bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biopolymer-containing formulations to render acrylic fabrics fire resistant and anti-static
Authors: El-Sayed H. , Mohamed A. L. , Abou-Taleb M. 
Published: August 2023

Abstract
A synergy of phytic acid (PA) and proteinic biopolymer, namely keratin and sericin, was adopted to boost the resistance to flame, ultraviolet rays, and electrostatic charges, as well as enhance hydrophilicity of acrylic fabric. An efficient flame retardant (FR) was synthesized by reacting calculated amounts of PA and pentaerythritol (PE) to form hexa-pentaerythritol phytate ester (HPP), which in turn reacted with a proteinic bioplymer in the presence or absence of a crosslinking agent to produce a multifunctional FR formulation. The prepared formulation was utilized as a multifunctional textile auxiliary for improving the resistance of alkali-hydrolyzed acrylic fabric to flame and UV rays and for enhancing its hydrophilic and anti-static properties. The solubility of the prepared formulation in different solvents at different temperatures was examined. The chemical structure of the synthesized functional FR was investigated using FTIR and by determining its phosphorus, nitrogen, and carboxylic contents. The mechanism of reaction between the synthesized FR and the hydrolyzed fabric was proposed. The discrepancy between the topography of the treated and untreated fabrics was monitored using scanning electron microscopy. The results revealed that the treated acrylic fabric exhibited a durable and superior resistance to flame, which was not adversely affected by washing up to 20 times. The anti-static property and wettability of the treated fabrics were highly improved, whereas their resistance to the deteriorative action of UV rays was enhanced to an almost adequate level. The proposed process is an additive method for improving some performance and comfort attributes of acrylic fabric without causing severe loss in the fabric’s strength.
A method for isolating and culturing ectopic epithelial and stromal cells to study human adenomyosis
Authors: Fang Zhou , Wang Jianzhang , Li Tiantian , Yin Meichen , Peng Yangying , Zhang Xinmei 
Published: August 2023

Abstract

Purpose
Although adenomyosis is a common and benign gynecological disease, the specific pathogenesis of this condition has yet to be fully elucidated. It is difficult to culture primary cells of the ectopic endometrial epithelia and stroma from human adenomyosis lesions. Most previous of studies on adenomyosis were based on primary eutopic endometrium cells. However, as yet, no efficient protocols have been developed for the isolation, culture or purification of primary ectopic epithelial and stromal cells from human adenomyosis lesions. Therefore, the present study aimed to develop an efficient protocol for the isolation and culture of primary ectopic epithelial and stromal cells from human adenomyosis lesions.
Methods
In the present study, we aimed to obtain ectopic endometrium tissue from human adenomyosis foci and use a simple and operable type I collagenase digestion method for primary culture. Cells were isolated by sterile cell strainer filtration and flow cytometry was performed to identify, purify and evaluate the viability of isolated ectopic endometrial cells.
Results
Using our method, we successfully isolated and cultured highly purified and active ectopic endometrial epithelial and stromal cells from human adenomyosis foci. Ep-CAM was expressed in ectopic epithelial cells of human adenomyosis with a purity of 93.74% and a viability of 80.58%. In addition, CD10 were robustly expressed by ectopic stromal cells in human adenomyosis. Cellular purity and viability were determined to be 96.37% and 93.49%, respectively.
Conclusion
Our method provides a new experimental model for studying the molecular pathogenesis of human adenomyosis.
Next Generation Optimization Network of Mining Driving Factors for Operating Project in Enterprise Management Platform
Authors: Cui Ranhong , Ma Hengguo 
Published: August 2023

Abstract
In order to ensure the normal advancement of enterprise operating projects, an artificial intelligence based method of mining driving factors for operating projects in enterprise management platform is proposed. In this method, project driving factors are selected from different project stages and dimensions to form a driving factors set of operating projects in the enterprise management platform. After using the Analytic Hierarchy Process (AHP) method to impute missing data in the driving factors set of operating project in the enterprise management platform, the imputed driving factors data is used as an improvement support vector machine input to output the mining results of driving factors for operating project in the enterprise management platform. The experimental results show that this method can effectively interpolate the data of project driving factors with trends, and also effectively output the driving factors at different stages of the project. The F1 value of the output results is high, and the mining of project driving factors for operating project in the enterprise management platform is more accurate.
Light Pipe Configurations Based on Daylight Simulations; Straight and Elbowed Pipe Models
Authors: Atalay Fatmanur , Kurtay Cüneyt 
Published: August 2023

