bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monitoring the misalignment of machine tools with autoencoders after they are trained with transfer learning data
Authors: Demetgul Mustafa , Zheng Qi , Tansel Ibrahim Nur , Fleischer Jürgen 
Published: April 2023

Abstract
CNC machines have revolutionized manufacturing by enabling high-quality and high-productivity production. However, to maintain these standards, it is essential to monitor the condition of these machines during production. Misalignment of the linear tables in CNCs can directly affect the quality of the manufactured parts, and the components of the linear tables wear out over time due to the heavy and fluctuating loads. To address these challenges, an intelligent monitoring system was developed to identify normal operation and misalignments. Since damaging a CNC machine for data collection is too expensive, transfer learning was used in two steps. First, a specially designed test linear table (SDTLT) was used to sample the current signal at normal and five levels of left-side misalignment conditions ranging from 0.05 mm to 0.25 mm Four different algorithm combinations were trained to detect misalignments. These combinations included a 1D convolution neural network (CNN) and Autoencoder combination, a Temporal Convolutional Network (TCN) and AE combination, a long short-term memory neural network (LSTM) and AE combination, and a CNN, LSTM, and AE combination. At the second step, Wasserstein Deep Convolutional Generative Adversarial Network (W-DCGAN) was used to generate data by integrating the observed characteristics of the SDTLT at different misalignment levels and collected limited data from the actual CNC machines. To evaluate the similarity and limited diversity of generated and real signals, t-distributed stochastic neighbor embedding (T-SNE) method was used. The hyperparameters of the model were optimized by random and grid search. The CNN, LSTM, AE combination demonstrated the best performance, which provides a practical way to detect misalignments without stopping production or cluttering the work area with sensors. The proposed intelligent monitoring system can detect misalignments of the linear tables of CNCs, thus enhancing the quality of manufactured parts and reducing production costs.
A nanoformula comprising three entities in one design Synthetic Sorafenib- loaded poly (lactic-co-glycolic acid) conjugated with natural Curcumin induces a distinct intrinsic apoptosis pathway versus Non-Small Cell Lung Cancer A549 cell lines
Authors: El-Hamawi Omar , Eldin Zienab E. , Abdel-Moneim Adel , Zanaty Mohamed I. , El-Shahawy Ahmed A. G. 
Published: April 2023

Abstract
Non-small cell lung cancer is the most common type of cancer globally. Tyrosine kinase inhibitors (TKIs) are approved for treatment as first-line strategies, but the desire for novel development is necessary to achieve high efficiency and low side effects. Sorafenib (Sor) is approved as a multi-TKIs. The goal of this study is to evaluate a novel formula containing Sorafenib-curcumin (Cur) -loaded polylactic-co-glycolic acid (PLGA) nanoparticles (NPs). Characterization measurements were performed for the new formula. Sor's normal scale and the new formula's nanoscale drug release and cytotoxicity against the WI38 and A549 cell lines were also tested. Additionally, apoptosis factors such as P-53, caspases 3 and 9, cytochrome C, and BAX were measured. The results established the formation of Sor-PLGA-Cur nanoparticles with an entrapment efficiency of 81%. The new formula was less toxic to the WI-38 cell line than Sor, and it performed better in A549. Apoptosis factor measurements revealed that the new formula was more efficient on the A549 cell line than the Sor on a normal scale. In conclusion, the efficiency of Sor could be enhanced with Cur-loaded PLGA in NPs, providing a promising therapy for NSCLC with fewer side effects.
A newly revised estimation of bulk densities and examination of the shape of individual Ryugu grains
Authors: Miyazaki Akiko , Yada Toru , Yogata Kasumi , Hatakeda Kentaro , Nakato Aiko , Nishimura Masahiro , Nagashima Kana , Kumagai Kazuya , Hitomi Yuya , Soejima Hiromichi , Tahara Rui , Kanemaru Rei , Nakano Arisa , Yoshitake Miwa , Iwamae Ayako , Furuya Shizuho , Tsuchiyama Akira , Tachibana Shogo , Michikami Tatsuhiro , Okada Tatsuaki , Abe Masanao , Usui Tomohiro 
Published: April 2023

