bluuebunny/crossref_metadata_2025_split huggingface dataset:
LTV-FIR command prefiltering for vibration reduction of a flexure-jointed X-Y motion stage with payload variation
Authors: Kuresangsai P. , Cole M. O. T. 
Published: May 2021

Abstract
This paper investigates the application of a linear-time-varying (LTV) command prefilter for vibration reduction in motion control of LTV systems. A model-based time-varying prefilter function is constructed that can be convolved with arbitrary command input signals to achieve residual vibration cancellation in a finite time. The prefilter is implemented on an experimental X-Y micro-positioning stage with a low-compliance flexure-jointed mechanism. Model coefficients within the LTV prefilter realization are varied in real-time according to measured platform position. As the dynamic model is also dependent on platform payload, a method is introduced to compensate for changes of payload mass based on the interpolation of model coefficients for extremum values. The results reveal that residual vibration can be cancelled effectively with settling time reduced from over 2 seconds to less than 0.4 seconds. Rapid point-to-point maneuvers over large travel distances, and with different known values of payload mass, can be achieved with high accuracy.
Penetration-force estimation approach for a flexure-jointed micro-injection mechanism with Lorentz force actuation
Authors: Sura A. , Kuresangsai P. , Cole M. O. T. , Wongratanaphisan T. , Puangmali P. 
Published: May 2021

Abstract
This paper presents a novel linear-motion compliant mechanism with Lorentz force actuation and integrated force-sensing capability for automated cell micro-injection. A model-based force estimation approach is introduced such that no force sensor is required. Model identification is undertaken by applying a sinusoidal actuation signal while the mechanism contacts with objects of known stiffness. Displacement data is then used to calculate model coefficients via a least-squares optimization. By using an observer-based state estimation scheme with actuation and displacement signals as inputs, force sensing accuracy within 70 μN RMS error could be achieved within a sensing range of 0 - 5 mN. This sensing capability confirms the suitability of the system for penetration force measurement in certain cases of cell micro-injection.
Orbital control for cube satellites
Authors: Thidrasamee Chayada , Wanichanon Thanapat 
Published: May 2021

Abstract
Today’s space technology is continuously developing so that sending satellites into space is not difficult anymore. Besides, satellites have emerged as powerful platforms for telecommunication, survey, and traffic information. For example, many countries have started to develop their satellites. Due to its compact size and uncomplicated system, a cube satellite is suitable as a starting point for the study and development of space technology. This research investigates the stability of a cube satellite with a small size, weighing less than 1 ton and orbiting in a Low-Earth Orbit (LEO) by using the Fundamental Equations of Constrained Motion (FECM) and Sliding-Mode Controller (SMC). The proposed controller guarantees motions of the satellite under the constraint that the satellite has to orbit in a circular trajectory in a Low-Earth Orbit (LEO) and able to handle unexpected changes. The MATLAB program was used to gather data from the numerical simulation. The result from the motion of the analyzing process is rather a remarkable outcome. It may help us to understand the satellite’s movement in a circular orbit with less and adjustable errors. This finding, while preliminary, suggests that we can cope with changes very well particularly the external high-frequency noise. Also, the values of the acceptable errors can be determined by adjusting the control parameters in the proposed controller.
Automatic precision docking for autonomous mobile robot in hospital logistics - case-study: battery charging
Authors: Vongbunyong S , Thamrongaphichartkul K , Worrasittichai N , Takutruea A 
Published: May 2021

Abstract
Autonomous Mobile Robots (AMRs) plays a vital role in various logistic applications, especially in the health industry. Precise localization is required for automated navigation of the robot throughout the operations. Docking is one of the key processes that the robot moves and physically attaches to the station. Higher precision in position and orientation is required for this process to ensure the secured connection. This article presents an implementation of precise docking maker technique for localization of the robot. The robot is equipped with affordable Lidar sensor while a geometrical marker is on the docking station. The proposed method should help the robot achieve better than ±20 mm error and 0.05rad error in position and orientation.
Development of learning materials for automatic control course
Authors: Phetsong S. , Weerayuth N. 
Published: May 2021

