bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wkłucie centralne – implantacja i ryzyko rozwoju zakażeń
Authors: Kamiński Dawid , Rożniakowski Jakub 
Published: October 2023

Wstęp. Zastosowanie Centralnych Cewników Naczyniowych (CVC) w trakcie leczenia pacjentów krytycznie chorych, ale także wymagających długotrwałego leczenia staje się standardem. Zastosowanie CVC pozwala na podaż płynów infuzyjnych, środków farmakologicznych oraz żywienia pozajelitowego. Dobór metody implantacji cewnika centralnego oraz jego rodzaj powinien opierać się wskazaniach klinicznych, przeznaczeniu a także na komforcie pacjenta. Niwelowanie czynników ryzyka rozwoju zakażeń zmniejsza generowane przez pacjenta koszty, ale również skraca jego czas pobytu w szpitalu.
Cel. Celem pracy jest przedstawienie rodzajów cewników centralnych, wskazań oraz metod implantacji (CVC), a także wskazanie powikłań wynikających z kaniulacji naczyń centralnych. Niniejsza praca zawiera także informacje dotyczące zasad pielęgnacji wkłucia centralnego, dobrej praktyki pielęgniarskiej i jej wpływu na niwelowanie czynników zakażeń wynikających z implantacji (CVC).
Materiał i metody. Metodą zastosowaną w pracy jest analiza literatury.
Przegląd. Częścią codziennej opieki nad chorym jest sprawowanie nadzoru pielęgniarskiego nad cewnikiem naczyniowym którego obecność w ciele pacjenta jest nieodzownym elementem pobytu w szpitalu.
Wnioski. Wkłucia centralne są nieodłącznym elementem leczenia pacjentów krytycznie chorych w oddziałach intensywnej terapii. Żywotność wkłucia w dużej mierze zależy od postępowania personelu pielęgniarskiego, co przekłada się na wiedzę personelu odnośnie do zasad pielęgnacji cewników centralnych.
Analysis and training of a traffic sign recognition neural network model
Authors: Mentsiev A. U. , Aigumov T. G. , Abdulmukminova E. M. 
Published: October 2023

Objective. The purpose of the research is to develop and train a neural network model based on convolutional neural networks for effective recognition of road signs in images.Method. Deep learning methods were used, namely convolutional neural networks, which allow you to automatically extract image characteristics and train on a large data set. The research methodology included the following steps: collecting and preparing a variety of road sign data, creating and training a neural network model based on convolutional layers, applying data augmentation methods to improve model performance, and evaluating the model’s effectiveness on a test data set.Result. A neural network model is developed that can classify various types of road signs based on input images with high accuracy. The model was trained on diverse and high-quality data, allowing it to generalize and recognize road signs in different lighting conditions and camera angles. The use of data augmentation techniques significantly increased the model’s performance and improved its generalization ability.Conclusion. The study highlights the importance of using diverse and high-quality data to train a model and applying data augmentation techniques to improve its performance. The study confirms the effectiveness of using neural networks, especially convolutional neural networks, for the task of recognizing road signs in images.
Development of client applications on Blockchain
Authors: Okladnikova O. D. , Bukov A. V. , Zhukov N. N. 
Published: October 2023

Objective. The article discusses issues related to the process of developing client Web applications for IT projects, which are based on the principles of decentralized network technology - blockchain. The authors explore practical ways to implement the user authorization process and its interaction with the blockchain network through a client application.Method. The MetaMask browser extension was chosen as a research tool, which allows you to develop, test and run your own software modules.Result. In the course of the study, the analysis of MetaMask tools was carried out, the processes associated with the start of work were considered both from the point of view of the developer and from the point of view of the wallet user. Understanding the organization of these processes will allow users to form the necessary knowledge in the development of client applications built on blockchain.Conclusion. The program code templates developed by the authors can be used as standard ones in the development of client applications in the decentralized Ethereum network. The advantage of the proposed solutions lies in the use of simple software structures that allow the formation of basic principles.
Design solutions of large-capacity storage tanks for liquefied natural gases
Authors: Bareeva E. R. 
Published: October 2023

