bluuebunny/crossref_metadata_2025 huggingface dataset:
Cross-sectional association of equol producing status with aortic calcification in Japanese men aged 40–79 years
Authors: Zhang Xiao , Fujiyoshi Akira , Kadota Aya , Kondo Keiko , Torii Sayuki , Okami Yukiko , Hisamatsu Takashi , Yano Yuichiro , Barinas-Mitchell Emma , Magnani Jared , Miura Katsuyuki , Ueshima Hirotsugu , Sekikawa Akira
Published: November 2022

Equol is an isoflavone (ISF)-derived metabolite by the gut microbiome in certain individuals termed equol-producers (EP). Equol might be the critical anti-atherogenic component of ISFs. In a population-based study of 979 Japanese men aged 40–79 without cardiovascular (CVD) or chronic kidney disease, we measured the urinary levels of equol and ISFs. Aortic calcification (AC) in the entire aorta was assessed by electron-beam or multi-detector-row computed tomography. Subjects with log10 (urinary equol to daidzein concentration) > − 1.5 were classified as EP. EP was further classified as person with low- and high-equol. We analyzed the association between equol-producing status and AC presence, defined as AC score > 0, by the logistic regressions. We found that EP (50% of the sample) had significantly lower odds of AC presence (odds ratio (OR): 0.62, 95% confidence interval (CI): 0.39, 0.98) compared to non-EP. This association was independent of CVD risk factors. For the dose–response association, compared to non-EP, subjects with low and high levels of equol had ORs of 0.51 (95% CI 0.30, 0.84) and 0.67 (95% CI 0.39, 1.14) after adjusting for major CVD risk factors (p for trend = 0.06). ISFs concentrations were not significantly associated with AC presence (OR: 1.18, 95% CI: 0.82, 1.69). In conclusion, EP had a significantly lower burden of AC than non-EP, while ISFs were not associated with AC presence in Japanese men aged 40–79 years.
Antagonist muscle torque at the ankle interfere with maximal voluntary contraction under isometric and anisometric conditions
Authors: Billot Maxime , Duclay Julien , Rigoard Philippe , David Romain , Martin Alain
Published: November 2022

While resultant maximal voluntary contraction (MVC) is commonly used to assess muscular performance, the simultaneous activation of antagonist muscles may dramatically underestimate the strength of the agonist muscles. Although quantification of antagonist torque has been performed in isometric conditions, it has yet to be determined in anisometric conditions. The aim of the study was to compare the mechanical impact of antagonist torque between eccentric, isometric and concentric contractions in PF and DF MVCs. The MVCs in dorsiflexion (DF) and plantar-flexion (PF) were measured in isometric, concentric and eccentric conditions (10° s-1) in nine healthy men (26.1 ± 2.7 years; 1.78 ± 0.05 m; 73.4 ± 6.5 kg) through two sessions. Electromyographic (EMG) activities from the soleus, gastrocnemius medialis and lateralis, and tibialis anterior muscles were simultaneously recorded. The EMG biofeedback method was used to quantify antagonist torque. Resultant torque significantly underestimated agonist torque in DF MVC (30–65%) and to a lesser extent in PF MVC (3%). Triceps surae antagonist torque was significantly modified with muscle contraction type, showing higher antagonist torque in isometric (29 Nm) than in eccentric (23 Nm, p < 0.001) and concentric (14 Nm, p < 0.001) conditions and resulting in modification of the DF MVC torque-velocity shape. Estimation of the antagonist torque in isometric or anisometric conditions provides new relevant insights to improve neuromuscular performance assessment and to better design strength training and rehabilitation programs related to the torque applied by agonist and antagonist muscles.
Preprogrammed assembly of supramolecular polymer networks via the controlled disassembly of a metastable rotaxane
Authors: Washino Gosuke , Soto Miguel A. , Wolff Siad , MacLachlan Mark J.
Published: November 2022

In our daily life, some of the most valuable commodities are preprogrammed or preassembled by a manufacturer; the end-user puts together the final product and gathers properties or function as desired. Here, we present a chemical approach to preassembled materials, namely supramolecular polymer networks (SPNs), which wait for an operator’s command to organize autonomously. In this prototypical system, the controlled disassembly of a metastable interlocked molecule (rotaxane) liberates an active species to the medium. This species crosslinks a ring-containing polymer and assembles with a reporting macrocycle to produce colorful SPNs. We demonstrate that by using identical preprogrammed systems, one can access multiple supramolecular polymer networks with different degrees of fluidity (μ* = 2.5 to 624 Pa s-1) and color, all as desired by the end-user.
Mitigating the impact of biased artificial intelligence in emergency decision-making
Authors: Adam Hammaad , Balagopalan Aparna , Alsentzer Emily , Christia Fotini , Ghassemi Marzyeh
Published: November 2022

Background

Prior research has shown that artificial intelligence (AI) systems often encode biases against minority subgroups. However, little work has focused on ways to mitigate the harm discriminatory algorithms can cause in high-stakes settings such as medicine.

Methods

In this study, we experimentally evaluated the impact biased AI recommendations have on emergency decisions, where participants respond to mental health crises by calling for either medical or police assistance. We recruited 438 clinicians and 516 non-experts to participate in our web-based experiment. We evaluated participant decision-making with and without advice from biased and unbiased AI systems. We also varied the style of the AI advice, framing it either as prescriptive recommendations or descriptive flags.

