bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of the compaction process of electrical machines magnetic circuits and its detrimental effect on magnetic performances
Authors: Helbling Hugo , Van Gorp Adrien , Benabou Abdelkader , Coorevits Thierry , Tounzi Abdelmounaïm , Boughanmi Walid , Laloy Daniel
Published: November 2022

The manufacturing processes of electrical machines may lead to significant degradation of the magnetic properties of their magnetic core (stator, rotor) performances and, as a consequence, to a decrease of their energy efficiency. While the effects of some processes (cutting, welding …) are widely discussed in the literature, this is not the case with the compaction process although it is systematically used to maintain the assembly of electrical steel sheets that compose the magnetic circuits. In addition to the conventional one, a specific compaction process exists for high-power electrical machines. After an introduction, the paper firstly deals with the two studied processes (conventional, specific). Then, an experimental mock-up to study the impact of the two configurations on the magnetic properties (iron losses, normal magnetization curve) is presented. This mock-up is the first, in the literature, that allows to study the effect of a controlled compaction mechanical stress on magnetic properties. Obtained results in both configurations highlight a magneto-mechanical effect that is not reported in the literature where these effects are commonly considered following in-plane mechanical stresses. This paper presents a magneto-mechanical model, taking into account the compaction stress effect, as well as a modelling protocol to model the effect of 3D mechanical stress on magnetic properties, which has never been done in the literature.
Predictive model of spatial scale of forest fire driving factors: a case study of Yunnan Province, China
Authors: Li Wenhui , Xu Quanli , Yi Junhua , Liu Jing
Published: November 2022

Forest fires are among the major natural disasters that destroy the balance of forest ecosystems. The construction of a forest fire prediction model to investigate the driving mechanism of fire drivers on forest fires can help reveal the mechanism of forest fire occurrence and its risk, and thus contribute to the prevention and control of forest fires. However, previous studies on the mechanisms of forest fire drivers have not considered the effect of differences in spatial scale of action of forest fire drivers on the predicted effect. Therefore, the present study proposes a spatial prediction model of forest fires that considers the spatial scale effect of forest fire drivers to predict forest fire risk. First, based on historical forest fire data and geographic environmental data in the Yunnan Province, geographically weighted logistic regression (GWLR) was used to determine the forest fire drivers and to estimate the probability of forest fire occurrence at locations where fire observations are absent. Then, multi-scale geographically weighted regression (MGWR) was used to explore the spatial scales of action of different drivers on forest fires. The results show that meteorological factors such as relative humidity, air temperature, air pressure, sunshine hours, daily precipitation, wind speed, topographic factors such as elevation, slope, and aspect, anthropogenic factors such as population density and road network, as well as vegetation type, were significantly correlated with forest fires; thus, they are identified as important factors influencing occurrence of forest fires in the Yunnan Province. The MGWR model regression results show that the role of different forest fire drivers on forest fire occurrence has spatial scale differences. The spatial scale of drivers such as altitude, aspect, wind speed, temperature, slope, and distance from the road to the fire point was larger and their spatial influence was relatively stable, with spatial heterogeneity having less influence on the model evaluation results. The spatial scale of drivers such as relative humidity, sunshine, air pressure, precipitation, population density, and vegetation type were smaller, and spatial heterogeneity had a more obvious influence on the model evaluation results. This study provides a reference for selecting drivers and evaluating their spatial scale effects to construct predictive regional forest fire models.
A link between agrin signalling and Cav3.2 at the neuromuscular junction in spinal muscular atrophy
Authors: Delers Perrine , Sapaly Delphine , Salman Badih , De Waard Stephan , De Waard Michel , Lefebvre Suzie
Published: November 2022

SMN protein deficiency causes motoneuron disease spinal muscular atrophy (SMA). SMN-based therapies improve patient motor symptoms to variable degrees. An early hallmark of SMA is the perturbation of the neuromuscular junction (NMJ), a synapse between a motoneuron and muscle cell. NMJ formation depends on acetylcholine receptor (AChR) clustering triggered by agrin and its co-receptors lipoprotein receptor-related protein 4 (LRP4) and transmembrane muscle-specific kinase (MuSK) signalling pathway. We have previously shown that flunarizine improves NMJs in SMA model mice, but the mechanisms remain elusive. We show here that flunarizine promotes AChR clustering in cell-autonomous, dose- and agrin-dependent manners in C2C12 myotubes. This is associated with an increase in protein levels of LRP4, integrin-beta-1 and alpha-dystroglycan, three agrin co-receptors. Furthermore, flunarizine enhances MuSK interaction with integrin-beta-1 and phosphotyrosines. Moreover, the drug acts on the expression and splicing of Agrn and Cacna1h genes in a muscle-specific manner. We reveal that the Cacna1h encoded protein Cav3.2 closely associates in vitro with the agrin co-receptor LRP4. In vivo, it is enriched nearby NMJs during neonatal development and the drug increases this immunolabelling in SMA muscles. Thus, flunarizine modulates key players of the NMJ and identifies Cav3.2 as a new protein involved in the NMJ biology.
Prevalence and associated factors of undiagnosed hypertension among adults in the Central African Republic
Authors: Pengpid Supa , Peltzer Karl
Published: November 2022

