bluuebunny/crossref_metadata_2025_split huggingface dataset:
Iron from nanostructured ferric phosphate: absorption and biodistribution in mice and bioavailability in iron deficient anemic women
Authors: Baumgartner Jeannine , Winkler Hans Christian , Zandberg Lizelle , Tuntipopipat Siriporn , Mankong Phatchari , Bester Cor , Hilty Florentine , Zeevaart Jan Rijn , Gowachirapant Sueppong , Zimmermann Michael B. 
Published: February 2022

AbstractFood fortification with iron nanoparticles (NPs) could help prevent iron deficiency anemia, but the absorption pathway and biodistribution of iron-NPs and their bioavailability in humans is unclear. Dietary non-heme iron is physiologically absorbed via the divalent metal transporter-1 (DMT1) pathway. Using radio- iron isotope labelling in mice with a partial knockdown of intestine-specific DMT1, we assessed oral absorption and tissue biodistribution of nanostructured ferric phosphate (FePO4-NP; specific surface area [SSA] 98 m2g-1) compared to to ferrous sulfate (FeSO4), the reference compound. We show that absorption of iron from FePO4-NP appears to be largely DMT1 dependent and that its biodistribution after absorption is similar to that from FeSO4, without abnormal deposition of iron in the reticuloendothelial system. Furthermore, we demonstrate high bioavailability from iron NPs in iron deficient anemic women in a randomized, cross-over study using stable-isotope labelling: absorption and subsequent erythrocyte iron utilization from two 57Fe-labeled FePO4-NP with SSAs of 98 m2g−1 and 188 m2g−1 was 2.8-fold and 5.4-fold higher than from bulk FePO4 with an SSA of 25 m2g−1 (P < 0.001) when added to a rice and vegetable meal consumed by iron deficient anemic women. The FePO4-NP 188 m2g-1 achieved 72% relative bioavailability compared to FeSO4. These data suggest FePO4-NPs may be useful for nutritional applications.
Afidopyropen, a novel insecticide originating from microbial secondary extracts
Authors: Horikoshi Ryo , Goto Kimihiko , Mitomi Masaaki , Oyama Kazuhiko , Hirose Tomoyasu , Sunazuka Toshiaki , Ōmura Satoshi 
Published: February 2022

AbstractAfidopyropen, a novel insecticide, is a derivative of pyripyropene A, which is produced by the filamentous fungus Penicillium coprobium. Afidopyropen has strong insecticidal activity against aphids and is currently used as a control agent of sucking pests worldwide. In this study, we summarized the biological properties and field efficacies of its derivatives against agricultural pests using official field trials conducted in Japan. Afidopyropen showed good residual efficacies against a variety of aphids, whiteflies and other sucking pests under field conditions. Furthermore, toxicological studies revealed its safety profiles against nontarget organisms, such as the honeybee, natural enemies and other beneficial insects, as well as mammals. Thus, afidopyropen is a next-generation agrochemical for crop protection that has a low environmental impact.
Evaluating the Modified-Shortened Token Test as a Working Memory and Language Assessment Tool
Authors: Pham Theresa , Bardell Taylor E. , Vollebregt Meghan , Kuiack Alyssa K. , Archibald Lisa M. D. 
Published: February 2022

Purpose:
Working memory and linguistic knowledge are highly intertwined in language tasks. Verbal working memory in particular has been studied as a potential constraint on language performance. This, in turn, highlights the need for a clinical assessment tool that will assist clinicians in understanding individual children's performance in relation to working memory and language. In this study, we investigated whether performance on the Token Test could capture differences in verbal working memory and linguistic knowledge given its manipulation of length and syntactic complexity.

Method:
In Experiment 1, 257 children ages 4–7 years completed our Modified-Shortened Token Test, in which they carried out commands of increasing length and complexity. Experiment 2 was an exploratory study that included a separate group of 24 kindergarten-age children who completed our Modified-Shortened Token Test as well as other memory and language measures.

Results:
The factor analysis in Experiment 1 revealed a three-factor solution with factors corresponding to verbal working memory, linguistic, and basic attention constructs. In Experiment 2, we conducted exploratory correlations between composite scores formed based on identified factors (from Experiment 1) and related measures. Recalling sentences and formulating sentences correlated with the working memory demands of the Token Test, whereas following directions and word structure correlated with Token Test linguistic factor.

