bluuebunny/crossref_metadata_2025 huggingface dataset:
Economic Enhancement of Wind–Thermal–Hydro System Considering Imbalance Cost in Deregulated Power Market
Authors: Basu Jayanta Bhusan , Dawn Subhojit , Saha Pradip Kumar , Chakraborty Mitul Ranjan , Ustun Taha Selim
Published: November 2022

Studying the property of the combination of renewable energy sources in the existing power systems is of great importance, and especially in the case of deregulated systems. The uncertainty of renewable sources is the largest barrier to integrating renewable-energy-producing units into the existing electrical infrastructure. Due to its uncertainty, integrating wind power into an existing power system requires extra consideration. In this work, the impacts of wind farm (WF) integration and a pumped hydroelectric storage system (PHES) on the electric losses, voltage profiles, generation costs, and system economy in a deregulated power market were studied. A comparative study was performed to determine the impact of wind farm integration on regulated and deregulated environments. Four locations in India were chosen at random for this work, and we used the real-time statistics for the actual wind speeds (AWSs) and forecasted wind speeds (FWSs) for each chosen location. To determine the system economy, surplus charge rates and deficit charge rates were developed to evaluate the imbalance cost resulting from the mismatch between the predicted and actual wind speeds. Considering the effect of the imbalance cost, the system profit/day varies by an average of 1.6% for the locations studied. Because of the reorganization of the power system, consumers constantly look for reliable and affordable power that is also efficient. As a result, the system security limit may be breached, or the system may run in a dangerous state. Lastly, in this paper, an economic risk analysis is presented with the help of heuristic algorithms (i.e., artificial bee colony algorithm (ABC) and moth–flame optimization algorithm (MFO)), along with sequential quadratic programming (SQP), and the way in which the PHES is used to compensate for the deviation in the WF integration in the real-time electricity market is also presented. The value at risk (VaR) and conditional value at risk (CVaR) were used as the economic risk analysis tools. According to the work, with the increase in the wind generation, the system risk improves. The results show that, as the wind generation increases by three times, there is an improvement in the risk coefficient values by 1%. A modified IEEE 14-bus test system was used for the validation of the entire work.
Opportunities and Challenges from Symbiosis of Agro-Industrial Residue Anaerobic Digestion with Microalgae Cultivation
Authors: Policastro Grazia , Cesaro Alessandra , Fabbricino Massimiliano , Pirozzi Francesco
Published: November 2022

During the last few years, many studies have tested microalgal systems for nitrogen removal from the digestate. However, most of these studies were carried out using pure culture microalgal strains, which require aseptic conditions and thus cannot be used in full-scale applications. The aim of the present study was to explore opportunities in and challenges of the industrial symbiosis of anaerobic digestion and microalgae cultivation to enhance agro-industrial residue management. Batch tests were carried out to investigate the use of a mixed (open) microalgal consortium to treat the liquid fraction of the digestate for nitrogen removal. Preliminary experiments were performed to choose the carbon supply condition optimizing the growth of the open mixed consortium. In detail, the investigated carbon sources were bicarbonate, under two different carbon to nitrogen ratios, CO2 via the free surface and CO2 via air flushing. Further tests were conducted to compare the use of ammoniacal and nitric nitrogen sources. Then, the effectiveness of the liquid fraction of the digestate as nitrogen source was assessed. The highest biomass concentration of 1.6 g L−1 was obtained using CO2 as carbon source via air flushing as feeding strategy and ammoniacal nitrogen. Biomass production was lower (0.6 g L−1) under the digestate. Nonetheless, due to a probable symbiosis between microalgae and bacteria, a total nitrogen removal of 98.5% was achieved, which was the highest obtained in the present study. Such experimental results address the identification of the steps needed for larger-scale application of combined anaerobic digestion and mixed microalgal systems.
Environmental, Economic, and Nutritional Impact of Food Waste in a Portuguese University Canteen
Authors: Martinho Nicol , Cheng Liliana , Bentes Isabel , Teixeira Carlos A. , Sousa Silva Sofia , Liz Martins Margarida
Published: November 2022

High food waste values have been reported in university canteens in different countries. This study aims to evaluate food waste related to the consumption stage in a Portuguese university canteen and its environmental, economic, and nutritional impact. Data collection was performed at a Portuguese university with about 7000 students. Food waste (leftovers and plate waste) was assessed over 10 days by physical weighing. The Ecological Footprint Accounting methodology was used, combined with an assessment of the ecological footprint. The energy and nutritional contents of meals wasted were estimated using the software Nutrium® 4.0. The economic impact of food waste was obtained considering the daily meal price. During study period, 4374 meals were evaluated, corresponding to 1599 kg of food produced. A total of 189.5 kg of food was wasted, being higher for plate waste (164.1 kg) than for leftovers (25.3 kg). The meat group presented the highest total waste value (78.1 kg). Daily food waste represented an economic loss of €140 and an ecological footprint of 0.1 gha. About 8% of energy, 11% of protein, 9% of fat, and 5% of carbohydrates were lost per meal. The high food waste values observed (about 13.4%) estimate a monthly economic loss of €3080, an ecological footprint of 2.8 gha, and a total food waste of 417 kg.
Application of Geodesign Techniques for Ecological Engineered Landscaping of Urban River Wetlands: A Case Study of Yuhangtang River
Authors: Li Tianjie , Huang Yan , Gu Chaoguang , Qiu Fangbo
Published: November 2022