Abstract
Light pipes are one of the most effective ways of transmitting daylight deeper into buildings, away from facades and windowless areas. To adapt in complex building structures, one or more elbows must be used to change the direction of light, however, an elbowed pipe is known to cause more light loss than a straight pipe of equal length. This paper presents a research study on different configurations for straight and elbowed light pipes via the accurate simulation tools, which is another light transmission efficiency method. Case study is defined in three main stages: identification of the optimum model by trying different elbow models; comparison of light pipes, which are generally used straight, and the elbow model attached to bottom interface of the pipe at an angle of 45°; comparison of double elbow light pipes with 45° and 90° elbow angles. Basic software series consist with 3D-based Rhinoceros, algorithmic graphical editor Grasshopper, simulate daylight Ladybug and Honeybee plugins. The analyzed parameters are maximum and average illumination level, Daylight Factor (DF) and Daylight Autonomy (DA). According to the illumination levels, DA and DF results, in overcast sky conditions, it is possible to provide approximately 50% of the required light level for the space with daylight using light pipe systems.
The effect of background information and motion speed on the performance of TTC estimation
Authors: Tong Yao , Zhou Tie-min 
Published: August 2023

Abstract
Background
Motion perception is an essential skill for individuals in everyday life, and estimating when a moving object will reach a given position is a very important ability. In previous studies, most research on motion perception have been conducted under background-free condition when the stimulus moved in a plane parallel to the observer. In real-life situations, people’s perception of the motion state of objects is usually done under different visual noise. Based on the occlusion paradigm, this study aimed to investigate whether different background information and motion speed affect the trend and accuracy of time-to-collision (TTC) estimation when stimuli move in a plane parallel to the observer.
Methods
35 college students(mean age = 20.94, SD = 2.95, range = 18-28years) participated in experiment 1, and used a 2 (background orientation: horizontal, vertical) × 3 (motion speed: slow, medium, fast) two-factor within-subjects experimental design to explore the effect of different line segment orientations and motion speed on TTC estimation performance; 36 college students(mean age = 20.81, SD = 2.82, range = 18-28years) participated in experiment 2, and used a 2 (background dimension: two-dimensional background, three-dimensional background) × 3 (motion speed: slow, medium, fast) two-factor within-subjects experimental design to explore the effect of different background dimensions and motion speed on the performance of TTC estimation. The data were analyzed using SPSS 25.0.
Results
The results revealed that: (1) The TTC was underestimated for the slow speed condition and overestimated for the medium and fast speed conditions. (2) The highest accuracy of TTC estimation was obtained for the fast condition. (3) The TTC were overestimated for the vertical background condition and underestimated for the horizontal background condition. (4) The TTC were more accurately estimated for the vertical line segment background in the slow condition and the horizontal line segment background in the medium speed condition. (5) Compared to the two-dimensional background, the TTC was overestimated in the three-dimensional background.
Conclusions
Object motion speed affected the TTC estimation performance, and different background information affected the TTC estimation performance when the object moved in a plane parallel to the observer. Meanwhile, the impact of background orientation and motion speed showed significant interactions.
Ambient mass spectrometry imaging of banana (Musa spp.) tissue with infrared laser-based selected reaction monitoring mass spectrometry imaging
Authors: Nizioł Joanna , Misiorek Maria , Ruman Tomasz 
Published: August 2023

