bluuebunny/crossref_metadata_2025 huggingface dataset:
Moderate Wine Consumption and Health: A Narrative Review
Authors: Hrelia Silvana , Di Renzo Laura , Bavaresco Luigi , Bernardi Elisabetta , Malaguti Marco , Giacosa Attilio
Published: December 2022

Although it is clearly established that the abuse of alcohol is seriously harmful to health, much epidemiological and clinical evidence seem to underline the protective role of moderate quantities of alcohol and in particular of wine on health. This narrative review aims to re-evaluate the relationship between the type and dose of alcoholic drink and reduced or increased risk of various diseases, in the light of the most current scientific evidence. In particular, in vitro studies on the modulation of biochemical pathways and gene expression of wine bioactive components were evaluated. Twenty-four studies were selected after PubMed, Scopus and Google Scholar searches for the evaluation of moderate alcohol/wine consumption and health effects: eight studies concerned cardiovascular diseases, three concerned type 2 diabetes, four concerned neurodegenerative diseases, five concerned cancer and four were related to longevity. A brief discussion on viticultural and enological practices potentially affecting the content of bioactive components in wine is included. The analysis clearly indicates that wine differs from other alcoholic beverages and its moderate consumption not only does not increase the risk of chronic degenerative diseases but is also associated with health benefits particularly when included in a Mediterranean diet model. Obviously, every effort must be made to promote behavioral education to prevent abuse, especially among young people.
Compositional Differences of Meconium Microbiomes of Preterm and Term Infants, and Infants That Developed Necrotizing Enterocolitis or Feeding Intolerance
Authors: Kang Hyun Mi , Kim Sol , Hwang-Bo Seok , Yoo In Hyuk , Seo Yu-Mi , Oh Moon Yeon , Im Soo-Ah , Youn Young-Ah
Published: December 2022

The primary aim of this study was to investigate the compositional differences of the first passed meconium microbiome in preterm and term infants, and the secondary aim was to compare the meconium microbiomes of preterm and term infants that later developed necrotizing enterocolitis (NEC)/Feeding intolerance (FI) compared to those that did not develop NEC/FI. During the study period, a total of 108 preterm and term newborns' first passed meconium occurring within 72 hours of birth were collected and microbiome analyzed. Meconium microbiomes showed a disruption in the percentages of the core microbiome constituents in both the phylum and genus levels in infants born < 30 weeks of gestational age (GA) compared to those born ≥ 30 weeks of GA. In the phylum level, Bacteroidetes and Firmicutes, and in the genus level, Prevotella and Bacteroides, were predominant, with Prevotella accounting for 20–30% of the relative abundance. As GA increased, a significant increase in the relative abundance of Bacteroidetes (P for trend < 0.001) and decrease in Proteobacteria (P for trend = 0.049) was observed in the phylum level. In the genus level, as GA increased, Prevotella (P for trend < 0.001) and Bacteroides (P for trend = 0.002) increased significantly, whereas Enterococcus (P for trend = 0.020) decreased. Compared to the control group, the meconium of infants that later developed NEC/FI had significantly lower alpha diversities but similar beta-diversities. Furthermore, the NEC/FI group showed a significantly lower abundance of Bacteroidetes (P < 0.001), and higher abundance of Firmicutes (P = 0.034). To conclude, differences were observed in the composition of the first passed meconium in preterm and term infants that later develop NEC/FI compared to those that did not.
Pathogen Exposure in White Whales (Delphinapterus leucas) in Svalbard, Norway
Authors: Nymo Ingebjørg H. , Siebert Ursula , Baechlein Christine , Postel Alexander , Breines Eva M. , Lydersen Christian , Kovacs Kit M. , Tryland Morten
Published: December 2022

The Svalbard white whale (Delphinapterus leucas) population is one of the smallest in the world, making it particularly vulnerable to challenges such as climate change and pathogens. In this study, serum samples from live captured (2001–2016) white whales from this region were investigated for influenza A virus (IAV) antibodies (Abs) (n = 27) and RNA (n = 25); morbillivirus (MV) Abs (n = 3) and RNA (n = 25); Brucella spp. Abs; and Toxoplasma gondii Abs (n = 27). IAV Abs were found in a single adult male that was captured in Van Mijenfjorden in 2001, although no IAV RNA was detected. Brucella spp. Abs were found in 59% of the sample group (16/27). All MV and T. gondii results were negative. The results show that Svalbard white whales have been exposed to IAV and Brucella spp., although evidence of disease is lacking. However, dramatic changes in climate and marine ecosystems are taking place in the Arctic, so surveillance of health parameters, including pathogens, is critical for tracking changes in the status of this vulnerable population.
Assessing Red Fox (Vulpes vulpes) Demographics to Monitor Wildlife Diseases: A Spotlight on Echinococcus multilocularis
Authors: Celva Roberto , Crestanello Barbara , Obber Federica , Dellamaria Debora , Trevisiol Karin , Bregoli Marco , Cenni Lucia , Agreiter Andreas , Danesi Patrizia , Hauffe Heidi Christine , Citterio Carlo Vittorio
Published: December 2022

