bluuebunny/crossref_metadata_2025 huggingface dataset:
Isobaric Tags for Relative and Absolute Quantitation-Based Proteomics Analysis Revealed Proteins Involved in Drought Response during the Germination Stage in Faba Bean
Authors: Liu Changyan , Yang Fangwen , Li Li , Han Xuesong , Chen Hongwei , Sha Aihua , Jiao Chunhai
Published: March 2024

The faba bean, a significant cool-season edible legume crop, is susceptible to drought during the germination stage. Research regarding the genetic regulation of drought tolerance throughout this stage in the faba bean is limited. The differentially expressed proteins (DEPs) in faba beans between the drought-tolerant variety C105 and the drought-sensitive variant E1 during seed germination were identified in this work, accomplished through isobaric tags for relative and absolute quantitation (iTRAQ) analysis. A total of 3827 proteins were identified in the two varieties of germinating seeds. Compared to those of variety E1, an increase in 108 DEPs and a decrease in 61 DEPs were observed in variety C105 under drought. Conversely, in the control group, variety C105 showed 108 significantly upregulated DEPs and 55 significantly downregulated DEPs. GO and KEGG analyses showed that the DEPs associated with glutathione metabolism and protein processing demonstrated significant increases in response to drought stress. Protein–protein interaction (PPI) analysis unveiled three closely connected functional modules of protein translation, DNA replication, and post-translational modification, originating from 22 DEPs derived from the germination period of two varieties under drought stress. To verify the proteomic function, we selected three differentially expressed protein coding genes, which were overexpressed or silenced in tobacco, thereby enhancing the drought resistance of tobacco. This was accompanied via altered levels of superoxide dismutase or peroxidase in transgenic plants under drought stress. The possible mechanism for drought tolerance in germinating seeds of faba bean involves increasing protein translation, decreasing DNA replication, and modifying chromatin. These findings offer invaluable insights into the reaction mechanism in response to drought stress in faba beans. The identified DEPs could be utilized in faba bean breeding initiatives to manage drought.
Importance of Probiotics in Fish Aquaculture: Towards the Identification and Design of Novel Probiotics
Authors: Torres-Maravilla Edgar , Parra Mick , Maisey Kevin , Vargas Rodrigo A. , Cabezas-Cruz Alejandro , Gonzalez Alex , Tello Mario , Bermúdez-Humarán Luis G.
Published: March 2024

Aquaculture is a growing industry worldwide, but it faces challenges related to animal health. These challenges include infections by parasites, bacteria, and viral pathogens. These harmful pathogens have devastating effects on the industry, despite efforts to control them through vaccination and antimicrobial treatments. Unfortunately, these measures have proven insufficient to address the sanitary problems, resulting in greater environmental impact due to the excessive use of antimicrobials. In recent years, probiotics have emerged as a promising solution to enhance the performance of the immune system against parasitic, bacterial, and viral pathogens in various species, including mammals, birds, and fish. Some probiotics have been genetically engineered to express and deliver immunomodulatory molecules. These promote selective therapeutic effects and specific immunization against specific pathogens. This review aims to summarize recent research on the use of probiotics in fish aquaculture, with a particular emphasis on genetically modified probiotics. In particular, we focus on the advantages of using these microorganisms and highlight the main barriers hindering their widespread application in the aquaculture industry.
Investigations of Chemical Element Distributions in Soil, North Macedonia—A Review
Authors: Stafilov Trajče , Šajn Robert , Alijagić Jasminka
Published: March 2024

This review article considers the following aspects: naturally distributed chemical elements and their enrichments, and the increased occurrence of PTEs due to anthropogenic and urban activities, as well as due to the geochemical uniqueness of certain geochemical landscapes, depending on the lithological environment. The review article is the result of many years of successful cooperation between the Geological Survey of Slovenia and the Faculty of Natural Sciences in Skopje, Ss. Cyril and Methodius University in Skopje, as well as several other institutions from North Macedonia, Russia and Romania but, also, through the voluntary and enthusiastic work of Prof. Trajče Stafilov’s PhD and Master’s students. To create the Geochemical Atlas, the territory of North Macedonia was covered with 995 sampling locations, but 16 separate areas with soil contamination were additionally sampled. The total sum of all collected soil samples was 3983 from 2449 different sampling sites in the period from 2006 to 2017. The analyses were performed at the Institute of Chemistry, Faculty of Natural Sciences in Skopje, at the Ss. Cyril and Methodius University in Skopje, North Macedonia, at the Research Institute for Analytical Instrumentation (ICIA), Cluj-Napoca, Romania, at the Joint Institute for Nuclear Research in Dubna, Moscow Region, Russia, and at Acme Labs in Vancouver, Canada. The sum of all analysed soil samples in all four mentioned laboratories was 7991 from 2006 to 2017. Using advanced mathematical methods such as multivariate statistical methods (HCA, FA, PCA) and artificial neural networks–multilayer perceptron (ANN-MP), predictions were made about the concentrations of potentially toxic elements (PTEs) and their distribution in real space. In less than two decades (2007–2023) of fruitful collaboration, a large number of scientific works have been published: 188 scientific publications, 8 geochemical atlases and 23 chapters in monographs.
Enhancing the Luminescence of La3Mg2NbO9:Mn4+ Phosphor through H3BO3 and Charge Compensator Co-Doping for Use in Plant Growth Lamps
Authors: Yang Zaifa , Wang Ruoxuan , Yang Shuyu , Bu Hongxia , Zhao Jingfen
Published: March 2024

