bluuebunny/crossref_metadata_2025 huggingface dataset:
Inhibitory Effect of 2-Aza-8-oxohypoxanthine on Tyrosinase Activity and Melanin Production
Authors: Aoshima Hisae , Mizuno Ruka , Iwatsu Yuho , Onishi Shiori , Hyodo Sayuri , Ibuki Rinta , Kawagishi Hirokazu , Saitoh Yasukazu
Published: March 2024

A fairy chemical, 2-aza-8-oxohypoxanthine, has exhibited broad effects on skin barrier function, leading to its launch as a cosmetic ingredient. A clinical trial on a lotion containing 0.1% 2-aza-8-oxohypoxanthine demonstrated the ability of this chemical to increase skin lightness based on the analysis of L* values. In the present study, to elucidate the mechanism underlying the increase in skin lightness, we aimed to investigate the effect of 2-aza-8-oxohypoxanthine on murine melanoma cell lines, focusing on its influence on tyrosinase activity and melanin production. Our findings revealed that the addition of 2-aza-8-oxohypoxanthine inhibited tyrosinase activity by 13% compared with the untreated control. Similarly, melanin production was suppressed by 36% compared with the control. These results strongly suggest that the inhibition of tyrosinase effectively suppressed melanin production. Thus, 2-aza-8-oxohypoxanthine acts by inhibiting tyrosinase and melanin production to promote skin lightening. This study provides novel insights into the skin-lightening mechanism of 2-aza-8-oxohypoxanthine, demonstrating its ability to inhibit melanin production through the suppression of pro-inflammatory factors, thereby highlighting its potential as an effective cosmetic ingredient for lightening skin tone.
Multi-Source Ferrous Metallurgical Dust and Sludge Recycling: Present Situation and Future Prospects
Authors: Zhang Jiansong , Zhang Yuzhu , Long Yue , Du Peipei , Tian Tielei , Ren Qianqian
Published: March 2024

Multi-source ferrous metallurgical dust and sludge are significant components of iron-containing solid waste in the iron and steel industry. It is crucial for the sustainable operation of steel enterprises to recycle iron from ferrous metallurgical dust and sludge (FMDS) for use in steel smelting. However, besides Fe, FMDS also contains valuable elements such as Zn, Pb, K, and Na, among others. While these valuable elements hold high recovery value, they impede the direct reuse of FMDS by iron and steel enterprises. This paper introduces the compositional characteristics of multi-source ferrous metallurgical dust and sludge, analyzes the main recycling technologies associated with FMDS at the present stage of development, and discusses the characteristics of different technologies. In view of this, a new idea of the “cooperative treatment of multi-source ferrous metallurgical dust and sludge—full quantitative recovery of valuable elements” is put forward. This new idea integrates a variety of treatment processes to directly recycle FMDS within the steel plant, enhancing the adequacy of dust and sludge recovery and reducing the risk of environmental pollution. This paper provides a reference for achieving the full quantification and utilization of high-value-added FMDS in steel plants.
Geography, Climate, and Habitat Shape the Microbiome of the Endangered Rock Gnome Lichen (Cetradonia linearis)
Authors: Paulsen Julianna , Allen Jessica L. , Morris Nathan , Dorey Jenna , Walke Jenifer B. , Alter S. Elizabeth
Published: March 2024

Bacterial symbionts are essential components of healthy biological systems. They are increasingly recognized as important factors in the study and management of threatened species and ecosystems. Despite management shifts at the ecosystem level, microbial communities are often neglected in discussions of holobiont conservation in favor of the primary members of a symbiosis. In this study, we addressed the bacterial community knowledge gap for one of two federally endangered lichen species in the United States, Cetradonia linearis (Cladoniaceae). We collected 28 samples of the endangered rock gnome lichen (Cetradonia linearis) from 13 sites and characterized bacterial communities in thalli using 16S rRNA metabarcoding to investigate the factors influencing the microbiome composition and diversity within the thallus. We found that Proteobacteria (37.8% ± 10.3) and Acidobacteria (25.9% ± 6.0) were the most abundant phyla recovered. Cyanobacteria were a major component of the microbiome in some individuals, despite this species associating with a green algal symbiont. Habitat, climate, and geography were all found to have significant influences on bacterial community composition. An analysis of the core microbiome at a 90% threshold revealed shared amplicon sequence variants in the microbiomes of other lichens in the family Cladoniaceae. We concluded that the bacterial microbiome of Cetradonia linearis is influenced by environmental factors and that some bacterial taxa may be core to this group. Further exploration into the microbiomes of rare lichen species is needed to understand the importance of bacterial symbionts to lichen diversity and distributions.
Considering Phytosphingosine-Based Ceramide Formulations for Atopic Skin Care
Authors: Mijaljica Dalibor , Townley Joshua P. , Hondros Angelina , Hewson Caroline , Harrison Ian P. , Spada Fabrizio
Published: March 2024

