bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Irrigation Mist and CO2 vs. Direct CO2 Blower in On-Pump Coronary Artery Bypass Grafting Anastomosis: Efficacy, Efficiency, and Fibrillation upon De-Clamping and Micro-Embolic Gas Activity Incidence
Authors: Condello Ignazio , Speziale Giuseppe , Fiore Flavio , Nasso Giuseppe
Published: December 2024

Background and Objectives: In coronary artery bypass grafting (CABG) on pump, achieving optimal visualization is critical for surgical precision and safety. The use of blowers to clear the CABG anastomosis poses risks, including the formation of micro-embolic gas bubbles, which can be insidious and increase the risk of cerebral or myocardial complications. This retrospective study compares the effectiveness of the use of irrigation mist and CO2 versus a direct CO2 blower without irrigation in terms of visualization, postoperative fibrillation, and micro-embolic gas activity. Materials and Methods: The study involved 40 patients who underwent on-pump CABG, with 20 patients assigned to the irrigation mist and CO2 group (ClearView™) and 20 to the direct CO2 blower group. Primary outcomes included the quality of intraoperative visualization, the incidence of fibrillation at aortic de-clamping, and the presence of micro-embolic gas activity detected via transesophageal echocardiography (TEE) in the cardiac chambers. Results: Patients in the irrigation mist and CO2 group experienced superior visualization and reduced tissue desiccation. Fibrillation at the time of aortic de-clamping occurred in two patients (10%) using the irrigation mist and CO2, compared to eight patients (40%) using the direct CO2 blower. Additionally, TEE monitoring revealed lower levels of micro-embolic gas activity in the irrigation mist and CO2 group, indicating a potential reduction in gas embolization risk. Conclusions: The irrigation mist and CO2 system not only provides enhanced visualization during CABG but also significantly reduces the incidence of fibrillation during aortic de-clamping and micro-embolic gas activity. These findings suggest improved patient safety and outcomes, highlighting the irrigation mist and CO2 system as a potentially safer alternative to direct CO2 blowing in the context of myocardial revascularization.
Untargeted Metabolomics Reveals Dysregulation of Glycine- and Serine-Coupled Metabolic Pathways in an ALDH1L1-Dependent Manner In Vivo
Authors: Fu Grace , Molina Sabrina , Krupenko Sergey A. , Sumner Susan , Rushing Blake R.
Published: December 2024

Background: ALDH1L1 plays a crucial role in folate metabolism, regulating the flow of one-carbon groups through the conversion of 10-formyltetrahydrofolate to tetrahydrofolate and CO2 in a NADP+-dependent reaction. The downregulation of ALDH1L1 promotes malignant tumor growth, and silencing of ALDH1L1 is commonly observed in many cancers. In a previous study, Aldh1l1 knockout (KO) mice were found to have an altered liver metabotype, including significant alterations in glycine and serine. Serine and glycine play crucial roles in pathways linked to cancer initiation and progression, including one-carbon metabolism. Objective/Methods: To further investigate the metabolic role of ALDH1L1, an untargeted metabolomic analysis was conducted on the liver and plasma of both KO and wild-type (WT) male and female mice. Since ALDH1L1 affects glycine- and serine-coupled metabolites and metabolic pathways, correlation analyses between liver glycine and serine with other liver or plasma metabolites were performed for both WT and KO mice. Significantly correlated metabolites were input into MetaboAnalyst 5.0 for pathway analysis to uncover metabolic pathways coupled with serine and glycine in the presence or absence of ALDH1L1 expression. Results: This analysis showed substantial alterations in pathways associated with glycine and serine following ALDH1L1 loss, including the amino acid metabolism, antioxidant pathways, fatty acid oxidation, and vitamin B5 metabolism. These results indicate the glycine- and serine-linked metabolic reprogramming following ALDH1L1 loss to support macromolecule biosynthesis and antioxidant defense. Additional research is required to further explore the correlation between specific alterations in these pathways and tumor growth, as well as to identify potential dietary interventions to mitigate the detrimental effects of ALDH1L1 loss.
Metagenomic Insight into the Associated Microbiome in Plasmodia of Myxomycetes
Authors: Peng Xueyan , Li Shu , Dou Wenjun , Li Mingxin , Gontcharov Andrey A. , Peng Zhanwu , Qi Bao , Wang Qi , Li Yu
Published: December 2024

During the trophic period of myxomycetes, the plasmodia of myxomycetes can perform crawling feeding and phagocytosis of bacteria, fungi, and organic matter. Culture-based studies have suggested that plasmodia are associated with one or several species of bacteria; however, by amplicon sequencing, it was shown that up to 31–52 bacteria species could be detected in one myxomycete, suggesting that the bacterial diversity associated with myxomycetes was likely to be underestimated. To fill this gap and characterize myxomycetes’ microbiota and functional traits, the diversity and functional characteristics of microbiota associated with the plasmodia of six myxomycetes species were investigated by metagenomic sequencing. The results indicate that the plasmodia harbored diverse microbial communities, including eukaryotes, viruses, archaea, and the dominant bacteria. The associated microbiomes represented more than 22.27% of the plasmodia genome, suggesting that these microbes may not merely be parasitic or present as food but rather may play functional roles within the plasmodium. The six myxomycetes contained similar bacteria, but the bacteria community compositions in each myxomycete were species-specific. Functional analysis revealed a highly conserved microbial functional profile across the six plasmodia, suggesting they may serve a specific function for the myxomycetes. While the host-specific selection may shape the microbial community compositions within plasmodia, functional redundancy ensures functional stability across different myxomycetes.
Multidrug-Resistant Klebsiella pneumoniae Strains in a Hospital: Phylogenetic Analysis to Investigate Local Epidemiology
Authors: Ristori Maria Vittoria , Scarpa Fabio , Sanna Daria , Casu Marco , Petrosillo Nicola , Longo Umile Giuseppe , Lucia De Florio , Spoto Silvia , Chiantia Rosa Maria , Caserta Alessandro , Vescio Raffaella Rosy , Davini Flavio , Bani Lucrezia , Riva Elisabetta , Ciccozzi Massimo , Angeletti Silvia
Published: December 2024

