REM durations (p < 0.001; r = 0.87). TST and NREM stage 1 (S1) durations showed a moderate negative correlation with amygdaloid and hippocampal volumes (p < 0.02; r = 0.51–0.55), while S3 and REM sleep had a moderate positive correlation with cingulate cortex volume (p < 0.02; r = 0.45–0.61). KC density strongly correlated with global cognitive function (p < 0.001; r = 0.66) and the thickness of the anterior cingulate cortex (p < 0.05; r = 0.45–0.47). Our results indicate significant sleep organization changes in AD, paralleling cognitive decline. Decreased slow wave sleep and KCs are strongly associated with cingulate cortex atrophy. Since sleep changes are prominent in early AD, they may serve as prognostic markers or therapeutic targets.
Critical thinking in the making: students’ critical thinking practices in a multifaceted SSI project
Authors: Kolstø Stein Dankert , Paulsen Vegard Havre Paulsen , Mestad Idar 
Published: September 2024

AbstractStudents’ critical thinking is often researched using quantitative tests designed to measure critical thinking. In contrast, this study qualitatively analyses group and whole-class dialogues in an interdisciplinary SSI project by focusing on students’ critical thinking practices. As such, the study provides an in-depth example of an immersion approach to teaching critical thinking in an SSI classroom. The SSI project, called the Climate project, lasted 18 lessons and involved an 8th-grade mixed-ability class in a suburb on the west coast of Norway. The data consist of field notes, full-class video recordings and audio recordings of student talk in groups. Based on an interactive ethnographic perspective, patterns in the data were identified using open coding informed by conceptualizations of critical thinking followed by identification and holistic analysis of episodes characteristic of the critical thinking practices in the classroom. The study offers insight into the characteristics of young students' critical thinking in dialogic settings. The students’ interpretations, analyses, evaluations, and inferences are based on a mix of knowledge and guesswork. The analysis reveals that the two teachers involved challenged students to, for example, interpret and evaluate information, make inferences, and to suggest alternative views. Explicit teaching of critical thinking was limited. The study demonstrates that it is possible, by employing appropriate teaching strategies, to support students across all levels of abilities in actively participating in critical thinking. Additionally, it shows how specific student centered teaching strategies and students' responses to these strategies contribute to a classroom culture permeated with critical thinking practices.
Large circuit models: opportunities and challenges
Authors: Chen Lei , Chen Yiqi , Chu Zhufei , Fang Wenji , Ho Tsung-Yi , Huang Ru , Huang Yu , Khan Sadaf , Li Min , Li Xingquan , Li Yu , Liang Yun , Liu Jinwei , Liu Yi , Lin Yibo , Luo Guojie , Pan Hongyang , Shi Zhengyuan , Sun Guangyu , Tsaras Dimitrios , Wang Runsheng , Wang Ziyi , Wei Xinming , Xie Zhiyao , Xu Qiang , Xue Chenhao , Yan Junchi , Yang Jun , Yu Bei , Yuan Mingxuan , Young Evangeline F. Y. , Zeng Xuan , Zhang Haoyi , Zhang Zuodong , Zhao Yuxiang , Zhen Hui-Ling , Zheng Ziyang , Zhu Binwu , Zhu Keren , Zou Sunan 
Published: September 2024

AbstractWithin the electronic design automation (EDA) domain, artificial intelligence (AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding, overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level (RTL) designs, circuit netlists, and physical layouts. We champion the creation of large circuit models (LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area (PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems’ capabilities.
Description of three widespread new Peronospora species parasitising Caryophyllales
Authors: Mu Man , Choi Young-Joon , Thines Marco 
Published: September 2024

AbstractDowny mildews are cosmopolitan obligate biotrophic parasites of flowering plants. They are fungus-like eukaryotes of the kingdom Straminipila, and most species are highly specialised, often parasitising only a single host species. Due to the prevalence of a broad species concept before the advent of molecular phylogenetics and the paucity of differentiating characteristics in some groups, many widespread species are still undescribed. This is also the case for some downy mildews in the clade containing the type species of Peronospora, Peronospora rumicis. Spurred by the discovery of the undescribed species parasitising Rumex acetosa at the Blávík research station in East Iceland, three new widespread species of Peronospora are introduced in this article: Peronospora blauvikensis parasitic to Rumex acetosa, P. boylei parasitic to Rumex thyrsiflorus, and P. spergulariae parasitic to Spergula marina. As the species are morphologically highly similar, a set of diagnostic bases is given for each species, allowing a quick identification via molecular barcoding.
Plasmapherese bei Sepsis
Authors: Stahl Klaus , Bode Christian , David Sascha 
Published: September 2024

