bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Energy Efficiency for Residential Buildings Using Supervised Machine Learning Algorithms
Authors: Mahmood Tahir , Asif Muhammad
Published: October 2024

In the era of digitalization, the large availability of data and innovations in machine learning algorithms provide new potential to improve the prediction of energy efficiency in buildings. The building sector research in the Kingdom of Saudi Arabia (KSA) lacks actual/measured data-based studies as the existing studies are predominantly modeling-based. The results of simulation-based studies can deviate from the actual energy performance of buildings due to several factors. A clearer understanding of building energy performance can be better established through actual data-based analysis. This study aims to predict the energy efficiency of residential buildings in the KSA using supervised machine learning algorithms. It analyzes residential energy trends through data collected from an energy audit of 200 homes. It predicts energy efficiency using five supervised machine learning algorithms: ridge regression, least absolute shrinkage and selection operator (LASSO) regression, a least angle regression (LARS) model, a Lasso-LARS model, and an elastic net regression (ENR) model. It also explores the most significant explanatory energy efficiency variables. The results reveal that the ENR model outperforms other models in predicting energy consumption. This study offers a new and prolific avenue for the research community and other building sector stakeholders, especially regulators and policymakers.
Conceptual Design Study of a Coffee Stem Gasification Scheme in the Context of a Biorefinery
Authors: Guerrero-Martin Camilo Andrés , Prieto-Moreno Leyder Alejandro , Arturo-Calvache Jaime Eduardo , Camacho-Galindo Stefanny , Guerrero-Martin Laura Estefanía , Guerrero William Alberto , Ando Junior Oswaldo Hideo , Arevalo John Carlos , Lucas Elizabete Fernandes
Published: October 2024

A conceptual design of coffee stem biomass gasification was developed using the Aspen Plus process simulator, which was analyzed based on energy criteria such as the lower heating value of the produced synthesis gas and cold gas efficiency. The results yielded a lower heating value of 5.07 kJ/MJ, with a cold gas efficiency of 77.45% and a yield of 2.75 kg gas/kg biomass, all operating under optimal conditions with studied parameters including an air-to-biomass ratio between 1.8 and 2.5, gasifying agent temperature of 260 °C, and biomass moisture content below 10%. A sensitivity analysis was conducted on the formation of the most important compounds for synthesis gas quality (H2, CO, CO2, H2O, CH4). This involved understanding the reactions occurring throughout the gasification reactor and evaluating process parameters such as feed moisture content, gasification section temperature, and the ratio between feed and gasifying agent flows to optimize the process with the aim of improving product quality and reducing residue formation. The simulation scheme was validated against experimental data, yielding results consistent with reality. This contributed valuable information towards process optimization for projects targeting the Colombian coffee sector, paving the way for future gasifier designs tailored to the quantity of raw material to be processed.
Analysis of the Arc Quenching System of an Arrester Operation Based on a Flow Ultrasound Generator
Authors: Apolinskiy Matvey I. , Frolov Vladimir Ya. , Sivaev Alexander D. , Enkin Evgeniy Y.
Published: October 2024

Flow ultrasound generators are devices that emit high-frequency sound waves due to the hydrodynamic instability of the supersonic flow. In the electric power industry, such generators are used in arc quenching systems of high-voltage gas blast circuit breakers. The design of the flow ultrasound generator includes a nozzle and a hollow cylindrical resonator. Self-oscillations of the sealing waves occur when a supersonic gas jet collides with a resonator. This article is devoted to the analysis of the arrester operation, which has design features of flow ultrasound generators. The paper includes both experimental investigations of the proposed spark gap arrester design and mathematical modeling of the processes occurring in it. A description of the methods used is presented, and a comparison of the time dependences of currents and voltages obtained as a result of experimental studies and as a result of calculations is performed in the next section. The calculation results include oscillograms of the voltage and current, and the plasma temperature distribution in the arrester chamber at different moments of time. The investigations show that the presence of a nozzle and resonator leads to an intensification of the gas dynamic effect on the electric arc.
An Intrusion Detection System for 5G SDN Network Utilizing Binarized Deep Spiking Capsule Fire Hawk Neural Networks and Blockchain Technology
Authors: Nayak Nanavath Kiran Singh , Bhattacharyya Budhaditya
Published: October 2024

The advent of 5G heralds unprecedented connectivity with high throughput and low latency for network users. Software-defined networking (SDN) plays a significant role in fulfilling these requirements. However, it poses substantial security challenges due to its inherent centralized management strategy. Moreover, SDN confronts limitations in handling malicious traffic under 5G’s extensive data flow. To deal with these issues, this paper presents a novel intrusion detection system (IDS) designed for 5G SDN networks, leveraging the advanced capabilities of binarized deep spiking capsule fire hawk neural networks (BSHNN) and blockchain technology, which operates across multiple layers. Initially, the lightweight encryption algorithm (LEA) is used at the data acquisition layer to authenticate mobile users via trusted third parties. Followed by optimal switch selection using the mud-ring algorithm in the switch layer, and the data flow rules are secured by employing blockchain technology incorporating searchable encryption algorithms within the blockchain plane. The domain controller layer utilizes binarized deep spiking capsule fire hawk neural network (BSHNN) for real-time data packet classification, while the smart controller layer uses enhanced adapting hidden attribute-weighted naive bayes (EAWNB) to identify suspicious packets during data transmission. The experimental results show that the proposed technique outperforms the state-of-the-art approaches in terms of accuracy (98.02%), precision (96.40%), detection rate (96.41%), authentication time (16.2 s), throughput, delay, and packet loss ratio.
Spatiotemporal Analysis of Land Use and Land Cover Dynamics of Dinderesso and Peni Forests in Burkina Faso
Authors: Millogo Alphonse Maré David , Tankoano Boalidioa , Neya Oblé , Folega Fousseni , Wala Kperkouma , Hackman Kwame Oppong , Namoano Bernadin , Batawila Komlan
Published: October 2024

