bluuebunny/crossref_metadata_2025_split huggingface dataset:
Web Scraping as a scientific tool for theoretical reference
Authors: Farias Willian A. S. , Melo Dulce M. A. , Santos Lamara M. dos , de Oliveira Ângelo A. S. , Medeiros Rodolfo L. B. A. , Silva Yuri K. R. O. 
Published: January 2024

Abstract

The use of Web Scraping via Python reveals significant potential for its utilization as a scientific tool for data acquisition, playing a crucial role in constructing the theoretical framework in scientific writing. This study encompasses both the theoretical and practical aspects of the data acquisition process. Initially, the importance of ethics in online data collection is emphasized, respecting the terms of use and privacy regulations established by Nature. Web scraping is explored as an effective technique, supported by the Beautiful Soup and Requests libraries, which automate data extraction responsibly. The application of the Tkinter library for creating user-friendly graphical interfaces is discussed, allowing for more accessible interaction for all users. The relevance of the DataFrame as a structure for handling and analyzing tabular data is also highlighted, along with the strategic choice to save data in Excel format, enhancing accessibility and collaboration, courtesy of the Pandas library. Combined, these elements form a cohesive and ethical approach to web data acquisition and analysis, in harmony with the theoretical framework in scientific writing.
Improving the catalytic properties of xylanase from Alteromones Macleadii H35 through evolution analysis
Authors: Cui Caixia , xu jia , Wu Juntao , Wang Ningning , zhou chenyan 
Published: January 2024

Abstract
Endo-1,4-β-xylanase is considered one of the most important xylanolytic enzymes, and in this study, we aimed to improve the catalytic properties of Alteromones Macleadii xylanase (Xyn ZT-2) using an evolution-guided design approach. Analysis of the amino acid sequence revealed that the amino acids located in close proximity to the active site were highly conserved, with only a few amino acid differences. By introducing various mutations, we were able to modify the catalytic performance of the enzyme. Notably, the A152G mutation resulted in a 9.8-fold increase in activity and a 23.2-fold increase in catalytic efficiency. Furthermore, the optimal temperature of A152G was raised to 65°C, which is 20°C higher than that of Xyn ZT-2, and the half-life period of T287S was enhanced by 4.9 times. These findings demonstrate the significance of amino acid evolution in determining the catalytic performance of xylanase. By utilizing an evolution analysis to create a smaller mutation library, we efficiently enhanced the catalytic performance, thus providing a novel strategy for improving enzyme catalytic efficiency.
Digital Mapping of the General Population and Housing Census Based on the Geographical Information System
Authors: CAMARA Mahamadou , WANG Liying , Arouna SOUGANE , Diawara Abdoul , Ze You , LI Yu 
Published: January 2024

Abstract

A census is a process of counting the entire population of a country, territory, or region, and it should be conducted at least once every ten years. Mapping is the first efficient part of the census. This study explores Geographic Information System (GIS) utilization in the context of a digital census mapping project for Mali's fifth general population and habitat census. Integrating GIS in executing this census mapping aims to enhance data collection, mapping, and population enumeration accuracy and efficiency. This paper details the methodology used in this project, data collection tools, digitalization processes, and data transmission to a server. The collected data are then integrated into a GIS. The paper also compares the advantages of digital mapping with the traditional manual method, highlighting the benefits of increased accuracy and quality control. The results include establishing enumeration sections and districts as the basis for census operations and mobile GIS. The National Institute of Statistics established a geodatabase numerical based on GIS. The census mapping has created a geodatabase that contains 25919 enumeration sections and 4431 enumeration districts in 700 municipalities. This research contributes to developing a robust population and habitat census digital mapping methodology.
Genome sequencing, annotation and application of a strain of Microbacterium paraoxydans – a heavy metal hypertolerant and plant growth promoting bacterium
Authors: Mandal Debjani , Das Sadhan Kr. , Adhikari Jishnu , Chatterjee Debashish , Bandyopadhyay Tapas Kumar , Basu Abhishek 
Published: January 2024