The assessment of red fox population density is considered relevant to the surveillance of zoonotic agents vectored by this species. However, density is difficult to estimate reliably, since the ecological plasticity and elusive behavior of this carnivore hinder classic methods of inference. In this study, red fox population density was estimated using a non-invasive molecular spatial capture-recapture (SCR) approach in two study areas: one in a known hotspot of the zoonotic cestode Echinococcus multilocularis, and another naïve to the parasite. Parasitological investigations on collected samples confirmed the presence of the parasite exclusively in the former area; the SCR results indicated a higher fox population density in the control area than in the hotspot, suggesting either that the relationship between fox density and parasite prevalence is not linear and/or the existence of other latent factors supporting the parasitic cycle in the known focus. In addition, fox spotlight count data for the two study areas were used to estimate the index of kilometric abundance (IKA). Although this method is cheaper and less time-consuming than SCR, IKA values were the highest in the areas with the lower molecular SCR density estimates, confirming that IKA should be regarded as a relative index only.
The Physicochemical and Antimicrobial Properties of Silver/Gold Nanoparticles Obtained by “Green Synthesis” from Willow Bark and Their Formulations as Potential Innovative Pharmaceutical Substances
Authors: Sandulovici Roxana Colette , Carmen-Marinela Mihailescu , Grigoroiu Alexandru , Moldovan Carmen Aura , Savin Mihaela , Ordeanu Viorel , Voicu Sorina Nicoleta , Cord Daniel , Costache Gabriela Mariana , Galatanu Mona Luciana , Popescu Mariana , Sarbu Iulian , Mati Erand , Ionescu Lucia Elena , Neagu Răzvan , Ţucureanu Vasilica , Claudia Rîmbu Mirela , Mihalache Iuliana , Romanitan Cosmin , Piperea-Sianu Alice , Boldeiu Adina , Brincoveanu Oana , Manea Carmen Elisabeta , Firtat Bogdan , Muscalu George Stelian , Dragomir David
Published: December 2022

Green chemistry is a pharmaceutical industry tool, which, when implemented correctly, can lead to a minimization in resource consumption and waste. An aqueous extract of Salix alba L. was employed for the efficient and rapid synthesis of silver/gold particle nanostructures via an inexpensive, nontoxic and eco-friendly procedure. The nanoparticles were physicochemically characterized using ultraviolet–visible spectroscopy (UV–Vis), Fourier transform infrared spectroscopy (FT-IR), dynamic light scattering (DLS), X-ray diffraction (XRD) and scanning electron microscopy (SEM), with the best stability of up to one year in the solution obtained for silver nanoparticles without any chemical additives. A comparison of the antimicrobial effect of silver/gold nanoparticles and their formulations (hydrogels, ointments, aqueous solutions) showed that both metallic nanoparticles have antibacterial and antibiofilm effects, with silver-based hydrogels having particularly high antibiofilm efficiency. The highest antibacterial and antibiofilm efficacies were obtained against Pseudomonas aeruginosa when using silver nanoparticle hydrogels, with antibiofilm efficacies of over 75% registered. The hydrogels incorporating green nanoparticles displayed a 200% increased bacterial efficiency when compared to the controls and their components. All silver nanoparticle formulations were ecologically obtained by “green synthesis” and were shown to have an antimicrobial effect or potential as keratinocyte-acting pharmaceutical substances for ameliorating infectious psoriasis wounds.
Floral Characterization of Pomegranate Genotypes to Improve Hybridization Efficiency
Authors: Ikram Sufian , Shafqat Waqar , Rehman Sami Ur , Qureshi Muhammad Ahsan , Din Safeer ud , Ikram Salman , Nafees Muhammad , Jaskani Muhammad Jafar
Published: December 2022

Pomegranate (Punica granatum) has staminate (male), androgynous (hermaphrodite), and intermediate flower types. Floral characterization is difficult for breeding efficiency across many pomegranate genotypes in Pakistan, which is essential for pomegranate cultivar enhancements. The present research focused on the floral characterization and breeding efficiency of fifteen pomegranate genotypes. Flower sex ratio, floral morphological parameters, i.e., flower length, ovary width, flower notch, flower tip and stigma with style length, and fruit set percentage were examined during the experiment. In terms of sex ratio, male flowers were found to be higher among all genotypes. Due to clear differences in flower length, width, and heterostyly facilitating visual identification of the hermaphrodite flowers, genotype Ternab-2, Kandhari White, and Kandhari Red had higher fruit set (≥70%) among all cross combinations attempted. Genotype Sava had higher flower length and heterostyly of hermaphrodite flower type, but ovary width was not very distinct, leading to average crossing success (85–34%). In conclusion, single or combination of morphological characters can be used for accurate identification of hermaphrodite flowers, which can improve hybrid efficiency and fruit set after artificial cross-pollination.
Room-Temperature Cholesteric Liquid Crystals of Cellulose Derivatives with Visible Reflection
Authors: Ogiwara Yuki , Suzuki Tatsuya , Iwata Naoto , Furumi Seiichi
Published: December 2022

