bluuebunny/crossref_metadata_2025 huggingface dataset:
Interaction of CETP rs708272 Polymorphism on Trans Fatty Acid Intake and Glucose Metabolism Markers
Authors: Mendivil Edgar J. , Barcenas-Rivera Gerardo , Ramos-Lopez Omar , Hernández-Guerrero Cesar , Rivera-Iñiguez Ingrid , Pérez-Beltrán Yolanda E.
Published: October 2024

Dietary fats influence gene expression and several metabolic pathways. Therefore, it is crucial to study the role of personal genotypes in the interaction between fat consumption and cardiometabolic markers. This research aimed to determine the interaction of the rs708272 polymorphism of CETP and the fatty acid intake with changes in the HOMA-IR in adults living with overweight or obesity. The current study was a secondary analysis of an 8-week controlled clinical trial. The final sample for this analysis comprised 78 Mexican adults with the Cholesteryl Ester Transfer Protein (CETP) rs708272 polymorphism who followed a dietary intervention. Using an interaction analysis, we evaluated the fatty acid intake and the genotypes of rs708272, with changes in blood glucose, insulin, and the HOMA-IR from baseline to endpoint. Our findings suggest a significant interaction between the trans fatty acid intake and the GG genotype with changes in glucose (p = 0.024), insulin (p = 0.004), and the HOMA-IR (p = 0.002). The higher the consumption of trans fatty acids, the less these markers of glucose metabolism were reduced. carriers of the GG genotype may benefit from limiting dietary trans fatty acid intake, as there was no reduction in plasma glucose and insulin despite a hypocaloric dietary intervention in adults with overweight and obesity.
Micronutrients and Major Depression: A Mendelian Randomisation Study
Authors: Carnegie Rebecca E. , Zheng Jie , Borges Maria C. , Jones Hannah J. , Wade Kaitlin H. , Sallis Hannah M. , Lewis Sarah J. , Evans David M. , Revez Joana A. ,   The Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Evans Jonathan , Martin Richard M.
Published: October 2024

Background: Various vitamins and minerals have been implicated in the aetiology of depression. Objective: To estimate the effects of micronutrient exposures on major depressive disorder (MDD) and recurrent depression (rMDD) using Mendelian randomisation (MR), a method using genetic data to estimate causal effects given certain assumptions. Methods: We undertook a comprehensive bidirectional MR study of multiple micronutrient exposures on MDD and rMDD. Summary statistics were obtained from the Psychiatric Genomics Consortium (PGC) genome-wide association studies (GWASs) of MDD (cases = 116,209; controls = 314,566) and rMDD (cases = 17,451; controls = 62,482). Results: None of the micronutrients with available genetic instruments were strongly associated with MDD or rMDD using traditional MR methods. However, using methods to increase analytical power by accounting for genetically correlated variants (e.g., cIVW) highlighted five micronutrients with possible causal effects. Point estimates for rMDD were the largest magnitude, with three micronutrients suggestive of a protective effect: serum iron (ORcIVW 0.90 per SD increase; 95% CI 0.85–0.95; p = 0.0003); erythrocyte copper (ORcIVW 0.97; 95% CI 0.95–0.99; p = 0.0004); and 25(OH) vitamin D (ORcIVW 0.81; 0.66–0.99; p = 0.04). Apparent adverse effects of increased selenium on the risk of MDD (ORcIVW 1.03; 95% CI 1.02–1.05; p = 0.0003) and rMDD (ORcIVW 1.08; 95% CI 1.00–1.08; p = 0.06), and serum magnesium on rMDD (ORcIVW 1.21; 1.01–1.44; p = 0.04); were less consistent between methods and may be driven by pleiotropy. Conclusions: Our results suggest weak evidence for a protective effect of iron, copper and 25(OH)D on major depressive outcomes, with mixed evidence for selenium and magnesium. There was no evidence to support a causal effect of any other micronutrients on MDD or rMDD, although genetic instruments were lacking, with insufficient power to detect small but important effects. Future micronutrient supplementation trials should ensure ample statistical power given modest causal effect estimates and consider potential risks of supplementation, as some micronutrient effect estimates suggested potential harm in excess.
Knowledge and Practices Regarding Dietary Supplements Among Healthcare Professionals in Poland
Authors: Strocka Justyna , Religioni Urszula , Plagens-Rotman Katarzyna , Drab Agnieszka , Merks Piotr , Kaźmierczak Justyna , Blicharska Eliza , Pinkas Jarosław
Published: October 2024

Introduction: The growing popularity of dietary supplements in Poland raises the need to verify the knowledge and practices of healthcare workers who have a key role in recommending their use. Understanding these issues is important to ensure patient safety and the correct use of dietary supplements. Therefore, the aim of the study was to examine the level of knowledge, practices, and sources of information on dietary supplements among various professional groups of healthcare workers. Material and Methods: The study conducted from September 2023 to June 2024 involved 743 healthcare professionals, including doctors, pharmacists, and nurses. Data were collected online using an original questionnaire. The questionnaire was placed in portals associated with target groups. Results: A total of 73.49% of respondents declared knowledge of dietary supplements. The most common source of information was scientific articles (42.8%), and only 7.00% of respondents used official sources such as the Chief Sanitary Inspectorate. Advertisements had a smaller impact on doctors (p < 0.001), with 46.97% of respondents stating that they did not pay attention to them. In addition, 84.52% of respondents considered the composition of the dietary supplement to be a key factor in their recommendation. Conclusions: Knowledge of dietary supplements among healthcare professionals varies, particularly between different professional groups. The results indicate a need for further education and standardization of information to ensure safe and responsible recommendation of supplements to consumers.
Response of One-Carbon Biomarkers in Maternal and Cord Blood to Folic Acid Dose During Pregnancy
Authors: Fleming Jennifer M. , Rosa Gisselle , Bland Victoria , Kauwell Gail P. A. , Malysheva Olga V. , Wettstein Alleigh , Hausman Dorothy B. , Bailey Lynn B. , Park Hea Jin
Published: October 2024

