bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nanoparticles of metals and their compounds in films and coatings: A review
Authors: Eremeeva Natalia 
Published: July 2023

Nanotechnology is important in food packaging because it increases shelf life, enhances food safety, and improves sensory characteristics and nutrient availability. We aimed to review scientific publications on the synthesis of nanoparticles, as well as their properties and applications in the food industry.
Research and review articles published from 2020 to 2022 were obtained from the database using the keywords “nanoparticles”, “film”, and “food”. They were on the synthesis of metal and metal oxide nanoparticles and their uses in food films and coatings.
We reviewed methods for synthesizing inorganic nanoparticles from metals and their compounds (silver, zinc, iron, etc.), as well as described their antimicrobial action against foodborne pathogens. By incorporating nanoparticles into films, we can create new materials with strong antimicrobial properties in vitro. Nanoparticles can be used to develop both polymer and biopolymer films, as well as their mixtures. Composite coatings can work synergistically with metal nanoparticles to create multifunctional food packaging systems that can act as compatibilizers. Particular attention was paid to metal nanoparticles in food coatings. We found that nanoparticles reduce the rate of microbial spoilage and inhibit lipid oxidation, thereby increasing the shelf life of raw materials and ready-to-eat foods. The safety of using nanoparticles in food coatings is an important concern. Therefore, we also considered the migration of nanoparticles from the coating into the food product.
Incorporating nanoparticles into polymer and biopolymer films can create new materials with antimicrobial properties against foodborne pathogens. Such composite films can effectively extend the shelf life of food products. However, the undesirable migration of metal ions into the food product may limit the use of such films.
The Business Model as a technique for problem identification and scoping: a case study of Brazilian drinking water quality assessment sector
Authors: de Souza Fernando Hymnô , Silva Fernando Lindo , McGoran Caroline , Rondon-Sulbaran Janeet , Byrne John Anthony , Brennan Michael , Sabogal-Paz Lyda Patricia 
Published: July 2023

Abstract
In this case study, a Business Model Canvas (BMC) was used as a technique for problem identification and scoping for the introduction of a new technology or methodology for water quality assessment. Therefore, information about the Brazilian water supply sector was used for the application of a BMC based on technological innovations for coliform analysis. The innovations proposed in the study include faster results, internet connection, and portability. To populate the model, data regarding the drinking water quality from Brazil were used from public data banks and reports. Also, a group of accountable representatives from diverse water supply systems and water quality laboratories reported their experience with the new coliform analysis and their perception of its technological improvement. The major gaps identified in this study were simplicity and faster results. These may be associated with technological improvements such as portability and internet connection. It was possible to conclude that the segment is diverse, and the BMC highlighted that value might differ for different niches. The results emphasized that the application of a BMC may be more than a business tool. It can also be used by developers or scientists to understand and improve both technology concepts and applications.
Role of LncRNAs in the Pathogenesis of Sepsis and their Clinical
Significance
Authors: Yang Yongpeng , Zhang Jianping , Xu Ruifeng , Wang Weikai , Wei Lin 
Published: July 2023

Abstract:
Sepsis is a fatal organ dysfunction caused by the host's uncontrolled
response to infection, with high morbidity and mortality. Early diagnosis and intervention
are the most effective methods to reduce the mortality due to sepsis. However, there is
still a lack of definite biomarkers or intervention targets for the diagnosis, evaluation,
prognosis, and treatment of sepsis. Long non-coding RNAs (lncRNAs) are a type of noncoding
transcript with a length ranging from 200 to 100,000 nucleotides. LncRNAs
mainly locate in the cytoplasm and nucleus and participate in various signaling pathways
related to inflammatory reactions and organ dysfunction. Recent studies have reported
that lncRNAs are involved in regulating the pathophysiological process of sepsis. Some
classical lncRNAs have been confirmed as promising biomarkers to evaluate the
severity and prognosis of sepsis. This review summarizes the mechanical studies on
lncRNAs in sepsis-induced acute lung, kidney, myocardial, and liver injuries, analyzes
the role of lncRNAs in the pathogenesis of sepsis, and explores the possibility of
lncRNAs as potential biomarkers and intervention targets for sepsis-induced multiple
organ dysfunction.
Chiral Azepines: In silico Potential in Cancer and Neurodegenerative Diseases, a Chemical Analysis
Authors: Rodríguez-Matsui Hisami , Aparicio-Solano David M. , Orea María L. , Carrasco-Carballo Alan , Terán Joel L. 
Published: July 2023

