bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-dose chemotherapy with autologous haematopoietic stem cell transplantation in patients with isolated vitreoretinal lymphoma: A LOC network study
Authors: Mainguy Adam , Soussain Carole , Touitou Valérie , Bennedjai Amin , Kodjikian Laurent , GHESQUIERES Herve , Damaj Gandhi , Gressin Remy , Ducloyer Jean Baptiste , Chinot Olivier , Vautier Anaïs , Chabrot Cecile Moluçon , Ahle Guido , Taillandier Luc , Marolleau Jean Pierre , Chauchet Adrien , Jardin Fabrice , Cassoux Nathalie , Malaise Denis , Toutée Adélaïde , Touhami Sara , Garff-Tavernier Magali Le , Hoang-Xuan Khe , Choquet Sylvain , Houillier Caroline 
Published: August 2024

Abstract

Despite its indolent evolution, vitreoretinal lymphoma (VRL) has a poor prognosis due to a major risk of relapse in the central nervous system (CNS) and may necessitate aggressive therapy. However, the use of high-dose chemotherapy with autologous stem cell transplantation (HCT-ASCT) is poorly documented. We retrospectively analysed from the French LOC network database the adult immunocompetent patients treated with HCT-ASCT for isolated VRL. Thirty-eight patients underwent consolidation with HCT-ASCT for isolated VRL between 2008 and 2019 after induction chemotherapy. Twenty patients had primary VRL, and 18 had an isolated VRL relapse of a primary CNS lymphoma. Three patients underwent HCT-ASCT in first-line treatment, 24 in second-line treatment, and 11 in subsequent lines. At HCT-ASCT, the median age was 61 years, and the median KPSwas 90. Thirty-two patients (84%) received high-dose thiotepa-based HCT. One patient (3%) died from HCT-ASCT toxicity. Nineteen (50%) patients relapsed after HCT-ASCT, including 17 cases occurring in the brain. The median progression-free survival, brain-free survival and overall survival from HCT-ASCT were 96, 113 and 92 months, respectively. HCT-ASCT represents an effective therapeutic strategy for select VRL patients, with a tolerable safety profile. However, the risk of subsequent brain relapse remains significant.
Analyzing English and Thai Case Markers in Sentence Construction
Authors: Petchprasert Anongnad 
Published: August 2024

Abstract

Drawing from linguistic theories and methods, this study investigated the use of case markers in English and Thai sentences in double-object sentence construction. Forty-two participants were pre-service teachers majoring in English at a university in Thailand. A written text analysis was used to examine constructs in ditransitive and dative written texts by enabling the discovery of a variety of case markers found in sentences. The syntactic and semantic realizations available to the sentence structures across the languages were found to be associated with the background of their first language. A majority of the participants wrote sentences in transitive or intransitive verb forms with or without an object. Nominative cases (NOM), dative (DAT), and accusative (ACC) markers were most frequently found in sentences across the languages.
Knockdown of LOX-1 ameliorates cardiac hypertrophy in alcoholic cardiomyopathy via inactivating the p38MAPK pathway
Authors: Zhang Yifan , Yuan Bo , Xu Yue , Zhou Na , Wang Xin , Lv Xiaoyan , Feng Zhanbin 
Published: August 2024

