bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cellular prion protein acts as mediator of amyloid beta uptake by caveolin‐1 causing cellular dysfunctions in vitro and in vivo
Authors: da Silva Correia Angela , Schmitz Matthias , Fischer Anna‐Lisa , da Silva Correia Susana , Simonetti Franco L. , Saher Gesine , Goya‐Maldonado Roberto , Arora Amandeep Singh , Fischer Andre , Outeiro Tiago F. , Zerr Inga 
Published: August 2024

AbstractINTRODUCTIONCellular prion protein (PrPC) was implicated in amyloid beta (Aβ)‐induced toxicity in Alzheimer's disease (AD), but the precise molecular mechanisms involved in this process are unclear.METHODSDouble transgenic mice were generated by crossing Prnp knockout (KO) with 5xFAD mice, and light‐sheet microscopy was used for whole brain tissue analyses. PrPC‐overexpressing cells were developed for in vitro studies, and microscopy was used to assess co‐localization of proteins of interest. Surface‐plasmon resonance (SPR) was used to investigate protein‐binding characteristics.RESULTSIn vivo, PrPC levels correlated with reduced lifespan and cognitive and motor function, and its ablation disconnected behavior deficits from Aβ levels. Light‐sheet microscopy showed that PrPC influenced Aβ‐plaque burden but not the distribution of those plaques. Interestingly, caveolin‐1 (Cav‐1) KO neurons significantly reduced intracellular Aβ‐oligomer (Aβo) uptake when compared to wild‐type neurons.DISCUSSIONThe findings shed new light on the relevance of intracellular Aβo, suggesting that PrPC and Cav‐1 modulate intracellular Aβ levels and the Aβ‐plaque load.Highlights
PrPC expression adversely affects lifespan and behavior in 5xFAD mice.
PrPC increases Aβ1‐40 and Aβ1‐42 levels and Aβ‐plaque load in 5xFAD mice.
Cav‐1 interacts with both PrPC and Aβ peptides.
Knocking out Cav‐1 leads to a significant reduction in intracellular Aβ levels.
Photo‐induced Intercalation of Cobalt(II) Tellurium Oxide as an Oxygen Evolution (Photo)electrocatalyst
Authors: Kriek Roelof J. , Oyetade Oluwaseun A. , Zingwe Nyengerai H. , Carleschi Emanuela , Doyle Bryan P. , Koch Jaco 
Published: August 2024

AbstractHerein, we report on (a) the application of cobalt(II) tellurium oxide (Co3TeO6) as a photo‐electrocatalyst, to enhance the photo‐electrocatalytic (PEC) oxygen evolution reaction (OER) in alkaline media, compared to the electrocatalytic (EC) OER (in the absence of light), and (b) to store charge upon illumination and release charge upon the termination of illumination under OER potential bias conditions. These nanomaterials were synthesized employing the sol‐gel method and calcined at temperatures ranging from 400 to 1100 °C. They were physically characterized and tested for their capacity to (i) act as a catalyst towards the OER, under EC and PEC conditions, and (ii) to convert and store light‐energy as chemical‐energy. Under PEC conditions CTO‐900, which predominantly consisted of Co3TeO6, exhibited a five‐fold increase in activity compared to EC conditions as current density increased from 0.58 mA cm−2 (EC) to 3.10 mA cm−2 (PEC) at 1.8 V (vs. RHE). Additionally, CTO‐900 displayed the ability to not only store charge (upon illumination), but to also release this stored charge (after the termination of illumination), realising a current density of 2.07 mA cm−2 in the dark (under OER potential bias conditions). Photo‐induced charge storage is due to the intercalation of potassium ions into Co3TeO6.
Insights into the Single Atom and Support Interaction in Electrocatalytic Oxygen Evolution Reaction
Authors: Walter Carsten , Singh Ajit Kumar , Sontheimer Tobias , Indra Arindam , Menezes Prashanth W. 
Published: August 2024

AbstractElectrochemical water oxidation with single atom catalysts (SACs) has garnered immense interest because of their high atom utilization, extraordinary activity, and elucidation of the reaction mechanism. In SACs, while the atomic sites offer active centers for substrate binding and reaction intermediates, their interaction with the solid support is crucial for the stabilization and enhancement of catalytic activity. Coordinated elements surrounding the atomic site create a ligand‐like environment that influences electrochemical properties. As a result, tuning the coordination environment of SACs allows for modulation of their oxygen evolution reaction (OER) activity. In light of this, the question arises: What is the role of the support in stabilizing single atoms (SAs) and controlling their electrochemical activity during water oxidation? This review addresses this question using recent examples. Spectroscopic characterizations and density functional theory (DFT) calculations provide a direct answer: In SACs, the atomic centers exhibit strong interactions with the support via neighboring atoms, influencing OER activity.
Soluble Lead Redox Flow Batteries: Status and Challenges
Authors: Prakash Yadav Satya , Ravikumar M. K. , Patil S. , Shukla Ashok 
Published: August 2024

