bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differential integrated stress response and asparagine production drive symbiosis and therapy resistance of pancreatic adenocarcinoma cells
Authors: Halbrook Christopher J. , Thurston Galloway , Boyer Seth , Anaraki Cecily , Jiménez Jennifer A. , McCarthy Amy , Steele Nina G. , Kerk Samuel A. , Hong Hanna S. , Lin Lin , Law Fiona V. , Felton Catherine , Scipioni Lorenzo , Sajjakulnukit Peter , Andren Anthony , Beutel Alica K. , Singh Rima , Nelson Barbara S. , Van Den Bergh Fran , Krall Abigail S. , Mullen Peter J. , Zhang Li , Batra Sandeep , Morton Jennifer P. , Stanger Ben Z. , Christofk Heather R. , Digman Michelle A. , Beard Daniel A. , Viale Andrea , Zhang Ji , Crawford Howard C. , Pasca di Magliano Marina , Jorgensen Claus , Lyssiotis Costas A. 
Published: November 2022

AbstractThe pancreatic tumor microenvironment drives deregulated nutrient availability. Accordingly, pancreatic cancer cells require metabolic adaptations to survive and proliferate. Pancreatic cancer subtypes have been characterized by transcriptional and functional differences, with subtypes reported to exist within the same tumor. However, it remains unclear if this diversity extends to metabolic programming. Here, using metabolomic profiling and functional interrogation of metabolic dependencies, we identify two distinct metabolic subclasses among neoplastic populations within individual human and mouse tumors. Furthermore, these populations are poised for metabolic cross-talk, and in examining this, we find an unexpected role for asparagine supporting proliferation during limited respiration. Constitutive GCN2 activation permits ATF4 signaling in one subtype, driving excess asparagine production. Asparagine release provides resistance during impaired respiration, enabling symbiosis. Functionally, availability of exogenous asparagine during limited respiration indirectly supports maintenance of aspartate pools, a rate-limiting biosynthetic precursor. Conversely, depletion of extracellular asparagine with PEG–asparaginase sensitizes tumors to mitochondrial targeting with phenformin.
Native American Caregiver–Child Shared Book Reading Interactions: A Descriptive Study and Integrative Review
Authors: Guiberson Mark , Ferris Kyliah Petrita 
Published: November 2022

Purpose:
This study included two parts: a descriptive study followed by an integrative review. The purpose of the study was to converge finding from the descriptive study and summarize relevant findings from existent literature to identify potential culturally responsive early language and literacy intervention strategies for Native American caregivers and their children.

Method:

This study included a nonexperimental descriptive design and integrative review. The descriptive study analyzed the language behaviors and shared book interactions of Native American caregivers with their young children (
N =
21) and included results from a caregiver teaching questionnaire. The integrative review evaluated relevant literature and identified strategies that were described in these sources. These findings were combined with the descriptive study findings to identify promising culturally consistent language and literacy strategies.

Results:
Caregivers' shared book behaviors were associated with caregivers' vocabulary usage and children's shared book behaviors. Caregivers reported a number of language and teaching strategies they frequently employed; this information was integrated with other sources to identify promising approaches. A total of 20 potential strategies were identified.

Conclusions:
The purpose of this study was to describe potential early language and literacy strategies for Native American families. It would be impossible to develop early language interventions to meet the needs of all Native American families and children; thus, this study is a preliminary step in identifying strategies that may be culturally responsive for some families. The integrative review supported the use of shared book reading with young Native American children. Promising language and early literacy strategies included play-based strategies, teaching new words, questioning strategies, using descriptive language, and other language and interaction enhancements. The effectiveness of these strategies should be further evaluated in future research or treatment studies.
Analysis on the angular jamming effects of electronically controlled corner reflectors towing after a maneuver aircraft
Authors: Gan Lin , Wu Zehao , Wang Xuesong , Li Jianbing 
Published: November 2022

