bluuebunny/crossref_metadata_2025_split huggingface dataset:
TRPS1 Immunohistochemistry in Salivary Gland Neoplasms: Analysis on Cytology Cell Blocks and Surgical Follow‐Up Correlation
Authors: Geetha Saroja Devi , Ali Amr , Sheikh‐Fayyaz Silvat , Gimenez Cecilia , Chau Karen , Das Kasturi , Rosca Oana C. 
Published: December 2024

ABSTRACTIntroductionIn this study we aim to analyze the TRPS1 immunostaining of salivary gland tumors (SGT) on cytology cell blocks and compare the staining pattern on subsequent surgical resections.MethodsMalignant SGTs, oncocytomas and basal cell adenomas diagnosed on fine needle aspiration were retrieved from 2019 to 2021 database. Cases with surgical follow‐up were selected. TRPS1 staining was performed on cytology cell blocks and surgical specimens. Scoring was interpreted by two pathologists independently.ResultsOur cohort comprised of 58 cases: 45 malignant and 13 benign. TRPS1 scoring was interpreted for 44 cytology and 51 surgical cases. 14 cytology cases lacked tumor cells on deeper levels. For 7 cases, surgical blocks were not retrievable. TRPS1 positivity for cytology and surgical cases were 52% and 47% respectively. In the malignant cohort, TRPS1 was positive in 21/32 (66%) cytology cases and 21/43 (56%) surgical cases. All cases of basal cell adenocarcinoma, carcinoma ex pleomorphic adenoma and salivary duct carcinoma were TRPS1 positive on cytology. All cases of adenoid cystic carcinoma and acinic cell carcinoma were TRPS1 positive on surgical resections. In the benign cohort, TRPS1 was positive in 2/12 (17%) cytology cases; however, none of the surgically resected benign cases showed reactivity (0/8). Cytology‐surgical correlation of TRPS1 staining was done in 37 cases. We found 21 concordant and 16 discordant cases. Discordance was highest in mucoepidermoid carcinoma.ConclusionTRPS1 is not an entirely specific marker for breast carcinoma. TRPS1 positivity was noted in a substantial number of salivary gland malignant neoplasms. Cases demonstrating discordance in TRPS1 staining pattern on cytology‐surgical correlation warrant further exploration.
Ruthenium Nitrosyl Porphyrins Coordinated with Aryloxides Containing Internal Hydrogen Bonds
Authors: Warhausen Adam J. , Zink Jeremy R. , Ross Bradley J. , Ramuglia Anthony R. , Londoño‐Salazar Jennifer , Shaw Michael J. , Richter‐Addo George B. 
Published: December 2024

AbstractThe synthesis, characterization, and redox behavior of aryloxide complexes containing an increasing number of internal hydrogen bonds (OEP)Ru(NO)(OArxH) (OEP=octaethylporphyrinato dianion; x=0, 1, 2) are reported. These nitrosyl aryloxide compounds were characterized by X‐ray crystallography, IR and 1H NMR spectroscopy. The IR spectra displayed υNO frequencies in the 1823–1843 cm−1 range with compounds possessing more internal hydrogen bonds demonstrating higher υNO frequencies due to diminished π‐backdonation to the Ru−NO fragment. Comparison of the distinct υNH and δN−H signals in the IR and 1H NMR spectra of the free and complexed OAr1H/OAr2H ligands support the notion of additional electron density being removed via intramolecular hydrogen bonding. Results of DFT calculations on the (porphine)Ru(NO)(OArxH) models (porphine=unsubstituted porphyrin) reveal that the HOMOs of these complexes have significant axial ligand contributions, whereas the HOMOs of the five‐coordinate [(porphine)RuNO)]+ cation resides mostly on the equatorial porphyrin macrocycle. The electrochemical results of these (OEP)Ru(NO)(OArxH) complexes in CH2Cl2 reveal first oxidations that occur at increasingly positive potentials when more internal hydrogen bonds are present. Based on the DFT and preliminary IR spectroelectrochemical results, we propose that the electrooxidations result in eventual dissociation of the axial aryloxide ligands.
A Green Synthetic Approach to Construct C2‐Quaternary Indolin‐3‐Ones at Room Temperature via Regioselective Oxidative Dearomatization of Indoles
Authors: Bhattacharjee Pinaki , Dey Sudip , Kar Salini , Rafi Mohammed , Sunnapu Prasad , Jaisankar Parasuraman 
Published: December 2024