Abstract
The bulk density of grains from a celestial body is a fundamental property related to its composition and structure, providing a clue to understand the evolutionary history of the body. Here, we provide the bulk density of 637 grains returned from the C-type near-Earth asteroid 162173 Ryugu. This is the largest number of grains to date as a part of the curation activity, and corresponds to 38 wt.% of total returned samples (⁓5 g). Although several densities of the Ryugu grains were reported, some showed uncertainties in sample volume estimation. In this study, we applied a new volume estimation model calibrated by X-ray micro-computed tomography (XCT) to Ryugu grains to estimate their bulk density more accurately. The averaged bulk density of the Ryugu grains was 1.79±0.31 g/cm3 (error is 1 standard deviation) for a wide range of weight of 0.5‒100 mg (sub-mm ‒10 mm in size) and for a variety of their 3D shapes characterized by the three axial length ratios. We also found that the average bulk densities of the two sampling sites on Ryugu, stored separately in the Chambers A and C of the sample container, were almost the same within error. The log plots in the weight (≥1.0 mg) and size (≥1.5 mm) distributions were approximately linear, and the slopes were approximately -1.1 and -3.4, respectively. The average bulk density of 637 Ryugu grains with >0.5 mg was almost the same as that of 16 Ryugu grains with XCT, and also consistent with the densities of CI chondrites (1.57 ‒2.12 g/cm3). The axial ratios of the 724 Ryugu grains and the particles ejected during the sampling operations (flying particles) were similar, which suggests relatively small Ryugu materials (mm‒cm in size) are similar in shape. The minor difference between Rygu grains and flying particles could be attributed to subsequent events such as scraping during sampling operations and transportation.
Acute non traumatic cervical mielopathy in an adult patient: a challenging diagnosis. Case report.
Authors: Nuzzi Daniele , Alvaro Lorenzo , Zambon Giampaolo , Varotto Alessia , Bissoli Angela 
Published: April 2023

Abstract
Introduction Acute cervical myelopathy is a challenging diagnosis. Spinal cord infarction is generally caused by aortic pathologies. In absence of a definite diagnosis, fibrocartilagineous embolism can be a cause of spinal cord ischemia. Case presentation Authors here presented a case report of a 42 years old female patient, suffering acute myelopathy in a stenotic cervical canal by anterior osteophytes. She was admitted to our emergency department with chest pain and tetraparesis, manifesting with two acute episodes within 24 hours of each other, the second worse than the first. Traumatic, inflammatory, ischemic, infectious and compressive causes were excluded. Both neuroprotection therapies (administration of glucocorticoids, maintenance of mean arterial pressure) and surgical decompression of stenotic cervical canal were adopted. Follow-up was characterized by neurological improvement. Conclusions To our knowledge, the case here reported is the first of a suspected FCE in a stenotic CC surgically decompressed. FCE is generally an exclusive diagnosis; definite diagnosis could be only provided by spinal cord biopsy examination. Cervical canal decompression, by removing anterior osteophytes, probably contributed to SC adequate vascular perfusion through the anterior spinal artery and prevented secondary damage from medullary swelling.
Knowledge and attitude toward stroke among the population of one rural community in southern Thailand
Authors: Wanichanon Worawit , Ananchaisarp Thareerat , Buathong Napakkawat , Choomalee Kittisakdi 
Published: April 2023

Abstract
Background Prior knowledge of stroke is associated with decreased prehospital delay in acute stroke events. Knowledge and attitude toward stroke vary in each country. This study was conducted to evaluate attitude and knowledge of stroke in a rural community in southern Thailand.Methods A survey was conducted among people living in Koh Mak Distinct, Phatthalung Province, Thailand. Univariable analysis was tested by Chi-square, Fisher's exact, Rank sum or Kruskal-Wallis test. Linear and logistic regression were used to determine factors associated with the knowledge score and level of attitude toward stroke.Results Among 247 participants, most were Muslim and the median age was 54.0 years. The median (Q1, Q3) score of stroke risk factors was 5 (2, 7) (full score: 9). Participants who knew about stroke, had an acquaintance diagnosed with stroke, and had a high level of attitude had significantly higher scores. Two-thirds of the participants had a low-to-moderate level of attitude. Furthermore, most high-risk participants (99/113) had a low to no chance awareness of their risk to stroke. The median (Q1, Q3) score of stroke warning symptoms was 6 (3, 7) (full score: 10). The participants who had received education via the Face Arm Speech Time (FAST) campaign demonstrated a significantly higher proportion of correct answers to the symptoms mentioned in the FAST acronym.Conclusion Most participants in this community had insufficient knowledge, low-to-moderate level of attitude, and underestimated their risk to stroke even in the high cardiovascular risk participants. The FAST acronym may help people memorize the typical warning symptoms of stroke.
Resistance spot welding of dissimilar material joints with a cold gas sprayed inlayer
Authors: Hagen Christian , Klinkenberg Franz-Josef , Ossenbrink Ralf , Michailov Vesselin 
Published: April 2023