Results

Participant decisions are unbiased without AI advice. However, both clinicians and non-experts are influenced by prescriptive recommendations from a biased algorithm, choosing police help more often in emergencies involving African-American or Muslim men. Crucially, using descriptive flags rather than prescriptive recommendations allows respondents to retain their original, unbiased decision-making.

Conclusions

Our work demonstrates the practical danger of using biased models in health contexts, and suggests that appropriately framing decision support can mitigate the effects of AI bias. These findings must be carefully considered in the many real-world clinical scenarios where inaccurate or biased models may be used to inform important decisions.
Update on Research Data on the Nutrient Composition of Mushrooms and Their Potentials in Future Human Diets
Authors: Rašeta Milena J. , Rakić Milana S. , Čapelja Eleonora V. , Karaman Maja A.
Published: November 2022

Mushrooms are considered a healthy food due to their high content of nutrients (dry weight): proteins (19–35%), carbohydrates (50–65%), lipids (0.1–10%), amino acids, vitamins and minerals, but generally they are low in calories and high in fiber. Mushrooms contain high amounts of essential unsaturated fatty acids: linoleic and oleic acid, non-/digestible carbohydrates, with domination of glucose and mannitol, dietary fibers, mainly as polysaccharides like chitin and β-glucans, and minerals (Fe, Zn), the content of which is often species-specific, but also dependent on many environmental factors, while the final content depends on the manner of cooking or industrial processing. With the aim of investigating new research data, the results from 114 scientific papers (2010–2021) on the nutritional values of wild-growing mushrooms used across the globe are presented here, with special focus on the following species: A. aegerita, A. bisporus, B. edulis, C. cibarius, Coprinus sp., L. sulphureus, M. procera, M. giganteus, P. ostreatus, and V. gloiocephalus.
The Global Market for Mushrooms, Their Uses as Dietary Supplements and Associated Safety Issues
Authors: Cheute Vinícius Mateus Salvatori , Backes Emanueli , Corrêa Rúbia Carvalho Gomes , Corrêa Vanesa Gesser , Bracht Adelar , Peralta Rosane Marina
Published: November 2022

Mushrooms are consumed worldwide. They are rich in proteins, fibers, vitamins, and minerals. For centuries humanity has used mushrooms as a food and medicines. Currently, mushrooms are steadily gaining importance as ingredients of dietary supplements. This chapter discusses the world mushroom market, the consumption of mushroom-based dietary supplements and aspects related to their safety.
Accessing unsymmetrical Ru(ii) bipyridine complexes: a versatile synthetic mechanism for fine tuning photophysical properties
Authors: Hallen Lukas , Horan Alexandra M. , Twamley Brendan , McGarrigle Eoghan M. , Draper Sylvia M.
Published: November 2022

Three novel unsymmetrical Ru(ii) bipyridine complexes were generated via a convenient, modular, and convergent synthetic route.
Solubility of graphene-like two-dimensional layered C3N3
Authors: Wang Wenbo , Dong Wei , Ji Lingxiao , Xia Yingkai , Yang Shaobin
Published: November 2022

g-C3N3 can be dissolved in concentrated sulfuric acid at room temperature to form a true thermodynamic solution. By adding deionized water to the solution, it can be successfully reversible precipitated.
Two heptanuclear cluster-based 3D metal–organic frameworks with a good magnetocaloric effect
Authors: Cao Shouying , Fan Chenpeng , Lu Mengwen , Li Meng , Zhou Yuhang , Wang Hongxia , Lin Qingfang , Liang Lili
Published: November 2022

Two coordination polymers featuring a 3D framework with a garland-shaped circle structure based on Ln7 units were synthesized in which1Gdshows good MCE with −ΔSmmax= 40.85 J kg−1K−1at 3 K and ΔH= 7 T.
Changes in CCN activity of ship exhaust particles induced by fuel sulfur content reduction and wet scrubbing
Authors: Santos Luis F. E. d. , Salo Kent , Kong Xiangrui , Noda Jun , Kristensen Thomas B. , Ohigashi Takuji , Thomson Erik S.
Published: November 2022

Maritime transport remains a large source of airborne pollutants, including exhaust particles that can act as cloud condensation nuclei (CCN).
Tieguanyin extracts ameliorated DSS-induced mouse colitis by suppressing inflammation and regulating intestinal microbiota
Authors: Zhang Yuxi , Feng Xinyu , Lin Haiyu , Chen Xue , He Puming , Wang Yuefei , Chu Qiang
Published: November 2022

The regulatory effects on inflammation and gut microbiota in DSS-induced colitis mice enable Tieguanyin oolong tea extracts to be considered a potential IBD treatment agent.
Prospects of nanostructure-based electrochemical sensors for drug detection: a review
Authors: Chaudhary Manika , Kumar Ashwani , Devi Arti , Singh Beer Pal , Malhotra Bansi D. , Singhal Kushagr , Shukla Sangeeta , Ponnada Srikanth , Sharma Rakesh K. , Vega-Olivencia Carmen A. , Tyagi Shrestha , Singhal Rahul
Published: November 2022

The present study represents the advancements achieved over the past ten years towards the development of electrochemical sensors based on nanomaterials.
Flexible percolation fibrous thermal insulating composite membranes for thermal management
Authors: An Lu , Di Luigi Massimigliano , Tan Jingye , Faghihi Danial , Ren Shenqiang
Published: November 2022