Although geodesign techniques have been studied and developed worldwide, there is still a lack of in-depth application of geodesign workflows for redesigning urban river wetlands with characteristics of ecologically engineered landscaping (EEL). The study mainly aims at putting forward a proper approach in the methodological foundation for EEL practices in river wetlands. A typical EEL-oriented project of river restoration in Hangzhou, China, was conducted in this study. Based on in-situ geodata and tools within QGIS, individual geological factors analysis, with the hierarchical analysis method (AHP) and ecological vulnerability evaluation (EVE), was conducted by experts’ voting and the weighted linear combination (WLC) method. Analysis of hydrological-related factors proceeded. This GIS-based analysis with expert knowledge provided comprehensive redesign solutions for the redesign project, i.e., restoration of the riverbed, spatial restoration in the horizontal and vertical dimensions, and integration with the multifunctional design. Detailed three-dimensional models for design practices were developed to present redesigned topology and space accordingly. Terrain, inundation, and visibility analysis proceeded with parametric mapping programs within Grasshopper to check the feasibility. The adapted geodesign-based workflow in the study also applies to the site analysis, sustainable assessment and landscape planning for urban wetlands EEL projects.
Hospital Plate Waste Assessment after Modifications in Specific Dishes of Flexible and Inflexible Food Ordering Systems
Authors: Paiva Lourdes , Hernández Carla , Santos Diana , Garayoa Roncesvalles , García Laura , Urdangarín Claudia , Vitas Ana Isabel
Published: November 2022

Previous studies on hospital food waste have focused on raising awareness among patients about this problem. The aim of the study was to quantify the food waste in a flexible and inflexible ordering system from a hospital located in the north of Spain in order to implement specific modifications to reduce the waste. The avoidable waste of 15 dishes was determined in the flexible (choice menu) and inflexible (basal diet) ordering system by weighing the avoidable waste from the same dish and diet by conglomerate. Milk, chicken and lunch fish generated more than 25% of plate waste and were classified as critical dishes, with the choice menu being the one that obtained the lowest percentages of waste. The implemented modifications in the case of milk (reducing the serving size) did not decrease the waste percentage. By contrast, the new chicken recipes and the increased fish variety in the inflexible ordering system decreased the plate waste in both dishes from 35.7% to 7.2% and from 29.5% to 12.8%, respectively. Identifying critical dishes, implementing actions to reduce the food waste and monitoring the progress are essential measures to decrease plate waste in hospitals.
Identification of Machine Learning Relevant Energy and Resource Manufacturing Efficiency Levers
Authors: Ekwaro-Osire Henry , Bode Dennis , Thoben Klaus-Dieter , Ohlendorf Jan-Hendrik
Published: November 2022

Machine learning (ML) can be a valuable tool for discovering opportunities to save energy and resources in manufacturing systems. However, the hype around ML in the context of Industry 4.0 in the past few years has led to blind usage of the approach, occasionally resulting in usage when another analysis approach would be better suited. The research presented here uses a novel matrix approach to address this lack of differentiation of when to best use ML for improving energy and resource efficiency in manufacturing, by systematically identifying situations in which ML is well suited. Seventeen generic levers for improving manufacturing energy and resource efficiency are defined. Next, a generic list of six manufacturing data scenarios for when ML is a good method of choice for analysis is created. This results in a comprehensive matrix in which each lever is evaluated along each ML scenario and given a point, providing a quantitative ML suitability score for each lever. The evaluation is conducted by drawing on past studies demonstrating whether ML is appropriate. Specifically, operation parameter and input material optimization, as well as intelligent maintenance, are the levers that score the highest and are thus identified to be most suitable for machine learning. The majority of the remaining levers is deemed to have low suitability for machine learning. This simple yet informative matrix can be used as a guideline in data-driven manufacturing energy and resource efficiency projects to provide an appraisal on the applicability of ML as the initial analysis tool of choice.
Correction: Bruni, M.E.; Khodaparasti, S. A Variable Neighborhood Descent Matheuristic for the Drone Routing Problem with Beehives Sharing. Sustainability 2022, 14, 9978
Authors: Bruni Maria Elena , Khodaparasti Sara
Published: November 2022

There was an error in the original publication [...]
The Role of Environmental, Social, and Governance Performance on Attracting Foreign Ownership: Evidence from Saudi Arabia
Authors: Alregab Hend
Published: November 2022

This research aims to examine whether corporate social responsibility (CSR) and corporate governance (CG) attract foreign investors as key indicators of a firm’s sustainability. By adopting both stakeholder theory and legitimacy theory, it is assumed that a firm could build trustworthiness and legitimacy with its stakeholders by enhancing its environmental, social, and governance (ESG) performance. Using a sample of 110 firms from the Saudi stock market from different industries, this study employs both OLS and System-GMM estimation to test the effect of both ESG performance and CG on foreign investment in Saudi Arabia. The findings indicate that ESG performance positively affects foreign investment. Additionally, it is found that the corporate governance score has a greater effect than social and environmental scores. These empirical findings suggest that companies in Saudi Arabia should adopt global schemes to improve ESG performance to maximize the share of foreign investment, thus boosting the country’s economy and increasing the level of competitive advantages and sustainability.
Visual Analysis of Mixed Algorithms with Newton and Abbasbandy Methods Using Periodic Parameters
Authors: Khan Safeer Hussain , Jolaoso Lateef Olakunle , Aphane Maggie
Published: November 2022

