bluuebunny/crossref_metadata_2025_split huggingface dataset:
Probing the Electron Accepting Ability of Phosphaphenalenes
Authors: Zhao Peng , Liang Qiuming , Hu Chaopeng , Jiang Ya‐Fei , Chang Xiao‐Yong , Wang Lili , Mei Yanbo , Duan Zheng 
Published: June 2024

AbstractPhosphaphenalenes, extended π conjugates with the incorporation of phosphorus, are attractive avenues towards molecular materials for the applications in organic electronics, but their electron accepting ability have not been investigated. Herein we present systematic studies on the reductive behavior of a representative phosphaphenalene and its oxide by chemical and electrochemical methods. The chemical reduction of the phosphaphenalene by alkali metals reveals the facile P−C bond cleavage to form phosphaphenalenide anion, which functions as a transfer block for structure modification on the phosphorus atom. In contrast, the pentavalent P‐oxide reacts with one or two equivalents of elemental sodium to form stable radical anion and dianion salts, respectively.
N, O Co‐Doping Enhanced Adsorption of Chloramphenicol for Highly Efficient and Robust Electrocatalytic Hydrodechlorination
Authors: Cheng Xue‐Feng , Cao Qiang , Liu Qing , Zhang Hao‐Yu , Xu Qing‐Feng , Lu Jian‐Mei 
Published: June 2024

Comprehensive SummaryElectrocatalysis technology can effectively promote the hydrodechlorination of chloramphenicol (CAP) to reduce the bio‐toxicity. However, there are still some challenges such as low degradation rate and poor stability. Here, we prepared porous N, O co‐doped carbon supported Pd nanoparticles composites (Pd NPs/NO‐C) for electrocatalytic degradation of CAP. The doping of N and O not only effectively enhanced the interaction between substrate and CAP, promoting the mass transfer process, but also enhanced the anchoring effect on Pd nanoparticles, avoiding the occurrence of aggregation. The prepared composites achieved removal efficiency of CAP over 99% within 1 h, and the rate constant was as high as 6.72 h–1, outperforming previous reported electrocatalysts. Additionally, Pd NPs/NO‐C composites showed a wide range of pH tolerance, excellent ion interference resistance and long‐term stability. Our work unravels the importance of mass transfer processes in solution to electrocatalytic hydrodechlorination and provides new research ideas for catalysts design.
The impact of different fixatives on immunostaining of lung adenocarcinomas in pleural effusion cell blocks
Authors: Mansour Mohammed S. I. , Pettersson Louise , Seidal Tomas , Strömberg Ulf , Mager Ulrich , Ali Lana , Kumbaric Sana , Hejny Kim , Taheri‐Eilagh Fereshteh , Mufti Joudy , Nakdali Dawla , Brunnström Hans 
Published: June 2024

AbstractBackgroundCell blocks (CBs) are widely used for biomarker analyses such as immunostaining. Although immunohistochemistry on formalin‐fixed paraffin‐embedded tissues is standardized, there are multiple preparation methods and fixatives for cytology. Our objective was to investigate the effect of different common fixatives on the immunoreactivity of pleural effusion CBs with metastatic lung adenocarcinomas.MethodsThis prospective study included 24 malignant pleural effusions from different patients with lung adenocarcinoma. From each case, four identical CBs were fixed in 10% neutral buffered formalin, PreservCyt, CytoLyt, and CytoRich Red (only 17 of the cases), respectively. Samples containing <100 malignant cells were excluded. All CBs were stained with thyroid transcription factor 1 (TTF‐1; clones 8G7G3/1 and SPT24), napsin A, claudin 4, CEA, CK7, and epithelial cell adhesion molecule (EpCAM; clones BS14, Ber‐Ep4, and MOC‐31). The fraction and intensity of stained cells were evaluated.ResultsOf the investigated markers, a significant difference in staining proportion was seen for TTF‐1 clone 8G7G3/1 and EpCAM clone MOC‐31, especially with cases being negative in CytoLyt (33.3% and 83.3% positive, respectively) and PreservCyt (62.5% and 83.3%) whereas being positive in CytoRich Red (76.5% and 94.1%) and formalin (both 95.8%). A significantly weaker intensity of staining was seen for all alcohol‐based fixatives compared to formalin for TTF‐1 clone 8G7G3/1, napsin A, and EpCAM clone MOC‐31, whereas EpCAM clone Ber‐Ep4 was significantly weaker only in PreservCyt compared with formalin.ConclusionsImmunocytochemical expression and concordance with formalin‐fixed CBs differ depending on the used fixative as well as the antibody and clone, warranting investigation of the reliability of each biomarker for non–formalin‐fixed cytology.
Direct Production of Sustainable Aviation Fuel by Deoxygenation and Isomerization of Triglycerides Over Bifunctional Ir−ReOx/SAPO‐11 Catalyst
Authors: Praikaew Wanichaya , Chuseang Jirawat , Prameswari Jedy , Ratchahat Sakhon , Chaiwat Weerawut , Koo‐Amornpattana Wanida , Assabumrungrat Suttichai , Lin Yu‐Chuan , Srifa Atthapon 
Published: June 2024