The study aimed to estimate the prevalence and associated factors of undiagnosed hypertension (HTN) among adults in the Central African Republic (CAR). In the cross-sectional 2017 CAR (Bangui and Ombella M'Poko) STEPS survey, 3265 persons aged 25 to 64 years (non-pregnant and with complete blood pressure measurement), responded to an interview, biomedical and physical, including blood pressure, measurements. Undiagnosed HTN was classified as systolic BP ≥ 140 mmHg and/or diastolic BP ≥ 90 mmHg among adults who had never been told by a doctor or other health worker that they had raised blood pressure or hypertension and had not been taking antihypertensive medication. Binary logistic regressions are used to estimate factors associated with undiagnosed HTN. Among those with HTN (N = 1373), the proportion of undiagnosed HTN was 69.8% and 30.2% diagnosed HTN. In the adjusted logistic regression analysis, male sex (AOR: 2.12, 95% CI 1.39–3.23), current tobacco use (AOR: 1.58, 95% CI 1.03–2.42), and high physical activity (AOR: 1.93, 95% CI 1.00–3.71) were positively associated, and age (AOR: 0.75, 95% CI 0.59–0.96), and underweight (AOR: 0.58, 95% CI 0.37–0.90) were inversely associated with undiagnosed HTN. In addition, among men, ever screened for glucose (AOR: 0.07, 95% CI 0.02–0.27) was negatively associated with undiagnosed HTN, and among women, married or cohabiting (AOR: 1.20, 95% CI 1.00–1.44), current heavy drinking (AOR: 1.41, 95% CI 1.04–1.91) were positively associated with undiagnosed HTN. Seven in ten of the adult population with HTN had undiagnosed HTN in CAR. Efforts should be reinforced to screen for HTN in the general population.
Ligand-partially-protected metal-chalcogenide supertetrahedral clusters
Authors: Wu Jin , Sun Peipei , Wang Xiang , Chen Ning , Wu Tao
Published: November 2022

Ligand-partially-protected metallic chalcogenide hypertetrahedral clusters synthesized by new methods can remarkably improve the chemical stability of nanomaterials.
Practical considerations for the electrochemical denitrification of real wastewater
Authors: Li Dehui , Fu Cheng , Wang Chan , Song Qijun
Published: November 2022

The factors that influence the practical application of the electroreduction of NO3− are systematically elaborated.
Enhanced electrocoagulation process for natural organic matter removal from surface drinking water sources: coagulant dose control & organic matter characteristics
Authors: Daraei Hiua , Intwala Parth D. , Bertone Edoardo , Awad John , Stewart Rodney A. , Chow Christopher W. K. , Duan Jinming , van Leeuwen John
Published: November 2022

An optimized electrocoagulation process was investigated for enhanced removal of dissolved organic matter for eco-friendly drinking water production from surface water sources. A model-based control system was developed for electro-coagulant dosing.
Synthesis of push–pull-activated ynol ethers and their evaluation in the bioorthogonal hydroamination reaction
Authors: Kang Dahye , Wahl Conrad , Kim Justin
Published: November 2022

Di- and trifluorinated ynol ethers were synthesized. They illustrate the impact of the hyperconjugation-rehybridization effect in activating alkynes and show how substituent effects can both activate and stabilize alkynes for bioorthogonal reactions.
Conjugated electrospinning toward a dual conductive network Janus-shaped microfiber array film with enhanced green luminescence and high aeolotropic conduction
Authors: Hu Yaolin , Qi Haina , Ma Qianli , Yang Liu , Shao Hong , Sheng Yuqi , Xie Yunrui , Yu Wensheng , Li Dan , Dong Xiangting
Published: November 2022

Fluorescent anisotropic conductive Janus-shaped microfiber array film with a dual conductive network is designed and prepared by a conjugated electrospinning method.
Combining enhanced sampling and deep learning dimensionality reduction for the study of the heat shock protein B8 and its pathological mutant K141E
Authors: Montepietra Daniele , Cecconi Ciro , Brancolini Giorgia
Published: November 2022

The study provides the first 3D structural characterization of HSPB8 and its K141E mutant: extensive TREMD are combined with a deep learning algorithm to rationalize the disordered ensemble of structures adopted by each variant.
First principles prediction of electronic, mechanical, transport and optical properties of the silicane/Ga2SSe heterostructure
Authors: Pham Khang D.
Published: November 2022

In this work, we investigated the electronic structure, and mechanical, transport and optical properties of the van der Waals heterostructure formed from silicane (SiH) and Janus Ga2SSe monolayers using first-principles prediction.
MOF-derived biochar composites for enhanced high performance photocatalytic degradation of tetracycline hydrochloride
Authors: Liu Zhiwei , Li Yi , Li Chen , Thummavichai Kunyapat , Feng Chen , Li Zhen , Liu Song , Zhang Shenghua , Wang Nannan , Zhu Yanqiu
Published: November 2022

Schematic diagram of fabricating process of NSCDBC/MIL-125(Ti).
Transformation of theranostic alginate-based microbubbles from raspberry-like to core–shell-like microbubbles andin vitrostudies
Authors: Bai Meng-Yi , Chen Tsai-Hsuan , Wang Yu-Chi , Lai Yu-Ju
Published: November 2022

In this study alginate-based microbubbles with a raspberry-like or core–shell-like morphology and with an average particle size of 553.6 ± 69.6 μm were synthesized; this was done through a transformation of the structure with applying a 40 kHz ultrasonication.
Sensitivity of viscoelastic characterization in multi-harmonic atomic force microscopy
Authors: Chandrashekar Abhilash , Givois Arthur , Belardinelli Pierpaolo , Penning Casper L. , Aragón Alejandro M. , Staufer Urs , Alijani Farbod
Published: November 2022

