bluuebunny/crossref_metadata_2025 huggingface dataset:
Antimicrobial Activity of Selected Essential Oils against Staphylococcus aureus from Bovine Mastitis
Authors: Munive Nuñez Karen Vanessa , Abreu Anderson Clayton da Silva , Almeida Jaqueline Milagres de , Gonçalves Juliano Leonel , Bonsaglia Érika Carolina Romão , dos Santos Marcos Veiga , Silva Nathália Cristina Cirone
Published: January 2024

Staphylococcus aureus is a major cause of subclinical mastitis in dairy cows, and its development of antibiotic resistance has limited treatment efficacy. Essential oils (EOs) are natural products with a wide range of antimicrobial properties that could be used to treat bovine mastitis. This study aims to investigate the antimicrobial activity of EOs against S. aureus isolated from subclinical bovine mastitis cases in the State of São Paulo—Brazil. A total of 14 S. aureus isolates were selected, based on the presence of biofilm-forming genes (icaA, icaD, and bap), and were cultured to a final concentration of 103 CFU.mL−1 for the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) analysis of five EOs (Citrus aurantium bergamia—bergamot, Copaifera reticulata—copaiba, Foeniculum vulgare—fennel, Zingiber officinale—ginger, and Ocimum basilicum—basil). The chemical compositions of the EOs were characterized using gas chromatography coupled with a mass-selective detector (GC/MSD). Basil and bergamot EOs exhibited the highest antimicrobial activity against S. aureus strains, with mean MIC/MBC values of 1.561 ± 0.223/2.806 ± 0.255 mg.mL−1 and 2.782 ± 0.228/4.396 ± 0.198 mg.mL−1, respectively. The primary compounds in basil EO were methyl-chavicol, linalool, and α-humulene, while bergamot EO predominantly contained linalyl acetate, limonene, and linalool. This research highlights the potential of basil and bergamot EOs as natural antimicrobial agents for treating bovine mastitis caused by S. aureus, offering a potential alternative to traditional antibiotics and contributing to animal welfare and public health. In addition, it emphasizes the need for further studies to validate the long-term effects, optimal dosages, and application methods.
Challenges in Drug and Hymenoptera Venom Hypersensitivity Diagnosis and Management in Mastocytosis
Authors: Giannetti Matthew P. , Nicoloro-SantaBarbara Jennifer , Godwin Grace , Middlesworth Julia , Espeland Andrew , Douvas Julia L. , Castells Mariana C.
Published: January 2024

Mastocytosis is a myeloproliferative neoplasm characterized by abnormal proliferation and activation of clonal mast cells typically bearing the KITD816V mutation. Symptoms manifest due to the release of bioactive mediators and the tissue infiltration by neoplastic mast cells. Mast cell activation symptoms include flushing, pruritus, urticaria, abdominal cramping, diarrhea, wheezing, neuropsychiatric symptoms, and anaphylaxis. Up to 50% of patients with mastocytosis report a history of provoked and unprovoked anaphylaxis, with Hymenoptera venom and drugs the most common culprits. NSAIDs, antibiotics, vaccines, perioperative medications, and radiocontrast media are often empirically avoided without evidence of reactions, depriving patients of needed medications and placing them at risk for unfavorable outcomes. The purpose of this review is to highlight the most common agents responsible for adverse drug reactions in patients with mastocytosis, with a review of current epidemiology, diagnosis, and management of drug hypersensitivity and Hymenoptera venom allergy.
B Cells and Double-Negative B Cells (CD27−IgD−) Are Related to Acute Pancreatitis Severity
Authors: Malheiro Filipa , Ângelo-Dias Miguel , Lopes Teresa , Azeredo-Lopes Sofia , Martins Catarina , Borrego Luis Miguel
Published: January 2024

Acute pancreatitis (AP) is an increasingly frequent disease in which inflammation plays a crucial role. Fifty patients hospitalized with AP were included and peripheral blood samples were analyzed for B and T cell subpopulations at the time of hospitalization and 48 h after diagnosis. The Bedside Index of Severity in Acute Pancreatitis (BISAP) and length of hospital stay were also recorded. A healthy control (HC) group of 15 outpatients was included. AP patients showed higher neutrophil/lymphocyte (N/L) ratios and higher percentages of B cells than the HC group. The total B cell percentages were higher in patients with moderate/severe AP than in patients with mild AP. The percentages of B cells as well as the percentages of the CD27−IgD− B cell subset decreased from admission to 48 h after admission. The patients with higher BISAP scores showed lower percentages of peripheral lymphocytes but higher percentages of CD27−IgD− B cells. Higher BISAP scores, N/L ratios, and peripheral blood B cell levels emerged as predictors of hospital stay length in AP patients. Our findings underscore the importance of early markers for disease severity. Additionally, the N/L ratio along with the BISAP score and circulating B cell levels form a robust predictive model for hospital stay duration of AP patients.
Priorities for Pan-American Geography Education: Needs and Trends
Authors: Oberle Alex , Araya Fabian , Alvarez Sandra
Published: January 2024