Conclusions:
A modified Token Test has the potential to be used clinically to understand language performance. In particular, differential performance across sentences could reveal relative verbal working memory and linguistic knowledge abilities.

Supplemental Material:

https://doi.org/10.23641/asha.19178474
Design and app development of a virtual fretless Chinese musical instrument
Authors: Li Rongfeng , Lyu Ke 
Published: February 2022

AbstractThe article presents the design and development of a virtual fretless Chinese stringed instrument App with the Duxianqin as an example, whose performance is expected to be no different from a real instrument. The digital simulation of fretless musical instruments is mainly divided into two parts: the simulation of the continuous pitch processing of the strings, and the simulation of the sound produced by plucking strings. The article returns to the theory of mechanics and wave theory and obtains the quantitative relationship between string frequency and its deformation and elongation. The Duxianqin selected in this article is a fretless instrument, which cannot be completely simulated by relying solely on sound source data. Playing and vocalization require real‐time synthesis through pitch processing, which has certain reference significance for the realization of other fretless instruments.
Audio recognition of Chinese traditional instruments based on machine learning
Authors: Li Rongfeng , Zhang Qin 
Published: February 2022

AbstractThis paper is part of a special issue on Music Technology. We study the type recognition of traditional Chinese musical instrument audio in the common way. Using MEL spectrum characteristics as input, we train an 8‐layer convolutional neural network, and finally achieve 99.3% accuracy. After that, this paper mainly studies the performance skill recognition of Chinese traditional musical instruments. Firstly, for a single instrument, the features were extracted by using the pre‐trained ResNet model, and then the SVM algorithm was used to classify all the instruments with an accuracy of 99%. Then, in order to improve the generalization of the model, the paper proposes the performance skill recognition of the same kind of instruments. In this way, the regularity of the same playing technique of different instruments can be utilized. Finally, the recognition accuracy of the four kinds of instruments is as follows: 95.7% for blowing instruments, 82.2% for plucked‐string instruments, 88.3% for strings instruments, and 97.5% for percussion instruments. We open source the audio database of traditional Chinese musical instruments and the Python source code of the whole experiment for further research.
Multiple clues inspired banding detector in high dynamic range videos
Authors: Yuan Shuhong , Zhou Fei 
Published: February 2022

AbstractIn this paper, a method for detecting banding artefacts in high‐dynamic‐range (HDR) videos is proposed. The proposed method is the first banding detector designed for HDR videos. To effectively detect banding artefacts, a multi‐scale banding detection strategy based on multiple visual clues is proposed. Specifically, in each scale, the visually perceptual effects of banding artefacts are measured sequentially by luminance, edge strength, and edge length clues. All these clues are exploited by considering the properties of the human vision system and HDR videos. Experimental results show that our method can effectively detect banding artefacts and provide banding visibility maps that highly match the human visual perception.
A 5.5/12.5‐GHz concurrent dual‐band power amplifier MMIC in 0.25 μm GaAs technology
Authors: Xie Chunshuang , Wu Peng , Yuan Yang , Zeng Jialong , Tan Cheng , Yu Zhongjun 
Published: February 2022

AbstractA concurrent 5.5/12.5‐GHz dual‐band power amplifier (PA) is designed and implemented in a 0.25 μm GaAs pseudomorphic high electron mobility transistor process. The PA is composed of two stages and adopts LC parallel and series networks for dual‐band matching. The efficiency of the PA is improved by lowering the drain voltage of the driver stage. Measurement results show that the proposed PA features the maximum small‐signal gain of 17.1 and 15.6 dB, the maximum output power of 24.9 and 24.5 dBm, and peak power‐added efficiency (PAE) of 35.5% and 35% at 5.5 and 12.5 GHz, respectively. The PA consumes a total DC of 73 mA, and its power consumption is 503 mW. The chip size of the PA is 1.4 × 1.3 mm2 including all testing pads.
A tactical scheduling framework for wind farm‐integrated multi‐energy systems to take part in natural gas and wholesale electricity markets as a price setter
Authors: Nasiri Nima , Zeynali Saeed , Najafi Ravadanegh Sajad , Marzband Mousa 
Published: February 2022

