bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Unified Algorithm for Phase-Stability/Split Calculation for Multiphase Isobaric-Isothermal Flash
Authors: Zhu Di , Eghbali Sara , Shekhar Chandra , Okuno Ryosuke 
Published: November 2017

Summary
The conventional method for multiphase flash is the sequential usage of phase-stability and phase-split calculations. Multiphase flash requires the conventional method to obtain multiple false solutions in phase-split calculations and correct them in phase-stability analysis. Improvement of the robustness and efficiency of multiphase flash is important for compositional flow simulation with complex phase behavior.
This paper presents a new algorithm that solves for stationary points of the tangent-plane-distance (TPD) function defined at an equilibrium-phase composition for isobaric-isothermal (PT) flash. A solution from the new algorithm consists of two groups of stationary points: tangent and nontangent stationary points of the TPD function. Hence, equilibrium phases, at which the Gibbs free energy is tangent to the TPD function, are found as a subset of the solution.
Unlike the conventional method, the new algorithm does not require finding false solutions for robust multiphase flash. The advantage of the new algorithm in terms of robustness is more pronounced for more-complex phase behavior, for which multiple local minima of the Gibbs free energy are present. Case studies show that the new algorithm converges to a lower Gibbs free energy compared with the conventional method for the complex fluids tested. It is straightforward to implement the algorithm because of the simple formulation, which also allows for an arbitrary number of iterative compositions. It can be robustly initialized even when no K value correlation is available for the fluid of interest. Although the main focus of this paper is on robust solution of multiphase flash, the new algorithm can be used to initialize a second-order convergent method in the vicinity of a solution.
Systemic manifestations of Cuterebra infection in dogs and cats: 42 cases (2000–2014)
Authors: Rutland Bronwyn E. , Byl Kevin M. , Hydeskov Helle B. , Miniter Brianna , Johnson Cheri A. 
Published: November 2017

Abstract
OBJECTIVE To document clinical signs in cats and dogs with Cuterebra infection, determine the outcome of infected animals, and determine whether Yorkshire Terriers were more commonly affected than other breeds of dogs.
DESIGN Retrospective case series.
ANIMALS 22 cats and 20 dogs with Cuterebra infection.
PROCEDURES Medical records of dogs and cats with Cuterebra infection were reviewed for signalment, history, clinical and laboratory findings, treatment, duration of hospitalization, and outcome.
RESULTS Most (16/20 [80%]) of the dogs weighed ≤ 4.5 kg (10 lb), and Yorkshire Terriers were overrepresented (8/20 [40%]), compared with dogs of other breeds. Ten (50%) dogs and 3 (14%) cats had systemic inflammatory response syndrome at the time of initial evaluation, and 8 (40%) dogs but none of the cats had disseminated intravascular coagulation. The overall mortality rate was 17% (7/42), but was higher for dogs (6/20 [30%]) than cats (1/22 [4.5%]). All 6 dogs that died weighed ≤ 4.5 kg and had systemic inflammatory response syndrome, disseminated intravascular coagulation, or both.
CONCLUSIONS AND CLINICAL RELEVANCE Results indicated that Cuterebra infection can cause severe systemic illness in small-breed dogs. Yorkshire Terriers were more commonly affected than were dogs of other breeds and, subjectively at least, appeared to be more likely to develop severe systemic illness.
Questing to Understand the Other without “Othering”: An Exploration of the Unique Qualities and Properties of Science Fiction as a Means for Exploring and Improving Social Inequity
Authors: Evans Janelle Marie 
Published: November 2017

Abstract
While many branches of science have sought to understand—and to even cure—human bigotry, and thereby cure the deleterious results thereof, the champion most likely to prevail in this quest is the hybrid child of art and science: the literary and cinematic genre of Science fiction. From its mixed literary heritage to its inability to be summarized by a catchall definition to its endlessly elastic point of view, Science fiction is uniquely suited to the herculean task of allowing our species to experience, understand, and accept the varied ways in which people express what it means to be human.
Atlantic Water advection vs. glacier dynamics in northern Spitsbergen since early deglaciation
Authors: Bartels Martin , Titschack Jürgen , Fahl Kirsten , Stein Rüdiger , Seidenkrantz Marit-Solveig , Hillaire-Marcel Claude , Hebbeln Dierk 
Published: November 2017