Mn4+-doped red-light-emitting phosphors have become a research hotspot that can effectively enhance photosynthesis and promote morphogenesis in plants. Herein, the red phosphor La3Mg2NbO9:Mn4+ was synthesized through the solid-state reaction method. The effects of adding H3BO3 and a charge compensator R+ (R = Li, Na, K) on the crystal structure, morphology, quantum efficiency, and luminous performance of the La3Mg2NbO9:Mn4+ phosphor were systematically analyzed, respectively. The results showed that adding H3BO3 flux and a charge compensator improved the quantum efficiency and luminescence intensity. The emission intensity of the phosphor was enhanced about 5.9 times when Li+ was used as the charge compensator, while it was enhanced about 240% with the addition of H3BO3 flux. Remarkably, it was also found that the addition of H3BO3 flux and a charge compensator simultaneously improved the thermal stability at 423 K from 47.3% to 68.9%. The prototype red LED fabricated using the La3Mg2NbO9:Mn4+,H3BO3,Li+ phosphor exhibited a perfect overlap with the phytochrome absorption band for plant growth. All of these results indicate that the La3Mg2NbO9:Mn4+,H3BO3,Li+ phosphor has great potential for use in agricultural plant lighting.
Preparation and Support Effect of Graphdiyne Nanotubes with Abundant Cu Quantum Dots
Authors: Lv Yan , Wang Wenzhou , Li Zhangwei , Liang Fucang
Published: March 2024

Graphdiyne (GDY) is considered a very attractive support for metal nanocatalysts due to its unique structure and superior properties. The metal–GDY interaction can significantly affect the performance of catalysts. Herein, GDY nanotubes abundant in in situ formed Cu quantum dots (QDs) (Cu-GDYNT) are prepared using the electrospun polyacrylonitrile nanofibers collected on the surface of electrolytic Cu foil as templates. The diameter of the Cu-GDYNT is controllable and the uniform size of the embedded Cu QDs is about 2.2 nm. And then, the uniformly dispersed and highly active supported catalysts of ruthenium nanoparticles (Rux/Cu-GDYNT) are produced using the Cu-GDYNT as the support. Among them, the Ru3/Cu-GDYNT exhibit outstanding HER performance at all pH levels. Only 17, 67 and 83 mV overpotential is required to reach a current density of 10 mA cm−2 in 1.0 M KOH, 0.5 M H2SO4 and 1.0 M neutral PBS solutions, respectively. The sample exhibits 3000 CV cycle stability and 20 h continuous electrolysis without performance degradation in an alkaline medium. This work provides a new idea for constructing the GDY-supported metal nanocatalysts.
Nutritional Management of Athletes with Type 1 Diabetes: A Narrative Review
Authors: Cavallo Massimiliano , De Fano Michelantonio , Barana Luisa , Dozzani Ivan , Bianchini Eleonora , Pellegrino Marialucia , Cisternino Linda , Migliarelli Sara , Giulietti Cecilia , Pippi Roberto , Fanelli Carmine Giuseppe
Published: March 2024

Type 1 diabetes mellitus (T1DM) represents a complex clinical challenge for health systems. The autoimmune destruction of pancreatic beta cells leads to a complete lack of insulin production, exposing people to a lifelong risk of acute (DKA, coma) and chronic complications (macro and microvascular). Physical activity (PA) has widely demonstrated its efficacy in helping diabetes treatment. Nutritional management of people living with T1DM is particularly difficult. Balancing macronutrients, their effects on glycemic control, and insulin treatment represents a complex clinical challenge for the diabetologist. The effects of PA on glycemic control are largely unpredictable depending on many individual factors, such as intensity, nutrient co-ingestion, and many others. Due to this clinical complexity, we have reviewed the actual scientific literature in depth to help diabetologists, sport medicine doctors, nutritionists, and all the health figures involved in diabetes care to ameliorate both glycemic control and the nutritional status of T1DM people engaging in PA. Two electronic databases (PubMed and Scopus) were searched from their inception to January 2024. The main recommendations for carbohydrate and protein ingestion before, during, and immediately after PA are explained. Glycemic management during such activity is widely reviewed. Micronutrient needs and nutritional supplement effects are also highlighted in this paper.
Association of Fortification with Human Milk versus Bovine Milk-Based Fortifiers on Short-Term Outcomes in Preterm Infants—A Meta-Analysis
Authors: Galis Radu , Trif Paula , Mudura Diana , Mazela Jan , Daly Mandy C. , Kramer Boris W. , Diggikar Shivashankar
Published: March 2024