AbstractThe wind integrated multi‐energy systems (MES) have gained significant momentum in recent years on account of their self‐sufficiency and attractive clean attributes. This study puts forward a bi‐level multi‐follower optimization framework to study the tactical response of a wind integrated MES in the wholesale electricity market (WEM) and the natural gas market (NGM) as a price setter. At the upper level, the MES endeavors to minimize the overall operational costs by giving the best offer/bid in WEM/NGM, and by utilizing thermal energy storage (TES), compressed air energy storage (CAES), and natural gas storage (NGS). When the MES submits offers/bids in WEM and NGM, the NGM and WEM operators, as individual followers, clear their respective markets to maximize public welfare and announce the ultimate market‐clearing price (MCP). Additionally, risk‐averse and risk‐seeker information gap decision theory (IGDT) have been deployed to provide various decision‐making options for MES operators considering wind underproduction and overproduction scenarios. Standard 6‐node natural gas network (NGN) and 6‐bus transmission system (TS) have been deployed to model WEM and NGM, respectively. The results testify to the capabilities of the MES in influencing the decisions of WEM and NGM.
Infrared and visible image fusion based on multi‐channel convolutional neural network
Authors: Wang Hongmei , An Wenbo , Li Lin , Li Chenkai , Zhou Daming 
Published: February 2022

AbstractFor the lack of labels in infrared and visible image fusion network, an infrared and visible image fusion model based on multi‐channel unsupervised convolutional neural network (CNN) is proposed in this paper, in order to extract more detailed information through multi‐channel inputs. In contrast to conventional unsupervised fusion network, the proposed network contains three channels for extracting infrared features, visible features and common features of infrared and visible images, respectively. The square loss function is used to train the network. Pairs of infrared and visible images are input to DenseNet to extract as more useful features as possible. A fusion module is designed to fuse the extracted features for testing. Experimental results show that the proposed method can preserve both the clear target of infrared and detailed information of visible images simultaneously. Experiments also demonstrate the superiority of the proposed method over the state‐of‐the‐art methods in objective metrics.
CurSeg: A pavement crack detector based on a deep hierarchical feature learning segmentation framework
Authors: Yuan Genji , Li Jianbo , Meng Xianglong , Li Yinong 
Published: February 2022

AbstractAutomatic crack detection is challenging due to the poor continuity of cracks, the different widths of cracks, and the low contrast between cracks and the surrounding pavement. In this paper, a deep convolutional neural network called CurSeg is proposed, which achieves pixelwise segmentation of cracks in an end‐to‐end manner. In this approach, features at different scales are fused together to attain the context information from the cracks. The elaborately designed model can effectively suppress the propagation of noise and further refine the crack features by aggregating multiscale and multilevel features from low‐level to high‐level. Residual detail attention (RDA) is also introduced to better capture the line structure and the ability to accurately locate the crack position in a complex context to make the network more discriminative and robust. CurSeg is evaluated on four datasets to validate the effectiveness of the approach. The experimental results demonstrate that this method achieves state‐of‐the‐art performance on the four challenging datasets.
CAE‐GAN: A hybrid model for vehicle trajectory prediction
Authors: Chen Long , Zhou Qiyang , Cai Yingfeng , Wang Hai , Li Yicheng 
Published: February 2022

