bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of low health and cancer literacy in oncology patients: a cross-sectional survey
Authors: Hyatt Amelia , Drosdowsky Allison , Koproski Trista , Milne Donna , Rametta Meri , McDonald Geri , McKenzie Tanya , Blaschke Sarah-May 
Published: May 2021

AbstractObjectiveHealth literacy is a significant public health concern, particularly given the increased complexity of chronic disease health management and health system navigation, and documented associations between low health literacy and poor health outcomes. This study therefore aimed to identify the proportion and characteristics of outpatients visiting a specialist cancer hospital who report low health literacy and/or low cancer health literacy.MethodThis study used a cross-sectional survey administered verbally with patients attending a specialist cancer hospital located in Melbourne, Australia over a two-week period. Process data on conducting health literacy screening within a clinical setting was collected.ResultsThose identified with inadequate general health literacy were different to those identified with low cancer-specific health literacy, although overall both proportions were low. Cross-sectional screening of patients was difficult, despite utilising verbal surveying methods designed to increase capacity for participation.ConclusionHealth literacy screening using the tools selected was not useful for identifying or describing patients with low health literacy in this setting, given the disparity in those categorised by each measure.Practice ImplicationsUntil the theoretical construct of health literacy is better defined, measurement of health literacy may not be clinically useful.
Solid-phase synthesis of d-fructose-derived Heyns peptides utilizing Nα-Fmoc-Lysin[Nε-(2-deoxy-d-glucos-2-yl),Nε-Boc]-OH as building block
Authors: Schmutzler Sebastian , Knappe Daniel , Marx Andreas , Hoffmann Ralf 
Published: May 2021

AbstractAldoses and ketoses can glycate proteins yielding isomeric Amadori and Heyns products, respectively. Evidently, d-fructose is more involved in glycoxidation than d-glucose favoring the formation of advanced glycation endproducts (AGEs). While Amadori products and glucation have been studied extensively, the in vivo effects of fructation are largely unknown. The characterization of isomeric Amadori and Heyns peptides requires sufficient quantities of pure peptides. Thus, the glycated building block Nα-Fmoc-Lys[Nε-(2-deoxy-d-glucos-2-yl),Nε-Boc]-OH (Fmoc-Lys(Glc,Boc)-OH), which was synthesized in two steps starting from unprotected d-fructose and Fmoc-l-lysine hydrochloride, was site-specifically incorporated during solid-phase peptide synthesis. The building block allowed the synthesis of a peptide identified in tryptic digests of human serum albumin containing the reported glycation site at Lys233. The structure of the glycated amino acid derivatives and the peptide was confirmed by mass spectrometry and NMR spectroscopy. Importantly, the unprotected sugar moiety showed neither notable epimerization nor undesired side reactions during peptide elongation, allowing the incorporation of epimerically pure glucosyllysine. Upon acidic treatment, the building block as well as the resin-bound peptide formed one major byproduct due to incomplete Boc-deprotection, which was well separated by reversed-phase chromatography. Expectedly, the tandem mass spectra of the fructated amino acid and peptide were dominated by signals indicating neutral losses of 18, 36, 54, 84 and 96 m/z-units generating pyrylium and furylium ions.
Aurora Observations from the Principality of Transylvania from the 16th to the 18th Century CE
Authors: Stangl Martin , Foelsche Ulrich 
Published: May 2021

AbstractWe focused on the period from about 1500 CE to 1800 CE and present a compilation of 78 different auroral sightings for the period from the geographical area of the former Principality of Transylvania, then part of the Kingdom of Hungary, and we give source quotations in English translation. Of the 78 potential aurorae, 23 are missing from the catalog of Rethly and Berkes (1963) and are introduced here for the first time into the scientific discourse on past solar activity. The region of Transylvania located around 46° northern latitude is a good geographical indicator for an auroral oval extending unusually far towards the Equator. The reports of seven celestial phenomena from Transylvania during the period of the Maunder minimum (1645 – 1715), which are considered genuine northern lights at a medium to very high probability level, suggest that even during this time of greatly reduced solar activity, aurorae penetrated down to near 45° latitude. Three of these potential aurorae, however, fall within the 18th century, when the Sun was already recovering from the deep minimum phase. Comparing the distribution of potential auroral sightings in Transylvania from the 16th to the 18th century clearly shows, in comparison with other aurora catalogs and with reconstructed solar activity, that high selectivity due to the historical-source situation (incomplete chronicles, lost reports, and lack of scientific interest on the part of chroniclers) makes statements about actual long-term distributions almost impossible. Furthermore, the catalog of Rethly and Berkes is shown to be rather incomplete and to contain several doubtful entries.
Mechanisms and Mediators of Pain in Chronic Inflammatory Arthritis
Authors: Di Carlo Marco , Smerilli Gianluca , Salaffi Fausto 
Published: May 2021

