bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Approach for Dermal Application of Pranoprofen-Loaded Lipid Nanoparticles for the Treatment of Post-Tattoo Inflammatory Reactions
Authors: De Grau-Bassal Guillermo , Mallandrich Mireia , Sosa Lilian , Espinoza Lupe , Calpena Ana Cristina , Bozal-de Febrer Núria , Rodríguez-Lagunas María J. , Garduño-Ramírez María L. , Rincón María
Published: May 2024

Recently, the number of people acquiring tattoos has increased, with tattoos gaining significant popularity in people between 20 and 40 years old. Inflammation is a common reaction associated with tattooing. The purpose of this study was to evaluate a nanostructured lipid carrier loading pranoprofen (PRA-NLC) as a tattoo aftercare formulation to reduce the inflammation associated with tattooing. In this context, the in vitro drug release and the ex vivo permeation-through-human-skin tests using Franz cells were appraised. The tolerance of our formulation on the skin was evaluated by studying the skin’s biomechanical properties. In addition, an in vivo anti-inflammatory study was conducted on mice skin to evaluate the efficacy of the formulation applied topically after tattooing the animals. PRA-NLC showed a sustained release up to 72 h, and the amount of pranoprofen retained in the skin was found to be 33.48 µg/g/cm2. The formulation proved to be well tolerated; it increased stratum corneum hydration, and no signs of skin irritation were observed. Furthermore, it was demonstrated to be non-cytotoxic since the cell viability was greater than 80%. Based on these results, we concluded that PRA-NLC represents a suitable drug delivery carrier for the transdermal delivery of pranoprofen to alleviate the local skin inflammation associated with tattooing.
New Inhibitors of Bcr-Abl Based on 2,6,9-Trisubstituted Purine Scaffold Elicit Cytotoxicity in Chronic Myeloid Leukemia-Derived Cell Lines Sensitive and Resistant to TKIs
Authors: Delgado Thalia , Veselá Denisa , Dostálová Hana , Kryštof Vladimír , Vojáčková Veronika , Jorda Radek , Castro Alejandro , Bertrand Jeanluc , Rivera Gildardo , Faúndez Mario , Strnad Miroslav , Espinosa-Bustos Christian , Salas Cristian O.
Published: May 2024

Bcr-Abl is an oncoprotein with aberrant tyrosine kinase activity involved in the progression of chronic myeloid leukemia (CML) and has been targeted by inhibitors such as imatinib and nilotinib. However, despite their efficacy in the treatment of CML, a mechanism of resistance to these drugs associated with mutations in the kinase region has emerged. Therefore, in this work, we report the synthesis of 14 new 2,6,9-trisubstituted purines designed from our previous Bcr-Abl inhibitors. Here, we highlight 11b, which showed higher potency against Bcr-Abl (IC50 = 0.015 μM) than imatinib and nilotinib and exerted the most potent antiproliferative properties on three CML cells harboring the Bcr-Abl rearrangement (GI50 = 0.7–1.3 μM). In addition, these purines were able to inhibit the growth of KCL22 cell lines expressing Bcr-AblT315I, Bcr-AblE255K, and Bcr-AblY253H point mutants in micromolar concentrations. Imatinib and nilotinib were ineffective in inhibiting the growth of KCL22 cells expressing Bcr-AblT315I (GI50 > 20 μM) compared to 11b–f (GI50 = 6.4–11.5 μM). Molecular docking studies explained the structure–activity relationship of these purines in Bcr-AblWT and Bcr-AblT315I. Finally, cell cycle cytometry assays and immunodetection showed that 11b arrested the cells in G1 phase, and that 11b downregulated the protein levels downstream of Bcr-Abl in these cells.
Adsorption of Chromium (III) and Chromium (VI) Ions from Aqueous Solution Using Chitosan–Clay Composite Materials
Authors: Majigsuren Enkhtuya , Byambasuren Ulziidelger , Bat-Amgalan Munkhpurev , Mendsaikhan Enkhtuul , Kano Naoki , Kim Hee Joon , Yunden Ganchimeg
Published: May 2024

In this work, biopolymer chitosan and natural clay were used to obtain composite materials. The overall aim of this study was to improve the properties (porosity, thermal stability and density) of pure chitosan beads by the addition of clay and to obtain a chitosan-based composite material for the adsorption of heavy metals from an aqueous solution, using Mongolian resources, and to study the adsorption mechanism. The natural clay was pre-treated with acid and heat to remove the impurities. The chitosan and pre-treated clay were mixed in different ratios (8:1, 8:2 and 8:3) for chemical processing to obtain a composite bead for the adsorption of chromium ions. The adsorption of Cr(III) and Cr(VI) was studied as a function of the solution pH, time, temperature, initial concentration of the chromium solution and mass of the composite bead. It was found that the composite bead obtained from the mixture of chitosan and treated clay with a mass ratio of 8:1 and 8:2 had the highest adsorption capacity (23.5 and 17.31 mg·g−1) for Cr(III) and Cr(VI), respectively, in the optimum conditions. The properties of the composite materials, prepared by mixing chitosan and clay with a ratio of 8:1 and 8:2, were investigated using XRD, SEM–EDS, BET and TG analysis. The adsorption mechanism was discussed based on the XPS analysis results. It was confirmed that the chromium ions were adsorbed in their original form, such as Cr(III) and Cr(VI), without undergoing oxidation or reduction reactions. Furthermore, Cr(III) and Cr(VI) were associated with the hydroxyl and amino groups of the composite beads during adsorption. The kinetic, thermodynamic and isothermal analysis of the adsorption process revealed that the interaction between the chitosan/clay composite bead and Cr(III) and Cr(VI) ions can be considered as a second-order endothermic reaction, as such the adsorption can be assessed using the Langmuir isotherm model. It was concluded that the composite bead could be used as an adsorbent for the removal of chromium ions.
Competing Loyalties in a Contested Space: The Lutheran Middle School in Hunan Province, 1907–1914
Authors: Aase Silje Dragsund
Published: May 2024