Flexible thermal insulating membranes are ubiquitous in thermal management.
Yolk–shelled LiNi0.6Co0.2Mn0.2O2 cathode for high-performance lithium ion batteries: a general synthetic strategy
Authors: Gao Ang , Yao Tianhao , Yao Menglong , Chen Ruochen , He Qiangrui , Wang Hongkang
Published: November 2022

By virtue of complexing Ni/Co/Mn ions with glucose under solvothermal conditions, well-defined spherical Ni/Co/Mn-gluconate with tunable size and elemental composition is prepared and readily converted into yolk–shelled Li(NixCoyMn1−x−y)O2.
Recent advances in green thermally activated delayed fluorescence emitters towards high colour purity and good electroluminescence performance
Authors: Braveenth Ramanaskanda , Raagulan Kanthasamy , Kim Yu-Jin , Kim Bo-Mi
Published: November 2022

Green conventional TADF emitters show good device performance, but MR-TADF emitters reveal high colour purity while retaining better device properties. Substituting various donors, acceptors or both on boron central core bring an interesting strategy toward green emissions.
Aluminum functionalized few-layer silicene as anode material for alkali metal ion batteries
Authors: Ipaves Bruno , Justo João F. , Assali Lucy V. C.
Published: November 2022

We have investigated the possibility of using aluminum functionalized silicene trilayers (ABC-Si4Al2) as an anode material for alkali metal ion batteries (AMIBs).
A novel highly sensitive fluorescent probe for imaging endogenous CO
Authors: Rong Xiaodi , Peng Yiyuan , Liu Caiyun , Li Mingzhu , Shi Jiafan , Yu Miaohui , Ba Shuaikang , Sheng Wenlong , Zhu Baocun
Published: November 2022

A highly sensitive and selective fluorescent probe was constructed to detect carbon monoxide in living cells and zebrafish.
“Turn-on” fluorescence sensor for organic amines fabricatedviasustainable processing
Authors: Hu Renjian , Lin Shiyun , Hu Danning , Huang Hongye , Wang Mengshi , Li Ruoxin , Tian Mei , Shuai Zhigang , Wei Yen
Published: November 2022

A broad-spectrum “turn-on” fluorescent sensor for organic amines has been established with a bis-catechol-decorated naphthalene scaffold. It is first synthesized through green chemistry processing with lower solvent consumption.
New validated spectrofluorimetric protocol for colistin assay through condensation with 2,2-dihydroxyindan-1,3-dione: application to content uniformity testing
Authors: Attia Tamer Z. , Abdelmajed Mahmoud A. , Omar Mahmoud A. , Al Thagfan Sultan S. , Badr El-Din Khalid M.
Published: November 2022

Spectrofluorimetric assay of colistin in authentic and pharmaceutical market forms through condensation with ninhydrin. Application of content uniformity testing.
Multi-response gelation based on the molecular assembly of Sudan I dye derivatives for phase selective gelators and chemosensors
Authors: Cao Ban-Peng , Shi Xue-Wen , Ding Haixin , Wu Ya-Min , Matsumoto Kenta , Okamoto Hiroaki , Xiao Qiang
Published: November 2022

Sudan I dye-based gelators with excellent response to irradiation have been successfully synthesized. The gelation behaviors in response to temperature, pH changes, metal cations, and UV-vis light irradiation are investigated.
Light-driven autonomous swing of multi-layered hydrogel
Authors: Nakamura Shunsuke , Yamanaka Momoka , Oishi Yushi , Narita Takayuki
Published: November 2022

The multi layered thermosensitive hydrogel can work as an autonomous swing driven by stationary light.
Polymorphism of the Co–Te nanophases in mechanochemical synthesis
Authors: Malagutti Marcelo Augusto , Carvalho Paes Vagner Zeizer , Geshev Julian , Maduro de Campos Carlos Eduardo
Published: November 2022

The mechanochemical synthesis of all cobalt tellurides' phases is demonstrated in this work.
Preparation of SiO2 resin coating with superhydrophobic wettability and anti-icing behavior analysis
Authors: Hao Xiaoru , Xie Jun , Zhang Yu , Cheng Zhihao , Sheng Wei
Published: November 2022

Among different types of anti-icing coatings, superhydrophobic surfaces have attracted extensive attention due to their excellent water repellency and low thermal conductivity.
The design of experiments (DoE) in optimization of an aerobic flow Pd-catalyzed oxidation of alcohol towards an important aldehyde precursor in the synthesis of phosphatidylinositide 3-kinase inhibitor (CPL302415)
Authors: Michałek Stanisław , Gurba-Bryśkiewicz Lidia , Maruszak Wioleta , Zagozda Marcin , Maj Anna M. , Ochal Zbigniew , Dubiel Krzysztof , Wieczorek Maciej
Published: November 2022

DoE study of the aerobic flow Pd-catalyzed oxidation of an alcohol to an aldehyde in the synthesis of PI3Kδ inhibitor. The evaluation of green metrics show that the process is sustainable in comparison with two already known stoichiometric methods.
Process optimization using machine learning enhanced design of experiments (DOE): ranibizumab refolding as a case study
Authors: Nikita Saxena , Sharma Rashmi , Fahmi Jawad , Rathore Anurag Singh
Published: November 2022

An application of ML enhanced DOE has been demonstrated to capture the process nonlinearity more effectively. The proposed approach is applied for modelling and optimization of protein refolding, resulting in 3% improved prediction efficiency.
Topotactic redox cycling in SrFeO2.5+δ explored by 3D electron diffraction in different gas atmospheres
Authors: Batuk Maria , Vandemeulebroucke Daphne , Ceretti Monica , Paulus Werner , Hadermann Joke
Published: November 2022

