bluuebunny/crossref_metadata_2025 huggingface dataset:
Bone Morphogenetic Protein-, Antimicrobial Agent-, and Analgesic-Incorporated Nanofibrous Scaffolds for the Therapy of Alveolar Clefts
Authors: Chou Pang-Yun , Lee Demei , Weng Chi-Chang , Wu Ren-Chin , Liao Chien-Tun , Liu Shih-Jung
Published: February 2022

An alveolar cleft is a bone defect in the maxillary arch. Although the use of autologous iliac bone grafts to repair alveolar clefts is the preferred treatment method, donor-site morbidity remains a concern. In this study, we incorporated bone morphogenetic protein (BMP), an antimicrobial agent, and an analgesic into nanofibrous scaffolds for alveolar cleft therapy. Three-dimensional (3D) printing and coaxial electrospinning techniques were used to fabricate the scaffolds. BMP-2, ketorolac, and amoxicillin were used as the growth factor, analgesic, and antimicrobial agent, respectively. The in vitro properties of the nanofibrous scaffolds were characterized, and in vivo efficacy was evaluated in a rat alveolar-cleft model. The empirical data indicated that the biomolecule-incorporated scaffolds offered extended discharge of BMP-2, amoxicillin, and ketorolac for >4 weeks. The animal test outcomes also demonstrated favorable bone healing at the cleft site. Biomolecule- and drug-incorporated nanofibrous scaffolds demonstrated their efficacy in alveolar cleft treatment.
Toxicity, Deterrent and Repellent Activities of Four Essential Oils on Aphis punicae (Hemiptera: Aphididae)
Authors: Sayed Samy , Soliman Mohamed Mohamed , Al-Otaibi Saad , Hassan Mohamed M. , Elarrnaouty Sayed-Ashraf , Abozeid Samia M. , El-Shehawi Ahmed M.
Published: February 2022

Chemical insecticides have many harmful effects, including as foodborne residues and environmental contaminants, as well as side effects on natural enemies and serious risks for human health. The use of plant-derived essential oils (EOs) as effective bio-agents has become an essential component of integrated pest management. In this study, the contact toxicity, deterrent, and repellent activities were evaluated for essential oils obtained from Mentha piperita, Mentha longifolia, Salvia officinalis, and Salvia rosmarinus, grown at high altitudes in the Taif region, KSA, on Aphis punicae. Furthermore, the toxicity of these EOs against the predator Coccinella undecimpunctata was estimated. A total of 17, 14, 16, and 26 compounds were identified in the EOs of M. piperita, M. longifolia, S. officinalis, and S. rosmarinus, respectively. They showed a variation in the major compounds: M. piperita (Carvone, 61.16%), M. longifolia (Pulegone, 48.6%), S. officinalis (Eucalyptol, 33.52%), and S. rosmarinus (α-pinene, 36.65%). A contact toxicity test on A. punicae imago and C. undecimpunctata larvae showed that LC50 were approximately four-fold greater for all tested EOs towards aphids compared to towards the predator, while the two species of Salvia sp. were more effective than the other two species of Mentha sp. The LC50 values on A. punicae ranged from 1.57 to 2.97 µg/mL, while on C. undecimpunctata larvae, they ranged from 5.96 to 10.33 µg/mL. Furthermore, the EOs of two species of Salvia sp. showed excellent repellence and deterrence against A. punicae. In conclusion, the tested EOs, especially those from Salvia sp., have been shown to be promising natural aphicides, repellent, and deterrent against A. punicae, and they are safe for important insect predators.
Suppression of Cortical Microtubule Reorientation and Stimulation of Cell Elongation in Arabidopsis Hypocotyls under Microgravity Conditions in Space
Authors: Kato Shiho , Murakami Mana , Saika Ryo , Soga Kouichi , Wakabayashi Kazuyuki , Hashimoto Hirofumi , Yano Sachiko , Matsumoto Shohei , Kasahara Haruo , Kamada Motoshi , Shimazu Toru , Hashimoto Takashi , Hoson Takayuki
Published: February 2022

How microgravity in space influences plant cell growth is an important issue for plant cell biology as well as space biology. We investigated the role of cortical microtubules in the stimulation of elongation growth in Arabidopsis (Arabidopsis thaliana) hypocotyls under microgravity conditions with the Resist Tubule space experiment. The epidermal cells in the lower half of the hypocotyls of wild-type Columbia were longer in microgravity than at on-orbit 1 g, which precipitated an increase in the entire hypocotyl length. In the apical region, cortical microtubules adjacent to the outer tangential wall were predominantly transverse to the long axis of the cell, whereas longitudinal microtubules were predominant in the basal region. In the 9th to 12th epidermal cells (1 to 3 mm) from the tip, where the modification of microtubule orientation from transverse to longitudinal directions (reorientation) occurred, cells with transverse microtubules increased, whereas those with longitudinal microtubules decreased in microgravity, and the average angle with respect to the transverse cell axis decreased, indicating that the reorientation was suppressed in microgravity. The expression of tubulin genes was suppressed in microgravity. These results suggest that under microgravity conditions, the expression of genes related to microtubule formation was downregulated, which may cause the suppression of microtubule reorientation from transverse to longitudinal directions, thereby stimulating cell elongation in Arabidopsis hypocotyls.
Molecularly Imprinted Polymers as State-of-the-Art Drug Carriers in Hydrogel Transdermal Drug Delivery Applications
Authors: Lusina Aleksandra , Cegłowski Michał
Published: February 2022