This study explores the complexities of mission-state and church-state relations from a micro-level perspective, asking how the missionaries, teachers, and pupils at the Lutheran Middle School in Hunan Province negotiated conflicting claims on church membership and national citizenship. However, Hunan is not a microcosm of modern China. When dealing with nationalism in a Hunanese context, it is sometimes more accurate to speak of Hunanese nationalism rather than Chinese nationalism. This micro-level case study sheds light on the general trends of changing mission-state and church-state encounters, but it also emphasizes unexpected expressions of local Christianity in a context that has not so far been given much scholarly attention.
Ham Sok Hon: Bridging Spirituality and Politics
Authors: Lee Song-Chong
Published: May 2024

This paper aims to offer an interpretation of Ham Sok Hon’s views on the dynamic relationship between religion and politics. While considerable discussion has already taken place in the Korean academic community across various fields, including philosophy, theology, and political science, many of which propose ssial philosophy as the metaphysical foundation of his political thoughts, there still remains a need for a more systematic understanding of their relationship, which I argue is closely linked to his concept of jeonilhwa gwajeong (the process of unification/integration). By exploring Ham’s unique analysis, particularly in relation to the notion of ipcheseong (stereoscopic/multi-dimensional), this paper will underscore their shared roots and objectives across different spheres of life: one pertaining to salim (human affairs) seeking the pursuit of fairness and equality, and the other dealing with spirituality, aspiring to grasp the sublime aspects of human existence. Both religion and politics, as these movements are termed, are mutually dependent, with their culmination promising peace and harmony in historical reality. Through highlighting Ham’s integrated perspective on religion and politics, I will ultimately suggest a specific discourse—civil religion—as a theoretical framework to effectively unravels Ham’s viewpoints.
The Dead in Vernacular Magic Practices among Bosniaks
Authors: Mencej Mirjam
Published: May 2024

Based on fieldwork research among the Bosniak (Muslim) population in rural areas of Bosnia and Herzegovina, this article starts with the technique of summoning the dead, aimed at obtaining information about missing goods. It argues that the practice of summoning the dead, like practices aimed at magically harming others, is based on the same moral rules that govern everyday relations between the living and the dead. While these rules are generally followed and observed in everyday life, they can also be deliberately inverted to one’s own advantage or to the disadvantage of others. Ultimately, I argue that the dead prove to be moral agents who act when moral norms are violated.
Implementation of MIMO Radar-Based Point Cloud Images for Environmental Recognition of Unmanned Vehicles and Its Application
Authors: Kim Jongseok , Khang Seungtae , Choi Sungdo , Eo Minsung , Jeon Jinyong
Published: May 2024

High-performance radar systems are becoming increasingly popular for accurately detecting obstacles in front of unmanned vehicles in fog, snow, rain, night and other scenarios. The use of these systems is gradually expanding, such as indicating empty space and environment detection rather than just detecting and tracking the moving targets. In this paper, based on our high-resolution radar system, a three-dimensional point cloud image algorithm is developed and implemented. An axis translation and compensation algorithm is applied to minimize the point spreading caused by the different mounting positions and the alignment error of the Global Navigation Satellite System (GNSS) and radar. After applying the algorithm, a point cloud image for a corner reflector target and a parked vehicle is created to directly compare the improved results. A recently developed radar system is mounted on the vehicle and it collects data through actual road driving. Based on this, a three-dimensional point cloud image including an axis translation and compensation algorithm is created. As a results, not only the curbstones of the road but also street trees and walls are well represented. In addition, this point cloud image is made to overlap and align with an open source web browser (QtWeb)-based navigation map image to implement the imaging algorithm and thus determine the location of the vehicle. This application algorithm can be very useful for positioning unmanned vehicles in urban area where GNSS signals cannot be received due to a large number of buildings. Furthermore, sensor fusion, in which a three-dimensional point cloud radar image appears on the camera image, is also implemented. The position alignment of the sensors is realized through intrinsic and extrinsic parameter optimization. This high-performance radar application algorithm is expected to work well for unmanned ground or aerial vehicle route planning and avoidance maneuvers in emergencies regardless of weather conditions, as it can obtain detailed information on space and obstacles not only in the front but also around them.
Learning-Based Non-Intrusive Electric Load Monitoring for Smart Energy Management
Authors: He Nian , Liu Dengfeng , Zhang Zhichen , Lin Zhiquan , Zhao Tiesong , Xu Yiwen
Published: May 2024

