bluuebunny/crossref_metadata_2025_split huggingface dataset:
Face Tracking for Flying Robot Quadcopter based on Haar Cascade Classifier and PID Controller
Authors: Priambodo A S , Arifin F , Nasuha A , Winursito A 
Published: December 2021

AbstractThe fundamental aim of this research is to develop a face detection system for a quadcopter in order to follow the face object. This research has two main stages, namely the face detection stage and the position control system. The face detection algorithm used in this research is the haar cascade method which is run using the python and OpenCV programming languages. The algorithm worked well, getting around 16fps on a low spec computer without a GPU unit. The results of the face detection algorithm are proven to be able to recognize faces from the camera installed on the DJI Tello mini drone. The mini drone was chosen because it is small and light, so it is harmless, and testing can be carried out indoors. Besides, the DJI Tello can be programmed easily using the python programming language. The drone’s position is then compared with the set point in the middle of the image to obtain errors so that control signals can be calculated for up/down, forward/backward, and right/left movements. From the testing results, the response speed that occurs in the right/left and up/down movements is less than 2 seconds, while for the forward/backward movement, it is less than 3 seconds.
Design of a Ku-band Tile T/R Module
Authors: Zhang Yu , Zhao Hailong , Song Xuefeng , Li Zenglu 
Published: December 2021

Abstract
This paper introduces a 16 channel Ku-band tile T/R module design in 3D highly integrated packaging. The technical indicator design of T/R module is completed by using four channel amplitude phase multifunctional chip and various design methods. Through reasonable indicator distribution and structure layout, the miniaturization design of T/R module is realized by using high-density substrate and 3D interconnection structure. Through process optimization, structural design and simulation verification, the reliability and producibility of T/R module is studied, and the consistency of products is improved. The test results show that the design has good microwave performance and can meet the requirements of high performance, low cost and batch production of Ku-band T/R module.
An optimized demand-response operation method of regional integrated energy system considering 5G base station energy storage
Authors: Yunli Yue , Beibei Sun , Hao Yue , Dan Chen , Yi Zhou , Jun Lu 
Published: December 2021

Abstract
The scheduling technology of regional integrated energy system is one of the key technologies to realize carbon neutralization by utilizing wind-power. Aiming at the optimal scheduling problem of regional electrothermal integrated energy system considering wind-power utilization and load side energy consumption, this paper proposes an optimized demand-response operation method of regional integrated energy system considering 5G base station energy storage. The regional integrated energy system of load side demand response is constructed based on the comprehensive consideration of technical and economic factors such as wind-power utilization and economic costs and load side peak valley difference. Finally, a two-layer particle swarm optimization method is proposed to solve the model. The experimental results show that the proposed method can effectively achieve wind-power utilization, economic dispatch and reduce the peak valley difference through load side demand response, which can improve the economic efficiency, environmental protection and low-carbon operation of regional integrated energy system.
Research and Design of Active Equalization System for Multi-stage Series Li-ion Battery
Authors: Xu Jinli , Chang Haiqing , Xun Hehui , Wang Jiaowu 
Published: December 2021

Abstract
In view of the obvious phenomenon of the difference between the single cells of the series battery pack after multiple cycles of recycling, it is necessary to adopt balanced control to extend the working life of the battery pack, improve the energy utilization rate, and ensure the safety and stability of the battery pack. This paper proposes a single battery voltage as the control variable, adopts staged equalization, charge-discharge two-level equalization protection and isolated flyback converter circuit to realize the active equalization of battery pack energy, and designs the corresponding equalization control circuit. Through the comparison of a variety of control methods, the application of this system can achieve the final voltage balance. Tests show that the proposed equilibrium system can make full use of the larger capacity monomers, quickly improve the energy imbalance in the battery pack, and can effectively extend the working life of the battery pack and improve energy utilization.
Research on the efficiency of single-wire power transmission
Authors: Zhang Fei , Guo Jing , Wang Jingming , Ren Xiaoying , Gao Lu , Tian Chen , Duan Qiuyu , Gao Yanning 
Published: December 2021

Abstract
With the development of related theoretical research on Single Wire Power Transfer(SWPT), the SWPT system has demonstrated its advantages in a variety of special environments. In this paper, the influence of capacitance and inductance on transmission efficiency is studied in order to improve the transmission efficiency of swpt system. This article simplifies and analyzes the circuit model of the SWPT system. It can be found that the system is a second-order circuit, and its response distribution trend conforms to the Gaussian function distribution. There should be an optimal ratio between the capacitor and the inductance to maximize the circuit response. Through the influence of different capacitance, inductance, and transmission distance on transmission efficiency, multiple sets of experiments and simulations are carried out. The experiment found that the capacitance, inductance, and transmission efficiency are in accordance with the Gaussian non-normal distribution, and the acquired data is fitted by the Gaussian function. The average relative error of the fitting is less than 1% under different transmission distances, which can be better reflect the relationship between the three. The study of single-wire power transmission system will provide a key reference for wireless power transmission.
Sensitivity study of ring-shaped electrostatic sensor based on nonparametric estimation
Authors: Kan Zhe , Li Yuanzhe 
Published: December 2021