Abstract

Background
One of the characteristics of alcoholic cardiomyopathy (ACM) is cardiac hypertrophy, which was reported to be related to lectin-like oxidized low-density lipoprotein receptor 1 (LOX-1), but the mechanism needs to be explored. Here, we explored how LOX-1 facilitated ACM induced cardiac hypertrophy and its molecular mechanisms.
Methods
H9C2 cells and rats were treated with alcohol to establish ACM models in vitro and in vivo, and before alcohol treatment, H9C2 cells were transfected with sh/oe-LOX-1 and oe-P38MAPK adenovirus vector to knockdown or overexpression LOX-1 and P38MAPK. Hematoxylin-eosin staining (HE) and transmission electron microscopy (TEM) were used to quantify cardiomyocyte area and observe autophagosomes, respectively. RT-qPCR and western blot were used to detect the mRNA and protein expression of LOX-1, P38MAPK, p-P38MAPK, markers of cardiac hypertrophy, autophagy and apoptosis in H9C2 cells and rats, respectively. Furthermore, ACM rats were injected with of sh-LOX-1 to test whether LOX-1 knockdown could alleviate alcohol-induced heart injury by inhibiting the P38MAPK signaling pathway.
Results
Alcohol induced H9C2 cells hypertrophy, obvious autophagy as well as apoptosis, and increased the expression of LOX-1 and P38MAPK. LOX-1 overexpression enhanced the deleterious effects of alcohol, whereas sh-LOX-1 relatively counteracted. The rescure experiment showed that P38MAPK overexpression partially counteracted the protective effect of LOX-1 knockdown by promoting hypertrophy, autophagy and apoptosis in H9C2 cells. In addition, sh-LOX-1 ameliorated alcohol-induced cardiac injury in rats.
Conclusion
LOX-1 knockdown could inhibit P38MAPK signaling pathway to exert anti-hypertrophy, anti-autophagy and anti-apoptosis effects in ACM. LOX-1 is expected to be a potential target for the treatment of ACM.
Natural convective flow of CuO–Water nanofluid with variable thermophysical properties in a square-shaped cavity with an obstacle
Authors: Parvin Salaika , Roy Nepal Chandra 
Published: August 2024

Abstract

The current study involves numerical simulation to analyze the effect of magnetohydrodynamic (MHD) forces on natural convection within a square enclosure containing an inner corrugated circular cylinder. Additionally, the effect of nonlinear thermal radiation is considered. In this model, the nanofluid composed of copper oxide (CuO) and water is diffused all throughout the porous medium of the enclosure. It is considered that the nanofluid's temperature and nanoparticle volume concentration both affect the dynamic viscosity and thermal conductivity. The outer square-shaped enclosure is supposed to be cold, while the inner corrugated cylinder is presumed hot. Flow and thermal patterns inside the enclosure are visualized through the distribution of streamlines and isothermal contours. Heat transfer rates are estimated based on the local (NuL) and average (Nuavg) Nusselt number. Computational results are generated for several parameters, including Rayleigh number (Ra), Darcy number (Da), Hartmann number (Ha), surface temperature parameter (χ), radiation parameter (Rd), and solid volume concentration of nanoparticles (ϕ). The fluid flow intensity is noticeably improved by increasing the Rayleigh number, radiation, surface temperature, and concentration of nanoparticles, but an increasing Hartmann number counteracts this phenomenon. The heat transfer rate throughout the enclosure can be significantly reduced by filling it with a porous substance.
Marginal Adaptation of Customized Gutta Percha Cone With Calcium Silicate Based Sealer Versus MTA And Biodentine Apical Plugs In Simulated Immature Permanent Teeth (An In Vitro Study)
Authors: Mina Mary M. , Moussa Sybel M. , Aboelseoud Mahmoud R. 
Published: August 2024

Abstract

Background: This study aimed to compare the marginal adaptation of a single customized gutta percha cone with calcium silicate-based sealer versus mineral trioxide aggregate (MTA) and Biodentine apical plugs in simulated immature permanent teeth.
Methods: Thirty-nine extracted human maxillary anterior teeth were selected, prepared to simulate immature permanent teeth with an apical diameter 1.1 mm, placed in moist foam and divided into three groups. Group 1: Obturation with a single customized gutta percha cone and calcium silicate sealer. Group 2: MTA apical plug. Group 3: Biodentine apical plug. After incubation, teeth were horizontally sectioned at 1 mm and 3 mm from the apex and marginal adaptation was evaluated using scanning electron microscope (SEM).
Results: Biodentine showed the least mean gap size at both 1 and 3 mm from the apex with no statistically significant differences compared to MTA (p > 0.05). The single customized cone with calcium silicate based sealer showed the greatest mean gap size at both 1 and 3 mm from the apex with a statistically significant difference compared to the other groups (p<0.001).
Conclusion: Biodentine and MTA apical plugs provide a significantly better marginal adaptation to the dentinal walls than a single customized gutta percha cone with calcium silicate based sealer in simulated immature permanent teeth.
ASIC Design of Area Efficient Analog Frontend for Image Sharpening Applications
Authors: Vijeyakumar K N , Dharmalingam Silambarasan , Jessy Talluri Vineel , Manjubala M , Priya Bhagavathi 
Published: August 2024