State-of-the-art smart cities have been calling for economic but efficient energy management over a large-scale network, especially for the electric power system. It is a critical issue to monitor, analyze, and control electric loads of all users in the system. In this study, a non-intrusive load monitoring method was designed for smart power management using computer vision techniques popular in artificial intelligence. First of all, one-dimensional current signals are mapped onto two-dimensional color feature images using signal transforms (including the wavelet transform and discrete Fourier transform) and Gramian Angular Field (GAF) methods. Second, a deep neural network with multi-scale feature extraction and attention mechanism is proposed to recognize all electrical loads from the color feature images. Third, a cloud-based approach was designed for the non-intrusive monitoring of all users, thereby saving energy costs during power system control. Experimental results on both public and private datasets demonstrate that the method achieves superior performances compared to its peers, and thus supports efficient energy management over a large-scale Internet of Things network.
Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application
Authors: Al Khuzayem Lama , Shafi Suha , Aljahdali Safia , Alkhamesie Rawan , Alzamzami Ohoud
Published: May 2024

Deaf and hard-of-hearing people mainly communicate using sign language, which is a set of signs made using hand gestures combined with facial expressions to make meaningful and complete sentences. The problem that faces deaf and hard-of-hearing people is the lack of automatic tools that translate sign languages into written or spoken text, which has led to a communication gap between them and their communities. Most state-of-the-art vision-based sign language recognition approaches focus on translating non-Arabic sign languages, with few targeting the Arabic Sign Language (ArSL) and even fewer targeting the Saudi Sign Language (SSL). This paper proposes a mobile application that helps deaf and hard-of-hearing people in Saudi Arabia to communicate efficiently with their communities. The prototype is an Android-based mobile application that applies deep learning techniques to translate isolated SSL to text and audio and includes unique features that are not available in other related applications targeting ArSL. The proposed approach, when evaluated on a comprehensive dataset, has demonstrated its effectiveness by outperforming several state-of-the-art approaches and producing results that are comparable to these approaches. Moreover, testing the prototype on several deaf and hard-of-hearing users, in addition to hearing users, proved its usefulness. In the future, we aim to improve the accuracy of the model and enrich the application with more features.
Online Measurement Method and System of Excitation Impedance of Current Transformers Based on Norton’s Theorem and Differential Method to Measure Difference of Two Currents
Authors: Gan Mengying , You Hongsen , Yuan Jiansheng
Published: May 2024

An online measurement method is proposed in this paper, and a system is established for detecting the excitation impedance of current transformers (CTs) based on Norton’s theorem. The theorem is carried out by connecting a resistance and an inductance at the secondary side port of the CT to get the equations for calculating the impedance. The iterative method is used to solve the equations, and the solution is revised to consider the nonlinearity of the core. The main variable in the equations is the variation of the secondary current with the resistance or inductance. To obtain the secondary current variation accurately, which is less than 1‰ of the current, a differential method is proposed, which is based on charging two capacitors and measuring the difference of their voltages instead of measuring each current separately first and then obtaining the current variation by subtraction. This is equivalent to saving two currents first and then measuring the current difference. The differential method avoids the problem of error amplification in the process of measuring two currents separately first and then subtracting them to obtain the current variation and solves the problem that two currents do not appear simultaneously. The results verify the correctness and accuracy of the proposed method and system. The acquisition of the excitation impedance is the basis for obtaining the working characteristics of CT cores, including magnetic and loss characteristics, as well as the error of CTs.
Review on Phase Synchronization Methods for Spaceborne Multistatic Synthetic Aperture Radar
Authors: Lin Qiang , Li Shiqiang , Yu Weidong
Published: May 2024

Multistatic synthetic aperture radar (SAR) is a special mode of SAR system. The radar transmitter and receiver are located on different satellites, which brings many advantages, such as flexible baseline configuration, diverse receiving modes, and more detailed ground object classification information. The multistatic SAR has been widely used in interferometry, moving target detection, three-dimensional imaging, and other fields. The frequency offset between different oscillators will cause a modulation phase error in the signal. Therefore, phase synchronization is one of the most critical problems to be addressed in distributed SAR systems. This article reviews phase synchronization techniques, which are mainly divided into two methods: synchronization by direct microwave link and synchronization by a data-based estimation algorithm. Furthermore, the future development of synchronization technology is anticipated.
Design of Mixed-Mode Analog PID Controller with CFOAs
Authors: Roongmuanpha Natchanai , Satansup Jetsdaporn , Pukkalanun Tattaya , Tangsrirat Worapong
Published: May 2024