In this paper, we proposed two mixed algorithms of Newton’s and Abbasbandy’s methods using a known iteration scheme from fixed point theory in polynomiography. We numerically investigated some properties of the proposed algorithms using periodic sequence parameters instead of the constant parameters that are mostly used by many authors. Two pseudo-Newton algorithms were introduced based on the mixed iterations for the purpose of generating polynomiographs. The properties of the obtained polynomiographs were studied with respect to their graphics, turning effects and computation time. Moreover, some of these polynomiographs exhibited symmetrical properties when the degree of the polynomial was even.
Experimental Study on the Influence of Gravitational Tilt Angle on the Spatio-Temporal Evolution of Solutocapillary Convection
Authors: Yang Shuo , Qin Daocheng , Zhang Yupeng , Xu Lin , Fu Yudong , Cui Jie , Pan Honggang
Published: November 2022

This paper investigated the influence of surface internal energy instability caused by the gravitational tilt angle on solutocapillary convection. The results showed that the spatio-temporal evolution of solutocapillary convection in a non-axisymmetric liquid bridge was divided into three stages under different gravitational tilt angles, “the initiating stage near the upper corner”, “development to the intermediate height”, and “shrinking toward the bottom corner”. The non-equilibrium of the left or right interface curvature caused by internal energy instability promotes the distortion of the cell flow structure. The concentration gradient on the far-earth side increases first, due to the gravitational tilt angle. With the increasing gravitational tilt angle, the lateral extension of the cell flow is inhibited. The transverse/longitudinal velocity components are suppressed; however, the velocity gradient near the boundary is increased, and the uniformity of the velocity distribution in the center of the liquid bridge is improved. The axial component of the Bond number decreases in a small range (Bo′ = 1→0.98) with the internal energy instability, however, which has a significant effect on surface flow. Therefore, in the initiation and development stages of solutocapillary convection, the decay rate of the Marangoni number respectively decreases and increases with the increasing Bond number. The axial component of the Bond number decreases in a small range with the internal energy instability, which has a significant effect on the solute Marangoni number (Mac). In the initiation stage of solutocapillary convection, the decay rate of the Mac decreases with the increasing Bond number. Its change law is the opposite in the development stage of solutocapillary convection.
Spreading or Contraction of an Axisymmetric Viscous Drop between Two Plates in a Rapidly Rotating Frame
Authors: Roach M. G. E. , Huppert Herbert E.
Published: November 2022

We analyse the motions of a axisymmetric drop expanding between two rotating discs. We restrict to the case of a highly viscous fluid and a rapid rate of rotation. Therefore, we make modelling assumptions following from both a low Reynolds number and a low Rossby number. We investigate both the squeezing problem, where the top disc is pushed down on the drop; and the contraction problem, where the top plate is pulled away from the drop. Both problems have similar solutions to the non-rotating case but we find that the rotation term in the contraction problem allows a critical rotation rate that prevents the plates from moving apart. This exists because pressure in the fluid layer is lowered by the rotation and thus there is a suction effect between the two plates which promotes adhesion. We also complete the linear instability analysis of the squeezing problem and determine the critical values where the system shifts from symmetrical to asymmetrical.
DRLLA: Deep Reinforcement Learning for Link Adaptation
Authors: Geiser Florian , Wessel Daniel , Hummert Matthias , Weber Andreas , Wübben Dirk , Dekorsy Armin , Viseras Alberto
Published: November 2022

Link adaptation (LA) matches transmission parameters to conditions on the radio link, and therefore plays a major role in telecommunications. Improving LA is within the requirements for next-generation mobile telecommunication systems, and by refining link adaptation, a higher channel efficiency can be achieved (i.e., an increased data rate thanks to lower required bandwidth). Furthermore, by replacing traditional LA algorithms, radio transmission systems can better adapt themselves to a dynamic environment. There are several drawbacks to current state-of-the-art approaches, including predefined and static decision boundaries or relying on a single, low-dimensional metric. Nowadays, a broadly used approach to handle a variety of related input variables is a neural network (NN). NNs are able to make use of multiple inputs, and when combined with reinforcement learning (RL), the so-called deep reinforcement learning (DRL) approach emerges. Using DRL, more complex parameter relationships can be considered in order to recommend the modulation and coding scheme (MCS) used in LA. Hence, this work examines the potential of DRL and includes experiments on different channels. The main contribution of this work lies in using DRL algorithms for LA, optimized for throughput based on a subcarrier observation matrix and a packet success rate feedback system. We apply Natural Actor-Critic (NAC) and Proximal Policy Optimization (PPO) algorithms on simulated channels with a subsequent feasibility study on a prerecorded real-world channel. Empirical results produced by experiments on the examined channels hint that Deep Reinforcement Learning for Link Adaptation (DRLLA) offers good performance indicated by a promising data rate on the additive white Gaussian noise (AWGN) channel, the non-line-of-sight (NLOS) channel, and a prerecorded real-world channel. No matter the channel impairment, the agent is able to respond to changing signal-to-interference-plus-noise-ratio (SINR) levels, as exhibited by expected changes in the effective data rate.
Nonstructural Protein 2 Is Critical to Infection Efficiency of Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus on PAMs and Influence Virulence In Vivo
Authors: Chen Jiazeng , Yu Lingxue , Zhou Yanjun , Yang Shen , Bai Yun , Wang Qian , Peng Jinmei , An Tongqing , Gao Fei , Li Liwei , Ye Chao , Liu Changlong , Tong Guangzhi , Cai Xuehui , Tian Zhijun , Jiang Yifeng
Published: November 2022