Abstract
In this publication, Cold-Gas-Spraying (CGS) is investigated as an enabler for mixed-material joints between aluminum die cast and steel components. By coating the aluminum substrate with a steel inlayer, welds can be performed between the steel joining partners. Thus, allowing the creation of a metallurgical bond between similar materials and a mechanical joint between dissimilar materials. During the resistance spot welding process, a reduction of defects in the porous inlayer surrounding the nugget is observable. With the use of an EBSD-analysis a recrystallization of the highly prestressed particles in the coating is noticeable which correlates with the reduction of hardness in the heat affected zone resulting in a metallurgical notch. Aluminum, with its lower melting point, will be liquefied during the welding process, resulting in a characteristic bloat. The contact between the liquid phase and the porous inlayer results in high requirements regarding the compactness of the cold-gas-sprayed inlayer.
Innovative i-PRF semisurgical method for gingival augmentation and root coverage in thin periodontal phenotypes: A preliminary study
Authors: ALAN Raif , ERCAN Esra , FIRATLI Yiğit , FIRATLI Erhan , TUNALI Mustafa 
Published: April 2023

Abstract
Objectives The aim of this study was to evaluate the effect of injectable platelet-rich fibrin (i-PRF) on gingival thickness (GT) and gingival recession (GR) in individuals with thin periodontal phenotypes using a semisurgical approach.Materials and methods In this prospective study, i-PRF was applied via a semisurgical method to augment 53 tooth regions with thin periodontal phenotypes. i-PRF injection was applied to the relevant areas in 4 sessions at an interval of 10 days. GT, GR, keratinized tissue width and periodontal parameters were also recorded before treatment and at 6 months after the last injection.Results A statistically significant difference was observed in GT and GR values at the end of the study compared to baseline. Accordingly, an increase in GT was achieved in 92.5% of the areas treated with i-PRF, and the desired GT (0.8 mm) was achieved in 44.9% of these areas. In addition, significant reductions in the amount of recession were observed in 83.3% of the 12 GR areas (p = 0.005). Moreover, complete coverage was achieved in 60% of these regions.Conclusion With the new i-PRF semisurgical method, which we introduced in this first preliminary study, we showed that GT can be increased in tooth regions with thin gingiva and that areas of GR can be covered. Further comprehensive studies are needed to fully understand the role of i-PRF in enhancing angiogenesis and the histoconductive properties of this fully autogenous blood concentrate.Clinical relevance Classical periodontal plastic surgery applications cannot give predictable results in areas with thin periodontal phenotypes, especially in the case of bone dehiscence and fenestration. In some cases, undesirable progressive GR in these tooth regions also draws attention. With this new i-PRF semisurgical method, successful and predictable treatments can be applied in tooth areas with thin gingiva by increasing angiogenesis and taking advantage of the histoconductive properties of i-PRF.
A spine segmentation method based on scene aware fusion network
Authors: Yilihamu Elzat Elham Yilizati , Yang Jintao , Yang Zimeng , Rong Feihao , Feng Shiqing 
Published: April 2023

