bluuebunny/crossref_metadata_2025_split huggingface dataset:
Eco-friendly green approach of nickel oxide nanoparticles for biomedical applications
Authors: Sagadevan Suresh , Fatimah Is , Anita Lett Jayasingh , Rahman Md Zillur , Leonard Estelle , Oh Won-Chun 
Published: October 2023

AbstractThe two most prominent areas of nanotechnology and nanoscience are environmental remediation and biomedical applications, which has a strong need to develop cleaner and more eco-friendly methods for preparing functional nanomaterials. This involves incorporating non-toxic chemicals and reagents for converting metal cations into metal or metal oxide nanoparticles (NPs), using readily available plant reagents and microbes as redox mediators. The extracts of these plants and microbes contain varying amounts of phytochemicals and metabolites that act as redox mediators and capping agents to stabilize biosynthesized NPs. Considering these natural reagents for forming metal/metal oxide NPs, the present work aims to provide a complete review of the green fabrication of nickel oxide (NiO) NPs using extracts from various plant and microbial sources. In addition, the performance of various biosynthesized NiO NPs and their potential uses in biological applications are discussed.
Development and research of deep neural network fusion computer vision technology
Authors: Wang Jiangtao 
Published: October 2023

AbstractDeep learning (DL) has revolutionized advanced digital picture processing, enabling significant advancements in computer vision (CV). However, it is important to note that older CV techniques, developed prior to the emergence of DL, still hold value and relevance. Particularly in the realm of more complex, three-dimensional (3D) data such as video and 3D models, CV and multimedia retrieval remain at the forefront of technological advancements. We provide critical insights into the progress made in developing higher-dimensional qualities through the application of DL, and also discuss the advantages and strategies employed in DL. With the widespread use of 3D sensor data and 3D modeling, the analysis and representation of the world in three dimensions have become commonplace. This progress has been facilitated by the development of additional sensors, driven by advancements in areas such as 3D gaming and self-driving vehicles. These advancements have enabled researchers to create feature description models that surpass traditional two-dimensional approaches. This study reveals the current state of advanced digital picture processing, highlighting the role of DL in pushing the boundaries of CV and multimedia retrieval in handling complex, 3D data.
Breast cancer segmentation using a hybrid AttendSeg architecture combined with a gravitational clustering optimization algorithm using mathematical modelling
Authors: Yu Liping , Shaheema S. Berlin , Sunil J. , Govindan Vediyappan , Mahimiraj P. , Li Yijie , Jamshed Wasim , Hassan Ahmed M. 
Published: October 2023

Abstract
Breast cancer diagnosis relies on breast ultrasound (BUS) and the early breast cancer screening saves lives. Computer-aided design (CAD) tools diagnose tumours via BUS tumour segmentation. Thus, breast cancer analysis automation may aid radiologists. Early detection of breast cancer might help the patients to survive and in context with this many approaches have been demonstrated by different researches, however, some of the works are weak in the segmentation of breast cancer images. to tackle these issues, this study propose a novel Hybrid Attendseg based gravitational clustering optimization (HA-GC) method which is utilized to segment breast cancer as normal malignant, and benign. For this we have taken the dataset known as breast ultrasound (BUS) images. This method constructively segments the breast cancer images. Prior to the segmentation, pre-processing is carried out which can be used to normalize the images incorporated with the removal of unwanted noises and format the images Optimization selects the best qualities. An experiment is conducted and compared the results with the parameters such as Dice coefficient, Jacquard, Precision, and Recall and attained over 90% and ensures the usage of present work in the segmentation of breast cancer images.
Building the Foundations for Information Communication in Sports Science and Its Use in Decision Making
Authors: Torres-Ronda Lorena , Curtis Ryan M. 
Published: October 2023

