bluuebunny/crossref_metadata_2025_split huggingface dataset:
Overexpression of Fatty Acid Synthase Attenuates Bleomycin Induced Lung Fibrosis by restoring mitochondrial dysfunction in mice
Authors: Shin Hyesun , Park Shinhee , Hong Ji su , Baek Ae-Rin , Lee Junehyuk , Kim Do-Jin , Jang An-Soo , Chin Su Sie , Jung Sung Hwan , Park Sung-Woo 
Published: February 2023

Abstract
Proper lipid metabolism is crucial to maintain alveolar epithelial cell (AEC) function, and excessive AEC death plays a role in the pathogenesis of idiopathic pulmonary fibrosis (IPF). The mRNA expression of fatty acid synthase (FASN), a key enzyme in the production of palmitate and other fatty acids, is downregulated in the lungs of IPF patients. However, the precise role of FASN in IPF and its mechanism of action remain unclear. In this study, we showed that FASN expression is significantly reduced in the lungs of IPF patients and bleomycin (BLM)-treated mice. Overexpression of FASN significantly inhibited BLM-induced AEC death, which was significantly potentiated by FASN knockdown. Moreover, FASN overexpression reduced BLM-induced loss of mitochondrial membrane potential and the production of mitochondrial reactive oxygen species (ROS). Oleic acid, a fatty acid component increased by FASN overexpression, inhibited BLM-induced cell death in primary murine AECs. FASN transgenic mice exposed to BLM exhibited attenuated lung inflammation and collagen deposition compared to controls. Our findings suggest that defects in FASN production may be associated with the pathogenesis of IPF, especially mitochondrial dysfunction, and augmentation of FASN in the lung may have therapeutic potential in preventing lung fibrosis.
PhD holders’ working conditions and job satisfaction in Spain: A cross-sector comparison
Authors: Sala-Bubaré Anna , Garcia-Morante Marina , Castelló Montserrat , Weise Crista 
Published: February 2023

Abstract

The present study aimed to compare three job sectors regarding PhD holders’ current working conditions and satisfaction, and whether their working conditions changed after they completed the PhD. We analysed the responses gathered in the survey on the employability of PhD graduates carried out in 2020 by the Catalan University Quality Assurance Agency, AQU Catalunya. Participants were 1,798 PhD holders from all disciplines who graduated between 2014 and 2016 and worked across three job sectors: universities, research institutes and outside academia. Our results offer clear evidence that the working conditions were better for PhD holders working outside academia in terms of the type of contract, working hours and salary, although the connection between their doctoral studies and work is particularly weak. However, we did not find differences in satisfaction with the job content and overall job satisfaction among the three sectors. We also found a clear mismatch between the degree required for the job and the level of responsibilities, not only for PhD holders working beyond academia but also, to a lesser extent, for those working at universities and research institutes. This study contributes to the understanding of academic and non-academic trajectories and points out several gaps and lines for future research and doctoral education.
Heavy quasiparticles and cascades without symmetry breaking in twisted bilayer graphene
Authors: Datta Anushree , Calderon Maria Jose , Camjayi Alberto , Bascones Elena 
Published: February 2023

Abstract
Among the variety of correlated states exhibited by twisted bilayer graphene (TBG), the cascades in the spectroscopic properties and in the compressibility happen in a larger energy, twist angle and temperature range in comparison to other effects, pointing to a hierarchy of phenomena. Using Dynamical Mean Field Theory + Hartree calculations, we show that the spectral weight reorganization associated to the formation of local moments and heavy quasiparticles, and not a symmetry breaking process, is responsible for the cascade phenonema. Due to the fragile topology of TBG, a strong momentum differentiation is found in the incoherent spectral weight. The phenomena reproduced here include the cascade flow of spectral weight, the oscillations of the remote band energies and the asymmetric jumps of the inverse compressibility
Application of wearable devices based on deep learning algorithm in rope skipping data monitoring
Authors: Yongmao Zhang , Yuxin Liu 
Published: February 2023