Multidrug-resistant Klebsiella pneumoniae is a significant healthcare challenge that particularly affects vulnerable patients through opportunistic nosocomial infections. Surveillance is crucial for monitoring the prevalence of these infections. Eighty-four KPC K. pneumoniae strains (2019–2022) were collected from patients admitted in Fondazione Policlinico Universitario Campus Bio-Medico. Strains were identified by MALDI-TOF and tested for antimicrobial susceptibility, and gene amplification was performed to identify the different blaKPC variants. Phylogenetic reconstructions were carried out using Bayesian methods. Additionally, to create a Bayesian skyline plot (BSP), additional analyses were conducted, running a simulation of 100 million generations under a Bayesian skyline model along with the uncorrelated log-normal relaxed clock model. To identify potential subgroups within genetic clusters and evaluate genetic variability among sequences, principal coordinate analysis (PCoA) was performed. In total, 84 Klebsiella pneumoniae isolates were classified as multidrug-resistant (MDR), characterized by resistance to three or more antibiotic classes, including carbapenems, and testing positive for KPC gene presence, and were included in the study. The Bayesian evolutionary tree for K. pneumoniae showed strongly supported branches but no genetic structure related to sampling dates or hospital departments. Phylogenetic analysis revealing a 73-year evolutionary span of K. pneumoniae strains. PCoA analysis identified three genetic outliers from 2022 and one from 2021, indicating higher genetic distances. The Bayesian skyline plot revealed increased genetic variability peaking at the end of 2019, followed by stabilization from early 2020 onward, with no significant changes in genetic variability thereafter. Overall, the study found no genetic structure correlating with sampling date or hospital department, suggesting significant variability in pathogen introduction during the pandemic. The increase in multidrug-resistant K. pneumoniae was linked to the influx of severe COVID-19 cases, prolonged hospitalizations, and heightened broad-spectrum antibiotic use, which likely facilitated resistance development and transmission amidst altered infection control practices.
The Gut Microbiota Is Involved in the Regulation of Cognitive Flexibility in Adolescent BALB/c Mice Exposed to Chronic Physical Stress and a High-Fat Diet
Authors: González Cristian Yuriana , Estrada José Antonio , Oros-Pantoja Rigoberto , Colín-Ferreyra María del Carmen , Benitez-Arciniega Alejandra Donaji , Soto Piña Alexandra Estela , Aguirre-Garrido José Félix
Published: December 2024

Dysfunction in the prefrontal cortex can lead to cognitive inflexibility due to multifactorial causes as included cardiometabolic disorders, stress, inadequate diets, as well as an imbalance of the gut–brain axis microbiota. However, these risk factors have not been evaluated jointly. The purpose of this study was to evaluate the effect of physical stress (MS: Male Stress and FS: Female Stress) and high-fat diet (MD: Male Diet and FD: Female Diet) supplementation on the gut microbiota and cognitive flexibility. Methods: The study was performed on 47 mice, 30 male (M) and 17 female (F) BALBc, exposed to chronic stress physical (S) and high-fat diet (D). Cognitive flexibility was evaluated using the Attentional Set-Shifting Test (ASST) and the gut microbiota composition in terms of relative abundance (%) and alpha–beta diversity. Results: Results showed that S and D reduced cognitive flexibility in male and female mice (p < 0.0001). Significant changes occurred in Alistipes spp. (MM vs. MS:MD; p < 0.0001), Barnesiella spp. (FC vs. FS; p = 0.0002; FC vs. FD, p = 0.0033); Dorea spp. (MC vs. MD, p = 0.0008; MM vs. MD, p < 0.0001) and Lactobacillus spp. (MC vs. MD and FM vs. FS, p < 0.0001; FM vs. MD, p = 0.0393) genera among groups. Predictive functional analysis (QIIME2 and PICRUSt2) showed a significant increase in the expression of histidine kinase, alanine dehydrogenase, glutamine synthase, glutamate synthase, arginine succinyl synthase, and tryptophan synthase genes (p < 0.05), the latter being a precursor of serotonin (5-HT). Conclusions: Chronic physical stress and a high-fat diet modify cognitive flexibility and the composition and predictive function of the gut microbiota.
Electrochemical Method for the Design of New Possible Gadolinium-Based Contrast Agents
Authors: Carbone Claudia , Stoeckle Aaron , Minardi Manuel , Uggeri Fulvio , Lattuada Luciano , Minguzzi Alessandro , Vertova Alberto
Published: December 2024