Abstract
In this paper, aiming at the problem of the electrostatic sensor signal satisfying the gaussian distribution, the non-parametric kernel estimation method is introduced, and the electrode induction model of the electrostatic sensor is finally fitted by combining the goodness of fit and the simulation data samples. This model satisfies the gaussian distribution and the electrostatic signal satisfying the gaussian distribution is given in the theory. Maxwell simulation software was used to simulate the theoretical sensitivity of the electrostatic sensor and the axial and radial spatial sensitivity characteristics of different sensor parameters were obtained. Within a certain range, the relative permittivity of the insulating tube is also discussed. Finally, an insulating tube with a relative permittivity of 3 is selected as the material of the insulating tube. Finally, the experiment is carried out on the experimental equipment and the conclusions obtained in the article are confirmed.
Fault location method of active distribution network based on graph theory and matrix algorithm
Authors: Li Yalei , Zhang Xiaohong 
Published: December 2021

Abstract
In view of the large scale distributed power distribution network, distribution network from the traditional single main transformer power supply system becomes more complex broken power supply network, the trend of the distribution network flow and network frame produced change, failure fault feature information of great change, the traditional distribution network fault location method can not accurately obtain the location of the fault zone, the low accuracy of fault location, the error bigger problem a new fault location method of active distribution network combining graph theory and matrix was proposed. According to the knowledge of graph theory, the distribution network is simplified to topology diagram and described in the form of matrix, and then the fault judgment matrix is obtained through a series of matrix addition operation, and the type of fault interval can be identified accurately and quickly by combining the fault criterion table. The simulation results show that this method is simple in principle, fast and effective in criterion, suitable for the flexible operation mode of active distribution network structure, can accurately and quickly determine the fault segment, and can meet the requirements of complex distribution network fault location.
Adaptive damping control strategy of virtual synchronous generator based on fuzzy control
Authors: Li Wenkai , Xie Jie , Zhang Mengzhao , Guo Chunlin 
Published: December 2021

Abstract
Based on the topology and small signal model of virtual synchronous generator, the influence of virtual inertia and damping coefficient on transient process is analysed. In order to solve the problem of overshoot with small damping coefficient and slow response with large damping coefficient, a fuzzy control method is introduced, which can completely eliminate overshoot without affecting the response speed. Another fuzzy controller is designed to optimize the output of the virtual synchronous generator in the primary frequency modulation process according to the SOC of the energy storage system.
The path-following control of the underactuated AUV with input saturation and multiple disturbances
Authors: Sun Xingyu , Miao Jianming , Deng Kankan , Wang Yanyun 
Published: December 2021

Abstract
Autonomous underwater vehicle (AUV) in marine resource surveys plays an important role. This paper proposes a new path-following control frame for the underactuated AUV with input saturation and multiple disturbances. The disturbances include external disturbances, model parameter uncertainties, unmodeled dynamics and other random disturbances. Compared to most of previously published literatures, which treat disturbances as lumped disturbances, a composite hierarchical anti-disturbance control (CHADC) strategy is adopted to achieve higher precision path following. A disturbance observer (DOB) is constructed to estimate and eliminate the disturbances with partial known information, while the H
∞ theory is used to optimize the path-following controller to attenuate the other disturbances satisfying the L
2-norm bound condition and improve the robustness of system. Besides, Lyapunov direct method and back-stepping method are used to design the path-following controller, where the input saturation is considered, the extended state observer (ESO) is used to estimate the uncertainty of kinematic controller and the nonlinear tracking differentiator (NTD) is used to simplify the controller. Finally, simulations are given to demonstrate the effectiveness of the proposed control law.
Geographic Expansion of an Invasive Fly: First Record ofZaprionus tuberculatus(Diptera: Drosophilidae) in the Americas
Authors: Cavalcanti Fábio A G S , Ribeiro Lais B , Marins Gabriel , Tonelli Guilherme S S S , Báo Sônia N , Yassin Amir , Tidon Rosana 
Published: December 2021

