bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep transfer learning for Multiple Sclerosis Detection and classification using pre-trained model
Authors: Desai Dhyey , Gangrade Jayesh , Singh Yadvendra , Gangrade Shweta , Gupta Gaurav , Salehi Ahmad Waleed 
Published: October 2023

Abstract
Multiple sclerosis (MS) is a neurological condition that damages the central nervous system and is characterized by demyelination, inflammation , and axonal destruction. Early and correct MS diagnosis is essential for prompt treatment and better patient outcomes. With the help of total 3427 MRI images in the form of four different types of classes — Control Axial, Control Sagittal, MS-Axial, and MS-Sagittal. We Proposed a unique method for MS detection in this study. The pre-processing of the MRI data is the initial step of the proposed methodology. This research paper presents a comprehensive study aimed at enhancing MS classification through the augmentation of MRI data. By expanding the initial dataset of 3427 images to a robust collection of 10000 images using advanced techniques, the study offers an invaluable resource for training and evaluating MS detection algorithms, thereby fostering improved diagnostic outcomes. The VGG-16, VGG-19 and xception model are trained on the hybrid dataset, consisting of both axial and sagittal images, allowing it to capture the intricate patterns associated with MS lesions. We have obtained the highest accuracy, out of the 3 models used here, of 97%, by using the VGG-16 model.
Polymerization behavior and rheological properties of a surfactant-modified reactive hydrophobic monomer
Authors: Wen Xin , Wang Lei , Lai Xiao-juan , Liu Gui-ru , Yang Wen-wen , Gao Jin-hao , Liu Ya-meng , CUI wenyu 
Published: October 2023

Abstract
The structures and properties of hydrophobic association polymers can be controlled using micelles. In this work, we synthesize a reactive hydrophobic surfactant monomer, KS-3, from oleic acid, N,N-dimethylpropylenediamine, and allyl chloride. A strong synergistic effect between KS-3 and cocamidopropyl betaine in aqueous solution enhances the hydrophilic dispersibility of KS-3, thereby transforming spherical micelles into cylindrical micelles. KS-3 was grafted onto a polyacrylamide chain via aqueous free-radical polymerization to obtain RES, a hydrophobic association polymer. Structural analysis revealed that the RES polymers assembled in wormlike micelles were more tightly arranged than those assembled in spherical micelles, resulting in a compact network structure in water, smooth surface, and high thermal stability. Rheological tests revealed that the synthesized polymers with wormlike and spherical micelles exhibited shear-thinning properties along with different structural strengths and viscoelasticities. Therefore, controlling the micellar state can effectively regulate the polymer properties. The polymers obtained through wormlike micelle polymerization have potential applications in fields with high demands, such as drug release, water purification, and oilfield development.
OPN-modified nanoparticles loading BY1 inhibits vascular restenosis by inducing FTH1-dependent ferroptosis in vascular smooth muscle cells
Authors: Zhang Yu , Zheng Bo-yang , Zhang Qian-fan , Zhao Yanan , Liu Xin , Ding Si-ying , Qian Shuang-shuang , Yu Qi-ming , Wu Han , Wu Qian-yu , Zhang Yu-han , Zheng Lei , Zhang Xinhua , Zhang Hao-feng , Hao Yi-ming , Lu Jing-chao , Wang Lei , Wen Jin-kun , Zheng Bin 
Published: October 2023

Abstract
Percutaneous coronary intervention has greatly improved the quality of life in patients with coronary artery disease. However, the vascular restenosis after angioplasty remains a challenging problem. Thus, there is still an urgent need to rationally design more effective drug and drug delivery system. In this study, the heterocyclic trioxirane compound [1, 3, 5-tris((oxiran-2-yl)methyl)-1, 3, 5-triazinane-2, 4, 6-trione (TGIC)], which has an anticancer activity, was used as the parent ring to conjugate with non-steroidal anti-inflammatory drug to obtain the spliced conjugated compound BY1, which is expected to prevent vascular remodeling. We found that BY1 potently induced ferroptosis in the cultured VSMCs as well as in neointima hyperplasia, accompanied by the significant accumulation of reactive oxygen species (ROS) and intracellular iron. The ferroptosis inducer and inhibitor enhanced and rescued, respectively, BY1-induced cell death, indicating that ferroptosis contributes to BY1-induced cell death in VSMCs. Further, we demonstrated that ferritin heavy chain1 (FTH1) was a key determinant for BY1-induced VSMC ferroptosis, as evidenced by the observations that FTH1 overexpression abrogated, while knockdown of FTH1 exacerbated, BY1-induced VSMC ferroptosis. Meanwhile, we compared the efficacy of different administration routes of BY1, including BY1-coated balloons, hydrogel-based BY1 delivery, and Osteopontin (OPN)-modified nanoparticles loading BY1 for targeting proliferated VSMCs (BY1-NP-OPN), for prevention and treatment of the restenosis. Our results suggest that BY1-NP-OPN is the most effective among the three administration routes, supporting the notion that BY1 might serve as a promising candidate for the development of drug coated stents or anti-restenosis drug.
Exploring potential therapeutic targets for glioma based on non-targeted metabolic analysis
Authors: Li Sibo , Jiang Xudong , Chen Gang , Zhang Lina , Cao Yanfei 
Published: October 2023