Abstract
At present, wearable devices have some problems, such as poor adaptability to human motion behavior, and the recognition accuracy required for different wearers cannot be achieved. Based on the principle of deep learning algorithm, this paper realizes the development of intelligent rope skipping movement data monitoring system. Through the universal human body analysis model, the attention mechanism is introduced and embedded into the decoding network. The data set of rope skipping is classified by multiple labels, and the convolution of spatial graph is constructed, which is extended to the time series dynamics of moving human skeleton data. Aiming at the problem of complex information data in the process of moving human body recognition, we use pose estimation to calculate the key points of moving human body, extract the dynamic structure information of human skeleton sequence. Due to the problems of line of sight occlusion in the process of moving human target tracking, a target tracking algorithm based on multi domain convolution neural network is adopted to improve the feature extraction ability of the algorithm by segmenting the target to be tracked and identifying the area around the target. The data set of rope skipping is collected by wearable sensors, and the difference in the numerical range may be large, so the data is normalized. Finally, through the loss function, the fitting effect of neural network can be evaluated, and the gradient optimization model parameters can be calculated, and coping with different data changes. Through the final system performance test, it is verified that the accuracy rate of the system designed in this paper is above 90%, which can effectively monitor the data of skipping rope and be used in the actual operation of skipping rope.
Purification and Characterization of a Glucose tolerant β-Glucosidase from a Newly Isolated Neofusicoccum Parvum strain F7: Production Optimization using Plackett Burman and Box Behnken
Authors: Singh Nivisti , Sithole Bruce , Kumar Ajit , Govinden Roshini 
Published: February 2023

Abstract
Endoglucanases, exoglucanases and β-glucosidases act synergistically to hydrolyse cellulose into glucose monomers. Thus, this study aimed to improve production of a β-glucosidase from a newly isolated Neofusicoccum parvum strain F7 by optimizing the culture conditions and medium components using Plackett-Burman Design (PBD) and Box Behnken Design (BBD). β-Glucosidase production was significantly enhanced (p-value≤0.05) by 1.5-fold to 2.5 U/ml by BBD as compared to the preliminary one variable at a time (OVAT) experiments of (1.6 U/ml). The optimal conditions for enzyme production by BBD were 12 days of fermentation at 20°C, 175 rpm, 0.5% glycerol and 1.5% casein in 50 mM sodium phosphate (pH 6.0) buffer. Three β-glucosidase isoforms referred to as Bgl1, Bgl2, Bgl3 were purified and characterized from the optimized crude extract displaying IC50 values of 2.6, 22.6 and 319.5 mM for glucose, respectively. Bgl3 with a molecular weight of approximately 65 kDa displayed the highest tolerance to glucose among the isoforms. The optimum activity and stability for Bgl3 was observed at pH 4.0 in 50 mM sodium acetate buffer with 80% β-glucosidase residual activity retained for three hours. This isoform also retained 60% residual activity at 65°C for one hour which was then reduced to 40 % which remained stable for another 90 minutes. The β-Glucosidase activity of Bgl3 was not enhanced after the addition of metal ions in assay buffers. The Km and vmax for 4-nitrophenyl-β-D-glucopyranoside were found to be 1.18 mM and 28.08 µmol/min, respectively indicating high affinity to the substrate. The ability to withstand the presence of glucose in conjunction with its thermophilic nature indicates promise for the enzyme in industrial application.
Effects of family function, depression, and self-perceived burden on loneliness in patients with type 2 diabetes mellitus: A serial multiple mediation model
Authors: Zhang Yu , Li Xiangning , Bi Yaxin , Kan Yinshi , Liu Hongyuan , Liu Lin , Zou Yan , Zhang Ning , Fang Li , Gong Weijuan 
Published: February 2023