Geography education research in Latin America is uneven in terms of its thematic focus and country-level contributions. Research demonstrates the necessity for a region-wide prioritization of geography education themes that builds on existing scholarship and adapts to emerging needs and trends. The Pan-American Institute for Geography and History, a scholarly society, established a research team with a four-year charge of advancing geography education in the region. Titled “Geographic Literacy for the Countries of the Americas”, the initiative develops research agendas that encompass the diversity of definitions and criteria, scholarly activities, and curricular resources across countries. The purpose of this study is to follow the process of identifying geography education research priorities involving scholars representing most countries in the region; describe the priorities and activities identified by project team members; and discuss emerging long-term research agendas. The study uses a descriptive research design to describe the process in general and to specify the outcomes. Results show the prioritization of the four areas as follows: teaching geography online, teaching geography face-to-face, methodological foundations of geographic education, and connecting geography and education stakeholders. Activities and research agendas within these categories include both traditional, longstanding themes and emerging themes related to recent global crises and technological innovations.
Bidirectional Chaotic Synchronization Communication of Closed-Loop Mutually Coupled Nano-Lasers
Authors: Zhang Xueting , Mu Penghua , Guo Gang , Liu Xintian , He Pengfei
Published: January 2024

It is well known that the dynamical characteristics of nano-lasers (NLs) have been extensively studied, but there is limited research on chaotic synchronization communication. In this paper, we propose a closed-loop system of mutually coupled NLs. Firstly, the autocorrelation function is employed to evaluate the capability of the system to conceal the time-delayed signature (TDS), and then, based on this, we specifically analyze the effects of the injection strength, frequency detuning, and parameter mismatch of two NLs on the chaotic synchronization performance, as well as the bidirectional communication. The detailed studies indicate that the proposed closed-loop mutually coupled system based on NLs can achieve high-quality chaotic synchronization with a low TDS and large bandwidth. In addition, the system maintains high-quality chaotic synchronization and communication performance even under significant parameter mismatch.
Active-Matrix Array Based on Thin-Film Transistors Using Emerging Materials for Application: From Lab to Industry
Authors: Kim Seongjae , Yoo Hocheon
Published: January 2024

The active-matrix technology incorporates a transistor to exert precise control over each pixel within a pixel array, eliminating the issue of crosstalk between neighboring pixels that is prevalent in the passive-matrix approach. Consequently, the active-matrix method facilitates the realization of high-resolution arrays, and this inherent advantage has propelled its widespread adoption, not only in display applications but also in diverse sensor arrays from lab to industry. In this comprehensive review, we delve into instances of active-matrix arrays utilizing thin-film transistors (TFTs) that leverage emerging materials such as organic semiconductors, metal oxide semiconductors, two-dimensional materials, and carbon nanotubes (CNTs). Our examination encompasses a broad classification of active-matrix research into two main categories: (i) displays and (ii) sensors. We not only assess the performance of TFTs based on emerging materials within the active-matrix framework, but also explore the evolving trends and directions in active-matrix-based displays and sensors.
Unveiling the Impact: Human Exposure to Non-Ionizing Radiation in the Millimeter-Wave Band of Sixth-Generation Wireless Networks
Authors: Al-Falahy Naser , Alani Omar Y.
Published: January 2024

The investigation into potential hazards linked with millimeter-wave (mmWave) radiation is crucial, given the widespread adoption of body-centric wireless sensor nodes operating within this frequency band. This is particularly pertinent in light of its envisaged use for the upcoming 5G/6G networks and beyond. As 6G is anticipated to leverage a broad spectrum, including both sub-6 GHz and mmWave bands (30–300 GHz), concerns arise regarding increased human exposure to non-ionizing radiation (NIR). This work highlights the advantages of deploying 6G in the mmWave band, focusing on evaluating human body exposure to NIR interactions. Additionally, this research aims to address mmWave NIR exposure by introducing a Distributed Base Station (DBS) network. Utilizing low-power remote antennas to extend network coverage, the DBS architecture seeks to effectively minimize NIR’s impact without compromising overall network performance. The findings underscore the significant potential of the DBS approach in mitigating NIR-related concerns associated with mmWave utilization in 6G networks.
Design and Experiments of a Convex Curved Surface Type Grain Yield Monitoring System
Authors: Fang Yijun , Chen Zhijian , Wu Luning , Farhan Sheikh Muhammad , Zhou Maile , Yin Jianjun
Published: January 2024

Precision agriculture relies heavily on measuring grain production per unit plot, and a grain flow monitoring system performs this using a combine harvester. In response to the high cost, complex structure, and low stability of the yield monitoring system for grain combine harvesters, the objective of this research was to design a convex curved grain mass flow sensor to improve the accuracy and practicality of grain yield monitoring. In addition, it involves the development of a grain yield monitoring system based on a cut-and-flow combine harvester prototype. This research examined the real output signal of the convex curved grain mass flow sensor. Errors caused by variations in terrain were reduced by establishing the zero point of the sensor’s output. Measurement errors under different material characteristics, flow rates, and grain types were compared in indoor experiments, and the results were subsequently confirmed through field experiments. The results showed that a sensor with a cantilever beam-type elastic element and a well-constructed carrier plate may achieve a measurement error of less than 5%. After calibrating the sensor’s zero and factors, it demonstrated a measurement error of less than 5% during the operation of the combine harvester. These experimental results align with the expected results and can provide valuable technical support for the widespread adoption of impulse grain flow detection technology. In future work, the impact of factors such as vehicle vibration will be addressed, and system accuracy will be improved through structural design or adaptive filtering processing to promote the commercialization of the system.
A Novel Electricity Theft Detection Strategy Based on Dual-Time Feature Fusion and Deep Learning Methods
Authors: Huang Qinyu , Tang Zhenli , Weng Xiaofeng , He Min , Liu Fang , Yang Mingfa , Jin Tao
Published: January 2024