AbstractPurpose of the reviewPain in chronic inflammatory joint diseases is a common symptom reported by patients. Pain becomes of absolute clinical relevance especially when it becomes chronic, i.e., when it persists beyond normal healing times. As an operational definition, pain is defined chronic when it lasts for more than 3 months. This article aims to provide a review of the main mechanisms underlying pain in patients with chronic inflammatory joint diseases, discussing in particular their overlap.Recent findingsWhile it may be intuitive how synovial inflammation or enthesitis are responsible for nociceptive pain, in clinical practice, it is common to find patients who continue to complain of symptoms despite optimal control of inflammation. In this kind of patients at the genesis of pain, there may be neuropathic or nociplastic mechanisms.SummaryIn the context of chronic inflammatory joint diseases, multiple mechanisms generally coexist behind chronic pain. It is the rheumatologist’s task to identify the mechanisms of pain that go beyond the nociceptive mechanisms, to adopt appropriate therapeutic strategies, including avoiding overtreatment of patients with immunosuppressive drugs. In this sense, future research will have to be oriented to search for biomarkers of non-inflammatory pain in patients with chronic inflammatory joint diseases.
Modeling illegal logging in Brazil
Authors: Chen Bohan , Peng Kaiyan , Parkinson Christian , Bertozzi Andrea L. , Slough Tara Lyn , Urpelainen Johannes 
Published: May 2021

AbstractDeforestation is a major threat to global environmental wellness, with illegal logging as one of the major causes. Recently, there has been increased effort to model environmental crime, with the goal of assisting law enforcement agencies in deterring these activities. We present a continuous model for illegal logging applicable to arbitrary domains. We model the practice of criminals under influence of law enforcement agencies using tools from multiobjective optimal control theory and consider non-instantaneous logging events and load-dependent travel velocity. We calibrate our model using real deforestation data from the Brazilian rainforest and demonstrate the importance of geographically targeted patrol strategies.
A 2-dimensional uncertain linguistic MABAC method for multiattribute group decision-making problems
Authors: Liu Peide , Wang Dongyang 
Published: May 2021

AbstractThe 2-dimensional uncertain linguistic variable (2DULV) can depict decision-makers’ subjective assessments on the reliability of given evaluation results, which is a valid and practical tool to express decision information. In this study, we develop an improved MABAC method with 2DULVs to handle multiattribute group decision-making (MAGDM) problems where the weight information of attributes is unknown. First, some related theories of 2DULVs and the basic procedure of the MABAC method are briefly reviewed. Then, the maximum comprehensive evaluation value method is extended to 2DULVs to obtain combination weights of attributes, in which the subjective weights are determined according to the best–worst method (BWM) and the objective weights are calculated by the maximum deviation method. Besides, the generalized weighted average operator for 2DULVs (2DULGWA) is utilized to aggregate the evaluation information given by all experts. Finally, an improved MABAC for 2DULVs (2DUL-MABAC) is proposed, and an example is carried out to explain the validity of the proposed approach.
Bottom-Up Engineering Strategies for High-Performance Thermoelectric Materials
Authors: Zhu Qiang , Wang Suxi , Wang Xizu , Suwardi Ady , Chua Ming Hui , Soo Xiang Yun Debbie , Xu Jianwei 
Published: May 2021

