bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Original of Cyrillic Early Printed Tetraevangelia Issued in Pochaiv. Study of Saints and Feasts Present in the Menologia
Authors: Ostapczuk Jerzy 
Published: October 2023

Out of 110 early printed Cyrillic liturgical Tetraevangelia, five were issued by the printing house of the Holy Dormition Pochaiv Lavra. All of them appeared in the 2nd half of the 18th century and were intended for the use in the Uniate, i.e., Greek-Catholic, Church. A text critical study of different texts from various parts of Tetraevangelia has suggested that the Gospel edition issued in Kyiv in 1746 was used by printers in Pochaiv to prepare their first liturgical Tetraevangelion.
This publication is focused on the textual analysis of menologia present in early printed Cyrillic Tetraevangelia, with particular attention given to the saints and feasts, as well as verbatim correspondence of commemorations and liturgical rubrics. Its results allow to conclude that the first Tetraevangelion issued at the Holy Dormition Pochaiv Lavra in 1759, was prepared on the basis of the Gospel edition issued at the Kyiv Pechersk Lavra in 1746. Liturgical rubrics in the first Pochaiv Tetraevangelion were adjusted to the liturgical tradition of the Greek-Catholic Church. Four further Pochaiv liturgical Gospel editions copied, with some minor corrections, the menologion of the first one.
RESEARCH OF PROCRASTINATION AND ITS CONNECTION WITH THE PERSONALITY TRAITS
Authors: KUTEPOVA-BREDUN V. , SHEVCHENKO N. , ALSHAYEVA K. 
Published: October 2023

Abstract. The article is devoted to the phenomenon of procrastination. The first works on the problem of procrastination appeared in the late 90's of XX century. There is no a single view on the definition and properties of the phenomenon of procrastination. In the psychological literature, this term is usually understood as the conscious postponement of the subject's planned actions, despite the fact that it will cause certain problems. Based on the theoretical and empirical data, it was hypothesized that there is a link between personality traits (hypochondria, depression, hysteria, psychopathy, paranoia, psychasthenia, schizophrenia, hypomania) and propensity to procrastinate.The sample consisted of students aged 18 to 23 years. (61 respondents.) General Procrastination Scale (Lay), Procrastination Scale (Tuckman), "Mini-Mult" (adapted by V.P. Zaitsev and V.N. Kozyul) were used in the study. It is proved that procrastination is influenced by such personality traits as hypochondria, depression, hysteria, psychopathy, paranoia, hypomania etc. The further prospects for studying the phenomenon can include studing the methods of overcoming procrastinating tendencies, as well as investigating the positive side of this aspect.
Asset-based Approach Community Service for Developing Digital Textbook in Secondary Language (L2) Teacher Education
Authors: Izzati Madjid Hilda , Safriani Afida , Rakhmawati  
Published: October 2023

ABSTRACT
Service learning embedded in the course plays a vital role in transforming theoretical knowledge into practical one. It provides students with the concept and brings them in contextualizing their concept that they have already learned in the classroom. This study explores the process of enacting service learning using asset-based approach to university-community engagement. This study employed multiple data sets from observation, semi-structured interviews with teachers and principles, focused group discussion with students, and students’ products of digital textbooks. The findings revealed that service learning using the asset-based approach empowered all the stakeholders and contributed to emergence of the equitable partnership between university and community. The students’ product of a digital textbook represents collaboration between English teachers, the teacher educator, and the university students who successfully designed learning resources that meet the academic level and interests of students of the school partners.
Keywords: Asset-Based Community Development (ABCD), Service Learning, Digital learning resources, Digital literacy
Evaluation of distributed fibre optic sensors in structural concrete
Authors: Janiak Till , Becks Henrik , Camps Benjamin , Classen Martin , Hegger Josef 
Published: October 2023