The design of a mixed-mode proportional-integral-derivative (PID) controller circuit using current-feedback operational amplifiers (CFOAs) as active components is proposed. With the same circuit topology, the proposed configuration of three CFOAs, four resistors, and two capacitors is capable of performing the PID controller in each of the following four modes: voltage mode, trans-admittance mode, current mode, and trans-impedance mode. Numerous mathematical analyses are conducted to determine the controller’s performance under both ideal and non-ideal conditions. Additionally, the mixed-mode second-order lowpass filter is suggested and also used to examine the workability of the proposed mixed-mode PID controller in a feedback control structure. The proposed PID controller is implemented with the commercially available IC-type CFOA AD844, and the simulation results are presented to illustrate the functionality of the controller and its closed-loop control system. According to the findings, the total power consumption of the proposed PID controller is 0.348 W, with symmetrical supply voltages of ±9 V. It also has a temperature variation of less than 0.2% over the AD844’s usable range. Monte Carlo statistical analysis results revealed that the gain responses of the controller exhibited a deviation of no more than 7.72% from the theoretical value. The controlled filter in a closed-loop control system has a 43% faster rise time and peak time than the uncontrolled filter in all four modes of operation. It also has a steady-state error less than 0.2 mV for voltage responses and 0.72 µA for current responses.
A Co-Localization Algorithm for Underwater Moving Targets with an Unknown Constant Signal Propagation Speed and Platform Errors
Authors: Liu Yang , He Long , Fan Gang , Wang Xue , Zhang Ya
Published: May 2024

Underwater mobile acoustic source target localization encounters several challenges, including the unknown propagation speed of the source signal, uncertainty in the observation platform’s position and velocity (i.e., platform systematic errors), and economic costs. This paper proposes a new two-step closed-form localization algorithm that jointly estimates the angle of arrival (AOA), time difference of arrival (TDOA), and frequency difference of arrival (FDOA) to address these challenges. The algorithm initially introduces auxiliary variables to construct pseudo-linear equations to obtain the initial solution. It then exploits the relationship between the unknown and auxiliary variables to derive the exact solution comprising solely the unknown variables. Both theoretical analyses and simulation experiments demonstrate that the proposed method accurately estimates the position, velocity, and speed of the sound source even with an unknown sound speed and platform systematic errors. It achieves asymptotic optimality within a reasonable error range to approach the Cramér–Rao lower bound (CRLB). Furthermore, the algorithm exhibits low complexity, reduces the number of required localization platforms, and decreases the economic costs. Additionally, the simulation experiments validate the effectiveness of the proposed localization method across various scenarios, outperforming other comparative algorithms.
Digital Competencies in Verifying Fake News: Assessing the Knowledge and Abilities of Journalism Students
Authors: López-Meri Amparo , Doménech-Fabregat Hugo , Marcos-García Silvia
Published: May 2024

The surge of disinformation in the digital sphere following the COVID-19 pandemic presents a considerable threat to democratic principles in contemporary societies. In response, multiple fact-checking platforms and citizen media literacy initiatives have been promoted. The fact checker has indeed become a new professional profile demanded by the sector. In this context, this research delves into the study of digital skills applied to information verification by journalism students. Adopting a comprehensive understanding of digital skills that extends beyond technical proficiency to encompass a shift in mindset, journalism students’ perceptions of their verification abilities are examined using a quantitative survey technique. This examination is based on an original list of competencies prepared specifically for this study. The results indicate that journalism students demonstrate awareness of the implications of disinformation, exhibiting scepticism towards content from unfamiliar sources or displaying clear signs of deceptive intent. Furthermore, they emphasise the importance of verification and fact-checking practices and express confidence in their proficiency in analysis, critical thinking, and social skills. However, their confidence in handling computer applications for verification and specialisation in data journalism is comparatively lower. Notably, significant gender disparities were observed in these areas, with women exhibiting greater confidence in social skills, collaborative work, and innovation, while men displayed a heightened proficiency in computer applications. Consequently, there is a need for improvements in teaching practices, which could potentially create new job opportunities for journalism students.
Enhanced Nitrate Nitrogen Removal from Wastewater Using Modified Reed Straw: Adsorption Performance and Resource Utilization
Authors: Zhang Haodong , Yang Zhan , Tian Jiawang , Liu Changyi , Qin Zhe
Published: May 2024

This paper presents a study on the efficient removal of nitrate nitrogen from wastewater using modified reed straw (MRS) and its subsequent resource utilization. The modification of the reed straw involved the introduction of branching quaternary amine groups to enhance its adsorption capacity for nitrate nitrogen. Experimental investigations were conducted to analyze the impact of packing height, flow rate, and initial solution concentration on the dynamic adsorption performance of the MRS. The results revealed that the maximum dynamic adsorption capacity of the MRS for nitrate nitrogen reached 14.76 mg/g. Furthermore, valuable nitrate nitrogen nutrient solution was successfully recovered through subsequent desorption experiments for resource recycling. Moreover, the application of the MRS led to notable enhancements in column height, fresh weight, chlorophyll content, and nitrogen content of the treated plants, indicating its efficacy in promoting plant growth. Overall, the findings demonstrate that MRS serves as a versatile adsorbent capable of efficient nitrate nitrogen removal and subsequent resource utilization.
Effects of Soils on Environmental Stability of Spent Mg-Based and Ca-Based Adsorbents Containing Arsenite
Authors: Sugita Hajime , Morimoto Kazuya , Saito Takeshi , Hara Junko
Published: May 2024