Magnetic resonance imaging (MRI) is a technique that employs strong magnetic fields and radio frequencies to generate detailed images of the body’s interior. In oncology patients, gadolinium-based contrast agents (GBCAs) are frequently administered to enhance the visualization of tumors. Those contrast agents are gadolinium chelates, characterized by high stability that prevents the release of the toxic gadolinium ion into the body. This work is part of the research for alternative nanoscaled GBCAs. Following the synthesis and characterization of zinc hexacyanoferrate nanoparticles, gadolinium ions were successfully incorporated into a hexacyanoferrate-based matrix, deposited on FTO-coated glass used as working electrode in a gadolinium salt solution, by applying a fixed potential determined through cyclic voltammetry studies. The presence of gadolinium inside the matrix was confirmed by EDX.
Novel Self-Healing Superhydrophobic Coating with Oil–Water Separation and Anti-Icing Properties
Authors: Wang Xiuge , Tang Lulu , Fan Shumin , Fan Wenxiu
Published: December 2024

A self-healing superhydrophobic coating was successfully prepared in the present work. The coating comprised PEG (polyethylene glycol) and Fe3O4 nanoparticles modified with stearic acid (SA) via hydrogen bonds, using polyamide resin and epoxy as binders. The chemically damaged surface could restore its original superhydrophobic structure and chemical composition after 4 h at room temperature or 10 min of heating in an oven with a self-healing efficiency of 95.5% and 96.1%, respectively. The hydrogen bonds between SA-OH and Fe3O4-OH nanoparticles enabled the repeatable and efficient self-healing properties of the superhydrophobic coating. The coating exhibited remarkable chemical resistance, maintaining superhydrophobicity even after 48 h of immersion in strong acidic and alkaline solutions. Additionally, the prepared fabric showed excellent mechanical stability after 2400 mm of abrasion and 125 cycles of tape peeling with a WCA above 150°. Furthermore, the coated fabric was effective for oil/water separation and anti-icing. With these powerful functions, the proposed superhydrophobic coating holds promising applications in both daily life and industry.
Characterization of Tick-Borne Encephalitis Virus Isolates from Ixodes persulcatus Ticks Collected During 2020 in Selenge, Mongolia
Authors: Boldbaatar Bazartseren , Cleary Nora G. , Paoli Julia E. , Lee Dong-Wook , Altantogtokh Doniddemberel , Matulis Graham A. , Cote Noel , Fiorenzano Jodi , Etobayeva Irina V. , Kwon Jung-Hoon , Mavian Carla , Letizia Andrew G. , von Fricken Michael E.
Published: December 2024

Tick-borne encephalitis virus (TBEV) causes neurological disease in humans, with varied clinical severity influenced by the viral subtype. TBEV is endemic to Mongolia, where both Siberian and Far-Eastern subtypes are present. Ixodes persulcatus is considered the main vector of TBEV in Mongolia; although, the virus has also been detected in Dermacentor species. To further characterize the disease ecology of TBEV within the endemic Selenge province of Mongolia, 1300 Ixodes persulcatus ticks were collected in May 2020 from regions outside Ulaanbaatar. Pooled tick samples (n = 20–50) were homogenized and the supernatant was inoculated into Vero cells. Two RT-PCR assays were conducted on the cell supernatant following an observed cytopathic effect: one for TBEV detection and the second for viral subtyping. Lysed cell cultures were processed for next-generation sequencing (NGS) using Illumina technology. TBEV was detected in 10.7% of tick pools (3/28), and isolates were identified as the Siberian subtype. Phylogenetic analysis showed PQ479142 clustering within the Siberian subtype and sharing high similarity with published isolates collected in Selenge in 2012 from Ixodes persulcatus. Subtype analysis of circulating TBEV isolates and sequencing analytics to track viral evolution in ticks are vital to continued understanding of the risk to local populations.
CRISPR/Cas9 Eye Drop HSV-1 Treatment Reduces Brain Viral Load: A Novel Application to Prevent Neuronal Damage
Authors: de Sousa Rafaela Moraes Pereira , Garcia Luiza Silveira , Lemos Felipe Simões , de Campos Viviane Souza , Machado Ferreira Erik , de Almeida Nathália Alves Araujo , Maron-Gutierrez Tatiana , de Souza Elen Mello , de Paula Vanessa Salete
Published: December 2024

Herpes simplex virus-1 (HSV-1) can invade the central nervous system (CNS). However, antiviral drugs used to treat HSV-1 have significant toxicity and resistance. An alternative approach involves the use of the CRISPR/Cas9 complex as a viral replication inhibitor. Editing the UL39 gene with CRISPR/Cas9 results in >95% inhibition of HSV-1 replication in vitro; however, few studies have investigated alternative therapies in in vivo models. This study aimed to investigate the efficacy of CRISPR/Cas9 targeting the UL39 region, which was administered via the ocular route, to reduce the HSV-1 viral count in the CNS of BALB/c mice. Mice were inoculated with HSV-1 and treated using CRISPR/Cas9. The kinetics of CNS infection were assessed, and the effects of CRISPR/Cas9 were compared with those of topical acyclovir treatments. The brain viral load was analyzed, and histopathology and immunofluorescence of the nervous tissue were performed. The group treated with CRISPR/Cas9 showed a reduced viral load on the seventh day post-infection, and no brain inflammation or chromatin compaction was observed in animals that received CRISPR/Cas9 therapy. These findings suggest that CRISPR/Cas9 anti-UL39 therapy can reduce the HSV-1 viral load in brain tissue. Therefore, investigating viral detection and evaluating antiviral treatments in the brain is essential.
Incremental Validity of ADHD Dimensions in the Predictions of Emotional Symptoms, Conduct Problems, and Peer Problems in Adolescents Based on Parent, Teacher, and Self-Ratings
Authors: Gomez Rapson , Brown Taylor
Published: December 2024