Abstract

In this research article we propose a new analog sharpening filter analog frontend (SAF) for image enhancement. The SAF is built using a bulk-controlled datum pair (BC-DP), enabling threshold equalization between amplifying and load MOSFETs and achieving better linearization in the processed output signal. The reported SAF incorporates a differential weight mask to achieve bias currents in cascaded BC-DPs. To process the 3×3 kernel of the input image, the proposed SAF utilizes nine BC-DP cells connected in parallel. The parallel operation of BC-DP cells achieves better processing speed compared to their digital counterparts, which employ adders and multipliers to realize the filter structure whose processing capability is bottlenecked by the carry propagation delay of adder units. Furthermore, to achieve area efficiency, we omit the corner pixels in the input kernel for processing, and the truncated version of the SAF (SAFTrun) is realized using five BC-DP cells. Simulations reveal that the reported SAF and its truncated version are able to achieve better operating frequencies when compared to the few other AFEs proposed for image processing applications. Semi-Conductor Laboratory (SCL) 180nm MOSFETs are used to implement the reported SAFs.
Investigation of Superconducting Quantum Interference Readout Electronics based on Self-feedback Differential Low-noise Amplifier
Authors: Yang Zhenyu , Zhai Changwei , Yang Hongxing , Zhao Jianting , Lu Yunfeng 
Published: August 2024

Abstract

Superconducting Quantum Interference Device (SQUID) has been widely applied in various metrology and precision applications, owing to its excellent magnetic sensitivity. The stable and accurate readout circuit is crucial for SQUID applications. In this paper, we designed the self-feedback differential low-noise amplifier (SDLA) and relied on the flux-loop lock (FLL) to construct the direct readout circuit. This weakens feedback current interferences and maintains the balance between SQUID two terminals, which in turn minimizes the influence of wire resistors. The SDLA is composed of matched transistors and two amplifiers that maintain stable amplification performance and low noise performance through current feedback. In a series of experiments, the feedback current is reduced to the pA level, minimizing wire resistor influences; the voltage white noise of the readout circuit is around 0.65 nV/Hz1/2. The SQUID characteristics can be measured clearly and the total noise of the readout system remains low.
Access and Barriers to Treatment and Counseling for Postpartum Women With and Without Symptoms of (CB-)PTSD Within the Cross-Sectional Study INVITE
Authors: Jehn Valentina , Seefeld Lara , Schellong Julia , Garthus-Niegel Susan 
Published: August 2024

Abstract

Background
Although childbirth is frequently described as a positive experience, the transition to parenthood can be challenging and many postpartum women suffer from mental health problems. Nevertheless, the utilization of treatment and counseling services remains low. To improve this, it is necessary to examine the likelihood of and barriers to help-seeking among postpartum women. There is a paucity of research on postpartum posttraumatic stress disorder (PTSD), that addresses these issues, especially when considering both types of postpartum PTSD, namely childbirth-related PTSD (CB-PTSD) and general PTSD (gPTSD). Thus, we examined differences in the likelihood of and barriers to help-seeking between postpartum women with CB-PTSD, gPTSD, and women who were not affected by clinically relevant symptoms of these two mental health problems.
Methods
Data from the cross-sectional study INVITE were used, consisting of n = 3,875 telephone interviews with women between 6 weeks and 6 months after childbirth. CB-PTSD was assessed using the City Birth Trauma Scale and gPTSD using a short version of the Primary Care Posttraumatic Stress Disorder Screen for DSM-5. Women were asked about their likelihood of and specific barriers to help-seeking through self-developed questionnaires. Analyses of covariance were conducted to examine group differences and multiple regression analyses to investigate associations between symptom severity and the likelihood of help-seeking.
Results
Groups did not differ in their likelihood of help-seeking. Additionally, the severity of the symptoms did not predict the likelihood of help-seeking. Post-hoc comparisons revealed more overall barriers among women with CB-PTSD compared to non-affected women. Concerning different types of barriers, women affected by CB-PTSD or gPTSD reported more instrumental barriers than non-affected women. More barriers related to fears about treatment and stigmatization were only reported by women with CB-PTSD compared to non-affected women but not by women with gPTSD. Significant associations with socio-demographic confounders were found in all analyses.
Conclusions
Reducing instrumental barriers, e.g. through outreach services or financial subsidies, seems to be key in order to improve access to services for postpartum women with CB-PTSD or gPTSD. Since women with CB-PTSD reported more fears about treatment and stigmatization, education about CB-PTSD among perinatal women and health professionals may also be important.
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity
Authors: Du Honghui , Guo Binyao , He QiZhi 
Published: August 2024