Spent adsorbents used in As removal treatment may re-leach As. In this study, the effects of soil on spent Mg-based and Ca-based adsorbents were investigated. The spent adsorbents containing arsenite (As(III)) were prepared by adsorbing As(III) on MgO, Mg(OH)2, CaO, and Ca(OH)2 powder reagents. Kuroboku soil (Ku), yellow-brown forest soil (YF), Kanuma soil (Ka), river sand (RS), and mountain sand (MS) were used as soil samples. The As leaching ratio was examined in coexistence with soil via shaking tests, and the results were compared with those of a previous study on adsorbents containing arsenate (As(V)). The environmental stability of the spent adsorbents was found to vary greatly depending on the combination of the As valence, adsorbent type, and soil type. However, regardless of the adsorbent or soil type, the spent adsorbents containing As(III) were more likely to leach As than those containing As(V). Additionally, the As leaching ratio was generally lower in Ku and YF and higher in Ka, RS, and MS. For environmentally friendly and sustainable As removal treatment, disposal, and management, the selection of MgO as the adsorbent and treatment involving the oxidation treatment of As(III) to As(V) before adsorbing As onto adsorbents are recommended.
Life Cycle Assessment of Wheat Straw Pyrolysis with Volatile Fractions Chemical Looping Combustion
Authors: Mendiara Teresa , Navajas Alberto , Abad Alberto , Pröll Tobias , Munárriz Mikel , Gandía Luis M. , García-Labiano Francisco , de Diego Luis F.
Published: May 2024

Among the approaches to facilitating negative CO2 emissions is biochar production. Biochar is generated in the pyrolysis of certain biomasses. In the pyrolysis process, carbon in the biomass is turned into a solid, porous, carbon-rich, and stable material that can be captured from the soil after a period of from a few decades to several centuries. In addition to this long-term carbon sequestration role, biochar is also beneficial for soil performance as it helps to restore soil fertility and improves the retention and diffusion of water and nutrients. This work presents a Life Cycle Assessment of different pyrolysis approaches for biochar production. Biomass pyrolysis is performed in a fixed-bed reactor, which operates at a mild temperature (550 °C). Biochar is obtained as solid product of the pyrolysis, but there are also liquid (bio-oil) and gaseous products (syngas). The pyrolysis gas is partly used to fulfil the energy demand of the pyrolysis process, which is highly endothermic. In the conventional approach, CO2 is produced during the combustion of syngas and emitted to the atmosphere. Another approach to facilitate CO2 capture and thus obtain more negative CO2 emissions in the pyrolysis process is burning syngas and bio-oil in a Chemical Looping Combustion unit. Life Cycle Assessment was performed of these approaches toward biomass pyrolysis to evaluate their environmental impact. The Chemical Looping Combustion approach significantly reduced the values of 7 of the 16 environmental impact indicators studied, along with the Global Warming Potential among them, it slightly increased the value of one indicator related to the use of fossil resources, and it maintained the values of the remaining 8 indicators. Environmental impact reduction occurs due to the avoidance of CO2 and NOx emissions with Chemical Looping Combustion. The CO2 balances of the different pyrolysis approaches with Chemical Looping Combustion configurations were compared with a base case, which constituted the direct combustion of wheat straw to obtain thermal energy. Direct biomass combustion for the production of 17.1 MJ of thermal energy had CO2 positive emissions of 0.165 kg. If the gaseous fraction was burned by Chemical Looping Combustion, CO2 was captured and the emissions became increasingly negative, until a value of −3.30 kg/17.1 MJ was generated. If bio-oil was also burned by this technology, the negative trend of CO2 emissions continued, until they reached a value of −3.66 kg.
Utilizing Biofertilizer for Achieving Sustainable Agriculture and Rural Development Strategy towards Vision 2040, Oman
Authors: Asad Muzaffar , Ahmed Saud Yousuf
Published: May 2024

The agriculture industry in the Western world is increasingly using biofertilizers, considering the environmental aspects and organic food. Sustainability in agriculture is the primary priority of the government of the Sultanate of Oman. In order to improve and develop the agricultural sector for community development, the government of Oman is paying special attention to its Vision 2040 in line with sustainable development goals. Hence, the aim of the research is to analyze the behavioral aspects of farmers and farmholders towards utilizing biofertilizers for saving the environment as well as providing organic food and bringing sustainability to the agriculture sector of the country. In order to meet the objectives of the study mixed method research has been used. An interview guide has been developed, a questionnaire has also been developed, and the instruments have been approved by the experts. The interview data were analyzed, and afterward, primary data were collected. To test the hypothesis and the framework, Smart PLS 3 has been used. The findings identified that farmers in Oman are reluctant to use biofertilizers because of a lack of awareness, but yet they are using it up to some extent and the proposed model has proven to be significant. The findings are useful not only for the policymakers but also for the practitioners who can obtain guidance about the benefits they can gain from the use of biofertilizers.
A Two-Stage Data Envelopment Analysis Approach Incorporating the Global Bounded Adjustment Measure to Evaluate the Efficiency of Medical Waste Recycling Systems with Undesirable Inputs and Outputs
Authors: Song Wen-Jing , Ren Jian-Wei , Chen Chun-Hua , Feng Chen-Xi , Li Lin-Qiang , Ma Chong-Yu
Published: May 2024

