bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of a novel lymph node classification-based model for predicting survival in major salivary gland cancer
Authors: shen wenyi , gong zhiyuan , cheng yangxi , zhu runqiu , zhu huiyong 
Published: July 2023

Abstract
Background
Current lymph node (LN) staging is controversial in predicting the survival of major salivary gland cancer (MSGC). Recently, a novel LN staging system for MSGC has been proposed. This study aimed to validate the prognostic value of the novel LN staging system and develop a new LN classification-based nomogram to predict the individualized overall survival (OS) of MSGC patients.
Methods
A total of 4563 MSGC patients were identified from the Surveillance Epidemiology and End Results (SEER) database (2004–2015). They were further randomly divided into the training and validation cohorts (7:3). OS was estimated by the Kaplan-Meier method, and prognostic factors were assessed using Cox proportional hazards model. Then, a prognostic nomogram predicting the survival of SGC was derived and validated. Finally, the discrimination and calibration of the nomogram were evaluated using C-index, the area under the time-dependent receiver operating characteristic curve (time-dependent AUC), and calibration plots. Decision curve analysis (DCA) was used to compare the clinical practicability between the nomogram and American Joint Committee on Cancer (AJCC) staging system.
Results
The novel LN staging system was found to be independently associated with OS in MSGC, and it exhibited better discriminatory ability than the current AJCC LN staging system. Meanwhile, a prognostic nomogram based on this staging was formulated. The C-index of the nomogram was 0.793 (95% CI: 0.781–0.805) in the training cohort, which was higher than the C-index of the AJCC staging system (0.707, 95% CI: 0.693–0.721, p < 0.001). And the time-dependent AUC (> 0.8) also indicated that the nomogram had a satisfactory discriminative ability. The calibration plots showed that the nomogram predicted was consistent with the actual observation. Additionally, DCA demonstrated that the nomogram had a better clinical application value than the AJCC staging system.
Conclusions
The novel SGC-specific LN staging system exhibited an excellent prognostic value for OS in patients with MSGC. And the proposed nomogram based on this LN staging showed better accuracy and applicability in predicting the OS of MSGC patients than the AJCC staging system.
VGAE-MCTS: A New Molecular Generative Model Combining Variational Graph Auto-Encoder and Monte Carlo Tree Search
Authors: Iwata Hiroaki , Nakai Taichi , Koyama Takuto , Matsumoto Shigeyuki , Kojima Ryosuke , Okuno Yasushi 
Published: July 2023

Abstract

Molecular generation is crucial for advancing drug discovery, materials science, and chemical exploration. It expedites the search for new drug candidates, facilitates tailored material creation, and enhances our understanding of molecular diversity. By employing artificial intelligence techniques, such as molecular generative models based on molecular graphs, researchers have tackled the challenge of identifying efficient molecules with desired properties. Here, we propose a new molecular generative model combining a graph-based deep neural network and a reinforcement learning technique. We evaluated the validity, novelty, and optimized physicochemical properties of the generated molecules. Importantly, the model explored uncharted regions of chemical space, allowing for the efficient discovery and design of new molecules. This innovative approach has considerable potential to revolutionize drug discovery, materials science, and chemical research for accelerating scientific innovation. By leveraging advanced techniques and exploring previously unexplored chemical spaces, this study offers promising prospects for the efficient discovery and design of new molecules in the field of drug development.
Carbon Emission Dynamics in India Due to Financial Development, Renewable Energy Utilization, Technological Innovation, Economic Growth, and Urbanization
Authors: voumik liton chandra 
Published: July 2023

Abstract

Concerns about climate change, emission reduction, and environmental sustainability have become crucial in accomplishing long-term development goals. The present study explored the dynamic effects of financial development, renewable energy utilization, technological innovation, economic growth, and urbanization on carbon dioxide (CO2) emissions in India. This investigation quantifies short- and long-run dynamics using time series data from 1990 to 2020 and an Autoregressive Distributed Lag (ARDL) model. The outcomes from ARDL short- and long-run analysis revealed a positive and significant effect of financial development, economic growth, and urbanization on CO2 emissions in India. In contrast, both the short- and long-term coefficients for renewable energy utilization and technological innovation are negative and statistically significant, suggesting that expanding these variables will lead to lower CO2 emissions. The findings were validated by employing the Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR) methods. This research provides novel findings that add to the current literature and may be of special relevance to policymakers in the country because of the role that the financial system plays in environmental concerns.
A comprehensive overview on phytomedicines as an upcoming/emerging candidate for the management of epilepsy
Authors: Kumari Priya , Kumar Pravin , Ashawat Mahendra Singh , Sharma Palak 
Published: July 2023