AbstractIn this letter, the angular jamming effect of electronically controlled corner reflectors after a maneuver aircraft is analyzed. Motion characteristics of the corner reflectors towed by a high‐speed aircraft are calculated through the Lagrange theory, and the angle measurement error of the jamming method for the monopulse angle measurement algorithm is analyzed based on the motion states and the electromagnetic states (scattering or penetration) of the corner reflectors. Results show that the automatic tracking process of a monopulse radar seeker can be effectively interfered by this method under complex maneuver motion.
Measurement and analysis of impulse grounding impedance of tower grounding device subjected to artificial lightning M‐component
Authors: Zhang Yi , Cai Hansheng , Qi Ruihan , Hu Taishan , Jia Lei , Liu Gang , Wu Yongcong , Hu Shangmao 
Published: November 2022

AbstractThe impulse grounding impedance of tower grounding device is one of the important factors in the lightning protection evaluation of transmission line. The impulse characteristic test of the actual tower grounding device under lightning was rarely carried out due to the limitation of the test conditions. With the help of Guangzhou Field Experiment Site for Lightning Research and Testing, the artificial lightning characteristic test of the true tower grounding device was carried out. This paper presented partial observation experimental results and related analysis of the impulse grounding impedance of tower grounding device subjected to artificial lightning M‐component. A calculation model of the tower grounding device subjected to lightning M‐component was established. The changes of the surface soil resistivity under the action of rainwater were taken into account in the calculation. The test data and calculation results of the tower grounding device under the impact of the artificial lightning M‐component had achieved good agreement. The non‐linear ionization of the soil around the tower grounding device can be ignored, and the real impulse grounding impedance was very close to the DC grounding resistance or power frequency grounding impedance, when the tower grounding device in the experiment was subjected to lightning current M‐component.
Effects of volume and surface conductivity on the surface charge and electric field characteristics of the tri‐post insulator in SF6‐filled ± 500 kV DC‐GIL
Authors: Li Xiaolong , Zhang Guangkuo , Cao Chen , Shi Yan , Li Jie , Chang Wenzhi 
Published: November 2022

AbstractHerein, the surface charge characteristics of a tri‐post insulator in a ± 500 kV direct current gas‐insulated transmission lines (DC‐GIL) filled with SF6 are thoroughly studied. The influences of volume and surface conductivity of the insulator on the surface charge and consequent electric field distribution are discussed. An improved method is introduced to obtain the distribution of surface charge with considerable accuracy and efficiency for the calculation. It is found that with increasing the volume conductivity, the dominative conduction mechanism changes from surface conduction to bulk conduction, while the inverse variation appears with increasing the surface conductivity. During the variation of electric conductivity, obvious effect of surface charge accumulation is found on the electric field distribution involving the variation of peak electric field strength and its location. Besides, high charge density usually appears along with low peak field strength during this variation. It can be concluded that the surface charge accumulation should be paid special attention when analysing the insulation characteristics of tri‐post insulators. The variation of volume and surface electric conductivity should be thoroughly considered.
Recent approach of wild horse optimizer for identifying the optimal parameters of high efficiency triple‐junction solar system
Authors: Fathy Ahmed , Rezk Hegazy , Yousri Dalia , Alhelou Hassan Haes 
Published: November 2022

AbstractThis paper proposes a new methodology incorporated recent metaheuristic approach named wild horse optimizer (WHO) to construct the equivalent circuit of triple‐junction solar (TJS) panel. The proposed WHO is employed to identify the optimal parameters of the constructed circuit with the aid of experimental data, the target is minimizing the integral time absolute error (ITAE) between the measured and estimated currents. Two systems are analyzed, the first one is TJS panel operated at different irradiances while the second one is array comprising three panels connected in series, three shade patterns are investigated on the array. The proposed WHO is compared to other approaches of enhanced moth search algorithm (EMSA), sparrow search algorithm (SSA), dingo optimization algorithm (DOA), equilibrium optimizer (EO), chimp optimizer (CO), manta‐ray foraging optimizer (MRFO), and Harris Hawks optimizer (HHO). Moreover, statistical tests of Wilcoxon sign rank, Friedman, multiple comparison test, and ANOVA table are performed. Furthermore, root mean square error (RMSE), relative error (RE), and approach efficiency are calculated. The proposed WHO succeeded in extracting maximum power (MP) of 570.7943 W from the constructed model operated at normal conditions with an efficiency of 99.93%. During operation at shadow, the proposed approach outperformed the others achieving the best fitness values of 0.0049, 0.0125, and 0.064471 A for all studied shade patterns. The results confirmed the robustness and competence of the proposed WHO in constructing reliable equivalent circuit of the TJS panel.
Essential collective dynamics analysis reveals nonlocal interactions of alpha-synuclein38-95 monomers with fibrillar seeds
Authors: Wu Min , Wille Holger , Stepanova Maria 
Published: November 2022