This review provides an overview of the structural and functional features of key phytosphingosine-based ceramides (CERs), notably CER[EOP], CER[NP], and CER[AP], and their role in atopic skin health. Herein, we discuss how these indispensable stratum corneum (SC) lipids maintain skin barrier homeostasis and contribute to the skin’s barrier function in terms of its cohesiveness and resilience. We also consider the usefulness of CER[EOP], CER[NP], and CER[AP] in preserving skin hydration and protecting and/or repairing dry, itchy, or sensitive skin. Next, we explore how and to what extent an imbalance or inadequate amounts of CER[EOP], CER[NP], and CER[AP] contribute to the hallmark characteristics of atopic skin diseases like eczema. Furthermore, we discuss the importance of complementary SC resident lipids such as cholesterol (CHOL) and free fatty acids (FFAs), which are crucial for optimal CER function. Studies have shown that delivering topical CERs in balanced and optimal combination with CHOL and FFAs—while supporting and boosting the endogenous biosynthesis of CERs using ingredients such as niacinamide and lactic acid—helps relieve symptoms of atopic diseases to provide some measure of relief. Finally, we look at some emerging ingredients that can complement the science of CERs in healthy and diseased skin.
Detection of Acute Brain Injury in Intensive Care Unit Patients on ECMO Support Using Ultra-Low-Field Portable MRI: A Retrospective Analysis Compared to Head CT
Authors: Cho Sung-Min , Khanduja Shivalika , Kim Jiah , Kang Jin Kook , Briscoe Jessica , Arlinghaus Lori R. , Dinh Kha , Kim Bo Soo , Sair Haris I. , Wandji Audrey-Carelle N. , Moreno Elena , Torres Glenda , Gavito-Higuera Jose , Choi Huimahn A. , Pitts John , Gusdon Aaron M. , Whitman Glenn J.
Published: March 2024

Early detection of acute brain injury (ABI) is critical to intensive care unit (ICU) patient management and intervention to decrease major complications. Head CT (HCT) is the standard of care for the assessment of ABI in ICU patients; however, it has limited sensitivity compared to MRI. We retrospectively compared the ability of ultra-low-field portable MR (ULF-pMR) and head HCT, acquired within 24 h of each other, to detect ABI in ICU patients supported on extracorporeal membrane oxygenation (ECMO). A total of 17 adult patients (median age 55 years; 47% male) were included in the analysis. Of the 17 patients assessed, ABI was not observed on either ULF-pMR or HCT in eight patients (47%). ABI was observed in the remaining nine patients with a total of 10 events (8 ischemic, 2 hemorrhagic). Of the eight ischemic events, ULF-pMR observed all eight, while HCT only observed four events. Regarding hemorrhagic stroke, ULF-pMR observed only one of them, while HCT observed both. ULF-pMR outperformed HCT for the detection of ABI, especially ischemic injury, and may offer diagnostic advantages for ICU patients. The lack of sensitivity to hemorrhage may improve with modification of the imaging acquisition program.
Toward Virtual Testing of Unmanned Aerial Spraying Systems Operating in Vineyards
Authors: Carreño Ruiz Manuel , Bloise Nicoletta , Guglieri Giorgio , D’Ambrosio Domenic
Published: March 2024

In recent times, the objective of reducing the environmental impact of the agricultural industry has led to the mechanization of the sector. One of the consequences of this is the everyday increasing use of Unmanned Aerial Systems (UAS) for different tasks in agriculture, such as spraying operations, mapping, or diagnostics, among others. Aerial spraying presents an inherent problem associated with the drift of small droplets caused by their entrainment in vortical structures such as tip vortices produced at the tip of rotors and wings. This problem is aggravated by other dynamic physical phenomena associated with the actual spray operation, such as liquid sloshing in the tank, GPS inaccuracies, wind gusts, and autopilot corrections, among others. This work focuses on analyzing the impact of nozzle position and liquid sloshing on droplet deposition through numerical modeling. To achieve this, the paper presents a novel six degrees of freedom numerical model of a DJI Matrice 600 equipped with a spray system. The spray is modeled using Lagrangian particles and the liquid sloshing is modeled with an interface-capturing method known as Volume of Fluid (VOF) approach. The model is tested in a spraying operation at a constant velocity of 2 m/s in a virtual vineyard. The maneuver is achieved using a PID controller that drives the angular rates of the rotors. This spraying mission simulator was used to obtain insights into optimal nozzle selection and positioning by quantifying the amount of droplet deposition.
Traumatic Cardiac Arrest: Navigating the Spectrum of Fundamentals and Advances
Authors: Epelde Francisco
Published: March 2024

Traumatic Cardiac Arrest (TCA) arises from severe trauma, both blunt and penetrating, leading to the sudden cessation of cardiac activity [...]
A Systematic Review of Preservice Science Teachers’ Experience of Problem-Based Learning and Implementing It in the Classroom
Authors: Magaji Adewale , Adjani Michael , Coombes Samuel
Published: March 2024

This study investigates whether problem-based learning (PBL) is used in preservice science teachers’ education, how it develops their pedagogical approach, and what they understand about PBL and its implementation in the classroom. The study utilized a systematic review of the related literature in the field of PBL, with a focus on preservice science teachers’ education. It used a specific search strategy to identify the literature following the inclusion and exclusion criteria, adhering to the PRISMA guidance and generating a flow diagram. In addition, the Mixed-Methods Appraisal Tool was used to appraise the quality of the articles. The results show that PBL is not fully utilized in preservice science teachers’ training and just a few relevant articles have been published in this area. The study reveals that PBL is an effective pedagogical approach in teaching and learning and preservice science teachers should be engaged in the process of learning by taking part in the PBL design process and experiencing it in the classroom as students of their instructors to learn from the process. Continuing professional development would help preservice science teachers to develop the knowledge and skills to design and implement PBL in their classrooms.
The Asian American Dilemma in DEI: Finding Space in the Diversity Debates
Authors: Currier Carrie Liu
Published: March 2024