The sustainable management of protected areas has increasingly become difficult due to the lack of updated information on land use and land cover transformations caused by anthropogenic pressures. This study investigates the spatiotemporal dynamics of the Dinderesso and Peni classified forests in Burkina Faso from 1986 to 2022. First, a data driven method was adopted to investigate these forests degradation dynamics. Hence, relevant Landsat images data were collected, segmented, and analyzed using QGIS SCP plugin Random Forest algorithm. Ninety percent of the overall adjusted classification accuracies were obtained. The analysis also showed significant degradation and deforestation with high wooded vegetation classes such as clear forest and wooded savannah (i.e., tree savannah) converging to lower vegetation classes like shrub savannah and agroforestry parks. A second investigation carried out through surveys and field trips revealed key anthropogenic drivers including agricultural expansion, demographic pressure, bad management, wood cutting abuse, overexploitation, overgrazing, charcoal production, and bushfires. These findings highlight the critical need for better management to improve these protected areas.
Utilizing Clinical Transformation Criteria for Prognostic Stratification in Follicular Lymphoma Prior to Initial Immunochemotherapy
Authors: Hori Yoshikazu , Hosoi Hiroki , Hiroi Takayuki , Wan Ke , Murata Shogo , Morimoto Masaya , Mushino Toshiki , Nishikawa Akinori , Sonoki Takashi
Published: October 2024

Background: Although the prognosis of follicular lymphoma (FL) has improved, some patients experience early disease progression, including progression of disease within 24 months (POD24). Histological transformation is a critical event in FL. However, the heterogeneity of FL tumors makes it challenging to diagnose transformation accurately. We retrospectively applied the clinical transformation criteria used for FL transformation assessments at relapse or disease progression to conduct transformation assessments before the initial immunochemotherapy. Methods: Sixty-six FL patients who first received immunochemotherapy between January 2009 and February 2023 at our institution were selected. Twenty-three were clinical-transformation-positive (CLT+). Results: The progression-free survival (PFS) rate of the CLT+ patients was significantly lower than that of the clinical-transformation-negative (CLT−) patients. In the POD24 assessment subgroup, the CLT+ patients had a higher incidence of POD24 than the CLT− patients. There was no significant difference in PFS between the patients treated with CHOP-like regimens and those treated with bendamustine regimens. In the CHOP-like group, the CLT+ patients exhibited significantly lower PFS than the CLT− patients. In the bendamustine group, the clinical transformation did not affect PFS. Conclusion: Clinical transformation criteria may be useful for the prognostic stratification of FL prior to immunochemotherapy. Additionally, they may serve as predictors of POD24.
The Impact of COVID-19 on the Fama-French Five-Factor Model: Unmasking Industry Dynamics
Authors: O’Donnell Niall , Shannon Darren , Sheehan Barry , Ashraf Badar Nadeem
Published: October 2024

This analysis investigates the performance and underlying dynamics of the Fama–French Five-Factor Model (FF5M) in the context of the COVID-19 pandemic, exploring its implications on the U.S. stock market across 30 industries. Our findings reveal marked shifts in the significance of factors. The SMB (size) gained in strength, while the HML (value) factor rose and fell in response to shifting flight-to-quality, liquidity, and inflation concerns. Both the RMW (profitability) and CMA (investment) factors saw a decline in their overall significance during the pandemic. Our results illustrate the oscillation of investor preferences from 2018 to 2023, capturing three distinct periods: pre-COVID-19, COVID-19, and post-COVID-19.
Identification of Potential Growth-Related Proteins in Chick Vitreous during Emmetropization Using SWATH-MS and Targeted-Based Proteomics (MRMHR)
Authors: Cheung Jimmy Ka-Wai , Li King-Kit , Zhou Lei , To Chi-Ho , Lam Thomas Chuen
Published: October 2024