Background/Objectives: The folate Recommended Daily Allowance (RDA) for pregnant women is 600 μg/day dietary folate equivalents, which is equivalent to approximately 400 μg folic acid. Many prenatal supplements contain much higher doses of folic acid. The body’s ability to reduce synthetic folic acid to the metabolically active form may be exceeded with high levels of supplementation. The objective of this double-blinded randomized controlled intervention trial was to determine changes in unmetabolized folic acid and other biomarkers of folate and one-carbon metabolism in maternal and cord blood in response to a folic acid dose commonly found in prenatal supplements (800 μg/day) compared to the dose equivalent of the RDA (400 μg/day). Methods: Healthy pregnant women were randomized and provided supplements from their first prenatal visit (<12 weeks gestation) through delivery. Maternal blood was collected at baseline and delivery. Umbilical cord blood from the mothers was collected at delivery. Results: A repeated measures analysis of variance revealed that there was a significant group supplemental dose effect (p = 0.0225) on serum unmetabolized folic acid concentration in mothers but no difference in cord blood unmetabolized folic acid concentrations between groups. Mixed effects analysis found a significant overall effect of pre-pregnancy BMI (p = 0.0360) and length of previous folic acid supplementation (p = 0.0281) on serum folate concentrations. No treatment effect was seen in RBC folate concentrations. Choline concentrations were higher in cord blood from the 800 μg/day group compared to the 400 μg/day group, but there was no group effect in maternal choline concentrations. Conclusions: The results indicate that folic acid dose during pregnancy affects certain folate and one-carbon biomarkers, and these effects are not consistent between maternal and cord blood. Potential long-term effects of these results on both mothers and offspring are unknown and merit further investigation.
In Silico Development of a Multi-Epitope Subunit Vaccine against Bluetongue Virus in Ovis aries Using Immunoinformatics
Authors: Sinha Priyansha Raj , Hegde Shubhada R. , Mittal Ruchika , Jagat Chikkamagaluru Chandrashekhar , Gowda Ullas , Chandrashekhar Rathna , Muthaiah Gayathri , Shamshad Samer , Chanda Mohammed Mudassar , Ganji Vishweshwar , Putty Kalyani , Hemadri Divakar
Published: October 2024

The bluetongue virus (BTV), transmitted by biting midges, poses a significant threat to livestock globally. This orbivirus induces bluetongue disease, leading to substantial economic losses in the agricultural sector. The current control measures have limitations, necessitating the development of novel, efficient vaccines. In this study, an immunoinformatics approach is employed to design a multi-epitope subunit vaccine for Ovis aries targeting six BTV serotypes. Focusing on the VP2 capsid protein, the vaccine incorporates B-cell, helper-T lymphocytes (HTL), and cytotoxic T-cell lymphocytes (CTL) epitopes. Molecular docking reveals stable interactions with TLR2 and TLR4 receptors, suggesting the stability of the complex, indicating the potential viability of the multi-epitope vaccine. The computational approach offers a rapid and tailored strategy for vaccine development, highlighting potential efficacy and safety against BTV outbreaks. This work contributes to understanding BTV and presents a promising avenue for effective control.
Prospecting Pharmacologically Active Biocompounds from the Amazon Rainforest: In Vitro Approaches, Mechanisms of Action Based on Chemical Structure, and Perspectives on Human Therapeutic Use
Authors: de Almada-Vilhena Andryo O. , dos Santos Oscar V. M. , Machado Milla de A. , Nagamachi Cleusa Y. , Pieczarka Julio C.
Published: October 2024

The Amazon rainforest is an important reservoir of biodiversity, offering vast potential for the discovery of new bioactive compounds from plants. In vitro studies allow for the investigation of biological processes and interventions in a controlled manner, making them fundamental for pharmacological and biotechnological research. These approaches are faster and less costly than in vivo studies, providing standardized conditions that enhance the reproducibility and precision of data. However, in vitro methods have limitations, including the inability to fully replicate the complexity of a living organism and the absence of a complete physiological context. Translating results to in vivo models is not always straightforward, due to differences in pharmacokinetics and biological interactions. In this context, the aim of this literature review is to assess the advantages and disadvantages of in vitro approaches in the search for new drugs from the Amazon, identifying the challenges and limitations associated with these methods and comparing them with in vivo testing. Thus, bioprospecting in the Amazon involves evaluating plant extracts through bioassays to investigate pharmacological, antimicrobial, and anticancer activities. Phenolic compounds and terpenes are frequently identified as the main bioactive agents, exhibiting antioxidant, anti-inflammatory, and antineoplastic activities. Chemical characterization, molecular modifications, and the development of delivery systems, such as nanoparticles, are highlighted to improve therapeutic efficacy. Therefore, the Amazon rainforest offers great potential for the discovery of new drugs; however, significant challenges, such as the standardization of extraction methods and the need for in vivo studies and clinical trials, must be overcome for these compounds to become viable medications.
Antimycobacterial Activity of Essential Oils from Bulgarian Rosa Species Against Phylogenomically Different Mycobacterium tuberculosis Strains
Authors: Valcheva Violeta , Mileva Milka , Dogonadze Marine , Dobreva Ana , Mokrousov Igor
Published: October 2024