Alpha-synuclein (α-syn) is a cytoplasmic protein commonly found in the nervous system. In solution, α-syn adopts disordered unfolded conformations, although it can also form α-helices upon binding to lipid membranes. Under conditions that are not yet fully understood, α-syn can misfold and aggregate, giving rise to β-sheet rich amyloid fibrils, which then tend to accumulate in degenerating neurons. This leads to Parkinson’s disease (PD) and several other conditions collectively termed synucleinopathies. Development of disease-modifying treatments requires detailed understanding of structure and dynamics of α-syn’s misfolded aggregates. We have employed 1000 ns long, all-atom molecular dynamics simulations to investigate the interaction of monomeric α-syn38-95 fragments, which contain the most important amyloidogenic regions, with preformed fibrillar seeds composed of staggered, β-sheet rich α-syn chains of matching length. The simulations indicate that α-syn38-95 monomers tend to form aggregates with the fibrillar seeds, although we have not observed alignment of the monomeric chains with β-strands of the fibril. To analyze the stability of these aggregates, we have employed the essential collective dynamics method, which allows making accurate assessment of dynamical coupling across individual atoms in macromolecules and supramolecular complexes. The analysis revealed extensive dynamical coupling across initially monomeric α-syn chains and the fibrillar seeds including distal regions thereof that did not contact the monomer directly. We have discussed structural origins of these long-range interactions, their impacts for the stability of α-syn aggregates, and potential implications for the development of anti-PD treatments.
Effects of changes in spacing on dual-script sign
legibility
Authors: Zhang Yuchan , Moys Jeanne-Louise 
Published: November 2022

Abstract
This study examined changes to typographic variables in
Chinese-English traffic signs. Particularly, it considered the effect of
connecting spacing – the vertical distance between a Chinese legend and its
English translation – on reading performance for participants who read English
but not Chinese. Participants were shown driving video simulations, featuring
four connecting space measures (1/6H, 1/3H, 1/2H, 3/4H where H is the height of
one Chinese character) and asked to indicate directions. A threshold method with
an accuracy check was applied. The study demonstrated that connecting spacing
affected participants’ reading performance and is an important consideration for
dual-script sign legibility.
Social Equity and Airbnb: A Response to Litigation Pressures
Authors: Slocum Susan L. 
Published: November 2022

Abstract
This case presents the challenges facing organizations within the sharing economy as they struggle to become more socially inclusive. After describing corporate social responsibility (CSR), specifically social equity, a case study of Airbnb is provided. Using Caroll’s (1991) pyramid of CSR adoption, it is argued that Airbnb remains in-between the economic and legal responsibility platforms, where the CSR initiatives are driven by increased competition in the accommodation sector and legal sanctions placed on the company through discrimination lawsuits.
Application of Fourier-Bessel expansion and LSTM on multi-lead ECG for cardiac abnormalities identification
Authors: Sawant Nidhi Kalidas , Patidar Shivnarayan 
Published: November 2022