This meta-analysis assessed short-term outcomes after using human milk-derived fortifiers (HMFs) compared with bovine milk fortifiers (BMFs) in preterm infants fed an exclusive human milk (HM) diet, either mother’s own milk (MOM) or donor human milk (DHM). We searched PubMed, Embase, Google Scholar, CENTRAL and CINHAL between January 2015 and August 2023 for studies reporting outcomes in infants with ≤28 weeks gestation and/or birthweight ≤ 1500 g on an exclusive human milk diet fortified with HMF versus BMF. The primary outcomes were death and NEC (stage ≥ 2). Four studies with a total of 681 infants were included. Mortality was significantly lower in infants fed with an HM-HMFs diet (four studies, 681 infants; RR = 0.50, 95% CI = 0.26–0.94; p = 0.03; I2 = 0%), NEC was similar between the two groups (four studies, 681 infants; RR = 0.48, 95% CI = 0.20–1.17; p = 0.11; I2= 39%). BPD was higher in the HM-BMFs group (four studies, 663 infants; RR = 0.83, 95% CI = 0.69–1.000; p = 0.05, I2 = 0%), although not statistically significant. No differences were found for sepsis (RR = 0.97, 95% CI = 0.66–1.42; p = 0.96; I2 = 26%) or combined ROP (four studies, 671 infants; RR = 0.64, 95% CI = 0.53–1.07; p = 0.28; I2 = 69%). An HM-HMFs diet could possibly be associated with decreased mortality with no association with NEC, BPD, sepsis, or ROP. This meta-analysis was limited by the small number of studies included. However, the results should not be refuted for this reason as they provide an impetus for subsequent clinical trials to assess the observed associations.
Community-Directed Vector Control to Accelerate Onchocerciasis Elimination
Authors: Jacob Benjamin , Michael Edwin , Unnasch Thomas R.
Published: March 2024

Onchocerciasis, or river blindness, has historically been one of the most important causes of blindness worldwide, and a major cause of socio-economic disruption, particularly in sub-Saharan Africa. Its importance as a cause of morbidity and an impediment to economic development in some of the poorest countries in the world motivated the international community to implement several programs to control or eliminate this scourge. Initially, these involved reducing transmission of the causative agent Onchocerca volvulus through controlling the vector population. When ivermectin was found to be a very effective drug for treating onchocerciasis, the strategy shifted to mass drug administration (MDA) of endemic communities. In some countries, both vector control and ivermectin MDA have been used together. However, traditional vector control methods involve treating rivers in which the black fly vectors breed with insecticides, a process which is expensive, requires trained personnel to administer, and can be ecologically harmful. In this review, we discuss recent research into alternatives to riverine insecticide treatment, which are inexpensive, ecologically less harmful, and can be implemented by the affected communities themselves. These can dramatically reduce vector densities and, when combined with ivermectin MDA, can accelerate the time to elimination when compared to MDA alone.
Triboelectric Charging Properties of the Functional Groups of Common Pharmaceutical Materials Using Density Functional Theory Calculations
Authors: Middleton James R. , Ghadiri Mojtaba , Scott Andrew J.
Published: March 2024

Triboelectrification is a ubiquitous and poorly understood phenomenon in powder processing, particularly for pharmaceutical powders. Charged particles can adhere to vessel walls, causing sheeting; they can also cause agglomeration, threatening the stability of powder formulations, and in extreme cases electrostatic discharges, which present a serious fire and explosion hazard. Triboelectrification is highly sensitive to environmental and material conditions, which makes it very difficult to compare experimental results from different publications. In this work, density functional theory (DFT) is used to investigate the charge transfer characteristics of several functional groups of paracetamol in order to better understand the mechanisms of charging at the nanoscale and the influence of the environmental and material properties on charge transfer. This is achieved by studying the structure and electronic properties at the molecule–substrate interface. Using this molecule–substrate approach, the charging contributions of individual functional groups are explored by examining the Hirschfeld charges, the charge density difference between the molecule and substrate, the density of states, and the location of the frontier orbitals (HOMO and LUMO) of a paracetamol molecule. Charge density difference calculations indicate a significant transfer of charge from the molecule to the surface. Observable regions of electron density enrichment and depletion are evident around the electron-donating and -withdrawing groups, respectively. The density of states for the paracetamol molecule evolves as it approaches the surface, and the band gap disappears upon contact with the substrate. Hirshfeld charge analysis reveals asymmetry in the charge redistribution around the molecule, highlighting the varying charging tendencies of different atoms.
Classifying Raman Spectra of Colon Cells Based on Machine Learning Algorithms
Authors: Lasalvia Maria , Gallo Crescenzio , Capozzi Vito , Perna Giuseppe
Published: March 2024

