bluuebunny/crossref_metadata_2025 huggingface dataset:
Antifungal Plant Defensins as an Alternative Tool to Combat Candidiasis
Authors: Finkina Ekaterina I. , Shevchenko Olga V. , Fateeva Serafima I. , Tagaev Andrey A. , Ovchinnikova Tatiana V.
Published: May 2024

Currently, the spread of fungal infections is becoming an urgent problem. Fungi of the Candida genus are opportunistic microorganisms that cause superficial and life-threatening systemic candidiasis in immunocompromised patients. The list of antifungal drugs for the treatment of candidiasis is very limited, while the prevalence of resistant strains is growing rapidly. Therefore, the search for new antimycotics, including those exhibiting immunomodulatory properties, is of great importance. Plenty of natural compounds with antifungal activities may be extremely useful in solving this problem. This review evaluates the features of natural antimicrobial peptides, namely plant defensins as possible prototypes of new anticandidal agents. Plant defensins are important components of the innate immune system, which provides the first line of defense against pathogens. The introduction presents a brief summary regarding pathogenic Candida species, the pathogenesis of candidiasis, and the mechanisms of antimycotic resistance. Then, the structural features of plant defensins, their anticandidal activities, their mechanisms of action on yeast-like fungi, their ability to prevent adhesion and biofilm formation, and their combined action with conventional antimycotics are described. The possible mechanisms of fungal resistance to plant defensins, their cytotoxic activity, and their effectiveness in in vivo experiments are also discussed. In addition, for the first time for plant defensins, knowledge about their immunomodulatory effects is also presented.
Ginkgo biloba Sex Identification Methods Using Hyperspectral Imaging and Machine Learning
Authors: Chen Mengyuan , Lin Chenfeng , Sun Yongqi , Yang Rui , Lu Xiangyu , Lou Weidong , Deng Xunfei , Zhao Yunpeng , Liu Fei
Published: May 2024

Ginkgo biloba L. is a rare dioecious species that is valued for its diverse applications and is cultivated globally. This study aimed to develop a rapid and effective method for determining the sex of a Ginkgo biloba. Green and yellow leaves representing annual growth stages were scanned with a hyperspectral imager, and classification models for RGB images, spectral features, and a fusion of spectral and image features were established. Initially, a ResNet101 model classified the RGB dataset using the proportional scaling–background expansion preprocessing method, achieving an accuracy of 90.27%. Further, machine learning algorithms like support vector machine (SVM), linear discriminant analysis (LDA), and subspace discriminant analysis (SDA) were applied. Optimal results were achieved with SVM and SDA in the green leaf stage and LDA in the yellow leaf stage, with prediction accuracies of 87.35% and 98.85%, respectively. To fully utilize the optimal model, a two-stage Period-Predetermined (PP) method was proposed, and a fusion dataset was built using the spectral and image features. The overall accuracy for the prediction set was as high as 96.30%. This is the first study to establish a standard technique framework for Ginkgo sex classification using hyperspectral imaging, offering an efficient tool for industrial and ecological applications and the potential for classifying other dioecious plants.
An Integrated Analysis of Anatomical and Sugar Contents Identifies How Night Temperatures Regulate the Healing Process of Oriental Melon Grafted onto Pumpkin
Authors: Liang Huan , Liu Jiangfeng , Shi Xianfeng , Ge Mihong , Zhu Juhong , Wang Dehuan , Zhou Mobing
Published: May 2024

Graft healing is a complex process affected by environmental factors, with temperature being one of the most important influencing factors. Here, oriental melon grafted onto pumpkin was used to study changes in graft union formation and sugar contents at the graft interface under night temperatures of 18 °C and 28 °C. Histological analysis suggested that callus formation occurred 3 days after grafting with a night temperature of 28 °C, which was one day earlier than with a night temperature of 18 °C. Vascular reconnection with a night temperature of 28 °C was established 2 days earlier than with a night temperature of 18 °C. Additionally, nine sugars were significantly enriched in the graft union, with the contents of sucrose, trehalose, raffinose, D–glucose, D–fructose, D–galactose, and inositol initially increasing but then decreasing. Furthermore, we also found that exogenous glucose and fructose application promotes vascular reconnection. However, exogenous sucrose application did not promote vascular reconnection. Taken together, our results reveal that elevated temperatures improve the process of graft union formation through increasing the contents of sugars. This study provides information to develop strategies for improving grafting efficiency under low temperatures.
Valorization of Tomato Agricultural Waste for 3D-Printed Polymer Composites Based on Poly(lactic acid)
Authors: Pemas Sotirios , Gkiliopoulos Dimitrios , Samiotaki Christina , Bikiaris Dimitrios N. , Terzopoulou Zoi , Pechlivani Eleftheria Maria
Published: May 2024