Diversity, Equity, and Inclusion, better known as DEI, has transformed higher education. Since its inception in the 1960s, DEI has experienced a series of highs and lows. In response to racial justice activism that emerged in 2020, DEI initiatives started to gain more traction. However, several new challenges threaten the future of DEI. The 2023 Supreme Court ruling striking down the use of affirmative action in admissions, the conservative backlash against Critical Race Theory, and the increase in racially targeted violence have slowed the momentum of DEI initiatives across the country. In addition, certain groups, like Asian Americans, face a unique dilemma in the diversity debates as racial and ethnic minorities that are considered overrepresented in higher education. This essay examines where Asian Americans fit in the diversity debates today and explores what the situation looks like for Asian Americans in higher education when DEI is under attack. It concludes by offering suggestions for making Asian Americans more visible and what institutions should be doing to enhance wellness for minorities on campus.
Enhancement of Photo-Electrical Properties of CdS Thin Films: Effect of N2 Purging and N2 Annealing
Authors: Sankalpa Gayan K. L. , Kumarasinghe Gayan R. K. K. G. R. , Dassanayake Buddhika S. , Kumarage Gayan W. C.
Published: March 2024

The impact of N2 purging in the CdS deposition bath and subsequent N2 annealing is examined and contrasted with conventional CdS films, which were deposited without purging and annealed in ambient air. All films were fabricated using the chemical bath deposition method at a temperature of 80 °C on fluorine-doped tin oxide glass slides (FTO). N2 purged films were deposited by introducing nitrogen gas into the deposition bath throughout the CdS deposition process. Subsequently, both N2 purged and un-purged films underwent annealing at temperatures ranging from 100 to 500 °C for one hour, either in a nitrogen or ambient air environment. Photoelectrochemical (PEC) cell studies reveal that films subjected to both N2 purging and N2 annealing exhibit a notable enhancement of 37.5% and 27% in ISC (short-circuit current) and VOC (open-circuit voltage) values, accompanied by a 5% improvement in optical transmittance compared to conventional CdS thin films. The films annealed at 300 °C demonstrate the highest ISC, VOC, and VFB values, 55 μA, 0.475 V, and −675 mV, respectively. The improved optoelectrical properties in both N2-purged and N2-annealed films are attributed to their well-packed structure, enhanced interconnectivity, and a higher sulfur to cadmium ratio of 0.76 in the films.
Optimal Implementations of 8b/10b Encoders and Decoders for AMD FPGAs
Authors: Popa Stefan , Ivanovici Mihai , Coliban Radu-Mihai
Published: March 2024

The 8b/10b IBM encoding scheme is used in a plethora of communication technologies, including USB, Gigabit Ethernet, and Serial ATA. We propose two primitive-based structural designs of an 8b/10b encoder and two of an 8b/10b decoder, all targeted at modern AMD FPGA architectures. Our aim is to reduce the amount of resources used for the implementations. We compare our designs with implementations resulting from behavioral models as well as with state-of-the-art solutions from the literature. The implementation results show that our solutions provide the lowest resource utilization with comparable maximum operating frequency and power consumption. The proposed structural designs are suitable for resource-constrained data communication protocol implementations that employ the IBM 8b/10b encoding scheme. This paper is an extended version of our paper published at the 2022 International Symposium on Electronics and Telecommunications (ISETC), Timisoara, Romania, 10–11 November 2022.
Adaptive PI Controller for Speed Control of Electric Drives Based on Model Reference Adaptive Identification
Authors: Zuo Yuefei , Zhu Shushu , Cui Yebing , Liu Chuang , Lin Xiaogang
Published: March 2024

In this paper, to achieve auto-setting of PI controller gains when mechanical parameters are unknown, two adaptive PI controllers for speed control of electric drives are developed based on model reference adaptive identification. The adaptive linear neuron (ADALINE) neural network is used to interpret the proposed adaptive PI controller. The effect of the low-pass filter used for the feedback speed and the Coulomb friction torque on parameter identification is analysed, and a new motion equation using filtered speed is given. Additionally, a parameter identification method based on unipolar speed reference is provided. The two proposed adaptive PI controllers and the conventional PI controller are compared based on the high-precision digital simulation using MATLAB/Simulink (version R2023a). The simulation results show that both of the two proposed adaptive PI controllers are able to identify mechanical parameters, but the adaptive PI-1 controller outperforms the adaptive PI-2 controller due to its better noise attenuation performance.
Technologies for Heat Hazard Governance and Thermal Energy Recovery in Deep Mines
Authors: Ran Yujin , Peng Jia , Tian Xiaolin , Luo Dengyun , Zhao Jie , Pei Peng
Published: March 2024