Abstract
A heavy metal hypertolerant plant growth promoting bacterium was isolated from arsenic contaminated garden soil of Bhagobangola I block (Murshidabad district). Metagenomic classification identified the bacterial isolate as a member of genus Microbacterium. Taxonomic assessment showed maximum average nucleotide identity (89.99%) with Microbacterium paraoxydans strain DSM 15019. Prokaryotic genome annotation was performed by Prokka, DFAST and RAST. The entire genome consisted of 3365911 bases with 69.90% GC-content. Prokka detected 3216 coding sequences (1461 hypothetical sequences), 3283 genes, 10 miscellaneous RNA, 3 rRNA, 53 tRNA and 1 tmRNA. DFAST detected 3257 coding sequences (1217 hypothetical sequences), 3 rRNA and 53 tRNA. Both Prokka and DFAST failed to detect any CRISPR sequence. RAST could detect 3285 coding sequences and 49 RNAs in the genome. Only 25% (821) of these sequences fell within the subsystem of RAST, which included 789 coding sequences as non-hypothetical and 32 sequences as hypothetical. Genes and Gene clusters responsible for arsenic resistance (arsR, arsB, arsC, acr1, acr2, acr3), other heavy metal (Copper, Manganese, Zinc, etc.) tolerance and plant growth promotion (Auxin biosynthesis, Siderophore mediated iron acquisition, Phosphate and polyphosphate metabolism, Trehalose biosynthesis, etc.) could also be identified in the Microbacterium paraoxydans genome. The heavy metal (arsenic) hypertolerance, bioremediation potential and plant growth promoting nature of the bacterium were confirmed by plate assay, SDDC assay and pot experiments, respectively. The aforementioned traits point towards the probable application of the bacterium as a bioremediation tool and biofertilizer, for reduction of arsenic toxicity and promotion of plant growth.
Assessment of biventricular function in Patients with chronic mountain sickness by cardiac magnetic resonance T1 mapping and feature tracking technique
Authors: Meng Li , Wang Guohui , Bao Haihua , Wu Yousen 
Published: January 2024

Abstract
Objective
Chronic mountain sickness (CMS) is also known as high-altitude maladaptation syndrome[1]. When the more severe stages of this disease, high-altitude pulmonary hypertension and right ventricular enlargement are commonly found. The cardiac magnetic resonance feature tracking (CMR-FT) and T1mapping can analyze quantitatively bi-ventricular strain in CMS patients and facilitate myocardium impairment early in CMS .
Materials and methods
38 individuals including 20 healthy controls and 18 CMS patients who underwent cardiac magnetic resonance (CMR) with Steady-State Free Precession (SSFP) sequences and T1mapping.Biventricular myocardial function measures and strain variables were acquired after post-processing with the CVI42 tool. Based on T1 and ECV maps acquired using a modified Look Locker inversion recovery approach, the pre/post-enhancemant T1 and ECV values of the biventricles were determined. The parameters linked to the total biventricular systolic strain were assessed using conventional cine images and tissue tracking analytic techniques.
Results
(1) CMR-FT results: Global circumferential strain(GCS), Global radial strain(GRS), and Global longitudinal strain(GLS) were significantly lower in both ventricular in CMS patients than in healthy controls (all p < 0.05). GRS and GCS showed moderate correlation in the left and right ventricles in the CMS group (r = 0.671, p = 0.002; r = 0.597, p = 0.009, respectively) .This shows that their onset time may be earlier than the decline time of left ventricular ejection fraction(LVEF)and right ventricular ejection fraction(RVEF). (2) T1 mapping results: For the right ventricle, pre/post enhancement T1 values and ECV were higher in CMS patients than in controls whole native T1 values were 1374.3 ± 157.6ms, vs 1164.6 ± 60.1ms;whole post T1 values were 551.7 ± 42.2ms vs 485.1 ± 17.2ms and ECV values were 34.2 ± 6.8% vs 25.2 ± 3.6%; the differences were significant (p < 0.05). The results show that their onset time may be earlier than the decline time of left ventricular ejection fraction(LVEF)and right ventricular ejection fraction(RVEF), indicating that myocardium is impaired in CMS.
Conclusions
For the quantitative evaluation of biventricular strain parameters and ventricular myocardial fibrosis in patients with CMS, CMR-FT and mapping procedures are practicable and repeatable. They may also efficiently identify early biventricular damage in individuals with CMS.
Recurrent, ICD-associated L. monocytogenes bacteremia with septic pulmonary embolisms over a 3-year period
Authors: Füszl Astrid , Schindler Stefanie , Heger Florian , Markowicz Mateusz , Indra Alexander , Pietzka Ariane , Hyden Patrick , Cabal Adriana , Wenzel René R. 
Published: January 2024