Abstract
In this study, for the first time we present the application of an infrared (IR) laser ablation-remote-electrospray ionization (LARESI) platform coupled to a tandem mass spectrometer (MS/MS) operated in selected reaction monitoring (SRM) or multiple reaction monitoring (MRM) modes for targeted metabolite imaging in intact plant tissues. The primary objective of this study was to investigate the spatial distribution of specific metabolites in banana tissue sections from two commercially available banana varieties: Red Dacca and Cavendish banana (Musa acuminata from AAA banana cultivar group). To support MSI results, an extensive analysis of banana tissue extracts was conducted using ultra-high-performance liquid chromatography and ultra-high-resolution mass spectrometry (UHPLC-UHRMS). In the Cavendish banana, 12 metabolites were successfully identified, while Red Dacca Bananas were found to contain 16 amino acids. The spatial distribution of some of these compounds found in bananas was presented for the first time. The results highlight the potential of the LARESI MSI technique as a highly sensitive and rapid method for targeted imaging of plant tissues. Importantly, this approach eliminates the need for high vacuum conditions and the pretreatment of biological materials, making it an efficient and promising tool for studying metabolites in plant tissues.
Vortex identification based on the Liutex method and its effect on fish passage upstream
Authors: Yang Ruiguo , Shen Chunying , shi Xiaotao , Wang Mingming , He Shihua 
Published: August 2023

Abstract
Fishway research is important for mitigating the fragmentation of river habitats caused by hydraulic projects. The vertical slit fishway is a broadly used fishway type because of its high efficiency and adaptability to water levels. However, the resulting vortex current disrupts the fish passage hence directly affecting fish migration. This study aims to accurately capture the vortex structure in the fishway and analyze the effect of vortex elements (vortex structure, vortex intensity, etc.) on fish. We conducted an analysis of the three-dimensional current flow field in the fishway through the utilization of an experimental model and the Large Eddy Simulation (LES) method for dynamic stress. Moreover, we captured the vortex information in the fishway at different flow rates using the Liutex vortex identification method and investigated the effect of the vortex on fish migration. The results revealed that the structures inside the fishway pool occupy most of the room; however, the areas with higher vortex strength were primarily located in the vortex near the vertical seam and the mainstream; the vortex strength inside the fishway gradually increases with increasing flow, suppressing fish migration. Fish experienced significantly increased resistance when encountering strong vortexes. This suggests that the vortex may act as a physical barrier to fish migration. These findings highlight the potential negative effects of vortex on fish movement and reiterate the importance of understanding vortex dynamics for aquatic environmental management. As an effective tool for identifying vortexes in fluid flow, the Liutex method demonstrates features of vortex within the fishway, thereby providing important insights into the interaction between fluid dynamics and aquatic organisms.
A Deep Learning Clustering Beamforming Approach for Future 6G Mobile Ad Hoc Networks
Authors: Inzillo Vincenzo , Garompolo David 
Published: August 2023

Abstract

The rapid advancement of wireless technologies and the increasing demand for seamless, high-speed connectivity has spurred the need for efficient routing protocols in 6G Mobile Ad Hoc Networks (MANETs). This paper proposes a modern approach, the Deep Learning Clustering Beamforming Massive MIMO Routing Protocol (DLCB), that is designed to achieve high level throughput by exploiting beamforming advantages and for enhancing communication efficiency for future next generation 6G MANETs. The DLCB algorithm establishes robust and efficient routes for data transmission by adopting a clustering strategy based on deep learning allowing to select cluster heads by taking advantage of Graph Neural Networks (GNN) features and creating effective cluster paths. Furthermore, this approach integrates IEEE 802.11ay and Massive MIMO technologies to exploit their benefits in terms of high-speed data transmission, improved network capacity, and better signal quality. DLCB aims to facilitate seamless data transmission in dynamic network environments, paving the way for enhanced network performance in 6G MANETs. Experimental evaluations and simulations are conducted to validate the performance of the proposed approach through the use of Omnet++ Network Simulator.
WITHDRAWN: A Survey on the Performance Analysis of NOMA-Assisted Cognitive Radio Sensor Networks
Authors: Asha Sugumar , Janani Selvaraj 
Published: August 2023