Molecularly Imprinted Polymers (MIPs) are polymeric networks capable of recognizing determined analytes. Among other methods, non-covalent imprinting has become the most popular synthesis strategy for Molecular Imprinting Technology (MIT). While MIPs are widely used in various scientific fields, one of their most challenging applications lies within pharmaceutical chemistry, namely in therapeutics or various medical therapies. Many studies focus on using hydrogel MIPs in transdermal drug delivery, as the most valuable feature of hydrogels in their application in drug delivery systems that allow controlled diffusion and amplification of the microscopic events. Hydrogels have many advantages over other imprinting materials, such as milder synthesis conditions at lower temperatures or the increase in the availability of biological templates like DNA, protein, and nucleic acid. Moreover, one of the most desirable controlled drug delivery applications is the development of stimuli-responsive hydrogels that can modulate the release in response to changes in pH, temperature, ionic strength, or others. The most important feature of these systems is that they can be designed to operate within a particular human body area due to the possibility of adapting to well-known environmental conditions. Therefore, molecularly imprinted hydrogels play an important role in the development of modern drug delivery systems.
An Optimized Purification Design for Extracting Active ADAMTS13 from Conditioned Media
Authors: Jankowska Katarzyna I. , Katneni Upendra , Lin Brian C. , Amarasinghe Randilu , Phue Je-Nie , Wu Wells W. , Hamasaki-Katagiri Nobuko , Jankowski Wojciech , Shen Rong-Fong , Kimchi-Sarfaty Chava
Published: February 2022

ADAMTS13 is a hemostatic enzyme that breaks down pro-thrombotic ultra-large multimers of von Willebrand factor (VWF). The deficiency of ADAMTS13 increases VWF-mediated thrombogenic potential and may lead to thrombotic thrombocytopenic purpura (TTP). Recently, clinical studies have shown the development of acquired TTP after COVID-19 infection and a correlation between low ADAMTS13 plasma levels and increased mortality. As a result, investigating ADAMTS13 as a potential recombinant therapeutic is of broad interest in the field of hematology. ADAMTS13 is considered challenging to purify in its biologically active state. Current purification methods utilize immobilized metal ions, which can interfere with ADAMTS13 metalloprotease activity. For this reason, we optimized an alternative strategy to isolate milligram quantities of highly active recombinant ADAMTS13 (rADAMTS13) from conditioned media after exogenous expression in human cell line, HEK293. HEK293 cells stably expressing C-terminal V5-His-tagged ADAMTS13 were grown in two parallel systems, culture bottles and flasks, for identifying an optimal cultivation strategy. Subsequently, we employed anion exchange followed by anti-V5-tag affinity chromatography to purify rADAMTS13, and extracted rADAMTS13 of high specific activity while preserving its native post-translational modifications. In addition, this process has been optimized and scaled up to produce active rADAMTS13 at levels sufficient for laboratory-scale structural, enzymatic, and biochemical studies.
End-of-Use vs. End-of-Life: When Do Consumer Electronics Become Waste?
Authors: Ylä-Mella Jenni , Keiski Riitta L. , Pongrácz Eva
Published: February 2022

This study focuses on the lifespan of consumer electronics. The article reviews end-of-life terminology in scientific literature and suggests distinguishing end-of-use and end-of-life stages. The question, when electronics become waste, is approached using the concept of a system called PSSP language, which classifies artefacts based on their attributes of purpose, structure, state and performance. It is highlighted that waste as a concept is dynamic; the same thing can be waste or non-waste at different times and places and for different people. Further, the article reviews the impact of storage behavior on the realization of the waste hierarchy, using mobile phones as a case study. Evidence suggests that over half of customers use their mobile phones for only two years, and there is little incentive to keep them in use longer. Surveys also indicate that over half of the customers do not return their phones for reuse or recycling but keep them at home. The article suggests that the three key factors, promoting the storing of an old phone, are the shortness of usage time, perceived residual value of replaced equipment and concerns of personal information security. It is also indicated that memories and the personal attachment to the device contribute to consumers’ storage decision. It is concluded that, to prolong the use of mobile phones, there is a demand for changing consumers attitudes towards the return of electronics for reuse and repair to be more positive.
Time-Varying Surface Deformation Retrieval and Prediction in Closed Mines through Integration of SBAS InSAR Measurements and LSTM Algorithm
Authors: Chen Bingqian , Yu Hao , Zhang Xiang , Li Zhenhong , Kang Jianrong , Yu Yang , Yang Jiale , Qin Lu
Published: February 2022