Background:
Chiral azepines are synthesized with remarkable diastereoselectivity, but their biological activity has not been investigated. However, benzazepines have demonstrated notable effects, particularly on the central nervous system (CNS) and infections. This characteristic attracts the interest of bioinformatic investigations in this new family, as their structural similarity can confirm their potential based on their kinship or discovering new options for biological potential.

Objective:
Possible interaction targets of previously synthesized chiral azepines are investigated. This study involves examining the interaction between these targets, conducting molecular docking analysis, ADME (administration, distribution, metabolism, excretion), and toxicology prediction to assess biological potential.

Methods:
Modeling 3D-optimized structural, virtual screening, molecular docking, ADME, and toxicological studies were performed.

Results:
Structural analysis demonstrated potential against neurodegenerative diseases and cancer. In Molecular docking against cancer, pathways dependent on MAP2K1 and COX-2 exhibited energetically superior inhibitors than reference drugs, namely azepines 1, 3, and 6. Additionally, azepines 1 and 8 exhibited selective impacts against GSK3 and HMG-CoA-Reductase, respectively. Azepine 6 demonstrated an effect on CNS vs. GSK3 and HMG-CoA-Reductase, as well as potential against Alzheimer's disease; however, with a lower energy level with subunit 33 GABA-receptor. ADMETx investigations indicated satisfactory results for azepines. However, the opening of the cycle results in adverse effects and increased bioaccumulation, indicating the importance of preserving the integrity of azepine to propose its biological effect.

Conclusion:
Chiral azepines exhibit significant biological potential, particularly azepine 6 with a methyl substituent, which demonstrates multitarget potential. In addition, p-nitro phenyl substituent makes it highly selective towards CNS diseases. These findings indicate a strong relationship between biological activity and the stability of chiral azepines.
Is there a Relationship between Vertical Facial Development and Nasal Cavity?
Authors: Sadry Sanaz , Somtürk Esra 
Published: July 2023

Background:
There are no studies investigating the relationship between cone beam computed tomography (CBCT) and nasal passage findings and vertical facial development. The aim of this study is to determine the relationship between nasal cavity anatomy and vertical development of patients.

Methods:
A total of 60 CBCTs were examined, and Class I malocclusion individuals were divided into two groups (30 each) according to vertical facial development. All nasal cavity findings were recorded in the study. Vertical facial development, nasal septum, nasal cavity width, thickness and angle were evaluated. Mann-Whitney U Test was used, and Student's t test was used for the comparison of two groups with normal distribution. Significance was evaluated at p<0.01 and p<0.05 levels.

Results:
Statistical analysis showed a relationship between vertical facial development and nasal cavity findings. Nasal septum deviation was mild to moderate in the hyperdivergent group, while septal deviation was absent in the hypodivergent group. A statistically significant difference was found in the width, distance (x-y) and angle of the nasal cavity from the hyperdivergent group in Class I vertical subgroups (p<0.05).

Conclusion:
When compared between low-angle and high-angle groups, statistically significant differences were observed in anterior face height, nasal passage angle, and distance between the outermost points of the nasal cavity.
Visual Prediction of the Progression of Spinocerebellar Ataxia Type 3
Based on Machine Learning
Authors: Ru Danlei , Li Jinchen , Peng Linliu , Jiang Hong , Qiu Rong 
Published: July 2023

Background:
Spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD) is a clinically
heterogeneous and progressive condition. Evaluation of its progression will contribute to clinical
management and genetic counseling.