AbstractSoluble lead redox flow battery (SLRFB) is an emergent energy storage technology appropriate for integrating solar and wind energy into the primary grid. It is an allied technology of conventional lead‐acid batteries. This appraisal compares lead‐acid batteries and SLRFB apropos their general characteristics. SLRFBs can overcome the inadequate cycle‐life of Lead‐Acid batteries as the electrodes of SLRFB do not participate in the reaction, which helps extending its durability. However, SLRFB has challenges of dendrite formation, oxygen evolution reaction, passivation of PbO2 and shunt current. These problems need to be resolved before SLRFBs can be projected for large‐scale energy storage applications. In this technical update, we have reviewed the recent studies pertinent to dendrite formation, mechanism of the lead electrode, and reversibility of the PbO2 electrode in the state‐of‐art of SLRFB along with progress in advances while developing a 12 V – 250 Wh 8‐cell SLRFB stack.
Nanoelectrochemical Platform for Elucidating the Reaction between a Solid Active Material and a Dissolved Redox Species for Mediated Redox‐Flow Batteries
Authors: Santana Santos Carla , Quast Thomas , Ventosa Edgar , Schuhmann Wolfgang 
Published: August 2024

AbstractMediated processes using a solid material, often called “solid booster”, have been proposed to increase the energy density in redox flow batteries (RFB). The strategy alters the energy storage in the dissolved redox species to a solid active material placed in a compartment of the device. Understanding the reaction kinetics of the dissolved redox mediator and the solid booster is crucial for proposing feasible pairs of solid boosters and dissolved redox mediators. We demonstrate a nanoelectrochemical methodology to monitor the reaction between the dissolved species in solution and the solid active material electrodeposited in recessed carbon nanoelectrodes. Our strategy overcomes issues inherent to standard methodologies, such as mass transport limitation, and evaluation of the intrinsic reactivity of the solid material. As a proof of concept, Prussian blue was electrodeposited in a recessed carbon nanoelectrode and used as a confined‐solid material platform to evaluate the reaction between the reduced form of Prussian blue and triiodide,
. A high conversion rate of the solid booster was observed in the presence of μM concentrations of the dissolved redox species. The proposed nanoelectrode was successfully employed as a potentiometric sensor to monitor the evolution of the reaction with the dissolved active species.
A new copula regression model for hierarchical data
Authors: Akpo Talagbe Gabin , Rivest Louis‐Paul 
Published: August 2024

AbstractThis article proposes multivariate copula models for hierarchical data. They account for two types of correlation: one is between variables measured on the same unit, and the other is a correlation between units in the same cluster. This model is used to carry out copula regression for hierarchical data that gives cluster‐specific prediction curves. In the simple case where a cluster contains two units and where two variables are measured on each one, the new model is constructed with a ‐vine. The proposed copula density is expressed in terms of three copula families. When the copula families and the marginal distributions are normal, the model is equivalent to a normal linear mixed model with random cluster‐specific intercepts. Methods to select the three copula families and to estimate their parameters are proposed. We perform Monte Carlo studies of the sampling properties of these estimators and of out‐of‐sample predictions. The new model is applied to a dataset on the marks of students in several schools.
Smart bridge bearing monitoring: Predicting seismic responses with a multi‐head attention‐based CNN‐LSTM network
Authors: Yazdanpanah Omid , Chang Minwoo , Park Minseok , Mangalathu Sujith 
Published: August 2024