In this study, we aimed to assess the activity of the essential oils from four Bulgarian oil-bearing roses Rosa damascena Mill., R. alba L., R. centifolia L., and R. gallica L., on the reference strain Mycobacterium tuberculosis H37Rv and clinical M. tuberculosis strains of the Beijing and Latin-American Mediterraneum genotypes. The chemical composition of the essential oils was determined by gas chromatography (GC-FID/MS). Minimal inhibitory concentrations (MIC) were determined using the resazurin method. R. alba oil showed the highest inhibitory activity when tested on all strains of different phylogenetic origins with MIC in the range of 0.16–0.31 mg/mL, while R. gallica oil was the least active (MIC 0.62–1.25 mg/mL). The obtained results show heterogeneity of rose oil action on different mycobacterial strains and we hypothesize that the combined level of geraniol and nerol is a key factor that underlies the antimycobacterial action of the rose oils. Strain Beijing 396 was relatively more susceptible to the rose oils probably due to multiple and likely deleterious mutations in its efflux pump genes. Two clinical MDR strains have likely developed during their previous adaptation to anti-TB drugs certain drug tolerance mechanisms that also permitted them to demonstrate intrinsic tolerance to the essential oils. Further research should investigate a possible synergistic action of the new-generation anti-TB drugs and the most promising rose oil extracts on the large panel of different strains.
The Ability of Vaping Technology to Deliver an Equivalent Respirable Dose of Beclomethasone Dipropionate Compared to Nebulization
Authors: Bruneau Cyrille , Mercier Clément , Leclerc Lara , Pourchez Jérémie
Published: October 2024

Background/Objectives: This study focuses on the ability of vaping technology to deliver beclomethasone dipropionate compared to nebulization. Methods: An in vitro comparison of aerosol properties in terms of respirable dose with the Glass Twin Impinger and the mass median aerodynamic diameter using the Next Generation Impactor was performed. The respirable dose delivered in a vaping drug delivery system (VDDS) puff as a function of concentration was quantified by high-pressure liquid chromatography coupled with an ultraviolet detector. Results: The mass of drug contained in a single puff of 55 mL of aerosol varied between 0.94 and 1.95 µg for a refill liquid concentration range of 400 to 1600 µg/mL. The analysis of the particle size distribution shows an advantage for a VDDS in producing smaller particles compared to nebulization (1.56 ± 0.05 µm vs. 2.30 ± 0.19 µm). In total, 81 puffs are needed to reach the dose equivalent to nebulized beclomethasone dipropionate under these specific experimental conditions, which corresponds to an aerosol duration of about 4 min (i.e., four times lower than the jet nebulizer) and a patient administration time of about 45 min (i.e., three times higher than the jet nebulizer). Conclusions: The results show the potential of vaping devices as an alternative to nebulizers for the administration of beclomethasone dipropionate in an equivalent respirable dose.
Impact of a Clinical Decision Support System on the Change over Time in the Anticholinergic Load in Geriatric Patients: The SADP-Antichol Study
Authors: Delvallée Grégoire , Mondet Lisa , Cornille Chloé , Deschasse Guillaume , Lenglet Aurélie
Published: October 2024

Purpose: Anticholinergic drugs can cause adverse events (AEs) in older adults. Clinical decision support systems (CDSSs) can detect prescriptions with a high anticholinergic load. Our starting hypothesis was that the anticholinergic load could be reduced by combining a CDSS with a strategy for generating pharmacist interventions. The objective of the present study was to assess the impact of this combination on the change over time in the anticholinergic load in hospitalized older adults. Methods: This prospective, single-centre study was divided into two 6-week periods. During the interventional period, a pharmacist analyzed the alerts generated by the CDSS for 30 targeted anticholinergic drugs and decided whether to issue a pharmacist intervention. A control period corresponds to standard care. The primary endpoint of the study is the delta of the anticholinergic load between the alert and hospital discharge; the secondary endpoint is the incidence of anticholinergic adverse events (AEs). Results: Of the 144 alerts generated, 87 were considered to be relevant (36 in the interventional period and 51 in the control period). A significant difference was observed between the delta anticholinergic load between the experimental and control periods (1.61 vs. 0.67, p-value = 0.0115). For the targeted drugs (n = 94) over the 87 alerts, 46.8% were for antihistamines and 21.3% were for desloratadine. Of the 36 pharmacist interventions sent by the pharmacist, 19 (52.8%) were accepted. The most deprescribed drug class was the antihistamine class (n = 7), and the most deprescribed drug was amitriptyline (n = 5). Among these 87 patients with alerts, the correlation between the anticholinergic load and the number of AEs was not statistically significant (p = 0.887). The most common AE affecting the peripheral nervous system was constipation (28.6%), and the most common AE affecting the central nervous system was confusion (29.9%). Conclusions: Our results showed that the combination of specific CDSS rules with pharmacist-mediated risk management procedures could further reduce the anticholinergic load in hospitalized older adults, relative to routine care. It remains to be determined whether this reduction in the anticholinergic load has an impact on the incidence of peripheral and central anticholinergic AEs, and thus the health of these patients.
Salt Tolerance in Sugar Beet: From Impact Analysis to Adaptive Mechanisms and Future Research
Authors: Wang Yuetong , Liu Huajun , Wang Maoqian , Liu Jiahui , Geng Gui , Wang Yuguang
Published: October 2024