Abstract

Objective. The availability of online electrocardiogram (ECG) repositories can aid researchers in developing automated cardiac abnormality diagnostic systems. Using such ECG repositories, this study aims to develop an algorithm that can assist physicians in diagnosing cardiac abnormalities. Approach. The PhysioNet/CinC 2021 Challenge has opened the venues for creating benchmark algorithms using standard and relatively diverse 12-lead ECG datasets. This work attempts to create a new machine learning approach for identifying common cardiac abnormalities using an ensemble-based classification with two models resulting from two different feature sets. The first feature set extracts RR variability based information by deploying Fourier-Bessel (FB) expansion. The second feature set is composed of time- and frequency-domains-based hand-crafted features. Two long short-term memory (LSTM)-based classifiers are trained using these two feature sets as input to categorize ECG signals. Predictions from these two models are fused to arrive at a final medical decision that improves the multi-label classification of the given ECG signals into twenty-six categories. Main results. We participated in the George B. Moody Physionet Challenge 2021 as team ’Medics’, and the proposed methodology was evaluated for all five lead combinations. The challenge scoring metrics obtained on the test data for twelve-, six-, four-, three-, and two-leads combinations are 0.360, 0.368, 0.376, 0.323, and 0.381, respectively. The proposed methodology was ranked 11th among all the follow-up entries of the Challenge. Significance. The obtained results of the proposed method justify the use of an ensemble classifier developed using the extracted feature sets for devising a diagnostic system for detecting and identifying common cardiac problems.
Advancing descriptor search in materials science: feature engineering and selection strategies
Authors: Hoock Benedikt , Rigamonti Santiago , Draxl Claudia 
Published: November 2022

AbstractA main goal of data-driven materials research is to find optimal low-dimensional descriptors, allowing us to predict a physical property, and to interpret them in a human-understandable way. In this work, we advance methods to identify descriptors out of a large pool of candidate features by means of compressed sensing. To this extent, we develop schemes for engineering appropriate candidate features that are based on simple basic properties of building blocks that constitute the materials and that are able to represent a multi-component system by scalar numbers. Cross-validation based feature-selection methods are developed for identifying the most relevant features, thereby focusing on high generalizability. We apply our approaches to anab initiodataset of ternary group-IV compounds to obtain a set of descriptors for predicting lattice constants and energies of mixing. In particular, we introduce simple complexity measures in terms of involved algebraic operations as well as the amount of utilized basic properties.
Coherent Time-domain Canceling of Interference for Radio Astronomy
Authors: Ellingson S. W. , Buehrer R. M. 
Published: November 2022

Abstract
Radio astronomy is vulnerable to interference from a variety of anthropogenic sources. Among the many strategies for mitigation of this interference is coherent time-domain canceling (CTC), which ideally allows one to “look through” interference, as opposed to avoiding the interference or deleting the afflicted data. However, CTC is difficult to implement, not well understood, and at present this strategy is not in regular use at any major radio telescope. This paper presents a review of CTC including a new comprehensive study of the capabilities and limitations of CTC using metrics relevant to radio astronomy, including fraction of interference power removed and increase in noise. This work is motivated by the emergence of a new generation of communications systems which pose a significantly increased threat to radio astronomy and which may overwhelm mitigation methods now in place.
Navigating sustainability and health trade-offs in global seafood systems
Authors: Robinson James P W , Garrett Angus , Paredes Esclapez Juan Carlos , Maire Eva , Parker Robert W R , Graham Nicholas A J 
Published: November 2022

Abstract
Seafood is expected to play a key role in improving access to healthy diets while providing food products with relatively low rates of greenhouse gas emissions. However, both nutrients and carbon footprints vary among species and production methods, and seafood consumption is further influenced by price and consumer preference, such that it is unclear which species are best placed to provide low-emissions nutritious seafood. Here, we use seafood production data to assess the nutritional value, carbon emissions, sustainability, affordability, and availability of seafood available to UK consumers. Globally, most seafood products are more nutritious and emit lower greenhouse gases than terrestrial animal-source foods, particularly small pelagic fishes and bivalves that contributed to recommended intakes for 3–4 essential dietary nutrients at the lowest emissions. For seafood products relevant to UK markets and consumers, Atlantic mackerel had the highest availability (i.e. landings) of all wild-caught UK seafood and lowest carbon footprint of all finfish, with one fillet portion exceeding recommended intakes of three nutrients (selenium, vitamins B12 and D). We found that price and sustainability of UK seafood, both factors in consumer demand, had considerable trade-offs with nutrients, carbon footprint, and availability. Farmed salmon, for example, were produced in large volumes but were relatively more expensive than other seafood, whereas highly nutritious, low-emissions farmed mussels had limited production volumes. The UK’s seafood system is therefore not currently optimised to produce nutritious, low-emissions seafood in large amounts. Policies that promote local consumption of affordable species already produced in high volumes, such as mackerel, could improve intakes of nutrients that are deficient in the UK population at relatively low environmental cost.
Asymptotic dynamics of higher-order lumps in the Davey–Stewartson II equation
Authors: Guo Lijuan , Kevrekidis P G , He Jingsong 
Published: November 2022