To enhance the accuracy of theft detection for electricity consumers, this paper introduces a novel strategy based on the fusion of the dual-time feature and deep learning methods. Initially, considering electricity-consumption features at dual temporal scales, the paper employs temporal convolutional networks (TCN) with a long short-term memory (LSTM) multi-level feature extraction module (LSTM-TCN) and deep convolutional neural network (DCNN) to parallelly extract features at these scales. Subsequently, the extracted features are coupled and input into a fully connected (FC) layer for classification, enabling the precise detection of theft users. To validate the method’s effectiveness, real electricity-consumption data from the State Grid Corporation of China (SGCC) is used for testing. The experimental results demonstrate that the proposed method achieves a remarkable detection accuracy of up to 94.7% during testing, showcasing excellent performance across various evaluation metrics. Specifically, it attained values of 0.932, 0.964, 0.948, and 0.986 for precision, recall, F1 score, and AUC, respectively. Additionally, the paper conducts a comparative analysis with mainstream theft identification approaches. In the comparison of training processes, the proposed method exhibits significant advantages in terms of identification accuracy and fitting degree. Moreover, with adjustments to the training set proportions, the proposed method shows minimal impact, indicating robustness.
Optimal Preventive Maintenance Scheduling for Wind Turbines under Condition Monitoring
Authors: Yu Quanjiang , Bangalore Pramod , Fogelström Sara , Sagitov Serik
Published: January 2024

Renewable energy sources, such as wind and solar, are positioned to play a pivotal role in future energy systems. In this paper, we propose a mathematical model for calculating and regularly updating the next preventive maintenance plan for a wind farm. Our optimization criterion considers various factors, including the current ages of key components, major maintenance costs, eventual energy production losses, and available data monitoring the condition of the wind turbines. Employing Cox proportional hazards analysis, we develop a comprehensive approach that accounts for the current ages of critical components, significant maintenance costs, potential energy production losses, and data collected from monitoring the condition of wind turbines. We illustrate the effectiveness of our approach through a case study based on data collected from multiple wind farms in Sweden. Our results demonstrate that preventive maintenance planning yields positive effects, particularly when the wind turbine components in question have significantly shorter lifespans than the turbine itself.
Adaptive Control Approach for Accurate Current Sharing and Voltage Regulation in DC Microgrid Applications
Authors: Mesbah Mohamed , Sayed Khairy , Ahmed Adel , Aref Mahmoud , Elbarbary Z. , Almuflih Ali , Mossa Mahmoud
Published: January 2024

A DC microgrid is an efficient way to combine diverse sources; conventional droop control is unable to achieve both accurate current sharing and required voltage regulation. This paper provides a new adaptive control approach for DC microgrid applications that satisfies both accurate current sharing and appropriate voltage regulation depending on the loading state. As the load increases in parallel, so do the output currents of the distributed generating units, and correct current sharing is necessary under severe load conditions. The suggested control approach raises the equivalent droop gains as the load level increases in parallel and provides accurate current sharing. The droop parameters were checked online and changed using the principal current sharing loops to reduce the variation in load current sharing, and the second loop also transferred the droop lines to eliminate DC microgrid bus voltage fluctuation in the adaptive droop controller, which is different and inventive. The proposed algorithm is tested using a variety of input voltages and load resistances. This work assesses the performance and stability of the suggested method using a linearized model and verifies the results using an acceptable model created in MATLAB/SIMULINK Software Version 9.3 and using Real-Time Simulation Fundamentals and hardware-based experimentation.
Lactic Acid Bacteria and Formic Acid Improve Fermentation Quality and Beneficial Predicted Functional Characteristics in Mixed Silage Consisting of Alfalfa and Perennial Ryegrass
Authors: Lei Yao , Li Maoya , Liu Yinghao , Wang Jiachuhan , He Xiangjiang , Zhao Yuanyuan , Chen Yulian , Cheng Qiming , Chen Chao
Published: January 2024

