bluuebunny/crossref_metadata_2025_split huggingface dataset:
Airway epithelial cells promote in vitro airway smooth muscle cell proliferation by activating the Wnt/β-catenin pathway.
Authors: Liu Yilun , Li Jiana , Chen Rongchang , Shi Fei , XIONG Yi 
Published: March 2024

Abstract

Chronic lung diseases are the leading causes of mortality worldwide with no effective treatments. The proliferation of airway smooth muscle cells plays a very important role in pathological changes, and the reasons for ASMC proliferation are still to be investigated. In recent years, it has been discovered that epithelial cells, as an important type of cell with barrier and immune functions, can promote the proliferation of smooth muscle cells, but the reasons have not been elucidated. In this article, we investigated the impact of AECs on ASMCs utilizing a co-culture system. We found that AECs significantly promoted the proliferation of ASMCs. To explore the mechanisms involved, we performed RNA-seq analysis on Airway Smooth Muscle Cells (ASMCs). It was found that epithelial cells facilitate the proliferation of smooth muscle cells by activating the canonical Wnt signaling pathway in muscle cells. To verify whether other ASMC proliferation pathways play an important role in co-culture. The addition of inhibitors targeting other proliferative pathways in smooth muscle cells did not impact the phenotype observed in co-culture. Due to the Wnt pathway being overlooked in ASMCs, our paper highlights the significance of the Wnt/β-catenin pathway in the proliferation of ASMCs. Future pathological research on the proliferation of ASMCs in airway remodeling needs to consider the potential role of the canonical Wnt pathway.
The research on word game based on SIRS-ARIMA model and machine learning algorithm
Authors: Hu Junjun , Li Xiaoyan , Zhang Yongkuo , Ai Xiajie , Chen Lei 
Published: March 2024

Abstract
Various word game software is becoming more and more popular, such as the recently popular “Wordle” crossword game, which can entertain, develop intelligence, and improve word learning ability. However, there are little research on how to improve the challenge and innovation of word games. For this challenge, this paper focuses on the research of word games based on SIRS-ARIMA model and machine learning algorithm. The SIRS-ARIMA model is an innovative approach that combines the SIRS propagation model and the autoregressive integrated moving average model (ARIMA) to analyze and predict dynamic changes in the word game by taking into account factors such as social media propagation. This paper also uses the entropy method of machine learning algorithm and SVC model to classify the difficulty of words, so as to optimize the design and play of word games. By analyzing player behavior and word attributes, it can personalize the game experience and provide players with precise feedback mechanisms. This research provides new theories and methods for the development of word games and provides strong support for the design of more engaging and innovative games.
High performance casting film cassava starch/poly (vinyl alcohol)/clay nanocomposite films for banana preservation: Physical properties and application
Authors: Riyajan Saad 
Published: March 2024

Abstract

Cassava starch (CS)/poly(vinyl alcohol) (PVA)/ kaolin clay (KC) nanocomposite films with high mechanical and barrier properties were prepared by casting film. Based on the CS/PVA matrix, the effects of KC content on the starch/PVA/KC nanocomposite films were investigated. X-ray diffraction results demonstrated that the CS/PVA/KC nanocomposite films exhibited KC good dispersion in the polymer matrix. FTIR spectra showed that the molecular interactions were enhanced in the CS/PVA/KC films with higher PVA content. The maximum tensile strength and elongation at break for the CS/PVA/KC composite films were 18 MPa and 330%, respectively. The CS/PVA/KC composite was applied to extend the shelf-life of banana and results showed that the good shelf-life of banana was accepted. The CS/PVA/KC composite film is a promising material for high barrier food packaging.
Design, Modeling, Self-Calibration and Grasping Method for Modular Cable-Driven Parallel Robots
Authors: Guo Yonghua , Chen Qihan , Han Yu , Liu Wanqun , Peng Jianqing 
Published: March 2024