AbstractIn civil engineering, the analysis and characterisation of structural phenomena is key for the deviation of mechanical models and strongly depends on experimental studies. For this reason, the development of new measurement techniques plays a crucial role in research to allow capturing the mechanical behaviour of structures. In this context, distributed fibre optic sensing (DFOS) gained attention during the last years. Advantageous properties such as minimal invasiveness and quasi-continuous strain measurement enable new possibilities in structural monitoring. DFOS is able to sense minimal strain variations, yet this often results in recording unwanted anomalies. Thus, to generate the best results from raw measurement data, it is crucial to use a robust and reliable post-processing procedure. In order to meet this requirement, the software solution FOS Evaluator was developed using the Python programming language, targeting the most important aspects that may occur when using DFOS. Those aspects comprise a high data volume, disturbances and anomalies in the measured data and the necessity to carry out calculations with acquired data sets. In this paper, functionality and background of FOS Evaluator are presented and discussed. Furthermore, several methods for post-processing and evaluating DFOS measurements are presented, consisting of multiple functions for reducing, cleaning, or smoothing strain data, and calculating various mechanical properties from filtered measurements. Finally, the functional scope of FOS Evaluator is illustrated by various application examples in structural concrete.
Antimalarial Potential of Fraction 5 from Ethanolic Leaves Extract of Artocarpus Altilis
Authors: Einstenia Kemalahayati  , Hilkatul Ilmi  , Agriana Rosmalina Hidayati  , Marsih Wijayanti  , Lidya Tumewu  , Suciati  , Achmad Fuad Hafid  , Widyawaruyanti Aty 
Published: October 2023

Background: Artocarpus altilis leaf extract (AAL.E) was separated by VLC, and six fractions were obtained. Fraction 5 (AAL.E.5) showed antimalarial activity with an IC50 value of 3.71 µg/mL. Objective: This study aimed to determine the antimalarial activity of AAL.E.5 subfractions against P. falciparum, the mechanism of action against Plasmodium Falciparum Malate quinone oxidoreductase (PfMQO), and the active substances. Methods: The AAL.E.5 was separated by open-column chromatography and eluted with chloroform-methanol gradient elution in order of increasing polarity. The antimalarial activity of all subfractions was assessed using a lactate dehydrogenase (LDH) assay against P. falciparum and the mechanism of action of the PfMQO enzyme. The profiles of the most active subfractions were analyzed using High-Performance Liquid Chromatography (HPLC). Results: The separation of fraction 5 (AAL.E.5) yielded 11 subfractions (AAL.E.5.1–AAL.E.5.11). Screening antimalarial activity at 10 μg/mL in this subfraction showed that only five subfractions (AAL.E.5.6-AAL. E.5.10) inhibited P. falciparum and two subfractions (AAL.E.5.6 and AAL.E.5.10) inhibited the PfMQO enzyme. Only subfraction 6 (AAL.E.5.6) inhibited both, with IC50 values of 6.609 µg/mL and 20.34 µg/mL. The thin layer chromatography profile of AAL.E.5.6 revealed reddish-orange spots, indicating the presence of flavonoid compounds, and was also presumed from the UV-visible to HPLC chromatogram for band I in the 300 – 400 nm range and band II in the 240–285 nm range. Conclusion: Subfraction 6 has antimalarial activity against P. falciparum and is thought to have a mechanism of action in PfMQO. Based on the TLC, HPLC, and UV-Vis spectra, subfraction 6 was assumed to be a flavonoid.
Fabrication and Release Mechanism Study of a Nanocapsule Breaker for Controlling Degradation Rate of Insoluble Residue in Slickwater at Moderate-Temperature Reservoirs
Authors: Pu Jingyang , Luo Ming-liang , Wang Kai , Li Xu , Wu Jin-bo , Zhang Na , Zhao Yang , Lu Mingjing 
Published: October 2023