As the depth of mines continues to increase, the problems of high temperature and potential heat damage become more prominent. In this study, the characteristics of natural and industrial heat sources in mines were reviewed, and then mainstream heat hazard governance technologies and corresponding utilization methods were discussed and compared. The first category of technologies comprises the optimization of ventilation systems, the insulation of roc heat, and artificial refrigeration. These cooling approaches are limited because the heat resources cannot be recovered. The second category is the utilization of waste industrial heat in mines, including the use of waste heat from the air compressors, drainage water, and foul airflow, but the current applications of these approaches have limited effectiveness in cooling the underground space. The third category is the application of geo-structures to recover natural heat in mines. Based on the principles of the chiller/heat pump cycle and the characteristics of heat sources and sinks in mines, the potential and constraints of each technology were discussed and summarized. This study provides a scientific reference for the selection of suitable heat governance and utilization technologies.
Partial Separation of Carbonated Material to Improve the Efficiency of Calcium Looping for the Thermochemical Storage of Solar Energy
Authors: Pascual Sara , Tregambi Claudio , Di Lauro Francesca , Solimene Roberto , Salatino Piero , Montagnaro Fabio , Romeo Luis M. , Lisbona Pilar
Published: March 2024

Concentrating solar power (CSP) technology with thermal energy storage (TES) could contribute to achieving a net zero emissions scenario by 2050. Calcium looping (CaL) is one of the potential TES processes for the future generation of CSP plants coupled with highly efficient power cycles. Research on CaL as a system for thermochemical energy storage (TCES) has focused on efficiency enhancement based on hybridization with other renewable technologies. This work proposes a novel solid management system to improve the efficiency of a CaL TCES system. The inclusion of a solid–solid separation unit after the carbonation step could lead to energy and size savings. The role of segregation between carbonated and calcined material on plant requirements is assessed, given the experimental evidence on the potential classification between more and less carbonated particles. The results show lower energy (up to 12%) and size (up to 76%) demands when the circulation of less carbonated material through the CaL TCES system diminishes. Moreover, under a classification effectiveness of 100%, the retrieval energy could increase by 32%, and the stored energy is enhanced by five times. The present work can be a proper tool to set the design and size of a CaL TCES system with a partial separation of the carbonated material.
Conditions That Determine Changing the Function of Mine Shafts in a Gassy Coal Mine—A Case Study
Authors: Szlązak Nikodem , Korzec Marek
Published: March 2024

Ventilation plays a key role in ensuring safe exploitation in underground gassy mines. Over the years, the structure of a mine’s ventilation network changes. Therefore, it becomes necessary to construct new excavations, while some existing excavations lose their potential for future mining activity. Constructing new excavations, especially shafts, is very expensive. Therefore, mine operators are looking for solutions to ensure appropriate ventilation by reorganizing the ventilation network and using existing infrastructure, including shafts. This article presents the example of a coal mine located in the Upper Silesian Coal Basin in Poland to discuss the factors relevant to switching the function of one of the central shafts from a downcast function to an upcast one. This change is accompanied by the closure of a peripheral upcast shaft. The main aim of this change is to assess the possibility of further safe operation without the construction of new shafts. This action also results in the release of the coal currently closed in the pillar of the shaft being closed. Using a numerical model of the mine ventilation network allowed for the comparison of the considered solutions before making final decisions and implementing changes in the network. The calculations showed that it is possible to provide appropriate ventilation in the mine, but it would need to take into account certain technological assumptions, like the additional technical function of the changed shaft. This article discusses the advantages and disadvantages of modifications to the mine ventilation network, as well as their guiding principles, in the context of existing methane hazards. The procedure presented in this article can be adopted in other mine ventilation networks in which analogous modifications are considered.
Machine Learning Analysis of Thermal Performance Indicator of Heat Exchangers with Delta Wing Vortex Generators
Authors: Aksöz Zafer Yavuz , Günay M. Erdem , Aziz Muhammad , Tunç K. M. Murat
Published: March 2024

In this work, the design features of delta wing vortex generators (DWVGs) on the thermo-hydraulic performance of heat exchangers are investigated using machine learning. Reynolds numbers, attack angle, length, wing-to-width ratio, and relative pitch ratio of DWVGs were used as descriptor variables, with Nusselt numbers, friction factors, and performance evaluation criterion (PEC) serving as target variables. Decision tree classification revealed the pathways leading to high or low values of the performance variables. Among many of those pathways, it was found that high Reynolds numbers (between 8160 and 9800) and high attack angles (greater than or equal to 47.5°) lead to high Nusselt numbers. On the other hand, an attack angle between 41° and 60°, a Reynolds number less than 8510, and a wing-to-width ratio greater than or equal to 0.4 causes a high friction factor. Finally, the PEC is likely to enhance when the Reynolds number is higher than or equal to 10,300 and the attack angle is between 47.5° and 60°. In addition to the decision tree analysis, SHapley Additive exPlanations (SHAP) analysis (a part of explainable machine learning) was also applied to reveal the importance of design features and their positive and negative effects on the target variables. For example, for a Nusselt number as the target variable, the Reynolds number was found to be the most influential variable, followed by the attack angle and the relative pitch ratio, all of which had a positive impact on the target. It was then concluded that machine learning methods could help provide strong insights into the configuration design features of heat exchangers in DWVGs to improve their efficiency and save energy.
Energy Efficiency and Stability of Micro-Hydropower PAT-SEIG Systems for DC Off-Grids
Authors: Catelas João M. R. , Fernandes João F. P. , Pérez-Sánchez Modesto , López-Jiménez P. Amparo , Ramos Helena M. , Branco P. J. Costa
Published: March 2024

