bluuebunny/crossref_metadata_2025 huggingface dataset:
Genetic Inheritance of Stripe Rust (Puccinia Striiformis) Resistance in Bread Wheat Breeding Lines at Seedling and Maturity Stages
Authors: Saleem Saira , Kashif Muhammad , Maqbool Rizwana , Ahmed Nisar , Arshad Rubina
Published: June 2022

One hundred and five (105) bread wheat (Triticum aestivum L.) genotypes, including five commercial checks, were screened for stripe rust resistance at seedling and adult plant stages. Seedlings grown under controlled conditions were screened for disease resistance after 12 days concerning disease incidence percentage after inoculation. K-means cluster analysis divided the genotypes into five different classes according to the presence of virulence/avirulence profile, i.e., class 1, 2, 3, 4 and 5. The same set of genotypes was grown under field conditions for adult plant resistance. Data for disease scoring and different yield and yield-related parameters was recorded. A comparison of breeding lines indicated that all studied traits were negatively affected by disease incidence. Further cluster analysis ranked the genotypes into three distinct groups with Group I and III being the most diverse. Thirteen stripe rust resistance lines were identified using seedling and adult plant resistance strategies. Correlation analysis indicated a negative association between stripe rust incidence and yield and yield-related traits, particularly grains per spike, grain weight per spike, thousand-grain weight, and grain yield per plant. These findings suggested that stripe rust resistance negatively affects yield and yield related traits. The breeding programs aiming at the development of high yielding varieties must also focus on stripe rust resistance.
Proteomic Analysis Reveals Salicylic Acid as a Pivotal Signal Molecule in Rice Response to Blast Disease Infection
Authors: Zhou Haiying , Hwarari Delight , Zhang Yunhui , Mo Xiaosong , Luo Yuming , Ma Hongyu
Published: June 2022

Rice blast disease caused by a fungus, Magnaporthe grisea, is one of the most destructive diseases in rice production worldwide, and salicylic acid (SA) can efficiently decrease the damage of M. grisea. Here, we combined the 2-Dimensional-Liquid Chromatography and the Matrix-assisted laser desorption/ionization time-of-flight mass spectrometer (2D-LC-MALDI-TOF-TOF MS) techniques to compare and identify differentially expressed labelled proteins by the isobaric tags for relative and absolute quantitation (iTRAQ) between the blast-resistant cultivar Minghui and the susceptible rice cultivar Nipponbare in response to blast fungus infection. The group samples were treated with salicylic acid and compared to control samples. A total of 139 DEPs from the two cultivars showed either more than a two-fold change or alternating regulation patterns. Protein functionality analysis also exhibited that these proteins are involved in a wide range of molecular functions including: energy-related activity (30%), signal transduction (11%), redox homeostasis (15%), amino acid and nitrogen metabolism (4%), carbohydrate metabolism (5%), protein folding and assembly (10%), protein hydrolysis (9%), protein synthesis (12%), and other unknown functions (4%). Specifically, we demonstrated that exogenous treatment with salicylic acid promoted recovery in both rice cultivars from Magnaporthe grisea infection by enhancing: the regulation of signal transduction, increasing energy conversion and production through the regulation of the glycolytic pathway, and other various biochemical processes. These findings may facilitate future studies of the molecular mechanisms of rice blast resistance.
Approaches to Improve Macromolecule and Nanoparticle Accumulation in the Tumor Microenvironment by the Enhanced Permeability and Retention Effect
Authors: Ejigah Victor , Owoseni Oluwanifemi , Bataille-Backer Perpetue , Ogundipe Omotola D. , Fisusi Funmilola A. , Adesina Simeon K.
Published: June 2022

Passive targeting is the foremost mechanism by which nanocarriers and drug-bearing macromolecules deliver their payload selectively to solid tumors. An important driver of passive targeting is the enhanced permeability and retention (EPR) effect, which is the cornerstone of most carrier-based tumor-targeted drug delivery efforts. Despite the huge number of publications showcasing successes in preclinical animal models, translation to the clinic has been poor, with only a few nano-based drugs currently being used for the treatment of cancers. Several barriers and factors have been adduced for the low delivery efficiency to solid tumors and poor clinical translation, including the characteristics of the nanocarriers and macromolecules, vascular and physiological barriers, the heterogeneity of tumor blood supply which affects the homogenous distribution of nanocarriers within tumors, and the transport and penetration depth of macromolecules and nanoparticles in the tumor matrix. To address the challenges associated with poor tumor targeting and therapeutic efficacy in humans, the identified barriers that affect the efficiency of the enhanced permeability and retention (EPR) effect for macromolecular therapeutics and nanoparticle delivery systems need to be overcome. In this review, approaches to facilitate improved EPR delivery outcomes and the clinical translation of novel macromolecular therapeutics and nanoparticle drug delivery systems are discussed.
The Influence of Polycaprolactone on Structural Changes of Dusts from Molding Sands with Resin-Based Binder before and after the Biodegradation Process
Authors: Major-Gabryś Katarzyna , Stachurek Iwona , Hosadyna-Kondracka Małgorzata , Homa Marta
Published: June 2022