Background: The present study investigated the incremental validity of the ADHD dimensions of inattention (IA), hyperactivity (HY), and impulsivity (IM) in the predictions of emotion symptoms (ESs), conduct problems (CPs), and peer problems (PPs) in adolescents based on parent, teacher, and self- ratings. Method: A total of 214 ratings were collected from adolescents, their parents, and teachers in Australia. A structural equation modeling approach was employed to evaluated incremental validity. Results: The findings revealed that, controlling for gender, IM contributed moderate, low, and low levels of variance in predicting ESs based on parent, teacher, and self-ratings, respectively. Additionally, IM contributed moderate, substantial, and moderate levels of variance to CP predictions based on parent, teacher, and self-ratings, respectively. Furthermore, after controlling for gender, IM, and HY, parent-rated IA contributed a low level of variance to the prediction of ESs, while teacher and self-rated IA did not contribute significantly to the prediction of ESs, CPs, or PPs. Conclusions: The findings underscore the differential predictive validity of ADHD dimensions across informants and outcomes, highlighting impulsivity’s stronger association with conduct problems and emotional symptoms. These results have theoretical and practical implications for understanding ADHD-related risks in adolescence and tailoring interventions accordingly.
Objectively-Measured Sedentary Time and Self-Reported Prescription Medication Use Among Adults: A Pilot Study
Authors: Boyne Ciarra A. , Johnson Tammie M. , Toth Lindsay P. , Richardson Michael R. , Churilla James R.
Published: December 2024

While previous research has linked physical activity (PA) with lower prescription medication consumption, limited evidence has investigated sedentary time (ST) as a major contributor to medication use, despite ST’s known association with chronic disease and mortality risk, even when PA volume is considered. This study aimed to examine the independent associations between objectively measured ST, patterns of sedentary bouts, and self-reported prescription medication use among adults ≥25 years of age. Thirty-two participants reported the number and type of medications they were currently prescribed and wore an accelerometer continuously on their hip for seven days to detect their ST. Poisson regression analysis was used to assess how average daily ST, sedentary bout frequency, and sedentary bout duration influenced medication use. The results revealed a significant association between greater ST and higher medication consumption. Specifically, each additional hour of ST per day, each sedentary bout, and each one-minute increase in bout duration were linked to a 66% (PR 1.66; 95% CI 1.25–2.19; p < 0.001), 36% (PR 1.36; 95% CI 1.12–1.64; p < 0.01), and 9% (PR 1.09; 95% CI 1.03–1.16; p < 0.01) higher prevalence of prescription medications, respectively. These findings suggest that higher ST is associated with a greater prevalence of using prescription medications in adults.
A Reconstruction of Arguments on the Relationship Between Dreaming and Awakening in the Interpretations of Zhuangzi
Authors: Yang Zilu
Published: December 2024

In the interpretations of Zhuangzi, there are four levels to the relationship between dreaming and awakening: awakening is more realistic than dreaming, dreaming is more realistic than awakening, dreaming and awakening are equal, and there is no distinction between dreaming and awakening. From the view of the Chongxuan (重玄) School, 1. insisting that awakening is more realistic and cherishing life is attached to substantiality as a psychological intention to seek out a specific object; 2. insisting that dreaming is more realistic is attached to nihility as a cynical intention of desirelessness; 3. non-attachment to the distinction between dreaming and awakening as a false objectification of the mid-way (madhyamā-pratipad) is a first-order non-attachment and a new kind of self-deception to form a hidden meta-desire to transcend the two kinds of desires above; and 4. Chongxuan, as a second-order non-attachment of non-attachment, allows people to forget the distinction between dreaming and awakening. This topic has also been reflected upon or reinterpreted by ancient and modern philosophers and has a continuous impact on social reform in modern China.
Feature Papers in Photochemistry
Authors: Guzman Marcelo I.
Published: December 2024

As the Special Issues “Feature Papers in Photochemistry” and “Feature Papers in Photochemistry II” conclude, it is crucial to acknowledge the remarkable progress and persistent gaps that continue to shape the journey of photochemistry research [...]
Evaluating Self-Pollination Methods: Their Impact on Nut Set and Nutlet Abscission in Macadamia
Authors: Kaur Palakdeep , Cowan Max , De Faveri Joanne , Alam Mobashwer , Topp Bruce
Published: December 2024

Nut set is an important determinant of yield and plays a pivotal role in orchard profitability. The complex process of nut setting is governed by numerous factors, with pollination being a critical mechanism. Macadamia cultivars exhibit both self- and cross-pollination. Self-pollination may increase nut set, so it is a trait of interest in breeding. This study investigated nut setting and nutlet abscission on four cultivars, ‘HAES 791’, ‘HAES 741’, ‘HAES 344’, and ‘A16’, using three controlled self-pollination methods: (i) autogamy (AG), entailing bagging before anthesis with no hand-pollination; (ii) geitonogamy 1 (GG1), bagging following hand-pollination using pollen from the same raceme; and (iii) geitonogamy 2 (GG2), bagging following hand-pollination using pollen from different racemes of the same cultivar. These self-pollination methods were compared against open-pollination (OP). ‘HAES 741’ and ‘HAES 791’ were partially self-fertile, while ‘HAES 344’ and ‘A16’ were self-infertile. Final nut sets per raceme for ‘HAES 741’ were 0.43 by AG, 0.65 by GG1, and 0.5 by GG2, and for ‘HAES 791’, they were 0.90 by AG, 1.25 by GG1, and 1.0 by GG2. Final nut set per raceme with OP was higher compared to self-pollination methods and ranged between 3.5–6.5. In self-fertile cultivars, nut set following the three self-pollination methods accounted for 6.5–3.7% of the nut set following OP, and nutlet abscission following self-pollination methods accounted for 20–50% of nutlet abscission following OP. No significant differences in nut set and nutlet abscission were observed among AG, GG1, and GG2. Results suggest that macadamia orchards planted with self-fertile cultivars would be less reliant on external pollinators or artificial pollination to achieve adequate yields.
Unlocking the Unique Potential of Thymus pannonicus: Exploring the Efficacy of Supercritical CO2 Extraction, with and Without Pre-Treatments
Authors: Simić Siniša , Vidović Senka , Jokić Stela , Milić Nataša , Aladić Krunoslav , Maksimović Zoran , Drljača Lero Jovana , Gavarić Aleksandra
Published: December 2024