Abstract

Compared with traditional rigid serial robots, cable-driven parallel robots (CDPRs) have the advantages of simple structure, lightweight, large workspace, strong flexibility, fast reconstruction speed, and low construction cost. However, there are still many problems in the optimal design of the mechanism, system calibration, and trajectory planning of the CDPR. Based on these, a modular cable-driven parallel robot (MCDPR) is designed and the nonlinear kinematic modeling, system self-calibration, and grasping planning methods are proposed. Firstly, according to the application requirements of MCDPRs in large space scenarios, the design indicators and performance requirements of MCDPRs are analyzed and an MCDPR is designed. Secondly, the "motor-cable-end" multi-layer kinematic equations of the MCDPR are derived. Further, the system is calibrated using a vision sensor before the motion of the mobile platform. A vision-based self-calibration method for mechanism parameters of the MCDPR is proposed to reduce the number of calibrations during robot operation. Thirdly, a grasping planning method based on visual measurement is proposed for autonomous object grasping. Finally, a software/hardware combination MCDPR experimental prototype with encoders and tension sensors is built to verify the above-designed prototype and the proposed methods. Kinematic model calibration experiments, system self-calibration experiments, and object grasping control experiments are carried out. The simulation based on the CopperliaSim software and practical experiments prove the effectiveness of the designed structure and the proposed method.
Exploring Peer Learning Module Vs. Conventional Tutorials: Effects On Engagement And Learning Outcomes Among First-Year Medical Students
Authors: V Vinay A , R Sindhu , R Kavita 
Published: March 2024

Abstract

In medical education, it is essential to raise student involvement and active participation in the learning process. By contrasting small-group peer learning modules with teacher-led conventional tutorial sessions, we aim to provide insights into their respective influences on learning outcomes and the overall learning experience among 150 first-year medical students. Each group consisted of 50 students. These students were further divided into two groups and a pretest was administered on the day of the session. One group engaged in conventional tutorials, while the other participated in a peer learning module. Post-tests and session feedback were provided after each session. Results from the posttest revealed advancement in both learning approaches compared to the pretest. Compared to tutorials, the level of progress was much higher following peer learning with a p-value of < 0.05. Participants felt that while the tutorials helped them cover the full subject and saved time, they occasionally got monotonous and there was little active engagement. Students who participated in the peer learning method said that while interaction aided in a better learning experience, improved communication skills, and had more active participation, there was less time for discussion and some group members were reticent and ineffective in explaining the concepts. The peer learning module is thought to be superior to conventional tutorial classes since it promises active involvement from all students, promotes greater learning, and aids in skill improvement, thus assisting students to help each other in gaining insight into the process of active learning.
Inferring the impact of large-scale aquaculture of Haliotis discus hannai in northern and southern China using EST-SSR markers
Authors: 杨 洪苏 , Zhou Liqing , Wu Zhou , Ge Guangyu , Sun Xiujun , Wu Biao , Liu Zhihong , Yu Tao , Zheng Yanxin 
Published: March 2024

Abstract

The Pacific abalone Haliotis discus hannai originated in cold waters, but as an economically important aquaculture shellfish in China, there has been a large-scale transfer of fish to Fujian Province in southern China for culture. Our goal was to clarify the current status of the genetic structure of Pacific abalone in China. In this study, eighteen polymorphic EST-SSR loci were successfully developed based on the hemolymph transcriptome data of Pacific abalone, and thirteen highly polymorphic EST-SSR loci were selected for the genetic variation analysis of six populations collected from Zhangzhou in Fujian Province (ZZ), Dalian in Liaoning Province (DL), Rongcheng in Shandong Province (RC), and the Changshan Archipelago, including Nanhuangcheng Island (NH), Daqin Island (DQ), and Tuoji Island (TJ). The results showed that the average number of observed alleles was 8.0769 (RC)-11.3848 (DQ) in each population. The number of observed alleles in the DQ, NH, and TJ populations was significantly higher than that in the RC population. If the NH and TJ cultured populations of the Changshan Archipelago were excluded, then compared with the DQ wild population, the number of alleles in the cultured population decreased by 22.79%. The pairwise Fst values and analysis of molecular variance (AMOVA) revealed significant population differentiation among most populations, with the RC and ZZ cultured populations exhibiting the largest population differentiation (Fst = 0.1334). The UPGMA phylogenetic tree and structural analysis divided the six populations into two groups (group 1: NH, DQ, and ZZ; group 2: DL, TJ, and RC), and there was no relationship between geographical distance and genetic distance. These results may reflect the large-scale culture from north to south in China and the exchange of juveniles between hatcheries. Different breeding conditions have led to a higher degree of genetic differentiation between the RC and ZZ populations. In conclusion, this study provides valuable information on the genetic structure of Pacific abalone populations in China and contributes to the management and restoration of Pacific abalone.
NiFe 2 O 3 @SiO 2 -Pr-DBU: A novel efficient magnetically retrievable catalyst for one-pot synthesis of dihydropyrano[c]chromene
Authors: Bhosale Lalit Dhananjay , Gurav Akshay Pandurang , Sankpal Sandeep Ashok , Hangirgekar Shankar Poshatti 
Published: March 2024