Using in situ 3D electron diffraction on SrFeOx nanocrystals during the solid–gas redox reaction, we uncovered oxygen-vacancy ordering and domain formation not observable by in situ solid–gas bulk diffraction techniques.
Active-site engineering in dealloyed nanoporous catalysts for electrocatalytic water splitting
Authors: Qiao Yijin , Peng Ming , Lan Jiao , Jiang Kang , Chen Dechao , Tan Yongwen
Published: November 2022

In this review, we comprehensively discuss the unique advantages, the recent advances and the future development prospects in dealloyed nanoporous materials for electrocatalytic water splitting from the perspective of active-site engineering.
Indium-free GZO thin films prepared using plasma-enhanced atomic layer deposition: toward thin film transistor application
Authors: Shi Chun-Yan , Chen Qi-Zhen , Zhang Zhi-Xuan , Hsu Chia-Hsun , Zhao Ming-Jie , Zhang Xiao-Ying , Gao Peng , Wu Wan-Yu , Wuu Dong-Sing , Huang Chien-Jung , Lien Shui-Yang , Zhu Wen-Zhang
Published: November 2022

Indium-free GZO thin films have been prepared using PEALD and employed as a channel layer of TFTs.
Electricity theft detection method based on multi‐domain feature fusion
Authors: Zhao Hong‐shan , Sun Cheng‐yan , Ma Li‐bo , Xue Yang , Guo Xiao‐mei , Chang Jie‐ying
Published: November 2022

To solve the problem of low accuracy of the previous electricity theft detection methods, the authors propose a multi‐domain feature (MDF) fusion electricity theft detection method based on improved tensor fusion (ITF). Firstly, the original electricity consumption series is transformed by gram angle field (GAF) to obtain the time‐domain matrix. The original electricity consumption series is converted into frequency‐domain by Maximal Overlap Discrete Wavelet Transform (MODWT) to obtain the frequency‐domain matrix. Then, the convolutional neural networks (CNN) are used to extract features of the time‐domain matrix and frequency‐domain matrix, respectively. Next, in order to fuse single‐domain feature information and MDF interaction information while reducing redundant information, the authors propose an ITF method to obtain a multi‐domain fusion tensor. Finally, the multi‐domain fusion tensor is input into the electricity theft inference module to judge whether the user implements electricity theft behaviour. The authors simulate six electricity theft types and evaluate the method's performance separately for each electricity theft type. The results show that the proposed method outperforms other methods.
Technical analysis of automobile pollution treatment
Authors: Yang Anke , Qiao Tongtong
Published: November 2022

The automobile emission exceeds the standard problem, is a world subject, only has the technical analysis to be able to obtain the effective management. In the vehicle aftermarket, vehicle maintenance is the main way to control vehicle exhaust exceeding the standard. Vehicle design and manufacturing factory with technical performance, with the vehicle running time, load changes constantly, the parts of the wear, deformation, aging, loss of function and other phenomena, the vehicle technical performance far less than the factory design requirements, will cause vehicle emissions seriously exceed the standard, serious air pollution. We must carefully analyze the vehicle technical conditions, find the crux of the problem can be very good maintenance management.
Investigation of methods for measuring fuel economy and emissions of heavy-duty hybrid-electric vehicles (HEVs)
Authors: Zhao Jianfu , Zhang Dan , Gao Dongzhi , Bao Junjiang , Jing Xiaojun , Li Mingxuan
Published: November 2022

Hybrid-electric vehicles can achieve low fuel consumption and emission by optimal combination of electrical energy and internal combustion engine power. There are four main test method of energy consumption and emission for heavy-duty HEVs, including traditional engine bench test, powertrain test, HILS and chassis dynamometer test. The tradition engine operating conditions are distinguished from that in HEVs, which can’t reflect the performance of HEVs. Powertrain test can achieve braking energy regeneration, but need bulky installation on testbed. HILS test solves the problem that the engine test cycle is different from the actual operating condition on road and is cost-effective. However, it requires a lot of effort to monitor the HILS simulation input parameters and carry out vehicle validation. Chassis dynamometer test method can better reflect the real-road driving condition. But it is nearly impossible to test all different HEVs types on chassis dynamometer and the test cost is very expensive. By comparing different heavy-duty HEVs energy consumption and emission test methods, the advantages and disadvantages are identified, which provides guidance for the formulation of the next-stage standards of heavy-duty HEV, and promotes the healthy and orderly development of the HEV industry.
Fuel consumption comparison of heavy-duty commercial vehicles under CHTC and C-WTVC cycles based on VECTO
Authors: Wu Linlin , Wang Xiaowei , Jing Xiaojun , Wu Chunling , Gao Tao , Li Tengteng
Published: November 2022

In this paper, the simulation method of calculating the fuel consumption of heavy-duty commercial vehicles based on VECTO (Vehicle Energy Consumption Calculation Tool) was introduced, and the fuel consumption of four vehicles under C-WTVC and CHTC cycles was calculated with VECTO. The differences between C-WTVC and CHTC cycles were analyzed by comparing the characteristic parameters, and the fuel consumption map and driving acceleration of two cycles were compared, so as to explore the influence of different test cycles on fuel consumption. The results show that compared with the C-WTVC cycle, the fuel consumption of CHTC cycle increases by 17.08g/km~28.12g/km, with an increase of 6.42%~17.26%. Most of the engine working points in the CHTC cycle work in the middle and low speed and torque regions and the acceleration range of CHTC cycle is wider are important reasons for the increase of fuel consumption.
Effect of diesel detergent synergists on VOCs emissions from engine
Authors: Wei Hongyuan , Yin Zenghui , Wang Shan , Jing Xiaojun , Wu Chunling , Qin Mingcong , Liu Jixu
Published: November 2022