Abstract
Background Intervertebral disc herniation, degenerative lumbar spinal stenosis, and other lumbar spine diseases can occur across most age groups. MRI examination is the most commonly used detection method for lumbar spine lesions with its good soft tissue image resolution. However, the diagnosis accuracy is highly dependent on the experience of the diagnostician, leading to subjective errors caused by diagnosticians or differences in diagnostic criteria for multi-center studies in different hospitals, and inefficient diagnosis. These factors necessitate the standardized interpretation and automated classification of lumbar spine MRI to achieve objective consistency. In this research, a deep learning network based on SAFNet is proposed to solve the above challenges.Methods In this research, low-level features, mid-level features, and high-level features of spine MRI are extracted. ASPP is used to process the high-level features. The multi-scale feature fusion method is used to increase the scene perception ability of the low-level features and mid-level features. The high-level features are further processed using global adaptive pooling and Sigmoid function to obtain new high-level features. The processed high-level features are then point-multiplied with the mid-level features and low-level features to obtain new high-level features. The new high-level features, low-level features, and mid-level features are all sampled to the same size and concatenated in the channel dimension to output the final result.Results The DSC of SAFNet for segmenting 17 vertebral structures among 5 folds are 79.46%±4.63%, 78.82 ± 7.97%, 81.32%±3.45%, 80.56%±5.47%, and 80.83%±3.48%, with an average DSC of 80.32%±5.00%. The average DSC was 80.32%±5.00%. Compared to existing methods, our SAFNet provides better segmentation results and has important implications for the diagnosis of spinal and lumbar diseases.Conclusions This research proposes SAFNet, a highly accurate and robust spine segmentation deep learning network capable of providing effective anatomical segmentation for diagnostic purposes. The results demonstrate the effectiveness of the proposed method and its potential for improving radiological diagnosis accuracy.
Measuring single-cell susceptibility to antibiotics within monoclonal bacterial populations
Authors: Quellec Lena Le , Aristov Andrey , Ramos Salomé Gutiérrez , Amselem Gabriel , Bos Julia , Baharoglu Zeynep , Mazel Didier , Baroud Charles 
Published: April 2023

Abstract
The emergence of new resistant bacterial strains is a worldwide challenge. A resistant bacterial population can emerge from a single cell that acquires resistance or persistence. Hence, new ways of tackling the mechanism of antibiotic response, such as single cell studies are required. It is necessary to see what happens at the single cell level, in order to understand what happens at the population level. To date, neither bulk nor single-cell methods are able to link the heterogeneity of single-cell susceptibility to the population-scale response to antibiotics. Here, we present a platform that measures the ability of individual E.coli cells to form small colonies at different ciprofloxacin concentrations, by using anchored microfluidic drops and an image and data analysis pipelines. The microfluidic results are benchmarked against classical microbiology measurements of antibiotic susceptibility, showing an agreement between the pooled microfluidicchip and replated bulk measurements. Further, the experimental likelihood of a single cell to form a colony is used to provide a probabilistic antibiotic susceptibility curve. In addition to the probabilistic viewpoint, the microfluidic format enables the characterization of morphological features over time for a large number of individual cells. This pipeline can be used to compare the response of different bacterial strains to antibiotics with different action mechanisms.
A novel polysaccharide/zein conjugate as an alternative green plastic
Authors: Tallawi Marwa , Amrein Danial , Gemmecker Gerd , Aifantis Katerina , Drechsler Klaus 
Published: April 2023

Abstract
Significant attention has been directed toward the development of sustainable alternatives to traditional petroleum-based plastics in recent years. In this study, we investigated the conjugation of zein protein to flax-mucilage for the purpose of developing a bio-based functional material for packaging applications. Although both flax-mucilage and zein have excellent film-forming properties, they lack the required mechanical properties for industrial processing and are sensitive to high humidity. We present a simple and non-toxic method for developing a novel flax-mucilage/zein conjugate via oxidation of the flax-mucilage, forming aldehyde groups, followed by a glycation process with zein's amino groups. The resulting polymer exhibited promising thermoplastic and elastic properties, with an elastic modulus ranging from 1 to 3 GPa, demonstrating its potential as a sustainable alternative to traditional plastics. Additionally, the developed conjugate has demonstrated excellent processability with various industrial processing techniques, including solvent casting, heat pressing, injection molding, and foaming. This makes it a promising candidate for a wide range of industrial applications.
Placobdella nabeulensis sp. nov. (Hirudinea: Glossiphoniidae), a new glossiphoniiform leech from Palearctic North Africa
Authors: Ahmed Raja Ben , Gajda Łukasz , utevsky Serge , kvist sebastian , Świątek Piotr 
Published: April 2023