The continuous global escalation of soil salinization areas presents severe challenges to the stability and growth of agricultural development across the world. In-depth research on sugar beet (Beta vulgaris L.), an important economic and sugar crop with salt tolerance characteristics, is crucial for to determine its salt-tolerance mechanisms, which has important practical implications for production. This review summarizes the multifaceted effects of salt stress on sugar beet, ranging from individual plant responses to cellular and molecular adaptations. Sugar beet exhibits robust salt-tolerance mechanisms, including osmotic regulation, ion balance management, and the compartmentalization of toxic ions. Omics technologies, including genomics, transcriptomics, proteomics, post-translational modification omics and metabolomics, have played crucial roles in elucidating these mechanisms. Key genes and pathways involved in salt tolerance in sugar beet have been identified, paving the way for targeted breeding strategies and biotechnological advancements. Understanding these mechanisms not only enhances our knowledge of sugar beet’s adaptation strategies but also provides insights for improving salt tolerance in other crops. Future studies should focus on analyzing gene expression changes in sugar beet under salt stress to gain insight into the molecular aspects of its salt-tolerance mechanisms. Meanwhile, the effects of different environmental conditions on sugar beet adaptation strategies should also be investigated to improve their growth potential in salinized soils.
The Effects of the Selective Removal of Adjacent Trees on the Diversity of Oak-Hosted Epiphytes and Tree-Related Microhabitats
Authors: Liepiņa Agnese Anta , Jansone Diāna , Elferts Didzis , Barone Ilze , Donis Jānis , Jansons Āris
Published: October 2024

Restoration efforts to maintain oak-dominated habitats and enhance biodiversity often employ selective thinning, but its long-term effect on multiple taxa remains unclear. This study examines the effects of halo thinning around pedunculate oak on epiphytic and tree-related microhabitat (TreM) diversity in the boreal–nemoral forest zone. We revisited nine sites in Latvia with 150–331-year-old oaks, where thinning was conducted in 2003–2004. Epiphyte species composition and cover were assessed, and TreMs were evaluated using standardised methods. Diversity indices (Hill numbers, q = 0; 1; 2; 3) and statistical models (LMMs, Poisson GLMMs) were used to analyse the effects of thinning on species richness and TreM occurrence. Halo thinning over the past 20 years has not caused significant differences in epiphyte or TreM diversity, though managed trees exhibited a higher occurrence of the most common microhabitats. These findings suggest halo thinning may enhance specific TreM features but do not substantially promote epiphyte and TreM diversity. Future research should implement systematic monitoring, deriving the relationships between the conditions after the thinning and their effects, thus serving as the basis for adaptive habitat management strategies. Expanding the scope of such studies is essential for developing evidence-based forest management strategies.
Agronomic Evaluation and Chemical Characterization of Salvia lavandulifolia Vahl. over 3 Consecutive Years Cultivated Under Harsh Climatic Conditions in Southeast Spain
Authors: Cáceres-Cevallos Gustavo J. , Quílez María , Ortiz de Elguea-Culebras Gonzalo , Melero-Bravo Enrique , Sánchez-Vioque Raúl , Jordán María J.
Published: October 2024

The cultivation of Salvia lavandulifolia, Spanish sage, makes an important contribution to the economy of many rural areas in Southeastern Spain. This aromatic plant species is characterized by high intraspecific variability, which makes the selection process for the establishment of homogeneous crops difficult. Additionally, imminent climate change threatens to reduce its production, especially when cultivated in drylands. Therefore, to guarantee the continued production of this type of sage, it is essential to study its agronomic behavior and production quality. For this, clones from four ecotypes were cultivated for three years, assessing changes in their biomass production, essential oil yield and quality, and phenolic fraction, as well as the corresponding antioxidant activity. The results suggest that essential oil yield is genetically predetermined, greater biomass not being associated with higher quantities of essential oil. Weather conditions affected both essential oil and phenolic fraction secondary metabolism. Under very harsh conditions, Spanish sage produces higher concentrations of camphor and 1,-8-cineole along with luteolin-7-O-glucoside, and lithospermic, rosmarinic, and salvianolic A acids in its phenolic fraction. The synthesis of these components helps the species to withstand the hot and dry conditions typical of southeast Spain.
A Rapid Method for Obtaining the Transgenic Roots of Crassulaceae Plants
Authors: Zhou Lan , Yang Yulu , Sharma Anket , Singh Vijay Pratap , Tripathi Durgesh Kumar , Ding Wona , Rao Muhammad Junaid , Zheng Bingsong , Wang Xiaofei
Published: October 2024