AbstractDue to the increase in global transport in recent decades, species that flourish in human-altered environments are widening their geographical distribution. Consequently, endemic species are either declining or going to extinction. Here, we report the first occurrence of the Afrotropical fly Zaprionus tuberculatus Malloch in the Americas. This species has been recognized as invasive by the Invasive Species Compendium, and we argue that it will probably impact drosophilid communities. Our study was conducted on the natural and urban environments of the Brazilian Savanna, a biodiversity hotspot where drosophilid communities have been monitored since 1999. Z. tuberculatus was first collected in January 2020, at low abundances, in urban parks located in Brasília. In December 2020, we recorded it in a preserved area approximately 200 km away from the urban parks. From January to March 2021, we found the species in seven urban parks in Brasília and three natural reserves (conservation units) located around the city. The species’ relative abundance increased from 0.9% in 2020 (n = 11,244 drosophilids) to 17% in 2021 (n = 6,002 drosophilids). This is a rare opportunity to monitor a recent invasion event in a well-studied area. Based on the impact of Z. indianus Gupta, which invaded the Brazilian Savanna in 1999 and remained the dominant species during the rainy seasons, we fear that this new arrival will reduce the diversity of drosophilids in the Neotropics.
Reconstruction of human protein-coding gene functional association network based on machine learning
Authors: Huang Xiao-Tai , Jia Songwei , Gao Lin , Wu Jing 
Published: December 2021

Abstract
Networks consisting of molecular interactions are intrinsically dynamical systems of an organism. These interactions curated in molecular interaction databases are still not complete and contain false positives introduced by high-throughput screening experiments. In this study, we propose a framework to integrate interactions of functional associated protein-coding genes from 31 data sources to reconstruct a network with high coverage and quality. For each interaction, 369 features were constructed including properties of both the interaction and the involved genes. The training and validation sets were built on the pathway interactions as positives and the potential negative instances resulting from our proposed semi-supervised strategy. Random forest classification method was then applied to train and predict multiple times to give a score for each interaction. After setting a threshold estimated by a Binomial distribution, a Human protein-coding Gene Functional Association Network (HuGFAN) was reconstructed with 20 383 genes and 1185 429 high confidence interactions. Then, HuGFAN was compared with other networks from data sources with respect to network properties, suggesting that HuGFAN is more function and pathway related. Finally, HuGFAN was applied to identify cancer driver through two famous network-based methods (DriverNet and HotNet2) to show its outstanding performance compared with other networks. HuGFAN and other supplementary files are freely available at https://github.com/xthuang226/HuGFAN.
pystablemotifs: Python library for attractor identification and control in Boolean networks
Authors: Rozum Jordan C , Deritei Dávid , Park Kyu Hyong , Gómez Tejeda Zañudo Jorge , Albert Réka 
Published: December 2021

AbstractSummarypystablemotifs is a Python 3 library for analyzing Boolean networks. Its non-heuristic and exhaustive attractor identification algorithm was previously presented in Rozum et al. (2021). Here, we illustrate its performance improvements over similar methods and discuss how it uses outputs of the attractor identification process to drive a system to one of its attractors from any initial state. We implement six attractor control algorithms, five of which are new in this work. By design, these algorithms can return different control strategies, allowing for synergistic use. We also give a brief overview of the other tools implemented in pystablemotifs.Availability and implementationThe source code is on GitHub at https://github.com/jcrozum/pystablemotifs/.Supplementary informationSupplementary data are available at Bioinformatics online.
CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks
Authors: Thiele Sven , von Kamp Axel , Bekiaris Pavlos Stephanos , Schneider Philipp , Klamt Steffen 
Published: December 2021

Abstract

Summary
Constraint-based reconstruction and analysis (COBRA) is a widely used modeling framework for analyzing and designing metabolic networks. Here, we present CNApy, an open-source cross-platform desktop application written in Python, which offers a state-of-the-art graphical front-end for the intuitive analysis of metabolic networks with COBRA methods. While the basic look-and-feel of CNApy is similar to the user interface of the MATLAB toolbox CellNetAnalyzer, it provides various enhanced features by using components of the powerful Qt library. CNApy supports a number of standard and advanced COBRA techniques and further functionalities can be easily embedded in its GUI facilitating modular extension in the future.