This study discusses the sensitivity of viscoelastic characterization to multi-frequency atomic force microscopy observables.
Determination of the critical micelle concentration of surfactants using fluorescence strategies
Authors: Wu Riliga , Tian Mingce , Shu Chang , Zhou Chengcheng , Guan Weijiang
Published: November 2022

The CMC values of surfactants can be determined based on the difference in fluorescence intensity and wavelength of the probes in the solvent phase and micellar phase.
A novel n-type organic semiconductor comprising a 1,5-naphthyridine-2,6-dione unit
Authors: Kim Su-Yeon , Kim Jin Hong , Choi Min-Woo , Park Soo Young
Published: November 2022

The first examples of 1,5-naphthyridine-2,6-dione (NTD)-based n-type small molecules, NTDT-DCV and NTDP-DCV with an electron-withdrawing dicyanovinyl terminal unit and different aromatic bridging groups were synthesized and characterized.
Measuring Change During Intervention Using Norm-Referenced, Standardized Measures: A Comparison of Raw Scores, Standard Scores, Age Equivalents, and Growth Scale Values From the Preschool Language Scales–Fifth Edition
Authors: Kwok Elaine , Feiner Hannah , Grauzer Jeffrey , Kaat Aaron , Roberts Megan Y.
Published: November 2022

Purpose:

Norm-referenced, standardized measures are tools designed to characterize a child's abilities relative to their same-age peers, but they also have been used to measure changes in skills during intervention. This study compared the psychometric properties of four types of available scores from one commonly used standardized measure, the Preschool Language Scales–Fifth Edition (PLS-5), to detect changes in children's language skills during and after a language intervention.

Method:

This study included data from 110 autistic children aged 18–48 months whose mother participated in an 8-week parent-mediated language intervention. Children's language skills were measured at 3 time points using the PLS-5. Changes in children's expressive and receptive language skills were calculated using raw scores, standard scores, age equivalents, and growth scale values (GSVs).

Results:

Analysis of raw scores, age equivalents, and GSVs indicated significant improvement in the scores of autistic children in both receptive and expressive language throughout the study (i.e., during the intervention period and in the 3-month period after the intervention). Standard scores suggested improvement only in the receptive language scale during the intervention period. Standard scores showed a floor effect for children who scored at −3
SD
below the mean.

Conclusions:

Findings suggested that GSVs were not only psychometrically sound but also the most sensitive measure of direct changes in skills compared to raw, standard, and age-equivalent scores. Floor effects may limit the sensitivity of standard scores to detect changes in children's skills. Strengths, limitations, and interpretations of each of the scoring approaches in measuring changes in skills during intervention were discussed.

Supplemental Material:

https://doi.org/10.23641/asha.21498522
Bilingual Parents' Experiences Receiving Advice Regarding Language Use: A Qualitative Perspective
Authors: Blanc Camila , Castilla-Earls Anny , Bunta Ferenc , Fulcher-Rood Katrina
Published: November 2022

Purpose:

This study examined the advice parents of bilingual children received from health care professionals and teachers regarding the language(s) their bilingual children should learn and use. There were two groups of bilingual parents: parents of children who had received speech-language pathology services (BI-SLP) and parents of children who had not received speech-language pathology services (BI-TD).

Method:

Participants included 14 parents of BI-TD and 10 parents of BI-SLP. All parents were interviewed in Spanish via phone using a semistructured interview. Qualitative content analysis was used to examine common themes regarding linguistic advice received while raising their bilingual children.

Results:

Our findings suggest that about half of the parents in each group reported never receiving any language use advice. For those parents who received advice, the advice originated from both additive and subtractive views of bilingualism. Parents reported that speech-language pathologists, teachers, physicians, family members, and friends were the sources of advice. Parents of children BI-TD who received advice discouraging bilingualism ignored the advice and continued exposing their children to two languages. In contrast, parents of children BI-SLP took the advice of restricting educational instruction to English only.

Conclusion:

Although there is no current evidence supporting the notion that bilingualism is detrimental to the speech and language development of children with and without speech-language disorders, advice discouraging bilingualism still exists, even in strong bilingual contexts.
Electrical resistivity‐temperature characteristics enhancement of insulating cross‐linked polyethylene composites by incorporating positive temperature coefficient particles with different Curie temperatures
Authors: Jiang Guimin , Zhou Yuanxiang , Teng Chenyuan , Zhang Yunxiao , Huang Xin , Xue Lei , Zhou Luming
Published: November 2022