ZusammenfassungTrotz der nachvollziehbaren theoretischen Rationale und der biologischen Plausibilität mangelt es bis dato an eindeutiger Evidenz für oder wider extrakorporale Blutreinigungsstrategien. In den letzten 3 Jahren haben allerdings mehrere qualitativ hochwertige Untersuchungen, die sich auf eine vergleichbare Intervention beziehen, darauf hingewiesen, dass die unselektive Entfernung von zirkulierenden Mediatoren bei kritisch kranken Sepsispatienten unerwartet schädlich sein könnte. Der therapeutische Plasmaaustausch (TPE) ist zwar auch eine extrakorporale Behandlung, verfolgt aber einen grundlegend anderen biologischen Ansatz. Hierbei wird das gesamte Plasmavolumen entfernt und zeitgleich mit gesundem Spenderplasma ersetzt. Die Hypothese hinter einem günstigen Effekt des TPE auf die Pathophysiologie der Sepsis basiert hierbei auf der Idee, die Beseitigung übermäßiger schädigender Mediatoren mit der Substitution schützender, aber in der Sepsis verbrauchter Faktoren zu kombinieren. Mehrere rezente Metanalysen, welche die Ergebnisse u. a. des EXCHANGE-Studienprogramms und von retrospektiven Propensity-Score-Analysen der letzten Jahre einbeziehen, finden entsprechend übereinstimmend ein signifikant verbessertes Überleben bei zusätzlich mit TPE behandelten Patienten im septischen Schock. Der Beweis, dass TPE tatsächlich das Überleben von Patienten mit septischem Schock verbessern kann, steht allerdings noch aus.
Cloud point extraction and characterization of zinc oxide nanoparticles isolated from infant milk formulas
Authors: Salinas-Lucero Gloria , Juarez-Moreno Karla , Vazquez-Duhalt Rafael 
Published: September 2024

AbstractThe increasing presence of nanoparticles in food products, especially in those consumed by sensitive populations like infants, raises justified health concerns. The presence of zinc oxide nanoparticles (ZnO-NPs) in three different commercial infant milk formulas were analyzed. In addition, one maternal food supplement was included in this study. Notably, existing regulations lack specificity regarding the size distribution of nanoparticles (NPs) and the maximum permissible concentrations in commercial infant products. Except in one sample, the total zinc content exceeded the reported amount in the nutritional label, which varied from 34 to 119 µg/g. This work validated the cloud point extraction (CPE) technique for the effective isolation of ZnO-NPs from the selected products. CPE was then used to evaluate the ZnO-NPs concentrations in commercially available infant formulas and maternal supplements. Using inductively coupled plasma optical emission spectrometry (ICP-OES), the ZnO-NPs and total Zn concentrations were determined. The ZnO-NPs concentration ranged from 16 to 39 µg/g, representing a considerable portion of the total zinc content. Transmission electron microscopy (TEM) analysis indicated the presence of nanoparticles with an average diameter of 6.3 nm. The NPs size could determine their cell internalization, and thus, the potential cytotoxic effects are discussed. These findings underscore the need for rigorous isolation and quantification of nanoparticles from infant milk formulas, and as an inevitable first step for in vitro and in vivo toxicity studies to address the potential health impact of nanoparticles in food products.
Learning curve of robotic assisted microsurgery in surgeons with different skill levels: a prospective preclinical study
Authors: von Reibnitz Donata , Weinzierl Andrea , Grünherz Lisanne , Giovanoli Pietro , Lindenblatt Nicole 
Published: September 2024