Colorectal cancer is very widespread in developed countries. Its diagnosis partly depends on pathologists’ experience and their laboratories’ instrumentation, producing uncertainty in diagnosis. The use of spectroscopic techniques sensitive to the cellular biochemical environment could aid in achieving a reliable diagnosis. So, we used Raman micro-spectroscopy, combined with a spectral analysis by means of machine learning methods, to build classification models, which allow colon cancer to be diagnosed in cell samples, in order to support such methods as complementary tools for achieving a reliable identification of colon cancer. The Raman spectra were analyzed in the 980–1800 cm−1 range by focusing the laser beam onto the nuclei and the cytoplasm regions of single FHC and CaCo-2 cells (modelling healthy and cancerous samples, respectively) grown onto glass coverslips. The comparison of the Raman intensity of several spectral peaks and the Principal Component Analysis highlighted small biochemical differences between healthy and cancerous cells mainly due to the larger relative lipid content in the former cells with respect to the latter ones and to the larger relative amount of nucleic acid components in cancerous cells compared with healthy ones. We considered four classification algorithms (logistic regression, support vector machine, k nearest neighbors, and a neural network) to associate unknown Raman spectra with the cell type to which they belong. The built machine learning methods achieved median values of classification accuracy ranging from 95.5% to 97.1%, sensitivity values ranging from 95.5% to 100%, and specificity values ranging from 93.9% to 97.1%. The same median values of the classification parameters, which were estimated for a testing set including unknown spectra, ranged between 93.1% and 100% for accuracy and between 92.9% and 100% for sensitivity and specificity. A comparison of the four methods pointed out that k nearest neighbors and neural networks better perform the classification of nucleus and cytoplasm spectra, respectively. These findings are a further step towards the perspective of clinical translation of the Raman technique assisted by multivariate analysis as a support method to the standard cytological and immunohistochemical methods for diagnostic purposes.
Genome-Wide Analysis of the Xyloglucan Endotransglucosylase/Hydrolase (XTH) Gene Family: Expression Pattern during Magnesium Stress Treatment in the Mulberry Plant (Morus alba L.) Leaves
Authors: Danso Blessing , Ackah Michael , Jin Xin , Ayittey Derek M. , Amoako Frank Kwarteng , Zhao Weiguo
Published: March 2024

Mulberry (Morus alba L.), a significant fruit tree crop, requires magnesium (Mg) for its optimal growth and productivity. Nonetheless, our understanding of the molecular basis underlying magnesium stress tolerance in mulberry plants remains unexplored. In our previous study, we identified several differential candidate genes associated with Mg homeostasis via transcriptome analysis, including the xyloglucan endotransglucosylase/hydrolase (XTH) gene family. The XTH gene family is crucial for plant cell wall reconstruction and stress responses. These genes have been identified and thoroughly investigated in various plant species. However, there is no research pertaining to XTH genes within the M. alba plant. This research systematically examined the M. alba XTH (MaXTH) gene family at the genomic level using a bioinformatic approach. In total, 22 MaXTH genes were discovered and contained the Glyco_hydro_16 and XET_C conserved domains. The MaXTHs were categorized into five distinct groups by their phylogenetic relationships. The gene structure possesses four exons and three introns. Furthermore, the MaXTH gene promoter analysis reveals a plethora of cis-regulatory elements, mainly stress responsiveness, phytohormone responsiveness, and growth and development. GO analysis indicated that MaXTHs encode proteins that exhibit xyloglucan xyloglucosyl transferase and hydrolase activities in addition to cell wall biogenesis as well as xyloglucan and carbohydrate metabolic processes. Moreover, a synteny analysis unveiled an evolutionary relationship between the XTH genes in M. alba and those in three other species: A. thaliana, P. trichocarpa, and Zea mays. Expression profiles from RNA-Seq data displayed distinct expression patterns of XTH genes in M. alba leaf tissue during Mg treatments. Real-time quantitative PCR analysis confirmed the expression of the MaXTH genes in Mg stress response. Overall, this research enhances our understanding of the characteristics of MaXTH gene family members and lays the foundation for future functional genomic study in M. alba.
Impact of Heavy Metal Pollution in the Environment on the Metabolic Profile of Medicinal Plants and Their Therapeutic Potential
Authors: Asiminicesei Dana-Mihaela , Fertu Daniela Ionela , Gavrilescu Maria
Published: March 2024

The paper provides a comprehensive examination of heavy metal stress on medicinal plants, focusing on its impact on antioxidant capacity and biosynthetic pathways critical to their therapeutic potential. It explores the complex relationship between heavy metals and the physiological and biochemical responses of medicinal plants, highlighting how metal stress disrupts biosynthetic pathways, altering concentrations of secondary metabolites. This disruption may compromise the overall quality and efficacy of medicinal plants, requiring a holistic understanding of its cumulative impacts. Furthermore, the study discusses the potential of targeted genetic editing to enhance plant resilience against heavy metal stress by manipulating genes associated with antioxidant defenses. This approach represents a promising frontier in safeguarding medicinal plants in metal-contaminated environments. Additionally, the research investigates the role of phytohormone signaling in plant adaptive mechanisms to heavy metal stress, revealing its influence on biochemical and physiological responses, thereby adding complexity to plant adaptation. The study underscores the importance of innovative technologies and global cooperation in protecting medicinal plants’ therapeutic potential and highlights the need for mitigation strategies to address heavy metal contamination effectively.
Development of a Polypropylene-Based Material with Flame-Retardant Properties for 3D Printing
Authors: Lorenzi Eleonora , Arrigo Rossella , Frache Alberto
Published: March 2024