AbstractCatalytic thermochemical conversion offers a sustainable method to upgrade oil‐based feedstocks into highly valuable biofuel, aligning with the modern biorefinery concept. Herein, a series of IrRe/SAPO‐11 catalysts with different Ir to Re molar ratios compared to reference Ir/SAPO‐11 and Re/SAPO‐11 catalysts was prepared using a wetness impregnation method. These catalysts were used for the direct production of sustainable aviation fuels (SAFs) via efficient hydrodeoxygenation and hydroisomerization of triglycerides. The catalyst screening confirmed that the optimum IrRe/SAPO‐11 catalyst, with an equivalent Ir to Re molar ratio, exhibited the highest hydrodeoxygenation activity under milder operation conditions than the conditions used in previous studies. Increasing the reaction temperature up to 330 °C enhanced the formation of iso‐alkanes in the liquid product, achieving a freezing point of −31.4 °C without additional cold flow improvers. Furthermore, a long‐term stability experiment demonstrated that the developed Ir−Re system exhibited exceptional performance over 150 h. This excellent catalytic activity and stability of the bifunctional IrRe/SAPO‐11 catalyst was owing to its suitable interface between metallic and oxide sites, mixed mesoporous structures, reduced catalyst size, and increased Lewis acid ratio, as confirmed by our comprehensive characterizations.
Clarifying Glycerol Electrooxidation Studies on Pd‐Based Catalysts: Insights Into Catalytic Performance and Practical Challenges
Authors: Zanata Cinthia R. , Alencar Leticia M. , Santos Alexandre B. , Souza Victor H. R. , Camara Giuseppe A. , Martins Cauê A. 
Published: June 2024

AbstractEscalating biodiesel production led to a surplus of glycerol, prompting its exploration as a valuable resource in industrial applications. Electrochemical systems have been studied, specifically employing noble metal catalysts like palladium for glycerol electrooxidation. Despite numerous studies on Pd‐based catalysts for glycerol electrooxidation, a comprehensive analysis addressing critical questions related to the economic feasibility, global sourcing of Pd, and the thematic cohesion of publications in this field is lacking. Moreover, a standardized framework for comparing the results of various studies is absent, hindering progress on glycerol technologies. This critical overview navigates the evolution of Pd‐based catalysts for glycerol electrooxidation, examining catalytic activity, stability, and potential applications. It critically addresses the geographical sources of Pd, the motivation behind glycerol technology exploration, thematic coherence in existing publications, and the meaningful comparison of results. It correlates the use of Pd‐based catalysts with the natural source of Pd and the origin of glycerol derived from biodiesel. The proposed standardized approach for comparing electrochemical parameters and establishing experimental protocols provides a foundation for meaningful study comparisons. This critical overview underscores the need to address fundamental questions to accelerate the transition of glycerol technologies from laboratories to practical applications.
Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey
Authors: Khani Mohsen , Jamali Shahram , Sohrabi Mohammad Karim , Sadr Mohammad Mohsen , Ghaffari Ali 
Published: June 2024