Hydroxypropyl cellulose (HPC) derivatives with alkanoyl side chains have attracted attention as bio-based cholesteric liquid crystal (CLC) materials with reflection colors. By taking advantage of the ability to change the reflection color in response to external stimuli, the thermotropic CLCs can be applied to a wide variety of photonic devices for a sustainable society of future generations. However, the thermotropic CLCs of HPC derivatives substituted with only one kind of alkanoyl group are not suitable for such applications because they do not exhibit visible reflection at room temperature. In this report, we describe a promising strategy to control the reflection colors of HPC derivatives at room temperature by introducing two kinds of alkanoyl groups with different lengths into the side chains of HPCs, which also enables the fine control of temperature dependence on the reflection wavelength. By chemically optimizing the side chain, we successfully prepared room-temperature thermotropic CLCs of HPC derivatives with visible reflection. This report would contribute toward the development of versatile photonic applications by CLCs produced from biomass.
Convertible Thermal Meta-Structures via Hybrid Manufacturing of Stereolithography Apparatus 3D Printing and Surface Metallization for Thermal Flow Manipulation
Authors: Li Bo , Zhang Jianrui , Deng Tianxiang , Ren Facai
Published: December 2022

For manipulating heat flow according to human desire, thermal metamaterial structures (meta-structures) have attracted growing interest. Based on the transformation thermotics and the effective medium approximation theory, we designed and fabricated a convertible thermal meta-structural device to demonstrate that multiple different heat-flow manipulations could be conducted using a single thermal meta-structural device. The convertible meta-structures were designed by discretizing a two-dimensional plane and separating multiple square unit modules with stripe-shaped dissimilar materials of the Polydimethylsiloxane (PDMS) and solid resin with surface metallized copper (Cu). The convertible thermal meta-structure device with a relatively high geometric accuracy was fabricated via a proposed hybrid manufacturing path of “Stereolithography Apparatus (SLA) 3D printing—electroless plating—electroplating—thermally insulated packaging”. The thermal manipulation features were numerically simulated and preliminarily verified by experimental testing. Using multiple dispersed square unit modules to replace an annular region of the thermal meta-structure exhibited different thermal flow functions, including thermal cloak, thermal concentration, thermal rotation, and thermal dispersion, through the unique geometric design of the heat-flow transfer direction within each module. By rotating each square unit module at a specific angle and arranging the modules, similar to a “jigsaw puzzle”, the convertibility among different thermal manipulation functions was achieved. This path is anticipated to provide a new strategy for multifunctional meta-structures in thermo-physics and its potential engineering applications.
Politics, Poverty and the Church in an ‘Age of Austerity’
Authors: Shannahan Chris , Denning Stephanie
Published: December 2022

The ‘Age of Austerity’ has ruptured the social fabric of contemporary Britain. Arising from our three-year Life on the Breadline project, this article represents the first fieldwork-led analysis of the multidimensional nature of austerity-age poverty by academic theologians in the UK. The article analyses the impact that austerity has had on Christian responses to poverty and inequality in the UK. We draw on our six ethnographic case studies and interview responses from over 120 national and regional Church leaders to exemplify the four approaches to the Christian engagement with poverty that we identified during our research: ‘caring’, ‘campaigning and advocacy’, ‘enterprise’ and ‘community building’. We argue that the Church needs to grasp the systemic, multidimensional and violent nature of poverty in order to realise the potential embedded in its extensive social capital and fulfil its goal of ‘transforming structural injustice’. The paper shows that the Church remains nervous of moving beyond welfare-based responses to poverty and suggests that none of the existing approaches can force poverty into retreat until the Church re-imagines itself as a liberative movement that embodies God’s preferential option for the poor in every aspect of its life and practice.
The Real Cost to Remain Competitive: BYU Confronts Racist Past
Authors: Smith Darron , Martin Lori Latrice
Published: December 2022

College sports is a multi-billion-dollar business, and universities are looking for ways to remain competitive, including recruiting and retaining athletes from historically underrepresented groups to predominantly white institutions (PWI), many of which have a documented history of excluding non-white students, including blacks, indigenous peoples, and other people of color (often referred to as BIPOC). This article will examine the legacy of the racist teachings, past controversies, and compromises of the Church of Jesus Christ of Latter-day Saints (LDS, Mormons) along with persistent struggles to shake off its 130-year-old racist past in efforts for its flagship school, Brigham Young University, to stay competitive in the lucrative Big 12 Athletic Conference. Deeply ingrained in the LDS culture is a politic of religious conservatism. Politics has often been intertwined with organized religion with much influence, and the LDS faith is no different. The cumulation of these interlocking systems generates thoughts, attitudes, and feelings that foster a racial climate at Brigham Young University where black students have reported feeling unsafe and unsupported. While this is a well-documented problem at predominately white institutions (PWIs) across the country, BYU is in many ways unique, given the discriminatory overt policies and practices employed for generations. We contend that the LDS Church’s history of racial marginalization and exclusion of black people made its way into the sports consciousness of the church’s flagship school and is not likely to change anytime soon. Understanding religion in the tradition of Charles Long as an orientation and utilizing Derrick Bell’s notion of racial realism are critical to our analyses. The confluence of politics, religion, race, and sport cannot be easily untangled.
Forest Structure Simulation of Eucalyptus Plantation Using Remote-Sensing-Based Forest Age Data and 3-PG Model
Authors: Zhang Yi , Lu Dengsheng , Jiang Xiandie , Li Yunhe , Li Dengqiu
Published: December 2022

