bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circular RNA hsa_circ_00027220-induced regulation of Yes-associated protein promotes platinum resistance in oral squamous cell carcinoma: implications for verteporfin therapy
Authors: Tsai Hsiao-Chi , Tsai Ming-Hsui , Hua Chun-Hung , Huang Chun-Wei , Lu Chien-Chi , Chen Kwei-Jing , Chen Michael Yuan-Chien , Lien Ming-Yu , Tang Chih-Hsin 
Published: April 2024

Abstract
Purpose:
Oral squamous cell carcinoma (OSCC) significantly impacts public health with its high occurrence and grim outcomes. Platinum resistance complicates OSCC treatment. Yes-associated protein (YAP) plays a key role in OSCC development, while circular RNA (circRNA) influences microRNA activity, contributing to chemoresistance in cancers. Yet, how circRNA affects YAP expression in OSCC is unclear.
Methods:
We examined the expression of YAP in 21 newly diagnosed OSCC cases using immunohistochemistry and quantitative polymerase chain reaction (qPCR). Cisplatin-resistant OSCC cell lines were established for further investigation. A luciferase reporter system, RNA pull-down assay, and RNA fluorescence in situ hybridization (FISH) assay were utilized to demonstrate that circRNA hsa_circ_0002722 (circ_0002722) could bind to microRNA-1305 (miR-1305). The synergistic effects of combined cisplatin and verteporfin (a YAP inhibitor) treatment were evaluated using SynergyFinder. We also developed subcutaneous tumorigenicity graft models to validate our findings in an in vivo setting.
Results:
Here, we found that YAP and circ_0002722 were upregulated in platinum-resistant OSCC tissues. Circ_0002722 acted as a regulator of miR-1305, influencing YAP expression and thereby mediating platinum sensitivity. In vivo experiments corroborated the synergistic effects of cisplatin and verteporfin in combating platinum resistance. Therefore, targeting YAP is a promising therapeutic strategy for addressing platinum resistance in OSCC, with circ_0002722 serving as a potential therapy target and valuable diagnostic marker.
Conclusions:
These findings provide novel insights into the underlying mechanisms of platinum resistance and suggest new avenues for developing effective treatment approaches in OSCC.
Modeling free Inversion based Iterative Feedforward Control of Magnetorheological Dampers
Authors: Yu Shuyou , Sun Shaoyu , Xu Xinze , Zhang Songlin , Zhuang Ye 
Published: April 2024

Abstract

In this paper, a damping force tracking control strategy of magnetorheological dampers with nonlinear and hysteresis characteristics is proposed, in which a modeling-free inversion-based iterative feedforward control (MIIFC) scheme is designed. The adopted MIIFC scheme utilizes only online input-output data of the controlled system, and achieves the desired performance by iterations. The property of disturbances or noises attenuation, i.e., convergence analysis is explicitly addressed accordingly. The validity of the adopted MIIFC scheme was verified by simulation experiments and hardware-in-the-loop tests on a seat suspension test rig installed with the magneto-rheological damper. The experimental results show that the desired damping force can be effectively tracked with the MIIFC scheme.
Genetic Diversity and Genome-Wide Association Study for some agronomic traits in durum wheat (Triticum turgidum L.) Using whole genome DArTseq Markers
Authors: Ebrahimi Peyman , Karami Ezzat , Etminan Alireza , Talebi Reza , Mohammadi Reza 
Published: April 2024

Abstract
This research was conducted to study genetic diversity, population structure, linkage disequilibrium, and marker-trait relationship in durum wheat using DArTseq technology. Therefore, 94 durum wheat genotypes were evaluated in the form of augmented design with six repeated controls during the two cropping years, 2016–2017 and 2017–2018. Some Agronomic traits including the number of days to spike emergence, number of days to physiological maturity, plant height, thousand kernel weight, and grain yield were measured and recorded. The DNA samples were processed for DArTseq using the Genotyping by Sequencing (GBS) platform at Diversity Array Technology Pty, Ltd, Australia. The values of polymorphism information content (PIC) of SilicoDArT markers varied from 0.023 to 0.499 with an average of 0.38. The studied durum wheat genotypes were grouped into four separate groups based on the Bayesian model. LD analysis between A and B genomes showed that there is a high number of significant marker pairs (82052) in the B genome compared to the A genome (68885). In general, during two cropping years, 29 markers related to the studied traits were found, and out of these 29 related markers, 19 markers were identified in the first year and 10 markers were identified in the second year. The results revealed that the DArTseq markers are a very powerful tool for evaluating the genetic diversity and population structure of durum wheat genotypes and can be used in genotype screening as breeding parents and marker-assisted selection in breeding programs.
An innovative normal self-positioning method with gravity and friction compensation for wall-climbing drilling robot in aircraft assembly
Authors: Xu Haiyang , Geng Daxi , Jiang Xinggang , Xue Jixiao , Guo Gaojie , Zhang Deyuan 
Published: April 2024