Objective. The purpose of the study is to find prospects for the development of domestic large-scale isothermal LNG storage facilities to meet the required volume of export supplies from the Russian Federation.Method. During the study, modern methods of design, analysis of materials and structures were used.Result. Types of sections and joints of elements are presented. The general construction design and construction of an external reinforced concrete tank is described, taking into account the corresponding connections to the foundation and internal tank, internal tank, secondary bottom, vapor barrier, thermal protection system, domed roof, suspended ceiling, as well as the thermal insulation system of the tank. To ensure higher performance characteristics of the structure, a concrete strength class is recommended for the base slab and roofing slab and walls, as well as thermal insulation material. Requirements for the designs and materials of protective fences for large-capacity isothermal LNG storage facilities have been determined.Conclusion. The systemic relationship between all components of special building structures, building and thermal insulation materials has been determined.
Surface Energy in the Processes of Disintegration of Solids
Authors: Fedorov V. T. , Kokoev M. N. 
Published: October 2023

Objective. The purpose of the study is to experimentally measure the surface energy of solids during their grinding.Method. The study is based on the use of methods for determining the surface tension of solids. At least 20-25% of all electricity produced in the world is spent on grinding materials in industry. When the resulting particles are reduced to tens of nanometers, the contribution of surface energy (st) to the grinding work becomes so large that it is difficult not to take it into account. Measuring the surface tension of liquids has long been proven. But measuring (st) of solids causes great difficulties. Currently, more than twenty methods for determining (st) are known.Result. Based on the phenomenon of spontaneous bending of thin thread-like structures, a method for determining (st) has been developed. Examples are given in which (st) at the phase interface plays an important role in obtaining samples with a microstructure using the method of severe plastic deformation (SPD). To obtain fine metal powders, one of the variants of the SPD method has been proposed. A method has been found for the physical activation of aluminum granules, which increases the reaction rate of the metal in an aqueous environment by about a thousand times. This is necessary for the development of an anaerobic power plant capable of operating at great depths.Conclusion. The new technology makes it possible to obtain high-purity, non-oxidized metal powders without toxic waste and emissions and with energy costs lower than in all known methods.
Adaptive Earthquake-resistant Systems
Authors: Yusupov A. K. , Musеlеmov H. M. , Vishtalov R. I. 
Published: October 2023

Objective. This article is a continuation of the topic raised in the article “Systems with optimal geometric shapes”, published in the previous issue of this journal. The purpose of the study is to develop design diagrams and explanations for them, outline the principles of their operation, design features that provide the necessary seismic resistance.Method. To ensure adaptability, various design techniques are used: switching connections, switching connections, switching connections, buildings and structures consisting of various structural blocks having different frequencies of natural oscillations. Thus, the blocks of the building dampen each other during vibrations, thereby providing the necessary seismic resistance during earthquakes.Result. Structural systems with adaptive properties that impart high seismic resistance to buildings and structures are presented.Conclusion. The design techniques outlined in the article ensure high seismic resistance of buildings and structures, which can be used in the practice of designing and constructing earthquake-resistant systems.
Đánh giá tác dụng hạ lipid huyết của viên nang cứng bào chế từ đài hoa bụp giấm (Hibiscus sabdariffa L.) tại Đắk Lắk
Authors: Phạm Thị Nhật Trinh , Lê Tiến Dũng 
Published: October 2023

Rối loạn lipid máu là một trong những yếu tố nguy cơ quan trọng trong việc hình thành bệnh vữa xơ động mạch và động mạch vành. Có nhiều loại thực vật đã được chứng minh có tác dụng điều hoà lipid máu. Bài báo công bố kết quả đánh giá độc tính cấp và tác dụng hạ lipid máu cấp tính của viên nang cứng bào chế từ đài hoa bụp giấm thu hái tại Đắk Lắk. Kết quả cho thấy viên nang cứng không thể hiện độc tính cấp đường uống trên chuột nhắt với liều tối đa có thể cho uống qua kim là 30 g/kg. Viên nang bụp giấm liều 155; 310 và 620 mg/kg thể hiện tác dụng điều hòa lipid cấp trên mô hình chuột nhắt gây rối loạn lipid máu cấp bằng tyloxapol. Trong đó liều 155 mg/kg thể hiện tác dụng dược lý tương đương so với thuốc đối chứng fenofibrat liều 50 mg/kg trong việc làm thay đổi các chỉ số lipid máu (p < 0,05).
Notas sobre la historia intelectual de América Latina como campo de reflexión e investigación
Authors: Marichal Carlos 
Published: October 2023