Abstract

The wireless communication system has been facing a technological revolution due to the shift through various generations. To fulfil the 5G and beyond 5G (B5G) networks, we need to improve the spectral efficiency under certain limitations with enhanced security and reliability compared to the currently deployed systems. According to the massive transmission demand of wireless devices, we need to consider spectral efficiency, less energy consumption, and security for future wireless communication networks. Taking into account the aforementioned research gap, concerning the comparison of spectral efficiency and energy efficiency, this paper addresses the challenge that lies in enhancing resource allocation and identifying future research avenues for next-generation wireless communication networks. In this study, we investigate Non-Orthogonal Multiple Access (NOMA)-assisted Cognitive Radio Sensor Networks (CRSN), an adaptive intelligent radio that can automatically detect the channels in the wireless spectrum and change transmission parameters enabling more communication for better spectrum utilization without causing any interference to the licensed user. A Cognitive radio NOMA extensively improves network capacity by utilising the same frequency bandwidth distinguished by power allocation. This paper analyses the study of existing survey papers by comparing the performance metrics of NOMA with other techniques, the role of NOMA in 5G and B5G networks, NOMA’s network and its architecture and performance indicators.
Continuous mechanical compression-induced intervertebral disc degeneration and pain in the caudal spine in rats
Authors: Chen Fei , Chen Jiayu , Pu Junjie , Deng Yiling , Qi Junhui , Kong Fangyi , Li Na 
Published: August 2023

Abstract
Purpose
Low back pain is a common disease with increasing incidence and disability rates that places an economic burden on families and society. Intervertebral disc degeneration (IVDD) is one of the main causes, but the mechanism of degeneration and pain has not been fully elucidated. Nonphysiological loading is one of the main causes of IVDD. This project aimed to establish a rat model of IVDD and low back pain and to preliminarily study the mechanism of P2Y2 receptor (P2Y2R)-mediated regulation of IVDD.
Methods
Fifty-six SPF male SD rats at 8 weeks of age were randomly divided into 4 groups: a 2-week control group, a 2-week experimental group, a 3-week control group, and a 3-week experimental group. The experimental groups were subjected to 8 N pressure for 2 and 3 weeks using the Ilizarov device, while the control groups were not subjected to pressure. MRI and HE and SO-FG staining were used to detect the degree of intervertebral disc degeneration in each group of rats after modeling. Von Frey filaments were used to detect the mechanical pain behavior of rats in each group before modeling (Pro) and on the 3rd, 6th, 9th, 12th, and 15th days after removal of the Ilizarov device. Immunofluorescence analysis and Western blotting were used to detect the expression levels of P2Y2R, YAP and TAZ in the nucleus pulposus tissue of humans or rats with different degrees of degeneration.
Results
Compared to the control group, the 2-week experimental group showed a significant increase in intervertebral disc degeneration, which was further exacerbated in the 3-week experimental group. The mechanical pain threshold of the control group was significantly reduced on D3 compared to that in the Pro group but recovered to normal on D9, 12, and 15. However, the postoperative pain threshold of the experimental group was significantly reduced and remained at a lower level for 2 weeks after surgery compared to that in the Pro group. P2Y2R fluorescence expression was significantly enhanced in the IVDD group compared to the control group, and P2Y2R, YAP, and TAZ were coexpressed in the nucleus pulposus of humans and rats. As the degree of intervertebral disc degeneration increased, the protein expression of P2Y2R significantly increased, while the protein expression of YAP first increased and then decreased. Additionally, the protein expression of TAZ increased with increasing degeneration within a certain range.
Conclusions
Prolonged mechanical compression of the caudal spine in rats leads to disc degeneration and associated pain. Initial findings suggested that P2Y2R and YAP/TAZ, which are downstream components of the Hippo signaling pathway, may play a role in the development of disc degeneration. These observations provide a foundation for future research in this area.
Comparative Analysis of Clinical and Molecular Characteristics in Invasive Ductal Carcinoma of the Breast
Authors: Balar Shilpa , Joshi Esha , Rawal Rakesh , Saiyad Hiram , Haque Moquitul , Desai Urja 
Published: August 2023