Objective:
The objective of this study was to provide a visualized interpretable prediction of the progression
of SCA3/MJD based on machine learning (ML) methods.

Methods:
A total of 716 patients with SCA3/MJD were included in this study. The International Cooperative
Ataxia Rating Scale (ICARS) and Scale for the Assessment and Rating of Ataxia (SARA) scores
were used to quantitatively assess disease progression in the patients. Clinical and genotype information
were collected as factors for predicting progression. Prediction models were constructed with ML algorithms,
and the prediction results were then visualized to facilitate personalizing of clinical consultation.

Results:
The CAG repeat length of ATXN3 and its product with age, the duration of disease, and age
were identified as the 4 most important factors for predicting the severity and progression of
SCA3/MJD. The SVM-based model achieved the best performance in predicting the total ICARS and
SARA scores, with accuracy (10%) values of 0.7619 for the SARA and 0.7042 for the ICARS. To visualize
the predictions, line charts were used to show the expected progression over the next decade, and
radar charts were used to show the scores of each part of the ICARS and SARA separately.

Conclusion:
We are the first group to apply ML algorithms to predict progression in SCA3/MJD and
achieved desirable results. Visualization provided personalized predictions for each sample and can aid
in developing clinical counseling regimens in the future.
Advances in Research on Tool Wear Online Monitoring Method
Authors: Wu Xitong , Li Guohe , Shao Zhihua , Liu Weijun , Ma Ganzhong 
Published: July 2023

Background:
With the continued advancement of industrial internet technology, mechanical manufacturing is increasingly developing towards automation and intelligence. As a result, monitoring the manufacturing process has become an essential requirement for intelligent manufacturing. As one of the fundamental components of cutting processes, tools are inevitably subject to wear and damage during use. Therefore, tool wear monitoring plays a crucial role in modern manufacturing.

Introduction:
With the development of the manufacturing industry, the requirement for automation manufacturing is higher and higher. In the process of automatic processing, unmanned processing and adaptive processing, it is not only required to be able to know the accurate wear state of the tool in the process real-time but also required to change the milling parameters according to the wear state of the tool, in order to optimize the productivity and processing quality. The tool monitoring system can effectively reduce the operating cost of workshop production and improve the reliability of intelligent workshop and flexible production lines.

Method:
This article summarizes commonly used online monitoring methods mentioned by articles and patents, such as cutting force, vibration, acoustic emission, temperature, current, and power signals. Each monitoring method is analyzed in terms of its principles, advantages and disadvantages, signal acquisition equipment, and research status. The article also identifies current issues and future development directions.

Results:
As modern manufacturing technology continues to develop rapidly, unmanned factories have become a significant feature of the manufacturing industry. Consequently, the need for tool wear condition monitoring technology is becoming increasingly urgent. Although tool condition monitoring technology has made significant progress over the past twenty years and has been applied in actual production, several issues need to be addressed to make tool wear condition monitoring systems mo.

Conclusion:
This serves as a reference for theoretical research and application of online monitoring of tool wear in intelligent manufacturing systems.
Damping Characteristics Improvement of Wind-PV Hybrid System by
Coordinated Optimization of SVC-POD Controller Parameters
Authors: He Ping , Yang Hua , Ji Yuqi , Li Qiuyan , Yun Lei , Zhang Xiaowei 
Published: July 2023

Background:
With the increasing penetration of new energy resources such as wind
farms and photovoltaic power plants, there is concern about the stability of power systems.

Methods:
Aiming at the low-frequency oscillation issue of the wind-PV hybrid system, a coordinated
optimal design strategy based on Static Var Compensator (SVC) and Power Oscillation
Damping (POD) control is proposed. Modal analysis is used to locate the controller, then the
Whale Optimization Algorithm (WOA) is introduced to optimize the SVC-POD controller parameters.
To solve the wind-PV hybrid energy system's low frequency oscillation issues, the damping
ratio and angular velocity of the generator rotor are considered in the objective function.