Resin-based binders are one of the main materials used in foundry molding and core sands. This work adds to the research on self-curing sands with furfuryl resin, which dominates in the production of large-size castings. The work concerns the possibility of using biodegradable polymers as a component of resin-based binders. Biodegradable or partially biodegradable polymers are a group of materials which have an increasing level of importance in many areas of life and technology. This is mainly due to the increase in waste deposited in landfills, water and soil. This problem also concerns waste from the casting production process with the use of disposable molds with resin-based binders, which are mainly residues from their mechanical regeneration process. The aim of the research presented in this paper was to determine the effect of polycaprolactone (PCL) on the structure of post-regeneration dust from molding sands before and after the biodegradation process carried out in a water environment. Structure studies were carried out by Fourier transform infrared spectroscopy (FTIR) and the changes in the mass by TG/DTA-QMS analysis. The article also presents the results of the research of the morphology carried out by scanning electron microscopy (SEM) and the chemical oxygen demand index (COD) in water extracts of dust samples.
The Elastic Modulus and Damage Stress–Strain Model of Polypropylene Fiber and Nano Clay Modified Lime Treated Soil under Axial Load
Authors: Wang Zhichao , Zhang Weiqing , Jiang Ping , Li Cuihong
Published: June 2022

Using polypropylene fiber (PPF) and nano clay modified lime treated soil (LS), the static and dynamic properties of fiber modified lime treated soil (FLS), nano clay modified lime treated soil (NLS), and fiber nano clay composite modified lime treated soil (NFLS) were studied. Through the unconfined compressive strength (UCS) test and dynamic triaxial test of FLS, NLS, and NFLS, the static and dynamic elastic modulus characteristics at 7 day curing age were explored, and the damage stress–strain model was established. The results show that: (1) Polypropylene fiber and nano clay can significantly enhance the mechanical properties of NFLS. Nano clay can promote the reaction between lime and soil to produce calcium silicate hydrate (C-S-H) and calcium aluminate hydrate (C-A-H), thus improving the strength of NFLS, and UCS can be increased by up to 103%. Polypropylene fiber can enhance the ductility of NFLS and increase the residual ductility strength, and the residual strength can be increased by 827%. (2) Nano clay can enhance the static and dynamic elastic modulus of modified lime treated soil. The static and dynamic elastic modulus of NLS, FLS, and NFLS are linear with the change of polypropylene fiber and nano clay content. The static and dynamic elastic modulus of NLS, FLS, and NFLS are linear, exponential, and logarithmic, respectively. (3) The mesoscopic random damage model can characterize the stress–strain relationship of NFLS. Polypropylene fiber and nano clay can improve the ductility and strength of modified LS, and the composite addition of polypropylene fiber and nano clay can improve the ability of modified LS to resist damage.
Influence of Thermal Annealing Temperatures on Powder Mould Effectiveness to Avoid Deformations in ABS and PLA 3D-Printed Parts
Authors: Lluch-Cerezo Joaquín , Meseguer María Desamparados , García-Manrique Juan Antonio , Benavente Rut
Published: June 2022

Fused deposition modelling (FDM)-printed parts can be treated with various post-processes to improve their mechanical properties, dimensional accuracy and surface finish. Samples of polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS) parts are treated with annealing to study a ceramic powder mould’s effectiveness in order to avoid dimensional part deformation. The variables chosen are annealing temperatures and the usage of a ceramic powder mould to avoid part deformations. A flexural strength test was carried out to evaluate the mould’s influence on the mechanical properties of the part. The effectiveness of the mould has been evaluated mainly attending to the length of the part, because this is the dimension most affected by deformation. A polynomial approximation to a deformation’s length and the effectiveness of the mould allows for their prediction. Results obtained show that effectiveness increases with the annealing temperature. Nevertheless, mould effectiveness decreases when parts are fabricated with PLA, because it is a semi-crystalline thermoplastic, and it suffers a lower shrinkage during thermal post-process than amorphous polymers such as ABS. Attending to the flexural strength test, mould has no significant influence on the mechanical properties of the treated parts in both materials studied.
Immobilization of Horseradish Peroxidase on Magnetite-Alginate Beads to Enable Effective Strong Binding and Enzyme Recycling during Anthraquinone Dyes’ Degradation
Authors: Jonović Marko , Jugović Branimir , Žuža Milena , Đorđević Verica , Milašinović Nikola , Bugarski Branko , Knežević-Jugović Zorica
Published: June 2022