Agricultural waste is a renewable source of lignocellulosic components, which can be processed in a variety of ways to yield added-value materials for various applications, e.g., polymer composites. However, most lignocellulosic biomass is incinerated for energy. Typically, agricultural waste is left to decompose in the fields, causing problems such as greenhouse gas release, attracting insects and rodents, and impacting soil fertility. This study aims to valorise nonedible tomato waste with no commercial value in Additive Manufacturing (AM) to create sustainable, cost-effective and added-value PLA composites. Fused Filament Fabrication (FFF) filaments with 5 and 10 wt.% tomato stem powder (TSP) were developed, and 3D-printed specimens were tested. Mechanical testing showed consistent tensile properties with 5% TSP addition, while flexural strength decreased, possibly due to void formation. Dynamic mechanical analysis (DMA) indicated changes in storage modulus and damping factor with TSP addition. Notably, the composites exhibited antioxidant activity, increasing with higher TSP content. These findings underscore the potential of agricultural waste utilization in FFF, offering insights into greener waste management practices and addressing challenges in mechanical performance and material compatibility. This research highlights the viability of integrating agricultural waste into filament-based AM, contributing to sustainable agricultural practices and promoting circular economy initiatives.
Influence of Cutting Regime Parameters on Determining the Main Cutting Resistance during Polypropylene Machining
Authors: Prvulović Slavica , Mošorinski Predrag , Josimović Ljubiša , Tolmač Jasna , Djordjević Luka , Djurdjev Mića , Bakator Mihalj , Radišić Branislava , Bajić Dejan
Published: May 2024

This study examines the impact of cutting regimes on determining cutting resistance in the processing of polypropylene (PP) using the CNC lathe EMCO F5. The rationale for this research stems from polypropylene’s rarity among thermoplastics in possessing structural stability, allowing for its comparison to metals and practical application in products replacing metal parts. Leveraging its favorable mechanical properties, polypropylene finds utility in producing parts subject to dynamic loads, boasting high resistance to impact loads—particularly undesirable in machining. An advantageous characteristic of polypropylene is its affordability, rendering it an economical choice across numerous applications. Despite these merits, polypropylene’s exploration in cutting processing remains limited, underscoring the novelty of this research endeavor. The main method for determining cutting resistance involves measuring electric current strength during processing. This direct measurement, facilitated by input cutting regime parameters, is recorded by the PLC controller, with the current value extracted from the machine tool’s ammeter. The experimental approach entails varying cutting regime parameters—cutting speed (v), feed rate (s), and depth of cut (a)—across minimum and maximum values, recognized as pivotal factors influencing cutting force development and the attainment of the desired machined surface quality.
A Numerical Model to Predict the Relaxation Phenomena in Thermoset Polymers and Their Effects on Residual Stress during Curing, Part II: Numerical Evaluation of Residual Stress
Authors: Verde Raffaele , D’Amore Alberto , Grassia Luigi
Published: May 2024

This article proposes a numerical routine to predict the residual stresses developing in an epoxy component during its curing. The scaling of viscoelastic properties with the temperature and the degree of conversion is modeled, adopting a mathematical formulation that considers the concurrent effects of curing and structural relaxation on the epoxy’s viscoelastic relaxation time. The procedure comprises two moduli: at first, the thermal–kinetical problem is solved using the thermal module of Ansys and a homemade routine written in APDL, then the results in terms of temperature and the degree of conversion profiles are used to evaluate the viscoelastic functions, and the structural problem is solved in the mechanical module of Ansys, allowing the residual stresses calculation. The results show that the residual stresses mainly arise during cooling and scale with the logarithm of the Biot number.
The Potential Valorization of Corn Stalks by Alkaline Sequential Fractionation to Obtain Papermaking Fibers, Hemicelluloses, and Lignin—A Comprehensive Mass Balance Approach
Authors: Puițel Adrian Cătălin , Bălușescu Georgiana , Balan Cătălin Dumitrel , Nechita Mircea Teodor
Published: May 2024

The current study deals with an examination of strategies for the sequential treatment of corn stalks (CSs) in an integrated manner aiming to obtain papermaking fibers and to recover both lignin and hemicelluloses (HCs). Several pathways of valorization were experimentally trialed, focusing on getting information from mass balance analysis in an attempt to reveal the potential outcomes in terms of pulp yield, chemical composition, and papermaking properties such as tensile and burst strength. The raw lignin amounts and purity as well as separated hemicelluloses were also characterized. In this work, pulp yields in the range of 44–50% were obtained from CSs, while lignin and hemicelluloses yielded maximum values of 10 g/100 g of CS and 6.2 g/100 g of CS, respectively. Other findings of mass balance analysis evidenced that besides the papermaking pulp, the lignin and HCs also have interesting output values. The recovered lignin yield values were shown to be less than 50% in general, meaning that even if 67 to 90% of it is removed from CSs, only about half is recovered. The removal rates of hemicelluloses were found to be in the range of approx. 30 to 60%. About 15 to 25% of the original HCs could be recovered, and polysaccharides-based products with 67 to 75% xylan content could be obtained. Some key opinions were developed regarding how the mass balance could turn as a result of the chosen CS valorization set-up. The determined antioxidant activity showed that both lignin and hemicelluloses had interesting values for IC50.
Depollution of Polymeric Leather Waste by Applying the Most Current Methods of Chromium Extraction
Authors: Codreanu (Manea) Ana-Maria Nicoleta , Stefan Daniela Simina , Kim Lidia , Stefan Mircea
Published: May 2024