Background: The word "epilepsy" refers to a category of chronic CNS illnesses characterised by spontaneous occurrence of seizures, which are typically accompanied by loss of consciousness and uncontrollable shaking of the body (convulsions). Epilepsy is one of the most commonly occurring non-communicable neurological disorder that affects people of all age groups. By preventing discharge and inducing hypnosis, anticonvulsant medications are used to manage convulsions. The medication used for the therapy includes phenytoin (PHT), diazepam, valproate (VPA), levetiracetam, etc. These medications have brand-new effectiveness ranges and brand-new side effects. They also represent a significant cost increase. Herbal medicine, which has its roots in ancient civilizations, involves the use of medicinal plants to treat diseases and promote overall well-being. Although the widespread use of herbal medicine as an antiepileptic, there is little solid data supporting the effectiveness and safety of the majority of herbs. Additionally, the herbal remedy needs to pass a rigorous, evidence-based review. As herbal drugs are derived from natural sources, they are often considered safer than synthetic drugs. Therefore, there is a growing interest in exploring the potential of herbal medicine for treating neurodegenerative diseases such as Parkinson's disease. Due to their lower adverse effects, herbal medications are becoming more and more popular for the adjuvant treatment of epilepsy.
Objective: The objective of this article is to investigate whether herbal medications have potential as a treatment option for Parkinsonism, and to provide a clear understanding of the current state of research on this topic.
Keywords: Convulsion, epilepsy, herbal treatment, seizures, phytoconstituents, herbal medicine, GABA.
The Implementation of Scientific Approach to Improve Mathematical Understanding Ability on Junior High School Students
Authors: Silvia Silvi , Fitrianna Aflich Yusnita , Hendriana Heris 
Published: July 2023

Mathematical understanding ability is a very important skill for students to achieve, because mastering mathematical involves more than just remembering formulas and knowing how to count, understanding concepts is also needed. But in reality, understanding skills are still low, students are still mostly fixated on existing formulas and examples given by the teacher. The purpose of this study was to see the improvement of mathematical understanding ability of VII students on Algebra material at Dharma Kartini Junior High School. This research uses classroom action research (CAR). The method used the spiral model of action research fromÂ Kemmis and McTaggart. The instrument used was a test instrument consisting of 10 questions of algebra material which was prepared based on the mathematical understanding ability of students whose learning used a scientific approach. This research was conducted in 2 cycles, each cycle consists of several stages starting from the planning, action, observation and reflection stages. The results of this study indicate that the aspects of students' mathematical understanding ability have increased as seen from the increasing percentage achievement on the question indicators after 2 learning cycles, namely in cycle I by 48% and cycle II by 78%. It is known that algebra material in class VII students of Dharma Kartini Junior High School can be influenced by the scientific approach with mathematical understanding ability. As more and more students showing understanding they can conclude and explain back what they have learned.
Grunty nierolne w Zasobie Własności Rolnej Skarbu Państwa
Authors: Klusek Tomasz 
Published: July 2023

W skład Zasobu Własności Rolnej Skarbu Państwa oprócz gruntów rolnych wchodzą także grunty nierolne, którymi obrót Agencja Nieruchomości Rolnych monitoruje od 2004 roku. Z dostępnych danych wynika, że w ostatnich latach rośnie ich sprzedaż i przychody uzyskiwane z tego tytułu. Jest to determinowane w szczególności dwoma czynnikami. Pierwszy, to atrakcyjna oferta gruntów nierolnych pozostających do rozdysponowania, w dużej części zlokalizowanych w granicach administracyjnych miast. Drugim czynnikiem są działania marketingowe i promocyjne zmierzające do intensyfikacji sprzedaży tego typu nieruchomości, ze szczególnym uwzględnieniem oferty tzw. terenów inwestycyjnych.
Repellent effect of Gardenia jasminoides ethanol extracted oil on Blattella germanica and Monomorium pharaonis
Authors: Wagan T.A. , Hamada C. , Cai W. , Hongxia H. , Solangi G.S. , Lyu R.H. 
Published: July 2023