Abstract
A family of higher-order rational lumps on non-zero constant background of Davey–Stewartson (DS) II equation are investigated. These solutions have multiple peaks whose heights and trajectories are approximately given by asymptotical analysis. It is found that the heights are time-dependent and for large time they approach the same constant height value of the first-order fundamental lump. The resulting trajectories are considered and it is found that the scattering angle can assume arbitrary values in the interval of

(

π
2

,
π
)

which is markedly distinct from the necessary orthogonal scattering for the higher-order lumps on zero background. Additionally, it is illustrated that the higher-order lumps containing multi-peaked n-lumps can be regarded as a nonlinear superposition of n first-order ones as

|

t

|

→
∞

.
Electrochemical characterization of hexamethylguanidinium bis(fluorosulfonyl)imide [HMG][FSI] based electrolyte and its application in sodium metal batteries
Authors: Biernacka Karolina , Sun Ju , Makhlooghiazad Faezeh , Balkis Ali , Gunathilaka Isuru E , O’Dell Luke A , Mestres Montserrat Galceran , Howlett Patrick C , Pringle Jennifer M , Forsyth Maria 
Published: November 2022

Abstract
With the increasing energy demand for both electronic portable devices and energy storage for fluctuating renewable energy sources, there is a strong need for alternatives beyond lithium batteries. Sodium batteries have been attracting great attention recently due to the abundance and low supply cost of the raw materials. However, they require highly conductive, safe and electrochemically stable electrolytes in order to enable their practical realization. In this work we present the promising physicochemical properties of the electrolyte based on hexamethylguanidinium bis(fluorosulfonyl)imide [FSI] at a sodium concentration of 25 mol% NaFSI. The liquid-state electrolyte supports stable Na plating and stripping at 1 h polarization times at 0.5 mA cm−2 current density in a Na symmetrical coin cell at 50 °C, maintaining a low polarization potential of ≈45 mV throughout 160 cycles. Moreover, this electrolyte is characterized by relatively high Na-ion transference number of 0.36 ± 0.03 at 50 °C. A long cycle life of 300 cycles with 285 mAh g−1 is achieved in a half cell set up with hard carbon. The solid-electrolyte interphase layer on the anode, which contributes to this high capacity, is investigated by x-ray photoelectron spectroscopy and solid-state nuclear magnetic resonance spectroscopy. The long-term cycling performance of Na|NaFePO4 cell is also demonstrated with a high specific capacity of 106 mAh g−1 and 80% capacity retention after 110 cycles.
Self-Regulated Learning and Knowledge Blindness: Bringing Language into View
Authors: Bowen Neil Evan Jon Anthony , Thomas Nathan 
Published: November 2022

Abstract
In the field of educational psychology, self-regulation is part of a well-established research paradigm that has been extensively applied to learning contexts. However, despite proposals highlighting its benefits, some researchers claim that its cross-pollination into applied linguistics has been slow. In their recent Applied Linguistics’ Forum article, Teng and Zhang (2022) discuss some of the reasons why this may be the case. They also further repeated calls for the importance of self-regulated learning in second/foreign language learning and teaching. In this response article, we wish to add to their proposal by focusing on the role that language plays in language learning. Specifically, to maximize the benefits of second/foreign language learning and teaching centered on regulatory training (whether it is self-, co-, or otherwise derived), then alongside the how (learning process), we need to more fully consider the what (aspect of language being learned), and how the two are, in essence, mutually constitutive and reciprocally conditioned. This entails broadening our perspective on self-regulated learning to encompass the multi-functional nature of language use.