Eucalyptus plantations play an important role in the timber supply and global warming mitigation around the world. Forest age is a critical factor for evaluating and modeling forest structure (e.g., diameter at breast height (DBH), height (H), aboveground carbon stocks (ACS)) and their dynamics. Recently, the spatial distribution of forest age at different scales based on time series remote sensing data has been widely investigated. However, it is unclear whether such data can effectively support the simulation and assessment of forest structure, especially in fast-growing plantation forests. In this study, the physiological principles in predicting growth (3-PG) model was firstly optimized and calibrated using survey and UAV lidar data at the sample plot (SP) scale, and was then applied at the forest sub-compartment (FSC) scale by designing different simulation scenarios driven by different forest age data sources and adjustments. The sensitivity of the simulated forest structure parameters to forest age was assessed at the SP and FSC levels. The results show that both the survey forest age data and the remote-sensing-derived forest age data could accurately estimate the DBH, H, and ACS of eucalyptus plantations with the coefficients of determination (R2) ranging from 0.87 to 0.94, and the relative root mean square error (RRMSE) below 20% at SP level. At the FSC level, the simulation results based on remotely sensed forest age data are significantly better than FSC forest age data from surveys by forestry bureaus, with R2 of ACS 0.7, RMSE 9.12 Mg/ha, and RRMSE 28.24%. The results of the sensitivity analysis show that the DBH, H, and ACS show different degrees of variation under different adjusted forest ages at SP and FSC level. The maximum difference in ACS is 82.91% at the SP scale if the forest age decreases 12 months and 41.23% at the FSC scale if the forest age increases 12 months. This study provides an important reference for future studies using forest age data obtained by remote sensing to drive the forest carbon model in a large spatial scale.
CAE-CNN-Based DOA Estimation Method for Low-Elevation-Angle Target
Authors: Zhao Fangzheng , Hu Guoping , Zhou Hao , Zhan Chenghong
Published: December 2022

For the DOA (direction of arrival) estimation of a low-elevation-angle target under the influence of a multipath effect, this paper proposes a DOA estimation method based on CAE (convolutional autoencoder) and CNN (convolutional neural network). The algorithm firstly inputs the signal covariance matrix of the array of the low-elevation target containing direct and reflected waves into the convolutional autoencoder to realize the de-multipath, and uses the spatial features extracted by the convolutional autoencoder as the input of the extreme learning machine to realize the DOA preclassification of direct waves; based on the preclassification results, one branch of the three parallel convolutional neural nets is selected, and the output of the convolutional autoencoder is used as the input of this branch to realize DOA estimation. The simulation results show that the algorithm has better estimation accuracy and efficiency than the conventional algorithms, especially when the DOA of the target is in the lower range. The analysis of the simulation results shows that the algorithm is effective, in which the convolutional autoencoder can effectively realize the de-multipath, and the use of parallel convolutional neural networks can avoid overfitting and underfitting and realize DOA estimation more accurately.
Bayesian Model Averaging Ensemble Approach for Multi-Time-Ahead Groundwater Level Prediction Combining the GRACE, GLEAM, and GLDAS Data in Arid Areas
Authors: Zhou Ting , Wen Xiaohu , Feng Qi , Yu Haijiao , Xi Haiyang
Published: December 2022

Accurate groundwater level (GWL) prediction is essential for the sustainable management of groundwater resources. However, the prediction of GWLs remains a challenge due to insufficient data and the complicated hydrogeological system. In this study, we investigated the ability of the Gravity Recovery and Climate Experiment (GRACE) satellite data, the Global Land Evaporation Amsterdam Model (GLEAM) data, the Global Land Data Assimilation System (GLDAS) data, and the publicly available meteorological data in 1-, 2-, and 3-month-ahead GWL prediction using three traditional machine learning models (extreme learning machine, ELM; support vector machine, SVR; and random forest, RF). Meanwhile, we further developed the Bayesian model averaging (BMA) by combining the ELM, SVR, and RF models to avoid the uncertainty of the single models and to improve the predicting accuracy. The validity of the forcing data and the BMA model were assessed for three GWL monitoring wells in the Zhangye Basin in Northwest China. The results indicated that the applied forcing data could be treated as validated inputs to predict the GWL up to 3 months ahead due to the achieved high accuracy of the machine learning models (NS > 0.55). The BMA model could significantly improve the performance of the single machine learning models. Overall, the BMA model reduced the RMSE of the ELM, SVR, and RF models in the testing period by about 13.75%, 24.01%, and 17.69%, respectively; while it improved the NS by about 8.32%, 16.13%, and 9.67% for 1-, 2-, and 3-month-ahead GWL prediction, respectively. The uncertainty analysis results also verified the reliability of the BMA model in multi-time-ahead GWL predicting. This highlighted the efficiency of the satellite data, satellite-based data, and publicly available data as substitute inputs in machine-learning-based GWL prediction, particularly for areas with insufficient or missing data. Meanwhile, the BMA ensemble strategy can serve as a powerful and reliable approach in multi-time-ahead GWL prediction when risk-based decision making is needed or a lack of relevant hydrogeological data impedes the application of the physical models.
QuickOSSE Research on the Impact of Airship-Borne Doppler Radar Radial Winds to Predict the Track and Intensity of a Tropical Cyclone
Authors: Feng Jianing , Duan Yihong , Liang Xudong , Sun Wei , Liu Tao , Wang Qian
Published: December 2022