The leather industry is one of the most polluting industries in the world due to the large amounts of waste following raw hide processing but also due to the high content of chemical substances present in leather waste. The main problem with chromium-tanned leather solid waste is related to the storage, due to the ability of chromium to leach into soil or water, and also owing to the high ability of trivalent chromium to oxidize to its toxic form, hexavalent chromium. The purpose of this article is to present the most current methods of chromium extraction from solid tanned leather waste in order to obtain non-polluting leather, which can constitute secondary raw material in new industrial processes. The extraction methods identified in the present study are based on acid/basic/enzymatic hydrolysis and substitution with the help of organic chelators (organic acids and organic acid salts). In addition, this study includes a comparative analysis of the advantages and disadvantages of each identified extraction method. At the same time, this study also presents alternative chromium extraction methods based on the combination of conventional extraction methods and ultrasound-assisted extraction.
A Cellulose-Based Dual-Crosslinked Framework with Sensitive Shape and Color Changes in Acid/Alkaline Vapors
Authors: Sun Yuxin , Qian Xinye , Gou Yan , Zheng Chunling , Zhang Fang
Published: May 2024

Cellulose detectors, as green sensors, are some of the defensive mechanisms of plants which combat environmental stresses. However, extracted cellulose struggles to fulfil these functionalities due to its rigid physical/chemical properties. In this study, a novel cellulose dual-crosslinked framework (CDCF) is proposed. This comprises a denser temporary physical crosslinking bond (hydrogen bonding) and a looser covalent crosslinking bond (N,N-methylenebisacrylamide), which create deformable spaces between the two crosslinking sites. Abundant pH-sensitive carboxyl groups and ultralight, highly porous structures make CDCF response very sensitive in acid/alkaline vapor environments. Hence, a significant shrinkage of CDCF was observed following exposure to vapors. Moreover, a curcumin-incorporated CDCF exhibited dual shape and color changes when exposed to acid/alkaline vapors, demonstrating great potential for the multi-detection of acid/alkaline vapors.
Bioprocess Design and Evaluation of Hydrothermal Hydrolysates from Sargassum sp. for Enhancing Arthrospira platensis Growth and Protein Content
Authors: Cabello-Galindo Alejandra , Rodríguez-Jasso Rosa M. , Cid-Ibarra Gabriela , González-Gloria K. D. , Belmares Ruth , Govea-Salas Mayela , Colla Luciane Maria , Ruiz Héctor A.
Published: May 2024

The proliferation of Sargassum biomass in various coastal areas has led to environmental and socio-economic problems. However, due to their unique composition, these biomasses offer versatile applications, prompting research into their potential in third-generation biorefineries. In this study, the hydrothermal processing of Sargassum sp. was evaluated under specific conditions at 190 °C/50 min and 150 °C/30 min. The resulting hydrolysates (liquid phase) were used as alternative culture media for cultivation. Nine treatments for the cultivation of Arthrospira platensis were assessed, varying the concentration of hydrothermal hydrolysates (HH) at 190 °C/50 min: T1 (5% v/v), T2 (10% v/v), and T3 (15% v/v). T4 (5% v/v), T5 (10% v/v), and T6 (15% v/v), maintaining the same HH conditions, and with the addition of 0.7 g/L NaNO3; and treatments T7, T8, and T9 had concentrations of 5%, 10%, and 15% of HH, respectively, at 150 °C/30 min with the addition of 0.7 g/L NaNO3, respectively. Each treatment was inoculated with 15% (v/v) of A. platensis. Growth kinetics were performed by sampling every three days for 24 days. Quantification of soluble proteins was performed for the best conditions of biomass production. The microalgae demonstrated the ability to grow under mixotrophic medium conditions and to utilize the available carbon sources in the culture medium. Treatment 4 has the highest biomass, with an Xmax (g/L) of 1.94 ± 0.06 and a protein production of 24.17 ± 0.86% (w/w). Therefore, this microalgal biomass can be used in the food matrix according to the biorefinery concept.
Development of Macro-Encapsulated Phase-Change Material Using Composite of NaCl-Al2O3 with Characteristics of Self-Standing
Authors: Liao Shenghao , Zhou Xin , Chen Xiaoyu , Li Zhuoyu , Yamashita Seiji , Zhang Chaoyang , Kita Hideki
Published: May 2024