In this study, the volatile organic compounds (VOCs) emissions from engine fueled diesel with and without detergent synergist were measured by gas chromatography mass spectrometry(GC-MS). The test results show that compared with reference diesel fuel (without diesel detergent synergist), the use of different diesel detergent synergists has different effects on the VOCs emissions while without after-treatment device. Whether with or without after-treatment device, alkanes always account for the highest proportion of VOCs emissions while engine fuels with different diesel detergent synergists. After-treatment device diesel oxidation catalyst coupled with diesel particulate filter (DOC+DPF) has high catalytic efficiency for VOCs emissions from engine fueled with different fuels, and most of the catalytic efficiency could reach more than 95%. With the catalytic treatment of after-treatment device,the concentrations of carcinogens (detected in this study) in VOCs emissions from engine fueled with and without detergent synergist are far lower than that specified in reference standard GBZ 2.1-2007 “Occupational Exposure Limits for Hazardous Factors in the Workplace and Chemical Hazardous Factors”, respectively. The test results indicate that the use of diesel detergent synergist will not have an adverse impact on human health and it can be safely used.
Study on the effects of nitro-based fuel additive on diesel engine performance and emissions
Authors: Yin Zenghui , Jing Xiaojun , Zhang Lin , Zhang Enxing , Wu Mingding
Published: November 2022

Through adding nitro-based fuel additive into diesel fuel,the influences of additive on engine performance, gaseous emission, particle number concentration and exhaust smoke were studied on a test bench. Meanwhile, the functioning mechanism and combustion characteristics were studied through constant volume combustion vessel. The system is composed of high pressure common rail fuel injection system, high pressure constant volume combustion vessel, high speed camera, data synchronization and acquisition system. The maximum diesel injection pressure is 160 MPa, and it can be heated to 1000 K under the back pressure of 3 MPa.

According to the research results, adding fuel additive can decrease both exhaust smoke and exhaust temperature of engine for european steady state cycle(ESC). Moreover, The fuel additive improved the engine’s power slightly and expanded the economic fuel consumption working area. The minimum fuel consumption rate was reduced from 204.6g/kWh to 202.2g/kWh, and the highest fuel saving rate was about 2%. After adding MAZ, the mass of the recycled particles can be reduced by about 15%,and the average smoke intensity of most operating points showed a downward trend, with a maximum drop of 55%, the NOx weighted emissions of the whole cycle decreased by more than 2%. After adding nitro-based fuel additive, the ignition delay and flame lift-off length became longer in the combustion process, but the duration of combustion was shorter, which are in accordance with chemical reaction kinetics analysis.
Study on the influence of different energy storage modes on the confidence capacity of renewable energy
Authors: Guo Yujie , Li Fuqiang , Tian Xueqin , Zhang Jing , Degejirifu  , Li Wenxuan , Wang Xinlei , Ji Jie , Xu Tong , Zhao Wei
Published: November 2022

Renewable energy has typical intermittent characteristics, strong random fluctuation of output, and insufficient support capacity at peak load. Therefore, the power supply guarantee of high proportion of renewable energy power system is facing severe challenges. Renewable energy allocation and energy storage can solve the problem of random volatility of renewable energy to a certain extent. In this context, based on the operation mechanism of electrochemical energy storage, this paper establishes the Renewable energy + Energy storage operation optimization model considering the operation safety characteristics of electrochemical energy storage. In order to provide technical support for the planning and construction of related enterprises, the paper explores the effectiveness of large-scale renewable energy configuration of electrochemical energy storage, and analyzes the impact of different energy storage operation modes which is solved by CPLEX. The results indicate that renewable energy configuration energy storage can improve its confidence capacity and reduce the peak valley difference rate of net load, but the specific effect is closely related to the operation mode of energy storage.
Novel method for microencapsulation of eutectic hydrated salt
Authors: Huo Xianliang , Wang Shujun
Published: November 2022

Phase change materials (PCMs), as latent thermal energy storage, have received plenty of attention in recent decades due to their excellent performance in energy conservation. Inorganic hydrated salts have many advantages over organic phase change materials, such as higher thermal storage density, low cost, nontoxicity and nonflammability. This work presents a simple and environmentally friendly method for the preparation of microcapsules with inorganic hydrated salts as core materials. Microcapsule using EHS composed of SSD and DHPD as core material and EC/ABS as shell material has been prepared and investigated by various characterization techniques. The scanning electron microscope (SEM) results indicate that the microcapsules are basically spherical with a core-shell structure. In addition, Fourier-transform infrared spectroscopy (FT-IR) analysis results suggest that the microcapsules are only the physical coating of composite shell material to core material. Furthermore, the phase transition enthalpy is 168.3 J/g according to the differential scanning calorimeter (DSC) analysis. Besides, the method of microencapsulation may be extended to other liquid hydrates salts at room temperature.
Submarine cable fault identification based on FCN-GRU-SVM
Authors: Lv Yuxiang , Dong Yawen , Li Yuan , Wu Hui , Hu Kai , Hu Hao , Feng Wenjiang
Published: November 2022