After a coal mine is closed, the coal rock mass could undergo weathering deterioration and strength reduction due to factors such as stress and groundwater, which in turn changes the stress and bearing capacity of the fractured rock mass in the abandoned goaf, leading to secondary or multiple surface deformations in the goaf. Currently, the spatiotemporal evolution pattern of the surface deformation of closed mines remains unclear, and there is no integrated monitoring and prediction model for closed mines. Therefore, this study proposed to construct an integrated monitoring and prediction model for closed mines using small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) and a deep learning-based long short-term memory (LSTM) neural network algorithm to achieve evolution pattern and dynamic prediction of spatiotemporal surface deformation of closed mines. Taking a closed mine in the western part of Xuzhou, China, as an example, based on Sentinel-1A SAR data between 21 December 2015, and 11 January 2021, SBAS InSAR technology was used to obtain the spatiotemporal evolution pattern of the surface during the 5 years after mine closure. The results showed that the ground surface subsided in the early stage of mine closure and then uplifted. In 5 years, the maximum subsidence rate in the study area is −43 mm/a, and the cumulative maximum subsidence is 310 mm; the maximum uplift rate is 29 mm/a, and the cumulative maximum uplift is 135 mm. Moreover, the maximum tilt and curvature are 3.5 mm/m and 0.19 mm/m2, respectively, which are beyond the safety thresholds of buildings; thus, continuous monitoring is necessary. Based on the evolution pattern of surface deformation, the surface deformation prediction model was proposed by integrating SBAS InSAR and an LSTM neural network. The experiment results showed that the LSTM neural network can accurately predict the deformation trend, with a maximum root mean square error (RMSE) of 5.1 mm. Finally, the relationship between the residual surface deformation and time after mine closure was analyzed, and the mechanisms of surface subsidence and uplift were discussed, which provide a theoretical reference for better understanding the surface deformation process of closed mines and the prevention of surface deformation.
Development of an App and Teaching Concept for Implementation of Hyperspectral Remote Sensing Data into School Lessons Using Augmented Reality
Authors: Lindner Claudia , Rienow Andreas , Otto Karl-Heinz , Juergens Carsten
Published: February 2022

For the purpose of expanding STEM (science, technology, engineering, mathematics) education with remote sensing (RS) data and methods, an augmented reality (AR) app was developed in combination with a worksheet and lesson plan. Data from the Hyperspectral Imager for the Coastal Ocean (HICO) was searched for topics applicable to STEM curricula, which was found in the example of a harmful algal bloom in Lake Erie, USA, in 2011. Spectral shape algorithms were applied to differentiate between less harmful green and more harmful blue algae in the lake. The data was pre-processed to reduce its size significantly without losing too much information and then integrated into an app that was developed in Unity with the Vuforia extension. It was designed to let students browse and understand the raw data in RGB and a tangible hyperspectral cube, as well as to analyze algae maps derived from it. The app runs on Android smartphones with minimized data usage to make it less dependent on school funding and the socioeconomic background of students. Using educational concepts, such as active and collaborative learning, moderate constructivism, and scientific inquiry, the data was integrated into a lesson about environmental problems that was enhanced by the AR app. The app and worksheet were evaluated in two advanced geography courses (n = 36) and found to be complex, but doable and understandable, for the target group of German high school students in their final two school years. Thus, hyperspectral data can be used for STEM lessons using AR technology on students’ smartphones with several limitations both in the technology used and gainable knowledge.
Fractional Fourier Transform-Based Tensor RX for Hyperspectral Anomaly Detection
Authors: Zhang Lili , Ma Jiachen , Cheng Baozhi , Lin Fang
Published: February 2022

Anomaly targets in a hyperspectral image (HSI) are often multi-pixel, rather than single-pixel, objects. Therefore, algorithms using a test point vector may ignore the spatial characteristics of the test point. In addition, hyperspectral anomaly detection (AD) algorithms usually use original spectral signatures. In a fractional Fourier transform (FrFT), the signals in the fractional Fourier domain (FrFD) possess complementary characteristics of both the original reflectance spectrum and its Fourier transform. In this paper, a tensor RX (TRX) algorithm based on FrFT (FrFT-TRX) is proposed for hyperspectral AD. First, the fractional order of FrFT is selected by fractional Fourier entropy (FrFE) maximization. Then, the HSI is transformed into the FrFD by FrFT. Next, TRX is employed in the FrFD. Finally, according to the optimal spatial dimensions of the target and background tensors, the optimal AD result is achieved by adjusting the fractional order. TRX employs a test point tensor, making better use of the spatial characteristics of the test point. TRX in the FrFD exploits the complementary advantages of the intermediate domain to increase discrimination between the target and background. Six existing algorithms are used for comparison in order to verify the AD performance of the proposed FrFT-TRX over five real HSIs. The experimental results demonstrate the superiority of the proposed algorithm.
Early Detection of Basal Stem Rot Disease in Oil Palm Tree Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging
Authors: Kurihara Junichi , Koo Voon-Chet , Guey Cheaw Wen , Lee Yang Ping , Abidin Haryati
Published: February 2022