AbstractThis paper introduces a novel method to spontaneously predict displacement time histories and hysteresis curves of bridge lead rubber bearings under seismic loads and axial forces. The method leverages a stacked convolutional‐bidirectional Cuda Long Short Term Memory network, enhanced with multi‐head attention, skip connections, exponential learning rate scheduler, and a hybrid activation function to improve performance. The framework utilizes the functional application programming interface provided by the Python Keras library to build a model that takes input features such as horizontal and vertical ground accelerations, actuator loads in both lateral and vertical directions, and the superstructure mass. The effectiveness of the deep learning model is evaluated using a considerable experimental dataset of 53 real‐time hybrid simulations, spanning various earthquake intensities and superstructure masses (Chi‐Chi: 15 scenarios, El Centro: 15 scenarios, Kobe: 13 scenarios, and Northridge: 10 scenarios). Initially, Northridge earthquake data serves as unseen data, while the rest is used for training and validation. In a subsequent trial, the unseen data is centered on Kobe earthquake scenarios. By employing a hybrid loss function merging mean square and mean absolute errors, the model exhibits a substantial correlation of over 83% between predicted displacement time series and empirical measurements for the unseen data. In summary, the proposed model offers miscellaneous benefits, including time and cost savings in experimental efforts by decreasing the need for additional tests. It further delivers a swift and precise insight into the bridge bearing performance and its energy dissipation, facilitating timely and accurate bridge design in different scenarios for engineers.
Eine botanische Expedition nach Kalimantan (Borneo) der Republik Indonesien
Authors: Tarnavschi Ion T. 
Published: August 2024

ZusammenfassungNach Darstellung der allgemeinen geographischen Lage und der Lebensweise in Indonesien beschreiben wir die Flora und Vegetation unserer Aufenthaltsorte auf dem Weg nach Kalimantan: Balik‐Papan, Samarinda und Tandjung‐Redeb und deren Umgebung.Nach dem Norden von Kalimantan, wo zum ersten Mal botanisiert wurde, und in die langen, verzweigten Flußdeltas mit der dort verbreiteten Mangrove‐Flora sind wir mit. dem biologischen Forschungsschiff ”Sumadera“ gefahren.In der letzten Ortschaft haben wir gelegentlich einer botanischen Expedition bei Long‐Lanuk (ein Dayaken‐Stamm) die Zusammensetzung eines tropischen Urwaldes (Dschungel) mit seinen Eigentümlichkeiten gesehen, die Pflanzen werden in unserer kurzen Abhandlung aufgezählt. Danach sind wir zurück nach Jakarta gefahren.
Wasserhaushalt der Wüsten‐ und Wüstensteppenpflanzen in der Nord‐ und der Trans‐Altai‐Gobi1)
Authors: Bobrovskaja N. I. 
Published: August 2024

ZusammenfassungDie Untersuchungen des Wasserhaushalts der Dominanten von besonders typischen Pflanzengesellschaften der Nord‐ und Trans‐Altai‐Gobi zeigten, daß es Unterschiede im Charakter des Wasserhaushalts der Wüstensteppen‐(Steppen‐) und Wüstenarten gibt. Eine der kennzeichnenden Besonderheiten der Steppenpflanzen ist ein intensiver Wasserumsatz. In der Trockenzeit verdunsten die Steppenpflanzen (ausschließlich Allium‐Arten) pro Stunde eine fast l,5mal größere Wassermenge als ihre Pflanzenmasse beträgt. Der Blattwassergehalt ist relativ gering und kann stark schwanken. Das Wasserdefizit gleicht während ökologischer Streßzustände annähernd den kritischen Werten. Der Blattwassergehalt der Allium‐Arten ist hoch, ihre Transpirationsintensität ist niedriger, als die der Gräser und primitiven Zwerghalbsträucher, das Wasserdefizit ist gering. In Trockenzeiten ist aber die Differenz zwischen den maximalen aktuellen und subletalen Defizitwerten sehr gering. Diese weist deutlich daraufhin, daß sich hier die Allium‐, sowie die übrigen Steppenarten der Steppenwüstenzone an der Grenze ihrer Existenz befinden. Die Intensität des Wasserunisatzes der Wüstenarten ist generell wesentlich geringer als die der Steppenarten. Der Wassergehalt ist relativ hoch. Die Differenz zwischen dem maximalen aktuellen und dem subletalen Wasserdefizit weist einen beträchtlichen ”Vorrat an Dürreresistenz“ dieser Pflanzen nach.
Ulmus pumila L. und ihre Vergesellschaftung in der Nord‐Mongolei1)
Authors: Blažková Denisa 
Published: August 2024

