bluuebunny/crossref_metadata_2025 huggingface dataset:
A Cost/Benefit and Flexibility Evaluation Framework for Additive Technologies in Strategic Factory Planning
Authors: Luft Angela , Bremen Sebastian , Luft Nils
Published: June 2023

There is a growing demand for more flexibility in manufacturing to counter the volatility and unpredictability of the markets and provide more individualization for customers. However, the design and implementation of flexibility within manufacturing systems are costly and only economically viable if applicable to actual demand fluctuations. To this end, companies are considering additive manufacturing (AM) to make production more flexible. This paper develops a conceptual model for the impact quantification of AM on volume and mix flexibility within production systems in the early stages of the factory-planning process. Together with the model, an application guideline is presented to help planners with the flexibility quantification and the factory design process. Following the development of the model and guideline, a case study is presented to indicate the potential impact additive technologies can have on manufacturing flexibility Within the case study, various scenarios with different production system configurations and production programs are analyzed, and the impact of the additive technologies on volume and mix flexibility is calculated. This work will allow factory planners to determine the potential impacts of AM on manufacturing flexibility in an early planning stage and design their production systems accordingly.
Vibration Scale Model of a Converter Transformer Based on the Finite Element and Similarity Principle and Its Preparation
Authors: Wang Hao , Zhang Li , Sun Youliang , Zou Liang
Published: June 2023

A similarity criterion suitable for studying the vibration characteristics of converter transformers is proposed based on comprehensive consideration of geometric dimensions, electric field, magnetic field, force field, sound field, and coupling field interface interactions. By comparing the magnetic field, stress, displacement, sound field distribution, and vibration characteristics of the scale model of the converter transformer with the initial model, the reliability of the similarity criterion was determined. Based on the vibration similarity criterion of the converter transformer, a prototype of the proportional model was designed and manufactured, and vibration signals under no-load and load conditions were tested. These signals correspond to the vibration signals of the iron core and winding in the finite element model, respectively. Through comparative analysis, the reliability of the prototype and the vibration similarity model of the converter transformer has been proven, which can provide an accurate and effective laboratory research platform for in-depth research on the vibration and noise of the converter transformer and equipment protection.
Development of an MCTS Model for Hydrogen Production Optimisation
Authors: Komasilovs Vitalijs , Zacepins Aleksejs , Kviesis Armands , Ozols Kaspars , Nikulins Arturs , Sudars Kaspars
Published: June 2023

Hydrogen has the potential to revolutionize the energy industry due to its clean-burning and versatile properties. It is the most abundant element in the universe and can be produced through a variety of methods, including electrolysis. The widespread adoption of hydrogen faces various challenges, including the high cost of production; thus, it is important to optimise the production processes. This research focuses on development of models for hydrogen production optimisation based on various external factors and parameters. Models based on electricity prices are developed and compared between different market situations. To run hydrogen production more effectively, it is required to use renewable energy sources for the production process. Adding the solar power component to the economic evaluation model outcome is more positive. The Monte Carlo tree search (MCTS) algorithm is adapted to effectively control the electrolysis process. MCTS schedule optimization was performed for a 24 h time horizon applying two time-resolution settings—1 h and 15 min. The results demonstrate the potential of the MCTS algorithm for finding good schedules for water electrolyser devices by taking into account variable environmental factors. Whereas the MCTS with a 15 min resolution ensures mathematically better results, it requires more computational power to solve the decision tree.
Optimization of Cellulase-Assisted Extraction of Total Flavonoids from Equisetum via Response Surface Methodology Based on Antioxidant Activity
Authors: Yin Hongmei , Zhang Yuanli , Hu Tingting , Li Wen , Deng Yang , Wang Xun , Tang Huaqiao , Zhao Ling , Yan Guangwen
Published: June 2023

Flavonoids are one of the most essential compounds in various plants. This study used the cellulase-assisted method to extract flavonoid-enriched antioxidants from Equisetum arvense L. (EAL). According to a three-factor and three-level central composite design, the response surface methodology was used to obtain the maximum total flavonoid yield, thereby providing the most potent antioxidant activity of EAL extracts. The results indicated that the optimal condition for the total flavonoid extraction was 0.52% (base substrate) enzyme concentration and enzymolysis for 50.58 min at 49.03 °C. The extraction rate of flavonoids from horsetail reached 4.88 mg/g under these optimal conditions. The yield was 51.23% higher than that from the traditional solid–liquid extraction method. The highest DPPH-scavenging ability of the extracts obtained under 0.50% enzyme concentration and enzymolysis for 49.41 min at 46.59 °C was 77.36%. HPLC results revealed that the antioxidant substances had diverse flavonoids. Thus, the extraction condition was consistent for antioxidant activity and total flavonoids. Therefore, the current study provided an efficient method to extract flavonoid compounds from EAL, facilitating technical support for utilizing the plant.
A Quantitative Examination of the Efficiency of a Biogas-Based Cooling System in Rural Regions
Authors: Saka Kenan
Published: June 2023