Abstract
In aircraft manufacturing, the normal accuracy of fastening holes is crucial for the performance and lifetime of the aircraft. However, industrial robots face challenges in achieving precise normal positioning, marked by insufficient rigidity and error amplification. Contemporary methodologies frequently rely extensively on external sensors, encountering limitations in the presence of spatial constraints and low-light conditions. In response to these challenges, this paper presents a wall-climbing drilling robot specifically designed for operation within confined spaces. It innovatively employs an expansion self-positioning mechanism, coupled with robotic joint torque compensation control, to achieve precise normal positioning. The methodology relies on established drilling templates to determine hole positions and normals. By coordinating machinery and control efforts, the robot spindle axis aligns precisely with the axis of the drilling template sleeve, ensuring accurate normal positioning. The paper provides a comprehensive analysis of the mechanical principles governing the expansion self-positioning of the robot and introduces the joint torque compensation control method. The accuracy and effectiveness of the proposed approach are rigorously validated through a series of meticulous drilling experiments. Results demonstrate a significant improvement in the drilling normal accuracy of the wall-climbing drilling robot, meeting the stringent requirements for normal accuracy in aircraft assembly holes.
Political Polarization and Economic Growth
Authors: Kang Youngho , Kim Byung-Yeon , Lee Dongwon 
Published: April 2024

Abstract

This study examines the effect of political polarization, measured by the dispersion of self-reported political ideologies, on economic growth. Using a panel of 75 countries from 1990 to 2019, we find that political polarization has a negative effect on economic growth through its effect on private investment, human capital investment, and total factor productivity. We reveal that state capacity—the government’s ability to achieve intended policy goals—mitigates the adverse effect of polarization.
JEL Classifications: D72, O47.
Effect of repeated autoclave on hardness and tensile strength of polypropylene/natural rubber developed for rubber dam clamp
Authors: Krajangta Nantawan , Nonthiphalang Thitaporn , Phumpatrakom Panupat , Rangsantham Paphavarin , Wongwitthayakool Panjaporn , Sirisinha Chakrit 
Published: April 2024

Abstract
Background To explore the feasibility of utilizing polypropylene (PP) and natural rubber (NR) blends as alternative material for rubber dam clamps in dentistry.Methods The hardness of various PP/NR blend ratios compared to the commercial product, SoftClamp™. Selected blend ratios exhibiting hardness values resembling rigid plastic were further evaluated for hardness and tensile strength after undergoing 1, 5, and 10 autoclave cycles.Results One-way ANOVA test results found that PP/NR blends exhibit significantly lower hardness (p < 0.001) than the commercial SoftClamp™. PP/NR ratios of 100/0, 90/10, and 80/20 exhibited hardness levels equivalent to 82%, 80%, and 75% of SoftClamp™, respectively. Two-way ANOVA revealed significant reductions in hardness (p < 0.001) and tensile strength (p < 0.001) with increasing NR content across all autoclave cycles. However, post-autoclave assessments at 1, 5, and 10 cycles demonstrated no statistically significant differences in tensile strength (p = 0.058) and hardness (p = 0.52) for PP/NR ratios of 100/0, 90/10, and 80/20 compared to their pre-autoclave states.Conclusions The reduction of the NR content within PP/NR blends decreases hardness and tensile strength while autoclaving did not significantly affect the hardness and tensile strength of PP/NR blends.
Mitigating Future Water Scarcity Through Comprehensive Assessment of Climate and Socio-Environmental Impacts in River Basins
Authors: Rosete Elmer , Alejo Lanie , Balderama Orlando , Bareng Jeoffrey Lloyd , Bartolome Catherine , Alejandro Arlen , Ablan Carlo 
Published: April 2024