ZusammenfassungDas Studium der Ökologie und Zönologie von Ulmus pumila im Flußgebiet des unteren Orchon (Nord‐Mongolei) hat gezeigt, daß die Art auch in diesem Gebiet natürliche Bestände in Form verhältnismäßig lichter Wälder mit eigenem Artenbestand bildet, die wir als eine selbständige Ulmus‐Gesellschaft fassen können. Die Zönologie, die Struktur und der Lebenszyklus zeigen, daß Ulmus pumila von Natur aus keine ständig dichten Wälder bildet. Als Pionierart besiedelt die Ulme offene, freie, nährstoffarme Standorte, aber mit genügend Wasser in den tieferen Bodenschichten. Der Pioniercharakter der Art kommt auch durch Änderung der Lebensstrategie im Verlaufe der Entwicklung zum Ausdruck. Die Berücksichtigung dieser biologischen Eigenschaften kann für eine erfolgreichere Kultivierung dieses Gehölzes genutzt werden.
Oxidation of Cyclohexane to Cyclohexanol/Cyclohexanone Using Sol‐Gel‐Encapsulated Unspecific Peroxygenase from Agrocybe aegerita
Authors: Wu Yinqi , Hollmann Frank , Musa Musa M. 
Published: August 2024

AbstractUnspecific peroxygenase from Agrocybe aegerite (AaeUPO) is a remarkable catalyst for the oxyfunctionalization of non‐activated C−H bonds under mild conditions. It exhibits comparable activity to P450 monooxygenase but offers the advantage of using H2O2 instead of a complex electron transport chain to reductively activate O2. Here, we demonstrate the successful oxidation of cyclohexane to cyclohexanol/cyclohexanone (KA‐oil) using sol‐gel encapsulated AaeUPO. Remarkably, cyclohexane serves both as a solvent and a substrate in this system, which simplifies product isolation. The ratio of cyclohexanone to cyclohexanol using this approach is remarkably higher compared to the oxidation using free AaeUPO in aqueous media using acetonitrile as a cosolvent. The utilization of sol‐gel encapsulated AaeUPO offers a promising approach for oxyfunctionalization reactions and improves the chances for this enzyme to be incorporated in the same pot with other chemical transformations.
Intercalation of Al3+ into Prussian Blue Analogues from Nonaqueous Electrolytes
Authors: Zheng Jiening , Yi Ke , Chang Chengkang 
Published: August 2024

AbstractNonaqueous aluminum‐ion batteries (AIBs) provide advantages, such as high energy density, enhanced safety, and reduced corrosion, making them ideal for advanced energy storage solutions. A key challenge faced by AIBs is the lack of suitable cathode materials for rapid Al‐ion insertion /extraction. Herein, K2Mn[Fe(CN)6] 2H2O (KMHCF) is innovatively chosen as a model to investigate the aluminum storage performance of Prussian blue analogues in nonaqueous AIBs. As anticipated, the KMHCF allows for reversible aluminum storage and exhibits characteristic charge/discharge plateaus. Furthermore, carbon combined highly crystalline KMHCF (HC‐KMHCF@C) is synthesized through a chelator‐assisted preparation method in combination with an in situ carbon compositing technique. With reduced [Fe(CN)6]4⁻ defects, lower interstitial water content, and enhanced conductivity, HC‐KMHCF@C exhibits a high aluminum storage capacity (146.2 mAh g⁻¹ at 0.5 A g⁻¹) and satisfactory cycling performance (maintaining 86.4 mAh g⁻¹ after 800 cycles). The electrochemical reaction mechanism of HC‐KMHCF@C is investigated in detail. During the initial charge, K⁺ ions are extracted, shifting the structure from monoclinic to cubic. In subsequent cycles, reversible Al3+ insertion and extraction cause the structure to alternate between monoclinic and cubic phases.
Digitalization in Preclinical Research: Advancements and Implications
Authors: Michalska-Falkowska Anna , Sargsyan Karine 
Published: August 2024

AbstractDigital technologies are omnipresent and have influenced the entire continuum of preclinical research activities both in high-income countries and low-and middle-income countries. This chapter describes the many different aspects of preclinical research and how it is affected by digitization. These include the digital tools and technologies in preclinical research, the ways in which digitization enhances data management in preclinical research, as well as experimental design in preclinical research.
Governance and Regulation Specifics
Authors: Ferry Nicolas , Hofman Paul 
Published: August 2024

AbstractGovernance defines all the political and administrative aspects of an authority that manage a country’s affairs, according to the Committee of Experts on Public Administration (2006). This includes the different institutions, processes and methods used by citizens and groups of individuals to formulate their interests, exercise their legal rights, meet their obligations, and arbitrate their disputes. Thus, science governance usually describes a global organization with a well-defined structure aiming to facilitate a desirable feature set. Many people would probably align on which are the functions that are desirable, and that structure somehow shapes the functions, meaning that this system can be dynamically driven (Lubell 2021).
Future Developments of Digital Health and Considerations on Sustainability
Authors: Zamstein Noa , Nanyonga Sandra , Morel Estelle , Wayne Rachel , Nottebaum Sven , Kozlakidis Zisis 
Published: August 2024