This study investigates the efficiency of a biogas-powered cooling system through the utilization of energy and exergy calculations. Biogas, which can be generated and stored in small-scale plants as needed, serves as a viable fuel source for absorption cooling systems. The present research focuses on the biogas consumption of a triple-effect absorption cooling system specifically designed to supply a fixed cooling load of 100 kW under varying operational conditions. This study highlights the coefficient of performance and exergetic coefficient of performance values of the system, along with the exergy destruction rates of its individual components, at the optimal temperatures of operation. Furthermore, to determine necessary biogas consumption, this study explores the establishment of dedicated farms for various animal species, ensuring an adequate number of animals for biogas production. The findings reveal a coefficient of performance of 1.78 and an exergetic coefficient of performance of 35.4% at the optimized operating temperatures. The minimum mass flow rate of biogas is determined to be 0.0034 kgs−1, facilitating the operation of the boiler with a methane content of 65%. This study concludes that a total of 290 head of cattle is required to generate the annual biogas consumption necessary for the cooling system. Additionally, the number of the cattle is enough to establish 284 biogas plants in Bursa Province in Türkiye.
Special Issue on Network Pharmacology Modeling for Drug Discovery
Authors: Tang Jing
Published: June 2023

During the process of drug discovery, many compounds have exhibited polypharmacological interactions with various biological entities [...]
Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis
Authors: Kontaxis Spyridon , Laporta Estela , Garcia Esther , Martinis Matteo , Leocani Letizia , Roselli Lucia , Buron Mathias Due , Guerrero Ana Isabel , Zabala Ana , Cummins Nicholas , Vairavan Srinivasan , Hotopf Matthew , Dobson Richard J. B. , Narayan Vaibhav A. , La Porta Maria Libera , Costa Gloria Dalla , Magyari Melinda , Sørensen Per Soelberg , Nos Carlos , Bailon Raquel , Comi Giancarlo ,   on behalf of the RADAR-CNS Consortium
Published: June 2023

The aim of this study was to investigate the feasibility of automatically assessing the 2-Minute Walk Distance (2MWD) for monitoring people with multiple sclerosis (pwMS). For 154 pwMS, MS-related clinical outcomes as well as the 2MWDs as evaluated by clinicians and derived from accelerometer data were collected from a total of 323 periodic clinical visits. Accelerometer data from a wearable device during 100 home-based 2MWD assessments were also acquired. The error in estimating the 2MWD was validated for walk tests performed at hospital, and then the correlation (r) between clinical outcomes and home-based 2MWD assessments was evaluated. Robust performance in estimating the 2MWD from the wearable device was obtained, yielding an error of less than 10% in about two-thirds of clinical visits. Correlation analysis showed that there is a strong association between the actual and the estimated 2MWD obtained either at hospital (r = 0.71) or at home (r = 0.58). Furthermore, the estimated 2MWD exhibits moderate-to-strong correlation with various MS-related clinical outcomes, including disability and fatigue severity scores. Automatic assessment of the 2MWD in pwMS is feasible with the usage of a consumer-friendly wearable device in clinical and non-clinical settings. Wearable devices can also enhance the assessment of MS-related clinical outcomes.
FedADT: An Adaptive Method Based on Derivative Term for Federated Learning
Authors: Gao Huimin , Wu Qingtao , Zhao Xuhui , Zhu Junlong , Zhang Mingchuan
Published: June 2023

Federated learning is served as a novel distributed training framework that enables multiple clients of the internet of things to collaboratively train a global model while the data remains local. However, the implement of federated learning faces many problems in practice, such as the large number of training for convergence due to the size of model and the lack of adaptivity by the stochastic gradient-based update at the client side. Meanwhile, it is sensitive to noise during the optimization process that can affect the performance of the final model. For these reasons, we propose Federated Adaptive learning based on Derivative Term, called FedADT in this paper, which incorporates adaptive step size and difference of gradient in the update of local model. To further reduce the influence of noise on the derivative term that is estimated by difference of gradient, we use moving average decay on the derivative term. Moreover, we analyze the convergence performance of the proposed algorithm for non-convex objective function, i.e., the convergence rate of 1/nT can be achieved by choosing appropriate hyper-parameters, where n is the number of clients and T is the number of iterations, respectively. Finally, various experiments for the image classification task are conducted by training widely used convolutional neural network on MNIST and Fashion MNIST datasets to verify the effectiveness of FedADT. In addition, the receiver operating characteristic curve is used to display the result of the proposed algorithm by predicting the categories of clothing on the Fashion MNIST dataset.
Quality-Related Process Monitoring and Diagnosis of Hot-Rolled Strip Based on Weighted Statistical Feature KPLS
Authors: Guo Hesong , Sun Jianliang , Yang Junhui , Peng Yan
Published: June 2023

Rolling is the main process in steel production. There are some problems in the rolling process, such as insufficient ability of abnormal detection and evaluation, low accuracy of process monitoring, and fault diagnosis. To improve the accuracy of quality-related fault diagnosis, this paper proposes a quality-related process monitoring and diagnosis method for hot-rolled strip based on weighted statistical feature KPLS. Firstly, the process-monitoring and diagnosis model of strip thickness and quality based on the KPLS method is introduced. Then, considering that the KPLS diagnosis method ignores the contribution of process variables to quality, it is easy to misjudge the root cause of quality in the diagnosis process. Based on the rolling mechanism model, the influence weight of strip thickness is constructed. By weighing the statistical data features, a quality diagnosis framework of series structure data fusion is constructed. Finally, the method is applied to the 1580 mm hot-rolling process for industrial verification. The verification results show that the proposed method has higher diagnostic accuracy than PLS, KPLS, and other methods. The results show that the diagnostic model based on weighted statistical feature KPLS has a diagnostic accuracy of more than 96% for strip thickness and quality-related faults.
Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture
Authors: Fereira Rolden , Ranaweera Chathurika , Lee Kevin , Schneider Jean-Guy
Published: June 2023