Using pumps operating as turbines (PATs) offers the possibility of increasing the sustainability of water and energy systems by recovering the excess energy that would be otherwise lost in pressure-reducing valves or head loss chambers. Regarding on-grid applications, there have been many research works, and PATs have been implemented in several ways. However, more research still needs to be done on optimizing the efficiency and stability of PATs operating in off-grid systems. This work contributes to the development of stable direct current (DC) off-grid electric systems based on PATs using a self-excited induction generator (SEIG). In this context, a methodology is proposed, based on the hydraulic, mechanical, and electric subsystems, to define the PAT-SEIG operational area to maximize energy conversion and system efficiency. These limits depend highly on the capacitor value, rotational speed, and electric load. In addition, an analytical model is proposed to estimate the PAT-SEIG operation under specific conditions. With this, water managers can design and optimize an off-grid PAT-SEIG system and define the best hydraulic machines, electronic equipment, and control elements to maximize energy conversion within the target of operational limits. Two micro PAT-SEIG setups were implemented in the hydraulic laboratory of IST/CERIS under typical operating conditions to validate the proposed methodology. The system’s maximum efficiency and operational limits can be adapted using different capacitor values for the excitation of the SEIG. Considering the nominal efficiencies of the system’s components, the maximum p.u. efficiency obtained for each PAT-SEIG system was between 0.7 and 0.8 p.u.
Evaluation of the Effects of Window Films on the Indoor Environment and Air-Conditioning Electricity Consumption of Buildings
Authors: Huang Hsing-Yun , Hu Wei-Chieh , Chen Chun-Kuei , Lin Ta-Hui , Lin Feng-Yi , Cheng Chung-Chih , Su Tzu-Ching , Yu Pei-Yu
Published: March 2024

The objective of this study was to evaluate the effects of window films on indoor environmental conditions and electricity consumption of air conditioning. The research focused on the performance of different window films (HAG, RG), taking into account variations from different building orientations. The findings of this research indicated that building orientation could significantly influence the duration of direct sunlight entering the interior, with the areas closer to the glass being more susceptible to the effects of outdoor temperature and solar radiation. The clear glass with heat-absorbing film (HAG) and reflective film (RG) both reduced the indoor temperature and indoor illuminance while increasing indoor comfort. The RG could accumulate less heat on the glass surface compared with the HAG. The glass temperature of the RG will be lower than the HAG. The electricity-saving ratios of the HAG were 1.4%, 1.9%, 1.4%, and 1.2%, respectively, when facing the east, south, west, and northwest orientations compared with the clear glass (OG). The electricity-saving ratios of the RG were 3%, 4.2%, 4.2%, and 10.3%, respectively.
The Requirements of Managing Phase I Clinical Trials Risks: The British and Italian Case Studies
Authors: Di Tonno Davide , Martena Laura , Taurisano Manuela , Perlin Caterina , Loiacono Anna Chiara , Lagravinese Stefano , Marsigliante Santo , Maffia Michele , Esposito Susanna , Villa Gianluca , Gori Giovanni , Bray Leonardo , Distante Alessandro , Miani Alessandro , Piscitelli Prisco , Argentiero Alberto
Published: March 2024

Phase I clinical trials represent a critical point in drug development because the investigational medicinal product is being tested in humans for the first time. For this reason, it is essential to evaluate and identify the Maximum Tolerated Dose (MTD) and the safety of the new compound. To mitigate the possible risks associated with drug administration and treatment, the European Competent Authority issued various guidelines to provide provisions and harmonize risk management processes. In the UK and Italy, particular attention should be paid to the Medicines & Healthcare Products Regulatory Agency (MHRA) phase I accreditation scheme and the specific rules set by the Italian Drug Authority through the AIFA Determination no. 809/2015. Both reference documents are based on the concept of quality risk management while conducting phase I clinical studies. Moreover, the AIFA determination outlines specific requirements for those sites that want to conduct non-profit phase I clinical trials. Indeed, the document reports peculiar activities to the “Clinical Trial Quality Team”, which is a team that should support the clinical site researchers in designing, starting, performing, and closing non-profit phase I studies. In this paper, we provide a general overview of the main European guidelines concerning the management of risks during phase I trials, focusing on the main peculiarities of the schemes and rules set by the MHRA and AIFA.
Coatings Adhesion on Chemically Modified Scots Pine (Pinus sylvestris L.) Woods
Authors: Alade Adefemi Adebisi , Hoette Christoph , Militz Holger
Published: March 2024

Synergizing coating and wood modification is a promising concept to develop wood products that have multi-qualities that include excellent dimensional stability, durability, and weathering resistance. However, the nature of the modified substrate is a critical parameter for coating adhesion. Chemical modification of wood impacts the physicochemical properties of the wood, which could in turn impact the adhesion of coatings. Therefore, this study investigated the adhesion of seven different coatings to Pinus sylvestris L. woods chemically modified through esterification with acetic anhydride (acetylated), etherification with 1.3-dimethylol-4.5-dihydroxyethyleneurea (DMDHEU), and esterification with sorbitol/citric acid formulation (SorCA). The selected coatings include water-based and solvent-based examples with different binder constituents that include acrylate, alkyd, natural oil, and hybrids. Coating adhesion to the modified wood was evaluated in terms of crosscut resistance to detachment, wear-resistant hardness, and pull-off strength. Chemical modifications yielded positive impacts on coating adhesion compared to unmodified wood. Coatings adhered better to acetylated and DMDHEU-modified P. sylvestris wood than on SorCA-modified wood. Solvent-based coatings had higher adhesion strength on the acetylated, DMDHEU-modified, and unmodified woods than water-based coatings. On the other hand, water-based coatings mostly adhered better to SorCA-modified wood compared to solvent-based coating. Overall, the coating of chemically modified P. sylvestris wood is promising for the development of an enhanced wood protection system.
Object-Oriented Convolutional Neural Network for Forest Stand Classification Based on Multi-Source Data Collaboration
Authors: Zhao Xiaoqing , Jing Linhai , Zhang Gaoqiang , Zhu Zhenzhou , Liu Haodong , Ren Siyuan
Published: March 2024