Abstract
In the new global economy, automation technologies play an important role in the industry, agriculture, transportation and daily life in the 4.0 era. Generally, studying the theory of automatic control involves the design of the dynamic control system. Students have to understand the system and be able to create mathematical models or models of control systems, both open-loop control system and closed-loop control systems, based on the knowledge of physics, mathematics, and differential equations. They have to use all knowledge to design a control system that provides the desired results by simulating the system with computer software, which is difficult to understand and practice their skills for real implementation. By using the teaching materials that emphasize hands-on practice along with theoretical studies, is very important in creating practical experience and skills. This research has developed learning materials in designing a basic automatic control system by systematically designing and building a controller with the appropriate actuators and sensors. The designing steps are clear and easy to understand include of application of control laws, programming the controller via microcontrollers, and using a Graphic User Interface (GUI) to display the response of the system. The learning materials can compare the results from the different control systems by adjusting the parameters of the dynamics system. Students can experiment with adjusting the parameters of the controller, which makes them understand the automatic control system through actual hands-on operations with the low cost and easy to produce teaching materials.
Experimental investigation of pressure drop of water flow in a double vertical coils and shell heat exchanger induced by 28 kHz ultrasound
Authors: Tuntarungsri Suphakorn , Rakpakdee Wanarat , Pornnattawut Mongkol , Motozawa Masaaki , Fukuta Mitsuhiro , Chaiworapuek Weerachai 
Published: May 2021

Abstract
This research experimentally investigated the pressure drop characteristics induced by 28 kHz ultrasound in a double vertical coils and shell heat exchanger, typically used in 3 – 10 tons water chiller. Also, the water inlet was positioning as 3 configurations, including 1: configuration 1 is the original model from a commercial type (2 ports to the coil center), 2: configuration 2 is the modified model to make a swirl in the heat exchanger (4 ports on 4 side walls), and 3: configuration 3 is the modified model that vertically injects water to the coil (4 ports on a top wall). The results showed that the pressure drop increased in accordance with the flow rate from 0.25 to 0.75 l/s. The second inlet configuration was found to be a promising setup due to its lowest occurring flow friction. Especially in the operation under ultrasonic waves, this configuration provided a lower pressure drop of approximately 20%. Therefore, the maximum reduction of pressure drop was at 86.6% from the original configuration at the lowest flow rate. These results lead to the better design of the heat exchanger and the consequence of higher efficiency water chiller in the future.
Energy efficiency evaluation from micro trip database of HDV bus tracking system
Authors: Thapmanee Kampanat , Niyomna Phumanan , Saisirirat Peerawat , Silva Kampanart , Chollacoop Nuwong 
Published: May 2021

Abstract
Fuel consumption (L/100 km) is one of the most important parameters for assessing fuel economy and energy efficiency in the road transport sector. However, the fuel consumption database for Thailand heavy duty vehicles (HDVs) is usually collected from road-side surveys, as whole trip summaries, e.g., total consumed fuel quantity, and measured driving distances. Therefore, the effects of trip details, e.g., topography, route curvature, and driving style on fuel consumption, cannot be calculated. Nowadays, the modern vehicle tracking system, which can acquire vehicle traveling information at every second, including real-time fuel consumption, provides numerous sets of micro trip data. Therefore, this study aims to indicate important parameters effected on the fuel consumption of HDV buses, from the analysis of micro trip databases. Out of a number of fixed HDV buses routes, the Bangkok – Nakhon-Ratchasima route (about 300 km) was selected from seven HDV bus routes because this route has sufficient elevation gain (uphill) and elevation loss (downhill) for the analysis. From the analysis results, the correlation between fuel consumption and elevation gain was distinctively observed, while the relationship with other energy-related parameters were not observable. During the vehicle ascending, fuel consumption increased linearly as 0.75 L/100km by an elevation gain in m/km (? = 0.75? + 29.71). However, from elevation gain above 50 m/km fuel consumption fluctuated around a constant value of 59.03 ± 7.25 L/100km.
Photovoltaic forecasting model in Thailand: case study solar farm at Nakhon Ratchasima province
Authors: Yongchareon Withaya , Thongthew Sumlee , Juncharoen Pensiri 
Published: May 2021