With the ever-increasing focus on sustainable development, recycling waste and renewable use of waste products has earned immense consideration from academics and policy makers. The serious pollution, complex types, and strong infectivity of medical waste have brought serious challenges to management. Although several researchers have addressed the issue by optimizing medical waste management networks and systems, there is still a significant gap in systematically evaluating the efficiency of medical waste recycling systems. Therefore, this paper proposes a two-stage data envelopment analysis (DEA) approach that combines the virtual frontier and the global bounded adjustment measure (BAM-VF-G), considering both undesirable inputs and outputs. In the first stage, the BAM-G model is used to evaluate the efficiency of medical waste recycling systems, and the BAM-VF-G model is used to further rank super-efficient medical waste recycling systems. In the second stage, two types of efficiency decomposition models are proposed. The first type of models decompose unified efficiency into production efficiency (PE) and environment efficiency (EE). Depending upon the system structure, the second type of models decompose unified efficiency into the efficiency of the medical waste collection and transport subsystem (MWCS) and the efficiency of the medical waste treatment subsystem (MWTS). The novel approach is used to measure the efficiency of the medical waste recycling systems in China’s new first-tier cities, and we find that (1) Foshan ranks the highest in efficiency, followed by Tianjin and Qingdao, with efficiency values of 0.386, 0.180, and 0.130, respectively; (2) the EE lacks resilience and fluctuated the most from 2017 to 2022; and (3) the efficiency of MWCSs has always been lower than that of MWTSs and is a critical factor inhibiting the overall efficiency of medical waste recycling systems.
Optimizing Business-to-Business Customer Satisfaction Analysis through Advanced Two-Stage Clustering: Insights from Industrial Parks
Authors: Wang Jian , Yue Lingling
Published: May 2024

Traditional research on customer satisfaction (CS) estimation has focused on the business-to-customer (BTC) business mode. Customers in the BTC mode have been assumed to be familiar with the full range of services or products and to be able to make estimations of their CS. However, in the business-to-business (BTB) mode, diverse services have often been required and provided. It may be difficult to find members who have experience with all kinds of services or to generate common CS estimation results supported by different members. In this study, the difference between BTC and BTB was verified using structural equation modeling (SEM), and a model of CS estimation was developed with respect to BTB. The empirical results show that perceived service quality has no direct impact on enterprise satisfaction, indicating that traditional models are limited. A two-stage clustering algorithm was adopted to optimize the traditional CS evaluation model based on SEM, i.e., (1) K-nearest neighbor (KNN) classification and (2) density-based spatial clustering of applications with noise (DBSCAN). In order to verify the feasibility of the proposed model, CS with respect to six industrial parks was estimated empirically. The results show that the proposed model can improve the results of CS estimation compared with the results obtained using traditional methods. During the clustering process, each park generated and eliminated a certain number of noise points to optimize the satisfaction evaluation results. Specifically, park A generated and eliminated seven noise points, while park C generated and eliminated five noise points. The results of the satisfaction evaluation of each park obtained using the proposed model are more realistic, i.e., park A > park B > park C > park E > park D > park F. The proposed model extends the existing research on CS estimation in theory and can support applications in the BTB business mode.
ICT-Enabled Education for Sustainability Justice in South East Asian Universities
Authors: Makrakis Vassilios , Biasutti Michele , Kostoulas-Makrakis Nelly , Ghazali Munirah , Othman Widad , Ali Mohammad , Fitriyanto Nanung Agus , Mavrantonaki Katerina
Published: May 2024

This study aims to investigate the role of Information and Communication Technologies-enabled Education for Sustainability (ICTeEfS), critical reflection, and transformative teaching and learning beliefs in predicting students’ attitudes about seeking sustainability justice. A total of 1497 students from seven universities in Indonesia (374), Malaysia (426), and Vietnam (697) trialed four new scales measuring (a) knowledge of merging ICT with education for sustainability, (b) critical reflective practice, (c) sustainability justice attitudes, and (d) transformative teaching and learning beliefs. The findings show that the four scales are reliable and could be used in other research on education for sustainability. Differences were observed for gender, year of study, subject of study, ICT skills, and knowledge of education for sustainability. Regression analysis highlighted that sustainability justice is a multidimensional concept composed of several constructs with a specific reference to critical reflection, transformative teaching and learning beliefs. The implications for education, practice and further research are discussed.
Interrelationships and Trade-Offs between Urban Natural Space Use and Biodiversity
Authors: Prioreschi Elena , Zimmermann Nici , Davies Michael , Pluchinotta Irene
Published: May 2024