The purpose of the present study was to investigate the effect of additives on the fermentation properties of ensiled mixed alfalfa and perennial ryegrass silage in the karst terrain of Southwest China. A mixture of alfalfa and perennial ryegrass was ensiled at a ratio of 3:7 using three experimental treatments: (1) CK (without additives) and distilled water (5 mL kg−1 fresh weight (FW)); (2) FA and formic acid (88%) (5 mL kg−1 FW); and (3) LAB combined with the application of Lactiplantibacillus plantarum and Lentilactobacillus buchneri (2 × 107 cfu/g FW). All samples were packed manually into polyethylene bags, and three polyethylene bags from each treatment were sampled on days 7, 15, and 45. The findings demonstrated that the pH values of all the mixed silages gradually decreased during ensiling. The lactic acid (LA) and acetic acid (AA) contents increased gradually with ensiling time and peaked after 45 days of ensiling. After 45 days of ensiling, the FA and LAB groups effectively preserved the nutrient content of the mixed silage, which presented a reduced neutral detergent fiber and acid detergent fiber content (p < 0.05) and higher water-soluble carbohydrate content (p < 0.05) than the CK group. The fermentation quality of the mixed silages in the FA and LAB groups improved, as indicated by higher (p < 0.05) LA contents and lower (p < 0.05) pH and ammoniacal nitrogen contents after 45 days of ensiling compared to those in the CK group. As fermentation progressed, the abundance of harmful microorganisms (Hafnia obesumbacterium, Enterobacteriaceae, and Sphingomonas) and beneficial microorganisms (Lactiplantibacillus and Lentilactobacillus) decreased and increased, respectively. In addition, compared to those in the CK group, the FA group had higher abundances of “lipid metabolism” and “biosynthesis of antibiotics” and lower abundances of “membrane transport”. Briefly, the results of this study suggest that the incorporation of FA and LAB additives could improve the quality of fermented mixed silage, and that FA is better than LAB. This information is useful for combining forage resources to satisfy the requirements for high-protein feed and for manufacturing ruminant feed annually.
Employing Copernicus Land Service and Sentinel-2 Satellite Mission Data to Assess the Spatial Dynamics and Distribution of the Extreme Forest Fires of 2023 in Greece
Authors: Dosiou Anna , Athinelis Ioannis , Katris Efstratios , Vassalou Maria , Kyrkos Alexandros , Krassakis Pavlos , Parcharidis Issaak
Published: January 2024

In 2023, Greece faced its worst wildfire season, with nine major fires causing unprecedented environmental damage of 1470.31 km2. This article uses Copernicus Land Monitoring Service and Sentinel-2 data, employing advanced remote sensing and GIS techniques to analyze spatial dynamics, map burn severity, assess fire extent, and highlight pre-fire tree density and land cover. The study focuses on the catastrophic fire in the Evros region and the damage to the National Forest Park of Dadia–Lefkimmi–Soufli. It also analyzes significant fires in Rhodes, Attica, Thessaly, Evia, Corfu, and Magnesia, emphasizing the compounded challenges posed by terrain, climate, and human factors in those areas. Additionally, the climate data for each affected area were compared with the weather conditions prevailing at the time of the fires. Copernicus Land Cover and Tree Density data are integrated to aid future management, assessment, and restoration. The analysis of maps and fire statistics underscores a notable pattern: areas with higher pre-fire tree density experienced correspondingly higher burn severity. This research underscores the crucial role of such data in assessing wildfire impact. In addition, compared with Copernicus Emergency Management Service, the burned area maps validate the accuracy and reliability of the utilized satellite data. The total burned area was assessed with a high accuracy rate of 96.28%.
Physicochemical Quantitative Analysis of the Oil–Water Interface as Affected by the Mutual Interactions between Pea Protein Isolate and Mono- and Diglycerides
Authors: Wang Ziyan , Li Jingwen , Peng Chao , Li Bin , Shen Qian , Chen Yijie
Published: January 2024

As a commercially available ingredient, the mono- and diglycerides (MDG) were widely used in a plant protein-based emulsion to provide effective, functional, emulsifying properties. The simultaneous addition of the MDG and pea protein isolate (PPI) was investigated by the methods of interfacial rheology and quantitative protein proteomics. The physicochemical quantitative analysis of the oil–water interface revealed an interfacial stability mechanism for the protein adsorption layer. For a low MDG concentration, the interfacial quantities of vicilin and albumin were increased, which could be attributed to the adsorption rate. For a high MDG concentration, both vicilin and albumin were displaced by MDG and desorbed from the interface, while legumin was more difficult to displace due to its slow adsorption and the complex structure of protein molecules. The protein molecules with the structural rearrangement interacted with MDG, exhibiting potential effects on the interfacial film structure. Combined with some nanotechnologies, the new comprehension of protein-emulsifier interactions may promote food delivery systems. The research aims to develop an in-depth analysis of interfacial proteins, and provide more innovative and tailored functionalities for the application of the plant protein emulsion.
Microstructural Changes in Vanilla planifolia Beans after Using High-Hydrostatic-Pressure Treatment in the Curing Process
Authors: Rivero-Angeles Katia D. , Buitimea-Cantúa Génesis V. , Dávila-Ortiz Gloria , López-Villegas Edgar O. , Welti-Chanes Jorge , Escobedo-Avellaneda Zamantha , Téllez-Medina Darío I.
Published: January 2024