Abstract. Atlantic Water (AW) advection plays an important role in climatic, oceanographic and environmental conditions in the eastern Arctic. Situated along the only deep connection between the Atlantic and the Arctic oceans, the Svalbard Archipelago is an ideal location to reconstruct the past AW advection history and document its linkage with local glacier dynamics, as illustrated in the present study of a 275 cm long sedimentary record from Woodfjorden (northern Spitsbergen; water depth: 171 m) spanning the last  ∼  15 500 years. Sedimentological, micropalaeontological and geochemical analyses were used to reconstruct changes in marine environmental conditions, sea ice cover and glacier activity. Data illustrate a partial break-up of the Svalbard–Barents Sea Ice Sheet from Heinrich Stadial 1 onwards (until  ∼  14.6 ka). During the Bølling–Allerød ( ∼  14.6–12.7 ka), AW penetrated as a bottom water mass into the fjord system and contributed significantly to the destabilization of local glaciers. During the Younger Dryas ( ∼  12.7–11.7 ka), it intruded into intermediate waters while evidence for a glacier advance is lacking. A short-term deepening of the halocline occurred at the very end of this interval. During the early Holocene ( ∼  11.7–7.8 ka), mild conditions led to glacier retreat, a reduced sea ice cover and increasing sea surface temperatures, with a brief interruption during the Preboreal Oscillation ( ∼  11.1–10.8 ka). Due to a  ∼  6000-year gap, the mid-Holocene is not recorded in this sediment core. During the late Holocene ( ∼  1.8–0.4 ka), a slightly reduced AW inflow and lower sea surface temperatures compared to the early Holocene are reconstructed. Glaciers, which previously retreated to the shallower inner parts of the Woodfjorden system, likely advanced during the late Holocene. In particular, topographic control in concert with the reduced summer insolation partly decoupled glacier dynamics from AW advection during this recent interval.
Development and Evaluation of an Enzyme-Linked Immunosorbent Assay Using a Nonpoisonous Extraction System for the Determination of Crustacean Protein in Processed Foods
Authors: Koizumi Daisuke , Shirota Kazuya , Oda Hiroshi , Adachi Reiko , Sakai Shinobu , Akiyama Hiroshi , Nishimaki-Mogami Tomoko , Teshima Reiko 
Published: November 2017

Abstract
Crustacean proteins are food allergens that cause severe allergic reactions in patients with food allergies; therefore, the identification of crustaceans such as shrimp, crab, and lobster as ingredients in processed food products is mandatory in Japan. We previously developed and validated an ELISA method coupled with an extraction process using the surfactant sodium dodecyl sulfate and the reductant 2-mercaptoethanol (2-ME) to quantify crustacean protein. However, 2-ME was designated as poisonous in Japan in 2008. Therefore, in this study, we developed and evaluated an ELISA method for detecting and quantifying crustacean protein that uses sodium sulfite (Na2SO3) in place of 2-ME for extraction. The proposed ELISA method showed high sensitivity, with an LOQ of 0.66 μg protein/g food sample. Furthermore, the proposed method showed high specificity for the Decapoda order within the subphylum Crustacea, with recoveries ranging from 83.8 to 100.8% for model processed foods, as well as high reproducibility (intra- and interassay CVs of ≤8.2%) and high correlation with our previously validated ELISA method for processed foods (correlation coefficient of 0.996). The proposed ELISA method does not require the use of poisonous reagents, provides acceptable accuracy, and is useful for the routine monitoring of food products.
Böden als Ackerstandorte – physikalische Aspekte
Authors: Horn Rainer , Fleige Heiner , Mordhorst Anneka 
Published: October 2024

Ackerstandorte sollten nicht nur einen gut strukturierten, lockeren und humosen Oberboden (A‐Horizont), sondern auch einen leicht durchwurzelbaren Unterboden mit einer stabilen Bodenstruktur besitzen. Letztere verkörpert ein stabiles und kontinuierliches Porensystem mit einem günstigen luft‐ und wasserhaltenden und ‐leitenden Porensystem sowie eine gute Erreichbarkeit der Sorptionsflächen von Tonpartikeln und organischer Substanz für Nährstoffe. Günstige Standorteigenschaften werden heutzutage aufgrund nicht angepasster Bewirtschaftung häufig nicht mehr gewährleistet, sodass die Böden zunehmend physiologisch flachgründig und weniger resilient und damit besonders in Zeiten extremer Witterungsbedingungen (zu nass oder zu trocken) weniger ertragssicher werden. Negative Gefügeveränderungen im Unterboden, z. B. durch Verdichtung, beeinträchtigen nicht nur wichtige natürliche Funktionen im Nährstoff‐, Wärme‐, Luft‐ und Wasserhaushalt sowie die Pflanzenproduktivität, sondern können auch weitreichende Folgen für die Umwelt haben, wie eine geringere Grundwasserneubildung oder eine erhöhte Wassererosion. Eine nachhaltige Nutzung der Ackerböden ist gerade im Zuge des Klimawandels besonders wichtig, denn nur so können wir eine hohe Resilienz gegenüber äußeren Einflüssen gewährleisten.
AI‐assisted research collaboration with open data for fair and effective response to call for proposals
Authors: Valluru Siva Likitha , Widener Michael , Srivastava Biplav , Natarajan Sriraam , Gangopadhyay Sugata 
Published: October 2024