Accurate classification of forest stand is crucial for protection and management needs. However, forest stand classification remains a great challenge because of the high spectral and textural similarity of different tree species. Although existing studies have used multiple remote sensing data for forest identification, the effects of different spatial resolutions and combining multi-source remote sensing data for automatic complex forest stand identification using deep learning methods still require further exploration. Therefore, this study proposed an object-oriented convolutional neural network (OCNN) classification method, leveraging data from Sentinel-2, RapidEye, and LiDAR to explore classification accuracy of using OCNN to identify complex forest stands. The two red edge bands of Sentinel-2 were fused with RapidEye, and canopy height information provided by LiDAR point cloud was added. The results showed that increasing the red edge bands and canopy height information were effective in improving forest stand classification accuracy, and OCNN performed better in feature extraction than traditional object-oriented classification methods, including SVM, DTC, MLC, and KNN. The evaluation indicators show that ResNet_18 convolutional neural network model in the OCNN performed the best, with a forest stand classification accuracy of up to 85.68%.
Temporal Variation and Factors Influencing the Stability of NPP in Chinese Shrubland Ecosystems
Authors: Li Ting , Hu Jun , Li Li , Liang Jin , Li Dandan , Liu Qing
Published: March 2024

Given the importance of net primary productivity (NPP) as an indicator of ecosystem productivity and its role in the global carbon cycle, understanding the factors that influence its stability can greatly improve our understanding of shrubland ecosystems and their response to global change. Between 2015 and 2022, we visited most of the primary shrubland in China and surveyed 751 shrubland patches. We collected data on community structure (canopy cover), shrub and herb species diversity, and soil physicochemical properties (soil nitrogen content and soil phosphorus content). We also used remote sensing data to obtain NPP from 2001 to 2022. We quantified temporal trends in shrubland stability in China and used structural equation modeling to disentangle the direct and indirect effects of climate, soil, and shrub community structural properties. We found that 85.3% of China’s shrublands remained stable in terms of productivity from 2001 to 2022, 10.6% of the shrublands increased in stability, and 4.1% of the shrublands need to be alerted to a significant decrease in stability. These changes in stability were mainly related to precipitation changes. We found that changes in precipitation directly affected the stability of net productivity and also indirectly through changes in shrub cover and species richness. Some aspects of community structure moderated these effects. We further found that the portion of shrubland with an upward trend in stability did not have a significant correlation between the stability of net primary productivity and community structure and soil N. Instead, soil phosphorus was the largest direct influence.
Possible Role of High-Molecular-Weight Salivary Proteins in Astringency Development
Authors: Manjón Elvira , García-Estévez Ignacio , Escribano-Bailón María Teresa
Published: March 2024

Since the initial findings that food tannin/salivary protein interaction and subsequent precipitation is the main cause of the astringency development, numerous studies have concentrated on the supramolecular characterization of these bindings. Most of these works have focused on the low-molecular-weight salivary proteins, in particular proline-rich proteins, hardly considering the involvement of the high-molecular-weight salivary proteins (HMWSPs). Herein, different techniques such as fluorescence quenching, Isothermal Titration Calorimetry and HPLC-MS-DAD were employed to determine the occurrence of molecular interactions between three HMWSPs, namely, mucin, α-amylase and albumin, and a complex extract of tannins composed mainly of flavan-3-ols. The obtained results prove the capability of the three HMWSPs to effectively interact with the flavan-3-ol extract, involving different forces and action mechanisms. Flavan-3-ols are capable of interacting with mucins by a mechanism that includes the formation of stable ground-state complexes that led to approximately 90% flavan-3-ol precipitation, while for albumin and α-amylase, the interaction model of a “sphere of action” was established, which represented only 20% flavan-3-ol precipitation. These data highlight the relevance of including HMWSPs in astringency analyses, paying special heed to the role of mucins in the interaction and subsequent precipitation of dietary tannins.
Chemical Components, Nutritional Value, Volatile Organic Compounds and Biological Activities In Vitro of Coconut (Cocos nucifera L.) Water with Different Maturities
Authors: Zhang Yufeng , Kan Jintao , Liu Xiaoyan , Song Fei , Zhu Kexue , Li Niu , Zhang Youlin
Published: March 2024