Porcine reproductive and respiratory syndrome (PRRS) is an important viral disease, causing significant economic losses to the swine industry worldwide. Atypical cases caused by highly pathogenic PRRS virus (HP-PRRSV) emerged in 2006 in China. The vaccine strain HuN4-F112 has been developed from the wild-type HP-PRRSV HuN4 through repeated passages on MARC-145 cells. However, the mechanisms of attenuation have yet to be defined. Previous studies have shown that the vaccine strain HuN4-F112 could not effectively replicate in porcine alveolar macrophages (PAMs). In the present study, a series of chimeric and mutant PRRSVs were constructed to investigate regions associated with the virus attenuation. Firstly, the corresponding genome regions (ORF1a, ORF1b and ORFs 2-7) were exchanged between two infectious clones of HuN4 and HuN4-F112, and then the influence of small regions in ORF1a and ORF2-7 was evaluated, then influence of specific amino acids on NSP2 was tested. NSP2 was determined to be the key gene that regulated infection efficiency on PAMs, and amino acids at 893 and 979 of NSP2 were the key amino acids. The results of in vivo study indicated that NSP2 was not only important for infection efficiency in vitro, but also influenced the virulence, which was indicated by the results of survival rate, temperature, viremia, lung score and tissue score.
Effects of Biochar Application before and after Freeze-Thaw on Soil Hydrothermal and Cotton Growth under Drip Irrigation
Authors: Qi Hao , Wang Zhenhua , Lin Haixia , Song Libing , Chen Pengpeng , Chen Rui , Tang Yupeng
Published: November 2022

Biochar as an organic soil conditioner has colossal application potential. Many recent studies revealed the influence of biochar on the soil during the crop growth period. However, few studies considered the effect of seasonal freeze-thaw on biochar’s improvement effect. Therefore, we conducted a field experiment to observe the impact of biochar on soil and cotton (Gossypium hirsutum L.). We used four biochar application rates (0.33%, 0.66%, 1.00%, and 1.33% of soil mass fraction) and applied biochar in the cotton field before and after seasonal freeze-thaw, respectively. The results showed that applying biochar after freeze-thaw was more effective on soil water storage and soil temperature preservation during the cotton growth period. Moreover, applying biochar with 0.66% soil mass fraction after freeze-thaw improved the cotton biomass by 5.31~36.13%, leaf area index by −10.82~32.52%, and seed cotton yield by 3.88~21.98%. Based on the principal component analysis of cotton fiber quality, we found that 0.66% biochar application after freeze-thaw improved cotton fiber most significantly. In total, applying biochar at 0.66% soil mass fraction after freeze-thaw was the most optimal application mode for improving soil hydrothermal conditions, cotton growth, and fiber quality. Our study can provide a scientific reference for applying biochar in northern Xinjiang, China.
Nitrogen Mitigates Salt Stress and Promotes Wheat Growth in the Yellow River Delta, China
Authors: Sun Yunpeng , Chen Xiaobing , Shan Jingjing , Xian Jingtian , Cao Dan , Luo Yongming , Yao Rongjiang , Zhang Xin
Published: November 2022

Salt-affected soils is an important soil resource. Understanding fertilizer and salinity interaction are of great economic importance for improving crop yield and fertilizer use efficiency. A pot experiment was carried out to study the application of nitrogen (N) for ameliorating salt stress in wheat grown in the coastal saline soil of the Yellow River delta. Several controlling levels of salinity and nitrogen (0.7, 1.7, 2.7 g/kg, and 135, 270, and 405 kg/ha) were designed in a pot experiment in a stable water content state to investigate the N and salt interaction on soil properties and winter wheat growth characteristics. The results showed that the dry weight of winter wheat was promoted by salinity in the early growth stage (20 days), then it was gradually inhibited by nitrogen fertilizer. When winter wheat was grown by 54 days, the N and salinity had significant effects on the biomass of winter wheat. The nitrogen content of wheat shoot and root was mainly affected by N addition usage, and the largest value was obtained in 270 kg/ha N dosage treatments. The higher the salt content existed in the soil, the lower the growth rate shown in wheat cultivation. Under saline conditions, the N fertilizer application amount should be controlled to no more than 270 kg/ha, so that it could greatly promote wheat growth. Reasonable fertilizer usage could significantly contribute to crop yield and food quality of the saline agriculture in the Yellow River delta.
Optimal Irrigation Levels Can Improve Maize Growth, Yield, and Water Use Efficiency under Drip Irrigation in Northwest China
Authors: Liu Mengjie , Wang Guodong , Liang Fei , Li Quansheng , Tian Yuxin , Jia Hongtao
Published: November 2022