Internet of Things (IoT) architectures generally focus on providing consistent performance and reliable communications. The convergence of IoT, edge, fog, and cloud aims to improve the quality of service of applications, which does not typically emphasize energy efficiency. Considering energy in IoT architectures would reduce the energy impact from billions of IoT devices. The research presented in this paper proposes an optimization framework that considers energy consumption of nodes when selecting a node for processing an IoT request in edge-fog-cloud layered architecture. The IoT use cases considered in this paper include smart grid, autonomous vehicles, and eHealth. The proposed framework is evaluated using CPLEX simulations. The results provide insights into mechanisms that can be used to select nodes energy-efficiently whilst meeting the application requirements and other network constraints in multi-layered IoT architectures.
Energy Criticality Avoidance-Based Delay Minimization Ant Colony Algorithm for Task Assignment in Mobile-Server-Assisted Mobile Edge Computing
Authors: Huang Xiaoyao , Lei Bo , Ji Guoliang , Zhang Baoxian
Published: June 2023

Mobile edge computing has been an important computing paradigm for providing delay-sensitive and computation-intensive services to mobile users. In this paper, we study the problem of the joint optimization of task assignment and energy management in a mobile-server-assisted edge computing network, where mobile servers can provide assisted task offloading services on behalf of the fixed servers at the network edge. The design objective is to minimize the system delay. As far as we know, our paper presents the first work that improves the quality of service of the whole system from a long-term aspect by prolonging the operational time of assisted mobile servers. We formulate the system delay minimization problem as a mixed-integer programming (MIP) problem. Due to the NP-hardness of this problem, we propose a dynamic energy criticality avoidance-based delay minimization ant colony algorithm (EACO), which strives for a balance between delay minimization for offloaded tasks and operational time maximization for mobile servers. We present a detailed algorithm design and deduce its computational complexity. We conduct extensive simulations, and the results demonstrate the high performance of the proposed algorithm compared to the benchmark algorithms.
The Effects of a Simple Sensor Reorientation Procedure on Peak Tibial Accelerations during Running and Correlations with Ground Reaction Forces
Authors: Bradach Molly M. , Gaudette Logan W. , Tenforde Adam S. , Outerleys Jereme , de Souza Júnior José R. , Johnson Caleb D.
Published: June 2023

While some studies have found strong correlations between peak tibial accelerations (TAs) and early stance ground reaction forces (GRFs) during running, others have reported inconsistent results. One potential explanation for this is the lack of a standard orientation for the sensors used to collect TAs. Therefore, our aim was to test the effects of an established sensor reorientation method on peak Tas and their correlations with GRFs. Twenty-eight runners had TA and GRF data collected while they ran at a self-selected speed on an instrumented treadmill. Tibial accelerations were reoriented to a body-fixed frame using a simple calibration trial involving quiet standing and kicking. The results showed significant differences between raw and reoriented peak TAs (p < 0.01) for all directions except for the posterior (p = 0.48). The medial and lateral peaks were higher (+0.9–1.3 g), while the vertical and anterior were lower (−0.5–1.6 g) for reoriented vs. raw accelerations. Correlations with GRF measures were generally higher for reoriented TAs, although these differences were fairly small (Δr2 = 0.04–0.07) except for lateral peaks (Δr2 = 0.18). While contingent on the position of the IMU on the tibia used in our study, our results first showed systematic differences between reoriented and raw peak accelerations. However, we did not find major improvements in correlations with GRF measures for the reorientation method. This method may still hold promise for further investigation and development, given that consistent increases in correlations were found.
Economic and Spatial Restructuring in the Aras Economic Zone: The Impact of Cross-Border Cooperation
Authors: Jafarzadeh Hamid , Feng Yangdong
Published: June 2023

Cross-border cooperation is critical for regional development capabilities. China and Iran are increasingly strengthening their partnership with the Belt and Road Initiative. This study constructs a regional socio-spatial development index system from the perspective of locals and establishes a DPSIR model with five layers: drivers, pressures, states, impacts, and responses. Bottom-up regional analyses (economic, social, and spatial) were performed to explore local perspectives on cross-border cooperation and assess the possible value system of development in a specific region. Based on 41 quantitative indicators and a genetic algorithm, causal links between economic changes and spatial restructuring were determined and verified. The findings show that cross-border cooperative growth is possible in the research region. Due to regional heterogeneity, excessive pressure on states, and evolving imbalances, we found imbalanced development inside and between sections. Additionally, foreign direct investment enhances cross-border cooperation, which can preserve and develop local economies. Additionally, this study provides suggestions and references for cross-border cooperation opportunities, challenges, and decision-making.
Can the Digital Economy Enable Carbon Emission Reduction: Analysis of Mechanisms and China’s Experience
Authors: Wang Congqi , Zhang Rui , Ibrahim Haslindar , Liu Pengzhen
Published: June 2023

With the continuous advancement of global scientific and technological capabilities, the issue of global warming caused by greenhouse gas emissions has received widespread attention from countries worldwide. Promoting carbon reduction and curbing the trend of global warming have become urgent and significant challenges for China and the world. Therefore, it is of great practical significance to explore the impact and mechanism of the digital economy on carbon reduction. This paper empirically analyzes the impact and means of the digital economy on carbon emissions using panel regression models and mediation effect models. The research indicates that the digital economy significantly impacts carbon emissions, and the following main conclusions are drawn: (1) The influence of the digital economy on carbon intensity exhibits an inverted U-shaped curve, starting with promotion and then inhibition. (2) The digital economy can affect carbon emissions through industrial structural upgrading and technological innovation. (3) Regions with a relatively high level of digital economy development also tend to have higher energy utilization efficiency, leading to a more pronounced impact of the digital economy on carbon emissions levels.
Heyting Locally Small Spaces and Esakia Duality
Authors: Piękosz Artur
Published: June 2023