AbstractBuilding teams and promoting collaboration are two very common business activities. An example of these are seen in the TeamingForFunding problem, where research institutions and researchers are interested to identify collaborative opportunities when applying to funding agencies in response to latter's calls for proposals. We describe a novel deployed system to recommend teams using a variety of Artificial Intelligence (AI) methods, such that (1) each team achieves the highest possible skill coverage that is demanded by the opportunity, and (2) the workload of distributing the opportunities is balanced among the candidate members. We address these questions by extracting skills latent in open data of proposal calls (demand) and researcher profiles (supply), normalizing them using taxonomies, and creating efficient algorithms that match demand to supply. We create teams to maximize goodness along a novel metric balancing short‐ and long‐term objectives. We evaluate our system in two diverse settings in US and India of researchers and proposal calls, at two different time instants about 1 year apart (total 4 settings), to establish generality of our approach, and deploy it at a major US university. We validate the effectiveness of our algorithms (1) quantitatively, by evaluating the recommended teams using a goodness score and find that more informed methods lead to recommendations of smaller number of teams and higher goodness, and (2) qualitatively, by conducting a large‐scale user study at a college‐wide level, and demonstrate that users overall found the tool very useful and relevant.
In Vitro Sonodynamic Therapy Using a High Throughput 3D Glioblastoma Spheroid Model with 5‐ALA and TMZ Sonosensitizers
Authors: Datta Priyankan , Lee Nan Sook , Moolayadukkam Sreejesh , Sahu Rakesh P. , Yu Xi , Guo Tianze , Zhou Qifa , Wang Y. , Puri Ishwar K. 
Published: October 2024

AbstractSonodynamic therapy (SDT) administered using low‐intensity pulsed ultrasound and sonosensitizers is an emerging, minimally invasive, targeted deep‐tissue therapy for solid tumors such as glioblastoma multiforme (GBM). Initial clinical trials show promising outcomes for SDT treatments of GBM. A crucial aspect of SDT is the sonosensitizer that interacts with ultrasound, facilitating energy transfer to the tumor, thus inducing therapeutic efficacy. Current in vitro methods for determining the therapeutic efficacies of sonosensitizers are time‐consuming and expensive. A novel high‐throughput magnetically printed 3D GBM model is used to overcome this challenge. The hypothesis is that the use of two sonosensitizers, one a chemotherapeutic drug, enhances SDT efficacy through their additive chemical interactions. The GBM model is used to evaluate the effectiveness of two sonosensitizer molecules, 5‐aminolevulinic acid (5‐ALA) and theU.S. Food and Drug Administration (FDA)‐approved chemotherapeutic drug Temozolomide (TMZ). It is confirmed that implement high‐throughput GBM models to evaluate sonosensitizer combinations and their efficacies is feasible and, for the first time, show that the combined effect of both sensitizers, 5‐ALA and TMZ, is superior for preventing spheroid growth than employing each molecule separately. This finding is relevant for future clinical trials of GBM treatment with SDT.
CD169+ Macrophages Mediate the Immune Response of Allergic Rhinitis Through the Keap1/Nrf2/HO‐1 Axis
Authors: Qi Wenwen , Liu Chengcheng , Shi Lei , Li Hui , Hou Xiaozhi , Du Hongjie , Chen Luqiu , Gao Xiaochen , Cao Xue , Guo Na , Dong Yuhan , Li Chengzhilin , Yuan Fanyu , Teng Zhenxiao , Hu Houyang , Zhu Fangyuan , Zhou Xuanchen , Guo Lulu , Zhao Miaoqing , Xia Ming 
Published: October 2024