Drip irrigation systems are becoming more and more mature, and are presently extensively applied to increase crop yield and water use efficiency. In order to investigate the effects of irrigation quota on maize growth, the grain yield, and the water use efficiency (WUE), a field experiment with four irrigation quotas (T1 420 mm, T2 480 mm, T3 540 mm, and T4 600 mm) was conducted from 2013 to 2021 in Xinjiang, China. The results showed significant changes in maize growth, yield, and WUE in response to different irrigation quotas. The plant height, leaf area index, soil and plant analyzer development (SPAD), dry matter accumulation, yield, and harvest index of maize at different irrigation quotas all showed a ‘single peak curve’, and its change was closely related to the irrigation level. The growth index, dry matter accumulation, yield, and irrigation water use efficiency with T3 were the highest. The dry matter transfer efficiency, contribution of dry matter translocation to grain, and the harvest index with T3 showed a significant increase of 13.86%, 26.06%, 29.93%, and 7.62% compared to T1, respectively. In comparison to T1, T2, and T4, the yield of T3 increased by 32.17%, 13.54%, and 11.27%, respectively, and the WUE increased by 16.56%, 6.49%, and 23.70%, respectively. The significant correlations established between the maize yield and irrigation quotas could be simulated by a Kuznets-style relation. The maize yield was negatively correlated with irrigation quotas. When the irrigation quota (x) was 539.12 mm, the maize yield (y) was 16043.92 kg·hm−2. These results demonstrate that the optimized irrigation quota (540 mm) can effectively improve the growth, yield, and WUE of drip irrigation maize in northwest China. Meanwhile, it can provide a theoretical reference and data support for the optimal amount of irrigation for drip irrigation maize in Xinjiang China.
A Strategy for Measuring Voltage, Current and Temperature of a Battery Using Linear Optocouplers
Authors: Lakkireddy Gopal Reddy , Mathe Sudha Ellison
Published: November 2022

Input voltage, current, and temperature measurement circuits are the vital concerns of a Battery Management System (BMS) in electric vehicles. There are several approaches proposed to analyze the parameters of voltage, current, and temperature of a battery. This paper proposes a BMS methodology that is designed using linear optocouplers. In this paper, the optocouplers are incorporated between the battery pack and the BMS, which can be used in automotive applications for accurate measurements. The functions of BMS, such as measuring the current, voltage, and temperature in real time, can be executed using the proposed methodology.
Detection, Prognosis and Decision Support Tool for Offshore Wind Turbine Structures
Authors: Vásquez Sandra , Verhelst Joachim , Brijder Robert , Ompusunggu Agusmian Partogi
Published: November 2022

Corrosion is the leading cause of failure for Offshore Wind Turbine (OWT) structures and it is characterized by a low probability of detection. With focus on uniform corrosion, we propose a corrosion detection and prognosis system coupled with a Decision Support Tool (DST) and a Graphical User Interface (GUI). By considering wall thickness measurements at different critical points along the wind turbine tower, the proposed corrosion detection and prognosis system—based on Kalman filtering, empirical corrosion models and reliability theory—estimates the Remaining Useful Life of the structure with regard to uniform corrosion. The DST provides a systematic approach for evaluating the results of the prognosis module together with economical information, to assess the different possible actions and their optimal timing. Focus is placed on the optimization of the decommissioning time of OWTs. The case of decommissioning is relevant as corrosion—especially in the splash zone of the tower—makes maintenance difficult and very costly, and corrosion inevitably leads to the end of life of the OWT structure. The proposed algorithms are illustrated with examples. The custom GUI facilitates the interpretation of results of the prognosis module and the economical optimization, and the interaction with the user for setting the different parameters and costs involved.
Histomorphological study of the alveolar bone in periodontitis in the experiment
Authors:   Federal State Budgetary Educational Institution «Bashkir State Medical University» of the Ministry of Health of the Russian Federation, Ufa, Valeeva G. А.
Published: November 2022

A study of bone tissue regeneration under conditions of experimental periodontitis with stimulation of reparation by multipotent mesenchymal cells was carried out. The stimulating effect of the studied cell cultures on the proliferation and differentiation of periodontal osteogenic elements was revealed.
Reeducación al esfuerzo en pacientes con neumonía por COVID-19
Authors: Abril Mera Tania , Ordoñez Zea Anahy Elizabeth , Cantos Triviño Eduardo David , Quito Velásquez Ayrton Alan , Torres Zambrano Carmen Yanina , Correa Cúm Dennisse Solange
Published: November 2022

Los pacientes con neumonía por COVID-19, presentan secuelas como disnea, fatiga, problemas cognitivos, disminución de la capacidad aeróbica y funcional. La reeducación al esfuerzo requiere de ejercicios de bajo impacto, que exigen un trabajo progresivo de fuerza máxima en un tiempo límite para enseñarles a resistir la fatiga. El objetivo general de este trabajo es demostrar los beneficios del Programa de reeducación al esfuerzo en pacientes con neumonía por COVID-19 atendidos en el Hospital General IESS Milagro. Estudio de enfoque cuantitativo, alcance explicativo, diseño experimental e instrumentos de evaluación como: Historia clínica y escalas de mMRC, IBF, MRC Modificado, PCFS, Sit to stand y Mini mental, la muestra fue de 50 pacientes en edades entre los 20 a 70 años. Después de realizar el Programa de Reeducación al esfuerzo el 100% de los pacientes presentaron fatiga leve (IBF), el 100% no presentó deterioro cognitivo (Mini-mental); el 44% no manifestó disnea y el 56% disnea leve (mMRC). El 100% aumentaron su fuerza muscular (MRC) y el 40% realiza sus actividades de la vida diaria a pesar de presentar pocos síntomas (PCFS). El 100% mejoró en la capacidad aeróbica (Sit to Stand). Se concluye que los ejercicios de reeducación al esfuerzo coadyuvan de forma positiva a mejorar la calidad de vida de los pacientes con neumonía por COVID-19, mediante la utilización de diversas técnicas que les permita el regreso progresivo a la actividad física y los deportes, lo cual fue demostrado en los resultados.
FAKTOR-FAKTOR YANG MEMENGARUHI NILAI PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA
Authors: Suryana Nadya , Chrisnanti Frestin
Published: November 2022