In this study, a nanocomposite based on a heterophasic polypropylene copolymer containing 5 wt% of nanoclays and 3 wt% of compatibilizer was formulated via melt compounding to obtain a material suitable for Fused Filament Fabrication (FFF) processing with enhanced flame-retardant properties. From rheological analyses, the nanocomposite showed an important increase in the non-Newtonian behavior, and, therefore, improved FFF printability compared to the pristine PP COPO. A filament with suitable characteristics for FFF was produced using a single-screw extruder and subsequently 3D printed. Finally, cone calorimeter and UL94 tests were carried out on both 3D-printed and compression-molded specimens. The obtained results showed that the 3D-printed samples exhibited even better flame-retardant properties than the compression-molded ones, thus demonstrating not only the possibility of successfully developing and using functionalized PP-based filaments in 3D printing but also the possibility of obtaining enhanced flame-retardant properties compared to conventional compression molding.
Development of an Immunocapture-Based Polymeric Optical Fiber Sensor for Bacterial Detection in Water
Authors: Lopes Rafaela Nascimento , Pinto Paulo Henrique Silva , Vargas Juan David Lopez , Dante Alex , Macrae Andrew , Allil Regina Célia Barros , Werneck Marcelo Martins
Published: March 2024

Conventional methods for pathogen detection in water rely on time-consuming enrichment steps followed by biochemical identification strategies, which require assay times ranging from 24 hours to a week. However, in recent years, significant efforts have been made to develop biosensing technologies enabling rapid and close-to-real-time detection of waterborne pathogens. In previous studies, we developed a plastic optical fiber (POF) immunosensor using an optoelectronic configuration consisting of a U-Shape probe connected to an LED and a photodetector. Bacterial detection was evaluated with the immunosensor immersed in a bacterial suspension in water with a known concentration. Here, we report on the sensitivity of a new optoelectronic configuration consisting of two POF U-shaped probes, one as the reference and the other as the immunosensor, for the detection of Escherichia coli. In addition, another methos of detection was tested where the sensors were calibrated in the air, before being immersed in a bacterial suspension and then read in the air. This modification improved sensor sensitivity and resulted in a faster detection time. After the immunocapture, the sensors were DAPI-stained and submitted to confocal microscopy. The histograms obtained confirmed that the responses of the immunosensors were due to the bacteria. This new sensor detected the presence of E. coli at 104 CFU/mL in less than 20 min. Currently, sub-20 min is faster than previous studies using fiber-optic based biosensors. We report on an inexpensive and faster detection technology when compared with conventional methods.
Correction: Radaš et al. A Method for Estimating the State of Charge and Identifying the Type of a Lithium-Ion Cell Based on the Transfer Function of the Cell. Processes 2024, 12, 404
Authors: Radaš Ivan , Matić Luka , Šunde Viktor , Ban Željko
Published: March 2024

In Section 4 of the original publication [...]
Enhancing Alkaline Protease Stability through Enzyme-Catalyzed Crosslinking and Its Application in Detergents
Authors: Yang Haichuan , Ren Xiankun , Zhao Yating , Xu Tengjiao , Xiao Jing , Chen Hao
Published: March 2024

Enzymatic additives, particularly alkaline proteases, play a crucial role in enhancing detergent effectiveness against protein-based stains. Despite advancements in enzyme stabilization techniques, there is a need for innovative strategies to further improve protease stability in laundry detergents. However, research exploring the utilization of substrate imprinting technology to achieve this objective remains limited. Therefore, this study aims to enhance the stability of alkaline proteases in laundry detergents by employing casein as an imprinting substrate and utilizing transglutaminase-mediated (TGase) crosslinking to modify proteases 102 and 306. The optimal temperature, pH, and thermal stability of the modified alkaline proteases 102 and 306 showed no significant changes. However, these two modified alkaline proteases exhibited varying degrees of improvement in stability among the 14 detergent additives tested. Under 40 °C incubation for 24 h, the relative enzyme activity of modified alkaline protease 102 increased approximately 1.4–15-fold in AEO-9, BS-12, CMI, APG, FMEE, and SOE, while the relative enzyme activity of modified alkaline protease 306 increased approximately 1.2–3.7-fold across different additives (FMEE, AEO-9, BS-12, SOE, FAA, and AEC-9Na). These modified proteases demonstrated improved stability and wider applicability across commercial detergent formulations available. Integrated into standard laundry detergent at a 1:7 ratio before and after modification, they effectively removed protein stains from the cotton fabric after 24 h of 40 °C incubation. These findings provide insights into more effective stain-removal techniques.
Proteoform Analysis of the Human Olfactory System: A Window into Neurodegenerative Diseases
Authors: Rusi Eqrem , Pennacchia Fiorenza , Ruqa Wael Abu , Talarico Giuseppina , Bruno Giuseppe , Minni Antonio , Barbato Christian
Published: March 2024

Background: Very little is known about the proteome of the human olfactory system and how diseases associated with olfactory dysfunctions can affect it. With this review, we try to summarize the existing literature on the use of this technique for a better understanding of the neurodegenerative disease process. Methods: We used the PubMed database and found different articles which were then selected independently by three authors. Results: We found 157 articles, of which, after careful selection, only 30 were analyzed in this review. We presented all the associations identified between the protein/pathway alterations neurodegenerative diseases and SARS-CoV-2 infection. Conclusions: We think that the proteome of the olfactory system through blood, saliva, and mucus analysis could be a new way to better understand, diagnose, and finally treat neurodegenerative diseases.
Comparison and Validation of Multiple Medium- and High-Resolution Land Cover Products in Southwest China
Authors: Ji Xiangyu , Han Xujun , Zhu Xiaobo , Huang Yajun , Song Zengjing , Wang Jinghan , Zhou Miaohang , Wang Xuemei
Published: March 2024