Since ancient times, many plant species within the Thymus genus have been used due to their numerous health benefits, such as antimicrobial, anti-inflammatory, antiseptic, or diuretic activity. While many of the species within this genus were well known and described, Thymus pannonicus All. or Pannonian thyme remains relatively unexplored despite its unique chemical composition and activity. T. pannonicus is a small shrub, spread over central and eastern Europe, with a diverse, location-dependent chemical composition. Within this study, the citral chemotype of T. pannonicus was used, which up to our knowledge was found and described only in Northern Serbia. Therefore, in order to explore the composition of T. pannonicus low-polar extracts and to present a preliminary insight into their bioactivity, supercritical carbon dioxide (ScCO2) extraction was applied (with and without pre-treatments), followed by GC-MS analysis. Different ScCO2 extraction pressures were tested (100, 150, 200, 250, and 300 bar) in order to determine the most suitable conditions for the extraction of T. pannonicus’s low-polar fraction. Additionally, in order to maximize the yield of the extraction, two types of ScCO2 extraction pre-treatments were investigated (enzymatic and microwave). The highest extraction yield obtained from untreated plant material was 3.01% (w/w), and it was obtained at conditions of 150 bar and 40 °C, while the 4% (v/w) enzymatic pre-treatment, with the same conditions, provided a yield of 3.89%. For all of the obtained extracts, the GC-MS analysis showed that oxygenated monoterpenes and sesquiterpenes were the two most dominant groups with principal bioactive compounds such as (E)-citral (18.95–38.17%), (Z)-citral (6.68–14.66%), β-bisabolene (8.2–14.4%), and nerol (6.08–9.67%). The extracts that exhibited the highest concentration of principal bioactive compounds ((Z)-citral, and (E)-citral) were further analyzed for anticancer potential, using short- and long-term cell viability observations on liver cancer cells.
Soil Application of Selenium in Wheat (Triticum aestivum L.) Under Water Stress Improves Grain Quality and Reduces Production Losses
Authors: Santos Leônidas Canuto dos , Martins Gabryel Silva , Benevenute Pedro Antônio Namorato , de Sousa Lima Jucelino , Santos Fernanda Ribeiro dos , Andrade Otávio Vitor Souza , de Oliveira Indira Pereira , Bispo Fábio Henrique Alves , Botelho Lívia , Rabêlo Flávio Henrique Silveira , Marchiori Paulo Eduardo Ribeiro , Guilherme Luiz Roberto Guimarães , Lopes Guilherme
Published: December 2024

Selenium (Se) is an essential element for humans. However, much of the world’s human population is deficient in this element, which has become a public health problem. This study aimed to evaluate whether applying severe water stress to wheat plants (Triticum aestivum L.) could allow Se to reduce the production losses and increase the grain quality, thereby contributing to the reduction in hidden hunger. The experiment was conducted in a randomized block design with four replications in a 5 × 2 factorial scheme, with five doses of Se (0.00, 0.25, 0.50, 1.00, and 2.00 mg dm−3) and two irrigation conditions (with and without water deficit). When sodium selenate (Na2SeO4) was applied to the soil, the grains were rich in Se. Under low doses, there was an enrichment of the grains in sulfur, iron, copper, and zinc as well as total free amino acids and total soluble proteins, and lower losses in productivity under severe water stress. Higher doses decreased the concentration of malondialdehyde (MDA) and hydrogen peroxide (H2O2), increased the catalase activity, and increased the water use efficiency (WUE). Therefore, applying Se at a dose of 0.25 mg dm−3 is effective for the biofortification of wheat grains. It enhances grain nutritional quality, increases Se bioaccessibility, and reduces production losses under water stress conditions.
Research on Modeling Method of Testability Design Based on Static Automatic Fault Tree
Authors: Zhang Jiashuo , Chen Derong , Gao Peng , Wang Zepeng , Zhang Jingang
Published: December 2024