The purpose of this study was to find empirical evidence related to the influence of firm size, return on assets (ROA), managerial ownership, sales growth, dividend policy, and debt policy on firm value as proxied by Tobin's Q. The sample in this study was selected using the purposive sampling method and totaled 59 non financial companies listed on the Indonesia Stock Exchange (IDX) in the period 2018 to 2020. The hypothesis testing in this study used the multiple regression method. The results of this study indicate that only return on assets have an effect on firm value. Meanwhile, the variables of firm size, managerial ownership, sales growth, dividend policy, and debt policy have no effect on firm value.
The Investigation of School Administrators' English Self-efficacy Beliefs
Authors: AKKOYUN Murat , AKYÜREK Muhammet İbrahim
Published: November 2022

The purpose of this study is to determine the English self-efficacy beliefs of school administrators. The research adopts the cross-sectional survey model to determine the English self-efficacy beliefs of school administrators. The sample of the study consists of 305 administrators working in schools in the districts of Konya, Türkiye. In the study, the “English self-efficacy belief scale” developed by Hancı Yanar and Bümen (2012) was used to determine English self-efficacy beliefs. The measurement tool used in the study was applied in April 2022. According to the results of the study, school administrators' English selfefficacy beliefs are at a low level (the level of "very little fits"). While the level of English self-efficacy beliefs of school administrators showed a significant difference according to the variables of duty, professional seniority and administration seniority, there was no significant difference based on gender, age, educational status and school type variables. Language activities can be organized in schools with the participation of all education stakeholders in order to increase the English self-efficacy of school administrators depending on the language training to be carried out.
Bir Gökkuşağı Alabalığı (Oncorhynchus mykiss) Çiftliğinde Görülen Gaz Kabarcığı Hastalığı
Authors: BALTA Fikri , VEREP Bülent
Published: November 2022

Rize ilindeki küçük bir gökkuşağı alabalığı (Oncorhynchus mykiss) çiftliğindeki porsiyonluk boydaki balıklarda gaz kabarcığı hastalığı vakasına rastlanıldı. Çiftliğe akıtılan suyun uzak mesafeden ve kot farkı olan bir dereden kapalı bir boru içinde geldiği tespit edildi. Suyun dinlendirilmeden direkt havuzlara akıtıldığı belirlendi. Porsiyonluk balıkların bulunduğu havuzlarda serbest O2 10,03-11,88 mg/L, O2 saturasyon %116,9-139,1 ve su sıcaklığı 20,3-20,9ºC olarak ölçüldü. Sudaki gaz doygunluğunu %105'in altına düşürmek için farklı yöntemler uygulandı. Suyun gaz doygunluğu %100’ün altında düşürülerek gaz kabarcığı belirtileri ortadan kaldırıldı. Bu vakada porsiyonluk boydaki gökkuşağı alabalıklarında ölüm oranının %5 olduğu tespit edildi. Sonuç olarak, gaz kabarcığı sorunu çözüldü.
Wind aspects in built environment
Authors: Klemm Katarzyna
Published: November 2022

The dynamic development of built-up areas observed in the last few decades resulted in strong environmental transformations, especially in terms of climate phenomena. One of the factors which significantly affects the climate and bioclimate of urban areas is wind. Wind can cause discomfort to pedestrians or heat loss in buildings, if the wind speed around buildings is too high. The paper presents two examples of research conducted by the author, related to the issues of wind flow in built-up areas, based on the numerical simulations. The numerical simulations become an increasingly frequently used tool to determine the wind climate. Simulation results provide designers with important information on the influence of the buildings and their layout on the local changes in airflow. They allow testing of alternative solutions and effectiveness of various remedial measures.
Investigation of material cost of an ethane-ethylene rectification column
Authors: Kállai Viktória , Mizsey Péter , Szepesi Gábor L.
Published: November 2022

In this study with the tray-by-tray method an ethane-ethylene rectification column was studied. Therefore, the effect of reflux ratio on the material cost of ethane-ethylene rectification column was investigated. In case of the modification of reflux ratio the diameter of the column and the number of trays will modify. Not only these parameters, but also the required wall thickness for strength was determined. In case of the investigated column between the reflux ratio and the diameter of the column there is second degree polynomial relationship. There is a minimum point of the material cost function, which belongs to the optimal reflux ratio.
Strength design aspects of heat exchangers with fixed tube sheet
Authors: Petrik Máté
Published: November 2022

The aim of this study is to present a short but comprehensive presentation of the strength dimensioning of one of the most common chemical equipment, the heat exchanger, in particular the shell-and-tube type. This equipment is classified as a pressure vessel, which means all aspects of design, manufacture and investigation are subject to standard specifications. As these heat exchangers are essential equipment for the chemical industry and related technologies, they typically operate at pressure other than atmospheric, the operation is also subject to regulatory requirements, which are contained in the Pressure Equipment Directive (PED) specifications. This article summarizes the design aspects of the tube sheet, a typical structural element of the shell-and-tube heat exchangers.
Preparation and characterization of foam glass from soda lime silicate glass waste by using different dosages of limestone
Authors: Mohammed Al-Saudi Sarah Kareem , Simon Andrea , Géber Róbert
Published: November 2022