Abstract
Background
Type 2 Diabetes mellitus (T2DM) has become a major lifestyle disease endangering human health worldwide. Patients with T2DM face varying degrees of loneliness, which adversely affects their family and the larger society. This study investigates the serial multiple mediating roles of depression and self-perceived burden between family function and loneliness in the T2DM population of China.
Methods
In total, 260 T2DM patients were included. They rated themselves based on UCLA Loneliness Scale, Self-Rating Depression Scale, Self-Rating Anxiety Scale, Family Care Index, and Self-Perceived Burden Scale. Pearson and Spearman correlation analyses were conducted to clarify the association among variables. The SPSS macro-PROCESS program was used for a series of multiple mediation analyses.
Results
Family function, depression, self-perceived burden, and loneliness were significantly correlated (P < 0.01). Family function not only has a direct negative impact (effect = -2.809; SE = 0.213; 95%CI: LL = -3.228, UL = -2.390) on loneliness, but also has an indirect impact on loneliness through the independent mediating role of depression (effect = -0.862; SE = 0.165; 95%CI: LL = -1.202, UL = -0.567) and self-perceived burden (effect = -0.288; SE = 0.107; 95%CI: LL = -0.525, UL = -0.114) and the chain mediating role of depression and self-perceived burden (effect = -0.202; SE = 0.066; 95%CI: LL = -0.342, UL = -0.088).
Conclusions
Diversified interventions aimed at improving family function of T2DM patients would help in reducing the level of depression and self-perceived burden, and ultimately reducing loneliness.
Characteristics of falls among older hip fracture patients from six Chinese hospitals: a post- hoc analysis
Authors: Peng Junyi , Ye Pengpeng , Zhang Jing , Zhang Xinyi , Peng Ke , He Jiusheng , Wen Liangyuan , Wang Xianhai , Shi Zongxin , Hu Sanbao , Sun Fengpo , Gong Zishun , Sun Mingyao , Liu Tingzhuo , Liu Xinyan , Ma Ruofei , Zhu Shiwen , Wu Xinbao , Ivers Rebecca , Yang Minghui , Tian Maoyi 
Published: February 2023

Abstract
Background
There is well-established evidence to understand the characteristics of falls among the older patients with hip fracture in many countries, but very little knowledge existed in China. This study described the characteristics of falls in older patients with hip fractures from six Chinese hospitals.
Methods
This cross-sectional study is a post-hoc analysis of a recently completed trial. Eligible patients were aged 65 years and older, with confirmed hip fractures due to falls, and were admitted to the hospital within 21 days of the fracture. All patients were consecutively enrolled and screened within one year (November 15, 2018, to November 14, 2019). The collected data included patient demographics and fall-related information.
Results
A total of 1,892 patients’ fall-related information were described. Most patients with hip fractures caused by falls were in the oldest old age group (60.4% in age group ≥80), with an overall average age of 80.7 (7.6) years. There were more females (n=1,325, 70.0%) than males (n=567, 30.0%). The majority lived in urban (n=1,409, 74.5%). Most falls (n=1,237, 67.3%) occurred during the daytime (6:01-18:00). There were 1,451 patients had their falls occurring at home (76.7%). Lost balance (n=1,031, 54.5%) was reported as the primary reason to cause falls. The most common activity during a fall was walking (n=1,079, 57.0%).
Conclusions
Although the incidence of fall-related hip fractures in China is unclear, preventing falls and fall-related hip fractures in older people remains an urgent health concern as the ageing society increases. Studies with larger sample size and diverse population are needed to robustly understand this growing epidemic.
Design of art teaching multimedia system based on genetic algorithms and computer network
Authors: Jing Chen 
Published: February 2023

Abstract
The application of multimedia technology and the development of computer networks always affect the lifestyle and behavioral habits of modern people, and also affect the education and learning methods of modern people. The genetic algorithm is called the form of calculation of the evolution algorithm, and it has the characteristics of parallelism and overallity and space search. This form is gradually brought into a large -scale cluster system. The article comprehensively considers the time, reliability, algorithm broadband and cost of each individual, and the demand display from 4 different aspects, and designed in the form of an adaptation function of the art teaching multimedia system to ensure the teaching service of teaching services quality. Eventually combined with the design of the courseware system of art teaching, and discussed the design and research and development of multimedia networks in the form of art teaching. R & D forms mainly include: preparation production of online courseware, development of online courseware, the operation and programming of online courseware, and the test and evaluation of online courseware. This design system research shows that the multimedia network system design under the art teaching is very important, which is the basis of the whole network teaching. For the system design and research of the whole art teaching understanding, it is the need to change and innovate technology, and also the only way for art design.
Research of Natural Language Processing Based on Dynamic Search Corpus in Cultural Translation and Emotional Analysis
Authors: Junya Wang 
Published: February 2023