Developing thermal storage materials is crucial for the efficient recovery of thermal energy. Salt-based phase-change materials have been widely studied. Despite their high thermal storage density and low cost, they still face issues such as low thermal conductivity and easy leaks. Therefore, a new type of NaCl-Al2O3@SiC@Al2O3 macrocapsule was developed to address these drawbacks, and it exhibited excellent rapid heat storage and release capabilities and was extremely stable, significantly reducing the risk of leakage at high temperatures for industrial waste heat recovery and in concentrated solar power systems above 800 °C. Thermal storage macrocapsules consisted of a double-layer encapsulation of silicon carbide and alumina and a self-standing core of NaCl-Al2O3. After enduring over 1000 h at a high temperature of 850 °C, the encapsulated phase-change material exhibited an extremely low weight loss rate of less than 5% compared with NaCl@Al2O3 and NaCl-Al2O3@Al2O3 macrocapsules, for which the weight loss rate was reduced by 25% and 10%, respectively, proving their excellent leakage prevention. The SiC powder layer, serving as an intermediate coating, further prevented leakage, while the use of Al2O3 ceramics for encapsulation enhanced the overall mechanical strength. It was innovatively discovered that the Al2O3 particles formed a network structure around the molten NaCl, playing an important role in maintaining the shape and preventing leakage of the composite thermal storage phase-change material. Furthermore, the addition of Al2O3 significantly enhanced the rapid heat storage and release rate of NaCl-Al2O3 compared to pure NaCl. This encapsulated phase-change material demonstrated outstanding durability and rapid heat storage and release performance, offering an innovative approach to the application of salt phase-change materials in the field of high temperature rapid heat storage and release and encapsulating NaCl as a high-temperature thermal storage material in a packed bed system. Compared with conventional salt-based phase-change materials, the developed product is expected to significantly improve the reliability and thermal efficiency of thermal storage systems.
Cooperative Jamming Resource Allocation with Joint Multi-Domain Information Using Evolutionary Reinforcement Learning
Authors: Xin Qi , Xin Zengxian , Chen Tao
Published: May 2024

Addressing the formidable challenges posed by multiple jammers jamming multiple radars, which arise from spatial discretization, many degrees of freedom, numerous model input parameters, and the complexity of constraints, along with a multi-peaked objective function, this paper proposes a cooperative jamming resource allocation method, based on evolutionary reinforcement learning, that uses joint multi-domain information. Firstly, an adversarial scenario model is established, characterizing the interaction between multiple jammers and radars based on a multi-beam jammer model and a radar detection model. Subsequently, considering real-world scenarios, this paper analyzes the constraints and objective function involved in cooperative jamming resource allocation by multiple jammers. Finally, accounting for the impact of spatial, frequency, and energy domain information on jamming resource allocation, matrices representing spatial condition constraints, jamming beam allocation, and jamming power allocation are formulated to characterize the cooperative jamming resource allocation problem. Based on this foundation, the joint allocation of the jamming beam and jamming power is optimized under the constraints of jamming resources. Through simulation experiments, it was determined that, compared to the dung beetle optimizer (DBO) algorithm and the particle swarm optimization (PSO) algorithm, the proposed evolutionary reinforcement learning algorithm based on DBO and Q-Learning (DBO-QL) offers 3.03% and 6.25% improvements in terms of jamming benefit and 26.33% and 50.26% improvements in terms of optimization success rate, respectively. In terms of algorithm response time, the proposed hybrid DBO-QL algorithm has a response time of 0.11 s, which is 97.35% and 96.57% lower than the response times of the DBO and PSO algorithms, respectively. The results show that the method proposed in this paper has good convergence, stability, and timeliness.
Evaluating Visible–Infrared Imaging Radiometer Suite Imagery for Developing Near-Real-Time Nationwide Vegetation Cover Monitoring in Indonesia
Authors: Setiawan Yudi , Kustiyo Kustiyo , Hudjimartsu Sahid Agustian , Purwanto Judin , Rovani Riva , Tosiani Anna , Usman Ahmad Basyiruddin , Kartika Tatik , Indriasari Novie , Prasetyo Lilik Budi , Margono Belinda Arunarwati
Published: May 2024

The necessity for precise and current data concerning the dynamics of land cover change in Indonesia is crucial for efforts to reduce natural vegetation cover due to agricultural expansion. The functionality of monitoring systems that incorporate Terra-MODIS is currently compromised by the limited availability of data for the immediate future. This study seeks to assess the potential of VIIRS satellite imagery in developing an early warning system for monitoring vegetation cover change in Indonesia. The normalized differential open-area index (NDOAI) computed from 8-day VIIRS data was employed to detect changes in vegetation cover based on pixel-by-pixel subtraction in the NDOAI data time series. Evaluating the pixel-level accuracy of change detection is complicated due to the fact that we evaluate a change map at a coarser resolution than the Landsat-based reference map. The results revealed that increasing the threshold percentage is associated with improved accuracy. In change detection, there is often a trade-off between accuracy and sensitivity. A threshold that is too low may result in false positives, while a threshold that is too high may lead to missed changes. This study demonstrates that when a threshold value of less than 20% is applied, Landsat can identify vegetation cover changes at an earlier stage. Conversely, when a threshold value greater than 20% is employed, the VIIRS will detect the change 4.5 days earlier than Landsat. Additionally, the VIIRS is capable of detecting changes 25.4 days and 54.8 days faster than Landsat, respectively, when using thresholds of 40% and 70%.
Random Forest-Based Soil Moisture Estimation Using Sentinel-2, Landsat-8/9, and UAV-Based Hyperspectral Data
Authors: Shokati Hadi , Mashal Mahmoud , Noroozi Aliakbar , Abkar Ali Akbar , Mirzaei Saham , Mohammadi-Doqozloo Zahra , Taghizadeh-Mehrjardi Ruhollah , Khosravani Pegah , Nabiollahi Kamal , Scholten Thomas
Published: May 2024