Incorporating positive temperature coefficient (PTC) ceramic particles into polymers provides a prospective alternative solution for suppressing severe electric field distortions caused by negative temperature coefficient (NTC) of electrical resistivity within polymer insulation in high voltage direct current cable. The effect of the Curie temperature of PTC particles on the inhibition of the NTC effect of cross‐linked polyethylene (XLPE) is investigated in this study. Positive temperature coefficient particles with varied Curie temperatures are surface‐modified and melt blending with XLPE. The modified particles are dispersed on averagely in the matrix. The electrical resistivity, space charge behaviour, and direct current (DC) electrical breakdown strength of the samples are investigated at different temperatures, exploring the effect of the Curie temperature of PTC particles on suppressing the NTC effect of XLPE. It is demonstrated that the reduction in Curie temperature can further suppress the NTC effect of XLPE, enhance the DC strength at elevated temperatures, and inhibit the internal space charge accumulation. The reduction in the Curie temperatures means that the initiation of the PTC effect advances, exhibiting a higher potential barrier and inhibiting the NTC effect more effectively. This work may give a reference for improving the temperature stability of DC properties for XLPE cable insulation.
The l = 2 spherical harmonic expansion coefficients of the sky brightness distribution between 0.5 and 7 MHz
Authors: Page B. , Bassett N. , Lecacheux A. , Pulupa M. , Rapetti D. , Bale S. D.
Published: November 2022

Context. The opacity of the ionosphere prevents comprehensive Earth-based surveys of low frequency ν ≲ 10 MHz astrophysical radio emissions. The limited available data in this frequency regime show a downturn in the mean sky brightness at ν ≲ 3 MHz in a divergence from the synchrotron emission power-law that is observed at higher frequencies. The turning over of the spectrum coincides with a shift in the region of maximum brightness from the Galactic plane to the poles. This implicates free-free absorption by interstellar ionized gas, whose concentration in the plane causes radiation that propagates in this region to suffer stronger absorption than radiation from the poles.

Aims. Using observations from Parker Solar Probe (PSP), we evaluate the l = 0 and l = 2 spherical harmonic expansion coefficients of the radio brightness distribution at 56 frequencies between 0.5 and 7 MHz. These data quantify free-free absorption’s global effects on the brightness distribution, which provides new constraints on the distribution of free electrons in the Galaxy.

Methods. The auto and cross spectra of the voltages induced on crossed short dipole antennas by radiation from a nonpolarized extended brightness distribution are linear combinations of the distribution’s l = 0 and l = 2 expansion coefficients. We extracted the least squares solution to these coefficients from PSP’s measurements of the radio background. Also, we generated hypothetical low frequency brightness maps that incorporated free-free absorption and tested their compatibility with the data. The maps primarily depended on models of the Galactic emissivity and distribution of free electrons. A comparison of the maps’ expansion coefficients with the empirical coefficients provided an indication of these input models’ accuracies.

Results. An average reduced x2 ≈ 1.04 of the spherical harmonic analysis between 0.5 and 7 MHz indicates that PSP’s antennas act approximately as ideal short dipoles in this frequency band. The best-fit expansion coefficients show that, with decreasing frequency, the mean sky brightness decreases at ν < 3 MHz and the Galactic plane darkens relative to the poles. At ν > 0.6 MHz, these observations can be reproduced in synthetic brightness maps in which the Galactic emissivity maintains a power-law form and free-free absorption is modeled using free electron distributions derived from pulsar measurements. At lower frequencies, the empirical mean brightness falls below the mean in this model, possibly signifying a cutoff in the synchrotron power-law.
DKG-Umfrage: Priorität bei Erreichbarkeit und Personalausstattung
Authors: Hollmig Luisa-Maria
Published: November 2022

Die Erreichbarkeit zum Krankenhaus ist laut einer Umfrage der Deutschen Krankenhausgesellschaft (DKG) eine zentrale Größe für die Patienten. Großer Handlungsbedarf wird im Bereich der Personalausstattung gesehen
Entscheider-Blog: Gas und Personal durch Klinikreduzierung effizienter nutzen
Authors: Köbe Philipp
Published: November 2022

Droht im kommenden Winter ein Zusammenbruch der Gesundheitsversorgung in Krankenhäusern? Die Krankenhausgesellschaft Mecklenburg-Vorpommern sieht die Patientenversorgung ab dem ersten Quartal 2023 aufgrund der massiv gestiegenen Energiepreise als gefährdet an. Drohende Insolvenzen könnten die Kliniklandschaft und damit die Versorgungsdichte ausdünnen. Das Land Niedersachsen kündigte bereits an, dass die Kliniken mit Mitteln aus einem Nachtragshaushalt entlastet werden sollen. Immerhin sind niedersächsische Krankenhäuser in 90 Prozent der Fälle vom Gas abhängig.
Rechtskolumne: Neue Regeln für die Bewertung klinischer Technologien
Authors: Rybak Christian
Published: November 2022

Die HTA-Verordnung (EU-Verordnung 2021/2202 über die Bewertung von Gesundheitstechnologien), die Anfang 2022 in Kraft getreten und ab 2025 anwendbar ist, wird auch Einfluss auf die stationäre Versorgung haben.
Cloud-Nutzung im Gesundheitswesen: Gericht macht den Weg frei
Authors: Greschke Maximilian , Camphausen Martin
Published: November 2022

Krankenhäuser dürfen ihre Daten unter bestimmten Voraussetzungen in der Cloud speichern. Ein Rechtsstreit um ein Vergabeverfahren für den Einsatz einer cloudbasierten Software für das Entlassmanagement hat für Klarheit im Umgang mit US-amerikanischen Cloudanbietern gesorgt.
Künstliche Intelligenz: Wenn der virtuelle Kollege Alarm schlägt
Authors: Doelfs Guntram
Published: November 2022