SummaryThe emergence of 5G networks has increased the demand for network resources, making efficient resource management crucial. Slice admission control (SAC) is a process that governs the creation and allocation of virtualized network environments, known as “network slices,” which can be tailored to meet specific user requirements. However, traditional SAC methods face dynamic and heterogeneous challenges in wireless networks, especially in cloud radio access networks (C‐RANs). To address this issue, machine learning (ML) techniques, particularly deep reinforcement learning (DRL), have been proposed as powerful tools for optimizing SAC. DRL‐based approaches enable SAC systems to learn from previous interactions with the network environment and dynamically adapt to changing network conditions. This review article comprehensively explains the current state‐of‐the‐art DRL‐based SAC, focusing on C‐RANs. The article identifies key challenges and future research directions and highlights the potential benefits of using DRL for SAC, including improved network performance and efficiency. However, deploying these systems in real‐world scenarios presents several challenges and trade‐offs that need to be carefully considered. Further research and development are required to address these challenges and ensure the successful deployment of DRL‐based SAC systems in wireless networks.
Treed Gaussian processes for animal movement modeling
Authors: Rieber Camille J. , Hefley Trevor J. , Haukos David A. 
Published: June 2024

AbstractWildlife telemetry data may be used to answer a diverse range of questions relevant to wildlife ecology and management. One challenge to modeling telemetry data is that animal movement often varies greatly in pattern over time, and current continuous‐time modeling approaches to handle such nonstationarity require bespoke and often complex models that may pose barriers to practitioner implementation. We demonstrate a novel application of treed Gaussian process (TGP) modeling, a Bayesian machine learning approach that automatically captures the nonstationarity and abrupt transitions present in animal movement. The machine learning formulation of TGPs enables modeling to be nearly automated, while their Bayesian formulation allows for the derivation of movement descriptors with associated uncertainty measures. We demonstrate the use of an existing R package to implement TGPs using the familiar Markov chain Monte Carlo algorithm. We then use estimated movement trajectories to derive movement descriptors that can be compared across individuals and populations. We applied the TGP model to a case study of lesser prairie‐chickens (Tympanuchus pallidicinctus) to demonstrate the benefits of TGP modeling and compared distance traveled and residence times across lesser prairie‐chicken individuals and populations. For broad usability, we outline all steps necessary for practitioners to specify relevant movement descriptors (e.g., turn angles, speed, contact points) and apply TGP modeling and trajectory comparison to their own telemetry datasets. Combining the predictive power of machine learning and the statistical inference of Bayesian methods to model movement trajectories allows for the estimation of statistically comparable movement descriptors from telemetry studies. Our use of an accessible R package allows practitioners to model trajectories and estimate movement descriptors, facilitating the use of telemetry data to answer applied management questions.
Adaptive responses to habitat change: Theory and tests with field experiments
Authors: Morris Douglas W. 
Published: June 2024

AbstractHabitat loss and change are often implicated as the primary causes of species extinction. Although any population can be instantly imperiled by catastrophe, most habitat loss occurs gradually, thus enabling affected individuals an adaptive advantage to occupy the best of their dwindling opportunities. I demonstrate how to infer the advantage between two habitats for any density and frequency‐dependent strategy of habitat selection. I explore the concept of an Adaptive Dispersal Strategy Landscape to reveal the Evolutionarily Stable Strategy separately for ideal‐free and ideal preemptive habitat selectors. Both solutions reveal an initially counterintuitive expectation that individuals living at high density gain insufficient adaptive advantage to disperse from a deteriorating habitat. Adaptive dispersal is constrained at high density because habitats of better quality are fully occupied. I test the theory with measures of movement and foraging in crossover experiments on a seminatural population of meadow voles. The experiment allowed the voles to choose among patches and between enclosures in which I differentially manipulated food and shelter. Although photographs from an infrared camera documented voles venturing from one habitat to the other, none became resident. Voles preferentially foraged in the richer of the two enclosures, even when I reversed treatments, and they foraged more in patches protected by mulched straw. The adaptive advantage of dispersal using a surrogate fitness proxy based on the voles' giving‐up densities mirrored that generated by theory. The convergence between theory and experiment yields much‐needed insight into our ability to test, predict, and hopefully resolve, the ecological, evolutionary, and conservation consequences of habitat loss.
Commentators as prosumers: A legal perspective on their futures
Authors: Sivetc Liudmila 
Published: June 2024