Abstract

The present study aims to extend the novel physics-informed machine learning approach, specifically the neural-integrated meshfree (NIM) method, to model finite-strain problems characterized by nonlinear elasticity and large deformations. To this end, the hyperelastic material models are integrated into the loss function of the NIM method by employing a consistent local variational formulation. Thanks to the inherent differentiable programming capabilities, NIM can circumvent the need for derivation of Newton-Raphson linearization of the variational form and the resulting tangent stiffness matrix, typically required in traditional numerical methods. Additionally, NIM utilizes a hybrid neural-numerical approximation encoded with partition-of-unity basis functions, coined NeuroPU, to effectively represent the displacement solution and streamline the model training process. NeuroPU can also be used for approximating the unknown material fields, enabling NIM a unified framework for both forward and inverse modeling. For the imposition of displacement boundary conditions, this study introduces a new approach based on singular kernel functions into the NeuroPU approximation, leveraging its unique feature that allows for customized basis functions. Numerical experiments demonstrate the NIM method’s capability in forward hyperelasticity modeling, achieving desirable accuracy, with errors among 10-3∼ 10−5 in the relative L2 norm, comparable to the well-established finite element solvers. Furthermore, NIM is applied to address the complex task of identifying heterogeneous mechanical properties of hyperelastic materials from strain data, validating its effectiveness in the inverse modeling of nonlinear materials. To leverage GPU acceleration, NIM is fully implemented on the JAX deep learning framework in this study, utilizing the accelerator-oriented array computation capabilities offered by JAX.
An elite allele TaDT1-AhapI enhances drought tolerance via mediating autophagic pathways in wheat
Authors: Hu Zhaorong , Liu Xingbei , Li Jinpeng , Zhang Chenji , Zhao Danyang , Peng Xiao , Yang Qun , Liu Zehui , Miao Lingfeng , Chu Wei , Lin Jingchen , Chang Shumin , Liu Debiao , Liu Xiaoyu , Wang Wenxi , Wang Xiaobo , Xin Mingming , Yao Yingyin , Guo Weilong , Xie Xiaodong , Peng Huiru , Ni Zhongfu , Sun Qixin 
Published: August 2024

Abstract

Drought stress constitutes a major threat for the global wheat production. Identification of the genetic components underlying drought tolerance in wheat is of great importance. Through a genome-wide association study, we identified a natural allele of a zinc finger-type transcription factor TaDT1-A in chromosome 2A of wheat genome that confers drought tolerance without imposing trade-offs between tolerance and yield. This allele, named as TaDT1-AhapⅠ, causes an 899-bp deletion in the promoter of the TaDT1-A gene, which results in enhanced expression of the gene through escaping the binding of the repressive MYC transcription factor and, consequently, a promotion of stomata dynamics and water use efficiency via enhancing autophagy activity. Our discovery highlights genetic insights into the natural variation of wheat drought tolerance. The identified loci or genes can serve as direct targets for both genetic engineering and selection for wheat trait improvement.
On how to determine surface roughness power spectra
Authors: Rodrigues N , Gontard L , Ma C , Xu R , Persson B.N.J. 
Published: August 2024

Abstract

Analytical contact mechanics theories depend on surface roughness through the surface roughness power spectrum. In the present study, we evaluated the usability of various experimental methods for studying surface roughness. Our findings indicated that height data obtained from optical methods often lack accuracy and should not be utilized for calculating surface roughness power spectra. Conversely, engineering stylus instruments and atomic force microscopy (AFM) typically yield reliable results that are consistent across the overlapping roughness length scale region. For surfaces with isotropic roughness, the two-dimensional (2D) power spectrum can be derived from the one-dimensional (1D) power spectrum using several approaches, which we explored in this paper.
The plasma membrane H+-ATPase promoter enables highly efficient production of punicic acid in Rhodotorula toruloides cultivated on glucose and crude glycerol
Authors: Krajciova Daniela , Holic Roman 
Published: August 2024