Summary
The study examined the repellency of Gardenia jasminoides ethanol-extracted oil against the German cockroach, Blattella germanica, and the pharaoh ant, Monomorium pharaonis, which are serious pests in areas of public health hygiene. For the repellency tests, 31.4 μg of the oil was applied per cm2 on one half of filter paper discs (9 or 15 cm diameter for the ant and cockroach, respectively), whereas the other half was treated as control (DMSO + Tween). Repellency effects were observed 1, 2, 3 and 4 h after the insect release. The oil showed high repellency against all life stages of cockroaches and worker ants. The maximum repellency was observed for the cockroach adults (81.7 ± 3.1%) followed by the fourth, third and second nymphal stages (76.7 ± 4.2, 75.0 ± 3.4, and 56.7 ± 8.4%, respectively), after 1h exposure. The repellence effect was strong against worker ants (78.3 ± 4.8%) after 1 h exposure. The repellence effect can last at least four hours for both species. Analysis of Gardenia oil with Gas chromatography-mass spectrometry identified 14 major chemical components.
Ultrasonic Decontamination of Chemical Warfare Agents
Authors: Ginghina Raluca Elena , Toader Gabriela , Țigănescu Tudor Viorel , Deliu Panaghia , Moșteanu Dănuț-Eugeniu 
Published: July 2023

Abstract
Sonochemistry studies the physical and molecular level changes induced by ultrasonic energy on solutions. Sonochemical degradation of the chemical warfare agents (CWA) may occur due to three successive phenomena based on the principles of acoustic cavitation phenomena: nucleation, growth, and implosive collapse of microbubbles. The sonolytic degradation of CWA was quantified by GC-MS technique, considering the variation of some parameters such as frequency of ultrasonic waves, power control, temperature, and addition of nanoparticles as catalysts to the solution.
Seiketsu, Standardizing – the Fourth Step of the 5S Methodology
Authors: Moro Nicolae , Bârsan Ghiță 
Published: July 2023

Abstract
A useful tool for organizing jobs is the 5S methodology, which is essentially a program structured in five stages to obtain systematically: organization, cleanliness and standardization in the workplace, thus contributing to improving productivity, reducing quality nonconformities and job security problems, being a method that involves employees from all hierarchical levels using standards and discipline. Seiketsu is the fourth S in the 5S series and resets a suitable environment for safe and efficient work by establishing a set of standards to maintain optimized conditions and practices in the work area. Seiketsu aims to maintain high standards of organization in the workplace and should be understood as a set of well-defined work rules. Standards must make deviations visible, so visual management is often used.
Applications of Radioactive Isotopes
Authors: Stoian Adrian Ioan 
Published: July 2023

Abstract
The discovery of radioactivity, a fundamental property of certain atoms, is credited to several scientists, including Henri Becquerel and Marie and Pierre Curie, who together made ground-breaking discoveries that paved the way for the use of radioactive isotopes in various applications in fields such as medicine, agriculture, industry, or archaeology. In medicine especially, radioactivity plays a crucial role, with application in both diagnosis and treatment of various diseases, including cancer. However, radioisotopes also pose potential risks to human health and the environment if not handled properly, causing damage to cells and increase the risk of cancer and other health problems. Nevertheless, their uses are regulated and monitored to ensure safety and, therefore, their utilization has firmly increased in the last decades. Overall, radioactive isotopes are a valuable tool in a wide range of fields and their continued development and application will remain important for years to come.
Modelling UAV Operators in Closed Loop Flight Control Systems
Authors: Szabolcsi Róbert 
Published: July 2023