The aim of this study was to investigate covalent immobilization of horseradish peroxidase (HRP) on magnetic nanoparticles (Mag) encapsulated in calcium alginate beads (MABs) for color degradation, combining easy and fast removal of biocatalyst from the reaction mixture due to its magnetic properties and strong binding due to surface alginate functional groups. MABs obtained by extrusion techniques were analyzed by optical microscopy, FEG-SEM and characterized regarding mechanical properties, magnetization and HRP binding. HRP with initial concentration of 10 mg/gcarrier was successfully covalently bonded on MABs (diameter ~1 mm, magnetite/alginate ratio 1:4), with protein loading of 8.9 mg/gcarrier, immobilization yield 96.9% and activity 32.8 U/g. Immobilized HRP on MABs (HRP-MABs) was then used to catalyze degradation of two anthraquinonic dyes, Acid Blue 225 (AB225) and Acid Violet 109 (AV109), as models for wastewater pollutants. HRP-MABs decolorized 77.3% and 76.1% of AV109 and AB225, respectively after 15 min under optimal conditions (0.097 mM H2O2, 200 mg of HRP-MABs (8.9 mg/gcarrier), 0.08 and 0.1 g/mg beads/dye ratio for AV109 and AB225, respectively). Biocatalyst was used for 7 repeated cycles retaining 75% and 51% of initial activity for AB225 and AV109, respectively, showing potential for use in large scale applications for colored wastewater treatment.
Myanmar’s Coup d’état and the Struggle for Federal Democracy and Inclusive Government
Authors: King Anna S.
Published: June 2022

This article reviews the first twelve months of the civil disobedience movement in Myanmar following the 1 February 2021 coup d’état and its many dynamics and manifestations. Myanmar’s ‘Spring Revolution’ generated a shared sense of national unity—overcoming gender, ethnic, religious and class boundaries, but raising questions about the long-term sustainability of nonviolent civil resistance in a state where the military has for decades wielded political and economic power. Since the coup, Myanmar has been in turmoil, paralysed by instability which escalated after the military’s deadly crackdown on pro-democracy activists. The article charts the growth of the Civil Disobedience Movement (CDM), its multiple methods of strategic resistance and non-cooperation, and the radicalisation of the resistance agenda. It analyses the formation of the Committee Representing the Pyidaungsu Hluttaw (CRPH), the creation of the interim National Unity Government (NUG), the founding of the National Unity Consultative Council (NUCC) and the inauguration of the People’s Defence Force (PDF). It examines the implications for Myanmar when the crisis reached a more complex phase after the military’s open use of force and terror on the broader civilian population prompted the NUG to declare war on the junta, and to urge ethnic armed organisations (EAOs) and newly formed anti-junta civilian militias (PDF) to attack the State Administration Council (SAC) as a terrorist organisation. The NUG now opposes the military junta by strategic and peaceful non-cooperation, armed resistance, and international diplomacy. This paper considers whether the predominantly nonviolent civil resistance movement’s struggle for federal democracy and inclusive governance is laying the foundations for eventual transition to a fully democratic future or whether the cycles of violence will continue as the military continues to control power by using intimidation and fear. It notes that the coup has destroyed the economy and expanded Myanmar’s human rights and humanitarian crises but has also provided the opportunity for Myanmar’s people to explore diverse visions of a free, federal, democratic and accountable Myanmar. It finally examines the possibilities for future peaceful nation building, reconciliation, and the healing of the trauma of civil war.
Settlement Prediction of Reclaimed Coastal Airports with InSAR Observation: A Case Study of the Xiamen Xiang’an International Airport, China
Authors: Xiong Zhiqiang , Deng Kailiang , Feng Guangcai , Miao Lu , Li Kaifeng , He Chulu , He Yuanrong
Published: June 2022

Many coastal cities reclaim land from the sea to meet the rapidly growing demand for land caused by population growth and economic development. Settlement in reclaimed land may delay construction and even damage infrastructures, so accurately predicting the settlement over reclaimed areas is important. However, the limited settlement observation and ambiguous final settlement estimation affect accurate settlement prediction in traditional methods. This study proposes a new strategy to solve these problems by using the Multitemporal Interferometric Synthetic Aperture Radar (MT-InSAR) method and takes the Xiamen Xiang’an International Airport, built on reclaimed land, as an example. The MT-InSAR is adopted to process the Sentinel-1 images to obtain the settlement history of the study area. The results show that settlement mainly occurs in the reclaimed areas, with the maximum average settlement rate exceeding 40 mm/y. We use the statistical properties of curve fitting to choose the best curve model from several candidate curve models to predict the settlement time series. The Asaoka method is used to identify the critical state between settlement and stability. We predict the consolidation time of the whole study area and reveal that the deformation rate is positively correlated with the consolidation time. The maximum remaining settlement time is over ten years since 24 December 2019. Therefore, manual compaction operations can be carried out to speed up settlement in the areas that need a long time to consolidate. The proposed method can be used to predict the settlement of similar reclaimed areas, and the predicted results can provide a reference for engineering construction.
Influence of Terrestrial Water Storage on Flood Potential Index in the Yangtze River Basin, China
Authors: Yang Peng , Wang Wenyu , Zhai Xiaoyan , Xia Jun , Zhong Yulong , Luo Xiangang , Zhang Shengqing , Chen Nengcheng
Published: June 2022