Abstract
In order to enable students to directly face empirical data, summarize translation rules and learn translation skills, this paper studies the basis, motivation and methods of applying research dynamics in translation and teaching. Presenting data in class is the main method of dynamically searching corpora, which enables learners to face enough bilingual data that are easy to choose, and makes translation skills and teaching of translation of selected language items relatively focused. In recent years, the emotional analysis text has attracted academic scientists, and the professionals involved in the research, the use of research methods, and the cultural background related to language have become more and more extensive. In this paper, natural language processing is used to analyze emotions contained in translated texts. Natural language processing not only helps to manage the huge ability of data to efficiently translate text, but also helps to extract the hidden emotions in text translation. It only takes half the effort to achieve the multiplier effect. The multi label classification in natural language processing can reflect the information contained in emotion. The translated text is more detailed, which is helpful for further research.
Migraine-Like Headache Accompanied by Vertigo as Presenting Symptoms of Multiple Sclerosis (MS): a Case Report from Iran
Authors: Abrishamchi Fatemeh , Rajabi Ali 
Published: February 2023

Abstract
Background: Multiple sclerosis (MS) may have atypical presentations, one of whom being migraine-like headaches. This could be explained as following: the demyelination process in MS may involve brain structures or signaling pathways involved in migraine physiopathology, and therefore, simulate migraine headaches.
Case presentation: This case report is about a middle-aged male who developed a new-onset severe headache with migraine properties accompanied with vertigo, and was finally diagnosed with MS.
Conclusions: MS may have atypical presentations like severe headaches accompanied by additional symptoms, indicating the involvement of various brain structures; when working up such headaches, MS should be kept in mind besides other etiologies like vascular, infectious, and neoplastic conditions, and even primary migraine.
Dynamic behavior of time-fractional Benjamin-Bona-Mahony-Burger model in fluids
Authors: Tariq Kalim U. , Inc Mustafa , Hashemi Mir Sajjad 
Published: February 2023

Abstract
We investigate the Benjamin-Bona-Mahony-Burger model (BBM-B), a time-fractional model that is important for characterizing the dynamics of water waves, including those caused by cracked rocks, thermodynamics, a-harmonic crystal acoustic waves, and fluid acoustic-gravity waves. This results in the production of a wide range of travelling wave shapes, including bright, dark, periodic, optical, multi, and single-bell shaped forms. By choosing the proper values for the relevant parameters, the generated solutions are also visualized using 3D, contour, and 2D charts. Additionally , the governing model’s stability study is looked into. The outcomes demonstrate the success and effectiveness of the integration procedures, which may be used with several different models.
Stacked Ensemble Machine Learning for Porosity and Absolute Permeability Prediction of Carbonate Rock Plugs
Authors: Kalule Ramanzani , Abderrahmane Hamid Ait , Alameri Waleed , Sassi Mohamed 
Published: February 2023

Abstract
This study employs a stacked ensemble machine learning approach to predict carbonate rocks' porosity and absolute permeability with various pore-throat distributions and heterogeneity. Our data set consists of 2D slices from 3D micro-CT images of four carbonate core samples. The stacking ensemble learning approach integrates predictions from several machine learning-based models into a single meta-learner model to accelerate the prediction and improve the model's generalizability. We used the randomized search algorithm to attain optimal hyperparameters for each model by scanning over a vast hyperparameter space. To extract features from the 2D image slices, we applied the watershed-scikit-image technique. We showed that the stacked model algorithm effectively predicts the rock's porosity and absolute permeability.
WITHDRAWN: Document-Level Relation Extraction based Knowledge Graph Construction for Industrial Domain
Authors: Han Zhulin , Wang Jian 
Published: February 2023