The vitreous humor (VH) is a transparent gelatin-like substance that occupies two-thirds of the eyeball and undergoes the most significant changes during eye elongation. Quantitative proteomics on the normal growth period in the VH could provide new insights into understanding its progression mechanism in the early stages of myopia. In this study, a data-independent acquisition (SWATH-MS) was combined with targeted LC-ESI-MS/MS to identify and quantify the relative protein changes in the vitreous during the normal growth period (4, 7, 14, 21 and 28 days old) in the chick model. Chicks were raised under normal growing conditions (12/12 h Dark/light cycle) for 28 days, where ocular measurements, including refractive and biometric measurements, were performed on days 4 (baseline), 7, 14, 21 and 28 (n = 6 chicks at each time point). Extracted vitreous proteins from individual animals were digested and pooled into a left eye pool and a right pool at each time point for protein analysis. The vitreous proteome for chicks was generated using an information-dependent acquisition (IDA) method by combining injections from individual time points. Using individual pool samples, SWATH-MS was employed to quantify proteins between each time point. DEPs were subsequently confirmed in separate batches of animals individually on random eyes (n = 4) using MRMHR between day 7 and day 14. Refraction and vitreous chamber depth (VCD) were found to be significantly changed (p < 0.05, n = 6 at each time point) during the period. A comprehensive vitreous protein ion library was built with 1576 non-redundant proteins (22987 distinct peptides) identified at a 1% false discovery rate (FDR). A total of 12 up-regulated and 26 down-regulated proteins were found across all time points compared to day 7 using SWATH-MS. Several DEPs, such as alpha-fetoprotein, the cadherin family group, neurocan, and reelin, involved in structural and growth-related pathways, were validated for the first time using MRMHR under this experimental condition. This study provided the first comprehensive spectral library of the vitreous for chicks during normal growth as well as a list of potential growth-related protein biomarker candidates using SWATH-MS and MRMHR during the emmetropization period.
Novel Indirect Antioxidant Activity Independent of Nrf2 Exerted by Lactic Acid Bacteria
Authors: Sato Ayaka , Watanabe Asami , Muraki Kyoji , Kimoto-Nira Hiromi , Kobayashi Makoto
Published: October 2024

In recent years, the health benefits of lactic acid bacteria have garnered attention, but their antioxidant activity remains relatively underexplored. We have been analyzing the antioxidant activities of various dietary phytochemicals by assessing their ability to mitigate oxidative stressor-induced toxicity in zebrafish larvae through pretreatment. In this study, the antioxidant activities of 24 strains of heat-killed lactic acid bacteria from various origins were examined using this zebrafish assay system. The results revealed that all 24 strains possessed antioxidant activity that reduces hydrogen peroxide toxicity. Further detailed analysis using the H61 strain, which exhibited the strongest activity, showed that no direct antioxidant activity was observed in the assay system, suggesting that the detected antioxidant activity was entirely indirect. Moreover, it was found that pretreatment of zebrafish larvae with the H61 strain for more than 6 h was required to exert its antioxidant activity. This duration was similar to that required by dietary antioxidants that activate the Keap1-Nrf2 pathway, suggesting potential involvement of this pathway. However, analysis using Nrf2-knockout zebrafish revealed that the antioxidant activity of strain H61 is independent of Nrf2, indicating that it represents a novel indirect antioxidant activity that does not involve the Keap1-Nrf2 pathway. To further characterize this activity, the ability to mitigate the toxicity of oxidative stressors other than hydrogen peroxide was examined. The results indicated that while the toxicity of tert-butyl hydroperoxide was reduced, unlike with the Keap1-Nrf2 pathway, it was not effective in counteracting the toxicity of paraquat or arsenite, which generate superoxide radicals. In conclusion, we have identified a novel indirect antioxidant activity in lactic acid bacteria.
Novel Chimeric Peptides Based on the Enolase Peptide Antigen (CEP-1) Bearing Three Post-Translational Modifications (Citrullination, Homocitrullination and Acetylation) for Determining the Diagnosis and Severity of Rheumatoid Arthritis
Authors: Gómara María José , Sarmiento-Monroy Juan C. , Castellanos-Moreira Raul , Gómez-Puerta José A , Sanmartí Raimon , Haro Isabel
Published: October 2024

With the aim of improving the uncertainties associated with the correct diagnosis of seronegative rheumatoid arthritis (RA) and identifying those at risk of developing interstitial lung disease (ILD), we have designed new peptide antigens bearing three post-translational modifications (PTMs) (citrulline, homocitrulline and acetyl-lysine) related to RA that could complement existing tests based on anti-citrullinated peptide/protein antibodies (ACPAs). Several chimeric peptides were synthesized and comparatively tested as antigens in ELISAs with two cohorts of sera: 178 RAs and 110 healthy blood donors. The results indicated that although chimeric peptides containing all three PTMs and vimentin and enolase domains do not significantly outperform existing ACPA tests in terms of sensitivity and specificity, they show potential to complement current assays, especially when detecting antibodies in some seronegative patients. Furthermore, the presence of these autoantibodies significantly identified patients with RA and ILD. We can conclude that the identification of specific autoantibody profiles using synthetic antigens containing peptide domains derived from proteins present in the human joint could help in the early detection of the risk of ILD in patients with RA and be useful for adapting follow-up strategies and guiding decisions during treatment.
Paraoxonase-1 as a Cardiovascular Biomarker in Caribbean Hispanic Patients Treated with Clopidogrel: Abundance and Functionality
Authors: Monero-Paredes Mariangeli , Santiago Ednalise , Carrasquillo-Carrion Kelvin , Renta Jessicca Y. , Rogozin Igor B. , Roche-Lima Abiel , Duconge Jorge
Published: October 2024