Abstract
The semi-automated control systems include human operators accomplishing different tasks. The UAVs’ semi-automated control means a special ‘man-machine’ system. The UAV operators gaining real time information and leaning on experiences gained in the past will control the UAV. His knowledge and high level skills are required to conduct successfully any flight mission he was tasked for. Hence, to accomplish any regulation or tracking control problem, the UAV operator shall rely on his theoretical and practical skills to achieve goals of the UAV flights. Additionally, the UAV closed loop control system can be analysed leaning on mathematical models of the human operators. Different readiness of the UAV operators will ensure different efficiency of the UAV flight mission. This paper deals with UAV closed loop control system analysis when the pilot-in-the-loop (PiL) problem is addressed to show importance of use of different models of the UAV operators.
Application of machine learning technologies
Authors: Баширов М.Г. , Люсов Р.С. , Акчурин Д.Ш. 
Published: July 2023

В наше время цифровой мир представляет собой набор большого объема данных, например, биометрические данные, корпоративные данные, данные о месте жительства и другие. При интеллектуальной классификации этих данных, а также разработке интеллектуальных автоматизированных систем определяющую роль имеют знания искусственного интеллекта, а именно машинного обучения (МО). Существуют различные подходы к анализу и обработке данных при машинном обучении, такие как контролируемые, полу-контролируемые, неконтролируемые обучения и обучение с подкреплением. Глубокое обучение (ГО), которое является частью подгруппы методовмашинного обучения, способноинтеллектуально классифицировать данные в больших объемах. В статье представлен обзор существующих методов машинного обучения, которые применяются в системах искусственного интеллекта, оценены перспективы их применение в различных областях и приведен пример прикладного применения машинного обучения для оценки технического состояния и прогнозирования ресурса нефтегазового оборудования.Nowadays, the definition of "digital life" includes a great deal of data gathering, including biometrics, data related to the business sphere, and many others. Moreover, machine learning(ML) plays a crucial role in the intellectual categorization of the particular sort of the data along with elaborating of the mechanized systems. In addition, there are different approaches to scrutinizing and converting the information into machine learning, for instance, controlled, semi-controlled, uncontrolled, and reinforcing learning. Despite the fact that in-depth research is only a part of a wider subset of machine-learning techniques, it is capable of intelligently classifying large volumes of data. The article provides a comprehensive review of the improvement in capacity and intelligence of the implementation by using machine learning techniques. As for the main goal of this research, it is to describe the principles of different algorithms of machine learning and how to implement this knowledge in several spheres nowadays. There is an abundance of fields, including chemicals and petrochemicals, medicine, automobiles, sports, and countless other spheres, where machine learning has successfully been applied. This document addresses prospective analysis difficulties and sections in accordance with this research. Index terms: neural network coordinates of the focal spot, activation purpose, multipoint electro-optical system.
3D PRINTING TECHNOLOGY TO IMPROVE THE PERFORMANCE OF DIRECTIONAL MICROSTRIP COUPLES
Authors: Шершнёв С.И. , Ваганов М.А. 
Published: July 2023

Контроль и поддержание на заданном уровне мощности в выходных каскадах мощных СВЧ усилителей – являются на сегодняшний день актуальными задачами. В статье рассмотрены направленные ответвители, как ключевые элементы систем для измерения и контроля уровня мощности СВЧ сигнала. Обозначены преимущества использования технологии 3D печати при проектировании направленных ответвителей. Приведены результаты сравнения разработанных и изготовленных микрополосковых ответвителей C-диапазона, выполненных на традиционном высокочастотном печатном основании «Rogers RO4003С» и результатов электромагнитного моделирования ответвителя, выполненного по технологии 3D печати.Control and maintenance at a given level of power in the output stages of powerful microwave amplifiers are actual tasks today. The article considers directional couplers as key elements of systems for measuring and controlling the power level of a microwave signal. The advantages of using 3D printing technology in the design of directional couplers are outlined. The results of a comparison of the developed and manufactured C-band microstrip couplers, made on the traditional high-frequency printed base "Rogers RO4003C" and the results of electromagnetic modeling of the coupler, made using 3D printing technology, are presented.
STUDY OF THE CONDENSATION REACTION OF CARBOHYDRAZIDE WITH GLYOXAL IN THE PRESENCE OF NICKEL NITRATE
Authors: Глухачева В.С. 
Published: July 2023