Abstract
The photovoltaic module performance was normally tested at the standard conditions. The use of the actual field performance has not been investigated. One purpose of this study was to find the predicted equation for forecasting the energy produced from photovoltaic modules. Data for this study were collected using the data from the solar farm in Nakhon Ratchasima province: solar irradiation, ambient temperature, module temperature and wind velocity. The daily composite data were 1,461 from 1st January 2015 – 31st December 2018. The five predicted equations, including both the main effect and the interaction effect, were statistically analysed by regression method using the Minitab software program for multiple linear regression. The requiring dependent variable (y) was the energy produced from the photovoltaic module. The four independent variables were solar irradiation (x1), ambient temperature (x2), module temperature (x3) and wind velocity (x4). For prediction preciscion, all the predicted equations were validated with the new gathered data from 1st January 2019 – 30th June 2019. The analysis results showed, the forecasting model together with the appropriate predicted equation with the highest coefficient of determination (R2 of 0.9873) and the standard deviation of prediction (S = 2.67%). This predicted equation, ŷ = 5258 + 5310.0 x
1 - 100.31 x
2 + 66.2x
4, consisted of the three external independent variables; solar irradiation, ambient temperature, and wind velocity. The independent variable sensitivities were also determined. The solar irradiation was the most sensitive to the predicted equation. Moreover, this predicted equation would be suggested to utilize as the estimator for the energy produced from the new photovoltaic power plant to be installed at the north-eastern part of Thailand.
The energy harvester investigation in exercising by using the piezoelectric effect
Authors: Kamuang Settakorn , Pramuanjaroenkij Nutchanok , Wachum Wayuda , Tongkratoke Amarin 
Published: May 2021

Abstract
Energy is important in everyday human life, for that reason, energy harvesting is one of the most important issues. Many countries have aging societies, exercise is promoted to keep people in good health in old age. This work focused on an integration of the energy harvesting and exercise. Therefore, this work was aimed at producing electrical energy from exercise shoes by using the piezoelectric effect. Different piezoelectric circuits; series, parallel and combination circuits, and types; Lead Zirconate Titanate (PZT) and ceramic or buzzer types, were investigated. Then, an energy harvesting prototype was built to charge ions to a capacitor by attaching the prototype to shoe pads. From the circuit comparison results, the parallel piezoelectric circuit provided the highest current density and this circuit was carried out in other experiments. Next, the comparison was made by applying both piezoelectric types into two separate parallel circuits with 2 pieces per circuit. The PZT circuit harvested the same amount of electrical power as the buzzer circuit, but the energy harvesting by the PZT circuit took less time at 15 mins to complete its harvest. Finally, the PZT circuit was installed on the shoe pads as a prototype and investigated for its capability. The experiment was carried out by an experimenter who wore the shoes with the prototype and walked at a constant speed of 1 km per hr. The experimental distances were 200, 400 and 600 m and the electric power were calculated accordingly. From the experimental results, walking with the constant speed could enable the PZT piezoelectric materials to produce electric power of electrical energy constantly because of its elastic ability which could tolerate mechanical energy applied to it and because the time used to harvest energy by its circuit is short. It could be concluded from the experiments that the more the distance, the more electric power. Therefore, this prototype proved to produce electrical energy from the piezoelectric effect in harvesting energy and could be further developed as a renewable energy harvester.
Simulation of the variable assembly of MGT-SOFC systems to optimize the mechanical efficiency
Authors: Dückershoff R. , Berg H.P. , Kleissl M. , Himmelberg A. 
Published: May 2021