Abstract

Background
Punicic acid is a conjugated fatty acid with a wide-range of nutraceutical properties naturally present in pomegranate seed oil. To meet the rising demand for pomegranate seed oil, a single-cell oil enriched in punicic acid provides a sustainable biomass-derived alternative. This study describes the production of a punicic acid-enriched single-cell oil through the engineering of the red yeast Rhodotorula toruloides grown in glucose and a low-cost substrate, crude glycerol.
Results
The gene for Punica granatum fatty acid conjugase, PgFADX, was randomly integrated into the genome of R. toruloides without disrupting the carotenoid synthesis. In shake flask studies, the effects of three promoters (PPGI1, PNAR1, and PPMA1) on punicic acid production were evaluated. A punicic acid titer of 105.77 mg/L and 72.81 mg/L was obtained from engineered cells expressing PgFADX from the PPMA1 promoter cultivated for 72 hours in glucose and for 168 hours in crude glycerol, respectively. Furthermore, the detailed lipid analysis revealed a high enrichment of punicic acid in the triacylglycerol lipid structures, even without substantial modifications to the metabolic pathways.
Conclusions
This report demonstrates the high potential of R. toruloides in the biotransformation of a low-cost substrate, crude glycerol, into a value-added products such as punicic acid. The findings support the feasibility of using engineered R. toruloides as a sustainable and efficient platform for the production of punicic acid-enriched single-cell oil.
Genetic and dietary determinants of gut microbiome-bile acid interactions in the BXD recombinant inbred mouse population
Authors: Auwerx Johan , Li Xiaoxu , Perino Alessia , Morel Jean-David , Wang Qi , Sulc Jonathan , Jalil Antoine , von Alvensleben Giacomo , Rapin Alexis , Li Hao , Schoonjans Kristina 
Published: August 2024

Abstract

The gut microbiome is crucial in regulating overall physiology and communicates with the host through various microbial-derived metabolites, including secondary bile acids (BAs). However, mechanisms underlying the gut microbiome-BA crosstalk (gMxB) are still poorly understood. Here, we assessed the postprandial cecal microbiome, BA levels, and colon transcriptome of a genetically diverse population of 32 BXD mouse strains fed with a chow or high-fat diet, and found that genetic and dietary factors shift microbiome composition and gMxBs. Four diet-dependent co-mapping genetic loci associated with gMxBs, such as the interaction between Turicibacter-plasma cholic acid, were identified using systems genetics approaches. By integrating human MiBioGen database, we prioritized PTGR1, PTPRD, and GABRB3 as candidate genes potentially regulating gMxBs. The human relevance of these candidates on metabolic health was demonstrated using the UK biobank, FinnGen, and million veteran program. Overall, this study illustrates potential modulators regulating gMxBs and provides insights into gut microbiome-host communication.
Predicting total upland sediment yield using regression and machine learning models for improved land management and water conservation
Authors: S. M. Shravan Kumar , Pandey Manish , Umamahesh N. V. 
Published: August 2024

ABSTRACT
In this study, various regression models were utilized to predict total sediment yield in tons, while their performance was evaluated for accuracy and reliability. The dataset utilized contains numerous predictors that have been standardized and processed through principal component analysis to improve model performance. Models evaluated here include linear regression, normalized linear regression, Principal Component Analysis (PCA), Pearson Correlation Coefficient (PCC) with generalized ridge regression, kernel ridge regression, multivariate regression, lasso regression approaches such as artificial neural network Cellular Automata-Artificial Neural Network (CA-ANN or ANN), and more. Results suggest that the ANN model achieved the lowest mean squared error (MSE), 113.641; this suggests superior predictive capability compared to other models. Although environmental data were complex and relationships complex, an ANN model showed less error, followed closely by CA-ANN with an MSE of 124.83. Traditional models such as linear or lasso regression revealed larger errors with negative squared values that indicated poor fits to data. This analysis highlights the effectiveness of advanced machine learning in environmental modeling, emphasizing the importance of selecting models suited to data and specific phenomena, aiding environmental planners in predicting and managing soil erosion and sediment transport.