Urban natural spaces provide important ecosystem services and a wide range of health- and well-being-related benefits for their visitors. They are also essential spaces for biodiversity protection and promotion in a world of rising urbanisation rates and worsening impacts of climate change. However, these spaces are often underutilised by urban residents. When they are utilised, this usage often leads to some level of environmental degradation and biodiversity loss. Hence, understanding how to promote both use and biodiversity levels in urban natural spaces is critical. While various reports have studied the broad factors associated with urban natural space use, the specific relationship between biodiversity and use remains to be explored. This paper uses a Systems Thinking approach to unpack the complex relationship between urban natural space use and biodiversity and to help guide the design and management of these spaces in a way that promotes both use and biodiversity. With data collected from a systematic literature review, a causal loop diagram (CLD) was constructed and analysed. The CLD construction and analysis highlighted various key factors that play an important role in relating urban natural space use and biodiversity. Among these is the role of individual and social perceptions and values in determining how biodiversity levels will affect usage, and vice versa. The results were applied to a case study: the Thamesmead regeneration project undertaken by the social housing association Peabody. We made recommendations regarding Peabody’s biodiversity and green infrastructure plans for Thamesmead, presenting new design and maintenance techniques and assessing various existing techniques mentioned in the documents. Through the CLD analysis, we uncovered various unintended consequences from common design and maintenance techniques and discuss these trade-offs and relationships.
Reducing Methane Emissions with Humic Acid–Iron Complex in Rice Cultivation: Impact on Greenhouse Gas Emissions and Rice Yield
Authors: Lee Hyoung-Seok , Gwon Hyo-Suk , Lee Sun-Il , Park Hye-Ran , Lee Jong-Mun , Park Do-Gyun , Lee So-Ra , Eom So-Hyeon , Oh Taek-Keun
Published: May 2024

Methane emissions from flooded rice paddies are a major source of atmospheric methane and represent a significant greenhouse gas with high climate-forcing potential due to anthropogenic activities globally. For sustainable agriculture, it is necessary to find effective methods for mitigating greenhouse gas emissions without reducing crop productivity. We investigated mechanisms to reduce methane emissions during rice cultivation by applying rice straw, rice husk biochar, humic acid, and a humic acid–iron complex, assessing greenhouse gases and rice yield over a single season. The results demonstrated that the treatment plots with rice straw and the humic acid–iron complex significantly reduced methane emissions (563 ± 113.9 kg ha−1) by 34.4% compared to plots treated with rice straw alone (859 ± 126.4 kg ha−1). Rice yield was not compromised compared to the control group treated with only NPK fertilizer, and growth in terms of plant height and tiller number was enhanced in the plots treated with rice straw and the humic acid–iron complex. Conversely, the plots treated solely with rice husk biochar and humic acid did not show a methane reduction effect when compared to the NPK treatment. The humic acid–iron complex has demonstrated potential as a methane mitigation agent with practical applicability in the field, warranting further long-term studies to validate its effectiveness.
Predictors of Adopting a Sustainability Policy in Museums
Authors: Pop Izabela Luiza , Ighian Diana Sabina , Toader Rita Monica , Hahn Rada Florina
Published: May 2024

This paper aims to identify certain factors that may influence museums’ success in adopting and implementing a sustainability policy. The research hypotheses were formulated based on an in-depth study of the literature and subsequently tested using classical linear regression methodology. The empirical research is based on 86 Romanian national questionnaires collected in October and November 2016, which tracked museums’ self-reported sustainability practices. To examine the relationships between sustainability policy and independent variables, we developed three generalized linear regression models. Our results revealed that environmental behavior and some components of social responsibility (heritage exposure and community involvement) have a positive impact on implementing sustainability policies and principles within museums. Surprisingly, economic performance did not prove to have a significant influence on sustainability policy, suggesting that financial autonomy, efficiency, and productivity are not essential elements in fostering a sustainable mindset within museums. The developed models serve as valuable tools for museum managers, providing guidance in adopting appropriate managerial decisions to achieve sustainability goals. Furthermore, the empirical research offers new insights that enhance and advance current knowledge and research in the field of sustainable management in museums.
Compressive Strength, Permeability, and Abrasion Resistance of Pervious Concrete Incorporating Recycled Aggregate
Authors: Bai Xixuan , Zhou Heng , Bian Xiaoya , Chen Xuyong , Ren Chengqiang
Published: May 2024