During vanilla bean curing, the cell arrangement derived from the killing technique applied to start bean ripening is essential to obtain the characteristic aroma and flavor of vanilla. Hence, killing is an important step to release the enzymes and compounds required for vanillin production. In this work, high hydrostatic pressure (HHP) at 100–400 MPa for 5 min, using water at 7 °C as the pressure-transmitting medium, was applied as the killing method, and its effect on the microstructural changes in vanilla beans during different curing cycles (C0–C20) was evaluated and compared with that observed after scalding by using water at 100 °C for 8 s. Microstructural changes in the cross-sectioned beans were analyzed using a stereomicroscope (SM), confocal laser scanning microscopy (CLSM), and environmental scanning electron microscopy (ESEM). The vanilla beans were cross-sectioned and three main sectors were analyzed: the total, annular, and core. The morphometric descriptors, namely, area, Feret’s diameter, and circularity, were quantified via digital image analysis (DIA), from which a shrinkage ratio was calculated. The results show that the total area in the beans presented a maximum decrease in the C16 of curing. The core area was most affected by the HHP treatment, mainly at 400 MPa, rather than scalding. CSLM observations revealed the autofluorescence of the compounds inside the beans. In conclusion, the use of microscopy techniques and DIA allowed us to determine the microstructural changes in the HHP-treated pods, which were found to be more numerous than those found in the scalded beans.
Development of Healthy Snacks Incorporating Meal from Tenebrio molitor and Alphitobius diaperinus Using 3D Printing Technology
Authors: Herdeiro Francisco Madail , Carvalho Maria Otília , Nunes Maria Cristiana , Raymundo Anabela
Published: January 2024

This study analyzes the nutritional properties of edible insects, specifically Tenebrio molitor and Alphitobius diaperinus, and explores the potential of 3D printing technology to introduce a nutritious and tasty alternative to essential nutrients for Western consumers. An original formulation for the printing of snacks with microalgae was adapted to incorporate edible insects. Concentrations of 10% of edible insects, both isolated and mixed, were incorporated into the developed ink-doughs. Stress and frequency sweeps were performed on the doughs to understand the rheology and the impact on the internal structure to better adapt these materials to the 3D printing process. The nutritional profile of the developed snacks was assessed, revealing a significant amount of protein, enough to claim the snacks as a “source of protein”, as well as an increased mineral profile, when compared to the control snack. The antioxidant profile and total phenolic content were equally assessed. Finally, a sensory analysis test was performed, comparing the control snack to three other samples containing 10% T. molitor, 10% A. diaperinus and 5% + 5% of T. molitor and A. diaperinus, respectively, resulting in a preference for the A. diaperinus and for the combination of the two insects. Considered as a “novel food”, foods incorporating edible insects represent, in fact, the reintroduction of foods used in the West before the Middle Ages, when the Judeo-Christian tradition began to consider insects as not kosher. Educating consumers about the transition to novel foods can be helped by 3D printing food, as an innovative process that can be used to design creative rich animal protein snacks that make final products more appealing and acceptable to consumers.
Discrimination/Classification of Edible Vegetable Oils from Raman Spatially Solved Fingerprints Obtained on Portable Instrumentation
Authors: Jiménez-Hernández Guillermo , Ortega-Gavilán Fidel , Bagur-González M. Gracia , González-Casado Antonio
Published: January 2024

Currently, the combination of fingerprinting methodology and environmentally friendly and economical analytical instrumentation is becoming increasingly relevant in the food sector. In this study, a highly versatile portable analyser based on Spatially Offset Raman Spectroscopy (SORS) obtained fingerprints of edible vegetable oils (sunflower and olive oils), and the capability of such fingerprints (obtained quickly, reliably and without any sample treatment) to discriminate/classify the analysed samples was evaluated. After data treatment, not only unsupervised pattern recognition techniques (as HCA and PCA), but also supervised pattern recognition techniques (such as SVM, kNN and SIMCA), showed that the main effect on discrimination/classification was associated with those regions of the Raman fingerprint related to free fatty acid content, especially oleic and linoleic acid. These facts allowed the discernment of the original raw material used in the oil’s production. In all the models established, reliable qualimetric parameters were obtained.
On the Impacts of the Global Sea Level Dynamics
Authors: Varotsos Costas , Mazei Yuri , Sarlis Nicholas V. , Saldaev Damir , Efstathiou Maria
Published: January 2024

The temporal evolution of the global mean sea level (GMSL) is investigated in the present analysis using the monthly mean values obtained from two sources: a reconstructed dataset and a satellite altimeter dataset. To this end, we use two well-known techniques, detrended fluctuation analysis (DFA) and multifractal DFA (MF-DFA), to study the scaling properties of the time series considered. The main result is that power-law long-range correlations and multifractality apply to both data sets of the global mean sea level. In addition, the analysis revealed nearly identical scaling features for both the 134-year and the last 28-year GMSL-time series, possibly suggesting that the long-range correlations stem more from natural causes. This demonstrates that the relationship between climate change and sea-level anomalies needs more extensive research in the future due to the importance of their indirect processes for ecology and conservation.
Natural Sinkhole Monitoring and Characterization: The Case of Latera Sinkhole (Latium, Central Italy)
Authors: Puzzilli Luca Maria , Ruscito Valerio , Madonna Sergio , Gentili Francesco , Ruggiero Livio , Ciotoli Giancarlo , Nisio Stefania
Published: January 2024