Abstract
Successful treatment of patients with recurring listeria episodes due to colonized foreign material is often challenging, typically requiring a combination of antimicrobial treatment and surgical removal. Here, we present a particularly challenging case of chronic invasive listeriosis with a total of six relapses, confirmed through molecular typing.
Growth of Two Loblolly Pine Clones Planted in Agroforestry and Plantation Settings: Nine-year Results
Authors: Naka Kozma , Hossain Shaik , Dimov Luben 
Published: January 2024

Abstract

Selecting suitable tree species, cultivars, or clones in agroforestry is essential for maximizing volume growth and reducing mortality. While most studies have investigated the performance of understory crops, more information is needed about the performance of trees in agroforestry systems. In the last decades, the forest industry in the Southeast has produced high-yielding loblolly pine varieties that can be propagated by cloning. We evaluated the performance of two forest industry-rated loblolly pine clones (Pinus taedaL.) that we planted in an agroforestry and a plantation setting at a northern Alabama site. Specifically, we assessed and compared the survival and growth of two genetically improved pine clones: clone 1 (Q3802-43) and clone 2 (L3519-41). Clone 1 had a greater overall survival rate than clone 2 (86% vs. 83%). However, clone 2 demonstrated a superior performance growth compared to clone 1. Tree basal area, live crown ratio, height, and total tree volume inside-bark of clone 2 averaged 0.027 m2, 70%, 10.7 m, and 0.11 m3, respectively, and all were significantly higher than those of clone 1 (0.024 m2, 63%, 9.8 m, and 0.09 m3). Therefore, clone 1 is preferred over clone 2 for our region and in similar site conditions if survival is considered a selection criterion and clone 2 is preferred from the wood production viewpoint. However, it will be more advantageous to use clone 2 overall since its higher average tree volume (0.11 m3vs. 0.9 m3of clone 1) can easily offset the lower survival rate.
Finite and mean field games for optimal investment with HARA utility function and the presence of risk-seeking agents
Authors: Nguyen Minh 
Published: January 2024

Abstract

This study extends the work of Lacker and Zariphopoulou LZ19 by considering the financial market with the presence of both risk-averse and risk-seeking agents. Specifically, the n-agent (finite) and mean field games for optimal investment with the family of the hyperbolic absolute risk aversion (HARA) utility function under relative performance concern/motivation are studied. Several specific forms of the HARA family, including exponential, power, and logarithmic form are investigated. We prove that there exists a unique constant Nash equilibrium and a unique constant mean field equilibrium in both the n-agent and mean field games for the case of strictly concave utility function. For the case of strictly convex utility function, there exists a unique corner solution in these games where agents invest all of their wealth in risky assets (e.g. stock) and invest nothing on riskless assets (e.g. bond). Furthermore, we discuss the qualitative effects of the personal and market coefficients on the optimal investment strategies.
Multivariate analysis of Rosa persica Michx. ex Juss by morphological characters
Authors: Darabi Ferdous , Sarmast Mostafa Khoshhal , Zarei Hossein , Mousavizadeh Seyyed Javad 
Published: January 2024

Abstract
This research evaluated phenotypic diversity among 16 Rosa persica accessions collected from their native habitats in Iran. Twenty-two quantitative traits were evaluated in this species based on morphological markers and according to previously described standard methods. An analysis of morphological traits on the accessions revealed significant differences in most of them (p ≤ 0.01). In addition, the mean comparison showed that the "Neishabor 3" accession had the highest plant height, and the "Arak" accession had the highest flower diameter among the accessions. Principal component analysis revealed five main factors with eigenvalues greater than one, which explained 86.53% of the total variance. Flower weight, petal width, petal length/width ratio, bud length, receptacle width, and receptacle length/width were most distinguishable in the first component. Flower count and receptacle length were most distinguishable in the second component and had the most significant coefficients of determination. Hierarchical cluster analysis placed Bojnord, Neishabor2, Golbahar3, Golbahar4, Neishabor1, and Kashmer accessions in the first cluster. Neishabor3 and Yazd accessions appeared in the second cluster. Since morphological features of native R. persica are unavailable, the current research was foundational in exploring notable diversity among Rosa persica accessions. The data can be utilized as a valuable source for future Rose breeding programs.
Exploring EFL Learner Resilience and Examining its Association with L2 Buoyancy and Language Achievement
Authors: Hedeshi Elham , Ghanizadeh Afsaneh 
Published: January 2024