The rapid advancement of remote sensing technology has given rise to numerous global- and regional-scale medium- to high-resolution land cover (LC) datasets, making significant contributions to the exploration of worldwide environmental shifts and the sustainable governance of natural resources. Nonetheless, owing to the inherent uncertainties embedded within remote sensing imagery, LC datasets inevitably exhibit inaccuracies. In this study, a local accuracy assessment of LC datasets in Southwest China was conducted. The datasets utilized in our analysis include ESA WorldCover, CLCD, Esri Land Cover, CRLC, FROM-GLC10, GLC_FCS30, GlobeLand30, and SinoLC-1. This study employed a sampling approach that combines proportional allocation and stratified random sampling (SRS) to gather sample points and compute confusion matrices to validate eight LC products. The local accuracy of the eight LC maps differs significantly from the overall accuracy provided by the original authors in Southwest China. ESA WorldCover and CLCD demonstrate higher local accuracy than other products in Southwest China, with their overall accuracy (OA) values being 87.1% and 85.48%, respectively. Simultaneously, we computed the area for each LC map based on categories, quantifying uncertainty through the reporting of confidence intervals for both accuracy and area parameters. This study aims to validate and compare eight LC datasets and assess precision and area of diverse spatial resolution datasets for mapping and monitoring across Southwest China.
Slow Work: The Mainstream Concept
Authors: Silvestre Maria João , Gonçalves Sónia P. , Velez Maria João
Published: March 2024

The global acceleration of the pace of life has led to an increase in working hours, time pressure, and intensification of work tasks in organisations, with consequences for the physical and psychological health of workers. This acceleration and its consequences make it especially relevant to consider the principles of the slow movement and how they can be applied to the work context, focusing on the importance of slowing down the current pace of work and its implications for the sustainability of people and organisations. The key purpose of this study is to define the concept of slow work and understand its relationship with individual and organisational factors in order to extract the structuring dimensions, enabling its empirical study and practical application. Using grounded theory methodology, we conducted 12 semi-structured interviews with leaders of organisations from different sectors. Data analysis was performed using the MAXQDA programme. It was concluded that slow work is a way of working that respects the balance between individual rhythms and the objectives of the organisation, in favour of the sustainability of both parties, and that advocates qualitative goals, thinking time, individual recovery, purpose, and the humanisation of work. The main contribution is the conceptualisation of a construct that may be used in future studies, as well as in the development of organisational policies promoting the slow work culture.
Gender-Based Violence and Sexism among Young Couples
Authors: Muñoz-Galiano Inés María , González-Gijón Gracia , Martínez-Heredia Nazaret , González García Erika
Published: March 2024

This study aims to characterise the prevalence of violence in intimate relationships among young university students and the internalisation of ambivalent sexism. The method used was a quantitative, descriptive study of Primary Education and Early Childhood Education groups in Andalusia, Spain. The final sample consisted of 848 participants. As a data collection tool, we used the VIREPA questionnaire and the Ambivalent Sexism Inventory. The results show that the most frequent forms of violence in young couples’ relationships are emotional, followed by physical and sexual violence, and emotional violence, followed by physical and psychological violence, with sexual aggression being slightly lower. Concerning the variable sex, although the averages are very close, women have higher averages in terms of emotional, physical, and psychological abuse; personal devaluation; and sexual abuse, while men have higher averages in terms of social and economic control. In addition, low levels of sexism were found to be ambivalent in the sample, with the results being highly differentiated by gender, with men having higher arithmetic means than women. This led us to design educational strategies that avoid inequalities between men and women and that contribute to the eradication of sexism and, consequently, the perpetration of violence.
International Legal Framework for Joint Governance of Oceans and Fisheries: Challenges and Prospects in Governing Large Marine Ecosystems (LMEs) under Sustainable Development Goal 14
Authors: Zhang Shijun , Wu Qian , Butt Muhammad Murad Zaib , Lv (Judge) Yan-Ming , Yan-E-Wang (Judge)
Published: March 2024

Sustainable Development Goal 14 (SDG 14) was launched in 2015 to provide an overarching governance framework for long-term sustainable ocean development. This research paper analyzes the extent to which global and regional organizations are coherent with SDG 14 under the existing frameworks of international law. This research paper further assessed Multilateral Environmental Agreements (MEAs) under the framework of the United Nations Convention on Law of the Sea (UNCLOS) and International Environmental Law (IEL) in the context of joint governance of ocean and fisheries as Large Marine Ecosystems (LMEs). According to its objectives, the research indicated that coherence across governing instruments should be increased for the governance of LMEs, leading to the development of a mechanism representing consistency with SDG 14. As a result, a mechanism that demonstrates the coherence of SDG 14 with Agenda—2030 is made, which indicates that, in order to govern fisheries and oceans as LMEs jointly, coherence among governing instruments must be increased. The conclusion followed SDG 14’s recommended actions, which are sly in line with UNCLOS and IEL, although the current initiatives of the regional organizations should be updated.
Assessing the Key Factors Measuring Regional Competitiveness
Authors: Kouskoura Amalia , Kalliontzi Eleni , Skalkos Dimitrios , Bakouros Ioannis
Published: March 2024