Abstract
Simulations of various modifications and technical solutions to improve the energy yield when connecting micro gas turbines and SOFC high-temperature fuel cell systems are presented. Above all, heat integration measures enable an increase in system efficiency and a reduction in primary energy input. On the basis of analysis of efficiencies and the heat output it is shown, which high influence the modifications for the improvement of the hybrid process have on the energy yield. Finally, an optimal configuration is worked out, which enables primary energy to be used with the highest possible efficiency.
Particular emphasis is placed on the use of gaseous fuels from renewable energy sources. Preparation mechanisms, e.g., the reforming of used methane, and the improvement of the heat insulation materials was also taken into account. All in all, electrical total efficiencies for the optimized hybrid system of more than 65 % could be proven and additional thermal energy for heating purposes was extracted. Overall efficiency for the utilization of the energy content of the primary energy of up to 95 % was then achieved.
Entire systems with a maximum system output of around 270kW were examined. In the near future, these plants can replace existing fossil-fuel power plants. Due to the achievable flexibility, the previous security of supply and load fluctuation compensation can also be performed.
Investigation of thermal stratification in a thermal storage tank with a curve edge obstacle plate
Authors: Jenyongsak Papangkorn , Trinuruk Piyatida 
Published: May 2021

Abstract
Nowadays, thermal storage tanks have been widely installed because of high demanding for hot water in the production process or daily activities in a household. Numerous energy has been consumed to produce hot water. To reduce the energy consumption and improve the energy efficiency of the hot water system, the design of thermal stratification in a storage tank can play as an important parameter on its thermal efficiency. The basic concept of the thermally stratified tank is attempted to separate a layer of hot and cold water by means of density variation and gravitational effects which cold water is aimed to existing at the bottom and hot water is at the upper part of the tank. The level of temperature stratification significantly impacts on the thermal efficiency. The higher degree of thermal stratification, the better thermal efficiency of the hot water system. However, there are many factors strongly affected the thermal stratification such as height-to-diameter ratio, the inner structure of thermal storage tank, the water flow rate, and etc. Therefore, the purpose of this study is to design a thermally stratified tank by improvement the inner structural design of the tank. Two influenced factors are focused: i) the different configuration of inlet pipes which can impact on the flow pattern and flow velocity of the water and ii) the different design of obstacle plates which can help control a recirculation area of the water in the tank. To obtain a high thermal efficiency of the stratified tank, the computer simulation program Ansys Fluent is applied for the analysis. The results show that uniform distribution of water flow and lower flow velocity due to the appropriate design of inlet pipe and proper buffer plate design can enhance the temperature stratification in the storage tank which increase the thermal efficiency during discharging processes.
Molecular mechanisms regulating the catabolic and electrochemical activities of Shewanella oneidensis MR-1
Authors: Kouzuma Atsushi 
Published: May 2021

ABSTRACT
Electrochemically active bacteria (EAB) interact electrochemically with electrodes via extracellular electron transfer (EET) pathways. These bacteria have attracted significant attention due to their utility in environmental-friendly bioelectrochemical systems (BESs), including microbial fuel cells and electrofermentation systems. The electrochemical activity of EAB is dependent on their carbon catabolism and respiration; thus, understanding how these processes are regulated will provide insights into the development of a more efficient BES. The process of biofilm formation by EAB on BES electrodes is also important for electric current generation because it facilitates physical and electrochemical interactions between EAB cells and electrodes. This article summarizes the current knowledge on EET-related metabolic and cellular functions of a model EAB, Shewanella oneidensis MR-1, focusing specifically on regulatory systems for carbon catabolism, EET pathways, and biofilm formation. Based on recent developments, the author also discusses potential uses of engineered S. oneidensis strains for various biotechnological applications.
DeepEBV: a deep learning model to predict Epstein–Barr virus (EBV) integration sites
Authors: Liang Jiuxing , Cui Zifeng , Wu Canbiao , Yu Yao , Tian Rui , Xie Hongxian , Jin Zhuang , Fan Weiwen , Xie Weiling , Huang Zhaoyue , Xu Wei , Zhu Jingjing , You Zeshan , Guo Xiaofang , Qiu Xiaofan , Ye Jiahao , Lang Bin , Li Mengyuan , Tan Songwei , Hu Zheng 
Published: May 2021

Abstract

Motivation
Epstein–Barr virus (EBV) is one of the most prevalent DNA oncogenic viruses. The integration of EBV into the host genome has been reported to play an important role in cancer development. The preference of EBV integration showed strong dependence on the local genomic environment, which enables the prediction of EBV integration sites.