AbstractAchieving precision in microsurgery requires skill, adequate instruments and magnification, as well as extensive training. Dedicated surgical robotic systems have enhanced and expanded the application of (super-)microsurgical techniques by introducing motion scaling and providing improved surgeon ergonomics. In this prospective preclinical trial, we analyzed the learning curve in robotic assisted microsurgery in 13 participants including medical students, residents, and attending physicians. Data on demographics as well as prior experience in surgery, microsurgery, and gaming were collected. In three study sessions, the participants performed nine microsurgical anastomoses each on 2 mm vessel models using the Symani® Surgical System in combination the VITOM 3D exoscope. A senior expert microsurgeon reviewed the de-identified and blinded videos and scored all anastomoses using a modified “Structured Assessment of Microsurgical Skills” (SARMS) score. All participants significantly reduced their time needed per anastomosis and their overall SARMS score, as well as individual scores for motion and speed throughout the trial. We saw a significant correlation of prior years of practice in surgery with the overall mean time and mean SARMS score. In a separate analysis of the three sessions, this influence could no longer be seen in the last session. Furthermore, we found no significant effect of gender, age, hand dominance, or gaming experience on speed and quality of the anastomoses. In this study of 117 robotic assisted anastomoses, a rapid improvement of performance of all participants with different surgical skills levels could be shown, serving as encouraging evidence for further research in the implementation of microsurgical robotic systems.
An Ontological Reading of Sufism: Examining Sufism Through the Philosophy of Heidegger
Authors: Milani Milad 
Published: September 2024

Abstract
This article presents an ontological reading of Sufism in the style of Heidegger’s ontological examination of ancient philosophy. In this regard, it is a novel approach to the study of Sufism as a metaphysical conundrum within the Islamic context. The article explores what we mean by the nature of Sufism and the question of “being Sufi.” It does this for two reasons: to show the frontiers of metaphysical reasoning in Islamic intellectual history and to demonstrate that Sufism is the “setting-into-work” of the mystical within the Islamic.
Cancer Development and Progression in Patients with Heart Failure
Authors: Seuthe Katharina , Picard Felix Simon Ruben , Winkels Holger , Pfister Roman 
Published: September 2024

Abstract
Purpose of Review
The co-occurrence of heart failure (HF) and cancer represents a complex and multifaceted medical challenge. Patients with prevalent cardiovascular disease (CVD), particularly HF, exhibit an increased risk of cancer development, raising questions about the intricate interplay between these two prevalent conditions. This review aims to explore the evolving landscape of cancer development in patients with HF, shedding light on potential mechanisms, risk factors, and clinical implications.

Recent Findings
Epidemiological data suggests higher cancer incidences and higher cancer mortality in HF patients, which are potentially more common in patients with HF with preserved ejection fraction due to related comorbidities. Moreover, recent preclinical data identified novel pathways and mediators including the protein SerpinA3 as potential drivers of cancer progression in HF patients, suggesting HF as an individual risk factor for cancer development.

Summary
The review emphasizes preliminary evidence supporting cancer development in patients with HF, which offers several important clinical interventions such as cancer screening in HF patients, prevention addressing both HF and cancer, and molecular targets to treat cancer. However, there is need for more detailed understanding of molecular and cellular cross-talk between cancer and HF which can be derived from prospective assessments of cancer-related outcomes in CV trials and preclinical research of molecular mechanisms.
The Different Responsiveness of C3- and C5-deficient Murine BM Cells to Oxidative Stress Explains Why C3 Deficiency, in Contrast to C5 Deficiency, Correlates with Better Pharmacological Mobilization and Engraftment of Hematopoietic Cells
Authors: Konopko Adrian , Łukomska Agnieszka , Kucia Magdalena , Ratajczak Mariusz Z. 
Published: September 2024

Abstract
The liver-derived circulating in peripheral blood and intrinsic cell-expressed complement known as complosome orchestrate the trafficking of hematopoietic stem/progenitor cells (HSPCs) both during pharmacological mobilization and homing/engraftment after transplantation. Our previous research demonstrated that C3 deficient mice are easy mobilizers, and their HSPCs engraft properly in normal mice. In contrast, C5 deficiency correlates with poor mobilization and defects in HSPCs’ homing and engraftment. The trafficking of HSPCs during mobilization and homing/engraftment follows the sterile inflammation cues in the BM microenvironment caused by stress induced by pro-mobilizing drugs or myeloablative conditioning for transplantation. Therefore, to explain deficiencies in HSPC trafficking between C3-KO and C5-KO mice, we evaluated the responsiveness of C3 and C5 deficient cells to low oxidative stress. As reported, oxidative stress in BM is mediated by the activation of purinergic signaling, which is triggered by the elevated level of extracellular adenosine triphosphate (eATP) and by the activation of the complement cascade (ComC). In the current work, we noticed that BM lineage negative cells (lin−) isolated from C3-KO mice display several mitochondrial defects reflected by an impaired ability to adapt to oxidative stress. In contrast, C5-KO-derived BM cells show a high level of adaptation to this challenge. To support this data, C3-KO BM lin− cells were highly responsive to eATP stimulation, which correlates with enhanced levels of reactive oxygen species (ROS) generation and more efficient activation of intracellular Nlrp3 inflammasome. We conclude that the enhanced sensitivity of C3-KO mice cells to oxidative stress and better activation of the Nox2-ROS-Nlrp3 inflammasome signaling axis explains the molecular level differences in trafficking between C3- and C5-deficient HSPCs.