Soda-lime silicate (SLS) waste glass is a kind of solid waste that is produced in large quantities as container glass or flat glass. In this work, waste window glass is used to produce foam glass using limestone as a foaming agent. The pore structure of the foam glass and the optimization of its properties by adjusting the amount of glass and foaming agents were investigated in this work. The formation of foam glass was studied on samples prepared from blends of SLS waste glass with 0.5 wt% SiC and 2, 4, 6 wt% limestone by sintering at 800 °C. The foam glass with 2wt % limestone presented a homogeneous foam structure with low body density (0.26 g/cm3), apparent porosity (9 vol%) and thermal conductivity (0.04 W/m∙K). When the limestone content increases to 6 wt %, the density and thermal conductivity of the sample also increases to 0.92 g/cm3 and 0.13 W/m∙K, respectively.
Climate Vulnerability of Photovoltaic Energy Systems using GIS: Case of the Plateau Department
Authors:   Department of Electrical Engineering, Laboratory of Electrotechnics and Applied Computing/University of Abomey-Calavi, Abomey-Calavi, Benin., Gnagbolou Yao , Agbomahena Macaire B. ,   Department of Electrical Engineering, Laboratory of Electrotechnics and Applied Computing/University of Abomey-Calavi, Abomey-Calavi, Benin., N’gobi Gabin Koto ,   Department of Physics Radiation Physics laboratory/University of Abomey-Calavi, Abomey-Calavi, Benin., Aza-gnandji Dr. Maurel Richy ,   Department of Electrical Engineering, Laboratory of Electrotechnics and Applied Computing/University of Abomey-Calavi, Abomey-Calavi, Benin.
Published: November 2022

Benin has a large potential (3.5-5.5 kWh/m2 /day) for solar photovoltaic energy production. This daily energy production, which mainly depends on solar radiation, also varies considerably, depending on climatic parameters. The Plateau department is an industrial zone where mainly clinker and cement are mined and processed. In such an environment of dust production, meteorological data are very dynamic and act as input parameters or sometimes disruptors of the photovoltaic energy conversion chain. The aim of this paper is to determine the appropriate location of the photovoltaic field for optimal production of electrical energy, in the plateau department of Benin. The analysis is based on the multicriteria decision-making method (MCDM) and Analytic Hierarchical Process (AHP), using a Geographic Information System (GIS). ArcGIS 10.8 software was used to classify and weight the different vulnerability criteria (Global Horizontal Irradiation, Temperature, Wind Speed, Wind Direction, Precipitation, Relative Humidity, Cloud cover, and Aerosol), in order to determine the optimal photovoltaic power generation area by overlaying the layers. The result shows that solar irradiation is the most important criterion for better production of photovoltaic energy whose weight of 46.06% is the highest, and aerosol (dust), the lowest weight of 2.43%, considerably reduced energy production. The northern zone from 7°35'0"N-7°39'0"N of the commune of Ketou is therefore the best site for optimal production, considering the parameters studied.
β-Ga2O3Lateral High-Permittivity Dielectric Superjunction Schottky Barrier Diode With 1.34 GW/cm2Power Figure of Merit
Authors: Roy Saurav
Published: November 2022

A novel lateral β-Ga2O3 schottky diode with high permittivity dielectric superjuction technique which circumvents the lack of p-type dopants in β-Ga2O3 for high voltage applications is demonstrated. The lateral drift region was depleted from the sides in reverse bias using dielectric polarization which helps support higher electric field in the drift layer compared to conventional schottky diode. The use of such a novel dielectric superjunction structure also allows to have higher doping in the drift layer without degrading the breakdown which results in low on resistance . A dielectric superjunction schottky barrier diode with a specific on resistance of 1.65 mΩ-cm2 and a breakdown voltage of 1487 V resulting in a power figure of merit of 1.35 GW/cm2 is demonstrated.
Efektifitas Audit Internal Syariah di Perbankan Syariah
Authors: Fatimah Nurul , Hamdan Ainulyaqin Muhammad
Published: November 2022

The main objective of this study is to determine the most effective factors that can play an important role in increasing the effectiveness of Islamic internal audit in the Islamic banking industry. This research is a qualitative method using scientific journal literature searches, and data collection was carried out using the Emerald online database. Sharia banking was established which has the aim of increasing economic activity in accordance with sharia principles, there is no usury, speculation, maysir, gharar and other activities that have been prohibited in sharia. Sharia internal audit is a way to maintain and ensure the integrity of Islamic financial institutions in implementing sharia principles. The existence of sharia internal audit for Islamic banking, provides assurance and independent accountability for stakeholders. the competence of the internal auditors is not enhanced, especially competencies related to the auditor's knowledge of muamalah sharia/fiqh or sharia audit which can be proven by holding a sharia-related certification. In carrying out their duties as an internal auditor, they must have competency qualifications to know and understand how the actual condition of sharia principles is so that they can identify if a violation occurs that is not in accordance with sharia principles both in transactions and operations.
Biomedical Applications using Hand Gesture with Electromyography Control Signal
Authors: Gulhane Vaishali M. , Kumbhare Dr. Amol
Published: November 2022