We develop the theory of Heyting locally small spaces, including Stone-like dualities such as a new version of Esakia duality and a system of concrete isomorphisms and equivalences. In such a way, we continue building tame topology, realising Grothendieck’s ideas. We use up-spectral spaces and define the standard up-spectralification of a Kolmogorov locally small space. This research gives more understanding of locally definable spaces over structures with topologies.
AB5-Type Toxin as a Pentameric Scaffold in Recombinant Vaccines against the Japanese Encephalitis Virus
Authors: Ahn Jina , Yu Ji Eun , Kim Hanna , Sung Jemin , Han Gyoonhee , Sohn Myung Hyun , Seong Baik-Lin
Published: June 2023

Japanese encephalitis virus (JEV) is an enveloped icosahedral capsid virus with a prime neutralizing epitope present in E protein domain III (EDIII). E dimers are rearranged into a five-fold symmetry of icosahedrons. Cholera toxin B (CTB) and heat-labile enterotoxin B (LTB) of AB5-type toxin was used as the structural scaffold for emulating the pentameric axis of EDIII. We produced homo-pentameric EDIII through the genetic fusion of LTB or CTB in E. coli without recourse to additional refolding steps. Harnessing an RNA-mediated chaperone further enhanced the soluble expression and pentameric assembly of the chimeric antigen. The pentameric assembly was validated by size exclusion chromatography (SEC), non-reduced gel analysis, and a GM1 binding assay. CTB/LTB−EDIII chimeric antigen triggered high neutralizing antibodies against the JEV Nakayama strain after immunization in mice. Altogether, our proof-of-principle study creating a JEV-protective antigen via fusion with an AB5-type toxin as both a pentameric scaffold and a built-in adjuvant posits the bacterially produced recombinant chimeric antigen as a cost-effective alternative to conventional inactivated vaccines against JEV.
Proceedings of the Online Conference “Vaccines and Vaccination during and Post COVID Pandemics” (7–9 December 2022)
Authors: Sokolovska Liba , Isaguliants Maria , Buonaguro Franco M.
Published: June 2023

The COVID-19 pandemic put focus on various aspects of vaccine research and development. These include mass vaccination strategies, vaccination compliance and hesitancy, acceptance of novel vaccine approaches, preclinical and animal models used to assess vaccine safety and efficacy, and many other related issues. These issues were addressed by the international online conference “Vaccines and Vaccination During and Post COVID Pandemics” (VAC&VAC 2022) held on the platform of Riga Stradins University, Riga, Latvia. Conference was supported by the International Society for Vaccines, the National Cancer Institute “Fondazione Pascale” (Naples, Italy), and the scientific journal VACCINES (mdpi). VAC&VAC 2022 attracted nearly 150 participants from 14 countries. This report summarizes conference presentations and their discussion. Sessions covered the topics of (1) COVID-19 vaccine development, evaluation, and attitude towards these vaccines, (2) HPV and cancer vaccines, (3) progress and challenges of HIV vaccine development, (4) new and re-emerging infectious threats, and (5) novel vaccine vehicles, adjuvants, and carriers. Each session was introduced by a plenary lecture from renowned experts from leading research institutions worldwide. The conference also included sessions on research funding and grant writing and an early career researcher contest in which the winners received monetary awards and a chance to publish their results free of charge in the special issue of VACCINES covering the meeting.
Comparison of the Disease Severity and Outcome of Vaccinated COVID-19 Patients with Unvaccinated Patients in a Specialized COVID-19 Facility: A Retrospective Cohort Study from Karachi, Pakistan
Authors: Sayeed Muneeba Ahsan , Shalim Elisha , Farooqui Fizza , Farman Shaiza , Khan Maheen , Iqbal Anika , Ahmed Ishfaque , Rajput Abdul Wahid , Razzaque Abdul , Quraishy Saeed
Published: June 2023

We compared the clinical characteristics and outcome of vaccinated hospitalized COVID-19 patients with unvaccinated hospitalized COVID-19 patients. A retrospective cohort study was conducted at the Sindh Infectious Diseases Hospital and Research Center, Karachi, Pakistan. A total of 1407 hospitalized COVID-19 positive patients were included from April 2021 to March 2022, of which 812 (57.71%) were males. Of the 1407, 378 (26.87%) patients were vaccinated while 1029 (73.13%) were unvaccinated. Of the vaccinated patients, 160 (42.32%) were partially vaccinated while 218 (57.68%) were fully vaccinated (vaccine breakthrough infection). Fewer unvaccinated COVID-19 patients survived compared to vaccinated patients (62.5% vs. 70%, RR 0.89, 95% CI: 0.82–0.96, p-value = 0.004). Despite there being more vaccinated patients above 60 years of age (60.05% vs. 47.13%), their risk of mortality was lower by 43% (OR = 0.578; CI = 0.4201 to 0.7980, p = 0.0009). On survival analysis, vaccinated patients had better 30-day survival compared to unvaccinated patients (p = 0.028). Moreover, comparing waves 3–5, unvaccinated patients of wave 4, which was driven by the delta variant, had the worst survival (51.8%, p ≤ 0.001) while vaccinated patients of wave 3 (driven by the alpha variant) had the best survival (71.6%).
The End or a New Era of Development of SARS-CoV-2 Virus: Genetic Variants Responsible for Severe COVID-19 and Clinical Efficacy of the Most Commonly Used Vaccines in Clinical Practice
Authors: Miteva Dimitrina , Kitanova Meglena , Batselova Hristiana , Lazova Snezhina , Chervenkov Lyubomir , Peshevska-Sekulovska Monika , Sekulovski Metodija , Gulinac Milena , Vasilev Georgi V. , Tomov Luchesar , Velikova Tsvetelina
Published: June 2023