AbstractThe recent advancements in thermoelectric materials are largely credited to two factors, namely established physical theories and advanced materials engineering methods. The developments in the physical theories have come a long way from the “phonon glass electron crystal” paradigm to the more recent band convergence and nanostructuring, which consequently results in drastic improvement in the thermoelectric figure of merit value. On the other hand, the progresses in materials fabrication methods and processing technologies have enabled the discovery of new physical mechanisms, hence further facilitating the emergence of high-performance thermoelectric materials. In recent years, many comprehensive review articles are focused on various aspects of thermoelectrics ranging from thermoelectric materials, physical mechanisms and materials process techniques in particular with emphasis on solid state reactions. While bottom-up approaches to obtain thermoelectric materials have widely been employed in thermoelectrics, comprehensive reviews on summarizing such methods are still rare. In this review, we will outline a variety of bottom-up strategies for preparing high-performance thermoelectric materials. In addition, state-of-art, challenges and future opportunities in this domain will be commented.
Network memory in the movement of hospital patients carrying antimicrobial-resistant bacteria
Authors: Myall Ashleigh C. , Peach Robert L. , Weiße Andrea Y. , Mookerjee Siddharth , Davies Frances , Holmes Alison , Barahona Mauricio 
Published: May 2021

AbstractHospitals constitute highly interconnected systems that bring into contact an abundance of infectious pathogens and susceptible individuals, thus making infection outbreaks both common and challenging. In recent years, there has been a sharp incidence of antimicrobial-resistance amongst healthcare-associated infections, a situation now considered endemic in many countries. Here we present network-based analyses of a data set capturing the movement of patients harbouring antibiotic-resistant bacteria across three large London hospitals. We show that there are substantial memory effects in the movement of hospital patients colonised with antibiotic-resistant bacteria. Such memory effects break first-order Markovian transitive assumptions and substantially alter the conclusions from the analysis, specifically on node rankings and the evolution of diffusive processes. We capture variable length memory effects by constructing a lumped-state memory network, which we then use to identify individually import wards and overlapping communities of wards. We find these wards align closely to known hotspots of transmission and commonly followed pathways patients. Our framework provides a means to focus infection control efforts and cohort outbreaks of healthcare-associated infections.
Properties of synthetic graphite from boric acid-added pitch: performance as anode in lithium-ion batteries
Authors: Hwang Jin Ung , Ahn Won Jun , Im Ji Sun , Lee Jong Dae 
Published: May 2021

AbstractSynthetic graphite is produced by a heat treatment process using a carbon precursor (pitch, coke), but it is difficult to produce synthetic graphite of high quality due to the high-temperature process (minimum 3000 °C). Elements used as additive to lower temperature the graphitic process include boron, phosphorus, and nitrogen. Boron is known as a graphitization additive, because it accelerates the homogeneous continuous graphitization process of the entire carbon without any formation of specific carbon components such as graphite. In this study, various amounts of boron and PFO (pyrolysis fuel oil, carbon precursor) were used in an attempt to reveal the boron additive effect. Pitch was produced using a boric acid and pyrolysis fuel oil (PFO), and high-temperature carbonization was carried out at 2600 °C. As a result, synthetic graphite exhibiting high crystallinity at a relatively low temperature was produced. The electrochemical performance of several boron-doped and non-doped carbon materials with different structures as anodes in lithium-ion batteries was investigated by a structure analysis.
A novel GPU based intrusion detection system using deep autoencoder with Fruitfly optimization
Authors: Sekhar R. , Sasirekha K. , Raja P. S. , Thangavel K. 
Published: May 2021

Abstract
Intrusion Detection Systems (IDSs) have received more attention to safeguarding the vital information in a network system of an organization. Generally, the hackers are easily entering into a secured network through loopholes and smart attacks. In such situation, predicting attacks from normal packets is tedious, much challenging, time consuming and highly technical. As a result, different algorithms with varying learning and training capacity have been explored in the literature. However, the existing Intrusion Detection methods could not meet the desired performance requirements. Hence, this work proposes a new Intrusion Detection technique using Deep Autoencoder with Fruitfly Optimization. Initially, missing values in the dataset have been imputed with the Fuzzy C-Means Rough Parameter (FCMRP) algorithm which handles the imprecision in datasets with the exploit of fuzzy and rough sets while preserving crucial information. Then, robust features are extracted from Autoencoder with multiple hidden layers. Finally, the obtained features are fed to Back Propagation Neural Network (BPN) to classify the attacks. Furthermore, the neurons in the hidden layers of Deep Autoencoder are optimized with population based Fruitfly Optimization algorithm. Experiments have been conducted on NSL_KDD and UNSW-NB15 dataset. The computational results of the proposed intrusion detection system using deep autoencoder with BPN are compared with Naive Bayes, Support Vector Machine (SVM), Radial Basis Function Network (RBFN), BPN, and Autoencoder with Softmax.