In a changing environment, changes in terrestrial water storage (TWS) in basins have a significant impact on potential floods and affect flood risk assessment. Therefore, we aimed to study the impact of TWS on potential floods. In this study, we reconstructed the TWS based on precipitation and temperature, evaluated the reconstructed TWS data based on Gravity Recovery and Climate Experiment (GRACE)-TWS data, and analyzed and calculated the flood potential index (FPI) in the Yangtze River Basin (YRB). The related influencing factors were analyzed based on the Global Land Data Assimilation System (GLDAS) data and Granger’s causality test. The main conclusions are as follows: (1) although the GRACE-TWS anomaly (GRACE-TWSA) in the YRB showed an increasing trend for the averaged TWSA over all grids in the whole basin (i.e., 0.31 cm/a, p < 0.05), the variable infiltration capacity-soil moisture anomalies (VIC-SMA) showed a decreasing trend (i.e., −0.048 cm/a, p > 0.05) during April 2002–December 2019; (2) a larger relative contribution of detrended precipitation to FPI was found in the Jialingjiang River Basin (JRB), Wujiang River Basin (WRB), Dongting Lake Rivers Basin (DLRB), YinBin-Yichang reaches (YB-YC), and Yichang-Hukou reaches (YC-HK), while the contribution of detrended TWS to FPI in the Poyang Lake Rivers Basin (PLRB) was larger than that in other basins; and (3) the original and detrended soil moisture (SM) and TWS in the YRB showed a significant positive correlation (p < 0.05), while the significant effect of SM on TWS caused a change in FPI in the YRB and its sub-basins. This study is of great significance for the correct understanding of the FPI and the accurate assessment of flood risk.
Vehicle Target Detection Network in SAR Images Based on Rectangle-Invariant Rotatable Convolution
Authors: Li Lu , Du Yuang , Du Lan
Published: June 2022

In recent years, convolutional neural network (CNN)-based methods have been extensively explored for synthetic aperture radar (SAR) target detection. Nevertheless, the convolutional sampling locations of CNNs cannot accurately fit vehicle targets due to the fixed sampling mechanism in the convolutional kernel. In this paper, we focus on the vehicle target detection task in SAR images and propose a novel rectangle-invariant rotatable convolution (RIRConv) to determine more accurately the convolutional sampling locations for vehicle targets. Specifically, this paper considers the shape characteristic of vehicle targets in SAR images, which always retain a rectangular shape despite having varying sizes, aspect ratios, and rotation angles. The proposed RIRConv equips three additional learnable attribute parameters, namely, width, height, and angle attributes, to adaptively adjust the sampling locations in the convolutional kernel according to the targets. In addition, the RIRConv applies a modulation mechanism to focus on the sampling locations that significantly affect the output. Finally, the RIRConv is introduced into the single-shot multibox detector (SSD) to realize SAR vehicle target detection. In this way, the feature representation capability of SSD for vehicle targets can be enhanced, thus leading to higher detection performance. Notably, the proposed RIRConv is “plug-and-play” and can also be used with other existing advanced technologies to achieve higher detection performance. The experiments based on the measured miniSAR data validate the effectiveness of the proposed method.
Application of LISA Gravitational Reference Sensor Hardware to Future Intersatellite Geodesy Missions
Authors: Weber William Joseph , Bortoluzzi Daniele , Bosetti Paolo , Consolini Gabriel , Dolesi Rita , Vitale Stefano
Published: June 2022

Like gravitational wave detection, inter-spacecraft geodesy is a measurement of gravitational tidal accelerations deforming a constellation of two or more orbiting reference test masses (TM). The LISA TM system requires TM in free fall with residual stray accelerations approaching the fm/s2/Hz1/2 level in the mHz band, as demonstrated in the LISA Pathfinder “Einstein’s geodesic explorer” mission. Current geodesy missions are limited by accelerometers with 100 pm/s2/Hz1/2 level, due to intrinsic design limitations, as well as the challenging low Earth orbit environment and operating conditions. A reduction in the TM acceleration noise could lead to an important improvement in the scientific return of future geodesy missions focusing on mass change, especially in a scenario with multiple pairs of geodesy satellites. We present here a preliminary assessment of how the LISA TM system, known as the “gravitational reference sensor” (GRS), could be adapted for use in future geodesy missions aiming at residual TM accelerations noise at the pm/s2/Hz1/2 level, addressing the major design issues and performance limitations. We find that such a performance is possible in a geodesy GRS that is simpler and smaller than that used for LISA, with a lighter, sub-kg TM and gaps reduced from 4 mm to less than 1 mm. Acceleration noise performance limitations will likely be closely tied to the required levels of applied actuation forces on the TM.
Remote Estimation of Water Clarity and Suspended Particulate Matter in Qinghai Lake from 2001 to 2020 Using MODIS Images
Authors: Tan Zhenyu , Cao Zhigang , Shen Ming , Chen Jun , Song Qingjun , Duan Hongtao
Published: June 2022