The occurrence of sinkhole phenomena in Italy is a prevalent and very uncertain class of geological hazards that pose a significant threat to human infrastructure and individuals. These events are characterized by their unpredictability and the challenges associated with their accurate forecasting. Both natural and anthropic factors influence the occurrence of these events; therefore, accurate identification of the above factors is critical for effective proactive and predictive efforts. The work presented in this paper refers to a collapse that occurred in a volcanic region in northern Latium (central Italy) on 31 January 2023. The area has been monitored using drones since the early stages of the sinkhole’s formation and has continued to date. Then, the collapse and the neighboring area were examined via geophysical and geochemical investigations to identify potential underlying factors. Geophysical and geochemical data were combined to provide a preliminary hypothesis on the collapse’s genesis. The obtained data indicate that the structural collapse can be attributable to the fluctuation in groundwater levels as well as the development of instabilities along its banks, leading to a growth in its dimensions.
Bleeding and Perforation Complications after Follow-Up Colonoscopies in Faecal Immunochemical Test-Based Colorectal Cancer Screening: Insights from a Retrospective Case–Control Study
Authors: Tran Thuy Ngan , Bouchat Joanna , Peeters Marc , Berghmans Bea , Van Cutsem Eric , Van Hal Guido , Van Herck Koen , Hoeck Sarah
Published: January 2024

Monitoring complications of colonoscopies after a positive faecal immunochemical test (FIT-colonoscopies) is crucial in FIT-based colorectal cancer (CRC) screening. We investigated the occurrence of bleeding and perforation post FIT-colonoscopies (2013–2019) in Flanders and the contributing factors. A retrospective case–control study was conducted, including bleeding/perforation cases within 14 days after index colonoscopy, and controls without such events. Bleeding rates dropped from 0.9–1.1% (pre-2017) to 0.3% (2017–2018) and further to 0.05% (2019), while perforation rates remained at 0.05–0.11% (2014–2019). Male gender, polypectomy, general anaesthesia, and recent antiplatelet/antithrombotic drug use increased bleeding odds. Incomplete colonoscopy, polypectomy, general anaesthesia, and recent antiplatelet/antithrombotic drug use raised perforation odds. The endoscopists (n = 16) with highest bleeding rates (top 5%) performed only 6% of total FIT-colonoscopies, yet their patients experienced 45.5% of bleeding events. Similarly, for the top 5% of perforation rates, endoscopists conducting only 4.5% of total FIT-colonoscopy had 49.0% of perforation events occur in their patients. This study sheds light on FIT-colonoscopy-related complications in Flanders, their rates and risk factors. These findings can be incorporated into CRC screening materials and guide interventions to mitigate complications. A central colonoscopy register is currently lacking in Belgium, highlighting the need for its establishment to facilitate recurrent monitoring and evaluation.
The Poetry of Recovery in Peer Support Workers with Mental Illness: An Interpretative Phenomenological Analysis
Authors: Kim Su-Yeon , Kweon Young-Ran
Published: January 2024

This study was conducted to investigate and understand various aspects related to participants’ experiences in peer support activities, with a particular focus on their personal growth and the influence of these activities on their lives. In this qualitative study, peer support workers with mental illness were the main subjects, and they were recruited from G Metropolitan City, South Korea. The study used purposive sampling, guided by recommendations from peer support worker support organizations. A total of five participants were selected using purposive sampling to ensure maximum variability in the sample. Data collection involved semi-structured individual interviews, and data analysis was conducted using the interpretative phenomenological analysis (IPA) method. Following the IPA procedure for data analysis, the study revealed six themes that encapsulated the recovery experiences of peer support workers with mental illness: (1) Facing confusion and challenges, (2) Rising and refining myself, (3) Navigating the paths of relationships, (4) Gazing at the desired horizons, (5) Awakening the inner hero, and (6) Standing as a person who cherishes life. This research underscores the positive impact of peer support activities on individuals who have faced mental health challenges. It emphasizes the significance of self-discovery, the development of supportive relationships, and the aspiration for a brighter future. These findings contribute to the expanding body of knowledge regarding the benefits of peer support in the context of mental health recovery.
The Relationship between Gamified Physical Exercise and Mental Health in Adolescence: An Example of Open Innovation in Gamified Learning
Authors: Pérez-Jorge David , Martínez-Murciano María Carmen , Contreras-Madrid Ana Isabel , Alonso-Rodríguez Isabel
Published: January 2024

Interest in gamified physical activity has been driven by its potential to benefit student mental health. Integrating gamified practices for mental health improvement represents a significant innovation within multidisciplinary approaches to enhancing mental well-being. This review follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and was conducted using the Scopus and Web of Science (WOS) databases, primary sources for education-related studies. Thirteen papers were analyzed, yielding important insights into the relationship between gamified physical activity and mental health. The findings indicate that gamified physical activity positively influences adolescents’ mental health and well-being. Additionally, there is a need for improved application and game design to enhance learning within school contexts. Tailoring exergames to fit specific disciplines and school-related characteristics can promote healthier mobile application usage and offer significant benefits for the mental health of young individuals. The difference between this study and previous ones is that it focuses on mobile applications for encouraging active living to improve quality of life and mental health.
Effect of a Financial Education and Coaching Program for Low-Income, Single Mother Households on Child Health Outcomes
Authors: Fuji Kevin T. , White Nicole D. , Packard Kathleen A. , Kalkowski Julie C. , Walters Ryan W.
Published: January 2024