Summary
In an ideal hydraulic fracturing project, the viscosity of hydraulic fracturing fluid (HFF) should drop to facilitate an efficient and quick fracture cleanup once proppants have been placed. Ammonium persulfate (APS) is widely used as an oxidizer breaker to degrade the insoluble residue of the HFF. However, a complex network of artificial fractures with sizes ranging from millimeters to micrometers restricts the transportation application and reaction time of standard breakers and current millimeter-sized capsule breakers. In this study, we introduce an APS nanocapsule (APS-NC) breaker, fabricated via a simple miniemulsion technique, that is capable of addressing the degradation of insoluble residue of the HFF in deep fractures. The nanocapsules are produced through precise control of the nanoprecipitation of poly(methyl methacrylate) (PMMA) onto aqueous APS nanodroplets. Stable aqueous nanodroplets are generated by means of an inverse miniemulsion using Pluronic P-123 as a specific surfactant to form a large and stable water-oil internal surface referring to the long chain and amphipathic property of Pluronic P-123 molecule. Pluronic P-123 is included in the process not only to stabilize the miniemulsion and increase the precipitation efficiency of PMMA but also to function as a thermo-responsive switch for the delayed burst release of APS. The size of the resulting nanocapsules can be controlled within the 207 and 821 nm range, yielding APS up to 92%. The release rate of APS can be controlled by the initial amount of PMMA (150–300 mg), environmental temperature (40–80°C), and environmental pH (3.4–7). When the temperature was 80℃, the initial amount of Pluronic P-123 dominated the release dynamic of APS. Compared with the APS breaker in a dynamic degradation experiment, the APS-NC had a more controllable degradation profile that could cause hydrolyzed polyacrylamide (HPAM) to burst degrade after 6 hours of heating at 80°C.
Mapping the evidence on interactions between Complementary and Alternative Medicines with conventional antituberculosis medicines in the sub-Sahara African countries: A Scoping Review Protocol
Authors: Kadima Mukanda Gedeon , Founou Luria Leslie , Salvius Bakari Amuri , Karpoormath Rajshekhar , Singh Parvesh 
Published: October 2023

Abstract
Background: Complementary and Alternative Medicines (CAM) with their different bioactive compounds are commonly used either alone or in combination with conventional medicines in the treatment of tuberculosis and have proven clinically pharmacological activities. Pharmacokinetic interaction are the results of the combination of Complementary and Alternative Medicines with conventional medicines or intrinsically linked to the inhibition of the metabolic enzymes responsible for the metabolism and clearance of the drugs amongst patients. This study aims at mapping the evidence on documented interactions from the combination of Complementary and Alternative Medicines with antituberculosis medicines in the sub-Sahara African countries
Methods/design: This study will be done following recommendations of Levac et al. (Implement Sci 5:69, 2010) and the framework made by Arksey and O’Malley. Based on our eligibility criteria, the appropriate literature will be searched in the following databases: World Health Organization, Google Scholar, PubMed, Science Direct, Open Access Theses and Dissertations and EBSCOhost which includes: Newspaper Source, Academic Search Complete and MEDLINE. Relevant studies published from 2005 to December 2020 will be included. Eligible studies should show evidence on documented interactions from the combination CAM with antituberculosis medicines and any interactions as outcomes. NVIVO software will be used to draw out the pertinent thematic analysis and outcomes of the research. Stata statistical software (Stata Corp V.14, TX, USA) will be used for analysing quantitative data, while the chi-squared test on Cochran’s Q statistic will be used to evaluate the Heterogeneity that will be quantified by I2 values. The χ2 test on Cochrane’s Q statistic will be used to detect any heterogeneity between subgroups.
Discussion: This review anticipates finding relevant publications reporting the evidence on documented interactions from the combination of CAM with antituberculosis medicines in Sub-Saharan African countries. The synthesis of this obviousness base will serve as guidance for future research studies. The result from the research will be printed and electronically exposed via traditional academic platforms, namely peer-reviewed publications and at conference presentations.
Systematic review Prospero registration number: CRD42022329684
Origins and importance of intragranular cracking in layered lithium transition metal oxide cathodes
Authors: Ducati Caterina , Morzy Jedrzej , Dose Wesley , Vullum Per Erik , Lai May-Ching , Mahadevegowda Amoghavarsha , De Volder Michael 
Published: October 2023