Different from the aircraft TC reconnaissance flight missions before, a tropical cyclone (TC) field campaign project with a Doppler radar equipped on an airship that could hang over on the top of a TC (about 20 km) has been recently carried out in China. To understand the impact of airship-borne radar radial wind observations in TC forecasting, this work conducted quick observation simulation system experiments (QuickOSSE) by assimilating simulated airship-borne Doppler radar radial winds with an Ensemble Kalman Filter (EnKF) algorithm. The results show that airship-borne radial winds assimilation reproduces the forecasted track and minimum sea level pressure of the nature run. The forecast of dynamic and thermodynamic TC structures, such as tangential wind, secondary circulation, and warm core, are also improved. In addition, two determining factors, the radar depression angle (D-ang) and the distance from the airship to the TC center (DIS), are found to primarily affect the forecast of the TC track and intensity, respectively. Benefiting from a larger horizontal coverage, observations under a smaller D-ang improved the track more significantly. Meanwhile, the intensity forecast error with a DIS around the radius of the maximum wind is the smallest among several sensitive experiments, which may because the peak-velocity winds representing the TC’s intensity could be observed by radar. The results are expected to help establish an observational strategy for upcoming airship flight missions in practice.
Reducing the Impact of Influence Factors on the Measurement Results from Single-Coil Eddy Current Sensors
Authors: Borovik Sergey , Kuteynikova Marina , Sekisov Yuriy
Published: December 2022

Single-coil eddy current sensors (SCECS) form a separate and independent branch among the existing eddy current probes. Such sensors are often used for aviation and aerospace applications where the conditions accompanying the measuring process are harsh and even extreme. High temperatures (up to +600 °C in the compressor and over +1000 °C in the turbine of gas turbine engines), the complex shape surfaces of the monitored parts, the multidimensional movement of the power plants’ structural elements, restrictions on the probes number and their placement in the measuring zone are the main factors affecting the reliability and accuracy of the measurement results obtained by the sensors. The article provides an overview of the relevant approaches and methods for reducing the impact of influence factors on the measurement results from SCECS based on the extensive experience of more than 30 years of research and development being carried out in the Institute for the Control of Complex Systems of Russian Academy of Sciences. The scope of the solutions discussed in the article is not limited to SCECS measurement systems only but can also be extended to the systems with primary transducers of other designs or other physical principles.
Coupled Field Analysis of Phenomena in Hybrid Excited Magnetorheological Fluid Brake
Authors: Szelag Wojciech , Jedryczka Cezary , Myszkowski Adam , Wojciechowski Rafal M.
Published: December 2022

The paper presents a field model of coupled phenomena occurring in an axisymmetric magnetorheological brake. The coupling between transient fluid dynamics and electromagnetic and thermal fields as well as mechanical equilibrium equations is taken into account. The magnetic field in the studied brake is of an excited hybrid manner, i.e., by the permanent magnets (PMs) and current Is in the excitation winding. The finite element method and a step-by-step algorithm have been implemented in the proposed field model of coupled phenomena in the considered brake. The nonlinearity of the magnetic circuit and rheological properties of a magnetorheological fluid (MR fluid) as well as the influence of temperature on the properties of materials have been taken into account. To solve equations of the obtained field model, the Newton–Raphson method and the coupled block over-relaxation method have been implemented. The elaborated algorithm has been successfully used in the analysis of the phenomena in the considered magnetorheological brake. The accuracy of the developed model and its usefulness have been verified by a comparative analysis of the results of simulation and laboratory tests carried out for the developed prototype of the studied brake.
Upper Limb Position Tracking with a Single Inertial Sensor Using Dead Reckoning Method with Drift Correction Techniques
Authors: Bai Lu , Pepper Matthew G. , Wang Zhibao , Mulvenna Maurice D. , Bond Raymond R. , Finlay Dewar , Zheng Huiru
Published: December 2022

Inertial sensors are widely used in human motion monitoring. Orientation and position are the two most widely used measurements for motion monitoring. Tracking with the use of multiple inertial sensors is based on kinematic modelling which achieves a good level of accuracy when biomechanical constraints are applied. More recently, there is growing interest in tracking motion with a single inertial sensor to simplify the measurement system. The dead reckoning method is commonly used for estimating position from inertial sensors. However, significant errors are generated after applying the dead reckoning method because of the presence of sensor offsets and drift. These errors limit the feasibility of monitoring upper limb motion via a single inertial sensing system. In this paper, error correction methods are evaluated to investigate the feasibility of using a single sensor to track the movement of one upper limb segment. These include zero velocity update, wavelet analysis and high-pass filtering. The experiments were carried out using the nine-hole peg test. The results show that zero velocity update is the most effective method to correct the drift from the dead reckoning-based position tracking. If this method is used, then the use of a single inertial sensor to track the movement of a single limb segment is feasible.
Plant Growth Monitoring: Design, Fabrication, and Feasibility Assessment of Wearable Sensors Based on Fiber Bragg Gratings
Authors: Lo Presti Daniela , Di Tocco Joshua , Cimini Sara , Cinti Stefano , Massaroni Carlo , D’Amato Rosaria , Caponero Michele A. , De Gara Laura , Schena Emiliano
Published: December 2022

