bluuebunny/crossref_metadata_2025 huggingface dataset:
Abnormal Diagnosis Method of Line Loss Rate in Low-voltage Station Area Based on Data-driven
Authors: Wang Dong , Tang Xiaobo , Han Xiao , Yu Jiao , Shi Ze , Zhao Yu
Published: December 2022

In the conventional method of line loss rate anomaly diagnosis, there is an excellent correlation between the data of low-voltage stations and the line loss anomalies diagnosed overlap, which leads to a decrease in the accuracy of anomaly diagnosis. Therefore, a data-driven diagnosis method for abnormal line loss rate in low-voltage substation areas is designed. The main component characteristics of line loss data in low-voltage station areas are extracted, redundant data with overlapping partitions are processed, and then the abnormal diagnosis model of line loss rate is constructed using data-driven technology and a closed-loop low-voltage intelligent operation analysis platform. The reasonable interval of line loss in the low-voltage station area is analyzed to realize the accurate diagnosis of line loss rate abnormality in the low-voltage station area. In contrast, it is verified that the diagnostic accuracy of this method is higher and has a higher practical value.
Design and Implementation of a vibration monitor protecting the cable from external destruction
Authors: Hu Ran , Ma Nan , Shang Longlong , Jiang Rufeng
Published: December 2022

Underground cable is one of the main components of urban power supply systems. However, it is often damaged by large machinery in the process of urban road construction. To protect the underground cable, this paper proposes a novel design of a smart vibration device based on a complex embedded system, including the STM32 control chip, vibration sensors, NB-IoT communication module, and charging module. Through vibration signal detection of the excavator and other large-scale mechanical behavior, the vibration device can indicate the direction where the damage is occurring, and send out a warning message to the operation center. Finally, some experiments for vibration monitoring devices are conducted to verify their effectiveness and future application potential prospects.
Identification of Pulse Discharge Parameters in Water for Reservoir Resonance Transform Device
Authors: Kang Zhongjian , Shao Zaikang , Gao Chong
Published: December 2022

The reservoir resonance transform device is applied to unconventional shale gas stimulation. To achieve the purpose of resonance stimulation, the discharge frequency is dynamically corresponding to the natural frequency of the reservoir. However, the discharge parameters under the same conditions differ in the resonance process. It is hard to analyze the real-time change of reservoir frequency precisely. Therefore, the identification of pulse discharge parameters in water is extremely important. In this paper, an equivalent circuit model of pulse discharge in water is established to analyze the time-varying resistance. The Kalman filter makes the discrete resistance data continuous and reduces the interference caused by the random discharge. Meanwhile, the data error analysis is carried out. The results show that the variance of pulse discharge resistance in water based on the Kalman filter is less than 0.528 compared with the experiment value, so the identified resistance obtained by this method can be used in the study of resonant discharge in the same frequency.
Application of 3D Design of Overhead Transmission Line Based on Laser Point Cloud Technology
Authors: Tao Hanxun , Su Le , Kang Weiwei
Published: December 2022

The overhead transmission line is characterized by its high quantity, widespread, and complicated spot. Besides, it is easily influenced by external factors such as climate, geographical and social environment. In order to eliminate the influences above as much as possible, three-dimensional digital design is carried out in the design stage of the transmission line. Furthermore, the data collected by laser-point cloud technology, which can provide more accurate information, can be used to model geographic information rapidly and accurately, such as cross-over objects and digital elevation models. After that, based on the geographic information model imported into the 3D design platform, the ontology model of the overhead line can be completed. The overhead line model, like that, is able to be used for route optimization, check of the important cross, electric, and collision, as well as statistics on the cleaning of transmission line corridors. Compared with ordinary measurement data, laser point cloud technology can improve the design efficiency of overhead transmission line engineering, reduce design changes, and improve quality.
Application of Passive Wireless Temperature Online Monitoring System Based on Internet of Things Technology in Substation
Authors: Kou Zheng , Liu XinRong , Liu TaoWei , Yang Yue
Published: December 2022

With the improvement of the automation level of the power system, the number of operation and maintenance personnel continues to decrease, but the use of switchgear is quite large. Since the switchgear is a metal armoured device with a closed shell, the hot spots inside the switchgear cannot be detected in time during operation. Effective temperature measurement and the safety of equipment cannot be effectively guaranteed. In order to avoid the aging caused by the excessive current load of the switch cabinet, poor contact of cable joints and contacts, or long-term operation, which will cause heat in the place, forming a vicious circle and eventually leading to insulation breakdown or fire accidents, Establish a wireless temperature measurement system for switch cabinets to monitor the temperature of the parts where the equipment is prone to overheat, and issue an alarm message when the temperature rises abnormally. At present, the manual inspection of switch cabinets in the power supply system cannot effectively and timely detect fire hazards, so the problem of online monitoring of switch cabinet temperature is particularly prominent. Using the Internet of Things sensing technology and communication technology, build an Internet of Things-based electrical connection point temperature online monitoring system, the all-weather real-time monitoring of the connection parts of high-voltage electrical equipment can effectively reduce the equipment failure rate, promote the condition maintenance of power equipment, and ensure the safe and economical operation of the power system.
Optimal Distribution Scheme for Electric Logistics Vehicle Response to Real-time Price
Authors: Cheng Xu , Zhang Mengmeng , Cui Zhengpai , YangYu  , Zhou Fangze , Zhou Hui
Published: December 2022