Abstract

This study employs the Water Evaluation and Planning (WEAP) model to assess the impact of anticipated climate and socio-environmental changes on water scarcity in the Magat River Basin (MRB). The MRB is crucial for agriculture and domestic use but faces vulnerability due to climate change and societal factors. The current understanding of future water deficits in the MRB is limited, necessitating a comprehensive assessment. The research aims to evaluate the effects of socio-environmental changes on water supply and demand. Results show that strategic interventions like high conveyance efficiency and moderate Alternate Wetting and Drying techniques can mitigate unmet water demand caused by population growth and additional water users until 2080. However, climate change and forest loss are projected to exacerbate water scarcity, especially in agricultural regions dependent on water resources. Model simulations demonstrate the WEAP model's reliability in predicting streamflow. These findings underscore the need for targeted interventions and highlight the effects of climate change and forest loss on water resource management. The study recommends implementing high conveyance efficiency and moderate Alternate Wetting and Drying techniques to alleviate water scarcity and promote resilience, advancing integrated water resources planning and policy analysis.
New cellulose-polyacrylamide hydrogels containing nano-ceria as new promising nanocomposite materials for biomedical applications
Authors: Gofman Iosif. V. , Buyanov Alexander L. , Bozhkova Svetlana A. , Gordina Ekaterina M. , Khripunov Albert K. , Ivan’kova Elena M. , Vlasova Elena N. , Yakimansky Alexander V. , Baranchikov Alexander E. , Ivanov Vladimir K. 
Published: April 2024

Abstract

A group of new hydrogel materials combining high physical properties and pronounced antibacterial activity has been developed. These are composite hydrogels "cellulose-polyacrylamide" based on cellulose matrices of two types: bacterial or regenerated plant cellulose. To form biologically active materials, a method of introducing ceria nanoparticles with sizes less than 5 nm was elaborated. The developed technology allows to obtain hydrogels with the content of ceria (in swollen material) up to 0.4–0.5 wt.%. Variations of the ratio of gel components concentrations, type of matrix cellulose and synthesis conditions allow to change the complex of mechanical properties of the material within a wide range, in particular, to obtain both soft, low-modular nanocomposites and hydrogels with record high rigidity. Significant differences in mechanical properties of hydrogels based on different types of cellulose fully correlate with the difference in morphological characteristics of these two groups of materials revealed by SEM. No palpable effect of nanoparticles on the morphological characteristics of the material was revealed. Both ceria nanoparticles and hydrogels containing ceria showed antibacterial activity against S.aureus ATCC 29213, S.aureus ATCC 43300, P.aeruginosa ATCC 27853, K.pneumoniae ATCC 33495. Different intensity of growth depression of the bacterial cells was determined depending on the samples composition and of the bacteria species.
Factors affecting recombinant Adeno-Associated Virus titers during triple-plasmid transient transfection in HEK-293 cells
Authors: Pistek Martina , Andorfer Peter , Grabherr Reingard , Kraus Barbara , Bort Juan A. Hernandez 
Published: April 2024

Abstract
The efficiency of triple-plasmid transfection in recombinant Adeno-Associated Virus (rAAV) production was analyzed by examining two distinct strains of HEK-293 cells. These strains were categorized as high producer (HP) and low producer (LP) based on their differing levels of productivity under identical conditions. Analysis of RNA expression levels of viral genes revealed disparities in plasmid derived gene expression between the cell lines. Further assessment of transfection efficacy utilizing labeled plasmids revealed lower plasmid uptake and less efficient nuclear transport in LP cell line. Additionally, we observed inferior translation activity in LP, contributing to its shortcomings in overall productivity. In our attempt to optimize plasmid ratios to enhanced fully packaged rAAV particle yield, we discovered cell-strain-specific optimization potential. The findings highlight the transfection's complexity, urging tailored strategies for improved rAAV production based on each cell line's characteristics, enhancing understanding and guiding further efficiency optimization in rAAV production.
Analysis and quantification of water erosion in northern Algerian watersheds
Authors: BELLOUT MAHIEDDINE , Boutoutaou djamel 
Published: April 2024