Abstract
Li-ion batteries have a pivotal role in the transition towards electric transportation. Ni-rich layered transition metal oxide (LTMO) cathode materials promise high specific capacity and lower cost but exhibit faster degradation compared to lower Ni alternatives. Here, we employ high resolution electron microscopy and spectroscopies to investigate the nanoscale origins and impact on performance of intragranular cracking (within primary crystals) in Ni-rich LTMOs. We find that intragranular cracking is widespread in charged specimens early in cycle life, but uncommon in discharged samples even after cycling. The distribution of intragranular cracking is highly inhomogeneous. We conclude that intragranular cracking is caused by local stresses that can have several independent sources: neighbouring particle anisotropic expansion/contraction, Li- and TM-inhomogeneities at the primary and secondary particle levels and interfacing of electrochemically active and inactive phases. Our results suggest that intragranular cracks can manifest at different points of life of the cathode and can potentially lead to capacity fade and impedance rise of LTMO cathodes through plane gliding and particle detachment that lead to exposure of new surfaces to the electrolyte and loss of electrical contact.
Research on temperature field of high-speed milling titanium alloy and machining parameters optimization
Authors: Liu Jianping , Liu Changfu , Tong Hao , Wang Daohai 
Published: October 2023

Abstract
The high milling temperature in the high-speed milling process restricts the production efficiency and processing quality of titanium alloy thin-walled parts. Optimizing the processing parameters can control the temperature within a reasonable range, which can improve its production efficiency and processing quality. Therefore, it is imperative to conduct research on milling temperature and multi-objective parameter optimization during the milling process. In this paper, the temperature field model of the workpiece was established using the moving heat source method. The finite element method was used to simulate the temperature field of the workpiece during the milling process. The milling temperature was measured by an infrared thermal imager, and a milling temperature prediction model was set up based on the experimental data. Considering the minimum milling temperature and the maximum material removal rate, the whale optimization algorithm (WOA) was applied to optimize the processing parameters. The results showed that the maximum error of simulation and experimental results is less than 16%. The optimization method can provide reference for the selection of subsequent milling parameters.
Voluntary participation and optimism: How and when outside individual options can facilitate group collaboration
Authors: Mori Ryutaro , Hanaki Nobuyuki , Kameda Tatsuya 
Published: October 2023

Abstract
Whether in business ventures or academic research, voluntary participation is at the heart of
collaboration. Yet, previous studies concerning collaboration have primarily focused on the freeriding
problem, largely overlooking this mundane but critical aspect. We address this gap by
modeling collaborative situations as people’s voluntary choices between joining an uncertain
public goods provisioning in groups and pursuing a certain but less profitable individual option.
Theoretically and experimentally, we show that this voluntary nature in collaboration increases the
likelihood of group success by filtering out otherwise pessimistic defectors or encouraging them
toward cooperation. Further, we reconcile our findings with the existing literature highlighting
detrimental effects of individual alternatives to collaborative solutions. We argue that whether
individual options aid or hinder collaboration hinges on the degree of the “externality” of loners
(who pursue the individual option) to the group. As long as the collaboration pertains to local
public goods, the externality remains limited, ensuring that the existence of an individual option
robustly aids collaborative success by fostering cooperation through improved optimism within
groups.
Difference light environment affects the efficiency of surgical suture training
Authors: gu yuan , Xie Lihua , Huang Xianzhe , Liu Chan , Li Wenzhao 
Published: October 2023