Although the chief of the World Health Organization (WHO) has declared the end of the coronavirus disease 2019 (COVID-19) as a global health emergency, the disease is still a global threat. To be able to manage such pandemics in the future, it is necessary to develop proper strategies and opportunities to protect human life. The data on the SARS-CoV-2 virus must be continuously analyzed, and the possibilities of mutation and the emergence of new, more infectious variants must be anticipated, as well as the options of using different preventive and therapeutic techniques. This is because the fast development of severe acute coronavirus 2 syndrome (SARS-CoV-2) variants of concern have posed a significant problem for COVID-19 pandemic control using the presently available vaccinations. This review summarizes data on the SARS-CoV-2 variants that are responsible for severe COVID-19 and the clinical efficacy of the most commonly used vaccines in clinical practice. The consequences after the disease (long COVID or post-COVID conditions) continue to be the subject of studies and research, and affect social and economic life worldwide.
Fluctuación poblacional de Chaetanaphothrips signipennis en Musa sp frente al depredador Amblyseius swirskii
Authors: Barrezueta-Unda Salomon Alejandro , Cabezas Zhumi Bryan Leonardo
Published: June 2023

La principal plaga que afecta a los frutos del banano es Chaetanaphothrips signipennis (Thysanoptera: Thripidae),  conocido como el trips de la mancha roja del banano. Una forma de control es mediante el control biológico con el ácaro depredador Amblyseius swirskii. En este contexto, el objetivo del trabajo fue comparar la fluctuación poblacional de C. signipennis, y después de introducir A. swirskii  en el cultivo de banano. Para esto, en una bananera se aplicó en todo el área cultivada 250 ácaros por cada racimo recién embolsado, luego se delimitó tres parcelas donde se tomó planta al azar para contabilizar los adultos de C. Signipennis y  A. swirskii  durante 12 semanas. Las observaciones fueron entre los bordes de las hojas y los márgenes interiores del pseudotallo. La suma de las poblaciones por semana fueron muy heterogéneas.  La suma total de C. signipennis fue de 1147 trips, inferior al registro de  A. swirskii de 4860 ácaros. Las poblaciones de C. Signipennis se redujo desde la segunda semana, pero se volvió a incrementar en la semana 11,   a diferencia de A. Swirskii  que se incrementa cada dos semanas. La distribución poblacional de C. Signipennis en los tres tramos que se dividieron las parcelas fue agregada, concentrando la mayor población entre el centro y el final de las parcelas. Distribución diferente en A. Swirskii que mostró una distribución homogénea en las parcelas.
Comparison of radio propagation models in five LTE coverage cells in Riobamba
Authors: Córdova Allison Lilibeth Proaño , Bayas Carlos , Escobar Nicolás , Infante Adrian , Vique Brayan
Published: June 2023

This article makes a comparative analysis of the power intensity levels measured with the Network Cell Info Lite application and the performance of the different Log-Normal, Okumura Hata, COST 231, Wolfish Bertoni and SUI propagation models in the Frequency Band 4G LTE. The study was carried out in 5 LTE coverage cells located in the southern area of ​​the City of Riobamba and the model that best fits each cell is limited using absolute error analysis, obtaining an empirical correction factor for the proposed models. For the analysis of the absolute error, 3 measurement campaigns were carried out with 50 samples where the mean value was obtained. The analysis carried out will be suspended because the Log-Normal model is the one that best fits the Riobamba environment considering that it is a residential area, and that the power levels vary from (-80 dBm to -106 dBm) and that the coverage areas were determined up to 200m.
\(h\)-strongly \(E\)-convex functions
Authors: Marian Daniela
Published: June 2023

Starting from strongly \(E\)-convex functions introduced by E. A. Youness, and T. Emam, from \(h\)-convex functionsintroduced by S. Varošanec and from the more general conceptof \(h\)-convex functions introduced by A. Házy we define and study \(h\)-strongly \(E\)-convex functions. We study some properties of them.
PENGARUH PENDIDIKAN DAN PELATIHAN TERHADAP KINERJA GURU DI SEKOLAH MENENGAH KEJURUAN
Authors: Wijaya Clara Ovie , Yulianti Dwi , Herpratiwi Herpratiwi
Published: June 2023