AbstractInternet technologies have empowered commentators to participate in information production. This phenomenon has been studied as citizen journalism and media convergence. However, one perspective has remained underdeveloped: commentators are empowered as prosumers who are neither consumers nor producers. Commentators prosume comments for themselves and their communities rather than for sale. Therefore, in terms of Toffler, prosumers can raise the Sector A economy, which is typical of agricultural society, and which is overshadowed by the market or the Sector B economy in industrial society. This article highlights prosumers' freedom to post lawful comments and the implications for this freedom coming from moderation standards imposed in the EU by the European Court of Human Rights and the Digital Services Act. The analysis led to the construction of three models of information production/prosumption and the anticipatin of their futures. The article concludes by suggesting how prosumers' freedom to post lawful comments and moderators' control over comments prosumption can be balanced better from a legal perspective.
Constructing fine‐grained spatiotemporal neonatal functional atlases with spectral functional network learning
Authors: Wen Xuyun , Zhao Yunxi , Chen Geng , Zhang Han , Zhang Daoqiang 
Published: June 2024

AbstractThe early stages of human development are increasingly acknowledged as pivotal in laying the groundwork for subsequent behavioral and cognitive development. Spatiotemporal (4D) brain functional atlases are important in elucidating the development of human brain functions. However, the scarcity of such atlases for early life stages stems from two primary challenges: (1) the significant noise in functional magnetic resonance imaging (fMRI) that complicates the generation of high‐quality atlases for each age group, and (2) the rapid and complex changes in the early human brain that hinder the maintenance of temporal consistency in 4D atlases. This study tackles these challenges by integrating low‐rank tensor learning with spectral embedding, thereby proposing a novel, data‐driven 4D functional atlas generation framework based on spectral functional network learning (SFNL). This method utilizes low‐rank tensor learning to capture common functional connectivity (FC) patterns across different ages, thus optimizing FCs for each age group to improve the temporal consistency of functional networks. Incorporating spectral embedding aids in mitigating potential noise in FC networks derived from fMRI data by reconstructing networks in the spectral space. Utilizing SFNL‐generated functional networks enables the creation of consistent and highly qualified spatiotemporal functional atlases. The framework was applied to the developing Human Connectome Project (dHCP) dataset, generating the first neonatal 4D functional atlases with fine‐grained temporal and spatial resolutions. Experimental evaluations focusing on functional homogeneity, reliability, and temporal consistency demonstrated the superiority of our framework compared to existing methods for constructing 4D atlases. Additionally, network analysis experiments, including individual identification, functional systems development, and local efficiency assessments, further corroborate the efficacy and robustness of the generated atlases. The 4D atlases and related codes will be made publicly accessible (https://github.com/zhaoyunxi/neonate-atlases).
Training labor and treatment behavior: Evidence from physician residency programs
Authors: Rabideau Brendan , Richards Michael R. , Whaley Christopher M. 
Published: June 2024

AbstractPublic and private investments in physician human capital support a healthcare workforce to provide future medical services nationwide. Yet, little is known about how introducing training labor influences hospitals' provision of care. We leverage all‐payer data and emergency medicine (EM) and obstetrics (OBGYN) residency program debuts to estimate local access and treatment intensity effects. We find that the introduction of EM programs coincides with less treatment intensity and suggestive increases in throughput. OBGYN programs adopt the pre‐existing surgical tendencies of the hospital but may also relax some capacity constraints—allowing the marginal mother to avoid a riskier nearby hospital.
Human leukocyte antigen (HLA) class I expression on Hodgkin–Reed–Sternberg cells is an EBV‐independent major determinant of microenvironment composition in classic Hodgkin lymphoma
Authors: Müller‐Meinhard Berit , Seifert Nicole , Grund Johanna , Reinke Sarah , Yalcin Fatih , Kaul Helen , Borchmann Sven , von Tresckow Bastian , Borchmann Peter , Plütschow Annette , Richter Julia , Engert Andreas , Altenbuchinger Michael , Bröckelmann Paul J. , Klapper Wolfram 
Published: June 2024