AbstractA new synthetic strategy for the construction of C2‐quaternary indole for the formation of Indolin‐3‐ones has been explored via indium(III) trifluoromethansulphonate catalyst at room temperature with TBHP as a green oxidant in water. This approach for the oxidative dearomatization process allows for the production of the natural product Halichrome A and a broad range of C2‐arylated Indolin‐3‐ones under a milder condition in very good yields. The oxidative self‐dimerization and self‐trimerization of various indole derivatives have also been achieved under the same conditions.
Sex‐based differences in swimming performance in 10‐years‐old‐and‐under athletes in short course national competition
Authors: Brown Gregory A. , Shaw Brandon S. , Shaw Ina 
Published: December 2024

AbstractThe need for sex‐segregated youth swimming is debated. A previous report indicates that male swimmers aged 10‐and‐under are 1%–2% faster than females in long course freestyle, butterfly, backstroke, and individual medley (IM), but not breaststroke events. Another report indicates that at age 10 males are 1%–2.5% faster than females in long course freestyle events. However, there are no evaluations for short course competitions. Therefore, the top eight performances for both sexes from the National Club Swimming Association Age Group Championships (a short course meet) for the years 2016–2023 in the 10‐and‐under age group were analyzed. Males were 1.16%–2.63% faster (p < 0.05; effect sizes 0.376–0.596) than females in the 50 yards (yd; 45.7 m), 100 yd (91.4 m), and 200 yd (182.9 m) freestyle, 100 yd backstroke, 50 yd breaststroke, 100 yd butterfly, and 100 and 200 yd IM. There were no significant sex‐based differences in the 500 yd (457.2 m) freestyle, 50 yd backstroke, 100 yd breaststroke, or 50 yd butterfly. The individual fastest time for a female was faster than for a male in the 50, 100, and 500 yd freestyle, 50 and 100 yd backstroke, 50 and 100 yd butterfly, and 100 yd IM. Although in eight out of 12 events the individual fastest times were from females, in eight out of 12 events the average male times were significantly faster. The present data suggest that although some exceptional individual 10‐and‐under female swimmers do exist, their performance is not representative of the typical sex‐based differences in swimming performance.
Design of Hybrid Renewable Energy Systems: Integrating Multi‐Objective Optimization Into a Multi‐Criteria Decision‐Making Framework
Authors: Mathaba Tebello Ntsiki Don , Abo‐Al‐Ez Khaled 
Published: December 2024

ABSTRACTResearch into hybrid renewable energy systems (HRESs) fulfills the need for the development of sustainable and environmentally friendly energy systems to supply house‐holds. The design of HRESs is a challenging endeavor requiring the optimization of multiple objectives considered over multiple criteria. This paper presents a new multi‐criteria decision‐making framework (MCDM) to automate the design. The proposed framework initially uses a metaheuristic multi‐objective (MO) optimization algorithm to generate optimal candidate configurations and then objectively evaluates candidates to select the best configuration. A combination of the MO particle swarm optimization and a newly developed MO leaders‐and‐follower algorithms (MO‐LaF/PSO) is used to generate optimal configurations based on minimal levelized cost of energy (LCOE), renewable energy (RE) power abandonment, and CO2 emissions, while maintaining an acceptable level of reliability. The evaluation phase applies the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) ranking method that uses objective criteria weights calculated using MEREC (MEthod based on the Removal Effects of Criteria). This method is applied to a case‐study of an off‐grid Wind/PV/Diesel/Battery HRES. The results reveal that this newly proposed framework generates a unique top‐ranking configuration with an LCOE of 0.199 $/kWh, 0% wastage of RE, and 982 tons of CO2.
Unlocking the Potential: How Flavonoids Affect Angiogenesis, Oxidative Stress, Inflammation, Proliferation, Invasion, and Alter Receptor Interactions in Endometriosis
Authors: Goleij Pouya , Khandan Mohanna , Khazeei Tabari Mohammad Amin , Sanaye Pantea Majma , Alijanzadeh Dorsa , Soltani Afsaneh , Hosseini Zahra , Larsen Danaé S. , Khan Haroon , Kumar Alan Prem , Daglia Maria 
Published: December 2024