Climate change and human activities have been heavily affecting oceanic and inland waters, and it is critical to have a comprehensive understanding of the aquatic optical properties of lakes. Since many key watercolor parameters of Qinghai Lake are not yet available, this paper aims to study the spatial and temporal variations of the water clarity (i.e., Secchi-disk depth, ZSD) and suspended particulate matter concentration (CSPM) in Qinghai Lake from 2001 to 2020 using MODIS images. First, the four atmospheric correction models, including the NIR–SWIR, MUMM, POLYMER, and C2RCC were tested. The NIR–SWIR with decent accuracy in all bands was chosen for the experiment. Then, four existing models for ZSD and six models for CSPM were evaluated. Two semi-analytical models proposed by Lee (2015) and Jiang (2021) were selected for ZSD (R2 = 0.74) and CSPM (R2 = 0.73), respectively. Finally, the distribution and variation of the ZSD and CSPM were derived over the past 20 years. Overall, the water of Qinghai Lake is quite clear: the monthly mean ZSD is 5.34 ± 1.33 m, and CSPM is 2.05 ± 1.22 mg/L. Further analytical results reveal that the ZSD and CSPM are highly correlated, and the relationship can be formulated with ZSD=8.072e−0.212CSPM (R2 = 0.65). Moreover, turbid water mainly exists along the edge of Qinghai Lake, especially on the northwestern and northeastern shores. The variation in the lakeshore exhibits some irregularity, while the main area of the lake experiences mild water quality deterioration. Statistically, 81.67% of the total area is dominated by constantly increased CSPM, and the area with decreased CSPM occupies 4.56%. There has been distinct seasonal water quality deterioration in the non-frozen period (from May to October). The water quality broadly deteriorated from 2001 to 2008. The year 2008 witnessed a sudden distinct improvement, and after that, the water quality experienced an extremely inconspicuous degradation. This study can fill the gap regarding the long-time monitoring of water clarity and total suspended matter in Qinghai Lake and is expected to provide a scientific reference for the protection and management of the lake.
RNN-Based Sequence to Sequence Decoder for Run-Length Limited Codes in Visible Light Communication
Authors: Luo Xu , Yang Haifen
Published: June 2022

Unmanned aerial vehicles (UAVs) equipped with visible light communication (VLC) technology can simultaneously offer flexible communications and illumination to service ground users. Since a poor UAV working environment increases interference sent to the VLC link, there is a pressing need to further ensure reliable data communications. Run-length limited (RLL) codes are commonly utilized to ensure reliable data transmission and flicker-free perception in VLC technology. Conventional RLL decoding methods depend upon look-up tables, which can be prone to erroneous transmissions. This paper proposes a novel recurrent neural network (RNN)-based decoder for RLL codes that uses sequence to sequence (seq2seq) models. With a well-trained model, the decoder has a significant performance advantage over the look-up table method, and it can approach the bit error rate of maximum a posteriori (MAP) criterion-based decoding. Moreover, the decoder is use to deal with multiple frames simultaneously, such that the totality of RLL-coded frames can be decoded by only one-shot decoding within one time slot, which is able to enhance the system throughput. This shows our decoder’s great potential for practical UAV applications with VLC technology.
Using Vis-NIR Spectroscopy for Predicting Quality Compounds in Foods
Authors: del Río Celestino Mercedes , Font Rafael
Published: June 2022

Over the past four decades, near-infrared reflectance spectroscopy (NIRS) has become one of the most attractive and used technique for analysis as it allows for fast and simultaneous qualitative and quantitative characterization of a wide variety of food samples [...]
Metal Surface Defect Detection Method Based on TE01 Mode Microwave
Authors: Shi Meng , Yang Lijian , Gao Songwei , Wang Guoqing
Published: June 2022

With the aim of addressing the difficulty of detecting metal surface cracks and corrosion defects in complex environments, we propose a detection method for metal surface cracks and corrosion defects based on TE01-mode microwave. The microwave detection equations of cracks and corrosion defects were established by the Maxwell equations when the TE01 mode was excited by microwaves, and the relationship model between the defect size and the microwave characteristic quantity was established. A finite integral simulation model was established to analyze the influence of defects on the microwave electric field, magnetic field, and tube wall current in the rectangular waveguide, as well as the return loss at the defect; an experimental platform for the detection of metal surface cracks and corrosion defects was built. The absolute value of the return loss of the microwave reflected wave increased, and with the increase of the defect width, the microwave detection frequency at the defect decreased. The TE01-mode microwave has good detection ability for metal surface cracks and corrosion defects and can effectively detect cracks with a width of 0.3 mm.
Enabling Fog–Blockchain Computing for Autonomous-Vehicle-Parking System: A Solution to Reinforce IoT–Cloud Platform for Future Smart Parking
Authors: Shahzad Aamir , Gherbi Abdelouahed , Zhang Kaiwen
Published: June 2022

With the advent of modern technologies, including the IoT and blockchain, smart-parking (SP) systems are becoming smarter and smarter. Similar to other automated systems, and particularly those that require automation or minimal interaction with humans, the SP system is heuristic in delivering performances, such as throughput in terms of latency, efficiency, privacy, and security, and it is considered a long-term cost-effective solution. This study looks ahead to future trends and developments in SP systems and presents an inclusive, long-term, effective, and well-performing smart autonomous vehicle parking (SAVP) system that explores and employs the emerging fog-computing and blockchain technologies as robust solutions to strengthen the existing collaborative IoT–cloud platform to build and manage SP systems for autonomous vehicles (AVs). In other words, the proposed SAVP system offers a smart-parking solution, both indoors and outdoors, and mainly for AVs looking for vacant parking, wherein the fog nodes act as a middleware layer that provides various parking operations closer to IoT-enabled edge devices. To address the challenges of privacy and security, a lightweight integrated blockchain and cryptography (LIBC) module is deployed, which is functional at each fog node, to authorize and grant access to the AVs in every phase of parking (e.g., from the parking entrance to the parking slot to the parking exit). A proof-of-concept implementation was conducted, wherein the overall computed results, such as the average response time, efficiency, privacy, and security, were examined as highly efficient to enable a proven SAVP system. This study also examined an innovative pace, with careful considerations to combatting the existing SP-system challenges and, therefore, to building and managing future scalable SP systems.
Device for Identifying the UV Emission Spectrum
Authors: Kovács Robert Jenő , Kovács Jenő-Zoltán , Szolga Lorant Andras
Published: June 2022

