bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the Diagnostic Performance of MRI for Identification of Meniscal Ramp Lesions in ACL-Deficient Knees
Authors: Moteshakereh Seyed Mohammadmisagh , Zarei Hooshmand , Nosratpour Miad , Zaker Moshfegh Mana , Shirvani Proushat , Mirahmadi Alireza , Mahdavi Mahyar , Minaei Noshahr Reza , Farrokhi Mehrdad , Kazemi Seyyed Morteza 
Published: April 2024

Background:
Despite vigorous efforts to delineate the efficacy of magnetic resonance imaging (MRI) for the diagnosis of meniscal ramp lesions, there is still a great deal of uncertainty regarding its diagnostic performance. Therefore, we conducted a systematic review and meta-analysis to investigate the diagnostic performance of MRI for detecting ramp lesions in anterior cruciate ligament (ACL)-deficient knees.

Methods:
We performed a systematic search of MEDLINE via PubMed, Scopus, Web of Science, and Embase and included all articles, published before October 20, 2022, comparing the accuracy of MRI with that of arthroscopy as the gold standard for diagnosis of ramp lesions. We performed statistical analysis using Stata and Meta-DiSc software. Quality assessment of the included studies was performed using the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies-2) tool.

Results:
This meta-analysis evaluated 21 diagnostic performance comparisons from 19 original research articles (2,149 patients). The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) curve for diagnosing a ramp lesion were 0.70 (95% confidence interval [Cl], 0.66 to 0.73), 0.88 (95% Cl, 0.86 to 0.89), 6.49 (95% Cl, 4.12 to 10.24), 0.36 (95% Cl, 0.28 to 0.46), 24.33 (95% Cl, 12.81 to 46.19), and 0.88, respectively. Meta-regression using different variables yielded the same results.

Conclusions:
MRI exhibited a DOR of 24.33 and moderate sensitivity, specificity, and accuracy for diagnosing ramp lesions in ACL-deficient knees. However, arthroscopy using a standard anterolateral portal with intercondylar viewing is recommended to confirm a diagnosis of a ramp lesion.

Level of Evidence:
Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Ethanolamine and vinyl-ether moieties in brain phospholipids modulate behavior in rats
Authors: Zenika Nasrin MST , Kikuchi Shuhei , Uchimura Yasuhiro , Yoshioka Mina , Morita Shin-ya , Kobayashi Tomoya , Kinoshita Yusuke , Furusho Yoshio , Tamiaki Hitoshi , Yanagisawa Daijiro , Udagawa Jun 
Published: April 2024

Abstract

Background
Plasmalogens are brain-enriched phospholipids with a vinyl-ether bond at the sn-1 position between the glycerol backbone and alkyl chain. Previous studies have suggested that plasmalogens modulate locomotor activity, anxiety-like behavior, and cognitive functions, including learning and memory, in rodents; however, the specific moieties contributing to behavioral regulation are unknown. In this study, we examined behavioral modulation by specific phospholipid moieties by injecting rats with brain-permeable phospholipid liposomes prior to behavioral testing.
Results
To confirm that phospholipids in injected liposomes were incorporated into the brain, we first measured fluorescence intensity following intravenous injection of liposomes containing ATTO 740-labeled dioleoylphosphatidylethanolamine. We then compared the behavioral effects following injection of saline (control), egg phosphatidylcholine (PC) liposomes, or liposomes composed of egg PC and 1-stearoyl-2-docosahexaenoyl-sn-glycero-3-phosphoethanolamine (18:0–22:6 PE), 1-stearoyl-2-docosahexaenoyl-sn-glycero-3-phosphocholine (18:0–22:6 PC), 1-(1Z-octadecenyl)-2-docosahexaenoyl-sn-glycero-3-phosphoethanolamine (18:0p-22:6 PE), or 1-(1Z-octadecenyl)-2-docosahexaenoyl-sn-glycero-3-phosphocholine (18:0p-22:6 PC) into the tail vein of male rats. The time spent in the central region of the open field was significantly reduced by injection of 18:0–22:6 PE, which harbors an ester bond at sn-1, but not by 18:0p-22:6 PE, which harbors a vinyl-ether bond at sn-1, compared to saline-injected controls. Two-factor ANOVA also revealed a significant interaction effect between the hydrophilic head group (choline or ethanolamine) and the sn-1 position bond (ester or vinyl-ether) on discrimination ratio in the novel object recognition test, suggesting that substitution of an ester bond with a vinyl-ether bond at sn-1 in PE (18:0p-22:6 PE) but not in PC (18:0p-22:6 PC) can enhance recognition memory. Alternatively, there was no significant behavioral difference in the elevated plus maze or marble burying test.
Conclusions
We demonstrate that the hydrophilic moiety (head group) and sn-1 bond structure of brain plasmalogens can modulate cognitive function and locomotor activity in rodents.
Insights into Kinetics and Isotherms studies of Cadmium (II) adsorption behavior onto wood biochar from aqueous solution
Authors: Lalhruaitluanga H. , Hauhnar Lalremruata 
Published: April 2024