Abstract
Background
Glioma, easy recurrence and poor prognosis, is the most common cancer in brain. The metabolic reprogramming of glioma provides favorable conditions for the growth of tumor cells. However, the pivotal metabolic pathways and related therapeutic targets associated with glioma progression remain to be illuminated yet. The purpose of this study was to demonstrate the changes in glioma metabolism, and reveal the potential biological functions of related metabolic genes.
Methods
We collected 4 postoperative glioma and adjacent tissues, then performed non-targeted metabolic analysis. The hub metabolic pathways were identified using KEGG pathway enrichment analysis. In addition, the mRNA and protein expression of related metabolic genes were demonstrated based on UALCAN and HPA data. To gain insight into the prognosis efficacy of these genes, the Kaplan-Meier, Cox regression and time-dependent ROC analyses were conducted. We further revealed the correlation between expression of metabolic genes and immune infiltration using ssGSEA and correlation analysis.
Results
We found that 13 metabolites were up-regulated and 107 metabolites were down-regulated in glioma. The Glycerophospholipid metabolism pathway was considerd the hub metabolic pathway in tumorigenesis of glioma. Furthermore, the expression of CTSC, LPCAT1, LPCAT3, MGAT1 and MGAT2 were significantly up-regulated in glioma, and were correlated with poor prognosis. Finally, based on immune analysis, we discovered that infiltration of most immune cells, importantly MDSCs, were correlated with the expression of CTSC, LPCAT3, MGAT1 and MGAT2.
Conclusion
In this study, our findings revealed the metabolic landscape of glioma microenvironment, which provides a promising therapeutic strategy.
Isolation and Characterization of Potential Phyllosphere Bioinoculants from Coriandrum sativum
Authors: K Avinash , S Suresh Vikram , S Vivan K , S Amaana Shirine , B Gopinath 
Published: October 2023

Abstract
Coriandrum sativum, also known as Coriander, is an annual herb in the apiaceae family. It is a common leguminous plant that grows abundantly in India. It has also been used for intercropping with short irrigation intervals. This plant is well-known for its ability to thrive in low-phosphate and drought-prone soils. This study aims to identify isolates from the phyllosphere region that have potential to be used as bioinoculants. Phyllosphere sample was collected from the native farmland and neighbourhood and screened for bioinoculants. A total of 98 bacterial strains were isolated and tested for production of ammonia. The nitrogen fixing strains were chosen based on their ammonia production. The selected 28 isolates were tested for various PGP factors such as HCN production, IAA production and Phosphate solubilization and also tested for extracellular enzymatic activities such as Amylase production, Protease degradation, Gelatinase activity, Catalytic activity and Lipase production, based on the results, few exhibited potent antagonistic activity against Colletotrichum capscici and Rhizoctonia solani. Based on the results of extracellular activities and antagonistic assay, five potential strains were subjected to germination study. One best PGPP was identified through amplification and sequencing of the 16S rRNA gene. The research uncovered a previously unknown diversity of plant growth promoting bacteria with enormous potential for use as a bioinoculant in agriculture. This study emphasises the importance of Phyllosphere microbiota for plant growth, in addition to identifying promising candidates for bioinoculation.
Optimal Taxation and Multiple Externalities in a Dynamic Economy
Authors: Ao Fei 
Published: October 2023