Forschung und Erprobung von künstlicher Intelligenz im klinischen Alltag ist bislang eine Domäne von Unikliniken. Doch längst steigen auch andere Häuser verstärkt in KI ein. Das Unfallkrankenhaus Berlin kooperiert seit 2021 erfolgreich mit dem israelischen KI-Anbieter Aidoc und entwickelt gemeinsam mit Philipps neue KI-Anwendungen.
Geräteverwaltung: Modernes Management der Medizintechnik
Authors: Reisinger Kathrin
Published: November 2022

Die Verwaltung medizinischer Geräte, ist für Kliniken und OP-Zentren mit erheblichem Arbeitsaufwand verbunden. Das Führen der Gerätebücher ist bisher sehr zeitaufwendig und personalintensiv oder erfordert komplexe IT-Lösungen. Aus dem Hause Sana kommt nun eine einfach zu bedienende Plattform-Alternative.
Vorbild Dänemark: Patienten im Fokus der Digitalisierung
Authors: Butz Carolin
Published: November 2022

Dänemark gilt als Pionier bei der digitalen Transformation. Davon profitieren vor allem die Patienten, doch auch die Mitarbeitenden unterschiedlicher Berufsgruppen im Krankenhaus arbeiten dadurch mehr zusammen.
Formation of tubular conduction channel in a SiGe(P)/Si core/shell nanowire heterostructure
Authors: Wang Xuejing , Lin Yung-Chen , Tai Chia-Tse , Lee Seok Woo , Lu Tzu-Ming , Shin Sun Hae Ra , Addamane Sadhvikas J. , Sheehan Chris , Li Jiun-Yun , Kim Yerim , Yoo Jinkyoung
Published: November 2022

Realizing a tubular conduction channel within a one-dimensional core–shell nanowire (NW) enables better understanding of quantum phenomena and exploration of electronic device applications. Herein, we report the growth of a SiGe(P)/Si core/shell NW heterostructure using a chemical vapor deposition coupled with vapor–liquid–solid growth mechanism. The entire NW heterostructure behaves as a p-type semiconductor, which demonstrates that the high-density carriers are confined within the 4 nm-thick Si shell and form a tubular conduction channel. These findings are confirmed by both calculations and the gate-dependent current–voltage (Id–Vg) characteristics. Atomic resolution microscopic analyses suggest a coherent epitaxial core/shell interface where strain is released by forming dislocations along the axial direction of the NW heterostructure. Additional surface passivation achieved via growing a SiGe(P)/Si/SiGe core/multishell NW heterostructure suggests potential strategies to enhance the tubular carrier density, which could be further modified by improving multishell crystallinity and structural design.
Acceptability and usability of ‘One Key Question’® in Australian primary health care
Authors: Fitch Jessica , Dorney Edwina , Tracy Marguerite , Black Kirsten I.
Published: November 2022

Background Around one-third of pregnancies in women attending antenatal care are unintended. This means a substantial number of women enter pregnancy without optimising their health prior to conception. Primary care practitioners are uniquely placed to counsel women about how to plan for pregnancy and about how to avoid unintended conception. The One Key Question® (OKQ®) tool facilitates a discussion of pregnancy intention and opens up subsequent discussions regarding preconception or contraception care. This study aimed to assess the acceptability and usability of the OKQ® tool in the Australian primary care setting. Methods We undertook a pilot study consisting of quantitative and qualitative components across two general practice settings in Sydney, New South Wales, Australia. We documented women’s responses to being asked the OKQ® as part of their consultation. We collected data on the characteristics of the participating GPs and their experience of using the OKQ® tool and conducted semi-structured interviews with all participating GPs. Results Fifty-six patients were asked the OKQ®, with the majority stating they were happy to be asked about their reproductive choices and felt it was relevant to their general health. The 10 participating GPs felt the OKQ® was easy to use and although 62.5% reported it extended the consultation time, the medium time taken was 2 min. GPs felt framing the OKQ® helped introduce pregnancy intention discussions into a consultation. Conclusions The OKQ® is acceptable to patients and easy for GPs to use. This tool facilitates a proactive and routine discussion to enhance the delivery of preconception care and contraceptive counselling.
Sexually transmitted infection testing among transgender and non-binary persons: results of a community-based cross-sectional survey
Authors: Lacombe-Duncan Ashley , Kattari Shanna K. , Kattari Leonardo , Scheim Ayden I. , Misiolek Brayden A.
Published: November 2022

Background Studies show higher rates of sexually transmitted infections (STIs) among transgender (trans) and non-binary (TNB) persons compared with the general population. Scant studies have examined non-HIV STI testing (henceforth referred to as STI testing); fewer inclusive of trans men and non-binary persons. We characterised the prevalence of STI testing and time since last STI test and gender-based differences in these outcomes among TNB persons. Methods Data were analysed from a 2018 community-based participatory cross-sectional survey (n = 528). Prevalence of lifetime STI testing history and time since last STI test were reported overall and compared across genders (trans men, trans women, non-binary assigned female at-birth, non-binary assigned male at-birth) using Chi-squared, then bivariable and multivariable logistic regression analyses to compare lifetime STI testing history (ever vs never) across sociodemographic and health care characteristics. Results Most (n = 425; 80.5%) participants reported having ever had an STI test; over half (59.8%) ever tested had tested within the past year. Bivariate analyses showed no significant gender differences in lifetime STI testing history (P = 0.298) or time since last STI test (P = 0.118). In a multivariable model, higher age, reporting multiple committed partners (vs single/divorced), known HIV status, and ever receiving information about pre-exposure prophylaxis (PrEP) were positively associated with ever having had an STI test, whereas Latinx race/ethnicity (vs white) was negatively associated. Conclusions Findings showed high rates of lifetime STI testing and recent testing, with no gender-based differences. Never testing rates were concerning considering screening recommendations. Broad based (non-gender specific) TNB-focused interventions may be warranted to increase uptake.
Tracing semantic change with distributional methods
Authors: Amaral Patrícia , Hu Hai , Kübler Sandra
Published: November 2022