Abstract

Objectives: This study aims to investigate the Cd(II) adsorption from aqueous solutions via wood biochar (BC) as an adsorbent, using different parameters, adsorption isotherms, and kinetic models.
Methods: Experimental tests were conducted to study the Cd(II) adsorption on a batch mode system. The study evaluated parameters such as pH, contact time, and Cd(II) concentration. To analyze the adsorption mechanism, various isotherms were utilized including Freundlich, Langmuir, Temkin, Redlich-Peterson, Sips, Flory-Huggins, Fowler-Guggenheim, and Harkin-Jura were used. Additionally, Pseudo-first-order and Pseudo-second-order were used to study the kinetics of adsorption.
Findings: The Langmuir isotherm suggests that the maximum adsorption capacity (qmax) is 28.57 mg/g. According to this model, the metal ions are adsorbed by forming a monolayer and do not interact or compete with each other. Based on the Temkin isotherm, it can be concluded that the adsorption of Cd(II) onto BC is mainly physical in nature, as the value of heat of adsorption is less than 1.0 kcal/mol. The Redlich-Peterson and Sips isotherms indicate that the adsorption process follows the Langmuir form and further supports the predominance of monolayer adsorption pattern. The negative value of Gibbs free energy (ΔGo) suggests that the adsorption process is thermodynamically spontaneous and feasible. The Flory-Huggins and Fowler-Guggenheim isotherms indicate that the active zone of the adsorbent is occupied by adsorbate and also suggest the presence of repulsion between the adsorbate. The kinetics of the adsorption system followed a pseudo-second-order reaction rather than a pseudo-first-order reaction with an R2 of 0.999 and 0.979, respectively.
Novelty and applications: The results of various analyses indicate that the process of wood biochar adsorption is efficient and can be scaled up for the heavy metals removal from contaminated water.
Intrusion detection model based on multi-kernel approximation and multi-layer neural network
Authors: Wu Yukun , Li Hui , Chen Yunzhi , Lee Wei William 
Published: April 2024

Abstract

Aiming to address the problems of low time efficiency and poor generalization ability in support vector machine(SVM) model when dealing with large-scale network intrusions, this paper suggests a large-scale robust intrusion detection model that combines multi-layer neural network and multi-kernel approximate support vector machines. The multi-layer neural network carries out representation learning, learns the essential properties of the dataset, and performs feature reduction on the dataset. The multi-kernel approximation SVM using random Fourier characteristics to perform kernel approximation can handle large-scale datasets. The model employs the gradient descent method to train neural networks and multi-kernel SVM from start to finish. Our model was tested on three intrusion detection datasets of varying scales: NSL-KDD, UNSW-NB15, and CICIDS2017; and compared with conventional machine learning models, deep learning models, and SVM models of different variants. The experimental findings show that our model has higher classification performance and better robustness when processing large-scale datasets, and has more advantages in terms of time complexity.
Machine Learning based Image Compression by Reducing Dimensionality
Authors: Sharma Vibhor , Srivast Deepak , Kumar Lokesh , ramola jyoti , Payal Mohit , Adhikari Manoj Singh 
Published: April 2024