Abstract

Herein, we describe a new species of turtle blood-feeding leech, Placobdella nabeulensis sp. nov. from Palearctic North Africa (Tunisia and Algeria). The new species is described based on detailed morphological analyses using light and scanning electron microscopes. Apart from the detailed morphology of the atrium, morphological features alone do not sufficiently separate the species from congeners due to the absence of distinct diagnostic characters. Therefore, we turned to molecular data to better distinguish this new species from other members of the genus and establish a basis for its genetic separation. Four DNA fragments were successfully amplified, including mitochondrial COI and 12s rDNA, as well as nuclear 28S rDNA and histone H3. We then provided the molecular descriptor of the taxon, based on redundant diagnostic nucleotide combinations in DNA sequence alignment within the Folmer region. Results of the phylogenetic analysis and species delimitation methods (ABGD, ASAP, and bPTP) based on the COI locus support the species rank of the Tunisian-Algerian Placobdella. The new species is most closely related to the European species Placobdella costata (Fr. Müller, 1846) and the present study indicates that Placobdella nabeulensis sp. nov. has likely been confused with the European counterpart in several previous studies.
ERV3-1/ZNF117: rs67047829 association with substantial protection against obesity
Authors: Clark Jeremy S.C. , Podsiadło Konrad , Sobalska-Kwapis Marta , Marciniak Błażej , Rydzewska Kamila , Ciechanowicz Andrzej , de Wetering Thierry van , Strapagiel Dominik 
Published: April 2023

Abstract
There is now substantial evidence that zinc finger proteins are implicated in adiposity. High-frequency pretermination codons (PTCs) confer near-neutral selection. Aims were to datamine for high-frequency-PTC single nucleotide polymorphisms (SNPs; n = 141; one linked with ERV3-1/ZNF117) from a database with > 550 000 variants and analyze possible association with obesity in a large Polish sample (n = 5757). Body mass index (BMI) was regressed (males/females together or separately) against genetic models. Stringent regression for rs67047829 uncovered an interaction-independent significant association between this high-frequency PTC-SNP and BMI with both sexes together: mean BMI ± standard deviation (n): GG, 25.4 ± 4.59 (3650), GA, 25.0 ± 4.28 (731); AA, 23.4 ± 3.60 (44); additive model adjusted for age and sex: p = 4.08x10− 5; beta: -0.0458, 95% confidence interval (CI): -0.0732:-0.0183; surviving Bonferroni correction; and with males: GG, 24.8 ± 4.94 (1878); GA, 24.2 ± 4.31 (386); AA, 22.4 ± 3.69 (23); p = 4.20x10− 4; beta: -0.0573, CI: -0.0947:-0.0199. For average-height males the difference between GG and AA genotypes would correspond to ~ 6 kg, suggesting considerable protection against obesity. rs67047829 is a PTC-SNP in ERV3-1 which lies upstream of, and shares an exonic region and possibly a promoter with, ZNF117, previously associated with adiposity and type 2 diabetes. As this result occurs in a near-neutral Mendelian setting, a drug target involving ERV3-1/ZNF117 potentially might provide considerable benefits with minimal side-effects. This result needs to be replicated, followed by analysis of splice-variant mRNA and protein expression.
Bioinformatics analysis of the clinical value and potential mechanisms of NCKAP1 in prostate cancer
Authors: Huang Yifan 
Published: April 2023

Abstract

BACKGROUND"Actin cytoskeleton vulnerability to disulfide stress mediates disulfidptosis" published in the journal "nature cell biology" on Feb. 6, 2023, reveals a new mechanism of disulfidptosis, which may lead to new therapeutic strategies for cancer treatment. Disulfidptosis" reveals a new mechanism of cell death, disulfidptosis, which may lead to new therapeutic strategies for cancer treatment, and NCKAP1 deficiency inhibits this mechanism.METHODSBased on The Cancer Genome Atlas (TCGA) data, we screened NCKAP1-related genes by WGCNA and explored the clinical value and potential mechanisms of NCKAP1 in PRAD by multi-omics analysis. The proportion of tumor-infiltrating immune cells (TIC) and the number of immune and stromal components were calculated in 481 PRAD cases from The Cancer Genome Atlas (TCGA) database using CIBERSORT and ESTIMATE calculations.RESULTSNCKAP1 expression levels in cancer tissues are much lower than normal tissue levels and may be an independent prognostic factor. Intrinsic components of the plasma membrane, cell adhesion, and bioadhesion were most frequently noted in genomic enrichment analysis. NCKAP1 expression in PRAD was positively correlated with immune infiltration.CONCLUSIONNCKAP1 is a good diagnostic marker for PRAD.NCKAP1 may affect disulfidptosis and inhibit the development of PRAD through the intrinsic component pathway of the plasma membrane.CIBERSORT analysis showed that B cells naive, T cells CD4 memory resting and Macrophages M1 were positively correlated with NCKAP1 expression levels, which may provide potential clues for the prognosis and treatment of PRAD patients.