Extensive use of cement in the construction industry increases CO2 emissions and has a negative impact on the environment. In this work, recycled coarse aggregate (RCA) from construction and demolition wastes (C&DW) was used to fabricate sustainable pervious concrete (PC). In order to mitigate the environmental hazards of excess cement waste and to improve the engineering properties of PC, silica fume (SF) and ground granulated blast-furnace slag (GGBS) were added. The effects of SF and GGBS on the compressive strength, permeability coefficient, porosity, and abrasion resistance of recycled aggregate pervious concrete (RAPC) were investigated. The results show that the incorporation of GGBS and SF effectively improves the compressive strength of RAPC but reduces the permeability coefficient and porosity. Moreover, due to the filling effect and pozzolanic activity, the incorporation of GGBS and SF significantly enhances the abrasion resistance of RAPC. Furthermore, the relationships between the compressive strength, permeability coefficient, porosity, and abrasion resistance of RAPC are clarified. The optimum replacement is achieved when the SF content is 7%, and the GGBS content is 20%, respectively, which results in the highest compressive strength (28.9 MPa) and the lowest permeability coefficient (1.2 mm/s) at 28 days, and the lowest mass loss rate (12.1%) after the Cantabro abrasion test.
Appraisal of Spatial Distribution and Fibre Degradability of Cereal–Legume Fodders to Enhance the Sustainability of Livestock Feed Supply in Sub-Tropics
Authors: Tahir Muhammad Naeem , Ihsan Muhammad Zahid , Siddiqui Manzer H. , Ul Haque Muhammad Naveed , Zahra Naveed , Chattha Waqas Shafqat , Bajwa Ali Ahsan
Published: May 2024

Fodder scarcity, inadequate nutritional quality, and lack of degradation kinetics research are among the serious concerns hindering sustainable development of livestock globally. Rumen degradation kinetics data on neutral detergent fibre (NDF) in buffaloes are lacking for most tropical forage species. This study evaluated the effect of forage species, family, and growing location on NDF concentration and in situ degradability of six tropical cereal and four legume fodder crops. The fodder crops were grown following uniform recommended agronomic practices at three different agroecological locations and harvested at the appropriate growth stage: cereals at booting and legumes at 50% flowering. Later, the dried ground forage samples were incubated in the four rumen-cannulated Nili-Ravi buffalo cows in a four × two × three split-plot design for 0, 4, 8, 16, 24, 48, 96, and 168 h. The degradation fractions and degradability, expressed either on an NDF or dry matter basis, were considerably affected by forage family (cereal vs. legume) and growing locations and their interaction. Legume fodders degraded more rapidly but to a lesser extent than cereal fodders. The chemical components, notably the NDF, showed a significant but moderate negative relationship with the effective NDF degradability. Among studied fodders, the legumes had a significantly lower NDF concentration and subsequent degradability than the cereals. Although the cereals showed a slower rate of NDF degradation, their overall degradability was higher. The agro-climatic variability among three locations strongly impacted the NDF concentrations and fractions in the tropical forages. Effective NDF degradability was also correlated with the fodders’ NDF concentration, especially in cereals where the nature of the correlation was negative. In conclusion, the nutritional composition and NDF degradation parameters of the fodders were significantly affected by the species, family, and location of growth and their interactions. These results will help to improve agronomy and usage of these important fodder crops.
Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead
Authors: Tumminello Maria Luisa , Macioszek Elżbieta , Granà Anna
Published: May 2024

This paper explores the domain of intelligent transportation systems, specifically focusing on roundabouts as potential solutions in the context of smart mobility. Roundabouts offer a safer and more efficient driving environment compared to other intersections, thanks to their curvilinear trajectories promoting speed control and lower vehicular speeds for traffic calming. The synthesis review supported the authors in presenting current knowledge and emerging needs in roundabout design and evaluation. A focused examination of the models and methods used to assess safety and operational performance of roundabout systems was necessary. This is particularly relevant in light of new challenges posed by the automotive market and the influence of vehicle-to-vehicle communication on the conceptualization and design of this road infrastructure. Two case studies of roundabouts were analyzed in Aimsun to simulate the increasing market penetration rates of connected and autonomous vehicles (CAVs) and their traffic impacts. Through microscopic traffic simulation, the research evaluated safety and performance efficiency advancements in roundabouts. The paper concludes by outlining areas for further research and evolving perspectives on the role of roundabouts in the transition toward connected and autonomous vehicles and infrastructures.
Identification of Important Wetlands and Optimization of Landscape Patterns Based on Human Pressure Index: The Case of the Linghekou Wetland in China
Authors: Wang Meiqing , Cheng Qian , Chen Ruixin
Published: May 2024

The Linghekou wetland is a rich repository of ecological resources and serves as an important habitat for numerous rare and protected animals. However, due to a confluence of natural and anthropogenic factors, the ecological environment of the Linghekou wetland is facing a multitude of threats, including the reduction in wetland area, the degradation of wetland resources, and the instability of ecological structure. This paper employs an anthropogenic focus, utilizing the human pressure index (HPI), spatial autocorrelation, and cold and hot spot methods to identify crucial wetlands. These identified wetlands are then utilized as ecological source sites to optimize the landscape pattern of the Linghekou wetland, employing the minimum cumulative resistance (MCR) model. The final results indicated the identification of 6 ecological sources, 8 ecological corridors, and 42 ecological nodes. These were primarily concentrated in the southern region of the study area and were distributed in a reasonable manner. The method of identifying ecological sources when optimizing the landscape pattern with the MCR model was enriched by this approach. Additionally, the paper offers recommendations for the optimization of the landscape pattern of the Linghekou wetland and establishes a foundation for the protection and restoration of other similar wetlands.