Crassulaceae plants are valued for their horticultural, ecological, and economic significance, but their genetic improvement is hindered by the absence of efficient and stable genetic transformation methods. Therefore, the development of a tailored genetic transformation method is crucial for enhancing the progress of the genetic improvement of Crassulaceae plants. The results indicate that, in the transformation experiments conducted on Kalanchoe tetraphylla, the K599 strain exhibited the highest transformation efficiency (76.67%), while C58C1 was least efficient (21.43%). An acetosyringone concentration of 100 μM was optimal for the hairy root transformation, and the immersion method yielded the highest efficiency. Additionally, the Silwet L-77 concentration significantly influenced the transformation efficiency, with 0.05% leading to a decrease. Upon four Crassulaceae species, notable differences were observed, with K. tetraphylla exhibiting the highest efficiency of 100%, and Sedum alfredii displaying the lowest efficiency of 5%. The RUBY reporter gene offers a more distinct advantage over GFP in observing the transformation effects. This study developed a simple, feasible, and cost-effective method for obtaining transgenic roots from leaves of Crassulaceae. The methodology provides technical support for the genetic improvement and gene function research of Crassulaceae plants.
Advanced Hybrid Strategies of GelMA Composite Hydrogels in Bone Defect Repair
Authors: Yu Han , Luo Xi , Li Yanling , Shao Lei , Yang Fang , Pang Qian , Zhu Yabin , Hou Ruixia
Published: October 2024

To date, severe bone defects remain a significant challenge to the quality of life. All clinically used bone grafts have their limitations. Bone tissue engineering offers the promise of novel bone graft substitutes. Various biomaterial scaffolds are fabricated by mimicking the natural bone structure, mechanical properties, and biological properties. Among them, gelatin methacryloyl (GelMA), as a modified natural biomaterial, possesses a controllable chemical network, high cellular stability and viability, good biocompatibility and degradability, and holds the prospect of a wide range of applications. However, because they are hindered by their mechanical properties, degradation rate, and lack of osteogenic activity, GelMA hydrogels need to be combined with other materials to improve the properties of the composites and endow them with the ability for osteogenesis, vascularization, and neurogenesis. In this paper, we systematically review and summarize the research progress of GelMA composite hydrogel scaffolds in the field of bone defect repair, and discuss ways to improve the properties, which will provide ideas for the design and application of bionic bone substitutes.
Current and Future Insights in Organic–Inorganic Hybrid Materials
Authors: García-Martínez Jesús-María , Collar Emilia P.
Published: October 2024

The text below outlines some current and future possibilities for organic–inorganic hybrid materials [...]
Effects of Isocyanate Structure on the Properties of Polyurethane: Synthesis, Performance, and Self-Healing Characteristics
Authors: Wang Hairui , Cao Lan , Wang Xiaolei , Lang Xiurui , Cong Wenwen , Han Long , Zhang Hongyu , Zhou Huibin , Sun Jujie , Zong Chengzhong
Published: October 2024

Polyurethane (PU) plays a critical role in elastomers, adhesives, and self-healing materials. We selected the most commonly used aromatic isocyanates, 4,4′-methylene diphenyl diisocyanate (MDI) and tolylene-2,4-diisocyanate (TDI), and the most commonly used aliphatic isocyanates, hexamethylene diisocyanate (HDI), isophorone diisocyanate (IPDI), and dicyclohexylmethane-4,4′-diisocyanate (HMDI), as raw materials, combined with polytetramethylene ether glycol (PTMG) and 1,4-butanediol (BDO) to successfully synthesize five PU materials. The effects of isocyanate structure on polymerization rate, hydrogen bonding, thermal properties, phase separation, wettability, self-healing performance, adhesion, and mechanical properties were systematically investigated. The results show that isocyanates with higher symmetry facilitate hydrogen bonding, but excessive flexibility and crystallinity may inhibit its formation. MDI-based PU exhibits the highest hydrogen bonding index (HBI) of 4.10, along with the most distinct phase separation and the highest tensile strength of 23.4 MPa. HMDI-based PU demonstrates the best adhesion properties, with the highest lap shear strength of 7.9 MPa, and also exhibits excellent scratch healing ability. IPDI-based PU shows good self-healing performance, recovering 88.7% of its original tensile strength and 90.6% of its original lap shear strength after heating at 80 °C for 24 h. Furthermore, all the samples can be reprocessed by melt or solution methods, showing excellent recyclability.
Silica-Based Composite Sorbents for Heavy Metal Ions Removal from Aqueous Solutions
Authors: Ciobanu Ramona , Bucatariu Florin , Mihai Marcela , Teodosiu Carmen
Published: October 2024

Weak polyelectrolyte chains are versatile polymeric materials due to the large number of functional groups that can be used in different environmental applications. Herein, one weak polycation (polyethyleneimine, PEI) and two polyanions (poly(acrylic acid), PAA, and poly(sodium methacrylate), PMAA) were directly deposited through precipitation of an inter-polyelectrolyte coacervate onto the silica surface (IS), followed by glutaraldehyde (GA) crosslinking and extraction of polyanions chains. Four core–shell composites based on silica were synthesized and tested for adsorption of lead (Pb2+) and nickel (Ni2+) as model pollutants in batch sorption experiments on the laboratory scale. The sorbed/desorbed amounts depended on the crosslinking degree of the composite shell, as well as on the type of anionic polyelectrolyte. After multiple loading/release cycles of the heavy metal ions, the maximum sorption capacities were situated between 5–10 mg Pb2+/g composite and 1–6 mg Ni2+/g composite. The strong crosslinked composites (r = 1.0) exhibited higher amounts of heavy metal ions (Me2+) sorbed than the less crosslinked ones, with less PEI on the surface but with more flexible chains being more efficient than more PEI with less flexible chains. Core–shell composites based on silica and weak polyelectrolytes could act as sorbent materials, which may be used in water or wastewater treatment.
Effects of Clump Size on the Pluripotency and Proliferation in the Passaging Process of Mouse Induced Pluripotent Stem Cells
Authors: Ishii Koji , Abe Koki , Sakamoto Teiji , Hasebe Hisashi , Miyata Shogo
Published: October 2024