AbstractHodgkin–Reed–Sternberg cells (HRSCs) in classic Hodgkin Lymphoma (HL) frequently lack expression of human leukocyte antigen class I (HLA‐I), considered to hamper activation of cytotoxic T cells in the tumor microenvironment (TME). Here, we demonstrate HLA‐I expression on HRSCs to be a strong determinant of TME composition whereas expression of HLA‐II was associated with only minor differential gene expression in the TME. In HLA‐I‐positive HL the HRSC content and expression of CCL17/TARC in HRSCs are low, independent of the presence of Epstein–Barr virus in HRSCs. Additionally, HLA‐I‐positive HL shows a high content of CD8+ cytotoxic T cells. However, an increased expression of the inhibitory immune checkpoint LAG3 on CD8+ T cells in close proximity to HRSCs is observed. Suggesting interference with cytotoxic activity, we observed an absence of clonally expanded T cells in the TME. While HLA‐I‐positive HL is not associated with an unfavorable clinical course in our cohorts, they share features with the recently described H2 subtype of HL. Given the major differences in TME composition, immune checkpoint inhibitors may differ in their mechanism of action in HLA‐I‐positive compared to HLA‐I‐negative HL.
Lingering challenges in malaria elimination efforts in sub‐Saharan Africa: Insights and potential solutions
Authors: Lawal Lukman , Buhari Ahmad Oyindamola , Jaji Tawakalitu Abdulateef , Alatare Abdulrahman Salaudeen , Adeyemo Abdulmalik Opeyemi , Olumoh Aishat Oluwakemi , Yusuff Yusuff Adesoji , Osborn Gabriel , Mogaji Abdulazeez Biodun , Adoto Bello Hussein , Ibrahim Nafisa Gbemisola , Saliu Waliyullahi Oluwafemi , Abdul‐Rahman Toufik 
Published: June 2024

AbstractIntroductionBetween 2000 and 2015, significant gains were recorded in reducing the global burden of malaria due to enhanced global collaboration and increased funding. However, progress has stagnated post‐2015, and the COVID‐19 pandemic seems to have reversed some of these gains, necessitating a critical reevaluation of interventions. This paper aims to analyze the setbacks and offer recommendations for advancement in malaria control and prevention in sub‐Saharan Africa.MethodsWe conducted searches on Google Scholar, PubMed, and relevant organization websites to identify relevant studies on malaria control and prevention and associated challenges in sub‐Saharan Africa from 2015 to the present. Additionally, studies on individual sub‐Saharan African countries were reviewed to ensure comprehensiveness. Data from selected studies were extracted and analyzed using a narrative synthesis approach to offer a concise overview of the evidence.FindingsWe observe that the halt in progress of malaria control in sub‐Saharan Africa has deep roots in socioeconomic, political, and environmental factors. These challenges are exacerbated by the population explosion in the region, low coverage of interventions due to funding deficits and incessant crises, and the degradation of the efficacy of existing malaria commodities.ConclusionSub‐Saharan Africa is at a crossroads in its fight against malaria. Promising new frontiers such as malaria vaccines, preventive monoclonal antibodies, new‐generation insecticide‐treated nets, and potentially artificial intelligence‐driven technologies offer hope in advancing malaria control and prevention in the region. Through commitment and collaboration, leveraging these opportunities can help surmount challenges and ultimately eliminate malaria in sub‐Saharan Africa.
Spatial distribution of rainfall–runoff characteristics and peak lag time in high‐relief meso‐scale mountain catchments where observations are scarce
Authors: Hajika Takafumi , Yamakawa Yosuke , Uchida Taro 
Published: June 2024

AbstractClarifying the relationship between rainfall and runoff characteristics in mountainous areas is crucial to improving flood and sediment disaster prediction. This study investigates that relationship, focusing on meso‐scale catchments of 1–10 km2 in high‐relief mountainous regions where conventional observational data are limited. Such research requires observations in multiple adjoining watersheds due to the variability of runoff patterns in mountainous river systems. However, observations are challenging in meso‐scale catchments due to equipment loss in rivers. This study included seven observation sites with catchment areas of 0.16–9.01 km2 and relative elevations exceeding 1000 m within the Higashigochi River basin, a sub‐branch of the Oi River basin in Shizuoka Prefecture, Japan. Water level gauges were strategically installed at each of these locations to prevent loss. Peak lag time (the time difference between the rainfall and water level peaks), which is crucial to flood hydrograph definition and disaster preparedness, was assessed. The results indicate a general trend of increasing peak lag time with larger catchment area, although spatial heterogeneity was observed at small sites. This finding aligns with prior studies in meso‐scale catchments within mountainous regions with relative elevations of 450 m or less, suggesting that in such meso‐scale catchments, larger catchment area tends to result in longer peak lag times, regardless of topographic undulation. Overall, the impact of topographic undulations on peak lag time appears surprisingly modest, indicating that catchment area plays a more significant role in determining peak lag time. The observed heterogeneity of peak lag time could be attributable to the influence of bedrock groundwater discharge.