Results:
Taking IEEE four-machine two-area system as an example, several working conditions
are designed, including changing the power of the contact line. The eigenvalue analysis and simulation
findings verify that the suggested proposed method can successfully raise the damping ratio of the system,
keep the generator speed stable, and restrain the occurrence of low-frequency oscillation.

Conclusion:
Simulation results demonstrate that this method efficiently suppresses the lowfrequency
oscillation and increases the robustness of the system.
Research on WSN Intelligent Routing Algorithm based on Bayesian
Learning and Particle Swarm Optimization
Authors: Jia Songhao , Yang Cai , Yang Jizheng , Zhang Haiyu , Chen Xing 
Published: July 2023

Background:
Wireless sensor networks have the characteristics of strong scalability,
easy maintenance, and self-organization, but the energy of nodes is limited and it is difficult to
replace the energy supply module. The survival time of the network has always been the key to
restricting the development of wireless sensor networks.

Objective:
Aiming at the problems of short network lifetime and low coverage, a multi-objective
optimization routing algorithm has been proposed, focusing on how to balance the communication
energy consumption of each node in the network and improve the coverage area of the remaining
nodes.

Method:
Firstly, the node region was divided into several fan ring subregions. Then, the particle
swarm optimization algorithm was used to find the fan angles and radii of each fan ring subregion.
Next, Bayesian learning was used to select the appropriate cluster head.

Results:
The simulation results showed the convergence speed of the proposed algorithm to be
improved, solving the problems of cluster head election and node routing planning, improving
the utilization of node energy, and verifying the effectiveness.

Conclusion:
The particle swarm optimization algorithm and Bayesian learning have been introduced
to cluster network nodes, and a multi-objective fitness function compatible with the energy
consumption and coverage of network nodes has been designed. By optimizing the selection
method of convergence nodes, the network communication cost of each node can be effectively
balanced, and the speed of network coverage area reduction can be effectively reduced in the
later period of node communication.
Pengaruh Model Pembelajaran Teams Games Tournament dan Disiplin Belajar Terhadap Hasil Belajar Siswa Kelas X SMAN 16 Kota Padang
Authors: Khoir Sobahul , Ramayani Citra , Amelia Mona 
Published: July 2023

This study aims to analyze the Influence of the Use of Team Games Tournament Models and Learning Disciplines on the Economic Learning Outcomes of Class X Students of SMAN 16 Padang City. Based on the analysis of data it is known that both classes of samples are usually distributed and homogeneous. The results of hypothesis testing through two-way ANOVA obtained the following results: 1) obtained a sig value of 0.011, this means that the sig value. less than the value a = 0.05 (sig. < ) then thus the H0 accepted Ha rejected, so it can be concluded that the learning outcomes of students taught using the teams games tournament method are higher than the classes taught using conventional learning methods (discovery learning). 2) the second hypothesis, obtained a sig value of 0.016, this means that the sig value. less than the value (a = 0.05 (sig.<) then thus the H accepted Ha rejected, So that it can be concluded that the learning outcomes of students taught using the teams games tournament method with higher learning discipline are higher than the classes taught using conventional learning methods (discovery learning) with learning discipline. 3) obtained a sig. value of 0.023, this means that the value of the sig. less than the value (a = 0.05 (sig.< ) then thus the Ho accepted Ha is rejected, so it can be concluded that students who have low learning discipline are taught with the teams games tournament model have high learning outcomes than the learning outcomes of students who have low learning discipline using a conventional learning model. 4) (discovery learning)) the third hypothesis is obtained sig level value = 0.401, this means that the value is a sig level value. = 0.843, this means that the value of the sig. greater than the value (α = 0.05 (sig. < α) then thus H0 rejected Ha accepted, so that there is no interaction of the learning model teams games tournament and learning discipline on student learning outcomesKeywords: Learning Outcomes, learning discipline, Model Teams Games Tournament, Discovery Learning
Teacher’s Beliefs On Using Youtube In Teaching English At Senior High School
Authors: Hasbi Aminah Fathezia , Suharni Suharni , Putri Dian Mega 
Published: July 2023