Suatu hal perlu dilaksanakan dalam memberikan peningkatan standar pendidik, dibidang pendidikan ialah dengan meningkatkan kinerja tenaga kerja atau guru. Setiap aktivitas yang melibatkan tanggung jawab atau berguna di tempat kerja memenuhi syarat sebagai pelatihan. Pelatihan ini diharapkan dapat membantu para guru mengembangkan hard skill dan soft skill mereka. Pendidikan dan pelatihan diperlukan bagi instruktur di sekolah menengah kejuruan untuk bekerja lebih baik dan menjadi lebih kompeten. Hasil penelitian memperlihatkan bahwasannya hasil kerja pendidik memperoleh pengaruh yang signifikan dari pendidikan serta pelatihan
GAMBARAN PENGETAHUAN KESEHATAN GIGI DAN MULUT DAN PERILAKU MEROKOK SISWA KELAS XII TEKNIK MESIN SMKN 1 KATAPANG KABUPATEN BANDUNG TAHUN 2022
Authors: Nurunnisa Shabrina , Octaviana Devy , Widyastuti Tri , Praptiwi Yenni Hendriani
Published: June 2023

Kebiasaan merokok merupakan salah satu pencetus timbulnya gangguan penyakit rongga mulut serta berpengaruhnya terhadap estetika, antara lain dapat mengakibatkan perubahan warna gigi, penebalan mukosa, gingivitis, bahkan penyakit kanker mulut. Kandungan rokok yang berupa tembakau, nikotin, karbon monoksida, ammonia, dan derivat-derivat lainnya dapat mengiritasi rongga mulut saat dikonsumsi karena adanya pembakaran. Data Riset Riskesdas 2010, persentase usia mulai merokok di Indonesia terbesar yaitu pada usia 15-19 tahun (43,4%). Data tersebut menunjukkan bahwa masyarakat Indonesia paling banyak mulai merokok pada usia remaja. Tujuan penelitian ini adalah untuk diketahuinya gambaran pengetahuan kesehatan gigi dan mulut dan perilaku merokok pada siswa kelas XII Teknik Mesin SMKN 1 Katapang. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan survey. Pengambilan sampel penelitian ini dilakukan dengan total sampling. Cara kerja penelitian ini dengan pemberian kuesioner kepada responden. Hasil penelitian ini menunjukkan subjek sebanyak 68 siswa dimana 47 siswa merokok dan 21 siswa tidak merokok. Dan pada pengetahuan kesehatan gigi dan mulut pengetahuan baik sebanyak 10 siswa (14,07%),subjek yang memiliki pengetahuan sedang sebanyak 25 siswa (38,8%), dan subjek yang memiliki pengetahuan kurang sebanyak 33 siswa (48,5%).  Dan untuk pengetahuan kesehatan gigi dan mulut dan perilaku merokok sebanyak 26 siswa yang merokok dengan pengetahuan kurang. Disimpulkan bahwa perilaku yang merokokmemiliki pengetahuan dengan kategori kurang mengenai kesehatan gigi dan mulut.
HUBUNGAN KEBIASAAN MENYIKAT GIGI PADA ANAK KELAS V DENGAN PENYAKIT GINGIVITIS DI SEKOLAH DASAR
Authors: Rahmat Irfan Nur Fajri , Herijulianti Eliza , Utami Ulfah , Octaviana Devy
Published: June 2023

Penyakit gigi dan mulut yang banyak ditemukan pada anak selain karies ialah peradangan gingiva (gingivitis). Tingginya prevalensi gingivitis di Indonesia disebabkan karena masyarakat belum menerapkan kebiasaan yang baik dan efektif dalam menyikat gigi. Penelitian ini bertujuan untuk mengetahui kebiasaan menyikat gigi, frekuensi siswa yang mengalami gingivitis dan hubungan menyikat gigi terhadap gingivitis. Penelitian ini dilakukan pada siswa kelas v di Sekolah Dasar Kalanganyar 1 di Kecamatan Labuan – Pandeglang, Banten. Pada bulan April-Mei 2022. Penelitian ini menggunakan jenis penelitian cross sectional dan metode analitik kuantitatif dengan sampel berjumlah 47 responden. Hasil penelitian menunjukkan bahwa sebanyak 39 responden (83%) memiliki kriteria kurang baik dalam kebiasaan menyikat gigi, siswa yang mengalami gingivitis sebanyak 32 responden (68,1%) dan terdapat hubungan kebiasaan menyikat gigi dengan kejadian gingivitis berdasarkan uji Fisher Exact yaitu (P - value = 0.009 < 0.05). Kesimpulan hubungan kebiasaan menyikat gigi pada anak kelas v dengan penyakit gingivitis di sekolah dasar Kalanganyar 1 Kecamatan Labuan Tahun 2022 yaitu terdapat hubungan antara kebiasaan menyikat gigi dengan kejadian gingivitis.
Pengaruh Penyuluhan Modifikasi Video Terhadap Tingkat Pengetahuan Pentingnya Menjaga Kesehatan Gigi Dan Mulut Dalam Pencegahan Karies
Authors: Fitriani Sania , Restuning Sekar , Mulyanti Sri , Herijulianti Eliza
Published: June 2023