Early detection of basal stem rot (BSR) disease in oil palm trees is important for the sustainable production of palm oil in the limited land for plantation in Southeast Asia. However, previous studies based on satellite and aircraft hyperspectral remote sensing could not discriminate oil palm trees in the early-stage of the BSR disease from healthy or late-stage trees. In this study, hyperspectral imaging of oil palm trees from an unmanned aerial vehicle (UAV) and machine learning using a random forest algorithm were employed for the classification of four infection categories of the BSR disease: healthy, early-stage, late-stage, and dead trees. A concentric disk segmentation was applied to tree crown segmentation at the sub-plant scale, and recursive feature elimination was used for feature selection. The results revealed that the classification performance for the early-stage trees is maximum at the specific tree crown segments, and only a few spectral bands in the red-edge region are sufficient to classify the infection categories. These findings will be useful for future UAV-based multispectral imaging to efficiently cover a wide area of oil palm plantations for the early detection of BSR disease.
Spectral-Spatial Residual Network for Fusing Hyperspectral and Panchromatic Remote Sensing Images
Authors: Zhao Rui , Du Shihong
Published: February 2022

Fusing hyperspectral and panchromatic remote sensing images can obtain the images with high resolution in both spectral and spatial domains. In addition, it can complement the deficiency of high-resolution hyperspectral and panchromatic remote sensing images. In this paper, a spectral–spatial residual network (SSRN) model is established for the intelligent fusion of hyperspectral and panchromatic remote sensing images. Firstly, the spectral–spatial deep feature branches are built to extract the representative spectral and spatial deep features, respectively. Secondly, an enhanced multi-scale residual network is established for the spatial deep feature branch. In addition, an enhanced residual network is established for the spectral deep feature branch This operation is adopted to enhance the spectral and spatial deep features. Finally, this method establishes the spectral–spatial deep feature simultaneity to circumvent the independence of spectral and spatial deep features. The proposed model was evaluated on three groups of real-world hyperspectral and panchromatic image datasets which are collected with a ZY-1E sensor and are located at Baiyangdian, Chaohu and Dianchi, respectively. The experimental results and quality evaluation values, including RMSE, SAM, SCC, spectral curve comparison, PSNR, SSIM ERGAS and Q metric, confirm the superior performance of the proposed model compared with the state-of-the-art methods, including AWLP, CNMF, GIHS, MTF_GLP, HPF and SFIM methods.
Application of Knowledge Distillation Based on Transfer Learning of ERNIE Model in Intelligent Dialogue Intention Recognition
Authors: Guo Shiguang , Wang Qing
Published: February 2022

The ‘intention’ classification of a user question is an important element of a task-engine driven chatbot. The essence of a user question’s intention understanding is the text classification. The transfer learning, such as BERT (Bidirectional Encoder Representations from Transformers) and ERNIE (Enhanced Representation through Knowledge Integration), has put the text classification task into a new level, but the BERT and ERNIE model are difficult to support high QPS (queries per second) intelligent dialogue systems due to computational performance issues. In reality, the simple classification model usually shows a high computational performance, but they are limited by low accuracy. In this paper, we use knowledge of the ERNIE model to distill the FastText model; the ERNIE model works as a teacher model to predict the massive online unlabeled data for data enhancement, and then guides the training of the student model of FastText with better computational efficiency. The FastText model is distilled by the ERNIE model in chatbot intention classification. This not only guarantees the superiority of its original computational performance, but also the intention classification accuracy has been significantly improved.
Capacitive Sensor and Alternating Drive Mixing for Microfluidic Applications Using Micro Diaphragm Pumps
Authors: Thalhofer Thomas , Keck Mauro , Kibler Sebastian , Hayden Oliver
Published: February 2022

Microfluidic systems are of paramount importance in various fields such as medicine, biology, and pharmacy. Despite the plethora of methods, accurate dosing and mixing of small doses of liquid reagents remain challenges for microfluidics. In this paper, we present a microfluidic device that uses two micro pumps and an alternating drive pattern to fill a microchannel. With a capacitive sensor system, we monitored the fluid process and controlled the micro pumps. In a first experiment, the system was set up to generate a 1:1 mixture between two fluids while using a range of fluid packet sizes from 0.25 to 2 µL and pumping frequencies from 50 to 100 Hz. In this parameter range, a dosing accuracy of 50.3 ± 0.9% was reached, validated by a gravimetric measurement. Other biased mixing ratios were tested as well and showed a deviation of 0.3 ± 0.3% from the targeted mixing ratio. In a second experiment, Trypan blue was used to study the mixing behavior of the system. Within one to two dosed packet sets, the two reagents were reliably mixed. The results are encouraging for future use of micro pumps and capacitive sensing in demanding microfluidic applications.
Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification
Authors: Mohebian Pooya , Aval Seyed Bahram Beheshti , Noori Mohammad , Lu Naiwei , Altabey Wael A.
Published: February 2022