Induced pluripotent stem cells (iPSCs) are a promising cell source because of their pluripotency and self-renewal abilities. However, there is a risk of pluripotency loss during cell expansion. Particularly, cell passaging is associated with a higher risk of decreasing cell quality. There are two iPSC passaging methods: single-cell and clump passaging. Single-cell passaging is a rapid and simple method for cell manipulation, whereas clump passaging is superior for maintaining iPSC pluripotency. Therefore, clump passaging is a robust method for expanding iPSCs while maintaining their pluripotency. However, clump size control during clump passaging is difficult because colony fragmentation is performed manually by pipetting the colonies detached from the cell culture substrates. In this study, the effect of pipetting on iPSC colony fragmentation was evaluated and the relationship between iPSC clump size and pluripotency was clarified. An automated pipetting device was developed to standardize the clump passage process. The effect of clump size on the pluripotency and proliferative capacity of mouse iPSCs was investigated. Clump size was controlled by varying the number of pipetting cycles, and pluripotency and proliferation were assessed via alkaline phosphatase staining and flow cytometry. Our results revealed that a decrease in clump size corresponded to an increase in cell proliferation, while pluripotency maintenance was optimized under specific clump sizes. These results underscore the significance of clump size for stem cell quality, emphasizing the need for a balanced approach to maintain pluripotency while fostering proliferation in the cell expansion culture for iPSCs.
Interpreting the Sabbath Among the Swiss Reformed
Authors: Fisher Jeff
Published: October 2024

Among the many changing practices during the Reformation, Sabbath observance gained increasing importance as interpretations and practices evolved, leading to divisions among different traditions and disagreements within those traditions. Sabbath theology helped distinguish confessional identity. This study aims to delve deeper into Swiss Reformed interpretations of specific Scriptures that provide the basis for theological conclusions and practical applications regarding Sabbath. It focuses on four key passages in Isaiah (1:13–15, 56:2–8, 58:13–14, and 66:22–24) that contributed to the biblical basis for interpretations of Sabbath among the reformers. By comparing interpretations, we gain a more complete picture of the Swiss Reformed perspectives on Sabbath and observe a pattern of religious change as these religious ideas spread across different regions of the Swiss Confederation from the 1520s to the 1580s. The Swiss Reformed interpreters include Johannes Oecolampadius (1482–1531) in Basel, Ulrich Zwingli (1484–1531) and Konrad Pellikan (1478–1556) in Zurich, Wolfgang Musculus (1497–1563) in Bern, and Heinrich Bullinger (1504–1575) and Rudolf Gwalther (1519–1586) in Zurich again. The questions addressed in working through their interpretations include which meanings of Sabbath they emphasize, distinctions they make regarding the Sabbath commandment, aspects of Sabbath they think are perpetual, and the day of the week they argue Christians should observe Sabbath. This portrait of Sabbath interpretations among the Swiss Reformed depicts the gradual development toward stricter and more comprehensive views on Sabbath practice among Reformed Christians and gives voice to the unique understandings of these individual Swiss Reformed theologians in the sixteenth century.
News Sentiment and Liquidity Risk Forecasting: Insights from Iranian Banks
Authors: Mirashk Hamed , Albadvi Amir , Kargari Mehrdad , Rastegar Mohammad Ali
Published: October 2024

This study addresses the critical challenge of predicting liquidity risk in the banking sector, as emphasized by the Basel Committee on Banking Supervision. Liquidity risk serves as a key metric for evaluating a bank’s short-term resilience to liquidity shocks. Despite limited prior research, particularly in anticipating upcoming positions of bank liquidity risk, especially in Iranian banks with high liquidity risk, this study aimed to develop an AI-based model to predict the liquidity coverage ratio (LCR) under Basel III reforms, focusing on its direction (up, down, stable) rather than on exact values, thus distinguishing itself from previous studies. The research objectively explores the influence of external signals, particularly news sentiment, on liquidity prediction, through novel data augmentation, supported by empirical research, as qualitative factors to build a model predicting LCR positions using AI techniques such as deep and convolutional neural networks. Focused on a semi-private Islamic bank in Iran incorporating 4,288,829 Persian economic news articles from 2004 to 2020, this study compared various AI algorithms. It revealed that real-time news content offers valuable insights into impending changes in LCR, particularly in Islamic banks with elevated liquidity risks, achieving a predictive accuracy of 88.6%. This discovery underscores the importance of complementing traditional qualitative metrics with contemporary news sentiments as a signal, particularly when traditional measures require time-consuming data preparation, offering a promising avenue for risk managers seeking more robust liquidity risk forecasts.
Realization of Integrated Regional Ecological Management Based on Ecosystem Service Supply and Demand Flow Networks: An Example from a Dominant Mineral Resources Development Area
Authors: Xiao Sheng , Zhao Yanling , Li Hui , Deng Hairong , Xu Hao , Xing Yimin , Li Dan
Published: October 2024