The differences in chemical components, nutritional value, volatile organic compounds, antioxidant activity and α-glucosidase inhibiting capacity in vitro in coconut waters with different maturities (8, 10, and 12 months after pollination and germination height below 10 cm were named CW-8, CW-10, CW-2, and MCW, respectively) from the tall coconut variety were compared and analyzed. Results showed that as the maturity increased, the ash and reducing sugar in coconut water gradually decreased, while the protein content and fatty acids continued to increase. Potassium, phosphorus, and sodium in four coconut waters showed a trend of first increasing and then decreasing, and CW-12 had the highest content of 2133.85 mg/kg, 239.74 mg/kg, and 310.75 mg/kg, respectively. The volatile organic compounds (VOCs) present in higher amounts are alcohols and esters in coconut waters, among which 2-methylbutyl acetate, ethyl acetate monomer, and 2-methyl-1-propanol dimer were the characteristic volatile substances that distinguish MCW from the other three coconut waters. MCW has the best DPPH-scavenging and ferrous-ion-chelating ability (87.39% and 7.65%), while CW-8 had the highest hydroxyl and ABTS radicals scavenging rate (97.31% and 83.48%) and α-glucosidase inhibitory rate (81.36%). These results can provide support for the differential and high-value utilization of coconut water with different maturities.
Evaluation of Chongqing Tuo Tea at Different Grades: An Integrated Approach by Artificial and Intelligent Sensory, Non-Volatile, and Volatile Compounds Analysis
Authors: Miao Yiwen , Wang Lilei , Bai Fei , Zheng Shuting , Yan Jingna , Wei Hao , Meng Qing , Tong Huarong
Published: March 2024

This study aims to investigate the relationship between the grades of Tuo tea and the quality of compounds. A combination of artificial sensory evaluation, intelligent sensory technologies (electronic nose and electronic tongue), gas chromatography–mass spectrometry (GC-MS), high-performance liquid chromatography (HPLC), chemical–physical analysis, and multivariate statistical analysis were employed to examine the differences among three grades of Tuo tea (SG, 1G, and 2G). The results of artificial sensory evaluation, electronic tongue, and electronic nose revealed that the aroma and taste of different grades of Tuo tea varied greatly. A total of 112 volatile compounds and 44 non-volatile compounds were identified. In order to elucidate the key components that cause differences in the quality of Tuo tea, 2 partial least squares discriminant analysis (PLS-DA) models with excellent parameters (volatile, R2Y = 0.999 and Q2 = 0.996; non-volatile, R2Y = 0.992 and Q2 = 0.972) were established. A total of 80 key differential volatile compounds were identified with the double selection criterion of variable importance in projection (VIP) greater than 1 and p < 0.05. Among these, 43 compounds with OAV > 1 were further identified as the odor-active compounds in all three grades of Tuo. Moreover, 22 key non-volatile compounds that contribute to the quality differences have been screened out. This investigation implied that the volatile and non-volatile compounds of Tuo tea could serve as indicators of its quality. The results provided a new approach to distinguish the grades of Tuo tea.
The Effect of Carboxymethyl Cellulose Sodium on the Proofing Tolerance and Quality of Frozen Dough Steamed Bread
Authors: Liu Si-Fan , Zhu Ke-Xue , Guo Xiao-Na
Published: March 2024

This study investigated the effects of dough proofing degree (1.1, 1.3, 1.5, and 1.7 mL/g) and carboxymethyl cellulose sodium (CMC-Na) on the quality of frozen dough steamed bread (FDSB). As the dough proofing degree was increased from 1.1 to 1.7 mL/g, the specific volume of FDSB initially increased and then decreased, with the maximum at 1.3 mL/g, and then dramatically decreased at 1.5 and 1.7 mL/g, accompanied by a harder texture and secession of crust and crumb, which were the detrimental effects brought by over-proofing. The optimal amount of CMC-Na effectively alleviated the deterioration associated with over-proofing, and the proofing tolerance of FDSB was increased from 1.3 mL/g to 1.7 mL/g. Fermentation analysis showed that CMC-Na significantly improved the extensibility and gas-holding capacity of the dough by increasing the maximum height of the dough (Hm) and the emergence time (T1) of Hm. Frequency sweep tests indicated that CMC-Na improved the plasticity of proofed dough by increasing loss factor tan δ. Significant reductions were found in peak viscosity and complex modulus G* in pasting properties tests and temperature sweep measurements, respectively, suggesting that CMC-Na influenced starch gelatinization and dough stiffening during steaming, which promoted the extension of the network structure, thus facilitating gas expansion and diffusion. These property changes theoretically explained the improvement in the proofing tolerance of FDSB by CMC-Na.
A Stochastic Frontier Approach to Study the Relationship between the Hygienic Quality of Bulk Tank Sheep Milk and Technical Efficiency of the Coagulation Process
Authors: Jiménez Lorena , Perea José M. , Caballero-Villalobos Javier , Angón Elena , Cecchinato Alessio , Amalfitano Nicolò , Oliete Bonastre , Arias Ramón
Published: March 2024

Sheep milk from local breeds is important for the production of high-quality cheeses throughout the Mediterranean region, such as Manchego cheese in Spain. To maintain sustainable and efficient production, it is necessary to reach a better understanding of how the composition and hygiene of the milk affect the coagulation process, with the aim of optimizing production yield. This study implemented a stochastic production frontier function to estimate the potential production of curd and efficiency using data from the four seasons of a study of 77 Manchega sheep farms. The Cobb–Douglas production frontier model was estimated using the maximum likelihood estimation method. The results showed that the content of protein, lactose, and fat exhibited increasing returns to scale, with protein content being the most significant factor for curd production. Approximately half of the inefficiency was due to factors related to the technological properties and the hygiene of the milk. The pH, curd firmness, and concentration of lactic acid bacteria improved the efficiency of coagulation, while the concentration of spores of lactate-fermenting Clostridium spp., Pseudomonas spp., staphylococci, and catalase-negative gram-positive cocci favored the inefficiency of the coagulation process. To date, this is the first study to evaluate the effect of different factors, such as microbial groups, milk composition, and technological properties, on the efficiency of the coagulation process in dairy sheep.
An α-Robust Galerkin Spectral Method for the Nonlinear Distributed-Order Time-Fractional Diffusion Equations with Initial Singularity
Authors: Liu Haiyu , Lü Shujuan
Published: March 2024