With the continuous growth of the global submarine cable laying length, the frequency of faults and the caused economic losses are increasing year by year. Rapid identification of submarine cable faults can reduce economic losses. For several typical submarine cable faults, this paper proposes a recognition method based on FCN-GRU-SVM. First, pre-process the original signal, then import the data into FCN-GRU to extract the signal features, and finally use SVM to identify the fault types. The experimental verification using the data set obtained by finite element simulation shows that the proposed method is superior to the comparison model and other time-frequency processing methods in accuracy and robustness.
Study on underwater two-dimensional exhaust vent mode based on fixed orifice spacing and variable orifice area distribution
Authors: Suo Jun , Wang Hongbin , Xu Fei , Tang Simi
Published: November 2022

The scale parameters of bubbles produced by underwater exhaust influence the effect of the acoustic insulation. According to the dynamic characteristics in the process of underwater exhaust and the design criteria of equal flow per unit area, the two-dimensional equation of underwater exhaust was established. The analytical expressions of the orifice position and geometric parameters of the two-dimensional underwater exhaust device were obtained. The finite element models were established to compare the two vent patterns of uniform distribution and fixed orifice spacing / variable orifice area distribution. The exhaust effect was verified by circulating flume test. The simulation and experimental results show that the fixed orifice spacing and variable orifice area distribution mode can effectively control the distribution of bubbles scale parameters, and enhance the acoustic insulation effect of bubbles.
Improved Asian food object detection algorithm based on YOLOv5
Authors: Tan Xiao , He Xiaopei
Published: November 2022

An improved model called TR-YOLO is employed for Asian food object detection. Firstly, the ViT module is introduced into the model to make better use of global features. Secondly, the Swin Transformer module is introduced on the three detection branches to output the features. Finally, the Mconcat feature fusion method is proposed, which enables the model to learn the feature weights to assign feature channels independently. The experimental results show that the TR-YOLO model further improves the detection accuracy.
Research on simulation and optimization of road traffic flow based on Anylogic
Authors: Liu Yang , Song Yunxue
Published: November 2022

With the development of urban roads and the growth of traffic flow, large-scale congestion often occurs. The long time-consuming urban road traffic makes drivers very annoying. This is the main reason for using simulation tools to analyze and optimize urban road traffic flow. Intelligent body modeling and simulation has been regarded as a reliable and powerful tool in the field of traffic simulation. This paper uses Anylogic software based on intelligent modeling and simulation to solve the traffic flow optimization problem in a congested area in Tianjin. The simulation results show that by changing the display time of the traffic lights in the road network, the vehicle travel time in the system is reduced from 145.46 seconds to 132.31 seconds. After 300 iterations of experiments, it was determined that the vehicle’s travel time in the system reached the optimum when iterated 73 times.
Numerical study on fiber waviness defect and sensitivity analysis of the parameters
Authors: Zhou Long , Zhu Shuhua
Published: November 2022

The presence of fiber waviness defects is well-known to reduce the compressive strength. A FE model was established and the results of failure load and mode were compared with the test results to demonstrate the validity and accuracy. The influence of two parameters L and offset Angle θ of fiber waviness defect was studied. The simulation results show that the compression failure load increases with the increasing of L at constant A/H for convex and concave fiber fold by 33.0% and 20.1% respectively, but there is no significant effect on the failure load with θ within 5%.
New urbanization, income gap between urban and rural areas and economic growth-empirical analysis based on the Yangtze River Delta region
Authors: Wu Jiaxin
Published: November 2022

Under the current background of common prosperity, studying the dynamic relationship between the new urbanization, urban-rural income gap and economic growth in the Yangtze River Delta is conducive to the coordinated and integrated development of our country. Based on the relevant data of the Yangtze River Delta from 2001 to 2020, the VECM model is used for impulse response and variance decomposition analysis. The results show that economic growth significantly affects the development of new urbanization; The impact of new urbanization and economic growth on urban-rural income gap is heterogeneous; Both have a positive impact on economic growth, but the new urbanization has a stronger role in promoting economic growth.
Solar photovoltaic tree multi aspects analysis − a review
Authors: Gonçalves de Bem Leandro , Oliveira Filho Delly , Imbuzeiro Hewlley Maria Acioli , Pereira Oliveira João Victor , Motoike Sérgio Yoshimitsu , Maciel da Costa Vinícius , Filho David Lelis
Published: November 2022

The generation of photovoltaic solar energy worldwide has increased significantly in recent years. This is mainly due to the growing demand of society for electricity, the need to reduce environmental impacts, and costs of such technology. The installation of a photovoltaic system with horizontally fixed panels requires a significant unshaded area, which has become increasingly scarce, especially in urban centers. The photovoltaic solar tree is a strategy used to increase the efficiency of photovoltaic systems by reducing the occupied area and optimizing the orientation angles of the panels. The originality of this work was that, through a literature review in different researches, seven relevant parameters related to solar photovoltaic trees were analyzed: (i) modeling and simulation, (ii) tree topology, (iii) orientation of the panels, (iv) constructive characteristics, (v) solar tracking, (vi) occupied area and (vii) site multiple uses. It was found that the photovoltaic solar tree is an interesting alternative to generate renewable energy for places without large enough areas, which can be used for other purposes, such as crop production and parking. Finally, it was concluded that, to date, there are no studies available in the literature on the optimization of photovoltaic generation per area for different topologies of known solar trees.
Le stellarator, en mode Renaissance Fusion
Authors: Le Gros Gaïc
Published: November 2022