Understanding the flow processes and pattern optimization of ecosystem services (ESs) supply and demand is crucial for integrated regional ecological management. However, the understanding of the flow process of ESs at the 1 km grid scale is still limited, especially in areas dominated by mineral resource development. The landscape in these areas has undergone significant changes due to mining activities. It is urgent to construct a regional management model that integrates the flow of ecosystem services and mine restoration. This study developed a framework that links ecosystem service flows (ESFs) and ecological security patterns (ESP) based on multi-source ecological monitoring data, constructed an ES supply-demand flow network through the flow properties, and determined the sequence and optimization strategies for mine rehabilitation to achieve integrated regional management. The results show that, except for food production (FP), other services were in surplus overall, mostly in synergistic relationships, but the spatial distribution of their supply and demand was not coordinated. Surplus areas were located mainly in the eastern woodlands, and deficit areas were located in the northwestern production agglomeration centers, suggesting that areas of supply-demand imbalance can be mitigated through ecological integration. Among these, water yield (WY) had a small number of sources and sinks and is limited in area range. Habitat quality (HQ) sources and sinks had the largest area coverage and the highest number. The distribution of ESF corridors, influenced by factors such as the number of sources and sinks, flow characteristics, and spatial resistance, varied significantly. HQ exhibited a more uniform distribution range, while WY had a longer average length of flow path. Overlaying ecological and mining factors, we identified ecological strategic spots, important supply areas, beneficiary areas, and mine priority restoration areas to further optimize the overall layout and rationally allocate the intrinsic structure of the patches based on ES supply and demand.
Neural Surfel Reconstruction: Addressing Loop Closure Challenges in Large-Scale 3D Neural Scene Mapping
Authors: Cui Jiadi , Zhang Jiajie , Kneip Laurent , Schwertfeger Sören
Published: October 2024

Efficiently reconstructing complex and intricate surfaces at scale remains a significant challenge in 3D surface reconstruction. Recently, implicit neural representations have become a popular topic in 3D surface reconstruction. However, how to handle loop closure and bundle adjustment is a tricky problem for neural methods, because they learn the neural parameters globally. We present an algorithm that leverages the concept of surfels and expands relevant definitions to address such challenges. By integrating neural descriptors with surfels and framing surfel association as a deformation graph optimization problem, our method is able to effectively perform loop closure detection and loop correction in challenging scenarios. Furthermore, the surfel-level representation simplifies the complexity of 3D neural reconstruction. Meanwhile, the binding of neural descriptors to corresponding surfels produces a dense volumetric signed distance function (SDF), enabling the mesh reconstruction. Our approach demonstrates a significant improvement in reconstruction accuracy, reducing the average error by 16.9% compared to previous methods, while also generating modeling files that are up to 90% smaller than those produced by traditional methods.
TRPV4—A Multifunctional Cellular Sensor Protein with Therapeutic Potential
Authors: Koskimäki Sanna , Tojkander Sari
Published: October 2024

Transient receptor potential vanilloid (TRPV) channel proteins belong to the superfamily of TRP proteins that form cationic channels in the animal cell membranes. These proteins have various subtype-specific functions, serving, for example, as sensors for pain, pressure, pH, and mechanical extracellular stimuli. The sensing of extracellular cues by TRPV4 triggers Ca2+-influx through the channel, subsequently coordinating numerous intracellular signaling cascades in a spatio-temporal manner. As TRPV channels play such a wide role in various cellular and physiological functions, loss or impaired TRPV protein activity naturally contributes to many pathophysiological processes. This review concentrates on the known functions of TRPV4 sensor proteins and their potential as a therapeutic target.
Assessing Wear Characteristics of Sprayable, Diacetylene-Containing Sensor Formulations
Authors: Shiveshwarkar Priyanka , Nelson Anthony David , Nguyen My Thi , Jaworski Justyn
Published: October 2024

This work extends recent developments in diacetylene-based, sprayable sensors by identification and assessment of formulations which facilitate their use for wearable sensing. Diacetylene-based spray-on sensors have the potential to be a widely deployed sensing technology, as they require no power and can be applied as thin coatings onto surfaces to provide a colorimetric response to target exposure. In responding to radiation, liquid-phase targets, or gas-phase targets specifically determined by the formulation of the sprayable sensor used, this technology is amenable to wearable sensors for measuring exposure to different environmental risks. Here, we provide the means to improve wear resistance, reduce false-positive signals due to wetting, and enhance color fastness for coatings of sprayable, diacetylene-based sensor formulations on cotton fabric. These sensor formulations possess polymethyl methacrylate (PMMA), which enhances the coating stability to only 8% color loss due to wear compared to 18–25% without PMMA, while maintaining the inherent ability of diacetylene-component formulations to detect radiation as well as gas or liquid phase analytes. This represents a significant step toward the use of diacetylene-based sensing formulations for wearable sensing. In the future, the form of spray-on sensor materials demonstrated here may find use in wearable sensing applications for detection of cumulative exposure to UV radiation, hydrogen peroxide vapors, or solvent exposure. We expect trends toward applications toward other wearable sensors for environmental monitoring given the well-known customizability in target response of diacetylene-containing monomers by modifying their headgroup chemistry.
Smart Compression Sock for Early Detection of Diabetic Foot Ulcers
Authors: Billings Julia , Gee Julia , Ghulam Zinah , Abdullah Hussein A.
Published: October 2024