Abstract
This paper characterizes the optimal mix of linear commodity taxation and non-linear income taxation in a dynamic economy where consumption gives rise to positional and environmental externalities. Both externalities are modeled as stock-externalities by reflecting people's present and past consumption. With non-atmospheric positional externalities, the principle of targeting does not apply, which means that the policy rules for all tax instruments are adjusted in response to the positional externality. The results of the model imply simultaneous motives for corrective taxation that interacts in an important way.
JEL Classification: D15 , D62 , H21 , H23
Perioperative Outcomes of Uniportal Versus Three-port Video-assisted Thoracoscopic Surgery in Lung Cancer Patients Aged ≥75 years old: A Cohort Study
Authors: Mi Xingqi , Dai Zhangyi , Liu Chengwu , Mei Jiandong , Zhu Yunke , Liu Lunxu , Pu Qiang 
Published: October 2023

Abstract
Background Increasing attention has been raised on the surgical option for lung cancer patients aged ≥75 years, however, few studies have focused on whether uniportal video-assisted thoracoscopic surgery (VATS) is safe and feasible for these patients. This study aimed to evaluate short-term results of uniportal versus three-port VATS for the treatment of lung cancer patients aged ≥75 years.
Methods We retrospectively evaluated 582 lung cancer patients (≥75 years) who underwent uniportal or three-port VATS from August 2007 to August 2021 based on the Western China Lung Cancer Database. The baseline and perioperative outcomes between uniportal and three-port VATS were compared in the whole cohort (WC) and the patients undergoing lobectomy (lobectomy cohort, LC) respectively.
ResultsIntraoperative blood loss was significantly less in the uniportal than three-port LC (50 mL vs. 83 mL, P=0.007) and was also relatively less in the uniportal than three-port WC (50 mL vs. 75 mL, P=0.05). In addition, in WC and LC, there were no significant differences between uniportal and three-port cohorts in terms of operation time, the rate of conversion to thoracotomy during surgery, nodal treatments (dissection or sampling or not), the overall number of lymph nodes and stations dissected, postoperative complications, volume and duration of postoperative thoracic drainage, hospital stay after operation and hospitalization expenses (P>0.05).
Conclusions There were no significant differences in short-term outcomes between uniportal and three-port VATS for lung cancer patients (≥75 years), except significantly less intraoperative blood loss was found in uniportal LC (P<0.05). It is reasonable to indicate that uniportal VATS is a safe, feasible and effective operation procedure for lung cancer patients aged ≥75 years.
Development of an algorithm for compressing the information content of the results of the continuation power flow analysis
Authors: BISLIMI Agron 
Published: October 2023

Abstract
In this work, we have developed an algorithm to compress the information content derived from the Continuation Power Flow (CPF) analysis. We utilized MATLAB as the computational tool, which made it possible to display the results graphically in a simple manner. This paper presents a schematic representation of the developed algorithm, followed by a step-by-step explanation using a theoretical and practical example based on the algorithm's schematics. We employed synthetic high-voltage grids ranging from 2 to 17 nodes as test systems. Future work will focus on the development of software that can be applied to any network. Our investigations have revealed several advantages of CPF. It enables the analysis of system behavior in both stable and unstable regions, providing precise information about the load level at which voltage collapse occurs. This accuracy is contingent on a consensus that voltage collapse can be described using a stationary approach. Additionally, CPF analysis results, particularly the PV curves, are easily interpretable with appropriate graphical processing. We present the results of voltage stability analyses, graphically displaying voltage magnitudes and angles as they vary with the load for networks of different sizes, ranging from 2 to 17 nodes, calculated using CPF.
Impact of Clostridioides difficile infection on survival and graft-versus-host disease after allogeneic hematopoietic cell transplantation: a multicenter study on behalf of the Polish Adult Leukemia Group
Authors: Piekarska Agnieszka , Sadowska-Klasa Alicja , Mensah-Glanowska Patrycja , Sobczyk-Kruszelnicka Małgorzata , Drozd-Sokołowska Joanna , Waszczuk-Gajda Anna , Kujawska Joanna , Wilk Mateusz , Tomaszewska Agnieszka , Zaucha Jan , Giebel Sebastian , Gil Lidia 
Published: October 2023