Identifying structural damage is an essential task for ensuring the safety and functionality of civil, mechanical, and aerospace structures. In this study, the structural damage identification scheme is formulated as an optimization problem, and a new meta-heuristic optimization algorithm, called visible particle series search (VPSS), is proposed to tackle that. The proposed VPSS algorithm is inspired by the visibility graph technique, which is a technique used basically to convert a time series into a graph network. In the proposed VPSS algorithm, the population of candidate solutions is regarded as a particle series and is further mapped into a visibility graph network to obtain visible particles. The information captured from the visible particles is then utilized by the algorithm to seek the optimum solution over the search space. The general performance of the proposed VPSS algorithm is first verified on a set of mathematical benchmark functions, and, afterward, its ability to identify structural damage is assessed by conducting various numerical simulations. The results demonstrate the high accuracy, reliability, and computational efficiency of the VPSS algorithm for identifying the location and the extent of damage in structures.
Flexible and Transparent Circularly Polarized Patch Antenna for Reliable Unobtrusive Wearable Wireless Communications
Authors: Sayem Abu Sadat Md. , Simorangkir Roy B. V. B. , Esselle Karu P. , Lalbakhsh Ali , Gawade Dinesh R. , O’Flynn Brendan , Buckley John L.
Published: February 2022

This paper presents a circularly polarized flexible and transparent circular patch antenna suitable for body-worn wireless-communications. Circular polarization is highly beneficial in wearable wireless communications, where antennas, as a key component of the RF front-end, operate in dynamic environments, such as the human body. The demonstrated antenna is realized with highly flexible, robust and transparent conductive-fabric-polymer composite. The performance of the explored flexible-transparent antenna is also compared with its non-transparent counterpart manufactured with non-transparent conductive fabric. This comparison further demonstrates the suitability of the proposed materials for the target unobtrusive wearable applications. Detailed numerical and experimental investigations are explored in this paper to verify the proposed design. Moreover, the compatibility of the antenna in wearable applications is evaluated by testing the performance on a forearm phantom and calculating the specific absorption rate (SAR).
Bridge Digital Twinning Using an Output-Only Bayesian Model Updating Method and Recorded Seismic Measurements
Authors: Ghahari Farid , Malekghaini Niloofar , Ebrahimian Hamed , Taciroglu Ertugrul
Published: February 2022

Rapid post-earthquake damage diagnosis of bridges can guide decision-making for emergency response management and recovery. This can be facilitated using digital technologies to remove the barriers of manual post-event inspections. Prior mechanics-based Finite Element (FE) models can be used for post-event response simulation using the measured ground motions at nearby stations; however, the damage assessment outcomes would suffer from uncertainties in structural and soil material properties, input excitations, etc. For instrumented bridges, these uncertainties can be reduced by integrating sensory data with prior models through a model updating approach. This study presents a sequential Bayesian model updating technique, through which a linear/nonlinear FE model, including soil-structure interaction effects, and the foundation input motions are jointly identified from measured acceleration responses. The efficacy of the presented model updating technique is first examined through a numerical verification study. Then, seismic data recorded from the San Rogue Canyon Bridge in California are used for a real-world case study. Comparison between the free-field and the foundation input motions reveals valuable information regarding the soil-structure interaction effects at the bridge site. Moreover, the reasonable agreement between the recorded and estimated bridge responses shows the potentials of the presented model updating technique for real-world applications. The described process is a practice of digital twinning and the updated FE model is considered as the digital twin of the bridge and can be used to analyze the bridge and monitor the structural response at element, section, and fiber levels to diagnose the location and severity of any potential damage mechanism.
Design of a Low-Power Embedded System Based on a SoC-FPGA and the Honeybee Search Algorithm for Real-Time Video Tracking
Authors: Soubervielle-Montalvo Carlos , Perez-Cham Oscar E. , Puente Cesar , Gonzalez-Galvan Emilio J. , Olague Gustavo , Aguirre-Salado Carlos A. , Cuevas-Tello Juan C. , Ontanon-Garcia Luis J.
Published: February 2022

Video tracking involves detecting previously designated objects of interest within a sequence of image frames. It can be applied in robotics, unmanned vehicles, and automation, among other fields of interest. Video tracking is still regarded as an open problem due to a number of obstacles that still need to be overcome, including the need for high precision and real-time results, as well as portability and low-power demands. This work presents the design, implementation and assessment of a low-power embedded system based on an SoC-FPGA platform and the honeybee search algorithm (HSA) for real-time video tracking. HSA is a meta-heuristic that combines evolutionary computing and swarm intelligence techniques. Our findings demonstrated that the combination of SoC-FPGA and HSA reduced the consumption of computational resources, allowing real-time multiprocessing without a reduction in precision, and with the advantage of lower power consumption, which enabled portability. A starker difference was observed when measuring the power consumption. The proposed SoC-FPGA system consumed about 5 Watts, whereas the CPU-GPU system required more than 200 Watts. A general recommendation obtained from this research is to use SoC-FPGA over CPU-GPU to work with meta-heuristics in computer vision applications when an embedded solution is required.
Evaluation of Static Autonomous GNSS Positioning Accuracy Using Single-, Dual-, and Tri-Frequency Smartphones in Forest Canopy Environments
Authors: Purfürst Thomas
Published: February 2022