Abstract
This study aimed at exploring EFL learners’ resilience. To do so, the current study developed and validated a scale measuring EFL learners’ resilience according to the qualitative triangulated phase of this study. The procedure of the present mixed-methods research is as follows: QUAL → quan. In the qualitative phase of this study, 29 EFL learners contributed by participating in semi-structured interviews, open-ended questions, and research journals. The model conceptualized the determinants of EFL learners’ L2 resilience, including personal, metacognitive, and contextual factors, each associated with several sub-factors. Based on the model derived from qualitative analysis, the L2 resilience scale was developed. It was then validated via Confirmatory Factor Analysis (CFA), comprising 21 items. The designed scale was distributed among 321 EFL learners. It was revealed that all items demonstrated satisfactory factor loading. Furthermore, the association of LRS with two other closely-related constructs, buoyancy and achievement, was assessed in this research.
Optomechanically induced transparency in a multi-cavitysystem subjected to two-level atomic ensemble interference
Authors: Yu Gongtao , Pan Guixia 
Published: January 2024

Abstract

We investigate a hybrid multi-cavity optomechanical
system with interference from a two-level atomic ensemble.
The system is composed of three optical cavities and two
nanomechanical resonators. A two-level atomic ensemble is filled into the middle optical cavity. The optical cavity
located in the middle has two interaction forces with the two outermost
optical cavities. What is more,
the system also includes various types of interaction relations, which are the couplings
of optical cavities with mechanical resonators and the coupling of optical cavity with two-level atomic ensemble.
In order to study the optical response of optomechanically induced transparency, we modulate the
interaction intensity within the system to obtain
different eletromagnetic induced transparent phenomena.
It has been found that under the
influence of different parameters, the number of transparent windows and the
width of transparent windows increase with an increase in the coupling of
the optical cavities with atomic ensemble.
In addition, as the system parameters change, the transparency points also move. The position
of the two outermost transparent points becomes farther apart when the coupling of
optical cavity with mechanical resonators increases.
Our approach provides a great flexibility for controlling
electromagnetically induced transparency. It will have the
great potential applications for quantum information processing.
CNT-woven glass fiber laminated composite for folded plate application: 2D-GDQ and Experimental study
Authors: Heidari-Soureshjani Ali , Asadi Esmail , Talebitooti Roohollah 
Published: January 2024

Abstract

This paper presents the advantages of carbon nanotubes (CNTs) in fortifying the glass fiber reinforced polymeric (GFRP) composites. Bolted steel straps are utilized at the edges of composite plate to create clamped conditions in the test setup. To reduce the uncertainties induced by bolt attachments, a genetic algorithm based model updating has been carried out by adopting artificial linear springs at the margins to create more balance between theory and reality. After checking the validity of plate’s results, mechanical properties of randomly dispersed CNTs are incorporated in the formulations of folded plates. Remarkably, the motion equations are brought forward by the first order shear deformation theory (FSDT). Thereafter, two-directional generalized differential quadrature (2D-GDQ) technique has been used to extract natural frequencies from available motion, continuity and boundary equations. Results of the folded plate are validated first by an experimental modal testing and then some effective parameters such as folding angle, CNT weight ratio, boundary condition and flange-shape length are inspected.
Realization of Beeswax-based Fabric Microfluidic Channels using PVC Clear Sheet Stencils
Authors: Lingadharini P , Shirsat Aditya , Gardi Prathamesh , Kore Saurabh , Joshi Vedant , Patra Rusha , Maji Debashis 
Published: January 2024