Global climate change and exponential population growth pose a challenge to agricultural outputs. In this scenario, novel techniques have been proposed to improve plant growth and increase crop yields. Wearable sensors are emerging as promising tools for the non-invasive monitoring of plant physiological and microclimate parameters. Features of plant wearables, such as easy anchorage to different organs, compliance with natural surfaces, high flexibility, and biocompatibility, allow for the detection of growth without impacting the plant functions. This work proposed two wearable sensors based on fiber Bragg gratings (FBGs) within silicone matrices. The use of FBGs is motivated by their high sensitivity, multiplexing capacities, and chemical inertia. Firstly, we focused on the design and the fabrication of two plant wearables with different matrix shapes tailored to specific plant organs (i.e., tobacco stem and melon fruit). Then, we described the sensors’ metrological properties to investigate the sensitivity to strain and the influence of environmental factors, such as temperature and humidity, on the sensors’ performance. Finally, we performed experimental tests to preliminary assess the capability of the proposed sensors to monitor dimensional changes of plants in both laboratory and open field settings. The promising results will foster key actions to improve the use of this innovative technology in smart agriculture applications for increasing crop products quality, agricultural efficiency, and profits.
Sensitivity Enhancement of Resistive Ethanol Gas Sensor by Optimized Sputtered-Assisted CuO Decoration of ZnO Nanorods
Authors: Madvar Hadi Riyahi , Kordrostami Zoheir , Mirzaei Ali
Published: December 2022

In this study, sputtered-assisted CuO-decorated ZnO nanorod (NR) gas sensors were fabricated for ethanol gas sensing studies. CuO nanoparticles have been successfully formed on ZnO nanorods by means of a physical process as the decorative metallic element. The amount of decoration affecting the sensor’s performance has been optimized. Cu layers with different thicknesses of 5, 10, and 20 nm were deposited on hydrothermally grown ZnO NRs using the sputtering technique. Upon subsequent annealing, Cu was oxidized to CuO. The gas sensing studies revealed that the sensor with an initial Cu layer of 5 nm had the highest response to ethanol at 350 °C. The sensor also showed good selectivity, repeatability, and long-term stability. The enhanced ethanol sensing response of the optimized gas sensor is related to the formation of p-n heterojunction between p-type CuO and n-type ZnO and the presence of the optimal amount of CuO on the surface of ZnO NRs. The results presented in this study highlight the need for optimizing the amount of Cu deposition on the surface of ZnO NRs in order to achieve the highest response to ethanol gas.
MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information
Authors: Koh En Yan , Cheuk Kin Wai , Heung Kwan Yee , Agres Kat R. , Herremans Dorien
Published: December 2022

Music is capable of conveying many emotions. The level and type of emotion of the music perceived by a listener, however, is highly subjective. In this study, we present the Music Emotion Recognition with Profile information dataset (MERP). This database was collected through Amazon Mechanical Turk (MTurk) and features dynamical valence and arousal ratings of 54 selected full-length songs. The dataset contains music features, as well as user profile information of the annotators. The songs were selected from the Free Music Archive using an innovative method (a Triple Neural Network with the OpenSmile toolkit) to identify 50 songs with the most distinctive emotions. Specifically, the songs were chosen to fully cover the four quadrants of the valence-arousal space. Four additional songs were selected from the DEAM dataset to act as a benchmark in this study and filter out low quality ratings. A total of 452 participants participated in annotating the dataset, with 277 participants remaining after thoroughly cleaning the dataset. Their demographic information, listening preferences, and musical background were recorded. We offer an extensive analysis of the resulting dataset, together with a baseline emotion prediction model based on a fully connected model and an LSTM model, for our newly proposed MERP dataset.
Remote Non-Invasive Fabry-Pérot Cavity Spectroscopy for Label-Free Sensing
Authors: Al Ghamdi Abeer , Dawson Benjamin , Jose Gin , Beige Almut
Published: December 2022

One way of optically monitoring molecule concentrations is to utilise the high sensitivity of the transmission and reflection rates of Fabry-Pérot cavities to changes of their optical properties. Up to now, intrinsic and extrinsic Fabry-Pérot cavity sensors have been considered with analytes either being placed inside the resonator or coupled to evanescent fields on the outside. Here we demonstrate that Fabry-Pérot cavities can also be used to monitor molecule concentrations non-invasively and remotely, since the reflection of light from the target molecules back into the Fabry-Pérot cavity adds upwards peaks to the minima of its overall reflection rate. Detecting the amplitude of these peaks reveals information about molecule concentrations. By using an array of optical cavities, a wide range of frequencies can be probed at once and a unique optical fingerprint can be obtained.
Populism in Times of Spectacularization of the Pandemic: How Populists in Germany and Brazil Tried to ‘Own the Virus’ but Failed
Authors: Resende Erica , Reinke de Buitrago Sybille
Published: December 2022