Accurate spatiotemporal monitoring and modeling of soil moisture (SM) is of paramount importance for various applications ranging from food production to climate change adaptation. This study deals with modeling SM with the random forest (RF) algorithm using datasets comprising multispectral data from Sentinel-2, Landsat-8/9, and hyperspectral data from the CoSpectroCam sensor (CSC, licensed to AgriWatch BV, Enschede, The Netherlands) mounted on an unmanned aerial vehicle (UAV) in Iran. The model included nine bands from Landsat-8/9, 11 bands from Sentinel-2, and 1252 bands from the CSC (covering the wavelength range between 420 and 850 nm). The relative feature importance and band sensitivity to SM variations were analyzed. In addition, four indices, including the perpendicular index (PI), ratio index (RI), difference index (DI), and normalized difference index (NDI) were calculated from the different bands of the datasets, and their sensitivity to SM was evaluated. The results showed that the PI exhibited the highest sensitivity to SM changes in all datasets among the four indices considered. Comparisons of the performance of the datasets in SM estimation emphasized the superior performance of the UAV hyperspectral data (R2 = 0.87), while the Sentinel-2 and Landsat-8/9 data showed lower accuracy (R2 = 0.49 and 0.66, respectively). The robust performance of the CSC data is likely due to its superior spatial and spectral resolution as well as the application of preprocessing techniques such as noise reduction and smoothing filters. The lower accuracy of the multispectral data from Sentinel-2 and Landsat-8/9 can also be attributed to their relatively coarse spatial resolution compared to the CSC, which leads to pixel non-uniformities and impurities. Therefore, employing the CSC on a UAV proves to be a valuable technology, providing an effective link between satellite observations and ground measurements.
Bio-Optical Properties near a Coastal Convergence Zone Derived from Aircraft Remote Sensing Imagery and Modeling
Authors: Lewis Mark David , Cayula Stephanie , Gould Richard W. , Miller William David , Shulman Igor , Smith Geoffrey B. , Smith Travis A. , Wang David , Wijesekera Hemantha
Published: May 2024

Bio-optical and physical measurements were collected in the Mississippi Sound (Northern Gulf of Mexico) during the spring of 2018 as part of the Integrated Coastal Bio-Optical Dynamics project. The goal was to examine the impact of atmospheric and tidal fronts on fine-scale physical and bio-optical property distributions in a shallow, dynamic, coastal environment. During a 25-day experiment, eight moorings were deployed in the vicinity of a frontal zone. For a one-week period in the middle of the mooring deployment, focused ship sampling was conducted with aircraft and unmanned aerial vehicle overflights, acquiring hyperspectral optical and thermal data. The personnel in the aircraft located visible color fronts indicating the convergence of two water masses and directed the ship to the front. Dye releases were performed on opposite sides of a front, and coincident aircraft and unmanned aerial vehicle overflights were collected to facilitate visualization of advection/mixing/dispersion processes. Radiometric calibration of the optical hyperspectral sensor was performed. Empirical Line Calibration was also performed to atmospherically correct the aircraft imagery using in situ remote sensing reflectance measurements as calibration sources. Bio-optical properties were subsequently derived from the atmospherically corrected aircraft and unmanned aerial vehicle imagery using the Naval Research Laboratory Automated Processing System.
ULG-SLAM: A Novel Unsupervised Learning and Geometric Feature-Based Visual SLAM Algorithm for Robot Localizability Estimation
Authors: Huang Yihan , Xie Fei , Zhao Jing , Gao Zhilin , Chen Jun , Zhao Fei , Liu Xixiang
Published: May 2024

Indoor localization has long been a challenging task due to the complexity and dynamism of indoor environments. This paper proposes ULG-SLAM, a novel unsupervised learning and geometric-based visual SLAM algorithm for robot localizability estimation to improve the accuracy and robustness of visual SLAM. Firstly, a dynamic feature filtering based on unsupervised learning and moving consistency checks is developed to eliminate the features of dynamic objects. Secondly, an improved line feature extraction algorithm based on LSD is proposed to optimize the effect of geometric feature extraction. Thirdly, geometric features are used to optimize localizability estimation, and an adaptive weight model and attention mechanism are built using the method of region delimitation and region growth. Finally, to verify the effectiveness and robustness of localizability estimation, multiple indoor experiments using the EuRoC dataset and TUM RGB-D dataset are conducted. Compared with ORBSLAM2, the experimental results demonstrate that absolute trajectory accuracy can be improved by 95% for equivalent processing speed in walking sequences. In fr3/walking_xyz and fr3/walking_half, ULG-SLAM tracks more trajectories than DS-SLAM, and the ATE RMSE is improved by 36% and 6%, respectively. Furthermore, the improvement in robot localizability over DynaSLAM is noteworthy, coming in at about 11% and 3%, respectively.
The Indian Ocean Dipole Modulates the Phytoplankton Size Structure in the Southern Tropical Indian Ocean
Authors: Liao Xiaomei , Li Yan , Zhan Weikang , Niu Qianru , Mu Lin
Published: May 2024