ABSTRACT
A central component of sport science is the development of systematic analytical frameworks to enhance performance through processes that include data collection and analysis to generate insights. Moreover, sport scientists are tasked with preparing information to be communicated with stakeholders to support better decision making. Communication of information using visuals is becoming one of the most in-demand skills of the sport scientist, but this is just one part of a more complex process because effective information transfer requires more than the production of charts and reports. To promote effective communication, modern sport scientists must be able to gain a clear understanding of diverse data structures and the best way to represent them. They must also develop competency in the disciplines of data management, visual design, and information delivery, which can improve the processes of visualizing, reporting, and storytelling. This article focuses on key aspects related to the collection of information and the communication of findings.
Changes in Cortical Microstructure of the Human Brain Resulting from Long-Term Motor Learning
Authors: Lehmann Nico , Aye Norman , Kaufmann Jörn , Heinze Hans-Jochen , Düzel Emrah , Ziegler Gabriel , Taubert Marco 
Published: October 2023

The mechanisms subserving motor skill acquisition and learning in the intact human brain are not fully understood. Previous studies in animals have demonstrated a causal relationship between motor learning and structural rearrangements of synaptic connections, raising the question of whether neurite-specific changes are also observable in humans. Here, we use advanced diffusion magnetic resonance imaging (MRI), sensitive to dendritic and axonal processes, to investigate neuroplasticity in response to long-term motor learning. We recruited healthy male and female human participants (age range 19–29) who learned a challenging dynamic balancing task (DBT) over four consecutive weeks. Diffusion MRI signals were fitted using Neurite Orientation Dispersion and Density Imaging (NODDI), a theory-driven biophysical model of diffusion, yielding measures of tissue volume, neurite density and the organizational complexity of neurites. While NODDI indices were unchanged and reliable during the control period, neurite orientation dispersion increased significantly during the learning period mainly in primary sensorimotor, prefrontal, premotor, supplementary, and cingulate motor areas. Importantly, reorganization of cortical microstructure during the learning phase predicted concurrent behavioral changes, whereas there was no relationship between microstructural changes during the control phase and learning. Changes in neurite complexity were independent of alterations in tissue density, cortical thickness, and intracortical myelin. Our results are in line with the notion that structural modulation of neurites is a key mechanism supporting complex motor learning in humans.SIGNIFICANCE STATEMENTThe structural correlates of motor learning in the human brain are not fully understood. Results from animal studies suggest that synaptic remodeling (e.g., reorganization of dendritic spines) in sensorimotor-related brain areas is a crucial mechanism for the formation of motor memory. Using state-of-the-art diffusion magnetic resonance imaging (MRI), we found a behaviorally relevant increase in the organizational complexity of neocortical microstructure, mainly in primary sensorimotor, prefrontal, premotor, supplementary, and cingulate motor regions, following training of a challenging dynamic balancing task (DBT). Follow-up analyses suggested structural modulation of synapses as a plausible mechanism driving this increase, while colocalized changes in cortical thickness, tissue density, and intracortical myelin could not be detected. These results advance our knowledge about the neurobiological basis of motor learning in humans.
Prefrontal Cortex Codes Representations of Target Identity and Feature Uncertainty
Authors: Witkowski Phillip P. , Geng Joy J. 
Published: October 2023

Many objects in the real world have features that vary over time, creating uncertainty in how they will look in the future. This uncertainty makes statistical knowledge about the likelihood of features critical to attention demanding processes such as visual search. However, little is known about how the uncertainty of visual features is integrated into predictions about search targets in the brain. In the current study, we test the idea that regions prefrontal cortex code statistical knowledge about search targets before the onset of search. Across 20 human participants (13 female; 7 male), we observe target identity in the multivariate pattern and uncertainty in the overall activation of dorsolateral prefrontal cortex (DLPFC) and inferior frontal junction (IFJ) in advance of the search display. This indicates that the target identity (mean) and uncertainty (variance) of the target distribution are coded independently within the same regions. Furthermore, once the search display appears the univariate IFJ signal scaled with the distance of the actual target from the expected mean, but more so when expected variability was low. These results inform neural theories of attention by showing how the prefrontal cortex represents both the identity and expected variability of features in service of top-down attentional control.SIGNIFICANCE STATEMENTTheories of attention and working memory posit that when we engage in complex cognitive tasks our performance is determined by how precisely we remember task-relevant information. However, in the real world the properties of objects change over time, creating uncertainty about many aspects of the task. There is currently a gap in our understanding of how neural systems represent this uncertainty and combine it with target identity information in anticipation of attention demanding cognitive tasks. In this study, we show that the prefrontal cortex represents identity and uncertainty as unique codes before task onset. These results advance theories of attention by showing that the prefrontal cortex codes both target identity and uncertainty to implement top-down attentional control.
Early Peanut Introduction in Infants: Improving Guideline Adherence With EMR Standardization
Authors: Herlihy Lauren E. , Walters Elizabeth M. , D’Auria Jennifer P. , Orgel Kelly , Jordan Katherine A. 
Published: October 2023