Abstract
In the present work, NiFe2O3@SiO2-Pr-DBU was synthesized as a novel magnetically separable nanocatalyst and characterized by various techniques like Fourier transform infrared (FT-IR) spectroscopy, X-ray diffraction (XRD), Scanning electron microscopy (SEM), Vibrating-sample magnetometry (VSM), Transmission electron microscopy (TEM) and Elemental analysis by energy dispersive X-ray (EDX). The catalytic efficiency of NiFe2O3@SiO2-Pr-DBU was explored in the synthesis of dihydropyrano[c]chromenes through a one-pot three-component reaction of 4-hydroxycoumarin, malononitrile, and aromatic aldehydes in aqueous solution at ambient condition. The nano-sized catalyst was simple to remove from the synthesized reaction mixture using an external magnet, and it could be employed again without appreciably losing catalytic activity.
A Framework to Quantify the Quality of Source Code Obfuscation
Authors: Jin Hongjoo , Lee Jiwon , Yang Sumin , Kim Kijoong , Lee Dong Hoon 
Published: March 2024

Abstract

Malicious reverse engineering of software has served as a valuable technique that attackers can use to infringe upon and steal intellectual property.
To protect against such attackers, we can employ obfuscation techniques as useful tools to safeguard software.
Applying obfuscation techniques to source code can effectively prevent malicious attackers from reverse engineering a program.
However, the ambiguity surrounding the protective efficacy of these source code obfuscation tools and techniques presents challenges for users in evaluating and comparing the varying degrees of protection provided.
This paper attempts to address these issues and presents a methodology to quantify the effect of source code obfuscation.
Our proposed method is based on three main types of data: (1) the control flow graph, (2) the program path, and (3) the performance overhead added to the process---all of which are derived from a program analysis conducted by human experts and automated tools.
For the first time, we have implemented a tool that can quantitatively evaluate the quality of obfuscation techniques.
Then, to validate the effectiveness of the implemented framework, we conducted experiments using four widely recognized commercial and open-source obfuscation tools.
Our experimental findings, based on quantitative values related to obfuscation techniques, demonstrate that our proposed framework effectively assesses obfuscation quality.
A higher prevalence of migraine in patients with cardiac syndrome x compared to patients with cardiovascular disease and healthy control
Authors: Movahednia Mehran , Ouspid Elham , Abbaszadeh Shahin , Mahmoodi Massomeh , Dastsouz Farideh , Ghareghani Atefeh 
Published: March 2024

Abstract

Background
Cardiac syndrome X(CSX), is a type of ischemic heart disease, that is characterized by angina-like chest pain, without any evidence of significant coronary vascular abnormalities. Some evidence has revealed a significant association between migraines, particularly migraine with aura, with cardiovascular diseases (CVDs). In this case-control study, the prevalence of migraine and the role associated risk factors were compared between the patients with CSX, CVD, and healthy control individuals.
Methods
The patients with CSX (n = 70), CAD (n = 70), and healthy individuals (n = 70) were enrolled in this study. For each enrolled subject, demographic and clinical data were collected. The prevalence of migraine and associated risk factors were determined in each group.
Results
The prevalence of migraine in the CSX group (40%) was significantly higher compared to those of CVD (24%) (p = 0.047) and healthy controls groups (21%) (p = 0.017). In the control subjects, but not in the CVD and CSX groups, the female gender was a significant risk factor for migraine. The prevalence of migraine with aura was significantly higher in patients with CSX (20%) compared to patients with CVD (8%) (p = 0.045). The family history of migraine was significantly higher in patients with CSX (57.0%) compared to patients with CVD (31.0%) and the control group (35.7%) (p = 0.004).
Conclusions
The results of this study revealed a significantly higher prevalence of migraine in patients with CSX. The findings also showed a familial aggregation of migraine in the patients with CSX, suggesting a role of genetic factors in predisposing CSX patients to migraine.
Sting Active Vibration Control in Wind Tunnel.
Authors: Alzahrani Faisal , XING SHEN 
Published: March 2024