AbstractThe transformation of future healthcare capacity through the digitisation of healthcare systems will enable these systems to respond to future emergencies, as well as increased population pressures. The realisation over the last few decades that technologically empowered solutions can be implemented and work well, including within LMICs, was further expanded through the recent pandemic. Current challenges pertain to the scaling up of digital healthcare technologies, and their sustainability post-introduction in the field. Solutions to these challenges have already emerged, such as synthetic data, which allows the use of high-quality datasets without compromising the security of the original datasets. Ultimately, health outcomes can potentially be improved within an active health-data ecosystem, where both patients and healthcare providers are active participants, i.e. both generating and ingesting healthcare data. However, for that to be achieved, the sustainability of digitalization of healthcare in LMICs needs to be considered through the lens of infrastructural, financial, ethical and regulatory concerns.
The Emergence and Growth of Digital Health in Saudi Arabia: A Success Story
Authors: AlWatban Noof , Othman Fatmah , Almosnid Nadin , AlKadi Khulud , Alajaji Mai , Aldeghaither Dalal 
Published: August 2024

AbstractThe development of Digital Health in Saudi Arabia has been evolving at a rapid pace, in alignment with the health sector’s 2030 Transformation Program. This chapter will cover the development of the digital health sector and outline some of the main technologies that serve it. As an introduction, the journey of digital health, specifically Electronic Health Records, among other technologies within the landscape of Saudi Arabia, have been outlined. Followed by an introduction of the digital health transformation, technologies and solutions that were introduced or enhanced in the existing digital market, including: Telemedicine, patient portals, mHealth, wearable health monitoring technologies, virtual reality and augmented reality, artificial intelligence, blockchains, and the Seha virtual hospital. The chapter will be explored through references to key players in the digital health ecosystem, such as the patients, providers, the Ministry of Health (MOH), other regulators and initiatives, including their contributions to digital health in the Kingdom. The chapter will conclude with implications and opportunities for investment in this field, specifically artificial intelligence (AI). Research, partnerships and changing healthcare reform are highlighted as driving improvements in Saudi Arabian digital health.
Needs of Healthcare and Medical Research Digitization in Developing Countries: Digital Health Infrastructure
Authors: Vandenberg Olivier , Kozlakidis Zisis 
Published: August 2024

AbstractDigital health and digitization in healthcare have only accelerated by the recent COVID-19 pandemic. LMIC settings face a unique complexity of healthcare challenges, where digital health infrastructure is likely to ameliorate at least part of the existing pressures. However, persistent infrastructure challenges provide a barrier to implementation. Therefore, key considerations have to be taken into account for key structural needs: firstly, the likely greater impact of digitalization in LMICs on primary healthcare, and as such the design of systems to support smaller, inter-connected units; secondly, the tropicalization of equipment, that can bely opportunities for co-development of digitalization applications under a universal health coverage system; and thirdly, the greater availability of field performance studies in LMICs, that would eventually inform future funding and support models. The digitization of healthcare in LMICs will be context-driven, and as such different implementation models are likely to emerge. Taking the key considerations above into account, such models can be further optimized to respond to the national/regional healthcare needs and pressures.
Digitization of Healthcare in LMICs: Challenges and Opportunities in Data Governance and Data Infrastructure
Authors: Kozlakidis Zisis , Kealy Jennifer , Henderson Marianne K. 
Published: August 2024

AbstractThe increasing digitization of healthcare in LMICs is an ongoing process that occurs at different rates and with variable impacts on the patient populations of different countries. The healthcare data infrastructure has to overcome the local milieu of challenges, and while addressing those, any implementation effectiveness would depend on the different regulatory and legal frameworks extant at each location. The examples used in this chapter come primarily from the Americas (as a representative global snapshot), and highlight the relative lack of regulations specific to digital healthcare applications, as well as use of healthcare data. A major challenge includes the acute need for digital education of the professional and wider population. Despite the above, the COVID-19 pandemic has sharpened the national focus on healthcare digitization, interconnectivity of stakeholders and interoperability of available systems. It is hoped that these aspects, now that they have risen to the top of the agenda, will be addressed in a constructive and effective manner, taking into consideration tailor-made approaches, optimizing the resources deployed to enhance the countries’ digital ecosystems.