ABSTRACTEndometriosis, though not classified as a carcinogenic condition, shares features such as oxidative stress, migration, invasion, angiogenesis, and inflammation with tumor cells. This study aims to review the effects of flavonoids on these processes and their molecular mechanisms in preventing and treating endometriosis. A comprehensive review was conducted, involving a literature search in online databases using keywords like “endometriosis,” “endometrioma,” and “flavonoid.” Two authors screened the literature based on predefined criteria, and the selected studies were summarized in a structured data extraction table. Studies reviewed showed that various flavonoids impact key processes in endometriosis, including angiogenesis, inflammation, oxidative stress, and invasiveness. Flavonoids such as 2′,7'‐dichlorodihydrofluorescein diacetate (H2DCF‐DA), naringenin, apigenin, myricetin, 5,7‐dimethoxyflavone (DMF), chrysin, and 6,8‐diprenylorobol were found to induce oxidative stress. Xanthohumol, isoliquiritigenin, and luteolin demonstrated effects on angiogenesis. Apigenin, isoliquiritigenin, and luteolin exhibited anti‐inflammatory properties. Additionally, 3,6‐dihydroxyflavone, isoliquiritigenin, and naringenin displayed anti‐invasive activities. Flavonoid–receptor interactions further enhance their therapeutic potential in endometriosis management. Flavonoids such as nobiletin, chrysin, and daidzein modulate PPARγ and PPARα, reducing inflammation, promoting apoptosis, and improving lipid metabolism. These interactions regulate critical pathways in angiogenesis and immune responses. Additionally, flavonoids impact the aryl hydrocarbon receptor (AhR), with compounds like resveratrol inhibiting cell proliferation and cholesterol biosynthesis, further suppressing lesion growth. The ability of flavonoids like quercetin and kaempferol to antagonize NR4A1 leads to reduced cell proliferation and oxidative stress in endometriotic tissues. These findings offer insights into the mechanisms through which specific flavonoids modulate angiogenesis, inflammation, oxidative stress, and invasiveness in endometriosis. By targeting receptors such as PPARs, AhR, and NR4A1, flavonoids demonstrate the capacity to modulate both metabolic and inflammatory pathways, offering a multifaceted approach to managing endometriosis. Flavonoids can selectively target pathophysiologic molecules and pathways implicated in the condition. Consequently, leveraging the therapeutic attributes of flavonoids could lead to novel strategies for managing endometriosis.
Factors That Affect the Adoption of Fertilizer Among Cocoa Farmers in Developing Countries: A Review
Authors: Wokibula Rebecca Alice , Dentzman Katherine , Akitwine Francis , Mtama Johnson Godlove , Mbeiza Moureen , Burras C. Lee 
Published: December 2024

AbstractSub‐Saharan Africa's adoption of inorganic fertilizer lags behind other developing nations, creating limitations for small‐holder cocoa producers. Using the Diffusion of Innovations (DOI) Theory, articles assessing inorganic fertilizer (non)adoption by cocoa producers in Sub‐Saharan Africa are reviewed. Factors influencing adoption fell into two major categories: socioeconomic characteristics of the potential adopter and characteristics of the innovation itself. Farm income, access to credit, labor requirements, and fertilizer price/availability are especially influential. Future studies and outreach efforts to consider the interplay of many personal, agronomic, and technological factors when promoting fertilizer adoption in cocoa farming are encouraged.
Using Routinely Collected Health Data to Estimate the Prevalence of Alzheimer's Disease and Potentially Modifiable Risk Factors in Colombia
Authors: Salazar‐Londoño Salomón , Silva‐Buriticá Cristina , Herrera‐Velez Laura , Rosselli Diego 
Published: December 2024