Abstract
Clostridioides difficile infection (CDI) is the most common cause of infectious diarrhea after allogeneic hematopoietic cell transplantation (allo-HCT). The impact of CDI and its treatment on allo-HCT outcomes and graft-versus-host disease (GVHD), including gastrointestinal GVHD (GI-GVHD) is not well established. This multicenter study assessed real-life data on the first-line treatment of CDI and its impact on allo-HCT outcomes.
Retrospective and prospective data of patients with CDI after allo-HCT were assessed. The first-line treatment for CDI included metronidazole in 34 patients; vancomycin, in 64; and combination therapy, in 10. Treatment failure was more common with metronidazole than with vancomycin (38.2% vs. 6.2%; P <0.001). The need to administer second-line treatment was associated with the occurrence or exacerbation of GVHD (P <0.05) and GI-GVHD (P <0.001) and reduced overall survival (P <0.05). In the multivariate analysis, the risk of death was associated with acute GVHD presence before CDI (hazard ratio[HR], 3.19; P =0.009) and the need to switch to second-line treatment (HR, 4.83; P <0.001).
The efficacy of the initial CDI treatment affects survival and occurrence of immune-mediated GI-GVHD after allo-HCT. Therefore, agents with higher efficacy than metronidazole (vancomycin or fidaxomicin), should be administered as the first-line treatment.
Uncertainty Quantification of PDE-based models using Deep Gaussian Processes and Variational Bayesian Inference
Authors: Fanous Majdi , Chatrabgoun Omid , Esmaeilbeigi Mohsen , Nezhad Hamed Yazdani , Daneshkhah Alireza 
Published: October 2023

Abstract
Uncertainty quantification (UQ) and propagation (UP) in complex multi-scale physical models are challenging problems due to the high-dimensionality of the inputs and the outputs for such models and the corresponding computational complexity. These challenges could be tackled using Gaussian process (GP) models by constructing a surrogate response surface. This response surface is an efficient approximation of the underlying expensive model which can be then used for UQ and UP. However, the standard GP model is hampered by various issues such as the curse of dimensionality, difficulties in capturing the non-Gaussian complex nature of the input/output relation, and modelling discontinuities of 1 model outputs. To overcome these issues, this work aims to use a non-linear GP model, known as deep Gaussian process for the UQ and UP of multi-scale models. Deep GP is an efficient approach for deep learning and modelling of high-dimensional complex systems and consists of several hidden layers connected with non-linear mappings. In this work, a modified variational approximation framework is presented to analytically approximate the posterior distribution of the model outputs using the model inputs. The proposed framework automatically selects the dimensionality of each hidden layer to prevent over-fitting. Consequently, the deep GP model is more flexible and can be used to propagate uncertainty obtained in each layer across the hierarchy. The suitability of this model is shown in UQ tasks by computing the error bars for the statistics of interest in a standard stochastic PDE based model.
Employment Among Adolescent Children of SSDI Recipients
Authors: Vaughn Cody N. 
Published: October 2023

Abstract
I explore the association between parental work-limiting disabilities (WLD) and Social Security Disability Insurance (SSDI) receipt and the labor supply of their adolescent children. Using the 2014-2021 waves of the Survey of Income and Program Participation, I estimate that having a parent who receives SSDI benefits is associated with a 22 percent reduction in the odds that the child worked during the school months of the previous calendar year relative to teens whose parents did not receive benefits. Along the intensive margin, parental SSDI receipt is correlated with a more than 20 percent reduction in total hours worked over the previous year. These effects are almost entirely driven by teenage boys, suggesting a gendered response to parental disability and SSDI benefit receipt.
JEL Classification: I38 , J13 , J22
TNF-α promotes osteocyte necroptosis by upregulating TLR4 in postmenopausal osteoporosis
Authors: Cui Hongwang , Li Ji , li Xiangtao , Su Tian , Wen Peng , Wang Chuanling , Deng Xiaozhong , Fu Yonghua , Zhao Weijie , Li Changjia , Hua Pengbing , Zhu Yongjun , Wan Wei 
Published: October 2023

Abstract
Postmenopausal osteoporosis (PMOP) is a common kind of osteoporosis that is associated with excessive osteocyte death and bone loss. Previous studies have shown that TNF-α-induced osteocyte necroptosis might exert a stronger effect on PMOP than apoptosis, and TLR4 can also induce cell necroptosis, as confirmed by recent studies. However, little is known about the relationship between TNF-α-induced osteocyte necroptosis and TLR4. In the present study, we showed that TNF-α increased the expression of TLR4, which promoted osteocyte necroptosis in PMOP. In patients with PMOP, TLR4 was highly expressed at skeletal sites where exists osteocyte necroptosis, and high TLR4 expression is correlated with enhanced TNF-α expression. Osteocytes exhibited robust TLR4 expression upon exposure to necroptotic osteocytes in vivo and in vitro. Western blotting and immunofluorescence analyses demonstrated that TNF-α upregulated TLR4 expression in vitro, which might further promote osteocyte necroptosis. Furthermore, inhibition of TLR4 by TAK-242 in vitro effectively blocked osteocyte necroptosis induced by TNF-α. Collectively, these results suggest a novel TLR4-mediated process of osteocyte necroptosis, which might increase osteocyte death and bone loss in the process of PMOP.
Mount Etna as a window into the lubricants of plate tectonics
Authors: Pilet Sebastien , Reymond Jules , Rochat Laetitia , Corsaro Rosa Anna , Chiaradia Massimo , Caricchi Luca , Müntener Othmar 
Published: October 2023