Nowadays, the disinfection of classrooms, shopping malls, and offices has become an important part of our lives. One of the most effective disinfection methods is ultraviolet (UV) radiation. To ensure the disinfection device has the required wavelength spectrum, we need to measure it with dedicated equipment. Thus, in this work, we present the development of a UV spectrum detector capable of identifying UV wavelength spectrums, with a wide range of probes and the ability to transmit data to a PC for later evaluation of the results. The device was developed with four UV sensors: one for UV-A, one for UV-B, one for UV-C, and one with a wide range of detection of UVA, with a built-in transimpedance amplifier. An Arduino Nano development board processes all the acquired data. We developed a custom light source containing seven UV LEDs with different central wavelengths to calibrate the device. For easy visualization of the results, custom PC software was developed in the Processing programming medium. For the two pieces of electronics—the UV detector and calibration device—3D-printed housings were created to be ergonomic for the end-user. From the price point of view, this device is affordable compared to what we can find on the market.
Augmented PIN Authentication through Behavioral Biometrics
Authors: Nerini Matteo , Favarelli Elia , Chiani Marco
Published: June 2022

Personal Identification Numbers (PINs) are widely used today for user authentication on mobile devices. However, this authentication method can be subject to several attacks such as phishing, smudge, and side-channel. In this paper, we increase the security of PIN-based authentication by considering behavioral biometrics, specifically the smartphone movements typical of each user. To this end, we propose a method based on anomaly detection that is capable of recognizing whether the PIN is inserted by the smartphone owner or by an attacker. This decision is taken according to the smartphone movements, which are recorded during the PIN insertion through the built-in motion sensors. For each digit in the PIN, an anomaly score is computed using Machine Learning (ML) techniques. Subsequently, these scores are combined to obtain the final decision metric. Numerical results show that our authentication method can achieve an Equal Error Rate (EER) as low as 5% in the case of 4-digit PINs, and 4% in the case of 6-digit PINs. Considering a reduced training set, composed of solely 50 samples, the EER only slightly worsens, reaching 6%. The practicality of our approach is further confirmed by the low processing time required, on the order of fractions of milliseconds.
An Efficient Approach for Separating Essential Oil and Polysaccharides Simultaneously from Fresh Leaves of Guajava by Microwave-Mediated Hydrodistillation with Lithium Salts and Antibacterial Activity of Essential Oil
Authors: Zhang Xiaonan , Huang Yan , Zhang Lubin , Zhu Hongwei , Niu Yaqian , An Yimin , Liu Zhiwei
Published: June 2022

The essential oils and polysaccharides from guava leaves have important functions. In the process of microwave extraction of plant essential oils and polysaccharides, pretreatment with lithium salts solution is helpful to increase the extraction rate. The experiment was conducted using a single factor method. Results were optimized by principal component analysis and response surface optimization. The optimal conditions were: LiCl dosage 45 μmol, microwave time 40 min, liquid-solid ratio 10, homogenization time 4.2 min, liquid-material ratio 10, and microwave irradiation power 700 W. The highest yield of essential oil and polysaccharide were 10.27 ± 0.58 mL/kg dry weight (DW) and 50.31 ± 1.88 g/kg·DW, respectively. Three verification experiments showed that the extraction rate of the microwave method was higher than that of the traditional heating method. In addition, the bacteriostatic zones reached the maximum 23.7 ± 0.11 mm when the concentration was 40 μL/mL, and the above results have practical significance.
Recent Advances in Separation and Analysis of Saponins in Natural Products
Authors: Wang Yi , Ma Yan , Tao Li , Zhang Xiaoyan , Hao Fusheng , Zhao Shipeng , Han Lu , Bai Changcai
Published: June 2022

To better control the quality of saponins, ensure their biological activity and clinical therapeutic effect, and expand the development and application of saponins, this paper systematically and comprehensively reviews the separation and analytical methods of saponins in the past decade. Since 2010, the electronic databases of PubMed, Google Scholar, ISI Web of Science, Science Direct, Wiley, Springer, CNKI (National Knowledge Infrastructure, CNKI), Wanfang Med online, and other databases have been searched systematically. As a result, it is found that ionic liquids and high-performance countercurrent chromatography are the most popular extraction and separation techniques for saponins, and the combined chromatography technique is the most widely used method for the analysis of saponins. Liquid chromatography can be used in combination with different detectors to achieve qualitative or quantitative analysis and quality control of saponin compounds in medicinal materials and their preparations. This paper provides the latest valuable insights and references for the analytical methods and continued development and application of saponins.
Cleaning in Times of Pandemic: Perceptions of COVID-19 Risks among Workers in Facility Services
Authors: Dias Isabel , Lopes Alexandra , Azevedo José , Maia Ana Sofia , Baptista João Santos
Published: June 2022