ABSTRACTObjectiveWith an increasing prevalence, Alzheimer's Disease (AD) is the most common cause of dementia. However, a percentage of potentially modifiable cases have been reported. This article describes the prevalence of four of these potentially modifiable risk factors: hearing loss, diabetes mellitus (DM), obesity, and hypertension.MethodsDescriptive cross‐sectional study with data from 2018 to 2022, using the Colombian health system database SISPRO. The population of this study consisted of all people within the age range 50–100 with a main diagnosis of AD according to the ICD‐10 codes. Subjects were divided by decades, and the prevalence ratio (PR) for the outcome of AD and each of its potentially modifiable risk factors was then calculated and adjusted by age using the Mantel‐Haenszel formula.Results167,556 cases of AD were identified, with 66.4% being females. Peak age was in octogenarians, and the five‐years period prevalence for people older than 50 was 12.6 cases/1000 people. The PRs showed a positive association for all risk factors, except obesity. Following age correction, obesity's PR value shifted to positive in males and overall population but remained negative for females. The highest post‐correction PR in the overall population was hypertension (1.44), followed by DM (1.34), hearing loss (1.31) and obesity (1.12). Notably, PRs had a greater magnitude in younger and male age groups.ConclusionThe results of this study are consistent with the fact that the prevalence of potentially modifiable risk factors is higher within the group of people with AD as their main diagnosis.
Common mycorrhizal networks enhance defense responses against pathogens in neighboring plants
Authors: Li Yingde , Wei Yong , Shen Youlei , Zheng Rongchun , Wang Yajie , Duan Tingyu , Nan Zhibiao 
Published: December 2024

AbstractArbuscular mycorrhizal (AM) fungi can establish common mycorrhizal networks (CMNs) and assemble their own phyllosphere microbiome. Although the roles of the AM fungi in soil microbiomes have been extensively studied, little is known about the role of CMNs in collective community−level changes of the phyllosphere microbiome in response to infection by pathogens. Here, we explored the impact of CMNs that linked the donor white clover (Trifolium repens L.) plants infected with the pathogen Stemphylium sarciniforme on changes in defense compounds and the phyllosphere microbiome in receiver perennial ryegrass (Lolium perenne L.). This included examining plant defense enzymes, phytohormones, phyllosphere microbiome diversity, community structure, and network complexity. The donor clover infected with the pathogen and its linked receiver ryegrass through the CMNs had a higher activity of catalase along with higher levels of abundance‐based coverage estimato (ACE), genera, and species richness in the receiver ryegrass. The pathogen infection of the donor clover altered the community structure of the phyllosphere microbiome in the receiver ryegrass, and the fungal network was significantly more complex. The activities of catalase and polyphenol oxidase exhibited a positive correlation with the alpha−diversity of the ryegrass phyllosphere fungi and also showed a significant positive relationship with the relative abundance of microbes associated with resistance to disease. In summary, this study revealed differences in the phyllosphere microbiomes of receiver ryegrass linked through CMNs to pathogen−infected and uninfected donor clovers. These changes in the phyllosphere microbiomes correlated with elevated levels of defense enzymes in the receiver ryegrass linked by white clover infected with pathogens, thus, potentially playing a role in plant defense against pathogens. These findings provide novel insights into the role of CMNs in reshaping phyllosphere microbiomes at the plant community levels under pathogen invasion.
Effect of biological additives to a putting green with low plant‐available phosphorus
Authors: Bero Nicholas J. , Soldat Douglas J. 
Published: December 2024

AbstractThe use of phosphorus fertilizers on managed turf has become discouraged, if not restricted, in many places because of the risk of pollution of surface waters posed by excessive phosphorus application. Therefore, nontraditional options to increase phosphorus availability to turf are worthy of investigation. The objectives of this study were to evaluate the effect of additions of arbuscular mycorrhizal fungi and an N‐fixing bacterium, Methylobacterium symbioticum, on the nutritional status of a mature bentgrass putting green on a sand root zone with low plant‐available phosphorus status. The biological amendments were added at various intervals after aerification, and turfgrass responses were recorded over two field seasons. Mycorrhizae did not result in increased turfgrass visual quality, clipping yield, or clipping P content. Additions of the N‐fixing bacterium resulted in increased mid‐season clipping N content and increased visual turfgrass quality, but the overall effect was relatively small. It appears that applications of M. symbioticum to turfgrass hold promise for improving nutrient use efficiency and visual turfgrass quality and deserve future exploration.
Cross‐resistance of Clarireedia jacksonii to demethylation‐inhibiting fungicides
Authors: Rether A. , Yu K. , Hsiang T. 
Published: December 2024