Clopidogrel, a prescription drug to reduce ischemic events in cardiovascular patients, has been extensively studied in mostly European individuals but not among Caribbean Hispanics. This study evaluated the low abundance and reduced activity of paraoxonase-1 (PON1) in clopidogrel-resistant patients as a predictive risk biomarker of poor responders and disease severity in this population. Thirty-six patients on clopidogrel (cases divided into poor and normal responders) were enrolled, along with 11 cardiovascular patients with no clopidogrel indications (positive control) and 13 healthy volunteers (negative control). Residual on-treatment platelet reactivity unit (PRU), PON1 abundance by Western blotting, and PON1 activity by enzymatic assays were measured. PON1 genotyping and computational haplotype phasing were performed on 512 DNA specimens for two genetic loci (rs662 and rs854560). No statistical differences in mean relative PON1 abundance were found among the groups (p > 0.05). However, a significantly lower enzymatic activity was found in poor responders (10.57 ± 6.79 µU/mL) when compared to controls (22.66 ± 8.30 µU/mL and 22.21 ± 9.66 µU/mL; p = 0.004). PON1 activity among carriers of the most prevalent PON1 haplotype (AA|AA) was significantly lower than in wild types (7.90 µU/mL vs. 22.03 µU/mL; p = 0.005). Our findings suggested that PON1 is a potential biomarker of cardiovascular disease severity in Caribbean Hispanics.
Pleomorphic Parotid Adenoma in a Child Affected with Cri du Chat Syndrome: Clinical, Cytogenetic, and Molecular Analysis
Authors: Danesino Cesare , Biglioli Federico , Moneghini Laura , Valli Roberto , Olivieri Carla , Testa Barbara , Baldo Chiara , Malacarne Michela , Guala Andrea
Published: October 2024

Salivary gland pleomorphic adenoma (SGPA) is the most common type of benign epithelial tumor; it is observed more commonly in females (with a female-to-male ratio of 1.43:1), and the age at diagnosis ranges between 40 and 59 years, with only 2% of cases diagnosed before age 18. Cri du Chat (CdC) is a rare syndrome caused by deletions of various sizes in the short arm of chromosome 5. Tumors in CdC patients are extremely rare: in Danish, Spanish, Australian, and Japanese groups of cases, no tumors have been reported, while a few cases have been described among 321 CdC patients collected in Italy and Germany. These cases all involve tumors that appear at a young age. We here report the case of a parotid pleomorphic adenoma in an 8-year-old boy with CdC. Exome analysis did not identify variants certainly significant for the development of SGPA. A CGH array, analyzed both in peripheral blood and tumor samples, failed to recognize anomalies previously associated with SGPA but identified a de novo duplication in 7p15.2, which contains part of a gene, SKAP2, in which the increased copy number is associated with the development of a different type of tumor such as pancreatic duct adenocarcinoma. The assumption that the duplication in 7p15.2 is relevant for the development of SGPA in our patient implies that CGH array studies must be included early in life in routine work-ups of CdC to identify CNVs with possible pathogenic roles for tumor development. This is particularly also relevant in relation to the severely impaired possibility for patients with CdC to report discomfort or pain related to tumor development. Constitutional CNVs in addition to the deletion in 5p should also be extensively studied to verify if their presence in some patients could explain why, in these cases, tumors develop at an age younger than expected.
A Fresh Look at Islet Isolation from Rabbit Pancreases
Authors: Vasilchikova Ekaterina , Ermakova Polina , Bogomolova Alexandra , Kashirina Alena , Lugovaya Liya , Tselousova Julia , Naraliev Nasip , Kuchin Denis , Zagaynova Elena , Zagainov Vladimir , Kashina Alexandra
Published: October 2024

Islet transplantation represents a promising therapeutic approach for diabetes management, yet the isolation and evaluation of pancreatic islets remain challenging. This study focuses on the isolation of islets from rabbit pancreases, followed by a comprehensive assessment of their viability and functionality. We developed a novel method for isolating islet cells from the pancreas of adult rabbits. We successfully isolated viable islets, which were subsequently evaluated through a combination of viability assays, an insulin enzyme-linked immunosorbent assay (ELISA), and fluorescence lifetime imaging microscopy (FLIM). The viability assays indicated a high percentage of intact islets post-isolation, while the insulin ELISA demonstrated robust insulin secretion in response to glucose stimulation. FLIM provided insights into the metabolic state of the islets, revealing distinct fluorescence lifetime signatures correlating with functional viability. Our findings underscore the potential of rabbit islets as a model for studying islet biology and diabetes therapy, highlighting the efficacy of combining traditional assays with advanced imaging techniques for comprehensive functional assessments. This research contributes to the optimization of islet isolation protocols and enhances our understanding of islet functional activity dynamics in preclinical settings.
Phospholipids, Sphingolipids, and Cholesterol-Derived Lipid Mediators and Their Role in Neurological Disorders
Authors: Farooqui Akhlaq A. , Farooqui Tahira
Published: October 2024

Neural membranes are composed of phospholipids, sphingolipids, cholesterol, and proteins. In response to cell stimulation or injury, the metabolism of lipids generates various lipid mediators, which perform many cellular functions. Thus, phospholipids release arachidonic acid or docosahexaenoic acid from the sn-2 position of the glycerol moiety by the action of phospholipases A2. Arachidonic acid is a precursor for prostaglandins, leukotrienes, thromboxane, and lipoxins. Among these mediators, prostaglandins, leukotrienes, and thromboxane produce neuroinflammation. In contrast, lipoxins produce anti-inflammatory and pro-resolving effects. Prostaglandins, leukotrienes, and thromboxane are also involved in cell proliferation, differentiation, blood clotting, and blood vessel permeability. In contrast, DHA-derived lipid mediators are called specialized pro-resolving lipid metabolites (SPMs). They include resolvins, protectins, and maresins. These mediators regulate immune function by producing anti-inflammatory, pro-resolving, and cell protective effects. Sphingolipid-derived metabolites are ceramide, ceramide1-phosphate, sphingosine, and sphingosine 1 phosphate. They regulate many cellular processes, including enzyme activities, cell migration and adhesion, inflammation, and immunity. Cholesterol is metabolized into hydroxycholesterols and 7-ketocholesterol, which not only disrupts membrane fluidity, but also promotes inflammation, oxidative stress, and apoptosis. These processes lead to cellular damage.
Impacts of Different Perinatal Factors on Faecal Immune Compounds in Infants: Determination of Normal Values
Authors: Suárez Marta , Solís Gonzalo , Mantecón Laura , Gueimonde Miguel , Arboleya Silvia
Published: October 2024