Cleaning services are a transversal activity that guarantees the proper functioning and conditions of safety, hygiene, and health across all economic sectors. The COVID-19 pandemic increased the need for clean, sanitary spaces, particularly in health services and other areas with a large number of people. The workers in these services were often placed on the frontline without any specific training or information. Their low average schooling aggravated this situation. Therefore, exploring these workers’ perceptions about the COVID-19 pandemic and its potential influence on their mental health was the primary goal of our research. Structured interviews were conducted based on questionnaires in a sample of 436 women. Their characterisation focused on three aspects related to the pandemic. First, to prevent infecting others (85.5%) and that people close to them could die (86.0%) were the dominant concerns; second, the feeling of permanent vigilance was mentioned (56.2%); and third, the fear of not getting medical care (60.7%). Thus, the workers felt there was a need for more dissemination of individual protection measures, as well as more training, better general working conditions, and access to psychological counselling.
Learning to Resist and Resisting Learning
Authors: Bradbury Jill
Published: June 2022

The COVID crisis has disrupted routine patterns and practices across all spheres of everyday life, rupturing social relations and destabilising our capacity for building coherent selves and communities by recollecting the past and imagining potential futures. Education is a key domain in which these hopes for the future have been dashed for many young people and in which commitments to critical scholarship and pedagogies are being contested. In a world of stark socioeconomic inequality, racism, and other forms of dehumanising othering, the pandemic serves not to disrupt narratives of meritocracy and progress but to expose them as the myths they have always been. This paper will explore forms of political resistance and the (im)possibilities for experimental pedagogies in response to the broken promises and unrealised dreams of (higher) education in the context of the COVID crisis. Reflecting on my own everyday life as a scholar and educator in a South African university, and in dialogue with students’ narratives of experience, I will examine the ways in which the experience of the pandemic has released and mobilised new forms of resistance to historical institutional and pedagogical practices. However, these hopeful threads of alternative narratives are fragile, improvised in the weighty conditions of a status quo resistant to change, and in which the alienation and inequality of the terrain are being exacerbated and deepened through a proliferation of bureaucratic and technicist solutions.
Factors Influencing Muslim Women’s Decisions about Induced Lactation: A Qualitative Study
Authors: Che Abdul Rahim Norsyamlina , Sulaiman Zaharah , Tengku Ismail Tengku Alina
Published: June 2022

The induction of lactation occurs when breast milk is produced in a woman, without going through the process of pregnancy and delivery. Induced lactation is a method of strengthening the bond between the adopted child and the adoptive mother. This study aimed to explore the factors influencing Muslim women’s decisions about induced lactation in Malaysia. This qualitative study used in-depth interviews with women who had induced lactation in five states based on five regions in Malaysia (Central Region (Selangor), Northern Region (Penang), Southern Region (Johor), East Coast Region (Kelantan), and Malaysia Borneo (Sabah)). All interviews were consented, audio-recorded, and transcribed verbatim, followed by identification of emerging themes. After interviewing 23 induced lactation women, data saturation was achieved. Data synthesized using thematic analysis revealed three themes describing the main factors in determining women’s decisions on induced lactation: (1) mahram relationship, (2) experiencing motherhood, and (3) the perceived superiority of breastfeeding. It is hoped that by identifying the various factors that influence the decision to induce lactation, health care professionals and the community will be empowered to support breastfeeding in terms of facilitating motherhood, providing breastfeeding aid equipment, and assisting with daily necessities. By expanding efforts and programs, the government and other stakeholders can assist adoptive mothers in breastfeeding their children and feeling more accomplished as women and mothers.
Field Test on Deformation Characteristics of Pile-Supported Reinforced Embankment in Soft Soil Foundation
Authors: Wang Xin , Wang Xizhao , Yang Guangqing , Pu Changyu , Jin Jinzhao
Published: June 2022

In this work, the settlement deformation of the soft-soil subgrade and the deformation law of the geogrid were studied based on field tests carried out on the pile-supported reinforced embankment of the Rongwu Expressway in the Xiong’an New Area. The settlement and deformation law of the reinforcement area and the underlying layer of the pile-supported reinforced embankment, the settlement law of the transverse and longitudinal sections of the subgrade, and the deformation law of the bidirectional geogrid were analyzed. The results show that reducing the pile spacing and embankment height can effectively reduce the foundation settlement. The change in the pile spacing mainly affected the settlement in the reinforcement area, while the embankment height mainly affected the substratum settlement; the differential settlement in the subgrade cross-section was mainly caused by the settlement in the reinforcement area. The settlement at the center of the subgrade was obviously higher than that at the shoulder. In terms of the geogrid deformation law of the subgrade cross-section, the geogrid deformation at the center line of the subgrade was the largest. With the increase in the distance from the center line, the geogrid deformation gradually decreased. In terms of the deformation law of the biaxial geogrid, the tensile deformation of the geogrid in the center of two piles was greater than that in the center of four piles. The transverse tensile deformation of the geogrid was greater than the longitudinal tensile deformation. The tensile stress of the reinforced materials was calculated according to four specifications, and the applicability of various methods was evaluated.
Spillover Effect of the Interaction between Fintech and the Real Economy Based on Tail Risk Dependent Structure Analysis
Authors: Peng Zhikai , Ke Jinchuan
Published: June 2022