AbstractDollar spot, caused by Clarireedia jacksonii Salgado, is the most common turf disease in Eastern North America. It is often managed by repeat applications of demethylation‐inhibiting (DMI) fungicides, and decreased sensitivity to the DMI, propiconazole, has been reported. Cross‐resistance, where an organism shows resistance to multiple pesticides, was evaluated in lab studies for C. jacksonii starting almost 30 years ago with four DMI fungicides available at that time. The purpose of this study was to compare sensitivity among 20 isolates of C. jacksonii (low‐to‐high resistance) to 12 DMI fungicides. EC50 values (effective concentration for 50% inhibition of hyphal growth) were generated for each fungicide by isolate combination, and log10 transformations of these values were subjected to pairwise correlation analysis, giving R‐values ranging from 0.60 to 0.99 (all p ≤ 0.05). This suggested that there is significant cross‐resistance in C. jacksonii among the 12 DMI fungicides tested, ranging from partial (mefentrifluconazole and epoxiconazole) to almost complete.
Theoretical investigation of structure and electronic properties in Cisplatin‐citrate complexes
Authors: Oopkaew Lipika , Injongkol Yuwanda , Kungwan Nawee , Rungrotmongkol Thanyada 
Published: December 2024

AbstractCisplatin (CDDP) is an effective Platinum (Pt) based anticancer drug used in chemotherapy. However, its effectiveness is limited due to its instability in solvents, along with the side effects it causes due to DNA damage. Nanoparticles (NPs) were developed in vitro to address these issues by loading CDDP into various types of NPs, including metal, lipid, and biological NPs. Citrate was employed as a biocompatible compound in nanomedicine to reduce cytotoxicity and enhance stability. In our study, the physicochemical and electronic properties of CDDP and citrate have been investigated using density functional theory (DFT), with a comparison of their behavior in water and DMSO. Additionally, TD‐DFT was applied to analyze the UV–Vis spectra results. Six complexes have been proposed to better understand the interaction between citrate and CDDP. The results demonstrated that the CDDP could form stable complexes with citrate in both water and DMSO, and the considered complexes exhibited UV–Vis spectra within the experiment range. The frontier orbitals, electron densities mapping, and electrostatic potential analysis revealed that complex 5, where citrate di‐substituted on two chlorides, is the most likely and effective complex. In summary, our investigation sheds light on the potential of CDDP‐citrate complexes to address the limitations of CDDP, offering insights into their stability and interaction in solvents and highlighting the promising efficacy of specific complex formations for future therapeutic applications.
SeqDPI: A 1D‐CNN approach for predicting binding affinity of kinase inhibitors
Authors: Mishra Vinay Priy , Singh Yogendra Narain , Khan Feroz , Dutta Malay Kishore 
Published: December 2024

AbstractPredicting drug target binding affinity has huge relevance in Modern drug discovery and drug repositioning processes which assist doctors to come up with new drugs or even use the existing drugs for new target proteins. In silico models, using advanced deep learning techniques could further assist these prediction tasks by providing most prominent drug target pairs. Considering these factors, a deep learning based algorithmic framework is developed in this study to support drug target interaction prediction. The proposed SeqDPI model extract the relevant drug and protein features from the one dimensional Sequential representation of the dataset considered using optimized CNN networks that deploy convolutions on varying length of amino acid subsequence's to capture hidden pattern, the convolved drug‐ protein features obtained are then used as an input to L2 penalized feed forward neural network which matches the local residue patterns in protein classes with molecular fingerprints of drugs to predict the binding strength for all drug target pairs. The proposed model reduces the convolution strain typically encountered in existing in silico models that utilize complex 3D structures of drug protein datasets. The result shows that the SeqDPI model achieves a mean square error MSE of (0.167) across cross validation folds, outperforming baseline models such as KronRLS (0.406), Simboost (0.226), and DeepPS (0.214). Additionally, SeqDPI attains a high CI score of 0.9114 on the benchmark KIBA dataset, demonstrating its statistical significance and computational efficiency compared to existing methods. This gives the relevance and effectiveness of SeqDPI model in accurately predicting binding affinities while working with simpler one‐dimensional data, making it a robust and computationally cost‐effective solution for drug‐target interaction prediction.