Представлены результаты исследований по взаимодействию карбогидразида с глиоксалем при подкислении реакционной массы нитратом никеля. В результате получить трициклический 2,3,4а,6,7,8а,9,10–октааза-4,8-диоксо-3,4,4a,7,8,8а, 9,9a,10,10а-декагидроантрацен или моноциклический 1,2,4,5,8,9,11,12-октаазациклотетрадека-5,7,12,14-тетраен-3,10-дион не удалось, основным продуктом реакции является новое комплексное соединение никеля, предположительно гекса(октаазадиоксодекагидроантрацен)никеля(II)динитрата*6Н2О. Строение лиганда координационного соединения подтверждено ИК- и ЯМР- спектроскопией, а содержание Ni определено атомно-эмиссионной спектроскопией.The results of studies on the interaction of carbohydrazide with glyoxal upon acidification of the reaction mass with nickel nitrate are presented. As a result, tricyclic 2,3,4a,6,7,8a,9,10-octaaza-4,8-dioxo-3,4,4a,7,8,8a, 9,9a,10,10a-decahydroanthracene or monocyclic 1,2,4,5,8,9,11,12-octaazacyclotetradeca-5,7,12,14-tetraene-3,10-dione failed, the main product of the reaction is a new nickel complex compound, presumably hexa(octaazadioxodecahydroanthracene )nickel(II) dinitrate*6H2O. The structure of the ligand of the coordination compound was confirmed by IR and NMR spectroscopy, and the content of Ni was determined by atomic emission spectroscopy.
Modelling of Air Passenger Transportation in Russia
Authors: Sushko O. P. 
Published: July 2023

The use of economic and mathematical methods of forecasting the results of activities of civil aviation organisations, and in particular assessment of the volume of air passenger traffic is quite relevant due to the importance of operational planning of air transport processes, development of strategic directions, technological and technical renewal of air enterprises.The objective of the study is to plan the traffic flow of air passengers using a regression model, considering the results of multifactorial selection of determinants, particularly distinguishing fundamental macro indicators are distinguished, as well as significant indicators of the aviation market.The study of passenger air transportation was carried out using methods of system analysis, methods of mathematical statistics and econometrics. Modelling of the process of passenger transportation has identified the main determinants that positively or negatively affect the dynamics of air passenger traffic. The multiple regression of the study of the processes of connectivity and synchronicity of changes in development of passenger traffic and selected macro indicators in a generalised form is the sum of vectors of influencing variables adjusted for the calculated coefficients.Six-, four- and three-factor regression models were developed. The three-factor model turned to be more reliable with values most close to actual data. Nevertheless, while applying regression model for forecasting air traffic it is necessary to consider not only theoretical aspects, data of official forecasts of macro indicators but expert opinions as well.
Awareness and Use of Stroke Rehabilitation Interventions in Clinical Practice Among Physiotherapists
Authors: McIntyre Amanda , Saikaley Marcus , Janzen Shannon , Cao Peiwen , Lala Deena , Teasell Robert , Viana Ricardo 
Published: July 2023

Purpose: This study collected data about the current awareness and use of stroke rehabilitation interventions among a Canadian sample of PTs as a foundational step towards future endeavours to inform the translation of rehabilitation research literature into practice. Method: Participants were recruited from health care centres providing stroke rehabilitation to patients in each of the 10 provinces across Canada. Physiotherapists who provided direct rehabilitative care to individuals after a stroke, were 18+ years old, and could read and write in English completed an electronic survey. Questions asked about therapists’ work setting, patient demographics, how they stay up-to-date, and their awareness and use of stroke rehabilitation interventions. Results: One hundred seventy five individuals (female = 82.9%) mainly from Ontario and Alberta (57.7%) were included. Therapists had high awareness and use of non-technological, peripherally-applied interventions (e.g., task-specific training, trunk training, overground walking). Except for mirror therapy and bilateral arm training, therapists had low or no awareness and use of brain priming interventions with or without a technological component. Conclusions: Therapists had low awareness and use of interventions which fall outside of standard education and training. This is an important area for future research on initiatives to increase knowledge translation and implementation into clinical practice.