This paper uses the tools of distributional semantics to investigate the semantic change ofalgofrom a noun meaning ‘goods, possessions’ and an indefinite pronoun ‘something’ in the Medieval/Classical period of Spanish to an indefinite pronoun and degree adverb ‘a bit’ in contemporary Spanish. We compare the results of a previous corpus-based study (Amaral 2016) on the semantic change ofalgowith an analysis using word embeddings models with two goals: (i) to show how word embeddings can help identify different synchronic values of a word, and (ii) to provide measures of change through distributional semantic methods. We discuss the challenges of a study with this methodology using limited data from older periods of a language, hence putting into focus decisions that have to be made and their implications for the analysis. In this way, we hope to contribute to a fruitful integration of more traditional studies in diachronic semantics with the methodology of word embeddings.
Effect of voltage pulse duration on electrophysical and thermal characteristics of cold atmospheric plasma jet
Authors: Schweigert I V , Zakrevsky Dm E , Gugin P P , Milakhina E V , Biryukov M M , Keidar M , Koval O A
Published: November 2022

The desirable properties of a cold atmospheric plasma jet (CAPJ) for medical applications are high efficiency of the treatment and low thermal effects. To meet these requirements, we propose to use the CAPJ generated with the positive pulsed (PP) voltage. In our experiments and fluid model simulations, it is shown that a change of the pulse duration allows us to control precisely the intensity of interaction of the plasma jet with the target and the heating of the contact zone. The helium CAPJ is formed with 13–30 kHz PP voltage frequencies with the pulse duration of 7–20 µs. The enhancement of plasma-target interaction is analyzed with the measured discharge current and calculated ionization rate near the target surface. The temperature measurements in the plasma-target active zone show that the heating by CAPJ excited with the PP voltage is generally less than in the case of AC voltage. The efficacy of treatment is tested on A549 cancer cells exposed to CAPJ ignited with the positively pulsed voltage with different pulse duration and with AC voltage.
Reducing the L-H transition power threshold in ITER-similar-shape DIII-D hydrogen plasmas
Authors: Schmitz L. , Wilcox R.S. , Shiraki D. , Rhodes T.L. , Yan Z. , McKee G.R. , Callahan K.J. , Chrystal C. , Haskey S.R. , Liu Y.Q. , Laggner F. , Zeng L. , Osborne T.H. , Grierson B.A. , Paz-Soldan C. , Leuthold N. , Lyons B.C. , Gohil P. , Petty C.C.
Published: November 2022

Recent dedicated DIII-D experiments in low-torque, ITER-similar-shape (ISS) hydrogen plasmas (at a plasma current I
p ∼ 1.5 MA and ITER-similar edge safety factor q
95 ∼ 3.6) show that the L-H transition power threshold P
LH can be reduced substantially (∼30%) with L-mode helium admixtures n
He/n
e ⩽ 25%. In the ensuing H-mode, helium ion fractions n
He/n
H remain below 25%. H-mode normalized pressure and confinement quality are only slightly affected by helium seeding, and Z
eff ⩽ 2.15 (including helium and carbon content). The plasmas investigated here are electron-heat dominated, with temperatures T
e(0)/T
i(0) ⩾ 1 and edge heat flux ratio Q
e/Q
i(ρ = 0.95) ∼ 1.2–1.5. Without mitigation, P
LH is higher by a factor of 2–3 in comparison to similar ISS deuterium plasmas. ISS hydrogen plasmas with lower plasma current I
p ∼ 1 MA (increased edge safety factor q
95 ∼ 5.1) exhibit a substantially lower power threshold. This plasma current dependence, also observed previously on ASDEX-U and in JET, is not accounted for by the commonly used 2008 ITPA multi-machine threshold scaling, but could potentially allow H-mode access at marginal heating power during the initial plasma current ramp-up. Attempts to reduce P
LH with low-field- and high-field-side hydrogen pellet injection, using 1.7 mm diameter pellets, have not demonstrated a robust threshold reduction, in contrast to successful earlier experiments with larger 2.7 mm pellets. Techniques for reducing P
LH are very important for ITER, in particular for accessing H-mode in hydrogen plasmas during the Pre-Fusion Power Operation-1 (PFPO-1) campaign with marginal auxiliary heating power (20–30 MW of ECH).
Leakage Failure Analysis of High-Pressure Superheater for Waste Heat Boiler of Gas-steam Combined Cycle Unit
Authors: Wei Shang , Xiaotao Xia , Kun Lu , Xinying Liu
Published: November 2022

Leakage failure of high-pressure superheater for waste heat boiler of gas-steam combined cycle unit was analyzed by metallographic analysis, scanning electron microscope, tensile property analysis and X-ray fluorescence spectrum. The results show that: The main cause of leakage failure of high-pressure superheater is under-deposit corrosion caused in long-term operation process. In view of the under-deposit corrosion causes of high-pressure superheater, preventive measures are put forward.
Research on three-phase photovoltaic grid-connected inverter based on fuzzy PI control
Authors: Gu Yifeng , Li Hao , Zhao Jiale , Ma Xiaolin
Published: November 2022