Article Highlights

A hybridized model using Deep Autoencoder with Fruitfly Optimization is introduced to classify the attacks.

Missing values have been imputed with the Fuzzy C-Means Rough Parameter method.

The discriminate features are extracted using Deep Autoencoder with more hidden layers.
Nationally Representative Sample Shows an Increase in Domestic Conflict Early in the COVID-19 Pandemic
Authors: Locker Alicia R. , Finucane Melissa L. , Roth Elizabeth A. , Carman Katherine G. , Breslau Joshua 
Published: May 2021

AbstractObjective:The coronavirus disease (COVID-19) pandemic and associated social distancing increased stressors related to risk for domestic conflict, but increases in domestic conflict early in the pandemic have yet to be studied in community samples.Methods:Increase in domestic conflict (verbal or physical fights) since the beginning of the pandemic was assessed in 1196 partnered and cohabitating respondents, drawn from a nationally representative sample, in May 2020. Chi-square tests and logistic regression analyses were used to estimate associations of demographic characteristics and financial worry with domestic conflict.Results:An increase in domestic conflict was reported by 10.6% (95% CI: 7.7-13.4) of the sample. Domestic conflict increase was significantly associated with younger age, lower education, and financial worry.Conclusion:Increases in domestic conflict were seen in certain vulnerable groups and in those who report financial worry. Policies ensuring financial stability, particularly early in the disaster conditions, could reduce domestic conflict during continued COVID-19 conditions or other disasters.
Approaches for enhancing grain yield of finger millet (Eleusine coracana)
Authors: Reddy Y. A. Nanja , Gowda Jayarame , Gowda K. T. Krishne 
Published: May 2021

AbstractFinger millet is gaining importance as a food crop with the increasing emphasis on nutritional aspects and drought resilience. However, yield improvement has stagnated. Therefore, popular varieties have been examined for the purpose of whether direct selection for grain yield can be continued or an alternate trait-based approach using the germplasm is necessary. Direct selection for grain yield over the ruling variety, cv. GPU-28 (Germplasm Unit) has not been satisfactory. The path analysis has revealed a high direct effect of mean ear weight on grain yield followed by a moderate direct effect of photosynthetic rate and leaf area index. Furthermore, backward stepwise regression analysis revealed that among the independent traits, the mean ear weight made a significant contribution (60.8%) towards grain yield, followed by the photosynthetic rate (39.2%). The regression equation predicts the inclusion of mean ear weight by 1.0 g extra (as in GE-2672) to cv. GPU-28 will increase grain yield by 4.74%. The trait-specific genotypes are superior to the cv. GPU-28 were GPU-67 (photosynthetic rate) and GE-2672 (mean ear weight) and they could be used as donors for yield improvement. Future selection would aim for genotypes having 70–75 days for flowering with 4−5 productive tillers and mean ear weight of more than 8−9 g/ear. The possible approaches for enhancing grain yield are also discussed.
Stacked patch antenna with wider impedance bandwidth and high interport isolation for 2.4 GHz IBFD transceiver
Authors: Nawaz Haq , Niazi Ahmad Umar 
Published: May 2021