The phytoplankton size structure exerts a significant influence on ecological processes and biogeochemical cycles. In this study, the interannual variations in remotely sensed phytoplankton size structure in the southern Tropical Indian Ocean (TIO) and the underlying physical mechanisms were investigated. Significant interannual fluctuations in phytoplankton size structure occur in the southeastern TIO and central southern TIO and are very sensitive to Indian Ocean Dipole (IOD) events. During positive IOD events, the southeast wind anomalies reinforce coastal upwelling off of Java and Sumatra, leading to a shift toward a larger phytoplankton structure in the southeastern TIO. The anomalous anticyclonic circulation deepened the thermocline and triggered the oceanic downwelling Rossby waves, resulting in a smaller phytoplankton structure in the southwestern TIO. During the decay phase of the strong positive IOD events, the sustained warming in the southwestern TIO induced basin-wide warming, thereby maintaining such an anomalous phytoplankton size structure into the following spring. The response of phytoplankton size structure and ocean dynamics displayed inverse patterns during the negative IOD events, with an anomalous larger phytoplankton structure in the central southern TIO. These findings enhance our understanding of phytoplankton responses to climate events, with serious implications for ecosystem changes in a warming climate.
Experiences of Stealthing and the Sociodemographic Profiles of Women Victims in Brazil: A National Study
Authors: Ferrari Wendell , Nogueira Conceição , Nascimento Marcos
Published: May 2024

Stealthing is the removal of a condom during sexual intercourse without the consent of one’s partner. Despite considerable media attention devoted to the trend, limited empirical research has examined how women experienced stealthing. This study aimed to contribute toward generating empirical evidence to guide the discussion surrounding stealthing. It is the first empirical research at a national level in Brazil. An online survey was conducted among 2275 women over 18 who experienced stealthing. The study analyzes these women’s sociodemographic profiles and how they experienced stealthing. Most were white, young, had a religion, were highly educated, and belonged to the Brazilian middle class. They usually experienced stealthing during their youth, and the perpetrator was a cisgender man. Most of them did not look for the morning-after pill and post-exposure prophylaxis after the occurrence and never told anyone about this experience. They stated that the perpetrator should be punished. Women reported contracting sexually transmitted infections, experiencing an unplanned pregnancy, or having an illegal abortion. In conclusion, the high incidence of stealthing in the country is notable, which should generate more discussions at academic and legal levels, creating specific laws on the subject so that victims could have more support.
Guangdong–Hong Kong–Macao Cooperation: Historical Process and Driving Mechanisms
Authors: Lin Zhicong , Yang Zhenjie , Lam Johnny F. I. , Li Lue
Published: May 2024

Cooperation in the Guangdong–Hong Kong–Macao Greater Bay Area under the “one country, two systems” framework is different from regional cooperation in other areas. Its unique cross-border cooperation within one country has attracted much attention from the academic community. Since the 1980s, the cooperation between Guangdong, Hong Kong and Macao has gone through different stages with China’s development. Examining the process of change can contribute to understanding the logic and driving mechanisms of cooperation in the Greater Bay Area. This study shows that regional cooperation has been driven from the market to the combined influence of the market and government since the 1980s. During this transition, the central government has become increasingly involved in the cooperation through political embedding, eventually becoming the main driver of this regional cooperation. However, regardless of whether the driving force was the market or the government, significant internal tensions remained throughout the transition process. The research suggests that the top-level design for institutionalising regional cooperation can effectively balance market and administrative forces, leveraging the strengths of each. It is valuable to elucidate the uniqueness and complexity of Guangdong–Hong Kong–Macao cooperation under “one country, two systems”, which will contribute to further promoting deep cooperation in the Greater Bay Area.
An Anticipatory Practice for the Future of Science Parks: Understanding the Indices and Mechanisms on Different Spatial Scales of Regional Innovation Systems
Authors: Pan Ssu-Chi , Fan Peilei , Hu Tai-Shan , Li Han-Yu , Liu Wen-Shin
Published: May 2024

To construct a diverse anticipatory practice for the future of science parks, this work gives a systematic understanding of the effect of the regional background on the benefit of science parks, and of the synergy of the elements of the innovation system, which contains a space dimension and regional differences, and represents the unique characteristics of the regional environment at various geographic scales. This work examines the function and effect of different geographic scales on the conditions required for the evolution of science parks based on regional innovation systems. The research analyzes the implications of the development of science parks through different spatial scales from the perspective of the regional innovation system. The function of innovation in the Hsinchu and Southern Taiwan Science Parks is examined by comparing the two parks, confirming the effect of different regional backgrounds on the benefit of the science parks.
The Effect of Service Quality and Sustainability Practices on Brand Equity: The Case of Korean Air Passengers
Authors: Lee Sangryeong , Lee Soo-Kyoung , Park Jin-Woo
Published: May 2024

A company’s brand equity is built through sustainable development. Sustainability practices are increasingly being adopted by a wide range of organizations, with the aviation industry being particularly prominent. This trend can play a key role in enhancing brand equity within the Korean aviation sector. Specifically, the focus is on whether sustainability practices contribute positively to brand value within the aviation industry. The primary objective is to examine how service quality and sustainability practices influence airline brand equity through mediating factors. While previous research has predominantly explored airline service quality, this study aims to analyze the influence of sustainability practices on brand equity, particularly targeting Korean Air, amid the increasing interest in sustainability research within the airline industry. Additionally, a survey was conducted on 379 Korean Air passengers, and structural equation modeling (SEM) was employed for analysis. The results indicate a strong positive correlation among service quality, sustainability practices, and brand equity, suggesting heightened passenger interest in airline sustainability practices, along with service quality. Hence, this theoretical investigation signifies a potential positive impact on the Korean aviation industry.
Developing a Practical Framework for Applying the Work from Home Concept to Technical Jobs in Electricity Utilities Using the Unified Theory of Acceptance and Use of Technology
Authors: Albastaki Fouzeya M. , Ubaid Alaa M. , Rashid Hamad
Published: May 2024