Today’s competitive advantage is built through sustainability. Regional competitiveness is undoubtedly one of the most important components for achieving sustainability of development at the local level. The analysis of key factors and their correlations, aimed at gauging regional competitiveness, yields valuable insights into the multifaceted elements that impact the growth and advancement of underprivileged regions. However, a crucial question remains: What precisely are the factors that form the foundation for assessing and measuring regional competitiveness? The literature review and analysis initially identified the ten most frequently mentioned factors for measuring regional competitiveness. The overarching aim of the research is the understanding of the ten main determining factors of regional competitiveness and the extraction of ten propositions based on those ten factors and exploring the relationship between various factors and regional competitiveness. This study’s time frame was from August 2023 to January 2024. In this research, our aim was to undertake a traditional literature review, concentrating on the context of doing a more traditional and critical literature review rather than a systematic literature review. We assess and evaluate published research spanning the last five years (2018–2023); we have identified and emphasized ten central and widely published factors that span various domains, including (1) economy, (2) labor market, (3) poverty and social inclusion, (4) healthcare, (5) educational infrastructure, (6) environmental considerations, (7) transportation infrastructure, (8) science and technology, (9) high-tech industries, and (10) innovation. Our main findings on these ten reviewed factors indicate the following. (a) The economy factor should be expanded to include education, healthcare, and environmental sustainability parameters, while (b) there is a need to address youth employment differences in the labor market. (c) Collaborative, multidimensional approaches are important, together with improving health infrastructures and services, to improve poverty and social exclusion. (d) Investments on education and innovation are required to improve prosperity and competitiveness, as are more informed policies and collaborative actions for a greener, healthier, and more sustainable future, and finally, (f) well-planned investments in transportation, the essential link between R&D, innovation, and economic progress, as well as additional high-tech industry development and innovative actions should be taken for permanently sustainable and economic growth of the regions. Overall, the research highlights how economic, social, and environmental factors intertwine to shape successful societies, forming a fundamental understanding of regional competitiveness. The research underscores the interconnectedness of economic, social, and environmental factors in shaping prosperous societies, providing a foundational understanding of regional competitiveness.
Introducing Industrial Clusters in Multi-Node Energy System Modelling by the Application of the Industry–Infrastructure Quadrant
Authors: Dhondt Nienke , Mendez Alva Francisco , Van Eetvelde Greet
Published: March 2024

To reach climate neutrality and circularity targets, industry requires infrastructure guaranteeing available, accessible, affordable, and sustainable supply of renewable energy and resources. The layout and operation of the required grids are a key topic in energy system modelling, a research field under constant development to tackle energy transition challenges. Although industry is a core player, its transformation and related policy initiatives are not yet fully reflected, resulting in a research gap. The industrial cluster concept, stimulating local cross-sectoral co-operation, circularity, and optimisation, offers untapped potential to improve the spatial representation of industry in energy system models and paves the way for cluster transition research. This paper introduces the Industry–Infrastructure Quadrant to visualise the relationship between industry and infrastructure presence by means of five distinct area categories. A complementary methodology integrates industrial clusters for multi-node selection in energy system models, solely relying on open-source data and cluster algorithms (DBSCAN). A case study applied to Belgium results in ten nodes to represent the territory, accurately reflecting crucial infrastructure elements and future needs whilst improving industry representation in terms of space and composition. The work serves as a first step towards a deeper understanding of the prominence of industrial clusters in sustainable energy systems.
The Impact of Green Innovation on Corporate Performance: An Analysis Based on Substantive and Strategic Green Innovations
Authors: Liu Mingxia , Liu Liqian , Feng Amei
Published: March 2024

Green innovation is a new approach to achieving sustainable social development. Examining whether firms can reap the rewards of this costly and risky endeavor is essential to assessing whether they can sustainably adhere to a green strategy. This study was conducted on a sample of Chinese A-share-listed firms from 2010 to 2021 and employed a two-way fixed-effects approach. We found that substantive and strategic green innovations significantly impact firms’ financial and environmental performance. Specifically, substantive green innovation leads to a significant improvement in financial performance, while strategic green innovation weakens financial performance; both types of green innovations lead to a significant improvement in environmental performance, with strategic green innovation being more effective in this regard compared to substantive green innovation. Moreover, our heterogeneity analyses showed that substantive green innovation has a weaker effect on improving financial performance in state-owned enterprises (SOEs) and in firms in regions with higher government environmental concerns; similarly, in SOEs, strategic green innovation has a weaker detrimental effect on financial performance. The findings of this study provide substantial evidence for promoting green innovation transformation and the upgrading of enterprises.
Social Life Cycle Assessment of Laser Weed Control System: A Case Study
Authors: Michaliszyn-Gabryś Beata , Bronder Joachim , Krupanek Janusz
Published: March 2024