Penelitian ini bertujuan untuk mendeskripsikan kepercayaan guru dalam penggunaan Youtube sebagai media pembelajaran dalam mengajar Bahasa Inggris. Penelitian ini menggunakan pendekatan case study dengan jumlah 1 orang responden guru Bahasa Inggris yang mengajar menggunakan media youtube di SMAN 5 Sijunjung. Pengumpulan data dilakukan melalui observasi ceklis, catatan lapangan dan wawancara dalam bentuk semi-struktur. Hasil penelitian menunjukkan bahwa guru Bahasa Inggris di SMAN 5 Sijunjung memiliki kepercayaan direct transmission dalam penggunaan youtube sebagai media pembelajaran.
Corpo
Authors: De Brito Maria dos Remédios , Santos Costa Dhemersson Warly 
Published: July 2023

Há uma aposta nas travessias poéticas para pensar modos de criar e inventar a si mesmo, pois em um corpo nunca se chega em sua integralidade. A digressão perpassa pelo corpo atravessado pelos órgãos e por suas (des) organizações, enfrentamentos com a memória, com o que não podendo ser falado, mas experimentado por meio três exercícios poéticos: da escrita, do desenho e da colagem. Não se trata de pensar em cura, mas em um trabalho diário do corpo para consigo mesmo, que remete a escuta de si em suas variações, pois a arte abre a carne e o corpo se intensifica em sentidos e em vidas. A arte como uma espécie de clínica poética, por meios dos seus gestos criadores, o corpo do artista de refaz, diz de outro jeito, sim, a arte passa pelas entranhas do criador, embora não fique nela.
Licenciamento compulsório de medicamentos na pandemia de COVID-19: uma abordagem sob a ótica da Law and Economics
Authors: Gonçalves Oksandro Osdival , Oliveira Thiago Barcik Lucas de 
Published: July 2023

A pandemia da COVID-19 tem imposto diversas dificuldades à saúde e à economia mundial. Nesse sentido, o combate ao vírus assumiu protagonismo global e a descoberta de uma vacina e/ou remédios para o seu enfrentamento tem sido buscada pelas grandes empresas farmacêuticas, as quais, para além das causas humanas, perseguem uma posição de destaque no setor. Os altíssimos investimentos em novas tecnologias e em novas pesquisas se tornam viáveis especialmente pela segurança e exclusividade de exploração econômica que o sistema de patentes garante ao titular da invenção. Contudo, o ramo farmacêutico pode ser regido por outras máximas, na medida em que, visando a necessidade de garantir a maximização do acesso à medicamentos e ao Direito à Saúde, pode ocorrer a flexibilização do sistema pantentário através do licenciamento compulsório. Assim, através do método de abordagem dialético, e sob os preceitos da Análise Econômica do Direito, pretende-se compreender e examinar o embate existente entre o direito de propriedade, que decorre do registro de patente de medicamento e a sua exploração, e o interesse social de disponibilização de medicamentos essenciais. Igualmente, se valendo da teoria de Joseph Alois Schumpeter, pretende-se investigar os impactos que estes institutos podem gerar economicamente, influenciando negativa ou positivamente o desenvolvimento econômico.
Mineralogical Analysis of Iron Ore Using Ultrasonic Wave Propagation Parameters
Authors: Morkun Natalia , Fischerauer Gerhard , Tron Vitalii , Gaponenko Alona 
Published: July 2023

Abstract
Availability, relative simplicity and low cost, combined with ever-increasing capabilities, have led to a significant increase in the use of ultrasonic measurements of mining process variables in recent times. The scope of application varies from the study of the characteristics of raw materials and products of its processing to the operational assessment of the current parameters characterising the state of the process equipment. The purpose of this study is to develop methods for obtaining information about the characteristics of mineral raw materials as a result of ultrasonic logging of wells in a rock mass. The proposed approach makes it possible to improve the quality of information support for the management of technological processes of mining and processing of ore and thereby improve the quality of products supplied to the metallurgical stage and reduce overall production costs.