Abstract

The phenomenon of water erosion is a complex one that is very much in evidence around the world and also in the watersheds of northern Algeria, where the physical, hydroclimatic, geomorphological, and socioeconomic conditions are highly conducive to the onset and acceleration of this phenomenon. Our country is characterized by a semi-arid climate and is threatened by erosion of agricultural land. High concentrations of suspended sediments carried by wadis towards dams and hill reservoirs significantly reduce the capacity of these structures. The majority of Algeria's wadis are not gauged, which complicates the collection of data on solid transport. In the absence of such data, water resource planners find it even more difficult to assess this important hydrological feature. To this end, we are proposing a methodology for calculating the solid transport of rivers that are not gauged by hydrometric stations. To make the model more rigorous, we used data from 132 hydrometric stations. We applied Principal Component Analysis to the monthly mean solid flows of 132 hydrometric stations, and the results show the existence of four hydrologically homogeneous groups. Each group is influenced by distinct parameters, given the complexity of this phenomenon. In the absence of measurement data, these results can be used by engineers and planners working in the hydraulics sector, often without the benefit of normative documents.
Modeling the Process of Management of Water- Salt and Food Regime of Salt Soils of Marginal Land Using Waste Water
Authors: Mustafayev Zhumakhan , Serikbay Umirzakov , Baimanov Zhanuzak , Akylbayev Kairat , Budikova Kulyaikhan 
Published: April 2024

Abstract

Following the development and further improvement of the ecosystem approach to the development of saline marginal lands, a theoretical justification has been prepared for the conceptual model of the technology for the management of the salinity and nutritional regime of marginal lands, where the development of such land takes place in three symmetrical and parallel-sequential actions in time at annual intervals on the basis of biologination of land reclamation, programming productivity of agricultural crops with desalinization of the saline soil to a certain acceptable level subject to leaching limit and chemical reclamation, taking into account the environmental management requirements and classification of the saline soil and salt tolerance of agricultural crops. In addition, the distinctive peculiarities of the proposed technology are the possibility to implement the entire complex of environment-forming functions of the natural system, including the assessment of energy resources of the soil and vegetation cover (various agro-ecological categories), productivity of agricultural land using the reference yield methods, water consumption deficit of agricultural land and leaching limits, ensuring the gradual achievement of the safe level of salinity, using the biological characteristics of salt-tolerant crops (halophytes) and chemical reclamation, based on gypsuming of the topsoil, owing to a balanced supply of mineral fertilizers, and based on their rationing, taking into account planning the yield of cultivated crops.
CFEAC:A Contrastive Learning Approach for Feature- Enhanced Actor-Critic in Robot Path Planning
Authors: Gu Yuwan , Chu Yongtao , Meng Fang , Chen Yan , Lv Jidong , Xu Shoukun 
Published: April 2024

Abstract
In the field of robot path planning, Deep Reinforcement Learning (DRL) has demonstrated considerable potential as a cutting-edge artificial intelligence technology. However, the effective utilization of representation learning in path planning tasks, which is pivotal for successful DRL performance, has remained elusive. This challenge arises from the predominant use of compact vectors derived directly from low-level sensors as the state representation in the task. Learning meaningful representations on such low-level states often proves to be challenging. To address this issue, a novel approach named Contrastive Learning Regularized Feature-Enhanced Actor-Critic (CFEAC) is proposed in this paper. This method adopts a contrastive learning perspective to handle features in neural networks and incorporates cross-layer connections and deep networks to achieve feature enhancement. In a constructed 3D point cloud simulation environment, the CFEAC algorithm outperforms DDPG, TD3, SAC, and SALE algorithms in terms of higher cumulative reward and lower collision rates. Experimental results validate that this approach exhibits superior path planning performance in complex static and dynamic scenarios.
Lightweight network based on improved YOLOv8n for clothing image detection
Authors: Gong Haowei , Liao Haibin , Ai Zhe , Deng Yizhou , Wei Zhe 
Published: April 2024