Abstract

The proposal examines the impact of active vibration control with feedback control to reduce or eliminate unwanted vibrations in a system actively with development and experimental evaluation. controlled separately by both PID and BP neural network and make comparisons by MATLAB software's thorough Laboratory with vibrations in the sting can affect the accuracy and repeatability of the test results, so active vibration control can be used to improve the performance of the wind tunnel.
Submesoscale horizontal stirring enhances seasonal enrichment of low-chlorophyll surface waters
Authors: fadida Yoatm , Verma Vicky , Barkan Roy , Biton Eli , Solodoch Aviv , Lehahn Yoav 
Published: March 2024

Abstract
The large seasonal increase in marine photosynthetic organisms - i.e., phytoplankton bloom - is a ubiquitous oceanic phenomenon that contributes to the removal of carbon dioxide from the atmosphere and that supports the growth and development of larger organisms throughout the marine ecosystem. The underlying mechanisms controlling the intensity and timing of these blooms have been proposed to be dominated by vertical transport and mixing processes that are enhanced at front and filament circulation patterns, commonly known as submesoscale currents. Here we show that the winter blooms characterizing oligotrophic waters, which are manifested by a seasonal increase in satellite-derived levels of surface chlorophyll, may also be intensified by horizontal stirring motions induced by submesoscale currents. Using ocean color remote sensing data and high-resolution numerical simulations in the Eastern Mediterranean Sea, we demonstrate that the commonly observed energization of submesoscale currents in winter can efficiently connect the coastal waters and the ultra-oligotrophic waters in the sea interior, thereby enriching the latter with chlorophyll-rich water. A comparison of climatological chlorophyll time series indicates that this submesoscale horizontal stirring mechanism is responsible for ∼ 24% of the seasonal surface chlorophyll increase in the region. These results shed new light on the processes governing phytoplankton bloom intensity and emphasize the important role of submesoscale horizontal stirring in regulating the marine ecosystem.
A graph-based machine learning approach combined with optical measurements to understand beating dynamics of cardiac organoids
Authors: Wu Ziqian , Park Jiyoon , Steiner Paul R. , Zhu Bo , Zhang John X.J. 
Published: March 2024

Abstract
The development of computational models for the pre- diction of cardiac cellular dynamics remains a challenge for the lack of first-principled mathematical models. We develop a novel ma- chine learning approach hybridizing physics simulation and graph networks to deliver robust predictions of cardiomyocyte dynamics. Embedded with inductive physical priors, the proposed constraint- based interaction neural projection (CINP) algorithm can uncover hidden physical constraints from sparse image data on a small set of beating cardiac cells and provide robust predictions for heterogenous large-scale cell sets. We also implement an in-vitro culture and imaging platform for cellular motion and calcium transient analysis to validate the model. We showcase our model’s efficacy by predict- ing complex organoid cellular behaviors in both in-silico and in-vitro settings.
Deep learning for insight-based analytics to improve shopping experience
Authors: BOUSLIMI Riadh 
Published: March 2024