OBJECTIVES
Peanut allergy in children is a population health problem. Evidence suggests early peanut introduction (EPI) for infants can reduce the development of peanut allergy. Primary care settings have not widely adopted guidelines recommending EPI. Peanut allergy prevention depends on primary care providers incorporating EPI guidelines into well-child check (WCC) encounters. We aimed to improve guideline adherence in a primary care setting by implementing a bundle of clinical decision support (CDS) tools.

METHODS
Using quality improvement methodology, the team developed a standardized work protocol and CDS tools within an electronic medical record (EMR) at 4, 6, and 9-month WCC encounters. The team executed changes and modifications through plan-do-study-act cycles and analyzed results with statistical process control charts.

RESULTS
We collected data from 445 WCC encounters from baseline through sustainability. EMR documentation of EPI guidance at 4, 6, and 9-month WCCs shifted from 13.9% to 83.5% over 12 months. Provider adoption of smart lists and templates increased from 2% to 73%, the distribution of home peanut introduction handouts increased from 5.2% to 54.1%, and caregiver-reported peanut ingestion increased from 0% to 34.6%. Diphtheria-tetanus-acellular pertussis vaccination rates remained at 100% for 6-month visits, and patient in-room time remained at 65 minutes.

CONCLUSIONS
Quality improvement methodology improved documentation of EPI guidance and increased reported peanut ingestion at routine WCC encounters without impacting other measures. Broader use of bundled CDS tools and EMR standardization could further improve guideline adherence and increase early peanut introduction to prevent peanut allergy in infants.
“Less” Strong Chromatic Indices and the (7, 4)-Conjecture
Authors: Gyárfás András , Sárközy Gábor N. 
Published: October 2023

A proper edge coloring of a graph 𝐺 is strong if the union of any two color classes does not contain a path with three edges (i.e. the color classes are induced matchings). The strong chromatic index 𝑞(𝐺) is the smallest number of colors needed for a strong coloring of 𝐺. One form of the famous (6, 3)-theorem of Ruzsa and Szemerédi (solving the (6, 3)-conjecture of Brown–Erdős–Sós) states that 𝑞(𝐺) cannot be linear in 𝑛 for a graph 𝐺 with 𝑛 vertices and 𝑐𝑛2 edges. Here we study two refinements of 𝑞(𝐺) arising from the analogous (7, 4)-conjecture. The first is 𝑞𝐴(𝐺), the smallest number of colors needed for a proper edge coloring of 𝐺 such that the union of any two color classes does not contain a path or cycle with four edges, we call it an A-coloring. The second is 𝑞𝐵(𝐺), the smallest number of colors needed for a proper edge coloring of 𝐺 such that all four-cycles are colored with four different colors, we call it a B-coloring. These notions lead to two stronger and one equivalent form of the (7, 4)-conjecture in terms of 𝑞𝐴(𝐺), 𝑞𝐵(𝐺) where 𝐺 is a balanced bipartite graph. Since these are questions about graphs, perhaps they will be easier to handle than the original special(7, 4)-conjecture. In order to understand the behavior of 𝑞𝐴(𝐺) and 𝑞𝐵(𝐺), we study these parameters for some graphs.We note that 𝑞𝐴(𝐺) has already been extensively studied from various motivations. However, as far as we know the behavior of 𝑞𝐵(𝐺) is studied here for the first time.
Development and Validation of a New Hierarchical Composite End Point for Clinical Trials of Kidney Disease Progression
Authors: Heerspink Hiddo J.L. , Jongs Niels , Schloemer Patrick , Little Dustin J. , Brinker Meike , Tasto Christoph , Karpefors Martin , Wheeler David C. , Bakris George , Perkovic Vlado , Nkulikiyinka Richard , Rossert Jerome , Gasparyan Samvel B. 
Published: October 2023