Results
An attention-based deep learning model, DeepEBV, was developed to predict EBV integration sites by learning local genomic features automatically. First, DeepEBV was trained and tested using the data from the dsVIS database. The results showed that DeepEBV with EBV integration sequences plus Repeat peaks and 2-fold data augmentation performed the best on the training dataset. Furthermore, the performance of the model was validated in an independent dataset. In addition, the motifs of DNA-binding proteins could influence the selection preference of viral insertional mutagenesis. Furthermore, the results showed that DeepEBV can predict EBV integration hotspot genes accurately. In summary, DeepEBV is a robust, accurate and explainable deep learning model, providing novel insights into EBV integration preferences and mechanisms.

Availabilityand implementation
DeepEBV is available as open-source software and can be downloaded from https://github.com/JiuxingLiang/DeepEBV.git.

Supplementary information
Supplementary data are available at Bioinformatics online.
DeepChargePredictor: a web server for predicting QM-based atomic charges via state-of-the-art machine-learning algorithms
Authors: Wang Jike , Sun Huiyong , Chen Jiawen , Jiang Dejun , Wang Zhe , Wu Zhenxing , Chen Xi , Cao Dongsheng , Hou Tingjun 
Published: May 2021

Abstract

Summary
High-level quantum mechanics (QM) methods are no doubt the most reliable approaches for the prediction of atomic charges, but it usually needs very large computational resources, which apparently hinders the use of high-quality atomic charges in large-scale molecular modeling, such as high-throughput virtual screening. To solve this problem, several algorithms based on machine-learning (ML) have been developed to fit high-level QM atomic charges. Here, we proposed DeepChargePredictor, a web server that is able to generate the high-level QM atomic charges for small molecules based on two state-of-the-art ML algorithms developed in our group, namely AtomPathDescriptor and DeepAtomicCharge. These two algorithms were seamlessly integrated into the platform with the capability to predict three kinds of charges (i.e. RESP, AM1-BCC and DDEC) widely used in structure-based drug design. Moreover, we have comprehensively evaluated the performance of these charges generated by DeepChargePredictor for large-scale drug design applications, such as end-point binding free energy calculations and virtual screening, which all show reliable or even better performance compared with the baseline methods.

Availability and implementation
The data in the article can be obtained on the web page http://cadd.zju.edu.cn/deepchargepredictor/publication.

Supplementary information
Supplementary data are available at Bioinformatics online.
Laparoscopic lavage for perforated diverticulitis in the LapLav study: population-based registry study
Authors: Samuelsson A , Bock D , Prytz M , Block M , Ehrencrona C , Wedin A , Ahlstedt M , Angenete E , Haglind E 
Published: May 2021

Abstract

Background
The standard treatment for Hinchey III perforated diverticulitis with peritonitis was resection with or without a stoma, but recent trials have shown that laparoscopic lavage is a reasonable alternative. This registry-based Swedish study investigated results at a national level to assess safety in real-world scenarios.

Methods
Patients in Sweden who underwent emergency surgery for perforated diverticulitis between 2016 and 2018 were studied. Inverse probability weighting by propensity score was used to adjust for confounding factors.

Results
A total of 499 patients were included in this study. Laparoscopic lavage was associated with a significantly lower 90-day Comprehensive Complication Index (20.9 versus 32.0; odds ratio 0.77, 95 per cent compatibility interval (c.i.) 0.61 to 0.97) and overall duration of hospital stay (9 versus 15 days; ratio of means 0.84, 95 per cent c.i. 0.74 to 0.96) compared with resection. Patients had 82 (95 per cent c.i. 39 to 140) per cent more readmissions following lavage than resection (27.2 versus 21.0 per cent), but similar reoperation rates. More co-morbidity was noted among patients who underwent resection than those who had laparoscopic lavage.

Conclusion
Laparoscopic lavage is safe in routine care beyond trial evaluations.