The prevention of diabetic foot ulcers remains a critical challenge. This study evaluates a smart compression sock designed to address this issue by integrating temperature, plantar pressure, and blood oxygen sensors and monitoring data recorded by these sensors. The smart sock, developed with input from a certified Pedorthist, was tested on 20 healthy adult participants aged 16 to 53. It includes four temperature sensors and pressure sensors at common ulcer sites (first and fifth metatarsal heads, calcaneus, and hallux), and a blood oxygen sensor on the hallux. The sensors are monitored, and their transduced data are collected and stored through an app installed on a personal cell phone. The mobile app interface is user-friendly, providing intuitive navigation and easy access to the sensors’ data. Using repeated measures ANOVA and post hoc tests, we analyzed the impact of various physical activities on physiological changes in the foot. The device effectively detected significant variations in blood oxygen, temperature, and pressure across six activities. Statistical analyses revealed significant differences based on activity type and sensor location. These results highlight the smart sock’s sensitivity and accuracy, suggesting its potential to prevent diabetic foot ulcers. Further clinical trials are needed to evaluate its efficacy in a larger, more diverse population.
VNS-BA*: An Improved Bidirectional A* Path Planning Algorithm Based on Variable Neighborhood Search
Authors: Li Peng , Li Ying , Dai Xuesong
Published: October 2024

The A* algorithm is an effective method for path planning; however, it has certain drawbacks, such as a high number of turns, low planning efficiency, and redundant searches. To address these issues, this paper proposes an improved bidirectional A* global path planning algorithm based on a variable neighborhood search strategy, named VNS-BA*. The new algorithm first employs an 8-11-13 neighborhood search method for node expansion. Then, the bidirectional search strategy is optimized by using the current nodes of the opposite path and the global target point, enabling the two paths to meet in the middle of the map. Finally, redundant turns are removed from the path, and cubic spline interpolation is applied to achieve local smoothing at the turns. The effectiveness of the improved algorithm was validated on different maps and compared with A* and its three derived improved versions. The simulation results indicate that VNS-BA* shows significant improvements in terms of the number of path turns, turn angles, and planning efficiency.
Enhancing Sensing Performance of Capacitive Sensors Using Kirigami Structures
Authors: Lim Chor-Kheng
Published: October 2024

Capacitive sensors have widespread applications in human-machine interaction, Internet of Things, and smart home systems due to their low cost, high sensitivity, and ease of integration. However, improving the sensitivity and sensing distance of capacitive sensors remains a challenging issue. This study proposes a novel capacitive sensor design method based on Kirigami structures, which enhances sensor performance by introducing specific cutting patterns into the conductive layer to leverage edge effects. Through experimental testing and statistical analysis, we systematically investigated the influence of Kirigami geometric parameters on sensor sensitivity and sensing distance. We designed and fabricated 12 different Kirigami structures, including circular flower patterns, array patterns, layered pointed flower patterns, and circular strip structures, and compared them with traditional non-cut structures. The results show that Kirigami structures significantly improved sensor performance. Compared to traditional sensors without Kirigami structures, optimally designed Kirigami capacitive sensors demonstrated approximately a 3-fold increase in sensitivity and up to 170 percent extension in sensing distance. Multivariate regression analysis and nonlinear models revealed complex relationships between Kirigami structural parameters and sensor performance. Notably, the circular strip (three-layer) structure exhibited the best performance, possibly due to its maximization of edge effects and optimization of electric field distribution. This study provides new design insights for developing high-performance capacitive sensors, with potential applications in improving smart home systems and indoor activity monitoring for solitary elderly individuals.
Implementation of an Intelligent Trap for Effective Monitoring and Control of the Aedes aegypti Mosquito
Authors: Oliveira Danilo , Mafra Samuel
Published: October 2024

Aedes aegypti is a mosquito species known for its role in transmitting dengue fever, a viral disease prevalent in tropical and subtropical regions. Recognizable by its white markings and preference for urban habitats, this mosquito breeds in standing water near human dwellings. A promising approach to combat the proliferation of mosquitoes is the use of smart traps, equipped with advanced technologies to attract, capture, and monitor them. The most significant results include 97% accuracy in detecting Aedes aegypti, 100% accuracy in identifying bees, and 90.1% accuracy in classifying butterflies in the laboratory. Field trials successfully validated and identified areas for continued improvement. The integration of technologies such as Internet of Things (IoT), cloud computing, big data, and artificial intelligence has the potential to revolutionize pest control, significantly improving mosquito monitoring and control. The application of machine learning (ML) algorithms and computer vision for the identification and classification of Aedes aegypti is a crucial part of this process. This article proposes the development of a smart trap for selective control of winged insects, combining IoT devices, high-resolution cameras, and advanced ML algorithms for insect detection and classification. The intelligent system features the YOLOv7 algorithm (You Only Look Once v7) that is capable of detecting and counting insects in real time, combined with LoRa/LoRaWan connectivity and IoT system intelligence. This adaptive approach is effective in combating Aedes aegypti mosquitoes in real time.