Ensuring user safety has become increasingly essential, especially for safety-critical systems (SCSs) that are vital to human life or significant property. However, the prevailing design-for-testability (DFT) model, which relies on dependencies, overlooks safety-related faults and lacks adequate metrics for evaluating system safety. Consequently, the current dependency model is insufficient in effectively assessing system safety. To address this issue, this study has developed a comprehensive DFT model that integrates system safety considerations, known as the safety-related fault model (SRFM). SRFM uses internal block diagrams (IBDs) as a means, employs a nine-tuple model to create a static automatic fault tree, and establishes mapping relationships. Sensitivity analysis is utilized to quantify system safety factors, resulting in a safety-related dependency matrix. Two crucial concepts, design safety sensitivity (DSS) and theoretical safety sensitivity (TSS), are introduced to quantify system safety loss after a fault occurs. Additionally, two new safety-related testability metrics—test advantage of safety assessment on probability (TASAP) and test advantage of safety assessment on number (TASAN)—are developed for a robust evaluation of system safety. To validate the effectiveness of SRFM, it is applied to an electronic safety and arming device (ESA), demonstrating superior performance in TASAP and TASAN compared to existing models, with a negligible impact on expected test cost (ETC).
Finite Element Simulation of Aerosol Particle Trajectories in a Cantilever-Enhanced Photoacoustic Spectrometer for Characterization of Inertial Deposition Loss
Authors: Grahn Patrick , Kuula Joel
Published: December 2024

The cantilever-enhanced photoacoustic spectrometer is a sensitive instrument developed originally for trace gas measurements and has lately been successfully applied for measuring light-absorbing particles, such as aerosols. The finite inertia of aerosol particles can cause the particles to be deposited on the walls in the spectrometer’s flow channels, which creates a source of uncertainty for the measurement process. In this study, we characterized this inertial deposition in the spectrometer using finite element-based modeling. First, computational fluid dynamics was used to calculate the distribution of airflow within a 3D model of the spectrometer’s flow channels. Then, the trajectories of aerosol particles were computed to evaluate the inertial deposition losses. The modeling method was validated by computing inertial deposition for two known cases of laminar flow, namely particles flowing through a pipe with a 90-degree bend and a pipe with an abrupt contraction. The particle transmission of the photoacoustic spectrometer was experimentally measured. Differences and similarities between measured and modeled results are discussed. The modeled inertial deposition losses ranged from approximately 5% to 70% for particle diameters between 50 and 500 nm. This modeling approach provides valuable insight into the influence of particle size and flow rate on the inertial deposition and also pinpoints the physical location of the loss within the spectrometer, which is valuable for improving the measurement process.
Data-Driven Kinematic Model for the End-Effector Pose Control of a Manipulator Robot
Authors: Goméz-Casas Josué , Toro-Arcila Carlos A. , Rodríguez-Rosales Nelly Abigaíl , Obregón-Flores Jonathan , Ortíz-Ramos Daniela E. , Martínez-Villafañe Jesús Fernando , Gómez-Casas Oziel
Published: December 2024

This paper presents a data-driven kinematic model for the end-effector pose control applied to a variety of manipulator robots, focusing on the entire end-effector’s pose (position and orientation). The measured signals of the full pose and their computed derivatives, along with a linear combination of an estimated Jacobian matrix and a vector of joint velocities, generate a model estimation error. The Jacobian matrix is estimated using the Pseudo Jacobian Matrix (PJM) algorithm, which requires tuning only the step and weight parameters that scale the convergence of the model estimation error. The proposed control law is derived in two stages: the first one is part of an objective function minimization, and the second one is a constraint in a quasi-Lagrangian function. The control design parameters guarantee the control error convergence in a closed-loop configuration with adaptive behavior in terms of the dynamics of the estimated Jacobian matrix. The novelty of the approach lies in its ability to achieve superior tracking performance across different manipulator robots, validated through simulations. Quantitative results show that, compared to a classical inverse-kinematics approach, the proposed method achieves rapid convergence of performance indices (e.g., Root Mean Square Error (RMSE) reduced to near-zero in two cycles vs. a steady-state RMSE of 20 in the classical approach). Additionally, the proposed method minimizes joint drift, maintaining an RMSE of approximately 0.3 compared to 1.5 under the classical scheme. The control was validated by means of simulations featuring an UR5e manipulator with six Degrees of Freedom (DOF), a KUKA Youbot with eight DOF, and a KUKA Youbot Dual with thirteen DOF. The stability analysis of the closed-loop controller is demonstrated by means of the Lyapunov stability conditions.
Rate Transient Analysis for Fractured Wells in Inter-Salt Shale Oil Reservoirs Considering Threshold Pressure Gradient
Authors: Guo Xiao , Huang Ting , Gao Xian , Song Wenzhi , Hu Changpeng , Liu Jingwei
Published: December 2024

The low-velocity non-Darcy effect within the shale matrix significantly influences the well production performance of shale reservoirs, primarily caused by the threshold pressure gradient identified by various researchers. Moreover, in inter-salt shale reservoirs, salt minerals dissolve and diffuse when they encounter water-based working fluids, resulting in substantial alterations in pore structure. This paper introduces a transient pressure model for inter-salt shale oil reservoirs that accounts for oil flow from formation to the wellbore, considering all of the aforementioned mechanisms. The partial differential equations of this dual-porosity model, which incorporate salt dissolution and the low-velocity non-Darcy effect in the shale matrix, are derived. An accurate solution is achieved through the application of Laplace transformation and Green’s functions. We derive the analytical solutions for transient pressure and production in real space by employing the Stehfest numerical inversion method and obtain the bi-logarithmic type curves. Six distinct flow regimes are identified, and the impacts of salt dissolution, the threshold pressure gradient, the cross-flow coefficient, and the storativity ratio are discussed. This analysis holds significant importance for evaluating fluid flow and transport in inter-salt shale oil reservoirs.
Anonymity and Digital Islamic Authority
Authors: Astor Avi , Khir-Allah Ghufran , Martínez-Cuadros Rosa
Published: December 2024