Abstract

As medical imaging technologies continue to proliferate and generate massive amounts of data, data compression has become increasingly important for their storage, transit, and processing in the modern world. In telemedicine practices, it is common for medical images to be sent from one site to another. It is now important to minimize image size while maintaining diagnostic information in order to transmit and keep these high-quality images. Medical images compression is a technique that helps save money on transfer and storage by advising on the use of lossy and lossless compression algorithms. Medical images compression calls for a machine learning and IOT infrastructure. Multistage PCA, the Discrete Anamorphic Stretch Transform, and PCA using the Johnson-Lindenstrauss Lemma algorithm are just a few examples of dimensionality reduction techniques used in image compression. We provide many options for decreasing the dimensionality of image data. Among these techniques are PCA using the Johnson-Lindenstrauss Lemma algorithm, Discrete Anamorphic Stretch Transform, and Multistage Principal Component Analysis. The research suggests that combining PCA based on the Johnson-Lindenstrauss lemma with Shannon-Fano coding can lead to significant compression gains.
Generalized Robust Regression techniques and adaptive cluster sampling for efficient estimation of population mean in case of Rare and Clustered Populations
Authors: Subzar Mir , Wani Shahid Ahmad , Raja T. A. , Attri Amit Kumar 
Published: April 2024

Abstract

In many situations, when field researchers are inclined to deviate from the preselected sample plan and then to include nearby or related units in the sample, adaptive cluster sampling provides a nearby complete solution. For both rare and clustered populations, Thompson has introduced the adaptive cluster sampling (ACS) as a suitable sampling method when the data is not contaminated with outliers. So keeping this thing in mind, the present study focusses on defining adaptive ratio type regression estimators using OLS, Huber M, Mallows GM, Schweppe GM and SIS GM estimation functions within the framework of ACS. Subsequently, we have proposed regression type estimators utilizing OLS, Huber M, Mallows GM, Schweppe GM and SIS GM estimation functions within the framework of ACS. In this study we have also derived the mean square error property of both the adapted and proposed estimators. To evaluate the performance of these estimators we have used both real life and simulated Poisson clustered process data sets.
DKK1 as a chemoresistant protein modulates oxaliplatin responses in colorectal cancer
Authors: Shen Che-Hung , Hsieh Chi-Che , Li Ting-Wei , Li Chun-Chun , Chen Shang-Hung , Wei You-Lin , Chiang Nai-Jung 
Published: April 2024

Abstract

Oxaliplatin is effective against colorectal cancer (CRC), but resistance hampers treatment. We found upregulated Dickkopf-1 (DKK1, a secreted protein) in oxaliplatin-resistant (OR) CRC cell lines and DKK1 levels increased by more than 2-fold in approximately 50% of oxaliplatin-resistant CRC tumors. DKK1 activates AKT via cytoskeleton-associated protein 4 (CKAP4, a DKK1 receptor), modulating oxaliplatin responses in vitro and in vivo. The leucine zipper (LZ) domain of CKAP4 and cysteine-rich domain 1 (CRD1) of secreted DKK1 are crucial for their interaction and AKT signaling. By utilizing the LZ protein, we disrupted DKK1 signaling, enhancing oxaliplatin sensitivity in OR CRC cells and xenograft tumors. This suggests that DKK1 as a chemoresistant factor in CRC via AKT activation. Targeting DKK1 with the LZ protein offers a promising therapeutic strategy for oxaliplatin-resistant CRC with high DKK1 levels. This study sheds light on oxaliplatin resistance mechanisms and proposes an innovative intervention for managing this challenge.
Topological reciprocity in 3D superconducting diodes
Authors: Moll Philip 
Published: April 2024

Abstract

The design of advanced functionality in superconducting devices usually focuses on materials engineering, either in heterostructures or in compounds of unconventional quantum materials. Here we demonstrate a different strategy to bespoke behavior by controlling the 3D shape of superconductors on the micron-scale. As a demonstration, a large superconducting diode effect is engineered solely by 3D shape design of a conventional superconductor, ion-beam deposited tungsten. Its highly efficient diode behavior appears from its triangular cross-section when vortices break time-reversal and all mirror symmetries. Yet reciprocity is observed at special field angles where the lack of symmetry would lead one to expect diode behavior. This can be understood as a topological mechanism that is robust against deformations of the triangle. Geometry and topology induce a rich internal structure due to the high-dimensional tuning parameter space of 3D structures, inaccessible to the conventional 2D design strategies in thin films.
Bovine colostrum and multidrug resistance: One Health Vision for human consumption
Authors: Jara Marisa Castro , Cardozo Camila dos Santos , Kraus Rosana Basso , Santos Pedro Rassier dos , Svenson Cristina Studzinski , Bohm Bianca Conrad , Brunh Fábio Raphael Pascoti , Nascente Patricia da Silva 
Published: April 2024