In this paper, we numerically solve the nonlinear time-fractional diffusion equation of distributed order on an unbounded domain with a weak singularity. A fully discrete implicit scheme is developed based on the L1 formula on graded meshes in time and the Galerkin spectral method using the Laguerre function in space. We obtained an α-robust discrete Gronwall inequality and the a priori error estimation of the numerical solution. Then, the existence and uniqueness of the numerical solution are discussed. Next, we present the α-robust stability and convergence of the fully discrete scheme, where the convergence was obtained based on the regularity conditions of the exact solution. A numerical example demonstrates the validity of the theoretical results.
The Backgrounds of Renaissance Paintings in the Ancient Duchy of Urbino (Central Italy): Exploring New Forms of Valorization of Geoheritage through Their Inclusion in UNESCO Cultural Landscapes
Authors: Nesci Olivia , Borchia Rosetta , Valentini Laura
Published: March 2024

The ancient Duchy of Urbino (Marche and Emilia-Romagna Regions, Italy) is known for its spectacular landscapes linked to a unique geological history. This area owns an unexpected cultural resource, which concerns using its landscapes in art. Some great Renaissance artists, including Piero della Francesca, Raphael, and Leonardo, were so impressed by the landscapes that they reproduced them in their most famous paintings. This paper summarizes research concerned with their identification, employing a multidisciplinary method that has enabled the recognition of many morphologies. This contribution provides the scientific community with information on the methodology and regional and national projects developed in this area to enhance its cultural landscapes. Starting from the geological description of the territory, the research focuses on famous works by three great Renaissance artists, providing evidence and morphological details related to the recognition of places: “Nativity” by Piero della Francesca, “Madonna Litta” by Leonardo da Vinci, and “Knight’s Dream” by Raphael. Finally, it is proposed to make these landscapes a timeless resource through their inclusion in UNESCO’s cultural heritage. This contribution is addressed to representatives of the administration, conservation, and enhancement of artistic and landscape heritage to stimulate new perspectives for research, education, and tourism within the cultural heritage of this area.
Characterizing Dissolved Organic Matter and Other Water-Soluble Compounds in Ground Ice of the Russian Arctic: A Focus on Ground Ice Classification within the Carbon Cycle Context
Authors: Semenov Petr , Pismeniuk Anfisa , Kil Anna , Shatrova Elizaveta , Belova Natalia , Gromov Petr , Malyshev Sergei , He Wei , Lodochnikova Anastasiia , Tarasevich Ilya , Streletskaya Irina , Leibman Marina
Published: March 2024

Climate-induced changes contribute to the thawing of ice-rich permafrost in the Arctic, which leads to the release of large amounts of organic carbon into the atmosphere in the form of greenhouse gases, mainly carbon dioxide and methane. Ground ice constitutes a considerable volume of the cryogenically sequestered labile dissolved organic carbon (DOC) subjected to fast mineralization upon thawing. In this work, we collected a unique geochemical database of the ground and glacier ice comprising the samples from various geographic locations in the Russian Arctic characterized by a variety of key parameters, including ion composition, carbon-bearing gases (methane and carbon dioxide), bulk biogeochemical indicators, and fluorescent dissolved organic matter (DOM) fractions. Our results show that interaction with solid material—such as sediments, detritus, and vegetation—is likely the overriding process in enrichment of the ground ice in all the dissolved compounds. Terrigenous humic-like dissolved organic matter was predominant in all the analyzed ice samples except for glacier ice from Bolshevik Island (the Severnaya Zemlya archipelago) and pure (with low sediment content) tabular ground ice from western Yamal. The labile protein-like DOM showed no correlation to humic components and was probably linked to microbial abundance in the ground ice. The sum of the fluorophores deconvoluted by PARAFAC strongly correlates to DOC, which proves the potential of using this approach for differentiation of bulk DOC into fractions with various origins and biogeochemical behaviors. The pure tabular ground ice samples exhibit the highest rate of fresh easily degradable DOM in the bulk DOC, which may be responsible for the amplification of permafrost organic matter decomposition upon thawing.
Antiracism and Black Self-Defense in the Face of (Juridical) Catastrophe
Authors: Burgos Adam , Saucier Khalil
Published: March 2024

In this paper we analyze the relationship between antiracism and black self-defense. We draw a distinction between liberal and political black self-defense and argue that antiracism can at most sanction a juridical and individualistic notion of self-defense rather than a communal one. We argue that any and all theoretical conceptions of contestation, resistance, or revolution need to seriously grapple with the necessity of theorizing black self-defense. In doing so, we thematize antiblack violence through accounts of self-defense given by black radicals. Together, these arguments outline a perpetual conditional threat of violence against any and all black freedom projects, which in turn justifies enunciative black counterviolence.