Abstract
Purpose
Breast cancer is a complex and diverse disease with several molecular subgroups and clinical manifestations. In India, the prevalence of breast cancer is increasing. Infiltrating ductal carcinoma is the most prevalent histologic form of breast cancer. It is necessary to investigate all aspects of breast cancer using various analytical approaches.
Methods
We have investigated breast tumors extensively with immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), quantitative polymerase chain reaction (qPCR), and whole-exome sequencing (WES). The study consisted of 160 cases of invasive ductal carcinoma (IDC) in which Whole Exome Sequencing was performed in ten samples of IDC.
Results
The findings demonstrated that HER2 amplification levels were considerably lower in patients with low protein expression (IHC score 0 or 1+) compared to those with high expression (IHC score 3+). Gene amplification was seen in 41.3% of patients with moderate protein expression (IHC score 2+). We have also found that there was a high level of concordance between HER2 FISH and HER2/neu gene amplification in Group 1 (34%), Group 2(1%), Group 3 (1%), Group 4 (6%) and Group 5(58%) with significant p-value (p ≤ 0.05). The WES results demonstrated that the triple-negative breast cancer sample showed several SNPs and indels in genes including TP53, BRCA1, and MYCN, whereas the HER2 positive (HER2 + 3) group had substantial SNPs in PAK1, CUL3, and TP53.
Conclusion
Our study sheds light on the clinical and molecular aspects of IDC of the breast. These findings could potentially have effects on the diagnosis of disease progression, intervention effectiveness, and survival. Integrating several molecular approaches provided a thorough understanding of breast cancer subtypes and could assist in treatment selection.
Shedding light on conservation strategies for the invasive species Potamopyrgus antipodarum under changing climate
Authors: Aksu Sadi , Mercan Deniz , Arslan Naime , Emiroğlu Özgür , Haubrock Phillip J. , Soto Ismael , Tarkan Ali Serhan 
Published: August 2023

Abstract

Climate change and invasive species are two major global environmental challenges affecting freshwater ecosystems. This study investigates the preferences and potential distribution of Potamopyrgus antipodarum, an invasive species, in relation to climate zones and habitat types. It highlights the importance of coastal wetlands and high soil organic carbon content in determining the species' habitat suitability. The findings indicate that P. antipodarum exhibits a preference for cool temperate and moist climatic zones, as well as temperate floodplain rivers, wetlands, and coastal rivers. Coastal wetlands, with their high soil organic carbon content, are particularly critical for the species. In terms of distribution, the species is projected to expand significantly in North America, with potential extensions into South America. The case of Türkiye reveals an alignment between its habitat and the natural distribution areas of P. antipodarum. Although Türkiye may experience habitat contraction, it still possesses a broader range of potential habitats compared to other regions. The Eastern Black Sea Basin in Türkiye emerges as a potential future distribution direction for the species, influenced by historical geological transformations and distinct climatic variations. Climate suitability plays a vital role in the invasiveness of P. antipodarum, with anticipated future climate regimes impacting its dispersal capabilities. The adaptability of the species within its habitat raises concerns about its ecological impacts and implications for biodiversity conservation. Effective measures are necessary to mitigate the adverse effects of P. antipodarum in the face of its expanding global distribution and invasive potential. This study provides valuable insights into the potential range expansion and dispersal patterns of P. antipodarum. It underscores the importance of considering climate change and hydro-environmental characteristics when predicting and managing the impacts of invasive species on freshwater ecosystems. Further research and conservation efforts are required to address the ecological consequences of P. antipodarum expansion and the challenges posed by invasive species in the context of climate change.
KAl(SO4)2.12H2O (Alum) Reusable An Efficacious Heterogeneous Catalyst for the One-Pot Synthesis of Some New spiro[imidazo[1,2-a]pyridine-7,3'-indole]-2',5(1'H,6H)-dione Derivatives
Authors: Khatibshad Lilah , Azizian Javad , Mohammadi Ali Asghar 
Published: August 2023

Abstract
A one-pot four-component condensation reaction of isatins, meldrum's acid, diamine, and nitro ketene dithioacetal in the presence of heterogeneous catalyst KAl(SO4)2.12H2O (alum), which is relatively nontoxic, reusable very soluble in water, and inexpensive to yield a some new spiro[imidazo[1,2-a]pyridine-7,3'-indole]-2',5(1'H,6H)-dione derivatives is described.