Abstract

Flux or decompression melting of the mantle are the two main mechanisms proposed for the generation of magma beneath large stratovolcanoes. However, Mount Etna, one of the most active volcanoes on Earth, differs from active volcanoes in subduction zones or oceanic islands because of the eruption of large volumes of volatile-rich alkaline lavas over relative short time scales. This questions the mechanism of magma formation at depth as Mount Etna lavas requires specific melting conditions to account for their enrichment in alkali and other incompatible elements. Here, we link the origin of Mount Etna to the extraction of pre-existing melts in the Low Velocity Zone (LVZ). This zone characterizes the lithosphere-asthenosphere boundary (LAB) and is identified beneath oceanic plates by electric and seismic anomalies reflecting the presence of small melt volumes. We use geochemical data and modelling to show that volcanism in response to plate flexure around Sicily, when coupled with varying degrees of melt-rock interaction, accounts for the temporal and chemical evolution of magma and eruptive volume for both Mount Etna's lavas and the earlier volcanic activity on the Hyblean Plateau. Mount Etna may be a unique place on Earth where the composition of melts at the LAB, the essential rheological lubricants for global plate tectonics can be studied directly on the Earth’s surface.
An oocyte meiotic midbody cap is required for developmental competence in mice
Authors: Schindler Karen , Jung Gyu Ik , Londoño-Vásquez Daniela , Park Sungjin , Skop Ahna , Balboula Ahmed 
Published: October 2023

Abstract
Embryo development depends upon maternally derived materials. Mammalian oocytes undergo extreme asymmetric cytokinesis events, producing one large egg and two small polar bodies (PB). During cytokinesis in somatic cells, the midbody (MB) and subsequent assembly of the midbody remnant (MBR), a signaling organelle containing RNAs, transcription factors and translation machinery, is thought to influence cellular function or fate. The role of the MB and MBR in gametes, in particular, oocytes, remains unclear. Here, we examined the formation and function of meiotic MBs (mMB) and mMB remnants (mMBRs) using mouse oocytes and demonstrate that mMBs have a specialized meiotic mMB cap structure that is orientated toward PBs. We show that that mMBs are translationally active, and that mMB caps are required to retain nascent proteins in eggs. We propose that this specialized mMB cap maintains genetic factors in eggs allowing for full developmental competency.
LDHA-regulated tumor-macrophage symbiosis promotes glioblastoma progression
Authors: Khan Fatima , Lin Yiyu , Ali Heba , Pang Lizhi , Dunterman Madeline , Hsu Wen-Hao , Frenis Katie , Rowe R. Grant , Wainwright Derek , McCortney Kathleen , Billingham Leah , Miska Jason , Horbinski Craig , Lesniak Maciej , Chen Peiwen 
Published: October 2023

Abstract
Abundant macrophage infiltration and altered tumor metabolism are two key hallmarks of glioblastoma. By screening a cluster of metabolic small-molecule compounds, we show that inhibiting glioblastoma cell glycolysis impairs macrophage migration and lactate dehydrogenase (LDH) inhibitor stiripentol (an FDA-approved anti-seizure drug for Dravet Syndrome) emerges as the top hit. Combined profiling and functional studies demonstrate that LDHA-directed ERK pathway activates YAP1/STAT3 transcriptional co-activators in glioblastoma cells to upregulate CCL2 and CCL7, which recruit macrophages into the tumor microenvironment. Reciprocally, infiltrating macrophages produce LDHA-containing extracellular vesicles to promote glioblastoma cell glycolysis, proliferation, and survival. Genetic and pharmacological inhibition of LDHA-mediated tumor-macrophage symbiosis markedly suppresses tumor progression and macrophage infiltration in glioblastoma mouse models. Analysis of tumor and plasma samples of glioblastoma patients confirms that LDHA and its downstream signals are potential biomarkers correlating positively with macrophage density. Thus, LDHA-mediated tumor-macrophage symbiosis provides therapeutic targets for glioblastoma.