Populism has been at the center of recent debates in political science and international relations scholarship. Recognized as a contested concept and framed as a new global phenomenon, populism emerged in the context of liberal democracies, where political actors inflate social antagonisms by putting the people against the elite. Facing a global health crisis where a sense of threat, uncertainty, and emergency has pushed normal politics into the realm of politics of crisis, populists have actively engaged in creating a spectacularization of failure—of science, institutions, experts, governments—vis-à-vis the new Coronavirus, and in creating doubts about and devaluing scientists, experts and governments. Issues such as mask mandates, lockdown measures, compulsory vaccination, medicine effectiveness, and vaccine certificates became politicized. That is, they have been taken from normal politics and made contingent and controversial in order to deepen already existing political divisions and polarization. Exploring the case of Germany and Brazil, we will show how populists tried to use the pandemic to forge divisions between the people and the elite (represented by scientists, health experts, and the press). This conceptual-empirical paper wishes to make a contribution to the debate on how populists brought scientific public health issues into their black-and-white, antagonistic vision of society and hence instrumentalized COVID-19 for their own political gain.
Renewable Energy Pathways toward Accelerating Hydrogen Fuel Production: Evidence from Global Hydrogen Modeling
Authors: Karmaker Shamal Chandra , Chapman Andrew , Sen Kanchan Kumar , Hosan Shahadat , Saha Bidyut Baran
Published: December 2022

Fossil fuel consumption has triggered worries about energy security and climate change; this has promoted hydrogen as a viable option to aid in decarbonizing global energy systems. Hydrogen could substitute for fossil fuels in the future due to the economic, political, and environmental concerns related to energy production using fossil fuels. However, currently, the majority of hydrogen is produced using fossil fuels, particularly natural gas, which is not a renewable source of energy. It is therefore crucial to increase the efforts to produce hydrogen from renewable sources, rather from the existing fossil-based approaches. Thus, this study investigates how renewable energy can accelerate the production of hydrogen fuel in the future under three hydrogen economy-related energy regimes, including nuclear restrictions, hydrogen, and city gas blending, and in the scenarios which consider the geographic distribution of carbon reduction targets. A random effects regression model has been utilized, employing panel data from a global energy system which optimizes for cost and carbon targets. The results of this study demonstrate that an increase in renewable energy sources has the potential to significantly accelerate the growth of future hydrogen production under all the considered policy regimes. The policy implications of this paper suggest that promoting renewable energy investments in line with a fairer allocation of carbon reduction efforts will help to ensure a future hydrogen economy which engenders a sustainable, low carbon society.
Evaluation of the Performance of the Electrocoagulation Process for the Removal of Water Hardness
Authors: Medina-Collana Juan Taumaturgo , Reyna-Mendoza Gladis Enith , Montaño-Pisfil Jorge Alberto , Rosales-Huamani Jimmy Aurelio , Franco-Gonzales Elmar Javier , Córdova García Xavier
Published: December 2022

One of the biggest problems of water with high concentrations of calcium is its susceptibility to causing scaling in industrial equipment (boilers, heat exchangers, pipes, reverse osmosis membranes, storage tanks, etc.). The purpose of this study was to evaluate a recently built filter press (EC) type electrocoagulation reactor and investigate the efficiency of water hardness removal. The electrocoagulation (EC) reactor has been evaluated in batch mode using electrodes of aluminum (Al) and connected to a direct current power supply in a monopolar way. To evaluate the performance of the reactor, a synthetic solution with a concentration similar to that of brackish water was used. A factorial design was applied to investigate the influence of the electrical potential applied to the electrocoagulation cell at the levels of 3, 5, 7, and 9 V, and initial calcium hardness of 540.2 and 914.60 mg/L CaCO3 at room temperature in 60 treatment minutes. The results revealed that the electrical potential applied to the electrocoagulation cell was the most significant factor in hardness removal, within the experimental ranges studied. The results showed that electrocoagulation at an electric potential applied at 9 volts and an initial concentration of 7400 mg/L allowed a higher hardness removal efficiency (25.83%). the pH of the solution increased throughout the process. The energy consumption ranged between 4.43 and 42 kW.h/m3 depending on the conditions of the factors. It has been shown that during the treatment process a layer of dense and compact calcium carbonate precipitate is formed on the surface of the cathode.
Native Rhizospheric Microbes Mediated Management of Biotic Stress and Growth Promotion of Tomato
Authors: Sachdev Swati , Bauddh Kuldeep , Singh Rana Pratap
Published: December 2022