AbstractCD169+ macrophages are a newly defined macrophage subpopulation that can recognize and bind with other cells through related ligands, playing an essential role in antigen presentation and immune tolerance. However, its role in Allergic Rhinitis (AR) is still unclear. To investigate the characteristics of CD169+ macrophages in AR, this work first detects their expression patterns in the nasal mucosa of clinical patients. These results show a significant increase in CD169+ macrophages in the nasal mucosa of patients with AR. Subsequently, this work establishes an animal AR model using CD169 transgenic mice and compared the advantages of the two models. Moreover, this work also demonstrates the effects of CD169 knockout on eosinophils, Th cells, Treg cells, and the migration of dendritic cells (DCs). In addition, this metabolomic data shows that CD169+ macrophages can upregulate alanine production and increase reactive oxygen species (ROS) levels. This process may be mediated through the Keap1/Nrf2/HO‐1 signaling pathway. In addition, this work also finds that SLC38A2 plays an essential role in the process of CD169+ macrophages promoting alanine uptake by DCs. This study confirms that CD169+ macrophages can upregulate their internal alanine production and increase ROS levels through the Keap1/Nrf2/HO‐1 axis, playing an irreplaceable role in AR.
Pericytes Modulate Third‐Generation Tyrosine Kinase Inhibitor Sensitivity in EGFR‐Mutated Lung Cancer Cells Through IL32‐β5‐Integrin Paracrine Signaling
Authors: Huang Cheng , Huang Xi , Qiu Xiaoyi , Kong Xiangzhan , Wu Chunmiao , Jiang Xue , Yao Mingkang , Wang Minghui , Su Liangping , Lv Cui , Wong Ping‐Pui 
Published: October 2024

AbstractEGFR‐mutated lung cancer patients sometimes display restricted responses to third‐generation tyrosine kinase inhibitors (TKIs), potentially attributable to undervalued input from stromal cells, notably pericytes (PCs). The study shows that PCs isolated from EGFR‐mutated patients have a unique secretome profile, notably secreting IL32 and affecting signaling pathways and biological processes linked to TKI sensitivity. Clinical evidence, supported by single‐cell RNA sequencing and multiplex immunostaining of tumor tissues, confirms the presence of IL32‐expressing pericytes closely interacting with β5‐integrin‐expressing cancer cells in EGFR‐mutated patients, impacting therapeutic response and prognosis. Co‐culture and conditioned medium experiments demonstrate that PCs reduce TKI effectiveness in EGFR‐mutated cancer cells, a reversible phenomenon through silencing IL32 expression in PCs or depleting the IL32 receptor β5‐integrin on cancer cells, thereby restoring cancer cell sensitivity. Mechanistically, it is shown that YY1 signaling upregulates IL32 secretion in PCs, subsequently activating the β5‐integrin‐Src‐Akt pathway in EGFR‐mutated cancer cells, contributing to their TKI sensitivity. In animal studies, co‐injection of cancer cells with PCs compromises TKI effectiveness, independently of blood vessel functions, while inhibition of β5‐integrin restores tumor cell sensitivity. Overall, the findings highlight direct crosstalk between cancer cells and pericytes, impacting TKI sensitivity via IL32‐β5‐integrin paracrine signaling, proposing an enhanced therapeutic approach for EGFR‐mutated patients.
Boosting Coercivity of 3D Printed Hard Magnets through Nano‐Modification of the Powder Feedstock
Authors: Gabriel Philipp , Nallathambi Varatharaja , Liu Jianing , Staab Franziska , Oyedeji Timileyin David , Yang Yangyiwei , Hantke Nick , Adabifiroozjaei Esmaeil , Recalde‐Benitez Oscar , Molina‐Luna Leopoldo , Rao Ziyuan , Gault Baptiste , Sehrt Jan T. , Scheibel Franziska , Skokov Konstantin , Xu Bai‐Xiang , Durst Karsten , Gutfleisch Oliver , Barcikowski Stephan , Ziefuss Anna Rosa 
Published: October 2024

AbstractThe demand for strong, compact permanent magnets essential for the energy transition drives innovation in magnet manufacturing. Additive manufacturing, particularly Powder Bed Fusion of metals using a laser beam (PBF‐LB/M), offers potential for near‐net‐shaped Nd‐Fe‐B permanent magnets but often falls short compared to conventional methods. A less explored strategy to enhance these magnets is feedstock modification with nanoparticles. It is demonstrated that modifying a Nd‐Fe‐B‐based feedstock with 1 wt.% Ag nanoparticles boost the coercivity of the magnets to a record value of 935 ± 6 kA m−1 without further post‐processing or heat treatments. Suitable volumetric energy densities for the PBF‐LB/M process are determined using finite element simulations predicting melt pool behavior and part density. Microstructural analyses reveal finer grain sizes and more equiaxed nanocrystalline structures due to the modification. Atom probe tomography identifies three phases in the Ag‐modified samples, with Ag forming nanophase regions with rare‐earth elements near the amorphous Zr‐Ti‐B‐rich intergranular phase, potentially decoupling the Nd2Fe14B primary phase. The study shows that superior magnetic properties primarily result from microstructure modification rather than part density. These findings highlight inventive material design approaches via feedstock surface modification to achieve superior magnetic performance in additively manufactured Nd‐Fe‐B magnets.
Challenges and Prospects of Low‐Temperature Rechargeable Batteries: Electrolytes, Interfaces, and Electrodes
Authors: Yang Yaxuan , Zhao Lingfei , Zhang Yiyang , Yang Zhuo , Lai Wei‐Hong , Liang Yaru , Dou Shi‐Xue , Liu Min , Wang Yun‐Xiao 
Published: October 2024