Much of the literature on digital religious authority has focused on spiritual “influencers” and the challenges they pose to traditional religious hierarchies and structures of authority. Less attention has been dedicated to religious websites, social media pages, and digital feeds whose popularity and influence do not hinge on the personalistic qualities of their creators. There is a wide assortment of generic religious reference sites that, although developed and managed by largely anonymous webmasters and administrators, command significant audiences and exert substantial influence on religious interpretations and practices. We argue that anonymity affords certain advantages for bolstering visibility and influence that have hitherto received insufficient attention in the literature on religion, authority, and cyberspace. In contrast to spiritual influencers, who draw attention to their personal biographies, credentials, appearances, and connections to enhance their legitimacy and authority, individuals or groups who administer religious reference sites commonly employ alternative strategies that involve concealing personal identities, experiences, and affiliations. Their aim is to come off as neutral, impartial, and free of ideological baggage that might bias their interpretations. This facilitates their efforts to frame the content they share as a form of universal religious truth that transcends ideological and sectarian differences. Our analysis centers on websites and social media pages that provide guidance to Spanish speakers on Islamic theology, jurisprudence, and piety.
Optimizing Cyanobacterial Strain Selection for Antimicrobial Nanoparticle Synthesis: A Comprehensive Analysis
Authors: Reyes-Galvis Mónica L. , López-Barrera German L. , Urbina-Suarez Néstor A. , García-Martínez Janet B. , Barajas-Solano Andrés F.
Published: December 2024

This study presents the synthesis of metal nanoparticles (NPs) with antimicrobial properties from cyanobacterial biomass. Silver (AgNP), copper (CuNP), and zinc (ZnNP) nanoparticles were prepared from exopolysaccharides (EPSs) obtained from isolated cyanobacterial strains. The antimicrobial activity of AgNPs against Escherichia coli and Staphylococcus aureus was evaluated, and compared with CuNPs and ZnNPs, AgNPs were found to have a greater capacity to inhibit bacterial growth. The main factors influencing antimicrobial activity are the concentration and type of metal used. Using an optimized experimental design, specific conditions were established to maximize the antimicrobial efficacy of the synthesized NPs. The characterization of the nanoparticles included UV–VIS, FTIR, and EDX techniques, which confirmed the formation and purity of the AgNPs. This study highlights the effectiveness of cyanobacterial EPS as a reducing and stabilizing agent and provides a sustainable and efficient alternative for producing nanoparticles with biomedical applications.
HPDH-MI: A High Payload Data Hiding Technique for Medical Images Based on AMBTC
Authors: Lin Chia-Chen , Mirzaei Mostafa , Chu En-Ting , Cheng Chen Chih
Published: December 2024

In the realm of electronic health (eHealth) services powered by the Internet of Things (IoT), vast quantities of medical images and visualized electronic health records collected by IoT devices must be transmitted daily. Given the sensitive nature of medical information, ensuring the security of transmitted health data is paramount. To address this critical concern, this paper introduces a novel data hiding algorithm tailored for Absolute Moment Block Truncation Coding (AMBTC) in medical images, named HPDH-MI (High Payload Data Hiding for Medical Images). The proposed method embeds secret data into the AMBTC compression code inconspicuously to avoid detection by malicious users. It achieves this by first classifying AMBTC compressed blocks into four categories—flat, smooth, complex I, and complex II—using three predetermined thresholds. A 1-bit indicator, based on the proposed grouping strategy, facilitates efficient and effective block classification. A data embedding strategy is applied to each block type, focusing on block texture and taking into account the symmetric features of the pixels within the block. This approach achieves a balance between data hiding capacity, image quality, and embedding efficiency. Experimental evaluations highlight the superior performance of HPDH-MI. When tested on medical images from the Osirix database, the method achieves an average image quality of 31.22 dB, a payload capacity of 225,911 bits, and an embedding efficiency of 41.78%. These results demonstrate that the HPDH-MI method not only significantly increases the payload for concealing secret data in AMBTC compressed medical images but also maintains high image quality and embedding efficiency. This makes it a promising solution for secure data transmission in telemedicine, addressing the challenges of limited bandwidth while enhancing steganographic capabilities in eHealth applications.
Boa Fumigator: An Intelligent Robotic Approach for Mosquito Control
Authors: Konduri Sriniketh , Chittoor Prithvi Krishna , Dandumahanti Bhanu Priya , Yang Zhenyuan , Elara Mohan Rajesh , Jaichandar Grace Hephzibah
Published: December 2024

The mosquitoe population is reaching critical levels globally, posing significant threats to public health and ecosystems due to their role as vectors for diseases. This paper presents the development of a mobile robotic platform named Boa Fumigator with autonomous fumigation and prioritized path planning capabilities in urban landscapes. The robot’s locomotion is based on a differential drive, facilitating easier maneuverability on semi-automated planar surfaces in landscaping infrastructure. The robot’s fumigator payload consists of a spray gun and a chemical tank, which can pan and fumigate up to 4.5 m from the ground. The system incorporates a wireless charging mechanism to allow for the autonomous charging of the mosquito catchers. A genetic algorithm fused with an A*-based prioritized path planning algorithm is developed for efficient navigation and charging of mosquito catchers. The algorithm, designed for maximizing charging efficiency, considers the initial charge percentage of mosquito catchers and the time required for fumigation to determine the optimal path for charging and fumigation. The experiment results show that the path planning algorithm can generate an optimized path for charging and fumigating multiple mosquito catchers based on their initial charge percentage. This paper concludes by summarizing the key findings and highlighting the significance of the fumigation robot in landscaping applications.
Pediatric Meningeal Diseases: What Radiologists Need to Know
Authors: Patel Dhrumil Deveshkumar , Fenton Laura Z. , Lamture Swastika , Kandula Vinay
Published: December 2024