Agriculture is an important sector of the European Union in social, economic and environmental terms. To ensure the sustainability of the sector, improvements are needed in key operations. Weeding is one of the most important activities affecting farm productivity, farmer safety, food safety and security, and the state of the environment. New technical and organizational solutions are needed to achieve the goals of the EU policy for sustainable agriculture. One of the advanced techniques is laser-based weed control. It is important to fully understand the impact of the introduction of these techniques on markets and agricultural practices in the context of sustainability. For this reason, a social life cycle analysis (S-LCA) was carried out. The method applied in the study was based on a participatory approach. The assessment was carried out from three perspectives: the general society, the farmers and the business perspective in relation to agriculture. Expert interviews based on questionnaires and workshops were conducted to gather opinions on the impact of new laser technology on specific aspects of its implementation. The results show generally positive effects from all perspectives, especially from the farmers’ perspective. From the farmers’ point of view, the most favored factors influencing the widespread introduction of WLAT are the economic consequences, the most important of which are the production costs associated with the introduction of the new technology. According to business experts, the perspective of business development, with particular emphasis on new prospects for businesses and development, is the most important factor. The quality of life and the environment are most valued by society.
Sustainable Spatial Planning Based on Ecosystem Services, Green Infrastructure and Nature-Based Solutions
Authors: Lai Sabrina , Zoppi Corrado
Published: March 2024

In the last decade, ecosystem services, that is, the goods and benefits provided by ecosystems to people, have gained significant importance in the planning domain, as a consequence of the growing scholarly awareness about, and interest in, the complex relationship between human well-being and nature [...]
Identifying the Local Influencing Factors of Arsenic Concentration in Suburban Soil: A Multiscale Geographically Weighted Regression Approach
Authors: Zhu Yuanli , Liu Bo , Jin Gui , Wu Zihao , Wang Dongyan
Published: March 2024

Exploring the local influencing factors and sources of soil arsenic (As) is crucial for reducing As pollution, protecting soil ecology, and ensuring human health. Based on geographically weighted regression (GWR), multiscale GWR (MGWR) considers the different influence ranges of explanatory variables and thus adopts an adaptative bandwidth. It is an effective model in many fields but has not been used in exploring local influencing factors and sources of As. Therefore, using 200 samples collected from the northeastern black soil zone of China, this study examined the effectiveness of MGWR, revealed the spatial non-stationary relationship between As and environmental variables, and determined the local impact factors and pollution sources of As. The results showed that 49% of the samples had arsenic content exceeding the background value, and these samples were mainly distributed in the central and southern parts of the region. MGWR outperformed GWR with the adaptative bandwidth, with a lower Moran’s I of residuals and a higher R2 (0.559). The MGWR model revealed the spatially heterogeneous relationship between As and explanatory variables. Specifically, the road density and total nitrogen, clay, and silt contents were the primary or secondary influencing factors at most points. The distance from an industrial enterprise was the secondary influencing factor at only a few points. The main pollution sources of As were thus inferred as traffic and fertilizer, and industrial emissions were also included in the southern region. These findings highlight the importance of considering adaptative bandwidths for independent variables and demonstrate the effectiveness of MGWR in exploring local sources of soil pollutants.
Electrospinning Chitosan/Fe-Mn Nanofibrous Composite for Efficient and Rapid Removal of Arsenite from Water
Authors: Min Lingli , Ma Yahui , Zhang Bi , He Dulan , Chen Jinhua , Li Xuerong , Wang Shuhua , Chi Yulang
Published: March 2024

Efficient removal of extremely mobile and toxic As(III) from water is a challenging but critical task. Herein, we developed a functionalized sorbent of chitosan nanofiber with iron–manganese (Fe-Mn@CS NF) using a one-step hybrid electrospinning approach to remove trace As(III) from water. Batch adsorption studies were performed to determine the adsorption efficiency under a variety of conditions, including contact time, starting concentration of As(III), ionic strength, and the presence of competing anions. The experimental results demonstrated that the concentration of As(III) dropped from 550 to less than 1.2 µg/L when using 0.5 g/L Fe-Mn@CS NF. This demonstrates the exceptional adsorption efficiency (99.8%) of Fe-Mn@CS NF for removing As(III) at pH 6.5. The kinetic tests revealed that the adsorption equilibrium was reached in 2.6 h, indicating a quick uptake of As(III). The ionic strength effect analysis showed that the adsorbed As(III) formed inner-sphere surface complexes with Fe-Mn@CS NF. The presence of SO42− or F− had a negligible impact on As(III) uptake, while the presence of PO43− impeded As(III) absorption by competing for adsorption sites. The exhausted sorbent could be effectively regenerated with a dilute NaOH solution. Even after 10 cycles of regenerating Fe-Mn@CS NF, the adsorption efficiency of As(III) in natural groundwater was maintained over 65%. XPS and FTIR analyses show that the presence of M–OH and C–O groups on the sorbent surface is essential for removing As(III) from water. Overall, our study highlights the significant potential of Fe-Mn@CS NF for the efficient and quick elimination of As(III) from water.