ABSTRAK

Kesehatan gigi dan mulut merupakan bagian dari kesehatan tubuh dan mempengaruhi kesehatan tubuh secara keseluruhan dan tidak dapat dipisahkan. Sekitar 80% penduduk Indonesia menderita kerusakan gigi karena berbagai alasan. Siswa Sekolah Menengah Atas (SMA) umumnya pada rentan usia antara 15 hingga 19 tahun dan beberapa masih remaja. Masa remaja ialah masa transisi perkembangan antara anak ke dewasa, dengan perubahan keadaan fisik, kognitif, dan psikologis sosial. Siswa SMA berada pada tahap perkembangan kognitif operasional formal. Penelitian menggunakan media modifikasi video mengenai menjaga kesehatan gigi dan mulut. Tujuan mengetahui tingkat pengetahuan pentingnya menjaga kesehatan gigi dan mulut dalam pencegahan karies melalui modifikasi video tentang pentingnya menjaga kesehatan gigi dan mulut di MAN 4 Sukabumi. Penelitian ini mengunakan jenis penelitian analitik dengan desain penelitian quasi eksperimen (eksperimen semu). sampel diambil menggunakan total sampling dengan jumlah 151 orang. Analisa penelitian menggunakan uji Wilcoxon. Hasil penelitian didapatkan hasil nilai rata-rata pretest yaitu 8,38, hasil nilai rata-rata posttest yaitu 8,92 dan selisih yaitu sebesar 0,54, dengan nilai p value = 0.000 ≤ 0.05 yang berarti ada pengaruh media modifikasi video terhadap peningkatan pengetahuan. Disimpulkan bahwa adanya peningkatan pengetahuan siswa kelas X di MAN 4 Sukabumi dalam menjaga kesehatan gigi siswa MAN 4 Sukabumi. Media video juga dapat dijadikan sebagai promosi kesehatan yang dapat dijadikan meningkatkan  kesadaran tentang menjaga kesehatan gigi dan mulut.
Relationship of Tooth Loss and Nutritional Status of The Elderly at Pondok Lansia Tulus Kasih Bandung City
Authors: Bestari Fathiya Ainun , Supriyanto Irwan , Laela Dewi Sodja , Herijulianti Eliza
Published: June 2023

Tooth loss is one of the most common dental and oral health problems experienced by the Indonesian population. The highest proportion of tooth loss in Indonesia on 2018 was found in the elderly with the age group 65 years. Tooth loss in the elderly can affect nutritional intake. Masticatory disorders can occur in the elderly as a result of tooth loss and will result in food sorting by the elderly. As a result, the elderly can experience malnutrition and there will be a decrease in their nutritional status. The purpose of this study was to determine the relationship between tooth loss and nutritional status of the elderly at Pondok Lansia Tulus Kasih Bandung. The research method used is analytic with a cross sectional design. The subject of this research is the elderly who live at Pondok Lansia Tulus Kasih, Bandung. The sampling was done by purposive sampling technique and by calculating the Krejcie and Morgan formula so that the samples taken were 32 people. The category of nutritional status of the elderly who had the highest number of functional tooth loss was poor nutritional status with a percentage of 40%. And the nutritional status of the elderly who had the highest number of non-functional tooth loss was normal nutritional status (59.1%). The results of the Kendall's tau test showed p = 0.268 (p > 0.05). The results of this study showed that there was no relationship between tooth loss and nutritional status in the elderly at Pondok Lansia Tulus Kasih Bandung.
Snakes And Ladders Game As An Alternative Dental Health Counseling For Elementary School Students
Authors: Maulida Risda Hawa , Chaerudin Denden Ridwan , Widyastuti Tri , Supriyanto Irwan
Published: June 2023

Elementary schools that do not yet have the UKGS (School Dental Health Business) program need to hold dental and oral health counseling, but in a fun and interesting way so that the information in it can be absorbed and applied by students. One of the counseling methods is playing snakes and ladders and a spinner board. The game is interesting and innovative. This study aims to determine the effectiveness of counseling using modified media of spinner board and snake ladder games on increasing oral and dental health knowledge in fifth grade students of SDIT Al-Khairiyah Bogor City. This research is quantitative analytic with a quasi-experimental method with a total sample of 20 respondents using total sampling. The results showed that there was an increase in knowledge of oral and dental health after being given counseling using modified spinner board and snake ladder media with an increase in pre-test and post-test scores. The results of the Mann-Whitney test obtained the p< 0.05 (0.001 < 0.05) then H0 is rejected and H1 is accepted so it can be concluded that there is a difference in the effectiveness of the modified media for playing snakes and ladders and spinner board in increasing understanding of oral and dental health in fifth graders of SDIT Al-Khairiyah Bogor City. It is suggested for the school to make a UKGS program by involving the puskesmas and using and developing a modified snake and ladder game in increasing knowledge about health education, especially in dental and oral health.
The Relationship Of Coffee Consumption Habits With The Occurence Of Stain In Community In Sirap Village
Authors: Aprilina Reza Asri , Nurjannah Neneng , Ningrum Nining , Widyastuti Tri
Published: June 2023

Stain is a staining on the teeth caused by the attachment of food, drink, or other content, such as coffee. The habit of consuming coffee is one of the factors that cause stains due to caffeine contained in coffee. The purpose of this study was to determine the relationship between coffee consumption habits and the occurrence of stains on teeth.

This type of research is analytic with a cross sectional research design which was carried out in March 2022 on 50 respondents with a sampling technique using purposive sampling technique. The habit of consuming coffee was obtained through interviews using a questionnaire, while stains on teeth were obtained through direct examination results.