The gut microbiota is a key and primary stimulus for the development of a host’s immune system. The early establishment of the gut microbiota is affected by several perinatal factors but little is known about their influence on shaping normal immune development and, consequently, on the programming of future health. The analysis of different immune compounds is well-documented in serum samples; however, their presence in faecal samples has not been studied, and this information could be valuable in early life. In this context, the authors of this study aimed to both describe the immunological faecal profile of a cohort of one-month-old infants and describe the impact of different perinatal factors, exploring possible associations between immune compounds and gut microbiota in faecal samples. Clear differences in immune profile were observed between full-term and premature infants. Breastfeeding increases IgG2, IgG4, and IgA; in addition, male babies showed some increased Igs, among other observations. Overall, the findings of this study reinforce the hypothesis that microorganisms and immune compounds interact with each other in the early neonatal gut and that understanding these interactions in depth will help us comprehend the influence of the gut microbiota on short- and long-term infant health outcomes.
Riboswitch Mechanisms for Regulation of P1 Helix Stability
Authors: Stagno Jason R. , Wang Yun-Xing
Published: October 2024

Riboswitches are highly structured RNA regulators of gene expression. Although found in all three domains of life, they are particularly abundant and widespread in bacteria, including many human pathogens, thus making them an attractive target for antimicrobial development. Moreover, the functional versatility of riboswitches to recognize a myriad of ligands, including ions, amino acids, and diverse small-molecule metabolites, has enabled the generation of synthetic aptamers that have been used as molecular probes, sensors, and regulatory RNA devices. Generally speaking, a riboswitch consists of a ligand-sensing aptamer domain and an expression platform, whose genetic control is achieved through the formation of mutually exclusive secondary structures in a ligand-dependent manner. For most riboswitches, this involves formation of the aptamer’s P1 helix and the regulation of its stability, whose competing structure turns gene expression ON/OFF at the level of transcription or translation. Structural knowledge of the conformational changes involving the P1 regulatory helix, therefore, is essential in understanding the structural basis for ligand-induced conformational switching. This review provides a summary of riboswitch cases for which ligand-free and ligand-bound structures have been determined. Comparative analyses of these structures illustrate the uniqueness of these riboswitches, not only in ligand sensing but also in the various structural mechanisms used to achieve the same end of regulating switch helix stability. In all cases, the ligand stabilizes the P1 helix primarily through coaxial stacking interactions that promote helical continuity.
Applications of Platelet Concentrates (PCs) in Regenerative Onco-Urology: A Systematic Review of Literature
Authors: Gottardo Andrea , Tulone Gabriele , Pavan Nicola , Fulfaro Fabio , Gristina Valerio , Bazan Russo Tancredi Didier , Prestifilippo Ornella , Claps Francesco , Incorvaia Lorena , Galvano Antonio , Russo Antonio , Simonato Alchiede
Published: October 2024

Objective: To assess the effectiveness of Platelet Concentrates (PCs) in the contest of Hemorrhagic, Actinic, and Radiation Cystitis, plus Urethral Obstruction or Stenosis. Eligibility criteria: Open article in English or Italian regarding in situ applications of PCs for the selected pathologies. Information sources: MEDLINE, Cochrane Library, and ELSEVIER. Risk of bias: High (and discussed). Methods for synthesis of results: Selection of relevant contents, resumed by digital tools, checked by authors and used throughout the manuscript. Included studies: 13 screened articles + 7 personal sources + 37 “extra” articles. Synthesis of results: Pre-clinical and clinical studies demonstrated substantial symptom relief, mucosal restoration, and improved growth factor levels, reducing recurrence rates and complications. However, preparation protocols and results varied among studies. Limitations of evidence: Frequent low-quality studies with mall sample size, plus heterogeneous experimental setups and nomenclature/preparations. Interpretation: PCs demonstrate promise due to their bioactive components, enhancing tissue repair and reducing inflammation with no significant adverse events. Despite positive outcomes in pre-clinical and clinical studies, variability in preparation protocols and small sample sizes, together with inconsistent results, highlight the need for high-quality research to validate PCs’ clinical efficacy and cost-effectiveness.
A Prospective Study on Risk Prediction of Preeclampsia Using Bi-Platform Calibration and Machine Learning
Authors: Zhao Zhiguo , Dai Jiaxin , Chen Hongyan , Lu Lu , Li Gang , Yan Hua , Zhang Junying
Published: October 2024