Abstract

In response to the issues of high computational complexity, large model size, and high computational resource requirements in deep learning-based detection models, an improved lightweight clothing image detection algorithm based on YOLOv8n is proposed. Firstly, some GhostConv are employed to replace ordinary Conv in benchmark model to reduce the number of parameters. Additionally, we design a C2f-GD module to enhanced the bottleneck structure in the C2f architecture by using GhostConv and DCNv2 modules, which can improve compression detection performance while reducing model size and parameter count. Finally, the Inner EIoU loss function is substituted for the original CIoU loss function to enhance the regression analysis performance of the model’s bounding boxes. Experimental results on the open-source fashion dataset Deepfashion2 demonstrate that the lightweight clothing image prediction network demonstrates a significant level of reduced size and parameter count, improved detection accuracy. Compared to the YOLOv8n benchmark model, the proposed model achieves a 1.1% increase in precision and a 2.6%increase in mean average precision(mAP),while reducing model size and parameter count by 0.65MB and 0.315×109,which has good practical value.
Estimation of instantaneous peak flows in Canadian rivers: an evaluation of conventional, nonlinear regression, and machine learning methods
Authors: Khaliq Muhammad Naveed 
Published: April 2024

ABSTRACT

Instantaneous peak flows (IPFs) are often required to derive design values for sizing various hydraulic structures, such as culverts, bridges, and small dams/levees, in addition to informing several water resources management-related activities. Compared to mean daily flows (MDFs), which represent averaged flows over a period of 24 h, information on IPFs is often missing or unavailable in instrumental records. In this study, conventional methods for estimating IPFs from MDFs are evaluated and new methods based on the nonlinear regression framework and machine learning architectures are proposed and evaluated using streamflow records from all Canadian hydrometric stations with natural and regulated flow regimes. Based on a robust model selection criterion, it was found that multiple methods are suitable for estimating IPFs from MDFs, which precludes the idea of a single universal method. The performance of machine learning-based methods was also found reasonable compared to conventional and regression-based methods. To build on the strengths of individual methods, the fusion modeling concept from the machine learning area was invoked to synthesize outputs of multiple methods. The study findings are expected to be useful to the climate change adaptation community, which currently heavily relies on MDFs simulated by hydrologic models.
Effects of Compound in Hedyotis diffusa Willd against Acute Myeloid Leukemia: An In Silico and In Vitro Study
Authors: Lyu Chunyi , Yin Xuewei , Li Zonghong , Wang Teng , Xu Ruirong 
Published: April 2024

Background:
Hedyotis diffusa Willd (HDW) is an herb that has been used empirically for
treating cancer, and its antileukemic effect has been confirmed by laboratory evidence. This study
aimed to explore the underlying mechanism by which HDW and its active compound exert effects on
acute myeloid leukemia (AML) through in silico analyses combined with experimental validation.

Methods:
The targets of the compounds were collected from the database and intersected with AML
targets. Based on these data, a protein-protein interaction (PPI) network and compound-target (C-T)
network were constructed, and KEGG enrichment analysis was performed. Topological analysis of
the C-T network and PPI network was performed to screen for hub compounds and targets. Molecular
dynamics simulations were conducted to test the binding mode and strength between the targets
and the compounds at the molecular level. Cell viability, flow cytometry, ELISA, and Q-PCR were
further used to evaluate the in silico results.

Results:
A total of 86 targets of 12 screened active compounds of HDW against AML were identified.
According to topological analysis, tumor protein p53 (TP53) and signal transducer and activator
of transcription 3 (STAT3) exhibited the highest degree of centrality (DC) in the PPI networks of
HDW targets. Quercetin had a higher affinity for TP53 than for STAT3. Molecular dynamics simulations
confirmed that the TP53-quercetin docked complex was stable with respect to the original
TP53-ligand complex. The targets of HDW and quercetin against AML were significantly enriched
in multiple biological processes, including the p53 signaling pathway and apoptosis. The results from
the in vitro experiment confirmed that quercetin triggers apoptosis in the human AML cell line KG-1
through the p53 pathway protein.

Conclusion:
This study outlines the multi-compound, multi-target, and multi-pathway mechanism by
which HDW affects AML based on an in silico predictive model and further validates the antileukemic
mechanism of the screened active compound in an in vitro model. This study provides a perspective
for studying the antileukemic mechanism of HDW for further research.