Abstract

One Health represents a holistic approach to understanding the interconnectedness of the human-animal-environment triad in the context of achieving health and well-being. In this context, surplus bovine colostrum (BC) not consumed by calves is important due to its potential nutritional value for human consumption. However, it is imperative to ensure their safety and quality to reach the market. It is important to reflect on the presence of pathogenic microorganisms and their multi-resistance to antimicrobials for use in animals and humans, which can have serious consequences for One Health. The objective here was to verify the susceptibility profile of bacteria found in BC and bovine colostrum silage to antibiotics. The strains studied cover the genera Escherichia spp., Klebsiella sp., Enterococcus sp., Staphylococcus spp. and Streptococcus sp.. Susceptibility tests were carried out using the Kirb & Bauer method following guidelines from BrCAST and CLSI (2023). Antibiotics evaluated included quinolones, penicillin, cephalosporins, carbapenems, β-lactamase inhibitors, polypeptides, aminoglycosides, glycopeptides, macrolides, oxalidinones, lincosamines, rifampins, and phenicols. Although the results indicate low overall resistance, the study highlights the presence of multi-resistant bacteria in raw BC and BC silage, highlighting the risk of transmission of these and their resistance genes to humans if rigorous processing measures are not carried out to mitigate the One Health risks.
Association between age-related macular degeneration and the gut microbiota: A two-sample Mendelian randomization analysis
Authors: He Maozhu , Nie Min 
Published: April 2024

Abstract
Objective To assess any potential associations between age-related macular degeneration (AMD) and the gut microbiota.
Methods Mendelian randomization (MR) analysis was performed on summary data from genome-wide association studies (GWASs) of the gut microbiota and AMD. The gut microbiota was considered the exposure. Instrumental variables (IVs) were identified from a GWAS involving 7,738 participants. The GWAS for AMD from European cohorts served as the outcome dataset, comprising 8,931 AMD patients and 348,936 controls.
The primary analysis employed the inverse-variance weighted (IVW) method, with sensitivity analysis conducted to assess the robustness and reliability of the MR analysis results.
Results IVW revealed significant associations between specific microbial families/genera and AMD. Notably, the family Peptococcaceae (OR=1.176, 95% CI 1.012 to 1.366, P=0.004), genus Parasutterella (OR=1.167, 95% CI 1.011 to 1.347, P=0.035), and genus Faecalibacterium (OR=1.247, 95% CI 1.071 to 1.451, P=0.034) demonstrated positive causal associations with AMD, while the class Melainabacteria(OR=0.886, 95% CI 0.789 to 0.995, P=0.041) and family Rikenellaceae (OR=0.844, 95% CI 0.726 to 0.981, P=0.027) showed negative causal associations. Sensitivity analysis did not reveal evidence of reverse causality, pleiotropy, or heterogeneity.
Conclusion Utilizing MR, we conducted a comprehensive assessment to investigate the causal effect of 412 gut microbiota species spanning from the phylum to the genus level on AMD. Our study revealed significant positive associations between specific genetic variants related to the family Peptococcaceae, genus Parasutterella, and genus Faecalibacterium and an increased risk of AMD. Our findings provide strong evidence supporting a protective role of certain genetic variants related to the class Melainabacteria and family Rikenellaceae against AMD. These results highlight a potential causal relationship between several gut microbiota taxa and AMD. However, future studies employing MR in larger cohorts and incorporating functional analyses are warranted to elucidate the underlying mechanisms by which genetic variants related to the gut microbiota influence the development of AMD.
Nested Association Mapping in Oat (Avena Sativa L.) Identifies the Location of Multiple Genes Conferring Resistance to the Crown Rust Pathogen Puccinia Coronata f. sp. Avenae
Authors: Argenta Jéssica , Roake Jeremy , Pacheco Marcelo Teixeira , Singh Davinder , Ziems Laura , Park Robert F. 
Published: April 2024