AbstractThis paper reports a bi-port, wideband, parasitic-fed, single/shared patch antenna with enhanced interport isolation for 2.4 GHz in-band full duplex (IBFD) applications. The employed parasitic feeding provides comparatively the wider impedance bandwidth and better gain for the presented antenna. The improved self-interference cancellation (SIC) levels across the required bandwidth are obtained through differentially-driven receive (Rx) mode operation. The differential Rx operation performs effective cancellation of in-band self-interference (SI) through signal inversion mechanism to achieve the additional isolation on the top of the intrinsic isolation of polarization diversity. The validation model for the presented antenna features ≥88 dB peak isolation between the dual-polarized Tx and Rx ports. In addition, the measured Tx–Rx isolation for prototype is >70 dB across the 10 dB return loss bandwidth of 100 MHz (2.42–2.52 GHz). The measured gain for each mode is better than 7.0 dBi. The novelty of this work is that compared to previously reported designs, the presented antenna offers wider impedance bandwidth and improved SIC levels in addition to superior gain performance. To the best of our knowledge, this is the first single/shared patch antenna which provides better than 70 dB interport isolation across the 10 dB return loss bandwidth of 100 MHz along with 7.0 dBi gain for Tx/Rx modes.
Treating Excessive Consumers With Brief Intervention to Reduce Their	Alcohol Consumption
Authors: Fankhänel Thomas , Panic Benjamin Jovan , Schwarz Marcus , Schulz Katrin , Frese Thomas 
Published: May 2021

Abstract. Background: General Practitioners’ (GP) readiness to implement screening and brief intervention to reduce alcohol consumption of excessive consumers is low. Although several barriers were identified by past research, improving these conditions has not led to improved implementation. Based on Expectancy Value Theory of Achievement Motivation we assume that low seriousness of the health problem in association with the treatment of excessive alcohol consumers may be considered as a crucial barrier too. Aims: By our study, we tested for the influence of the seriousness of the health problem on the GP’s readiness to implement brief intervention (BI) in comparison to crucial barriers such as insufficient financial reimbursement and low patient adherence. Method: In order to manipulate the seriousness of the health problem GPs were confronted with three different situations each introducing a fictitious patient with either excessive alcohol consumption, or binge drinking, or harmful alcohol consumption. Results: Questionnaires of 185 GPs were analyzed. As hypothesized GPs were less ready to treat patients with excessive consumption in comparison to patients with harmful consumption, t(184) = 5.51, p < .001, d = .40, and binge drinking, t(184) = 6.14, p < .001, d = .43. Their readiness was higher in case of high adherence, F(1, 181) = 17.35, p < .001, η2 = .09. Limitations: Recruitment of GPs was based on voluntary participation. GPs had to assess their readiness in the artificial context of case vignettes. Conclusion: GPs’ readiness to implement a BI was influenced by the seriousness of the health problem and expected patient adherence. No such effect was found for financial reimbursement.
Multi‐Spacecraft Measurement of Anisotropic Spatial Correlation Functions at Kinetic Range in the Magnetosheath Turbulence
Authors: Huang S. Y. , Xiong Q. Y. , Yuan Z. G. , Zhan H. L. , Deng X. H. , Jiang K. , Zhao P. F. , Zhang J. , Xu S. B. , Wei Y. Y. , Yu L. , Lin T. R. 
Published: May 2021

AbstractWe investigate spatial correlation functions (SCFs) at kinetic range in the terrestrial magnetosheath because of wide angular distributions of the magnetic field fluctuations and the high Signal‐to‐Noise‐Ratio. We employ four‐point measurements of magnetic fluctuations from the Cluster and MMS concerning a spatiotemporally varying background magnetic field to constitute the two‐dimensional (2‐D) SCFs between ion and electron scales. It is found that two populations exist in the 2‐D SCFs, with the minority elongated along the perpendicular coordinate (S⊥) and the majority of population elongated along the coordinate parallel to average magnetic field (S||). This kind of phenomenon indicates that the distribution of magnetosheath turbulence in the wavenumber space is dominantly transverse to the background magnetic field, simultaneously partly along the field (i.e., k⊥ >> k||). In addition, we find that magnetosheath turbulence is the dominance of shear Alfvénic‐like fluctuations, and is quasi‐monofractal intermittent turbulence at kinetic range for both the Cluster case and the MMS case, indicating that strong spatially anisotropic fluctuations may be universal in the magnetosheath. Our observations pose new challenges to the theoretical modeling of turbulence and dissipation at kinetic range in the collisionless magnetized plasma.