With the vigorous development of photovoltaic industry, the research on three-phase photovoltaic grid-connected inverter is deepening. For the problem, in this article, a combination of fuzzy control methods and traditional PI control is proposed to improve the adaptive capability of the system by constructing a composite fuzzy PI control pattern. At the same time, The LCL-type three-phase grid-connected inverter is simultaneously studied and the fuzzy PI control is validated through demonstration experiments. It is shown that the fuzzy PI control method is somewhat feasible in this system.
Power load modeling of new energy electric heating
Authors: Jia Hao , Sun Yunlong
Published: November 2022

the characteristics, advantages and disadvantages of four electric heat sources, as well as the characteristics, advantages and disadvantages of centralized electric heating and decentralized electric heating are compared and analyzed. Combined with the structure and working principle of the central heating electric boiler, the thermal efficiency and heat network loss of the electric boiler are analyzed, and the mathematical model of the total load of central heating is established. Finally, the model is used to budget the heating load.
Design Method of DC Bus Capacitor for Two-Stage AC/DC Converter
Authors: Zhang Kaibi , Wu Peng , Xiong Fei
Published: November 2022

In the single-phase two-stage AC/DC converter system, the inherent power fluctuation of double frequency will lead to the double frequency fluctuation of DC bus voltage, which will affect the stable operation of the converter. In addition, this fluctuation will also raise the current stress of the double active bridge. This makes it more difficult to design DC bus capacitance parameters. In this paper, a design method of DC bus capacitors based on high ripple operation is proposed, and the theoretical limit of DC bus voltage ripple is analyzed. On the premise of considering stable operation and current stress of converter, the capacitance of DC bus is reduced to improve the power density of the system. The design of capacitance parameters has a theoretical basis to follow. Finally, the correctness and effectiveness of the method are verified by examples.
Photovoltaic power station operation and maintenance data collection and analysis
Authors: Yu Yang , Gao Bingwen , Lu Chao , Li Xi , Bu Wen
Published: November 2022

Photovoltaic power station, as an emerging energy source, has been widely concerned by the industry at home and abroad, and has become a hot topic. It is also a task that cannot be ignored in the development of renewable energy at present. For photovoltaic power station, it has the advantages of simple and convenient power generation process, no need to use mechanical rotating parts, short construction cycle, simple operation and maintenance, unattended, convenient installation and expansion, and low maintenance cost, and has a good prospect of technology development. In order to promote the development of photovoltaic power station, this paper discusses the current basic situation of photovoltaic power station, and collects and analyzes its operation and maintenance data. The results show that the power generation during the operation and maintenance of the photovoltaic power station studied exceeds the theoretical level, confirming the feasibility of the photovoltaic power station operation and maintenance.
Noise Suppression of Towed Line Array Sonar Platform Based on Spatial Filtering Technique
Authors: Yang Meijiao , Han Dong , Li Ning
Published: November 2022

The problem of interference caused by the radiated noise of the towed line array sonar platform to the hydrophone line array and the formation of detection blind area in the direction of the end head of the line array is addressed. In this paper, the optimal spatial matrix filter is designed using the plane wave array manifold, the platform radiation noise copy vector, and the weighted coefficient matrix. Through iteration of the weighted coefficient matrix, the null matrix filter achieves the effect of equalizing the response of each direction of the far-field plane wave signal under the condition of zero response constraint of the platform radiation noise. The method of generalized singular value simplified decomposition is used to analyze and check the correctness of the optimal solution of the filter in theory. From the simulation results, the filter with iterative calculation is more effective in processing far-field plane waves and the signal has lower distortion.
Detection of Defects in Power Grid Inspection Images Based on Multi-scale Fusion
Authors: Wu Jia , Liu Zhenbo , Ren Qi
Published: November 2022

With the increasing application of visual application scenarios in various industries, power grid inspection system based on vision is widely used. However, the power grid intelligent inspection system has the problem of unsatisfactory accuracy of small target detection. To address this problem, this paper proposes a multi-scale fusion-based defect detection model for grid inspection images. The object features are first acquired by improving the CSPDarknet53 network using the attention mechanism. Second, the multi-scale feature fusion module is constructed to obtain more feature information. Finally, the defect detection model of the grid inspection image is constructed based on the multi-scale feature fusion module. The experimental results of our proposed algorithm are compared and analyzed with the current mainstream algorithms in all aspects. The optimal performance accuracy of our model reaches 0.927, which is improved by 6.06%.
Pose Measurement Technology of Roadheader Body based on Fusion of Visual and SINS*
Authors: Wang Lixin , Hu Chengjun , Pan Gege , Zhang Chao , Liu Bin , Wan Jicheng , Yang Hongqiang , Shi Shuo , Dong Zhen , Du Yuyang , Yang Wenjuan , Zhang Xuhui
Published: November 2022