Abstract
With the increasing complexity of production scenarios, a large amount of production information is stored in the enterprises of industrial domain. How to in-depth tap the value of complex document information and establish information links are important questions. In this paper, a framework of knowledge graph construction in industrial domain based on document-level relation extraction is proposed. To improve the accuracy of named entity recognition, domain knowledge is added to the word embedding matrix initialization of BiLSTM-CRF. For the task of relation extraction, this paper proposes the Knowledge-Aided Graph Inference network (KAGI), a relation extraction method for long paragraphs in industrial domain, which captures the complex interactions among entities by constructing document graph and innovatively adds knowledge representation to node construction and path inference through TransR. At the application level, BiLSTM-CRF and KAGI are used to construct knowledge graph from knowledge representation model and Chinese fault reports for steel production line, SPOnto and SPFRDoc respectively. The quality of the extracted knowledge graph meets the requirements of actual production environment applications. The result shows that KAGI can deeply mine the production reports and extract rich knowledge and patterns from them, which providing a solution for production management.
Codescent and bicolimits of pseudo-algebras
Authors: Osmond Axel 
Published: February 2023

Abstract
We categorify cocompleteness results of monad theory, in the context of pseudomonads. We first prove a general result establishing that, in any 2-category, weighted bicolimits can be constructed from oplax bicolimits and bicoequalizers of codescent objects. After prerequisites on pseudomonads and their pseudo-algebras, we give a 2-dimensional Linton theorem reducing bicocompleteness of 2-categories of pseudo-algebras to existence of bicoequalizers of codescent objects. Finally we prove this condition to be fulfilled in the case of a bifinitary pseudomonad, ensuring bicocompleteness.
MSC2020. 18N15; 18N10; 18C15;
Contradictory effects of machining conditions on wear in the main cutting zones of the twist drill
Authors: NACER MOKAS , SAMI BOUADILA , ABDELAZIZ AMIRAT 
Published: February 2023

Abstract
The present work is a fulfilment study on previous contribution presented by Mokas et al (2018) through investigation on the effect of chisel wear on the machinability of hardened C22 steel under drilling operations using twist high-speed steel (HSS) grade drill bits. Therefore, the evolution of wear in twist drill bits with respect to both flank and chisel edges has been reconsidered in order to sort out the most dominant wear rate in drill edges. Experimental investigation has been conducted on annealed and hardened C22 steel according to the planning experience methodology (L8). The input parameters are cutting regime elements, cutting speed, feed rate, and drill diameter; meanwhile, the output parameter is the chisel wear related to tool life. Results show that eventually, drilling annealed material generates much better tool life. Relatively to flank wear, chisel wear has great effect in some cutting conditions. In the annealing condition, flank wear is still most dominant and depends on the cutting speed. The higher cutting speed the lower the tool life. When drilling hardened material chisel wear becomes competitive with the flank wear as for some cutting parameters it is faster than flank wear. The feed rate is rather more influencing and the controversial effect of the cutting speed is confirmed with the chisel wear. Results are of great importance for industrial application where drilling hardened steel is required.
Investigation of the effects of sea, drinking, mineral and fountain water on microstrip patch antenna
Authors: Duman Mehmet , Mert Oğuzhan , Özkan Rabia , Ramazan Feyza , Yılmaz Yusuf , Duman Mustafa 
Published: February 2023

Abstract
Antennas are exposed to various environmental conditions while transmitting or receiving signals. Although they are intended to work outdoors or in areas that will not cause signal attenuation, they cannot always find such an environment. Water puddles in front of the antenna’s radiation pattern due to rain or other reasons cause wave attenuation. The fact that the electrical conductivity value in water is about 80 times higher than in air or space causes a significant decrease in the speed of electromagnetic waves. As a result of these problems, undesirable situations occur in the value of the scattering parameter S11, which is an important feature for antennas. In this study, the theoretical, simulation and production stages of a microstrip patch antenna are done. S11 values are measured by using a Nano-VNA for each of the different environment where salt water taken from the Black Sea coast, fresh water, mineral water, fountain water, and finally in the open air environment. The attenuation values are compared at 2.1 GHz frequency. As a result of the design, simulation and measurements, it has been seen that the main weakening is due to water. Water renders the antenna inoperable.