AbstractTrajectory prediction of surrounding vehicles is a crucial capability of intelligent driving vehicles. In a scene, a vehicle and its surrounding vehicles constitute an integral system, and the vehicle's future motion trajectory is affected by the actions of surrounding vehicles. The influencing mode and degree are hidden in the relevant historical information of the vehicle and its neighbour vehicle. The existing trajectory prediction methods either do not consider the confidence of the predicted trajectory, or the accuracy requirement is ignored when considering the confidence of the predicted trajectory. In order to address this problem, a mixed Conditional AutoEncoder Generative Adversarial Network (CAE‐GAN) model based on the multi‐loss function is proposed. The proposed model uses the encoder–decoder structure with a convolutional social pool to extract general features. The generative adversarial networks (GANs) are used to extract the confidence features of the generated trajectories, which enables the proposed model to generate trajectories that are close to the real trajectories. In addition, a classifier structure based on an LSTM network is added to output the probability that the predicted trajectory belongs to a particular lateral maneuver so that the generated trajectory lateral maneuver of the model is consistent with the real trajectory lateral maneuver. The proposed model is evaluated using the publicly available NGSIM US‐101 and I‐80 datasets, and results show that the accuracy of the proposed model is higher than that of the existing methods. The proposed model achieves an average accuracy improvement of 16.34% in comparison to the most advanced existing models.
Coordinated bidding and trading strategy for wind power and thermostatic load in a novel market framework
Authors: Li Jiamei , Ai Qian , Yin Shuangrui 
Published: February 2022

AbstractThanks to the uncertainty and fluctuation of wind power, the mismatch between the supply and load is increasing. Consequently, wind power should be responsible for the imbalance caused by its volatility. Meanwhile, thermostatic load (TCL) is becoming a promising regulation capacity provider with the development of demand side technology. This paper proposes a combined energy and regulation market framework to encourage wind power to pay for the regulation market cost. And a cooperation framework is presented, in which wind power and two types of TCLs exchange energy and regulation capacity to obtain cooperation benefits. The asymmetric Nash bargaining (ANB) is applied to allocate cooperation profits among members. To ensure the autonomy of each member, a decentralized method based on ADMM is introduced. Case studies show that the proposed bidding and trading strategy can increase the profit of each member and lock more regulation capacity in day‐ahead stage, and the proposed allocation method can distribute cooperation profits fairly.
Orbital alignment of HD 332231 b
Authors: Knudstrup E. , Albrecht S. H. 
Published: February 2022

Context. Contrary to the orthodox picture of planet formation resulting in a neatly ordered Solar System, exoplanet systems exhibit highly diverse orbits: short and long periods, circular and eccentric, well- and misaligned, and even retrograde orbits. In order to understand this diversity it is essential to probe key orbital parameters. Spin-orbit alignment is such a parameter and can provide information about the formation and migration history of the system. However, tidal circularisation and alignment might hamper interpretations of orbital eccentricity and obliquities in the context of planet formation and evolution for planets on orbits shorter than about 10 days.
Aims. Here we aim to measure the projected stellar obliquity in the HD 332231system in which a warm (period ≈ 18.7 days) giant planet orbits a bright F star on a circular orbit.
Methods. We observed the system during a transit with the HARPS-N spectrograph and obtained data on the Rossiter-McLaughlin effect. We analysed the spectroscopic transit data together with new TESS photometry employing three different analysis methods.
Results. The results from the different approaches are fully consistent. We find a projected obliquity of −2 ± 6°, indicating the stellar spin axis to be well-aligned with the orbit of the planet. We furthermore find evidence for transit timing variations suggesting the presence of an additional third body in the system.
Conclusions. Together with the low orbital eccentricity, the good alignment suggests that this warm giant planet has not undergone high-eccentricity migration.
Empfehlungen zu SARS-CoV-2/COVID-19 in Schwangerschaft,
Geburt und Wochenbett – Update November 2021
(Kurzfassung)
Authors: Zöllkau Janine , Hagenbeck Carsten , Hecher Kurt , Pecks Ulrich , Schlembach Dietmar , Simon Arne , Schlösser Rolf , Schleußner Ekkehard 
Published: February 2022