The results of univariate data showed that most of the respondents had stains with moderate criteria, namely 25 respondents (50%). The results of the Somers'd gamma test showed that there was a relationship between the length and amount of coffee consumed and the occurrence of stains, namely p < 0.05 and there was no relationship between the type of coffee consumed and the occurrence of stains, namely p > 0.05.
Description of knowledge levels about the maintenance of dental and oral health with the occurrence of dental caries in class VI at SDN Sindangbarang 2
Authors: Chairunnisa N Syifa , Sirait Tiurmina , Supriyanto Irwan , Nurjanah Neneng
Published: June 2023

Knowledge is the result of knowing someone about an object or something through the senses they have. Knowledge is very influential in shaping one's actions, one of which is in maintaining dental and oral health. One of the most common dental and oral health problems experienced by the community is dental caries. Dental caries is damage to the hard tissues of the teeth starting from the tooth surface (pits, fissures and interproximal areas) to extending to the dentin and pulp and can occur on one or more tooth surfaces. The purpose of this study was to describe the level of knowledge about the maintenance of dental and oral health with the occurrence of dental caries in class VI students at SDN Sindangbarang 2. This research is a descriptive study, the sampling technique used was total sampling technique. The results of research conducted on 38 students showed that the level of knowledge about dental and oral health maintenance which was categorized as good was 17 people (44.7%), medium category was 12 people (31.6%), and less category was 9 people ( 23.7%) and the average dental caries index in students was 1.26. The conclusion of this study is that the majority of students have a good level of knowledge about dental and oral health maintenance with 17 people (44.7%) and the average dental caries index in the low category with a value of 1.26.
The Relationship Of Smokers’ Behavior With Dental And Mouth Cleaning At SMAN 1 Majalaya, Bandung Regency
Authors: Andriana Icha Khoerany , Sirait Tiurmina , Herijulianti Eliza , Insanuddin Isa
Published: June 2023

Introduction: Smoking is a global health problem because it can cause various diseases and even death. The prevalence of smoking in Indonesia is 28.8%, and in West Java the prevalence of smoking is in the first rank of 34 provinces which is 32.0%, and the prevalence of smoking at the age of >15 years in 2018 is at a high rate (62.9 %). A number of studies show that smokers start smoking at the age of 11 and 13 years and 85-90% start smoking before the age of 18 years, and high school students with peers who smoke are 5 times more likely to smoke than non-smokers. have friends who smoke. In addition, there are several factors that cause students to smoke, including students having the motivation to smoke cigarettes because they want to try it after suggestions appear to try smoking from within themselves after seeing people around them smoking. Smoking not only has a systemic effect, but can also cause pathological conditions in the oral cavity. Teeth and soft tissues of the oral cavity are parts that can be damaged by smoking.

Methods: This research is a non-experimental quantitative research and uses the type of analytical research. Data were collected by distributing questionnaires containing questions about smoking behavior and followed by examination of the Hygiene Index on 40 student respondents of SMAN 1 Majalaya, Bandung Regency according to the criteria. The statistical test carried out is the Chi-Square test.

Results: The behavior of smokers and the dental and oral hygiene of the respondents were in the moderate category. And obtained the relationship between smoking behavior with dental and oral hygiene (p = 0.011 <0.05).

Conclusion: There is a significant relationship between smoking behavior and oral hygiene at SMAN 1 Majalaya, Bandung Regency.
Burial Archaeology and the First Plague Pandemic
Authors: Kay Janet E. , Koncz István , Wilson Jordan , Singer Rachel , Newfield Timothy P. , Mordechai Lee , Eisenberg Merle
Published: June 2023

Archaeological evidence from funerary contexts is largely ignored in current scholarship on first-pandemic plague, despite the important information that burials and cemeteries can provide about how plague might have affected societies. Skeletal (mainly dental) remains are used in the paleogenomic hunt for victims of plague (Yersinia pestis), but important contextual information is to be gained from plague-positive graves through bioarchaeological study of the complete skeleton and analysis of their funerary contexts, both of which are glaringly absent. We argue that future scholarship on the First Plague Pandemic must bring burial archaeology to the growing body of evidence, and archaeologists themselves must lead or be involved in this research. We present three ways in which burial archaeology can be used effectively to study the impact of first-pandemic plague on individuals and communities: by reconsidering whether we should be looking for an archaeology of “crisis” for this disease event, by evaluating burial archaeology (especially multiple burials) in its proper sociocultural context, and by examining bioarchaeological evidence from entire cemeteries where plague genomes are recovered in any quantity. We conclude by offering an example of how such archaeological evidence can be incorporated into interdisciplinary plague studies.
Youth Representation on County Government Committees: Youth in Governance in Kenosha County, Wisconsin
Authors: Calvert Matthew , Montmollin John , Winnett Tedi
Published: June 2023

The Kenosha County Youth In Governance program was created to build leadership skills and civic engagement opportunities for high school-aged students by placing two youth representatives on each of the Kenosha County Board of Supervisors standing committees. In reviewing data from 3 years of youth participants, the program was effective in increasing civic engagement and leadership skills of young people. Respondents reported specific increases in knowledge of county government, connection to community, empowerment, communication skills, and confidence. Effective program practices were also identified from reviewing statements made from youth participants.
Evaluating the Mentor-Mentee Relationship in the 4-H Tech Wizards Program
Authors: Toelle Andy , Terry Bryan , Broaddus Brent , Kent Heather
Published: June 2023

Youth rely on mentors to provide camaraderie, encouragement, and guidance. The authors asserted that the measurement of youth-mentor relationship would vastly improve the reaching effects of mentorship and expose areas of potential improvement. A questionnaire was given to youth at the beginning and end of a small group mentoring program. The Mentor-Youth Inventory survey exposed levels of emotional engagement, revealed satisfaction levels, and uncovered the breadth of relationships within the program. The study provides evidence that measuring and establishing a benchmark for the quality of youth-mentor relationships facilitates the opportunity to increase the value of small group mentoring in Extension.