The financial difficulties of parents have a negative impact on the health of their children. This problem is more pronounced in single mother families. There is limited research on low-income, single mothers and how interventions to help them address financial difficulties may also benefit their children. The purpose of this study was to evaluate the effect of a year-long financial education and coaching program on school absenteeism and health care utilization of children in employed, low-income, single mother households. This was a post hoc analysis of the Finances First study, a randomized controlled trial conducted in 2017–2020 examining the impact of a financial coaching and education program on economic stability and health outcomes in 345 low-income, single mothers. Either generalized estimating equations (GEEs) or generalized linear mixed models (GLMMs) were used to account for relationships between participants. For the continuous outcomes of child absenteeism, physician visits, emergency room visits, and hospitalization days, a linear mixed-effects model was used. The Finances First study demonstrated improvements in various financial strain measures. Compared to the control group, children of intervention group participants experienced 1 fewer day of school absence (p = 0.049) and 1 fewer physician visit (p = 0.032) per year, but no impact was seen on emergency room visits (p = 0.55) or hospitalizations (p = 0.92). Addressing social determinants of health in parents is necessary for improving child health outcomes.
Tailoring the Structural and Optical Properties of Cerium Oxide Nanoparticles Prepared by an Ecofriendly Green Route Using Plant Extracts
Authors: Fifere Nicusor , Ardeleanu Rodinel , Doroftei Florica , Dobromir Marius , Airinei Anton
Published: January 2024

The present study explores an environmentally friendly green approach to obtain cerium oxide nanoparticles via a biomediated route using Mellisa officinalis and Hypericum perforatum plant extracts as reducing agents. The as-prepared nanoparticles were studied for their structural and morphological characteristics using XRD diffractometry, scanning electron microscopy, Raman, fluorescence and electronic absorption spectra, and X-ray photoelectron spectroscopy (XPS). The XRD pattern has shown the centered fluorite crystal structure of cerium oxide nanoparticles with average crystallite size below 10 nm. These observations were in agreement with the STEM data. The cubic fluorite structure of the cerium oxide nanoparticles was confirmed by the vibrational mode around 462 cm−1 due to the Ce-08 unit. The optical band gap was estimated from UV-Vis reflectance spectra, which was found to decrease from 3.24 eV to 2.98 eV. A higher specific area was determined for the sample using M. officinalis aqueous extract. The EDX data indicated that only cerium and oxygen are present in the green synthesized nanoparticles.
Cortistatin as a Novel Multimodal Therapy for the Treatment of Parkinson’s Disease
Authors: Serrano-Martínez Ignacio , Pedreño Marta , Castillo-González Julia , Ferraz-de-Paula Viviane , Vargas-Rodríguez Pablo , Forte-Lago Irene , Caro Marta , Campos-Salinas Jenny , Villadiego Javier , Peñalver Pablo , Morales Juan Carlos , Delgado Mario , González-Rey Elena
Published: January 2024

Parkinson’s disease (PD) is a complex disorder characterized by the impairment of the dopaminergic nigrostriatal system. PD has duplicated its global burden in the last few years, becoming the leading neurological disability worldwide. Therefore, there is an urgent need to develop innovative approaches that target multifactorial underlying causes to potentially prevent or limit disease progression. Accumulating evidence suggests that neuroinflammatory responses may play a pivotal role in the neurodegenerative processes that occur during the development of PD. Cortistatin is a neuropeptide that has shown potent anti-inflammatory and immunoregulatory effects in preclinical models of autoimmune and neuroinflammatory disorders. The goal of this study was to explore the therapeutic potential of cortistatin in a well-established preclinical mouse model of PD induced by acute exposure to the neurotoxin 1-methil-4-phenyl1-1,2,3,6-tetrahydropyridine (MPTP). We observed that treatment with cortistatin mitigated the MPTP-induced loss of dopaminergic neurons in the substantia nigra and their connections to the striatum. Consequently, cortistatin administration improved the locomotor activity of animals intoxicated with MPTP. In addition, cortistatin diminished the presence and activation of glial cells in the affected brain regions of MPTP-treated mice, reduced the production of immune mediators, and promoted the expression of neurotrophic factors in the striatum. In an in vitro model of PD, treatment with cortistatin also demonstrated a reduction in the cell death of dopaminergic neurons that were exposed to the neurotoxin. Taken together, these findings suggest that cortistatin could emerge as a promising new therapeutic agent that combines anti-inflammatory and neuroprotective properties to regulate the progression of PD at multiple levels.
The Antioxidant Properties of Glucosinolates in Cardiac Cells Are Independent of H2S Signaling
Authors: Harvey Félix , Aromokunola Boluwaji , Montaut Sabine , Yang Guangdong
Published: January 2024

The organic sulfur-containing compounds glucosinolates (GSLs) and the novel gasotransmitter H2S are known to have cardioprotective effects. This study investigated the antioxidant effects and H2S-releasing potential of three GSLs ((3E)-4-(methylsulfanyl)but-3-enyl GSL or glucoraphasatin, 4-hydroxybenzyl GSL or glucosinalbin, and (RS)-6-(methylsulfinyl)hexyl GSL or glucohesperin) in rat cardiac cells. It was found that all three GSLs had no effect on cardiac cell viability but were able to protect against H2O2-induced oxidative stress and cell death. NaHS, a H2S donor, also protected the cells from H2O2-stimulated oxidative stress and cell death. The GSLs alone or mixed with cysteine, N-acetylcysteine, glutathione, H2O2, iron and pyridoxal-5′-phosphate, or mouse liver lysates did not induce H2S release. The addition of GSLs also did not alter endogenous H2S levels in cardiac cells. H2O2 significantly induced cysteine oxidation in the cystathionine gamma-lyase (CSE) protein and inhibited the H2S production rate. In conclusion, this study found that the three tested GSLs protect cardiomyocytes from oxidative stress and cell death but independently of H2S signaling.
Contribution to a Sustainable Society: Biosorption of Precious Metals Using the Microalga Galdieria
Authors: Adams Eri , Maeda Kazuki , Kamemoto Yuki , Hirai Kazuho , Apdila Egi Tritya
Published: January 2024