En este texto se revisan antecedentes de la historia intelectual en Europa y los Estados Unidos que han alimentado discusiones, estudios y publicaciones en dicho terreno en nuestra región latinoamericana a lo largo de los últimos treinta años. Luego, se ofrece un panorama sintético de las escuelas, grupos de trabajo y protagonistas más prolíficos de la historia intelectual —in sensu lato— en América Latina de la época actual.
Los significados editoriales del Boom latinoamericano: Skinner y la historia intelectual latinoamericana
Authors: Sáizar de la Fuente Consuelo 
Published: October 2023

Este artículo aborda el Boom latinoamericano como proceso editorial de profesionalización y globalización de las novelas de la región en los años sesenta del siglo XX. Se alude a la teoría y metodología de Quentin Skinner para el estudio del significado y comprensión de las ideas. Se argumenta que hubo un proceso simultáneo de internacionalización y de consolidación profesional de cuatro escritores clave del Boom (Julio Cortázar, Carlos Fuentes, Gabriel García Márquez y Mario Vargas Llosa) y que dicho proceso implicó que el fenómeno tuviese a la industria editorial española como base, con el editor Carlos Barral y la pionera agente literaria Carmen Balcells, quienes supieron aprovechar el significativo capital cultural y el ambiente propicio para difundir las novelas latinoamericanas en el mundo de habla española y la promoción de traducciones para otros públicos lectores. Así, se explora la adaptación y extensión de planteamientos de Skinner al contexto latinoamericano contemporáneo para la producción de historia, se ubica al Boom como parte integral de la cuarta fase de la historia intelectual latinoamericana, según Juan Marichal, y se aborda la faceta de los significados editoriales de la globalización de la novela de la región para contribuir al estudio del Boom latinoamericano.
Nondestructive high-throughput screening of wheat spike and grain
Authors: Hufnagel Eva , Weule Mareike , Claussen Joelle , Gerth Stefan 
Published: October 2023

Given the changing environmental conditions, understanding internal
mechanisms of crops and their interaction with the environment in
abiotic stress conditions is very important. To estimate the yield of
e.g. wheat, spike and grain traits are used for the selection of
resilient genotypes for further breeding programs. Typically, the
extraction of these traits is laborious and destructive. With automated
X-ray technology a non-destructive screening of spikes can be conducted
faster and more accurate. Furthermore, the technology allows extracting
additional traits such as center of mass and aspect ratio of each grain,
together with the position of the grain within the spike.
We present the analysis of 203 wheat accessions carried out using a
portable computed-tomography system (CT). The wheat plants were exposed
to either drought or combined drought and heat stress. With the EarS
algorithm, spike traits were analyzed with an accuracy of 95-99%. The
system scanned 4 spikes simultaneously, which resulted in a
scanning-time of 7 minutes per spike. To enable a high-throughput
acquisition and comparison of wheat traits, we present the required
steps for automation. Thus, together with PhenoKey, we developed an
automated CT-system with integrated conveyor belt for The Plant
Accelerator®, University of Adelaide. This system examines spikes and
grains with high throughput. The system has space for 35 spike holders,
each of which can carry 30 spikes. This allows a scanning time of 13
seconds per spike. Combined with an automatic data post processing each
grain can be identified and linked to the corresponding genotype.
Combining Solar-Induced Chlorophyll Fluorescence (SIF) with Functional Phenotyping Systems: Assessing Limitations in Estimating Photosynthesis Under Stress
Authors: Mayo Amir , Moshelion Menachem , Liran Oded 
Published: October 2023