Determining the current position in a forest is essential for many applications and is often carried out using smartphones. Modern smartphones now support various GNSS constellations and multi-frequency analyses, which are expected to provide more accurate positioning. This study compares the static autonomous GNSS positioning accuracy under forest conditions of four multi-frequency multi-constellation smartphones as well as six single-frequency smartphones and a geodetic receiver. Measurements were carried out at 15 different study sites under forest canopies, with 24 measurements lasting approximately 10 min each taken for the 11 GNSS receivers. The results indicate that, on average, multi-frequency smartphones can achieve a higher positioning accuracy. However, the accuracy varies greatly between smartphones, even between identical or quasi-identical tested smartphones. Therefore, no accuracy should be generalised depending on the number of usable frequencies or constellations, but each smartphone should be considered separately. The dual-frequency Xiaomi Mi 10 clearly stands out compared with the other smartphone with a DRMS of 4.56 m and has a 34% lower absolute error than the best single-frequency phone.
Robotic Manipulation Planning for Automatic Peeling of Glass Substrate Based on Online Learning Model Predictive Path Integral
Authors: Hou Liwei , Wang Hengsheng , Zou Haoran , Zhou Yalin
Published: February 2022

Autonomous planning robotic contact-rich manipulation has long been a challenging problem. Automatic peeling of glass substrates of LCD flat panel displays is a typical contact-rich manipulation task, which requires extremely high safe handling through the manipulation process. To this end of peeling glass substrates automatically, the system model is established from data and is used for the online planning of the robot motion in this paper. A simulation environment is designed to pretrain the process model with deep learning-based neural network structure to avoid expensive and time-consuming collection of real-time data. Then, an online learning algorithm is introduced to tune the pretrained model according to the real-time data from the peeling process experiments to cover the uncertainties of the real process. Finally, an Online Learning Model Predictive Path Integral (OL-MPPI) algorithm is proposed for the optimal trajectory planning of the robot. The performance of our algorithm was validated through glass substrate peeling tasks of experiments.
How Do Green Human Resource Management Practices Encourage Employees to Engage in Green Behavior? Perceptions of University Students as Prospective Employees
Authors: Ercantan Ozlem , Eyupoglu Serife
Published: February 2022

This study measured the perceptions of prospective employees (university students) towards organizations practicing green human resource management and how these perceptions could influence their future green behavior in the workplace. The sample of the study consisted of students from the largest university in North Cyprus and 400 questionnaires were administered with 342 valid responses being returned. The data was tested by confirmatory factor analysis by using analysis of moment structures (AMOS) software version 24.0 and factor, regression, and correlation analyses were conducted. The data analysis revealed that green human resource management had a direct influence on prospective employees’ perceived green task-related and voluntary behaviors and an indirect influence via the mediation of psychological green climate perception. The importance of incorporating sustainable dimensions within HRM departments, as well as the function of GHRM practices in achieving sustainability, was highlighted in this study. This study further contributes to the literature of behavioral HRM and focuses on the green side of HRM to contribute to the environmental management literature as well as providing insight into prospective employees’ (students) perceptions of GHRM practices, which will create an impact on their future green workplace behaviors.
What Drives the Structural Anchoring of ESD? Network Theory-Based Considerations
Authors: Schönheit Anna-Luise , Gebauer Ronald , Rink Dieter
Published: February 2022

The structural anchoring of Education for Sustainable Development (ESD) can be considered as a process of collective action. From a network theory perspective, the question arises as to which network structures promote the implementation of ESD in municipalities. Although network analysis has gained some attention in the research on ESD at a transregional level, it still lacks a theoretically grounded study at the municipal level. Against the background of corresponding theoretical and empirical contributions, we therefore present a derivation of relevant hypotheses. More specifically, argue that ESD is more likely to be implemented in municipal networks that feature medium density and intersectoral as well as intermunicipal bridges. Additionally, we assume that highly centralized municipal networks promote the structural anchoring of ESD in the initial phase, with decentralized structures being more conducive the more advanced the implementation. In other words, municipal structures which allow actors from various fields of action and municipalities to communicate with each other and exchange their specific ideas and experiences on a regular basis should foster ESD implementation. Furthermore, focal actors or fields of action may be advantageous for initiating ESD implementation in a municipality, but should lose significance as adaptation processes increase over time.
Status and Trends in Forest Environment Transfer Tax and Information Interface between Prefectures and Municipalities: Multi-Level Governance of Forest Management in 47 Japanese Prefectures
Authors: Kohsaka Ryo , Uchiyama Yuta
Published: February 2022