Renaissance Fusion porte, comme son nom l’indique, un projet innovant de fusion nucléaire. Parmi les différentes technologies étudiées dans le monde, l’entreprise mise sur le stellarator pour construire à terme un « petit » réacteur compact de 1000 MWe.
Trainieren statt Massieren – HWS untersuchen und behandeln bei unspezifischem Nackenschmerz – Teil 2 von 2
Authors: Tiemann Michael
Published: November 2022

Bei Nackenschmerzen wird häufig massiert und gedehnt, obwohl Leitlinien einen Mix aus aktiver Trainingstherapie, Edukation und Manueller Therapie empfehlen. Für die Gestaltung einer aktiven Therapie ist es essenziell, das komplette neuromuskuloskelettale System der Halswirbelsäule zu untersuchen. Erst dann lassen sich artikuläre, muskuläre, propriozeptive oder okulomotorische Dysfunktionen gezielt behandeln.
Knorpelsprechstunde
Authors: Welsch Götz , Schoch Wolfgang , Keller Matthias
Published: November 2022

Ein Arzt und zwei Sportphysios unterhalten sich über drei Patienten, die alle einen Knorpelschaden im Knie haben. Dabei wird schnell klar, dass für jeden Patienten ein individueller Therapieplan erstellt werden muss.
Red Flags und Beurteilung von Frakturen auf dem Spielfeld
Authors: Eastman Madelin
Published: November 2022

Sportphysiotherapeuten sind oft die Ersten, die sich bei Wettkämpfen um verletzte Sportlerinnen und Sportler kümmern. Daher ist es wichtig, dass sie auch einen Knochenbruch nicht übersehen und wissen, was dann zu tun ist …
Whispering gallery modes of a triatomic photonic molecule
Authors: Shuvayev Vladimir , Kreps Stanislav , Carmon Tal , Deych Lev
Published: November 2022

In this paper, we present the results of numerical simulations of the optical spectra of a three-sphere photonic molecule. The configuration of the system was continuously modified from linear to triangular, in-plane with the fundamental mode excited in one of the spheres and perpendicular to it. We found the relative insensitivity of the spectra to the in-plane deviation from the linear arrangement up to about 110°. For larger angles, the spectra show significant modification consisting of the major spectral peaks splitting and shifting. On the contrary, the spectra are quite sensitive to out-of-plane molecule deviation, even at small angles. Thus, the spectra of photonic molecules can be modified by changing the mutual positions of the constituent resonators, which can be useful in reconfigurable photonic devices.
Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms
Authors: Bohacek Matyas , Farid Hany
Published: November 2022

Since their emergence a few years ago, artificial intelligence (AI)-synthesized media—so-called deep fakes—have dramatically increased in quality, sophistication, and ease of generation. Deep fakes have been weaponized for use in nonconsensual pornography, large-scale fraud, and disinformation campaigns. Of particular concern is how deep fakes will be weaponized against world leaders during election cycles or times of armed conflict. We describe an identity-based approach for protecting world leaders from deep-fake imposters. Trained on several hours of authentic video, this approach captures distinct facial, gestural, and vocal mannerisms that we show can distinguish a world leader from an impersonator or deep-fake imposter.
Classifiers in nDrapa
Authors: Huang Yang
Published: November 2022

This paper introduces noun categorization devices in nDrapa. It argues that nDrapa usually requires both numeral classifiers and verbal action classifiers to express classificatory techniques. Morphologically, classifiers are fused with numerals; without the involvement of classifiers, numerals cannot be directly associated with nouns. Classifiers can derive from the pragmatic function, in which a considerable number of classifier-derived quantifiers and adverbs reveal the adverbial function with respect to the softening voice and politeness. Historically, the majority of classifiers can trace their etyma back to nouns. This paper’s five sections explore the grammatical properties of classifiers in nDrapa. InSection 2andSection 3, I provide background information on numerals and numeral classifiers, and describe the characteristics of verbal action classifiers in nDrapa.Section 4explores expressions relevant to classifier-related grammatical categories. InSection 5, I summarize the pragmatic and functional properties of classifiers in nDrapa. InSection 6, I introduce the origin and development of classifiers in this language. To conclude this paper, I propose that the limited number of classifiers in nDrapa may exhibit an infant development of classificatory devices in this language.
Nominal classification in Zhuang
Authors: Luo Yongxian
Published: November 2022

The Zhuang language employs a system of nominal classification, including numeral classifiers, modifier classifiers, class terms, kin prefixes, gender markers, prefixable morphemes for topographic names, among others. Quite often, the same set of morphemes is used as numeral classifiers and with demonstratives. The numeral classifier system is particularly salient, comprising numeral terms and noun classifiers, with dozens of classifiers featuring fine semantic distinctions. The modifier classifier system involves the use of classifiers in nominal modification of all kinds. The kinship system consists of kinship terms which take prefixes and other human terms as prefixes to personal names. Gender markers are found for human nouns, some kinship terms and animal nouns or plant names. Toponyms or place names are headed by morphemes describing the topographic or geographic features of the places or locations in question. Discourse contexts may also help to differentiate different types of Classifier Phrase.
An explanation of causal-noncausal verb alternations in terms of frequency of use
Authors: Inoue Kazuko
Published: November 2022