ZusammenfassungSeit Beginn der SARS-CoV-2-Pandemie haben die Deutsche Gesellschaft für
Gynäkologie und Geburtshilfe und die Gesellschaft für
Peri-/Neonatalmedizin Empfehlungen zum Umgang mit SARS-CoV-2-positiven
Schwangerschaften und Neugeborenen veröffentlicht und wiederholt
aktualisiert. Als Weiterführung der bestehenden Empfehlungen werden in
dem aktuellen Update Schlüsselfragen zur prä-, peri- und
postnatalen Versorgung von Schwangeren, Gebärenden,
Wöchnerinnen, Stillenden mit SARS-CoV-2 und COVID-19 sowie deren Un-
oder Neugeborenen auf der Grundlage von Veröffentlichungen bis zum
September 2021 behandelt. Die Empfehlungen und Stellungnahmen wurden
sorgfältig aus den aktuell verfügbaren wissenschaftlichen Daten
abgeleitet und anschließend im Expertenkonsens verabschiedet. Dieser
Leitfaden – hier in der Kurzfassung vorliegend – soll eine Hilfe
für die klinische Entscheidungsfindung darstellen. Die Auslegung und
therapeutische Verantwortung obliegen weiterhin dem betreuenden medizinischen
Team vor Ort, dessen Entscheidungen durch diese Empfehlungen unterstützt
werden sollen. Aufgrund der raschen Dynamik neuer Erkenntnisse kann eine
Anpassung erforderlich sein. Die Empfehlungen werden durch die Zustimmung der
Fachgesellschaften getragen: Deutsche Gesellschaft für Perinatale
Medizin (DGPM), Deutsche Gesellschaft für Gynäkologie und
Geburtshilfe (DGGG), Deutsche Gesellschaft für Pränatal- und
Geburtsmedizin (DGPGM), Deutsche Gesellschaft für Pädiatrische
Infektiologie (DGPI), Gesellschaft für Neonatologie und
Pädiatrische Intensivmedizin (GNPI).
Dihalooxygenation of Alkynes and Alkynols: Preparation of 2,2-Dihaloketones and gem-Dihalolactols
Authors: Thongsornkleeb Charnsak , Chaisan Nattawadee , Ruengsangtongkul Sureeporn , Tummatorn Jumreang , Ruchirawat Somsak 
Published: February 2022

AbstractA mild and convenient method for the synthesis of 2,2-dihaloketones and gem-dihalolactols has been developed. For the synthesis of 2,2-dihaloketones, alkynes were employed as substrates to react with halogenating agents, Cl2 or ClBr, that were generated in situ from aqueous HCl and NCS or NBS, respectively. On the other hand, gem-dihalolactols could be prepared from alkynol substrates by using the same reaction conditions. This method could be applied to a broad range of substrates to give the corresponding products in low to good yields.
Correlação entre a gravidade da doença degenerativa lombar e o alinhamento espinopélvico
Authors: Pratali Raphael de Rezende , Battisti Raphael , Oliveira Carlos Eduardo Algaves Soares de , Maranho Daniel Augusto Carvalho , Herrero Carlos Fernando P. S. 
Published: February 2022

Resumo
Objetivo Avaliar o impacto da graduação da doença degenerativa lombar (DDL) sobre o alinhamento sagital espinopélvico.
Métodos Ao todo, 130 pacientes (dade média: 57 anos; 75% do sexo feminino) com dor lombar associada a DDL foram prospectivamente incluídos. A gravidade da DDL foi definida pelos seguintes achados nas radiografias anteroposterior e de perfil da coluna lombar: osteofitose; perda de altura do disco intervertebral; esclerose na placa vertebral terminal; número de segmentos afetados; deformidades; e instabilidade objetiva. Os pacientes foram graduados segundo a DDL da seguinte maneira: grau 0–ausência de sinais de DDL na coluna lombar; grau I – sinais de DDL em até dois segmentos; grau II – envolvimento em três ou mais segmentos; grau III – quando associada a escoliose, espondilolistese ou laterolistese. Parâmetros radiográficos espinopélvicos, como incidência pélvica (IP), lordose lombar (LL), discrepância entre a IP e a LL (IP-LL), versão pélvica (VP), e eixo vertical sagital (EVS) foram analisados de acordo com os graus de DDL.
Resultados Houve diferença nos parâmetros radiográficos comparando-se os graus de DDL, com os pacientes de grau III apresentando maiores valores de EVS (p = 0,001) e VP (p = 0,0005), o que denota maior inclinação anterior do tronco e maior retroversão pélvica do que os pacientes de graus 0 e I. Pacientes de grau III também apresentaram maiores valores de IP-LL, o que denota perda da lordose relativa ao valor da IP, do que pacientes grau I (p = 0,04).
Conclusão Pacientes com DDL mais grave demonstraram uma tendência a maior desalinhamento sagital espinopélvico comparados com pacientes com graus mais leves.