Fintech innovation has greatly improved the operation efficiency of the financial industry and promoted the sustainable development of the real economy. On the other hand, fintech also brings the problem of risk spillover. Through a time series analysis, vector auto-regression with the Granger causality test is conducted to analyze the interaction between fintech and the real economy. To deal with the nonlinear relationship and overcome the high-dimensional-dependent structure faced by Copula, this paper establishes a GARCH–Vine–Copula model to study the tail risk and dynamic dependency between fintech and industries of the real economy in China, and then analyzes the risk spillover by calculating the CoVaR. The results show that there is a positive dynamic correlation between fintech and the real economy, and this increases when facing risk impact; fintech is located in the leading position of R-vine-dependent structure, and has a high correlation coefficient with the upper and lower tail of various industries. The results of CoVaR show that the extreme risk events in fintech and various industries have different degrees of negative impact on each other; the risk events in fintech have an extreme impact on industry in a short time.
How Urban Residents Perceive Nature Education: A Survey from Eight Metropolises in China
Authors: Huang Yu , Shi Rui , Zhou Jin , Chen Zhiqiang , Liang Peng
Published: June 2022

“Nature education” has become a striking trend in the field of environmental and sustainable development education in mainland China in recent years, which is considered to be a powerful force to realize the 11th goal of the 2030 Agenda for Sustainable Development, namely, “Sustainable Cities and Communities”. Chinese urban residents’ perceptions of “nature education” are fundamental to the success of “nature education” but we still know very little about it. This study aims to gather insights on the awareness, attitudes, and behaviors towards nature and nature education. In this paper, online questionnaires and random sampling methods were used. An online questionnaire survey was conducted among urban residents in eight representative cities in China, namely, Beijing (n = 313), Shanghai (n = 314), Guangzhou (n = 307), Shenzhen (n = 308), Chengdu (n = 206), Xiamen (n = 207), Hangzhou (n = 203), and Wuhan (n = 206). This study implied that Chinese urban residents are willing to accept nature education. There is a strong sense among the Chinese public in cities that living in harmony with nature, improving wellbeing through healthy and sustainable actions, and enjoying and protecting nature are desirable actions. However, respondents were slightly less likely to consider the emotional benefits and the development of social and functional (technical) skills as important elements of participating in nature education. The results also confirm that Chinese urban residents’ perceptions of nature education can be positively predicted by the individual’s relationship with nature and the individual’s experience related to nature education. These are important key messages for nature education organizations to communicate. The results of the study put forward some questions worthy of in-depth consideration for the development of China’s nature education, which can provide a foundation and direction for the further development of nature education in China.
Efficient Data-Driven Crop Pest Identification Based on Edge Distance-Entropy for Sustainable Agriculture
Authors: Yang Jiachen , Ma Shukun , Li Yang , Zhang Zhuo
Published: June 2022

Human agricultural activities are always accompanied by pests and diseases, which have brought great losses to the production of crops. Intelligent algorithms based on deep learning have achieved some achievements in the field of pest control, but relying on a large amount of data to drive consumes a lot of resources, which is not conducive to the sustainable development of smart agriculture. The research in this paper starts with data, and is committed to finding efficient data, solving the data dilemma, and helping sustainable agricultural development. Starting from the data, this paper proposed an Edge Distance-Entropy data evaluation method, which can be used to obtain efficient crop pests, and the data consumption is reduced by 5% to 15% compared with the existing methods. The experimental results demonstrate that this method can obtain efficient crop pest data, and only use about 60% of the data to achieve 100% effect. Compared with other data evaluation methods, the method proposed in this paper achieve state-of-the-art results. The work conducted in this paper solves the dilemma of the existing intelligent algorithms for pest control relying on a large amount of data, and has important practical significance for realizing the sustainable development of modern smart agriculture.
When Offline Stores Reduce Online Returns
Authors: Hirche Christian F. , Bijmolt Tammo H. A. , Gijsenberg Maarten J.
Published: June 2022

Among the dark sides of contemporary multi-channel retailing are the vast amounts of product returns, especially in the online channel. High product returns not only put pressure on the retailers’ profitability, but also come at high societal and environmental costs. A central question then is whether multi-channel retailers can use their offline stores to help reduce product returns in the online channel without harming online sales. In an empirical study, we address this issue using data from a large Dutch shoe retailer. We develop a novel spatial model to estimate the influence of proximate retail stores on customers’ online shopping behavior, while controlling for spatial and customer heterogeneity. Results demonstrate that an increased offline channel presence indeed reduces online returns, depending on the product’s risk profile, without significantly lowering online sales. Offline stores can thus be an effective and appealing way for retailers to mitigate the negative impact of online shopping related to product returns.