Wearables developed for human body signal detection receive increasing attention in the current decade. Compared to implantable sensors, wearables are more focused on body motion detection, which can support human–machine interaction (HMI) and biomedical applications. In wearables, electromyography (EMG), force myography (FMG), and electrical impedance tomography (EIT) based body information monitoring technologies are broadly presented. In the literature, all of them have been adopted for many similar application scenarios, which easily confuses researchers when they start to explore the area. Hence, in this article, we review the three technologies in detail, from basics including working principles, device architectures, interpretation algorithms, application examples, merits and drawbacks, to state-of-the-art works, challenges remaining to be solved and the outlook of the field. We believe the content in this paper could help readers create a whole image of designing and applying the three technologies in relevant scenarios. Index Terms : FMG; EMG; EIT; biological signal; human–system interactivities.
WEEDS IN GROUNDNUT CULTIVATION AND THEIR MANAGEMENT
Authors: Thamizhiniyan.D  , L. Vishalkumar  , S. Elanchezhiyan  , N. Indianraj
Published: November 2022

This article deals about the weeds in groundnut cultivation and their managements. However India is the largest importer of edible oil and the weeds are the major challenges in the cultivation of groundnut. This study will analyse to control the weeds in groundnut crop, effect of weeds, methods to control weeds and limitation for using herbicides. Weeds are the major problem for groundnut cultivation and 30 to 34 % yields are reduced by weeds. Trichodesma indicum, Amaranthus viridis, Cynodon dactylon, Boerhaavia diffusa, Cyperus rotundus, Celosia argentena are the major weeds for groundnut that reduce the crop yield. There are various strategical approaches to control the weeds such as chemical method, biological method, mechanical method, and physical method. Chemical method is the best method for controlling the weeds in groundnut.
KEYWORDS: Groundnut, Weeds, Chemical method, Herbicides, Fluchloralin
Az ukrán-orosz háború hatásai Egyiptomra
Authors: Prantner Zoltán , Abdel-Ati Al-Naggar Abdallah
Published: November 2022

Az Ukrajna ellen jelenleg is zajló orosz invázió átfogó gazdasági és politikai hatással bír Egyiptomra. A következmények különösen kritikusnak bizonyulnak a kulcsfontosságú búzaimport veszélybe kerülése miatt, aminek mintegy 80%-a eddig Oroszországból és Ukrajnából származott. Ráadásul a mind aggasztóbbá váló helyzetben az élelmiszerek világpiaci ára általánosan emelkedett, és 10 éves csúcsértéket ért el. A kedvezőtlen fejlemények emellett további negatív hatást gyakorolnak a COVID-járvány miatt amúgy is súlyosan érintett idegenforgalomra, ami a hiány csökkentését havi 300-400 000 orosz turista visszatérésétől remélte. Ehelyett a költségeket a szektorban növelte, hogy a szállodák több ezer ukrán állampolgárt voltak kénytelenek ingyen elszállásolni a fegyveres konfliktus kirobbanását követően, amíg azok nem tudtak visszarepülni hazájukba vagy egy általuk biztonságosnak tartott harmadik állam területére. A háború hozzájárul a devizatartalékok kimerülésének felgyorsulásához is, a külföldi befektetők pedig óvatossá váltak a feltörekvő piacokkal szemben az ukrajnai válság miatt. Legvégül kényes helyzetbe került a Nyugat és Moszkva között egyensúlyozó, független és konzervatív kairói külpolitika is, ami számára kiemelt fontossággal bír a hazai gazdaság fejlődésének támogatása. Az országnak kiemelt szüksége van új beruházásokra és kölcsönökre, amelyekre vonatkozóan már széleskörű tárgyalások folytak nyugati államokkal az orosz invázió megindulása előtt. Egyiptom ugyanekkor meghatározó együttműködést folytat Oroszországgal is a már említett élelmiszer-import és -export területén, valamint energetikai és katonai ügyekben.
Task Offloading Strategy for Ocean Based on MEC
Authors:   School of Information, Yunnan University, Kunming, China, Jiang Xinxiu , Yu Yongtao ,   Yunnan Key Laboratory of Smart City and Cyberspace Security, Yuxi , China, Hu Peng ,   Research and Development Department, Youbei Technology Co., LTD, Kunming, China, Ding Hongwei ,   School of Information, Yunnan University, Kunming, China, Yang Zhijun ,   School of Information, Yunnan University, Kunming, China
Published: November 2022

With the development of marine business, the diversification of marine business has produced more and more delay-sensitive and computing-intensive tasks, and the demand for marine communication is becoming more and more obvious. Establish a task offloading model between ship users, select offload nodes based on the connectivity probability between ship users, in order to alleviate the problem of data congestion during transmission, use orthogonal frequency division multiple access technology to divide channels, and propose subtasks and Algorithm for subchannel matching. Ship users use solar energy to supply energy, and propose a penalty strategy for insufficient energy collection and a penalty strategy for task delay, so that the system can minimize the actual energy consumption and establish an objective function under the condition of satisfying the delay constraint. The local transmit power is optimized, and the gray wolf optimization algorithm is improved to obtain a better data offloading ratio. The simulation results of EdgeCloudSim show that, compared with other methods, the proposed method can achieve the best performance while guaranteeing the delay.