To account for the cross-linguistic trends in the coding of causal-noncausal verb pairs, such as break (tr.)/break (intr.), Haspelmath et al. (2014) proposed, and provided corpus-based support for, an explanation in terms of usage frequency (Prediction 1, hereafter P1). However, this explanation cannot be applied to English causal-noncausal verb pairs. Since English mostly uses the same verb form for the causal and noncausal verb use, the explanation does not follow the form–frequency correspondence principle (hereafter FFCP) that Prediction 1 (hereafter P1) is based upon. In this article I argue, by using causative-affixed verbs, that for a linguistic pair there is a strong correlation in terms of frequency between form and earlier occurrence. Therefore, in place of the FFCP and P1, I propose the earlier occurrence – frequency correspondence principle (hereafter EOFCP) and the Revised Prediction 1 (hereafter RP1) based on it. This study tests the validity of the EOFCP and RP1 by applying them to 20 English verb pairs of sound emission. The investigation of frequency was made not only in present-day English but also at the time when the intransitive or transitive use came to be paired with its counterpart. The analysis shows that by applying the RP1 to the frequency data at the two time periods, we can obtain considerably high scores of matching rate, with a significant Spearman rank order correlation between the two groups.
Stance-taking towards chronotopes as a window into people’s reactions to societal crises
Authors: De Fina Anna
Published: November 2022

The focus of this article is the analysis of stance taking vis-à-vis a chronotope born during the Covid-19
pandemic as a window into how people react to global crises and into the kinds of values that get an uptake and become widely
shared in periods of unrest. I focus on Twitter users’ reactions in relation to a “chronotope of the balcony performances” that
developed in Italy during the national lockdown. I analyze the stances that participants express towards the chronotope itself and
a variety of objects related to it, and the semiotic resources that they recruit to do so. I show how a general positive reaction
to the chronotope is related to the balcony performances being seen as expressing solidarity. Data for the paper come from 110 top
tweets resulting from a search based on the presence of chronotope-related words and 95 tweets responding to one of the original
tweets.
When invoked voices blame real politicians
Authors: Gruber Helmut
Published: November 2022

This case study analyses the socio-pragmatic effects of invoked multiple voices in a commemorative speech delivered by Austrian writer Michael Köhlmeier on the occasion of the 2018 Austrian commemoration day against violence and fascism. Köhlmeier uses different forms of discourse representation to blame politicians of the then Austrian government for their political statements and actions. The focus of this article is on the speaker’s combination of (imagined and real) sources and forms of discourse representation, resulting in strategically deployed perspective shifts to express opposition and blame. Furthermore, the sociopragmatic functions of these rhetorical and textual strategies in the context of situation, as well as in the wider context of the Austrian culture of collective remembrance are explored, in particular by showing that by blaming actual Austrian politicians for their political statements and actions, the traditional consensual commemorative discourse is breached. This latter effect is probably responsible for the huge public attention the speech attracted in 2018.
Resemblance in comments/posts interaction
Authors: Weizman Elda , Kohn Ayelet
Published: November 2022

This paper studies dialogicity in posts and their comments. Focusing on political slogans in the Facebook page of Israel PM Binyamin Netanyahu, we examine the ways comments meta-represent the posts in various degrees of resemblance. Starting with the premise that comments/post interactions are dialogic in the Bakhtinian sense, we argue that comments are dialogic in yet another way, which is related to the form and degree of resemblance between them. The conceptualization draws on the notion of meta-representation supplemented by insights gained from accommodation theory and Bakhtin’s dialogism. We argue that through resemblance, the propositional content, ideology and viewpoint conveyed by the initiating slogan are incorporated in the comment, and a tacit dialogue is constructed between them. An additional layer of polyphony is added to the multiplicity of ratified voices otherwise manifest in the interaction between separate posts and comments.
Polemic polyphony
Authors: Noy Chaim
Published: November 2022

Bakhtin famously argued that language-as-used is essentially dialogic. One pragmatic implication concerns how dialogicity is established in various contexts. In political discourse, polemic polyphony emerges from the juxtaposition of adversarial voices of political actors: a dialogue in which different voices index different ideological orientations. Polyphonic ensembles establish discoursal scenes and make them recognizable, enabling distinctions such as those between ‘us’ and ‘them’, and between heroes and villains. Overall, they assist speakers in the semiotic mediation of political relations.

The corpus includes eighteen speeches delivered during a dissent event that takes place after the Sheikh Jarrah weekly anti-occupation demonstration in East Jerusalem. The speeches are given in Hebrew by a Palestinian neighborhood resident and activist, to a small audience of regular Jewish-Israeli protestors. Through studying noninstitutionalized political discourse, dialogicity and polemic polyphony are illuminated in an on-the-ground, context-rich, and marginalized setting.
Dialogic language and meta-language in a conflictual discourse
Authors: Spokoiny Ohala , Livnat Zohar
Published: November 2022

Based on Buber’s dialogic philosophy, ideas from the ethics of dialogue and politeness theory, we analyze letters
written by members of an Israeli organization named Besod Siach – who come from both the left and right wings,
are both religious and secular, who decided to broaden and deepen the dialogue between different groups in Israeli society against
the backdrop of the polarization, alienation and violence threatening the state’s integrity and democratic foundations.

Our analysis has three focal points: the language of the letters themselves, meta-linguistic utterances that
appear in the letters and explicitly refer to the language the writers choose to use or refrain from using, and meta-textual
utterances that relate more generally to the dialogic approach guiding the members of the group. Harmony is evinced among these
three perspectives, thus exemplifying the conditions needed in order to hold an argumentative discourse that promotes
dialogue.