Significance Statement
The established composite kidney end point in clinical trials combines clinical events with sustained large changes in GFR but does not weigh the relative clinical importance of the end point components. By contrast, a hierarchical composite end point (HCE) accounts for the clinical importance of the end point components. The authors developed and validated a kidney HCE that combines clinical kidney outcomes with longitudinal GFR changes (GFR slope). They demonstrate that in seven major placebo-controlled kidney outcome trials with different medications, treatment effect estimates on the HCE were consistently in similar directions and of similar magnitudes compared with treatment effects on the established kidney end point. The HCE's prioritization of clinical outcomes and ability to combine dichotomous outcomes with GFR slope make it an attractive alternative to the established kidney end point.

Background
The established composite kidney end point in clinical trials combines clinical events with sustained large changes in GFR. However, the statistical method does not weigh the relative clinical importance of the end point components. A HCE accounts for the clinical importance of the end point components and enables combining dichotomous outcomes with continuous measures.

Methods
We developed and validated a new HCE for kidney disease progression, performing post hoc analyses of seven major Phase 3 placebo-controlled trials that assessed the effects of canagliflozin, dapagliflozin, finerenone, atrasentan, losartan, irbesartan, and aliskiren in patients with CKD. We calculated the win odds (WOs) for treatment effects on a kidney HCE, defined as a hierarchical composite of all-cause mortality; kidney failure; sustained 57%, 50%, and 40% GFR declines from baseline; and GFR slope. The WO describes the odds of a more favorable outcome for receiving the active compared with the control. We compared the WO with the hazard ratio (HR) of the primary kidney outcome of the original trials.

Results
In all trials, treatment effects calculated with the WO reflected a similar direction and magnitude of the treatment effect compared with the HR. Clinical trials incorporating the HCE would achieve increased statistical power compared with the established composite end point at equivalent sample sizes.

Conclusions
In seven major kidney clinical trials, the WO and HR provided similar direction of treatment effect estimates with smaller HRs associated with larger WOs. The prioritization of clinical outcomes and inclusion of broader composite end points makes the HCE an attractive alternative to the established kidney end point.
ИНТЕГРАТИВНЫЕ (КОНВЕРГЕНТНЫЕ) КОНЦЕПЦИИ СООТНОШЕНИЯ РЕЛИГИИ И НАУКИ
Authors: Мекушкин Андрей Александрович 
Published: October 2023

Целью исследования является раскрытие содержания и специфики интегративных (конвергентных) концепций соотношения религии и науки.
Методологической основой исследования является выделение двух теоретико-методологических подходов к исследованию корреляций религии и науки: дивергентного и интегративного (конвергентного) подходов.
Результаты исследования. В статье выявлено, что когнитивное сходство христианства и науки имеет генетические корни, ибо новоевропейская наука формируется в XVI–XVII столетиях во многом под влиянием христианских общедогматических предпосылок, доктрин католической теологии, а также их трансформаций в теологии протестантизма. Показано, что русские религиозные философы, не принявшие культа отвлечённого мышления, характерного для западноевропейской научной рациональности, разрабатывают интегративные проекты нового типа мышления — «цельного духа», «верующего мышления», «цельного знания». Принципиальное отличие проекта славянофилов от философии всеединства В. С. Соловьёва связано со спецификой религиозных оснований данных проектов.
Перспективы исследования. Рассмотрение содержания и специфики интегративных (конвергентных) концепций соотношения религии и науки в русской религиозно-философской традиции является важным методологическим шагом перспективной разработки теоретической модели интеллектуальной культуры православия.
СОВЕРШЕНСТВОВАНИЕ МЕХАНИЗМА ИНФОРМАЦИОННО-АНАЛИТИЧЕСКОГО ОБЕСПЕЧЕНИЯ ЦИФРОВИЗАЦИИ ПРЕДПРИЯТИЙ АГРОПРОМЫШЛЕННОГО КОМПЛЕКСА
Authors: Землякова Светлана Николаевна , Комиссарова Мария Анатольевна , Шамота Елизавета Сергеевна 
Published: October 2023