AbstractRechargeable batteries have been indispensable for various portable devices, electric vehicles, and energy storage stations. The operation of rechargeable batteries at low temperatures has been challenging due to increasing electrolyte viscosity and rising electrode resistance, which lead to sluggish ion transfer and large voltage hysteresis. Advanced electrolyte design and feasible electrode engineering to achieve desirable performance at low temperatures are crucial for the practical application of rechargeable batteries. Herein, the failure mechanism of the batteries at low temperature is discussed in detail from atomic perspectives, and deep insights on the solvent–solvent, solvent–ion, and ion–ion interactions in the electrolytes at low temperatures are provided. The evolution of electrode interfaces is discussed in detail. The electrochemical reactions of the electrodes at low temperatures are elucidated, and the approaches to accelerate the internal ion diffusion kinetics of the electrodes are highlighted. This review aims to deepen the understanding of the working mechanism of low‐temperature batteries at the atomic scale to shed light on the future development of low‐temperature rechargeable batteries.
Enriched Environment Reduces Seizure Susceptibility via Entorhinal Cortex Circuit Augmented Adult Neurogenesis
Authors: Li Zhongxia , Chen Liying , Fei Fan , Wang Wenqi , Yang Lin , Wang Yu , Cheng Heming , Xu Yingwei , Xu Cenglin , Wang Shuang , Gu Yan , Han Feng , Chen Zhong , Wang Yi 
Published: October 2024

AbstractEnriched environment (EE), characterized by multi‐sensory stimulation, represents a non‐invasive alternative for alleviating epileptic seizures. However, the mechanism by which EE exerts its therapeutic impact remains incompletely understood. Here, it is elucidated that EE mitigates seizure susceptibility through the augmentation of adult neurogenesis within the entorhinal cortex (EC) circuit. A substantial upregulation of adult hippocampal neurogenesis concomitant with a notable reduction in seizure susceptibility has been found following exposure to EE. EE‐enhanced adult‐born dentate granule cells (abDGCs) are functionally activated during seizure events. Importantly, the selective activation of abDGCs mimics the anti‐seizure effects observed with EE, while their inhibition negates these effects. Further, whole‐brain c‐Fos mapping demonstrates increased activity in DG‐projecting EC CaMKIIα+ neurons in response to EE. Crucially, EC CaMKIIα+ neurons exert bidirectional modulation over the proliferation and maturation of abDGCs that can activate local GABAergic interneurons; thus, they are essential components for the anti‐seizure effects mediated by EE. Collectively, this study provides compelling evidence regarding the circuit mechanisms underlying the effects of EE treatment on epileptic seizures, shedding light on the involvement of the EC‐DG circuit in augmenting the functionality of abDGCs. This may help for the translational application of EE for epilepsy management.
Role of Trapping in Non‐Volatility of Electrochemical Neuromorphic Organic Devices
Authors: Barbosa Henrique Frulani de Paula , Schander Andreas , Asyuda Andika , Bislich Luka , Bornemann Sarah , Lüssem Björn 
Published: October 2024

AbstractArtificial Neural Networks (ANN) require a better platform to reduce their energy consumption and achieve their full potential. Electrochemical devices like the Electrochemical Neuromorphic Organic Device (ENODe) stand out as a potential building block for ANNs, due to their lower energy demand, in addition to their biocompatibility and access to multiple and stable memory levels. However, the non‐volatile effect observed in these devices is not yet fully understood. Hence, here we propose a 2D drift‐diffusion model that is capable to reproduce the device behavior. The model relies on the assumption of trapping sites for cations, which are increasingly filled or emptied during subsequent pre‐synaptic pulses. The model is verified by experiments on devices with varying post‐synaptic dimensions. Overall, the results provide a framework to discuss ENODe operation and design strategies for ENODes with well‐controlled memory states.