Abstract
The accurate and efficient detection of shoppers and classification by age group, gender, and cart or trolley in supermarkets is essential for strategic retail planning. With the advent of deep learning algorithms, various models based on Convolutional Neural Networks (CNNs) have been proposed for object detection in high-resolution spatial images. In this article, we proposed an architecture that consists of two phases: a first phase of shopper detection where we conducted a comparative study of three well-established CNN-based models, namely Single Shot Multi-Box Detector (SSD), You Look Only Once-v8 (YOLOv8), and Faster R-CNN, to detect shoppers by age group, gender, and shopping basket. Transfer learning and fine-tuning approaches were implemented to train the models. The evaluation results for accuracy and efficiency show that YOLOv8 achieved the best performance in terms of mean Average Precision (mAP), Frames Per Second (FPS) metrics, and visual inspection. SSD demonstrated an advantage in terms of detection speed with an FPS twice as high as Faster R-CNN, although their mAP was close on the test set. The trained models were also applied to two independent test sets, proving their transferability and the importance of higher resolution images for accuracy improvement. In the second phase, we conducted a comparative study among the classification models Residual Network 50 (ResNet50), the Visual Geometry Group(VGG) 16 and 19 family, and Densely Connected Convolutional Network 121 (DenseNet121). We found a positive prediction rate of 99.28% for the VGG16 model and 98.55% for VGG19, with the others having a rate that is not too far off.
DPP2/7 is a Potential Predictor of Prognosis and Target in Immunotherapy
in Colorectal Cancer: An Integrative Multi-omics Analysis
Authors: Shang Zhihao , Lai Yueyang , Cheng Haibo 
Published: March 2024

Background::
Colorectal cancer (CRC) ranks among the leading causes of cancerrelated
deaths.

Objective::
This study aimed to illuminate the relationship between DPP7 (also known as
DPP2) and CRC through a combination of bioinformatics and experimental methodologies.

Methods::
A multi-dimensional bioinformatic analysis on DPP7 was executed, covering its expression,
survival implications, clinical associations, functional roles, immune interactions, and
drug sensitivities. Experimental validations involved siRNA-mediated DPP7 knockdown and
various cellular assays.

Results::
Data from the Cancer Genome Atlas (TCGA) identified high DPP7 expression in solid
CRC tumors, with elevated levels adversely affecting patient prognosis. A shift from the N0 to
the N2 stage in CRC was associated with increased DPP7 expression. Functional insights indicated
the involvement of DPP7 in cancer progression, particularly in extracellular matrix disassembly.
Immunological analyses showed its association with immunosuppressive entities, and
in vitro experiments in CRC cell lines underscored its oncogenic attributes.

Conclusion::
DPP7 could serve as a CRC prognosis marker, functioning as an oncogene and
representing a potential immunotherapeutic target.
Health Care Professionals’ Perspectives Before and After Use of eDialogue for Team-Based Digital Communication Across Settings: Qualitative Study
Authors: Jensen Lili Worre Høpfner , Rahbek Ole , Lauritsen Rikke Emilie Kildahl , Kold Søren , Dinesen Birthe 
Published: March 2024

Background
Orthopedic surgical treatment is a transversal task that requires the active involvement of patients, relatives, and health care professionals (HCPs) across various settings. However, after hospital discharge, communication is challenged and undertaken primarily by phone. New digital communication solutions have the potential to create a space for seamless and patient-centered dialogue across discipline and sector boundaries. When evaluating new communication solutions, knowledge about HCPs’ needs and perspectives of use must be explored, as it is they who are responsible for implementing changes in practice.

Objective
This study aimed to (1) investigate HCPs’ perceptions of current communication pathways (phase 1) and (2) explore their experiences of using a simple messenger-like solution (eDialogue) for team-based digital communication across settings (phase 2).

Methods
We used a triangulation of qualitative data collection techniques, including document analysis, observations, focus groups, and individual interviews of HCPs before (n=28) and after (n=12) their use of eDialogue. Data collection and analysis were inspired by the Consolidated Framework for Implementation Research (CFIR) to specifically understand facilitators and barriers to implementation as perceived by HCPs.

Results
HCPs perceive current communication pathways as insufficient for both patients and themselves. Phone calls are disruptive, and there is a lack of direct communication modalities when communication crosses sector boundaries. HCPs experienced the use of eDialogue as a quick and easy way for timely interdisciplinary interaction with patients and other HCPs across settings; however, concerns were raised about time consumption.

Conclusions
eDialogue can provide needed support for interdisciplinary and cross-sectoral patient-centered communication. However, future studies of this solution should address its impact and the use of resources.