Abstract
Oat crown rust, caused by the fungus Puccinia coronata f. sp. avenae (Pca), is the most destructive foliar pathogen of oat. Almost 100 genes conferring resistance to Pca have been catalogued. However, only limited genes have been mapped, and the chromosomal location of most remains undetermined. The goals of this study were to detect the chromosomal locations of 13 catalogued Pc genes and one uncharacterized but highly effective resistance gene and to identify functions related to them. We used an A. sativa L. nested association mapping population comprising 14 biparental F2:3 families, derived from crosses between a donor carrying Pca resistance and the Pca susceptible variety ‘Swan’. A total of 2,356 F2:3 lines were phenotyped for response to pathotypes of Pca, from which the final AsNAM population of 707 individuals were selected. Based on DArT-Seq genotype data were identified 15,940 high-quality single nucleotide polymorphisms. Using the IBD mixed model, eight resistance QTL to Pca with varying phenotypic variance were identified. The locations of four previously mapped genes were confirmed (Pc38, chr7D; Pc45, chr2D; Pc46, chr3D; Pc50, chr3D), and two genes were mapped for the first time (Pc36, chr1C; Pc70, chr5D). The results revealed some families had a single dominant gene controlling resistance, while others had more complex resistance. Several genes were linked or allelic (Pc13, Pc46, and Pc50 on chr3D; Pc36 and Pc60 on chr 1C; Pc38 and Pc64 on chr 7D). 31 putative genes belonging to eight protein families related with disease resistance were identified in detected QTL regions.
A Multi-Scale Channel Attention Network with Federated Learning for Magnetic Resonance Image Super-Resolution
Authors: Liu Feiqiang , Jiang Aiwen , Chen Lihui 
Published: April 2024

Abstract

Magnetic resonance (MR) images are widely used for clinical diagnosis, whereas its resolution is always limited by some surrounding factors, and under-sampled data is usually generated during imaging. Since high-resolution (HR) MR images contribute to the clinic diagnosis, reconstructing HR MR images from these under-sampled data is pretty important. Recently, deep learning (DL) methods for HR reconstruction of MR images have achieved impressive performance. However, it is difficult to collect enough data for training DL models in practice due to medical data privacy regulations. Fortunately, federated learning (FL) is proposed to eliminate this issue by local/distributed training and encryption. In this paper, we propose a multi-scale channel attention network (MSCAN) for MR image super-resolution (SR) and integrate it into an FL framework named FedAve to make use of data from multiple institutions and avoid privacy risk. Specifically, to utilize multi-scale information in MR images, we introduce a multi-scale feature block (MSFB), in which multi-scale features are extracted and attention among features at different scales is captured to re-weight these multi-scale features. Then, a spatial gradient profile loss is integrated into MSCAN to facilitate the recovery of textures in MR images. Last, we incorporate MSCAN into FedAve to simulate the scenery of collaborated training among multiple institutions. Ablation studies show the effectiveness of the multi-scale features, the multi-scale channel attention, and the texture loss. Comparative experiments with some state-of-the-art (SOTA) methods indicate that the proposed MSCAN is superior to the compared methods and the model with FL has close results to the one trained by centralized data.
On the osteogenic differentiation of dental pulp stem cells by a fabricated porous nano-hydroxyapatite scaffold loaded with sodium fluoride
Authors: Arab Samaneh , Bahraminasab Marjan , Asgharzade Samira , Doostmohammadi Ali , Zadeh Zahra Khatib , Nooshabadi Vajihe Taghdiri 
Published: April 2024

Abstract

In this study, after the extraction of nano-hydroxyapatite (n-HA) powder from carp bone waste, porous n-HA scaffolds were fabricated by a sintering process and subsequently loaded with different amounts of sodium fluoride (NaF) through immersion in NaF suspensions for 10, 7.5, and 5 minutes. The NaF-loaded scaffolds were then examined for their structural properties, loading and release profile, cytotoxicity and osteogenic effect on dental pulp stem cells at the level of RNA and protein expression. Scanning electron microscopy (SEM) images showed that the scaffolds were porous and had rough surfaces, and NaF could be successfully applied. The NaF loaded on the n-HA scaffolds was 6.43, 4.50, and 1.47 mg, respectively at 10-, 7.5-, and 5-minutes immersion in the NaF suspensions. The NaF release rate was fast during the first hour in all groups (38.6%, 29.7%, and 25.7% for 10, 7.5, and 10 min, respectively), and decreased dramatically thereafter, especially after 6h, indicating a slow detachment of NaF. The results of the cytotoxicity assay rejected any toxicity of the fabricated scaffolds on DPSCs, and the cells could adhere to the scaffold surfaces with enlarged morphology. The results obtained showed no effect on osteogenic differentiation at the protein level. Nevertheless, this effect was observed at the gene level.