Abstract
Microfluidic channels fabricated over fabrics or papers have the potential to find substantial application in the next generation of wearable healthcare monitoring systems. The present work focuses on the fabrication procedures that can be used to obtain practically realizable fabric-based microfluidic channels (µFADs) utilizing patterning mask and wax, unlike conventional printing technique. In this study, comparative analysis was used to differentiate channels obtained using different masking tools for channel patterning as well as different wax materials as the hydrophobic barriers. Drawbacks of the conventional tape and candle wax technique was noted and a novel approach was used to create microfluidic channels through facile and simple masking technique using PVC clear sheets as channel stencils and beeswax as channel barriers. The resulting fabric based microfluidic channels with varying widths as well as complex microchannel, microwell, and micromixer designs were investigated and a minimum channel width resolution of 500 µm was successfully obtained over cotton based fabrics. Thereafter, the PVC clear sheet-beeswax based microwells were successfully tested to confine various organic and inorganic samples indicating vivid applicability of the technique. Finally, the microwells were used to make simple and facile colorimetric assay for glucose detection and demonstrated effective detection of glucose levels from 10 mM to 50 mM with significant color variation using potassium iodide as the coloring agent. The above findings clearly suggests the potential of this alternative technique in making low-cost and practically realizable fabric based diagnostic device (µFADs) in contrast to the other approaches that are currently in use.
Enhanced Efficacy of Low-dose Lovastatin through Probiotic-Mediated Absorption: Insights from In Vitro and In Vivo Studies
Authors: Li Bohai , Kwok Lai-Yu , Wang Dandan , Li Lu , Zhang Heping , Chen Yongfu 
Published: January 2024

Abstract
Background
Growing evidence highlights the crucial role of gut microbiota in drug metabolism, affecting both efficacy and toxicity. Probiotics, as part of the gut microbiota, possess a diverse array of enzymes and are likely involved in drug interactions. Our previous study demonstrated the ability of Lacticaseibacillus paracasei Zhang (LCZ), a probiotic strain, to metabolize lovastatin, a widely used lipid-lowering drug, in monoculture. However, the impact of LCZ on lovastatin metabolism, activity, efficacy, and toxicity in vivo remains an important area for investigation.
Results
In this study, we comprehensively assessed the effect of LCZ on lovastatin from in vitro to in vivo settings. In vitro experiments utilizing targeted and non-targeted metabolomics analysis revealed that LCZ transformed lovastatin into its activated form, lovastatin hydroxy acid, both in monoculture and a simulated human digestion system. In vivo investigations demonstrated that the combination of LCZ with low-dose lovastatin displayed enhanced efficacy in reducing blood lipids in hyperlipidemic hamsters. However, analysis of microbiota sequencing, metabolite analysis, and liver transcriptomics revealed that the improved efficacy was attributed to enhanced lovastatin absorption rather than direct drug metabolism by LCZ in the gut. Furthermore, the impact of LCZ on lovastatin was dose-dependent, with higher lovastatin doses resulting in increased absorption and potential toxicity.
Conclusions
The combination of probiotics with drugs can significantly influence the gut microbiome, particularly gut metabolites. These altered metabolites have the potential to interact with drugs, affecting their solubility, absorption, efficacy, and toxicity. This study sheds light on the interactions between probiotics and drugs, particularly from a safety perspective, providing insights into probiotic-drug co-treatment strategies and precision probiotics for personalized medicine.
A Comparative Analysis of Encoder Only and Decoder Only Models in Intent Classification and Sentiment Analysis: Navigating the Trade-Offs in Model Size and Performance
Authors: Benayas Alberto , Sicilia Miguel Angel , Mora-Cantallops Marçal 
Published: January 2024

Abstract

Intent classification and sentiment analysis stand as pivotal tasks in natural language processing, with applications ranging from virtual assistants to customer service. The advent of transformer-based models has significantly enhanced the performance of various NLP tasks, with encoder-only architectures gaining prominence for their effectiveness. More recently, there has been a surge in the development of larger and more powerful decoder-only models, traditionally employed for text generation tasks. This paper aims to answer the question of whether the colossal scale of newer decoder-only language models is essential for real-world applications by comparing their performance to the well established encoder-only models, in the domains of intent classification and sentiment analysis. Our results shows that for such natural language understanding tasks, encoder-only models in general provide better performance than decoder-only models, at a fraction of the computational demands.