Graphical Abstract
TRPV4 Channel in Neurological Disease: from Molecular Mechanisms to Therapeutic Potential
Authors: Zhang Feng , Mehta Hritik , Choudhary Hadi Hasan , Islam Rezwanul , Hanafy Khalid A. 
Published: September 2024

Abstract
Transient Receptor Potential Vanilloid 4 (TRPV4) is a non-selective cation channel with pivotal roles in various physiological processes, including osmosensitivity, mechanosensation, neuronal development, vascular tone regulation, and bone homeostasis in human bodies. Recent studies have made significant progress in understanding the structure and functional role of TRPV4, shedding light on its involvement in pathological processes, particularly in the realm of neurological diseases. Here, we aim to provide a comprehensive exploration of the multifaceted contributions of TRPV4 to neurological diseases, spanning its intricate molecular mechanisms to its potential as a target for therapeutic interventions. We delve into the structural and functional attributes of TRPV4, scrutinize its expression profile, and elucidate the possible mechanisms through which it participates in the pathogenesis of neurological disorders. Furthermore, we discussed recent years’ progress in therapeutic strategies aimed at harnessing TRPV4 for the treatment of these diseases. These insights will provide a basis for understanding and designing modality-specific pharmacological agents to treat TRPV4-associated disorders.
Triolena anisophylla (Melastomataceae), a new and threatened species endemic to Panama
Authors: Samra Kate E. , Michelangeli Fabián A. , Lucas Eve J. 
Published: September 2024

SummaryA new species of Triolena, endemic to Colón Province, Panama, is described and illustrated. The specimens of this taxon were previously identified as Triolena lanceolata, but closer inspection has shown them to be morphologically and geographically distinct. Triolena anisophylla K.Samra & Michelang. grows on rocks and tree trunks along rivers in Colón Province. This species is distinguishable by its strongly anisophyllous leaves and unique trichomes on the adaxial surface of the leaves. A complete description, distribution map, preliminary conservation assessment, taxonomic notes, and regional key are provided.
Sensor fusion of robotic total station and inertial navigation system for 6DoF tracking applications
Authors: Thalmann Tomas , Neuner Hans 
Published: September 2024

AbstractThis paper presents a novel approach for sensor fusion of robotic total station (RTS) and inertial navigation system (INS) to enable 6-degree-of-freedom (6DoF) pose estimation. Tight coupling of a spherical measurement model for RTS is developed, providing advantages over the traditional cartesian 3D-position measurement model, including supporting INS solution when distance measurements are unavailable and performing outlier detection in spherical observation space. Simulation studies demonstrate that replacing Global Navigation Satellite Systems (GNSS) with RTS for fusion with INS is beneficial in any environment (given line-of-sight (LOS) availability), even under ideal GNSS conditions. Furthermore, investigations on measurement models and failure identification over the entire range of RTS measurements reveal that the spherical model is advantageous over the cartesian model in certain regions. The developed methods are validated in a practical application for tilt compensation of an RTS pole, indicating a base 2D-RMSE of 3.8 mm for almost static and almost vertical poles, increasing with tilt and velocity.
Doubly Robust Triple Cross-Fit Estimation for Causal Inference with Imaging Data
Authors: Ke Da , Zhou Xiaoxiao , Yang Qinglong , Song Xinyuan 
Published: September 2024

AbstractThis paper develops a novel doubly robust triple cross-fit estimator to estimate the average treatment effect (ATE) using observational and imaging data. The construction of the proposed estimator consists of two stages. The first stage extracts representative image features using the high-dimensional functional principal component analysis model. The second stage incorporates the image features into the propensity score and outcome models and then analyzes these models through machine learning algorithms. A doubly robust estimator for ATE is obtained based on the estimation results. In addition, we extend the double cross-fit to a triple cross-fit algorithm to accommodate the imaging data that typically exhibit more subtle variation and yield less stable estimation compared to conventional scalar variables. The simulation study demonstrates the satisfactory performance of the proposed estimator. An application to the Alzheimer’s Disease Neuroimaging Initiative dataset confirms the utility of our method.