With the global rise of coronavirus disease 2019 (COVID-19), a significant change occurred, prompting employees across different countries to switch to remote work and work from home (WFH) instead of working in their usual physical workplaces. This research aims to improve the unified theory of acceptance and use of technology (UTAUT) by identifying the factors that affect the acceptance of the technical employees in the electricity utility sector during WFH and identifying technologies required for WFH. By this aim, this study contributes to creating inclusive and sustainable work environments, essential for fostering economic growth even during global crises like the COVID-19 pandemic, in alignment with Sustainable Development Goals (SDG) 8: Decent Work and Economic Growth. This study used a mixed research methodology, using a focus group of five industry experts in addition to a survey. It conducted a specific study within a United Arab Emirates (UAE)-based electricity utility. The focus group session resulted in finalizing and listing twelve factors affecting WFH for technical job employees. Three of them were newly introduced during the focus group, namely, “emotional well-being”, “cultural factor”, and “honesty of employees”. Those factors were used further to prepare the related hypothesis and prepare a questionnaire. The survey data were collected from 145 respondents and analyzed using structural equation modeling (SEM) using IBM SPSS Amos (Version 29.0). The analysis of the survey revealed that there were significant relationships between all the constructs; however, the hypothesis concerning perceived risk was not supported. Moreover, the analysis also provided a list of vital technologies required to WFH, resulting in insights for organizational managers on which factors to prioritize when implementing remote work strategies. The successful completion of this research has the potential to better prepare organizations for future pandemics and improve the balance between work and personal life for employees. Research limitations and future study recommendations are also highlighted.
Sustainable Strategies: Navigating Corporate Social Responsibility and Irresponsibility for Enlightened Self-Interest
Authors: Kim Jong Min , Liu Ying
Published: May 2024

As firms increasingly engage in both corporate social responsibility (CSR) and irresponsibility (CSIR) activities, this study expands the traditional question “does it pay to do more CSR?” to explore the less-studied question “does it pay to do less CSIR?”. We employ stakeholder theory and expectancy disconfirmation theory to outline three sustainable strategies for firms to financially benefit (enlightened self-interest) from CSR/CSIR activities: proactive strategy (increasing CSR, or doing more good), rectification strategy (reducing CSIR, or doing less bad), and aggressive strategy (increasing CSR while reducing CSIR, or doing more good and less bad). Our research objective is to evaluate the financial viability of different CSR/CSIR strategies. We hypothesize that the rectification strategy will surpass the proactive approach, while anticipating that the aggressive strategy will emerge as the most financially advantageous. Our dataset consists of 12,567 firm-year observations (3422 firms) spanning 1994 to 2013, and we conduct rigorous analyses to evaluate these strategies. The findings reveal that the rectification strategy surpasses the proactive strategy, with the aggressive strategy emerging as the most advantageous. The study contributes theoretically and offers managerial insights into these results.
Electrokinetic Remediation in Marine Sediment: A Review and a Bibliometric Analysis
Authors: Porcino Nunziatina , Crisafi Francesca , Catalfamo Maurizio , Denaro Renata , Smedile Francesco
Published: May 2024

Daily industrial activities pose a significant risk of environmental contamination through the release of toxic chemicals, including heavy metals, radionuclides and organic pollutants. Coastal marine areas, estuaries and harbors serve as primary hotspots for such pollution, with marine sediments acting as the ultimate sink for industrial and urban discharges, posing a serious environmental problem. Addressing this pressing issue requires the adoption of environmentally friendly technologies for the remediation and recovery of contaminated marine sediments. This paper provides a comprehensive review of different approaches for the remediation of contaminated sediments, focusing on the principle of electrokinetic remediation, with special emphasis on the use of microorganisms. A bibliometric analysis of key articles in the field is presented to elucidate the most important findings, particularly in the marine environment. The current state-of-the-art is reported for soil and sediment remediation approaches, with the first large-scale experiments and a preliminary cost estimate reported. However, the limited information available on the applicability of these techniques in the marine environment is highlighted. The limitations and risks associated with an inadequate implementation of this technique are discussed while acknowledging the advantages it offers for in situ remediation in marine environments.
How Can Financial Innovation Curb Carbon Emissions in China? Exploring the Mediating Role of Industrial Structure Upgrading from a Spatial Perspective
Authors: An Jiaji , Di He
Published: May 2024