Preeclampsia is a pregnancy syndrome characterized by complex symptoms which cause maternal and fetal problems and deaths. The aim of this study is to achieve preeclampsia risk prediction and early risk prediction in Xinjiang, China, based on the placental growth factor measured using the SiMoA or Elecsys platform. A novel reliable calibration modeling method and missing data imputing method are proposed, in which different strategies are used to adapt to small samples, training data, test data, independent features, and dependent feature pairs. Multiple machine learning algorithms were applied to train models using various datasets, such as single-platform versus bi-platform data, early pregnancy versus early plus non-early pregnancy data, and real versus real plus augmented data. It was found that a combination of two types of mono-platform data could improve risk prediction performance, and non-early pregnancy data could enhance early risk prediction performance when limited early pregnancy data were available. Additionally, the inclusion of augmented data resulted in achieving a high but unstable performance. The models in this study significantly reduced the incidence of preeclampsia in the region from 7.2% to 2.0%, and the mortality rate was reduced to 0%.
The Research Progress of DNA Methylation in the Development and Function of the Porcine Placenta
Authors: Zhang Zhiyuan , Su Jiawei , Xue Jiaming , Xiao Liyao , Hong Linjun , Cai Gengyuan , Gu Ting
Published: October 2024

The pig is the most widely consumed domestic animal in China, providing over half of the meat supply in food markets. For livestock, a key economic trait is the reproductive performance, which is significantly influenced by placental development. The placenta, a temporary fetal organ, is crucial for establishing maternal–fetal communication and supporting fetal growth throughout pregnancy. DNA methylation is an epigenetic modification that can regulate the gene expression by recruiting proteins involved in gene silencing or preventing transcription factor binding. To enhance our understanding of the molecular mechanisms underlying DNA methylation in porcine placental development, this review summarizes the structure and function of the porcine placenta and the role of DNA methylation in placental development.
Synthesis, Structure, and Actual Applications of Double Metal Cyanide Catalysts
Authors: Nifant’ev Ilya E. , Ivchenko Pavel V.
Published: October 2024

Double metal cyanide (DMC) complexes represent a unique family of materials with an open framework structure. The main current application of these complexes in chemical industry is their use as catalysts (DMCCs) of the ring-opening polymerization of propylene oxide (PO), yielding branched polyols, highly demanded in production of polyurethanes and surfactants. The actual problem of chemical fixing carbon dioxide from the atmosphere gave new impetus to the development of DMCCs, which turned out to be effective in oxirane/CO2 copolymerization. In recent years, new types and formulations of DMCCs were created, so that greater understanding of the reaction mechanisms was achieved and new fields of catalytic applications were found. In the present review, we summarized background and actual information about the synthesis, structure, and mechanisms of the action of DMCCs, as well as their application in the development of new materials and fine chemicals.
Codon Bias of the DDR1 Gene and Transcription Factor EHF in Multiple Species
Authors: Zhang Zhiyong , Li Wenxi , Wang Ziyang , Ma Shuya , Zheng Fangyuan , Liu Hongyu , Zhang Xiaodong , Ding Yueyun , Yin Zongjun , Zheng Xianrui
Published: October 2024

Milk production is an essential economic trait in cattle, and understanding the genetic regulation of this trait can enhance breeding strategies. The discoidin domain receptor 1 (DDR1) gene has been identified as a key candidate gene that influences milk production, and ETS homologous factor (EHF) is recognized as a critical transcription factor that regulates DDR1 expression. Codon usage bias, which affects gene expression and protein function, has not been fully explored in cattle. This study aims to examine the codon usage bias of DDR1 and EHF transcription factors to understand their roles in dairy production traits. Data from 24 species revealed that both DDR1 and EHF predominantly used G/C-ending codons, with the GC3 content averaging 75.49% for DDR1 and 61.72% for EHF. Synonymous codon usage analysis identified high-frequency codons for both DDR1 and EHF, with 17 codons common to both genes. Correlation analysis indicated a negative relationship between the effective number of codons and codon adaptation index for both DDR1 and EHF. Phylogenetic and clustering analyses revealed similar codon usage patterns among closely related species. These findings suggest that EHF plays a crucial role in regulating DDR1 expression, offering new insights into genetically regulating milk production in cattle.
Impact of Epstein–Barr Virus Nuclear Antigen 1 on Neuroinflammation in PARK2 Knockout Mice
Authors: Cossu Davide , Tomizawa Yuji , Noda Sachiko , Momotani Eiichi , Sakanishi Tamami , Okada Hanna , Yokoyama Kazumasa , Sechi Leonardo Antonio , Hattori Nobutaka
Published: October 2024

This study aimed to explore the intricate relationship between mitochondrial dysfunction, infection, and neuroinflammation, focusing specifically on the impact of pathogenic epitopes of the Epstein–Barr Virus (EBV) nuclear antigen 1 (EBNA1) in a mouse model of mitochondrial dysfunctions. The investigation included female middle-aged PARK2−/− and C57BL/6J wild-type mice immunized with EBNA1386–405 or with active experimental autoimmune encephalomyelitis (EAE) induction by the myelin oligodendrocyte glycoprotein (MOG)35–55 peptide. The PARK2−/− mice developed more severe EAE than the wild-type mice. Following immunization with EBNA1386–405, only PARK2−/− exhibited symptoms resembling EAE. During the acute phase, PARK2−/− mice immunized with either MOG35–55 or EBNA1386–405 exhibited a similar infiltration of the T cells and macrophages in the spinal cord and decreased glial fibrillary acidic protein (GFAP) expression in the brain. However, the EBNA1386–405 -immunized PARK2−/− mice showed significantly increased frequencies of CD8a+ T cells and CD11c+ B cells, and distinct cytokine profiles in the periphery compared to the wild-type controls. These findings highlight the role of EBV in exacerbating inflammation, particularly in the context of mitochondrial deficiencies.
The Immobilization of an FGF2-Derived Peptide on Culture Plates Improves the Production and Therapeutic Potential of Extracellular Vesicles from Wharton’s Jelly Mesenchymal Stem Cells
Authors: Lee Youngseo , Lim Kyung-Min , Bong Hanbit , Lee Soo-Bin , Jeon Tak-Il , Lee Su-Yeon , Park Hee-Sung , Kim Ji-Young , Song Kwonwoo , Kang Geun-Ho , Kim Se-Jong , Song Myeongjin , Cho Ssang-Goo
Published: October 2024