High-throughput measurements of photosynthesis across various
cultivars/genomes and environmental conditions are crucial for
understanding plant photosynthetic adaptability. Advanced remote sensing
techniques, such as solar-induced chlorophyll fluorescence (SIF),
facilitate field-based, high-throughput photosynthesis assessments. Our
research explored whether combining SIF measurements with whole-plant
water relation data during standardized drought experiments could
effectively quantify photosynthetic activity and early-stage water
stress detection. We employed the functional-phenotyping PlantArray
system for controlled drought treatment and simultaneous monitoring of
growth and water balance in 72 tomato plants from four different
introgression lines (ILs).
We introduced a SIF-derived index, electron transport rate (RS-ETRi),
and found it negatively correlated with whole-plant stomatal conductance
(Gsc) under normal conditions, and positively during drought.
Surprisingly, no substantial links were found between SIF and either
plant biomass or Gsc. Among various vegetation indices (VIs), SIF 687
was the earliest drought indicator but presented detection challenges
due to its weak signal. Interestingly, while SIF parameters failed to
differentiate between ILs, significant differences were observed through
gravimetric water-relation measurements.
Our findings suggest that while SIF is a valuable tool in photosynthesis
studies, its correlation with photosynthetic activity is complex. Thus,
using SIF alone to quantify photosynthetic activity might be an
oversimplification. We concluded that SIF does not offer advantages over
traditional methods in detecting physiological variations among ILs,
highlighting the complexity and limitations of SIF in plant
physiological research.
Digital Twins Models for Crop Phenotyping, Management and Yield Forecasting
Authors: Landivar-Bowles Juan , Pal Pankaj , Bhandari Mahendra , Landivar-Scott Jose Luis 
Published: October 2023

Phenotype characterization is an exciting new field that links
agriculture and data science. Thanks to advances in remote sensing and
artificial intelligence, we can now accurately quantify field-scale
phenotypic information and integrate this big data into predictive and
prescriptive management tools.
Our past work has shown that phenotypic information measured from UAS is
more precise and reliable than manual field measurements. In addition,
we have shown that the vast size of this data can outweigh the
complexity of the problem, to the point where even a simpler algorithm
can outperform a sophisticated algorithm when big enough training data
are available. This is because the big data captures even very
infrequent aspects of the problem of interest, which can be modeled with
simple logics.
The availability of UAS data makes it possible to develop digital twin
models to forecast future plant growth and develop in-season management
plans. A digital twin model is a virtual representation of real-world
entities and processes. These models use early growth patterns of a crop
as input to artificial intelligence algorithms so that the algorithms
can predict crop performance during the next 10, 20, or 30 days ahead of
the last data point collected by the UAS. Crop growth features
forecasting results can be useful for the management of irrigation,
growth regulators, maturity of the crops, and to obtain early-season
yield estimation.
Root Phenotyping Using Pose Estimation
Authors: Berrigan Elizabeth Marie , Wang Lin , Carrillo Hannah , Echegoyen Kimberly , Kappes Mikayla , Torres Jorge , Ai-Perreira Angel , McCoy Erica , Shane Emily , Copeland Charles , Ragel Lauren , Georgousakis Charidimos , Lee Sanghwa , Reynolds Dawn , Talgo Avery , Gonzalez Juan , Zhang Ling , Rajurkar Ashish , Ruiz Michel , Daniels Erin , Maree Liezl , Pariyar Shree , Busch Wolfgang , Pereira Talmo D. 
Published: October 2023

Image segmentation is commonly used to estimate the location and shape
of plants and their external structures. Segmentation masks are then
used to localize landmarks of interest and compute other geometric
features that correspond to the plant’s phenotype. Despite its
prevalence, segmentation-based approaches are laborious (requiring
extensive annotation to train), and error-prone (derived geometric
features are sensitive to instance mask integrity). Here we present a
segmentation-free approach which leverages deep learning-based landmark
detection and grouping, also known as pose estimation. We use a tool
originally developed for animal motion capture called SLEAP (Social LEAP
Estimates Animal Poses) to automate the detection of distinct
morphological landmarks on plant roots. Using high-throughput
phenotyping method Root Architecture 3-D Imaging Cylinder (RADICYL)
across multiple species, we show that our approach can reliably and
efficiently recover root system topology at greater accuracy, faster
speed, and with fewer annotated samples than segmentation-based
approaches. In order to make use of this landmark-based representation
for root phenotyping, we developed a Python library (sleap-roots
) for trait extraction directly comparable to existing
segmentation-based analysis software. We show that landmark-derived root
traits are highly accurate and can be used for common downstream tasks
including genotype classification and unsupervised trait mapping.
Altogether, this work establishes the validity and advantages of pose
estimation-based plant phenotyping. To facilitate adoption of this
easy-to-use tool and to encourage further development, we
make sleap-roots , all training data, models, and trait
extraction code available
at: https://github.com/talmolab/sleap-roots.
Konsep dan Implementasi Literasi Halal pada Pembelajaran IPA
Authors: Cahyanto Tri , Al Zahro Indah Rofi'ah , Windayani Neneng 
Published: October 2023