Abstract
Background: Suture knotting is the basis of surgical skills. In the process of surgical skills learning, the surrounding environment, especially the light, will affect the efficiency of learning. This study investigated the effect of optical environment on the learning of stitching and knotting skills.
Methods: A total of 44 medical students were randomly divided into four groups and participated in the study of suture knotting in four different optical environments. During the process, we assess objective pressure level by testing salivary amylase activity Likert scale and objective structured clinical examination (OSCE) was used to estimate the subjective psychological state and overall skill mastery in surgical suturing respectively.
Results: Under high illumination conditions (700 lx), the salivary amylase activity of the high color temperature group (6000 K) was significantly higher than that of the low color temperature group (4000 K) (p < 0.0001). Similarly, under low illumination (300 lx), the salivary amylase activity of the high color temperature group was also significantly higher than that of the low color temperature group (p < 0.05). The student under high illumination conditions (700 lx) and the low color temperature (6000 K) have an autonomy score between 37-45, which is significantly higher compared to the other three groups (p < 0.0001). Group 2 has an average OSCE score of 95.09, which were significantly higher than those of the other three groups (p < 0.05).
Conclusion: High illumination combined with low color temperature is considered as the optimal training conditions, promoting trainees' optimism, reducing stress levels, and enhancing learning efficiency. These results highlight the pivotal role of light environment in improving the quality and efficiency of surgical skills training.
Utilizing machine learning models with limited meteorological data as alternatives for the FAO-56 model in estimating potential evapotranspiration
Authors: Shafizadeh-Moghadam Hossein , Amani Shima , Morid Saeid 
Published: October 2023

Abstract
The current study evaluated the accuracy of four machine learning (ML) techniques and thirteen experimental methods calibrated to estimate potential evapotranspiration (ET0) in arid and semi-arid regions. Various scenarios utilizing meteorological data were examined, and FAO56-PM was used as a benchmark. The results revealed that the ML models outperformed the experimental methods at both daily and monthly scales. Among the ML models, the artificial neural networks (ANNs), generalized additive model (GAM), random forest (RF), and support vector machine (SVM), respectively, demonstrated higher accuracy on a monthly scale, while the ANNs, SVM, RF, and GAM exhibited greater accuracy on a daily scale. Notably, the ANNs and SVM achieved high accuracy even with a limited number of variables. Conversely, the accuracy of the RF improved with an increased number of variables. Comparing ML models to experimental models with equivalent input revealed that ANN with inputs similar to Valiantras-1 performed better on a monthly scale, while SVM with inputs akin to Valiantras-3 showed superior performance on a daily scale. Our findings suggest that average temperature, wind speed, and sunshine hours contribute significantly to the accuracy of ML models. Consequently, these ML models can serve as an alternative to the FAO56-PM method for estimating ET0.
Construction of a risk model for predicting colorectal cancer prognosis and immunotherapy based on angiogenesis-related gene
Authors: Huang Shaoxiong , Zhu Jianlin , Qiu Xiantu , Ni Limei , Lin Wei 
Published: October 2023

Abstract
Background
Angiogenesis is closely associated with the prognosis and immune microenvironment of patients with colorectal cancer (CRC), which is regulated by numerous angiogenesis related genes (ARGs). This study aimed to construct a prognostic model based on ARGs to provide effective guidance for the prognosis and immunotherapy response of CRC patients.
Methods
CRC data for CRC patients was extracted from the public data to analyze the difference of immune cell infiltration abundance between Cluster 1 (high ARGs, C1) and Cluster 2 (low ARGs, C2).
Results
The results showed that C2 had a lower abundance of immune cell infiltration, especially CD4 + T cells. Furthermore, a model based on differential expression genes (DEGs) of C1 and C2 was established. Validation indicated that the ARGs-DEGs model could be well applied to predict the survival of CRC patients, thus determining prognostic risk stratification. The univariate and multivariate COX regression analysis of risk score combined with multiple clinical features showed that risk score of ARGs-DEGs model was an independent risk factor for CRC patients. Further construction of Norman chart combined with multiple clinical features could more accurately predict the prognosis of CRC patients. In addition, our further study demonstrated that intercellular connectivity and extracellular matrix remodeling signaling pathways may be potential mechanisms of the ARGs-DEGs model.
Conclusions
From our findings that the distribution of immune checkpoints was significantly obvious differences between the high-risk and low-risk cohorts, we conclude that the low-risk cohorts had a potentially better response to immunotherapy.