The incidence of biotic perturbation in plants has been amplified due to increased resistance and the resurgence of pathogens. To mitigate stress and promote food production, agrochemicals are being used boundlessly and they have augmented the problem of disease re-occurrence and agroecosystem degradation. With the perception of urgency to reduce biotic stress sustainably, the present study was undertaken. Four native rhizospheric microbes: Trichoderma lixii, T. brevicompactum and two strains of Bacillus subtilis, were evaluated for their antagonistic potential toward soil-borne and foliar pathogens of tomato under pot conditions. The data obtained revealed T. lixii as the most effective isolate, which substantially reduced the disease severity and promoted plant growth. In two consecutive pot experiments, T. lixii was observed to reduce the fusarium wilt and early blight severity by 32% and 31%; and 30% and 25%, respectively, compared to the untreated control. Moreover, T. lixii was reported to colonize the plant roots, which was evident from the result obtained for biofilm formation and spores colonization on root cells. TvR1 also improved the photosynthetic content of both infected and non-infected plants. The conclusion drawn from the result suggested that the native microbial rhizospheric isolate T. lixii was effective in ameliorating the biotic stress, which might be due to root colonizing ability, and therefore, it could be designed into a bioinoculant for green agriculture.
Spatial Distribution Characteristics of Public Fitness Venues: An Urban Accessibility Perspective
Authors: Jiang Yong , Liu Yangyang , Liu Zelei , Wang Chunwei , Shi Zhipeng , Zhao Hongbo , Sun Dongqi , Sun Wei , Wang Xiangquan
Published: December 2022

In the context of healthy China, the study of the spatial distribution characteristics of urban sports venues is not only beneficial to planning the construction of sports venues in cities, but also to the health protection of urban residents. Therefore, to promote a fair and scientific approach to constructing public fitness sites in the city and meet the needs of urban residents’ fitness activities, this study targeted public fitness sites larger than 10 m2 in the main urban area of Jinan City to study spatial distribution characteristics and accessibility. We combine the traffic road network and other data and use spatial and buffer zone analyses to assess the sites from the perspective of different travel modes of urban residents. The results show that the public fitness venues in the main urban area are mainly concentrated centrally; there is no significant pattern between the construction of venue area and population. For the time range of 0–15 min, Lixia District has the highest ratio of public fitness venue service area for walking, cycling, and car travel, with 22.54%, 62.25%, and 100%, respectively, and Changqing District has the lowest. In terms of travel mode, the highest service area ratio is 62.7% for car travel, followed by 28.7% for cycling, and 7.7% for walking. It is concluded that the construction of public fitness venues in Jinan has an unbalanced layout, does not fully consider the population factor, and different modes of travel have a significant impact on accessibility. It is therefore suggested that the government should increase public fitness venue construction in the areas surrounding the main city; moreover, future planning of urban public fitness venues should fully consider the distribution characteristics of population quantity and age in each area. Finally, the main travel mode characteristics of urban residents should also be considered to promote the future scientific development of urban public fitness venue construction.
A Comparison of the Autonomous Use of Technology for Language Learning for EFL University Students of Different Proficiency Levels
Authors: Yu Li-Tang
Published: December 2022

Different aspects of second-language learners’ autonomous use of technology for language learning have been investigated and its positive effects on language learning have been reported. However, there is a paucity of research on whether language learners’ different proficiency levels are associated with their perceptions of their own autonomous use of technology-enhanced language learning (TELL). Therefore, this study examines the autonomous use of TELL outside the English classes of English learners of different proficiency levels. Ninety-nine EFL college students (47 of lower proficiency and 52 of higher proficiency) in northern Taiwan took a survey on the autonomous use of TELL. The results demonstrated that students’ proficiency levels did not relate to the involvement of autonomous use of technology for language learning. Nearly one-third of all students did not take on autonomous English learning via technology outside class. The students in both groups tended towards more receptive-skill English learning activities than productive-skill activities in their autonomous use of technology, whereas the students of higher proficiency attended more productive-skill activities than those of lower proficiency. In order for students to benefit from the autonomous use of technology for language learning, proper support and guidance from instructors are crucial.
Social Well-Being for a Sustainable Future: The Influence of Trust in Big Business and Banks on Perceptions of Technological Development from a Life Satisfaction Perspective in Latin America
Authors: López-Concepción Arelys , Gil-Lacruz Ana , Saz-Gil Isabel , Bazán-Monasterio Víctor
Published: December 2022

Sustainable development is becoming increasingly important because it improves the quality of our lives. Businesses must focus beyond maximizing corporate economic profits, which are very important. They must internalize the fact that planning and governance-oriented strategies focused on promoting human health and well-being ensure a sustainable future. This study explores the influence exerted by trust in large companies and banks on the perception that technological development has on people’s life satisfaction. The research uses data from the World Value Survey (WVS) and the World Bank, contemplating six Latin American countries: Argentina, Brazil, Chile, Colombia, Mexico and Peru, in the period between 2012 and 2018. Our main results show that the lower the trust in institutions, the stronger the negative association with perceiving science and technology as making life easier, healthier and more comfortable in the near future. We also confirm that people who have very high levels of national pride tend to trust institutions. We also confirm that people who have very high levels of national pride tend to trust institutions. Finally, with this work, we contribute new empirical evidence to the current field of research on the influence of technological development on issues related to human beings, specifically in Latin America.