The red microalga Galdieria sp. is an extremophile that inhabits acidic hot sulphur springs and grows heterotrophically to a high cell density. These characteristics make Galdieria suitable for commercial applications as stable mass production is the key to success in the algae business. Galdieria has great potential as a precious metal adsorbent to provide a sustainable, efficient and environmentally benign method for urban mining and artisanal small-scale gold mining. The efficiency and selectivity in capturing precious metals, gold and palladium from metal solutions by a Galdieria-derived adsorbent was assessed relative to commercially used adsorbents, ion exchange resin and activated charcoal. As it is only the surface of Galdieria cells that affect metal adsorption, the cell content was analysed to determine the manner of utilisation of those metabolites. Galdieria was shown to be protein-rich and contain beneficial metabolites, the levels of which could shift depending on the growth conditions. Separating the cell content from the adsorbent could improve the adsorption efficiency and reduce CO2 emissions during the metal collection process. The commercial applications of Galdieria appear promising: growth is quick and dense; the precious metal adsorption capacity is highly efficient and selective in acidic conditions, especially at low metal concentrations; and the cell content is nutrient-rich.
Stress Physiology and Molecular Biology of Fruit Crops
Authors: Yang Lin-Tong , Chen Li-Song
Published: January 2024

Fruit crops provide various kinds of fruit commodities that are of significant nutritional benefit and economic value to humans [...]
Gene Expression Profiling of Post Mortem Midbrain of Parkinson’s Disease Patients and Healthy Controls
Authors: Salemi Michele , Ravo Maria , Lanza Giuseppe , Schillaci Francesca A. , Ventola Giovanna Maria , Marchese Giovanna , Salluzzo Maria Grazia , Cappelletti Graziella , Ferri Raffaele
Published: January 2024

Parkinson’s disease (PD) stands as the most prevalent degenerative movement disorder, marked by the degeneration of dopaminergic neurons in the substantia nigra of the midbrain. In this study, we conducted a transcriptome analysis utilizing post mortem mRNA extracted from the substantia nigra of both PD patients and healthy control (CTRL) individuals. Specifically, we acquired eight samples from individuals with PD and six samples from CTRL individuals, with no discernible pathology detected in the latter group. RNA sequencing was conducted using the TapeStation 4200 system from Agilent Technologies. A total of 16,148 transcripts were identified, with 92 mRNAs displaying differential expression between the PD and control groups. Specifically, 33 mRNAs were significantly up-regulated, while 59 mRNAs were down-regulated in PD compared to the controls. The identification of statistically significant signaling pathways, with an adjusted p-value threshold of 0.05, unveiled noteworthy insights. Specifically, the enriched categories included cardiac muscle contraction (involving genes such as ATPase Na+/K+ transporting subunit beta 2 (ATP1B2), solute carrier family 8 member A1 (SLC8A1), and cytochrome c oxidase subunit II (COX2)), GABAergic synapse (involving GABA type A receptor-associated protein-like 1 (GABARAPL1), G protein subunit beta 5 (GNB5), and solute carrier family 38 member 2 (SLC38A2), autophagy (involving GABARAPL1 and tumor protein p53-inducible nuclear protein 2 (TP53INP2)), and Fc gamma receptor (FcγR) mediated phagocytosis (involving amphiphysin (AMPH)). These findings uncover new pathophysiological dimensions underlying PD, implicating genes associated with heart muscle contraction. This knowledge enhances diagnostic accuracy and contributes to the advancement of targeted therapies.
Modification of AgNP-Decorated PET: A Promising Strategy for Preparation of AgNP-Filled Nuclear Pores in Polymer Membranes
Authors: Siegel Jakub , Grossberger Daniel , Pryjmaková Jana , Šlouf Miroslav , Malinský Petr , Ceccio Giovanni , Vacík Jiří
Published: January 2024

Polymer-based membranes represent an irreplaceable group of materials that can be applied in a wide range of key industrial areas, from packaging to high-end technologies. Increased selectivity to transport properties or the possibility of controlling membrane permeability by external stimuli represents a key issue in current material research. In this work, we present an unconventional approach with the introduction of silver nanoparticles (AgNPs) into membrane pores, by immobilising them onto the surface of polyethyleneterephthalate (PET) foil with subsequent physical modification by means of laser and plasma radiation prior to membrane preparation. Our results showed that the surface characteristics of AgNP-decorated PET (surface morphology, AgNP content, and depth profile) affected the distribution and concentration of AgNPs in subsequent ion-track membranes. We believe that the presented approach affecting the redistribution of AgNPs in the polymer volume may open up new possibilities for the preparation of metal nanoparticle-filled polymeric membranes. The presence of AgNPs on the pore walls can facilitate the grafting of stimuli-responsive molecules onto these active sites and may contribute to the development of intelligent membranes with controllable transport properties.