In order to solve the problem of pose measurement of roadheader body in low illumination and high dust environment in coal mine, a pose measurement technology of roadheader body based on visual and strapdown inertial navigation system (SINS) is proposed. By extracting the point and line features and using the monocular vision positioning principle based on the gate three lines, the spatial pose of the roadheader body measured by vision is obtained according to the spatial matrix transformation. At the same time, the spatial pose of the roadheader body measured by SINS is calculated by gyroscope and accelerometer. Then the least square method is used to align the two-sensor data, and the registration data is fused based on the extended Kalman filter fusion algorithm to obtain the final fusion roadheader pose data. The experimental results show that the measurement error of the roadheader body position in the x axis direction of the roadway coordinate system is less than ± 20 mm, the error of the y axis direction is less than ±35 mm, the error of the z axis direction is less than ± 10 mm, the yaw angle error is between-0.4° to 0.7°, the roll angle error is between -0.2° and 0.6°, and the pitch angle error is between -0.02° and 0.5°. This method can be used to measure the pose of the roadheader stably and accurately in the complex environment of high dust, miscellaneous light and low illumination.
An Expression Recognition Model Based on Channel and Spatial Attention Fusion
Authors: Cao Yunyun
Published: November 2022

Expression recognition is an essential subfield in biometric recognition as well as a cutting-edge research area in computer vision. It has several uses in autonomous driving, human-computer interface, autism research, and other fields. This study offers an expression recognition model based on fusion attention that extracts expression features from the channel and spatial domains, respectively, then combines the two features. It is then trained on the FER2013 and ExpW datasets. Experiment findings suggest that the model may greatly enhance face emotion recognition accuracy.
Singular Value Decomposition (SVD) Co-training: A Semi-supervised Method for Object Detection
Authors: Fan Siyang , Wang Rui , Xu Jingwen , Wen James Zhiqing
Published: November 2022

Existing object detection algorithms based on Convolutional Neural Network (CNN) generally rely on supervised learning with a large amount of labeled samples, which is very time-consuming and laborious. To address the problem, we propose a semi-supervised learning method by using Singular Value Decomposition (SVD) co-training. Specifically, this paper uses two mutually independent features which are obtained by SVD to guide the co-training of two detectors in one CNN model, meanwhile an adaptive self-labeling strategy is used to ensure the quality of pseudo labels. To verify the efficacy of SVD co-training, we conducted experiments on GMU, AVD and self-made BHID datasets. The result shows that SVD co-training could achieve the accuracy comparable to full-supervised learning by using only 5% of labeled data.
Domain-Adaptive Pre-training BERT Model for Test and Identification Domain NER Task
Authors: Wang Bo , Huang Jianmei , Yan Ruicheng , Su Yaofeng , Mu Xiaofeng
Published: November 2022

Name entity recognition (NER) is the foundation of a wide range of natural language processing (NLP) task in the domain of test identification. In this paper, we continue to train the pre-trained BERT model by unlabeled texts related to the domain of test identification, so as to inject domain knowledge into the pre-trained BERT model and realize the domain adaptation. The experiment results show that the proposed domain-adaptive pre-training method increases the F1 value by 1% compared with the baseline in the domain of test identification NER task.
Analysis and Optimization of Planar Excitation Coil for EPS Torque Senor Based on GWO
Authors: Xie Zhengyu , Chen Xiliang , Sun Yiwen
Published: November 2022

Planar coil is usually used as a basic element in various research fields. This paper models a sensor equivalent circuit by taking the planar spiral excitation coil as an optimization object according to the electromagnetic coupling principle. The influence of coil electrical parameters on the coupling efficiency is analysed. The present result shows that the excitation coil should be small size, large inductance and high-quality factor. A two-dimensional planar spiral coil is modelled using ANSYS Maxwell software. The coil structure parameters with significant influence on the coil quality factor are chosen by the single factor experiment. The two-factor, five-level central composite deign principle is selected to establish a multivariate quadratic model by Response Surface Methodology (RSM). Then the paper implemented Grey Wolf Optimizer (GWO) to optimize response surface model, and obtained the optimal coil structure parameters. The conclusion was drawn that the inductance and quality factor of the optimized coil increase from 27.031 μH and 161.293 to 43.171 μH and 175.537, respectively. Compared to the control coil, the inductance is 1.597 times as the original coil and the quality factor is increased by 8.8%.
Recognition of Power Quality Disturbance Based on RCNN
Authors: Fan Rui , Li Huipeng , Xiao Heju , Wang Hong , Qi Linhai
Published: November 2022

With the development of the smart grid, the problem of power quality disturbance is becoming more and more serious. To improve the classification ability of power quality disturbance signals, this paper designs a recurrent convolutional neural network model to realize the classification and identification of power quality disturbance signals. The model first uses the bidirectional long short-term memory neural network module to encode the disturbance signal. Then it uses the convolutional layer to perform spatial feature extraction and enforces the disturbance classification through the fully connected layer. The model is verified and analyzed by simulation data, which shows that the model has both good generalization ability and higher accuracy.
A Novel Privacy-Preserving Computing System Based on VAE Federated Meta-Learning
Authors: Zheng Wei , Yang Shaojie , Zhang Xueyang
Published: November 2022

In recent years, the release of data value under privacy-preserving has always been the research focus. As an essential data protection technology, encrypted computing provides a good solution. Based on this, a federated learning model is first constructed to meet the needs of participants using local data for joint modeling. Secondly, the meta-learning method accelerates the federated learning model’s training effect and improves the accuracy of model detection. Finally, the variational auto-encoder is used to optimize the federated learning model, which speeds up the training of the federated learning model and improves the system’s overall security. Experimental results show that the proposed system can provide secure computing conditions for each data provider and better performance.