Within the sustainability framework, technological innovation’s impact is acknowledged. However, the environmental implications of institutional innovation, a crucial component of the innovation system, remain unclear, necessitating further research. This paper focuses on financial innovation as a representative of institutional innovation, exploring its relationship with carbon emissions. Utilizing panel data from 30 Chinese provinces spanning 2011 to 2022, we establish a spatial Durbin model and a mediating effects model to delve into the intricate relationships among financial innovation, industrial structure upgrading, and carbon emissions. Our findings reveal that: (1) Financial innovation significantly contributes to the upgrading of industrial structures both locally and in neighboring regions; (2) Both financial innovation and industrial structure upgrading effectively mitigate carbon emissions, with the latter playing a mediating role; (3) All three studied factors exhibit spatial clustering effects; (4) The suppressive effect of financial innovation on carbon emissions exhibits a notable spatial spillover. Compared to recent studies, this work innovatively explores the mediating impact mechanism of financial innovation suppressing carbon emissions, particularly demonstrating the spatial spillover characteristics of the mediating effect among the three variables. As China is a major carbon emitter and emerging economy, these insights offer valuable insights for global carbon governance.
The Moderating Effect of the Business Group Affiliation on the Relationship between Debt and Earnings Management: Evidence from Borsa Istanbul
Authors: Gürünlü Meltem
Published: May 2024

Earnings quality is crucial to provide investors and lenders with accurate information about the economic health of the firm and to help them make the right decisions. This paper examines whether the pooling of financial resources and internal funds allocation in corporate groups has a positive effect on earnings quality through reduced earnings management practices in affiliated firms. It is hypothesized that the funding benefits of pooling financial resources in corporate groups allow affiliated firms to reduce solvency problems arising from higher leverage, which in turn reduces incentives for earnings management. The study is based on a balanced panel data set of 95 non-financial firms traded on Borsa Istanbul covering the period between 2015 and 2022 (8 years) with a total of 760 observations. Using management’s discretionary accruals as a proxy variable to measure management’s flexibility to engage in earnings management, this study finds that being affiliated to a business group reduces earnings management incentives in group affiliates when firm’s leverage increases. The business group’s support on the debt-leveraged firm alleviates the motivation for earnings management practices.
Strategic Resource Utilization for Enhancing Corporate Value: Dynamics of Exploration and Exploitation in Korea
Authors: Kwon Gee-Jung , Lee Won-Il
Published: May 2024

This study examines the impact of research and development (R&D) expenditures, training expenditures, and entertainment expenditures (business promotion expenditures) on firm value in the Korean electronics and metal industry. Extending the theoretical foundation of James March’s exploration and exploitation theory, this study analyzes the impact of R&D and training investments on firm value to explore new capabilities from a long-term perspective, and the impact of entertainment costs on firm value to achieve short-term organizational goals. Using Tobin’s Q methodology, which uses the ratio of a firm’s market value to its asset replacement cost as a proxy for firm value, this study finds the relationship between these types of expenditures and firm value. The analysis finds that R&D expenditures and training expenditures are significantly correlated with increases in firm value, suggesting that these investments play an important role in enhancing a firm’s competitiveness and performance. On the other hand, while we hypothesize that the balance of exploration and exploitation within an organization will affect firm value, we find that entertainment expenditures, which are business promotion expenditures, do not show a significant relationship with firm value. This suggests that these expenditures by companies in Korea’s electronics and metals industry contribute to the achievement of the organization’s short-term goals but do not have a significant impact on firm value. These findings suggest that resource allocation in the electronics and metal industries where technological innovation is important should be more heavily weighted toward investments in R&D and training for long-term exploration in order to increase firm value. To increase firm value, firms should prioritize investments that drive sustainable growth and enhance competitive advantage. This research allows for a deeper examination of how different types of costs contribute to firm value and underscores the need for strategic clarity in resource allocation decisions.
Qualtra Geothermal Power Plant: Life Cycle, Exergo-Economic, and Exergo-Environmental Preliminary Assessment
Authors: Zuffi Claudio , Ungar Pietro , Fiaschi Daniele , Manfrida Giampaolo , Batini Fausto
Published: May 2024

Qualtra, an innovative 10 MW geothermal power plant proposal, employs a closed-loop design to mitigate emissions, ensuring no direct release into the atmosphere. A thorough assessment utilizing energy and exergy analysis, life cycle assessment (LCA), exergo-economic analysis, and exergo environmental analysis (EevA) was conducted. The LCA results, utilizing the ReCiPe 2016 midpoint methodology, encompass all the spectrum of environmental indicators provided. The technology implemented makes it possible to avoid direct atmospheric emissions from the Qualtra plant, so the environmental impact is mainly due to indirect emissions over the life cycle. The result obtained for the global warming potential indicator is about 6.6 g CO2 eq/kWh, notably lower compared to other conventional systems. Contribution analysis reveals that the construction phase dominates, accounting for over 90% of the impact for almost all LCA midpoint categories, excluding stratospheric ozone depletion, which is dominated by the impact from the operation and maintenance phase, at about 87%. Endpoint indicators were assessed to estimate the single score value using normalization and weighting at the component level. The resulting single score is then used in an Exergo-Environmental Analysis (EEvA), highlighting the well system as the most impactful contributor, constituting approximately 45% of the total impact. Other substantial contributions to the environmental impact include the condenser (21%), the turbine (17%), and the HEGeo (14%). The exergo-economic analysis assesses cost distribution across major plant components, projecting an electricity cost of about 9.4 c€/kWh.