The skin is an essential organ that protects the body from external aggressions; therefore, damage from various wounds can significantly impair its function, and effective methods for regenerating and restoring its barrier function are crucial. This study aimed to mass-produce wound-healing exosomes using a fragment of the fibroblast growth factor 2 (FGF2)-derived peptide (FP2) to enhance cell proliferation and exosome production. Our experiments demonstrated increased cell proliferation when Wharton’s jelly mesenchymal stem cells (WJ MSCs) were coated with FP2. Exosomes from FP2-coated WJ MSCs were analyzed using nanoparticle-tracking analysis, transmission electron microscopy, and Western blotting. Subsequently, fibroblasts were treated with these exosomes, and their viability and migration effects were compared. Anti-inflammatory effects were also evaluated by inducing pro-inflammatory factors in RAW264.7 cells. The treatment of fibroblasts with FP2-coated WJ MSC-derived exosomes (FP2-exo) increased the expression of FGF2, confirming their wound-healing effect in vivo. Overall, the results of this study highlight the significant impact of FP2 on the proliferation of WJ MSCs and the anti-inflammatory and wound-healing effects of exosomes, suggesting potential applications beyond wound healing.
Characterization and Hemocompatibility of α, β, and γ Cyclodextrin-Modified Magnetic Nano-Adsorbents
Authors: Ghaffari Sharaf Mehdi , Li Shuhui , Rowe Elyn M. , Devine Dana V. , Unsworth Larry D.
Published: October 2024

Kidney dysfunction leads to the retention of metabolites within the blood that are not effectively cleared with conventional hemodialysis. Magnetic nanoparticle (MNP)-based absorbents have inherent properties that make them amenable to capturing toxins in the blood, notably a large surface area that can be chemically modified to enhance toxin capture and the ability to be easily collected from the blood using an external magnetic field. Cyclodextrins (CDs) present a chemical structure that facilitates the binding of small molecules. However, the hemocompatibility of MNPs modified with films composed of different native types of CDs (α, β, or γ) has not yet been investigated, which is information crucial to the potential clinical application of MNPs to supplement hemodialysis. To this end, films of α-, β-, or γ-CDs were formed on MNPs and characterized. The impact of these films on the adsorbed protein structure, composition of key adsorbed proteins, and clotting kinetics were evaluated. It was found that modified MNPs did not significantly affect the secondary structure of some proteins (albumin, lysozyme, α-lactalbumin). The adsorbed proteome from platelet-poor human plasma was evaluated as a function of film properties. Compared to non-modified nanoparticles, CD-modified MNPs exhibited a significant decrease in the adsorbed protein per surface area of MNPs. The immunoblot results showed variations in the adsorption levels of C3, fibrinogen, antithrombin, Factor XI, and plasminogen across CD-modified MNPs. The hemocompatibility experiments showed that CD-modified MNPs are compatible with human whole blood, with no significant impact on platelet activation, hemolysis, or hemostasis.
In Vitro Shoot Regeneration and Multiplication of Peruvian Rocoto Chili Pepper (Capsicum pubescens Ruiz & Pav.)
Authors: Hernández-Amasifuen Angel David , Pineda-Lázaro Alexandra Jherina , Maicelo-Quintana Jorge L. , Guerrero-Abad Juan Carlos
Published: October 2024

The rocoto (Capsicum pubescens Ruiz & Pav.) (Solanaceae) is an endemic herbaceous chili pepper from Peru. Low yields of rocoto production are due to the low availability of certified seeds or the production of superior plant seedlings. Therefore, the present study aimed to establish an in vitro protocol for the regeneration and multiplication of rocoto shoots. The multiplication was carried out on shoot tips excised from rocoto seedlings germinated under in vitro conditions, and then the explants were placed on Murashigue and Skoog (MS) medium supplemented with different concentrations of 6-benzylaminopurine (BAP) and Kinetin: 0.5, 1.0, 1.5 and 2.0 mg/L. For rooting, shoots were obtained from the multiplication phase and placed under different treatments made up of MS medium supplemented with different concentrations of indole butyric acid (IBA) and naphthalene acetic acid (NAA): 0.5, 1.0, 1.5 and 2.0 mg/L. In the multiplication phase, the best results were observed with MS medium supplemented with 1.0 mg/L BAP, with 82.22% shoot development, 2.93 shoots per explant and 2.75 cm shoot length. In the rooting phase, the best results were observed with MS medium supplemented with 1.5 mg/L IBA, with 91.11% root development, 9.73 roots per explant and 6.79 cm root length. Here, we show the first evidence and tool for the in vitro regeneration and multiplication of rocoto chili pepper, which could be used for the multiplication of superior genotypes, germplasm in vitro conservation and its use in plant breeding programs.
Estimation of Periodontal Inflamed Surface Area by Salivary Lactate Dehydrogenase Level Using a Test Kit
Authors: Irie Koichiro , Sato Satsuki , Kamata Yohei , Mochida Yuki , Hirata Takahisa , Komaki Motohiro , Yamamoto Tatsuo
Published: October 2024