Literasi halal sebagai bagian dari multiliterasi dapat dikembangkan dalam pembelajaran IPA. Materi-materi dalam pembelajaran IPA bersifat faktual dan aplikatif, sehingga pada penerapannya dibutuhkan literasi halal sebagai pedoman dalam menentukan halal dan haram suatu produk pembelajaran IPA. Tujuan dilakukan penelitian ini untuk menganalisis korelasi konsep literasi halal pada pembelajaran IPA dengan implementasi literasi halal pada pembelajaran IPA. Penelitian yang dilakukan enggunakan metode explanatory survey dengan pendekatan kuantitatif. Hasil penelitian menunjukan bahwa antara konsep dan implementasi literasi halal dalam pembelajaran IPA berkorelasi positif sebesar 0,966. Interpretasi koefisien korelasi angka tersebut terdapat pada rentang 0,80 -1,00 “sangat kuat” hal ini menunjukan adanya hubungan (korelasi) yang sangat kuat (signifikan) antara konsep dengan implementasi literasi halal pada pembelajaran IPA.
Is God a Body? Isaiah, Divine Dissimilitude, and Scriptural Signification
Authors: Harkins Franklin T. 
Published: October 2023

Abstract
In light of recent biblical scholarship claiming that the God of the Hebrew Bible has a body, this article investigates how Aquinas reads Isaiah’s description of God in embodied, anthropomorphic terms in 6, 1 (I saw the Lord sitting on a throne high and lifted up, etc.) in tandem with the prophet’s denial that God is like any creature in 40, 18 (To whom have you likened God? Or what image will you make for Him?). We seek to show that, according to Aquinas, Is. 6, 1 teaches not that God has or is a body, but rather that He is not.
Nobilior Modus Est: The Importance of Music in the Theology of Thomas Aquinas
Authors: McGann Dominic 
Published: October 2023

Abstract
This paper presents a reading of Aquinas’ treatment of the value of music in religious teaching and preaching about God that reinterprets his claim in ST II-II, q. 91, a.2 that language is of ‘a more noble kind’ than music. Through an understanding of Aquinas’ writings on ‘contemplation’ a more complex and thorough treatment of music can be outlined. Far from simply presenting an argument for the superiority of language over music for the purpose of gaining religious understanding, this paper argues that Aquinas’ wider literary corpus on the subject of contemplation provides both implicit and explicit support for the parallel value music and language.
This is not ‘interesting’ research: Authentically Co-Creating Participatory Action Research in UK’s Post-Covid Culture Industries
Authors: Rai Amit , Essilfie Will 
Published: October 2023

Abstract
This essay explores methodological, ethical, and practical aspects of authentically co-creating participatory action research (PAR) in post-Covid 19 participatory arts contexts in the UK. It analyses the limits and possibilities of PAR methods into leadership pathways in the UK’s arts and culture sector. In critical dialogue with decolonial and intersectional frameworks that seek to challenge and transform institutionalised privilege in the wake of the Covid pandemic, we investigate the financialisation of participatory strategies of cultural co-creation, with a particular focus on questions of racial and class dynamics in the arts. This essay develops a decolonial political ontology of PAR through a critique of both authenticity and its financialisation in participatory action research projects. Drawing on recent critical analyses of ‘post-extractivism’ and ‘co-creation’ in participatory research, we suggest that the recent financialisation of ‘impactful’ participation is an increasingly important but neglected ‘matter of concern’ for critical PAR methodologies.