In 2019, Japan introduced a national forest-environment-transfer tax (FETT). Prefectural and municipal governments receive tax revenue. Currently, 37 prefectures in Japan have prefectural forest taxes, and the prefectures need to demarcate how their own taxes and the national tax are being used. This study analyzed the overall use trends of national tax, which is for supporting municipal forest management, and review the status of prefectural forest environmental taxes. National tax was primarily applied to organizing the information of forests and their owners. The main components of support by prefectures to municipalities were support to questionnaires for private forest owners, other technical supports, securing successors, and training successors. Regarding the prefectural taxes, forest types and policies, which were implemented by the taxes, were reviewed in 18 prefectures. The differentiation of the tax uses of prefectural tax and FETT as a national tax was implemented based on the types of forest and supporting activities, and the spatial scales of forest management. The formation of FETT does not necessarily accompany the flexible assignment of jurisdictions and functions of multi-level governance, with potentially limiting impacts so far. This study could concretely conclude with the demand for participatory social learning toward sustainable forest policymaking and implementations of payment for ecosystem services in forests at the multi-levels of the national government, prefectures, and municipalities.
Case Study of Municipal Waste and Its Reliance on Reverse Logistics in European Countries
Authors: Lingaitienė Olga , Burinskienė Aurelija , Davidavičienė Vida
Published: February 2022

The authors have examined municipal waste, its components and their integration with reverse logistics processes. Background: The theoretical part begins with a definition of municipal waste. Later, the integration between municipal waste and reverse logistics is provided, including presentation of the hierarchy of qualitative methods and models. Methods: The authors constructed a correlation matrix and applied a dynamic regression model to identify that the level of municipal waste impacts recycling of biowaste which demands reverse logistics. Results: The authors provided a dynamic regression model which could be applied for forecasting the size of recycled municipal waste into biowaste indicated in European Union countries. Conclusions: The variety of components in municipal waste prevents the increase of the recycling rates and has to be changed to ones that have higher recycling rates.
An Experimental and Numerical Approach to Multifunctional Urban Surfaces through Blue Roofs
Authors: Rey-Mahía Carlos , Álvarez-Rabanal Felipe Pedro , Sañudo-Fontaneda Luis Angel , Hidalgo-Tostado Mario , Menéndez Suárez-Inclán Antonio
Published: February 2022

Uncontrolled urban growth causes a number of problems associated with land use, stormwater management and energy generation. Sustainable Urban Drainage Systems (SUDS) are positioned as an alternative to traditional constructive solutions, contributing towards the generation of multifunctional urban spaces for efficient stormwater management and energy consumption reduction. Nevertheless, this combined goal calls for a deeper understanding of the heat transfer processes that govern the temperature performance in SUDS in order to be further validated as infrastructure to house renewable energy elements. This study intends to determine the thermal properties of two types of blue roofs under extreme conditions of performance (wet and dry), depicting the operation features of their layers and comparing their performances based on the materials used. With this aim, a hybrid experimental methodology, combining laboratory and numerical modelling, was designed using standardized equipment (ISO 8990:1994 and ASTM C1363-05), improving previous methods proposed in the study of the thermal properties of SUDS. The section with expanded clay improved the hydraulic capacity by 4.8%. The section without expanded clay increased its thermal transmittance value by 64.9% under wet conditions. It was also found that the presence of water increased the equivalent thermal conductivity in both sections by 60%.
Landslide Induced Displacement and Relocation Options: A Case Study of Owner Driven Settings in Sri Lanka
Authors: Senanayake Anuradha , Fernando Nishara , Wasana Maduri , Amaratunga Dilanthi , Haigh Richard , Malalgoda Chamindi , Jayakody Chathuranganee
Published: February 2022

Disaster induced displacement is one of the most frequent phenomena occurring in the contemporary world and has been aggravated by factors such as climate change. With the systematic interpretation of disaster risks, planned relocation has been recognized as a durable solution for post-disaster reconstruction and disaster mitigation. Planned relocation initiatives that have been executed as post-disaster reconstruction initiatives in Sri Lanka have mainly followed donor driven and owner driven approaches. This study is a comparative analysis of the status quo of owner driven relocation options that were implemented after the landslide which took place in 2016 in the X District of Sri Lanka. Two research fields were selected based on the two owner driven options as part of the selected case study: Government Resettlement Sites and Individual Resettlement Sites. This exploratory study utilizes both secondary and primary data. A purposive sample of ten households was selected from each setting to conduct in-depth interviews. Furthermore, five structured interviews with key informants were conducted using an expert sample. Secondary data were collected based on the concepts of relocation and satisfaction of housing. The findings suggest that the respondents were satisfied with the housing units in both settings despite concerns in relation to the suggested plans of the housing units. Furthermore, common concerns were raised in terms of delays and issues in fund management in construction of houses. However, there was a drastic disparity in terms of other infrastructural, public, and neighborhood facilities in the two settings. Hence, this study suggests the need for an overall management and monitoring strategy for all owner driven relocation options.
The GHG Emissions Assessment of Online Car-Hailing Development under the Intervention of Evaluation Policies in China
Authors: Zeng Isabella Yunfei , Chen Jingrui , Niu Ziheng , Liu Qingfei , Wu Tian
Published: February 2022