Background: Salivary lactate dehydrogenase (LD) levels are a feasible and useful parameter for screening periodontal diseases. The periodontal inflamed surface area (PISA) is useful to clinically assess periodontal diseases. However, PISA is difficult to calculate and PISA-compatible screening kits are required. We aimed to investigate the association between salivary LD levels, using a test kit, and PISA and PISA-Japanese and determine the feasibility and reliability of the salivary LD test kit for evaluation of periodontal status. Methods: This study included 110 patients (66.4% female, median and 25–75 percentiles of age were 66.5 and 53.0–75.0 years, respectively) who visited the Dental University Clinic in Japan. Resting saliva samples were collected from each participant and LD levels were evaluated in real time using a kit featuring an integer scale ranging from 1 to 10. PISA and PISA-Japanese were calculated using periodontal parameters. Results: The median salivary LD level was 4.0. The medians of PISA and PISA-Japanese were 46.9 and 61.0, respectively. Salivary LD levels were positively correlated with the bleeding on probing rate (r = 0.626, p < 0.001), PISA (r = 0.560, p < 0.001), and PISA-Japanese (r = 0.581, p < 0.001). Conclusions: Our results suggest that salivary LD levels assessed using the salivary LD kit showed a significantly positive correlation with PISA and PISA-Japanese. In addition, we developed the PISA estimation formula using salivary LD levels measured with a test kit, sex, and age.
The Prevalence of Sjögren’s Disease in Dental Clinics in the Netherlands Compared with the Prevalence in a Systematic Literature Review of Studies in Other Countries
Authors: Maarse Floor , Huisinga Jitse F. , Jager Derk Hendrik Jan , Brand Henk S.
Published: October 2024

Background/Objectives: Sjögren’s disease (SjD) is an autoimmune disease causing irreversible damage to the exocrine glands but can have symptoms throughout the entire body. The aim of this study is to determine the prevalence of Sjogren’s disease (SjD) in the Netherlands, compare this with the prevalence for other countries in a systematic literature review. Methods: In the first part of this study, the prevalence of SjD was determined at two academic dental clinics in the Netherlands by electronically analysing patient records. In the second part of this study, a systematic literature search was performed in PubMed. Studies in the English language reporting prevalence ratios (PRs), incidence ratios (IRs) or sufficient data to calculate these parameters were included. Population-based studies and population surveys aiming to examine an entire geographic region or using a clearly defined sampling procedure were included. Review studies were excluded. Studies that did not report sufficient data or contained no original data were excluded. Included studies were assessed using the Newcastle–Ottawa assessment scale. Results: At the dental clinic in Amsterdam, 76 SJD patients were identified among a patient population of 81941, resulting in a prevalence ratio of 93 per 100,000 (0.093%) patients. In Nijmegen, 21 SjD patients were identified in a total patient population of 14,240, resulting in a prevalence ratio of 147 per 100,000 (0.15%). Thirty-one studies were included in the systematic review. They varied in diagnostic criteria for SjD with the American-European Consensus Group (AECG) criteria being the most widely used. The reported prevalence ratio varied from 0.008% to 3.3%. The overall pooled prevalence ratio of SjD using the AECG criteria was 0.031%, while the pooled prevalence of SjD using the EU criteria was 0.029%. The overall pooled incidence ratio was 5.2 (95%CI 4.7 to 5.6) per 100,000 person-years. Conclusions: The estimated prevalence ratio of SjD in the Netherlands (0.09% to 0.15%) falls within the worldwide range but is higher than the worldwide pooled prevalence ratio.
Sustainable Organic Farming Crops in Nepal in Climate Change Conditions: Predictions and Preferences
Authors: Pechanec Vilém , Prokopová Marcela , Cudlín Pavel , Khadka Chiranjeewee , Karki Ratna , Jakubínský Jiří
Published: October 2024

In Nepal, climate change is projected to cause a rapid increase in air temperature, erratic rainfalls, and other changes that could negatively impact agricultural productivity. Given the crucial role of agriculture in household income and consumption, Nepal is particularly vulnerable to these impacts. Organic farming has the potential to enhance environmental protection and contribute positively to climate change mitigation and adaptation. This study aims to identify suitable crops for individual wards within the Dolakha district under changing climatic conditions. The EcoCrop model was applied to crops pre-selected by local small farmers to assess their suitability under both current and projected climate conditions in 2050. According to the model, the most successful crops under both current and future climate conditions were beans and colocasia, garlic, local radish, and finger millet. The modeling results were then compared to the preferences of local farmers as revealed through a questionnaire survey. Most crops selected by the model were also selected as suitable by local farmers, with beans being the exception. These findings have the potential to assist local stakeholders, including farmers, planners, and local authorities, in promoting successful organic farming by selecting suitable crops, thereby aiding the region in better adapting to expected climate change.