Целью исследования является совершенствование механизма информационно-аналитического обеспечения цифровизации предприятий агропромышленного комплекса.
Методологическую базу исследования представляют базисные положения концепции стратегического развития предприятий агропромышленного комплекса в условиях цифровизации. К используемым научным методам относятся сравнительный, причинно-следственный и статистический анализ.
Результаты исследования. На сегодняшний день практика работы предприятий агропромышленного комплекса требует разработки совокупности вопросов, связанных с особенностями изучения отдельных научно-теоретических и практических проблем оптимизации и повышения эффективности деятельности отрасли АПК в условиях стремительного и повсеместного внедрения цифровых технологий. Обработка информации и ее анализ обеспечивается действенным современным механизмом информационно-аналитического обеспечения, которое подлежит регулярному пересмотру и совершенствованию согласно научно-техническому прогрессу на базе современных продуктов цифровизации учетно-аналитических аспектов деятельности предприятий агропромышленного комплекса. В настоящее время внедрение цифровых технологий в сфере агропромышленного комплекса в России развито слабо. Несмотря на повсеместную цифровизацию экономики, большая часть агропромышленных предприятий не торопятся внедрять цифровые инструменты в свою работу. Проблема медленной сферы агропромышленного комплекса актуальна по причине непонимания положительных эффектов такой трансформации и сомнения в экономической целесообразности вложений в подобные инновации. Проведенные исследования позволяют предположить, что структура предложенного механизма с течением времени имеет тенденцию к видоизменению и актуализируется в квалитивный механизм, трендовый современному цифровому прогрессу и его достижениям.
Перспективы исследования заключаются в развитии направлений для перехода ведения деятельности предприятий агропромышленного комплекса по средствам современных цифровых технологий.
ПОТЕНЦИАЛ РАЗВИТИЯ ТЕРРИТОРИЙ ОПЕРЕЖАЮЩЕГО СОЦИАЛЬНО-ЭКОНОМИЧЕСКОГО РАЗВИТИЯ В РОСТОВСКОЙ ОБЛАСТИ
Authors: Куликов Михаил Михайлович 
Published: October 2023

Целью исследования является определение перспективы развития территорий опережающего социально-экономического развития (ТОСЭР) Гуково, Донецк и Зверево в Ростовской области, преимуществ и недостатков использования ТОСЭР для ускорения развития экономики, в том числе в моногородах.
Методологическую базу исследования представляют законодательные акты по развитию моногородов и ТОСЭР в Российской Федерации, статистические данные российских рейтингов ТОСЭР, научные публикации, аналитические и отраслевые отчеты Минэкономразвития РФ и Минпромторга РФ, Правительства Ростовской области по созданию и развитию ТОСЭР. Использование этих методов и подходов дает возможность изучить цели и условия создания ТОСЭР, их преимущества и недостатки перед другими инструментами экономического развития России, исследовать необходимость адаптации условий создания и функционирования ТОСЭР к современным требованиям, оценить направления совершенствования условия по ТОСЭР.
Результаты исследования. Одним из важных результатов является разработанный алгоритм по вступлению потенциальных резидентов в ТОСЭР с учетом специфических особенностей региона, отраслевой специализации и направлений промышленного развития. Делаем вывод, что приоритетное значение для развития ТОСЭР в Ростовской области 2027 года обусловлено необходимостью повышения уровня и качества взаимодействия муниципалитетов, региональных властей с потенциальными резидентами ТОСЭР с созданием механизма контроля взаимодействия инвестора и государственных органов на каждом этапе участия резидента в ТОСЭР.
Перспективу исследования составляет углубленный анализ факторов, влияющих на текущее функционирование и потенциал развития ТОСЭР в Ростовской области.