To assess the impact of the online car-hailing services on the environment in China, in this paper, we develop a model to evaluate greenhouse gas (GHG) emissions and emission reduction during the production and use of car-hailing, as a result of increased online bookings. Since energy use differs according to type of vehicle, this paper also contains different scenarios that depict degrees in the regulation stringency according to the Chinese Preliminary Rules on the Management of Online Car-Hailing, regional differences, and development of electric vehicles. The results show that, under the three different scenarios, the online car-hailing service would have the highest GHG emissions of 325, 413, or 160 MtCO2 and the highest reduction in emissions of 19.46, 25.1, or 9.48 MtCO2 by 2030. The government needs to encourage the development of online car-hailing to reduce the purchase of private cars, avoid compulsory actions to shut down online car-hailing platforms, and mandate that only electric vehicles (EVs) can be used for online car-hailing.
A Comprehensive Risk-Assessment Method for Prefabricated Buildings Using EPC: A Case Study from China
Authors: Xia Manman , Zhao Lemeng , Zhao Li
Published: February 2022

The prefabricated building has been proven to be an effective approach for enhancing the sustainability of the construction industry. In recent years, the Chinese government has promulgated a series of policy documents to promote the advancement of prefabricated buildings. However, in practice, there are still numerous problems related to design, production, and construction, as well as the coordination between various stages. This study aimed to fill the gap in research regarding the application of EPC (Engineering–Procurement–Construction) in prefabricated buildings in China. As most of the risks of projects are borne by general contractors in the EPC mode, the risks faced by prefabricated building projects using EPC were systematically analyzed in this study from the perspective of general contractors. After learning about the risks of assembly construction in different countries, this study conducted a questionnaire survey to establish an evaluation system, and a comprehensive evaluation method was put forward to determine the weight of each indicator. Furthermore, an evaluation model based on grey–fuzzy theory was developed in this study, which was applied to a real project in Nanjing, China. The results indicated the applicability of the established evaluation system and model and determined the risk level of the project. Additionally, in this case study, it was found that construction and design were the major factors determining the risk level of the project. This study contributes to the body of knowledge regarding the integration of EPC in prefabricated buildings, which has practical application value for general contractors when conducting risk assessments.
Awareness of Citizens for the Single-Use Plastics: Comparison between a High-Income and an Upper-Middle-Income Economy of the Easter Mediterranean Region, Greece and Lebanon
Authors: Gareiou Zoe , Chroni Christina , Kontoleon Karolos , El Bachawati Makram , Saba Marianne , Herrero Martin Ruth , Zervas Efthimios
Published: February 2022

Plastics have become an integral part of daily human life for the last 50 years because, due to their durability, low cost and ease of construction, they have replaced many other materials. However, the same characteristics that make plastics particularly desirable are also what make them ubiquitous in the environment, especially as much of the plastic is designed to be discarded almost immediately after use. This study investigates the opinion and behavior concerning the current use of plastics, their end-of-life (recycling) scenario, and the potential for their replacement with more sustainable and biodegradable materials in Greece and Lebanon. The survey was conducted during April and May 2021 in the main cities of the two countries. The data were collected using a structured questionnaire. The questionnaires were analyzed, using simple descriptive statistics, chi-square test and PCA analysis. The results show that even if the respondents of both countries stated significant awareness of environmental issues, they often use single-use plastics. Furthermore, the respondents (in both Greece and Lebanon) say that it would be fair to pay more for products in a package made of biodegradable materials. Finally, the statistical analysis of the results shows that in both Greece and Lebanon, there is a small increase in the use of reusable products during the COVID-19 pandemic compared to before the pandemic.
Circular Economy in the Construction Sector: A Case Study of Santiago de Cali (Colombia)
Authors: Maury-Ramírez Aníbal , Illera-Perozo Danny , Mesa Jaime A.
Published: February 2022

The circular economy, a new paradigm of technological and economic development, is of great importance in developing countries, particularly in the construction sector, one of the most relevant in Colombia. In the Latin American context, Colombia has one of the most important construction industries, contributing to the social and productive development of the country. However, this sector is also responsible for serious environmental problems and social conflicts. Therefore, it is imperative to work with all actors of the value chain to transform the construction sector from a linear economy to a circular economy model. Therefore, this article describes the circular economy model proposed for Santiago de Cali, which is mainly oriented to the analysis and efficient use of construction materials, mostly taking into account the recovery of ecosystems and the circular flow of rocky materials. This model includes an analysis of the production of construction materials, construction process, use and operation, and completion of the life cycle of buildings and infrastructure. In particular, the model proposes an innovative product portfolio for the use of construction and demolition waste (C&DW) supported in applied research (case studies). The portfolio consists of family products, such as recycled aggregates or eco-aggregates, eco-concretes and mortars, eco-prefabricated products and modules, and smart construction materials. In addition, this model describes the C&DW management system and some characteristics of the Technological and Environmental Park (TEP), the main strategy for C&DW valorization in the city.