Availability and implementation
CNApy can be installed via conda and its source code is freely available at https://github.com/cnapy-org/CNApy under the Apache 2 license.
Hope to Despair: Children and Young People’s Lived Experiences of Trafficking Abuse
Authors: Gearon Alinka 
Published: December 2021

Abstract
Despite the increasing awareness of child trafficking and modern slavery as a growing societal issue, little is known about the direct experiences of children and young people in trafficking situations. This paper contributes to this gap by reporting findings from a qualitative study that was conducted in England with young people who had lived experiences of child trafficking. Drawing on personal testimonies through in-depth interviews, this paper reports how children’s journeys of hope turned into despair. Children realised they were deceived when promises made did not materialise, they were subjected to multiple and severe forms of abuse and became aware they were used, sold and resold for traffickers’ gain. This paper considers how in seemingly powerless situations, some degree of children’s agency was exercised. Various coping mechanisms and tactics were developed as children tried to gain some knowledge and power to survive. This research provides valuable insight into the lived experiences of trafficking abuse, enabling practitioners to understand the dynamics, processes and acts children and young people are exposed to. The findings emphasise the importance of recognising the critical role that connected peers play in the trafficking process in helping others to cope, survive and ultimately escape.
Rooting and reaching: insights from Love Leitrim’s successful resistance to fracking in Ireland
Authors: Gorman Jamie 
Published: December 2021

Abstract
What can community development learn from frontline community resistance to extractivism and the fossil fuel industry? In the global North, environmental governance often operates within the dominant mode of neoliberal ‘environmentality’ (Luke. 1999. Environmentality as green governmentality, in E. Darier ed, Discourses of the Environment, Blackwell, Oxford), conceptualizing environmental action in individualized and depoliticized ways. This is compounded by the discursive hegemony of the educated middle-classes, which frames environmental issues in ways that render invisible the concerns of marginalized communities and workers. In this paper, I present an activist ethnography and case study of Love Leitrim, a community group that played a crucial role in the successful Irish movement to resist fracking. I suggest that local environmental justice struggles point to the possibility of a ‘liberation environmentality’ (Fletcher. Environmentality unbound: multiple governmentalities in environmental politics, Geoforum, 2017;85, 311–315); which challenges capitalist modes of environmental governance that facilitate the exploitation of the environment for capital accumulation. The paper identifies how a combination of (i) relational local organizing; (ii) trans-local networking with other frontline communities and (iii) creative political engagement enabled campaigners to organize collectively around the environment, navigate power asymmetries and secure political change across spatial scales. I conclude by suggesting that Love Leitrim’s frontline community struggle offers important insights for community development workers who wish to address the environment as a political issue and play a role in bringing about a just transition for marginalized communities and workers.
Father Hermann Kniebandl (1679–1745), lutenist, composer and scribe from the Cistercian Abbey of Grüssau, Silesia
Authors: Joachimiak Grzegorz 
Published: December 2021

Abstract
This article is concerned with one of the largest surviving collections of 18th-century lute tablature manuscripts, from the Cistercian abbey of Grüssau in Silesia (now Krzeszów, Poland). The collection consists of 15 volumes of manuscript lute tablature, containing more than 2,000 pieces for Baroque lute. I focus on a group of otherwise unknown compositions from these sources, all connected with the entwined monogram ‘HK’. Contemporary sources, including previously unexplored correspondence, suggest that these initials can be associated with Father Hermann Kniebandl, who also seems to have been one of the scribes represented in the collection—the first to have been identified in the entire collection up to now. Furthermore, among the works copied in this hand are seven pieces identified with the ‘HK’ monogram which may be the first identified autograph compositions by Kniebandl. Until now, his name has been associated only with the title-pages of two manuscripts from the Grüssau collection, but both are dedications copied by other scribes (though the music that follows in one of these sources is copied in his hand).
Momentary Associations of Osteoarthritis Pain and Affect: Depression as Moderator
Authors: Parmelee Patricia A , Behrens Emily A , Costlow Hill Kyrsten , Cox Brian S , DeCaro Jason A , Keefe Francis J , Smith Dylan M 
Published: December 2021

Abstract

Objectives
This research examined main and moderating effects of global depressive symptoms upon in-the-moment associations of pain and affect among individuals with knee osteoarthritis (OA). Effects of depression on short-term change in pain and affect were also examined.

Method
Older adults with physician-confirmed OA (N = 325) completed a baseline interview tapping global depressive symptoms, followed by an experience sampling protocol that captured momentary pain and affect 4 times daily for 7 days. Multilevel models controlling demographics and health conditions examined main and moderating effects of depression on momentary associations of pain with positive affect (PA) and negative affect (NA). Similar methods addressed short-term change in pain and affect. Auxiliary analyses explored broad associations of depressive symptoms with person-level averages and variability in pain and affect.

Results
Global depression predicted current pain, PA, and NA, as well as change in pain and affect over a 3- to 8-h period. Furthermore, both in the moment and over short periods, the association of pain and NA was stronger among persons higher in depressive symptoms. No moderating effect for the PA–pain association was found. Depressive symptoms were also associated with variability in pain and affect, particularly NA.

Discussion
Results confirm previous work on the relation of chronic pain with both global depressive symptoms and short-term affect. This research further demonstrates a unique moderating role of depression on the association of momentary pain with NA and suggests that the causal path may be stronger from pain to affect than vice versa.