Evaluating altered mental status and suspected meningeal disorders in children often begins with imaging, typically before a lumbar puncture. The challenge is that meningeal enhancement is a common finding across a range of pathologies, making diagnosis complex. This review proposes a categorization of meningeal diseases based on their predominant imaging characteristics. It includes a detailed description of the clinical and imaging features of various conditions that lead to leptomeningeal or pachymeningeal enhancement in children and adolescents. These conditions encompass infectious meningitis (viral, bacterial, tuberculous, algal, and fungal), autoimmune diseases (such as anti-MOG demyelination, neurosarcoidosis, Guillain-Barré syndrome, idiopathic hypertrophic pachymeningitis, and NMDA-related encephalitis), primary and secondary tumors (including diffuse glioneuronal tumor of childhood, primary CNS rhabdomyosarcoma, primary CNS tumoral metastasis, extracranial tumor metastasis, and lymphoma), tumor-like diseases (Langerhans cell histiocytosis and ALK-positive histiocytosis), vascular causes (such as pial angiomatosis, ANCA-related vasculitis, and Moyamoya disease), and other disorders like spontaneous intracranial hypotension and posterior reversible encephalopathy syndrome. Despite the nonspecific nature of imaging findings associated with meningeal lesions, narrowing down the differential diagnoses is crucial, as each condition requires a tailored and specific treatment approach.
Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas
Authors: Feng Yu , Zeng Weiming , Xie Yifan , Chen Hongyu , Wang Lei , Wang Yingying , Yan Hongjie , Zhang Kaile , Tao Ran , Siok Wai Ting , Wang Nizhuan
Published: December 2024

Background: Although it has been noticed that depressed patients show differences in processing emotions, the precise neural modulation mechanisms of positive and negative emotions remain elusive. FMRI is a cutting-edge medical imaging technology renowned for its high spatial resolution and dynamic temporal information, making it particularly suitable for the neural dynamics of depression research. Methods: To address this gap, our study firstly leveraged fMRI to delineate activated regions associated with positive and negative emotions in healthy individuals, resulting in the creation of the positive emotion atlas (PEA) and the negative emotion atlas (NEA). Subsequently, we examined neuroimaging changes in depression patients using these atlases and evaluated their diagnostic performance based on machine learning. Results: Our findings demonstrate that the classification accuracy of depressed patients based on PEA and NEA exceeded 0.70, a notable improvement compared to the whole-brain atlases. Furthermore, ALFF analysis unveiled significant differences between depressed patients and healthy controls in eight functional clusters during the NEA, focusing on the left cuneus, cingulate gyrus, and superior parietal lobule. In contrast, the PEA revealed more pronounced differences across fifteen clusters, involving the right fusiform gyrus, parahippocampal gyrus, and inferior parietal lobule. Conclusions: These findings emphasize the complex interplay between emotion modulation and depression, showcasing significant alterations in both PEA and NEA among depression patients. This research enhances our understanding of emotion modulation in depression, with implications for diagnosis and treatment evaluation.
A Review on Remediation Technology and the Remediation Evaluation of Heavy Metal-Contaminated Soils
Authors: Xu Lei , Zhao Feifei , Xing Xiangyu , Peng Jianbiao , Wang Jiaming , Ji Mingfei , Li B. Larry
Published: December 2024

With the rapid development of industry and agriculture, soil contamination has become a significant environmental issue, and the heavy metal contamination of soils is an important part of it. The main methods for the remediation of heavy metal-contaminated soils include physical methods, chemical methods, biological methods, and combined remediation methods have been proposed as research deepens. However, the standards and evaluation methods for the remediation of heavy metal-contaminated soils are still not well-established. This article discusses the sources and contamination status of heavy metals in soils, the advantages and disadvantages of remediation technology for heavy metal-contaminated soils, remediation standards, and post-remediation evaluation methods. It also proposes scientific issues to be addressed in future research and provides an outlook on future development, hoping to assist in subsequent remediation studies of heavy metal-contaminated soils.
Planning Blue–Green Infrastructure for Facing Climate Change: The Case Study of Bucharest and Its Metropolitan Area
Authors: Tache Antonio-Valentin , Popescu Oana-Cătălina , Petrișor Alexandru-Ionuț
Published: December 2024

Planning for a green–blue infrastructure system around big cities, having the shape of a belt, to connect natural areas—such as green spaces, water, and agricultural land—is a solution for mitigating the challenges of climate change and urban sprawl. In this context, this study presents an innovative information technology solution for assessing the connectivity of the green and blue areas in the metropolitan area of Bucharest, Romania. The solution is to try to stop the sprawl of Bucharest into the adjacent rural areas and answer the need for a green infrastructure providing ecosystem services. The methodology uses datasets compatible with the European databases on environmental issues, CORINE Land Cover 2018 and Urban Atlas, and two tools in the ArcGIS PRO 2.9 software package, namely Cost Raster and Cost Connectivity. Based on the results, we developed a framework for implementing a strategy for the green–blue infrastructure for the Bucharest metropolitan area. Our methodology is a starter for planning a green–blue belt for the metropolitan area of Bucharest and a model of good practice in terms of making green–blue infrastructure part of urban and territorial planning.