In order to decrease the cost for those electric logistics vehicles, it’s necessary to consider respond the lower real-time price in the electricity market when the EV is prepared for charging electricity and find an optimal distribution scheme; the key problem is in constructing an optimal model and find proper optimization solving approach. Firstly, based on the constructed information system, the variation characteristics of real-time price and the charging/discharging characteristics of the battery are analyzed. Secondly, the mathematical model of minimizing the cost of electric logistics vehicles is constructed. Various constraints, such as battery capacity limit, road accessibility, and whether a charging station is available, are considered. Then, with the improved dynamic programming, the discussed problem is easy to be solved when being converted into multi-stage decision-making. Finally, an example demonstrates how electric logistics vehicles respond to real-time prices. Those findings can verify the proposed model and solution approach are valid.
Research on Adjustable-Speed Asynchronous Condenser with AC Excitation and Its Excitation Control Strategy
Authors: Lv Yanling , Cui Haopu , Qi Haibing , Jiang Xingyuan , Hou Shiqiang
Published: December 2022

In this paper, a speed-adjustable asynchronous condenser with AC excitation and its excitation control strategy are proposed. Through excitation control, the asynchronous condenser not only can adjust the voltage by reactive power output but also can adjust the speed to release rotational kinetic energy and increase the system inertia to smooth system frequency. In this paper, the model of the asynchronous condenser is established, and then a transiently improved control strategy for the asynchronous condenser considering the change of the stator excitation current, is proposed. It is verified by simulation that after the transient improvement control strategy is adopted, the asynchronous condenser can provide reactive power support and a certain frequency support capability to the system.
Modeling and Simulation of Electric Thrust Reverser Actuator Control Based on Simulink
Authors: Ke Jie , He Bihai , Jin Chongwen , Zhang Xu , Zhu Zhisheng
Published: December 2022

According to the structural characteristics and working principle of the electric actuator system of the aircraft thrust reverser, the mathematical control model of the thrust reverser actuator is proposed for a certain type of electric thrust reverser actuator system. The model is established and simulated by the modular modeling method based on Simulink software. The actuator’s load force, transmission, displacement, and velocity relationship are analyzed. The simulation results show that the model can simulate the deployment and stow of the actuator under different conditions and provide a platform for the control logic design, force analysis, and fault diagnosis of the electric thrust reverse actuator system.
Research on Optimal Allocation of Reactive Power Compensation in Offshore Wind Power Transmission System via AC Cable Based on Controllable Reactor
Authors: Li Shupeng , Li Zhenbin , Man Yuyan , Li Qirui , Liu Yali , Yu Guangyao
Published: December 2022

The capacitance of submarine cables with the same length and the same voltage level is more than 20 times that of overhead lines, which makes the reactive power for AC transmission system of offshore wind power greatly increase and the power flow is complicated, and it is easier to produce a series of problems such as reactive power return, low power factor, increased network loss, and terminal voltage rise, which puts forward higher requirements for reactive power compensation configuration scheme. Combined with practical engineering cases, this paper introduces the reactive power and voltage characteristics of the sea breeze system, as well as the problems and shortcomings of conventional reactive power compensation schemes. Finally, the reactive power allocation optimization scheme based on the new magnetically controlled controllable reactor MCR is proposed, which has the technical and economic advantages of low running loss, saving investment and land occupation, etc. It can be used as a beneficial supplement to the reactive power allocation scheme for the transmission system of offshore wind power with AC cable and has the value of engineering popularization.
Research on Transmission Scheme for Important Transmission Sections by Changing Original AC Lines into DC Lines
Authors: Li Yan , Wang Decheng , Zhu Xiaojun
Published: December 2022

Affected by geographical conditions and construction conditions, the number and capacity of transmission lines connecting different regions are limited. Meanwhile, the power on each transmission line does not reach the rated capacity and the power flow distribution is uneven due to the grid structure in traditional power systems. Changing original AC lines into DC lines is provided for improving power transmission. DC system-based MMC is also discussed and designed. Simulation results demonstrate the feasibility and performance of the proposed transmission scheme.
Fault Location Method of Distribution Network with Distributed Generation
Authors: Gu Jiangbo
Published: December 2022

Distributed generation is widely used in power systems, but the topology becomes complicated after the grid connection. Because of the large-scale distributed generation grid, the difficulty of fault location is increasing, and the terminal is easily affected by environmental influences, which leads to the uploaded information being easily distorted. This paper proposes an improved algorithm to solve the defects of the standard intelligent algorithm in the location of high-dimensional and large-scale distributed grids. At the same time, a hybrid algorithm combined with the improved matrix algorithm is proposed to solve the location of the fault section. The experimental analysis proves that the location method studied in this paper can guarantee the distribution network’s security and stability and the power supply’s reliability. The experimental analysis has significant engineering value in the distribution network fault location.
Development in Emergency Device of Live Deficiency Elimination for SF6 Electrical Equipment
Authors: Chen Changlei , Li Zhi , Zhang Jianjun , Wang Lide
Published: December 2022

With the increase in the operating life of SF6 gas insulation equipment, the issues of excessive SF6 micro-water content, its excessive decomposition products, and its decreased purity have serious repercussions for safe and stable equipment operation. The conventional treatment is affected by the power outage and cannot completely eliminate the deficiencies. A set of the SF6 online dialysis device that can be operated without power failure needs designing and processing to realize online purification of micro-water with ultra-standard SF6 gas and impurity gases in it; when the high-voltage equipment leaks and cannot be powered off, this device can automatically control the air supply to ensure the safe equipment operation and earn time for subsequent repairs. The lightweight design and self-loading and unloading configuration of this device can satisfy the needs of special operating environments and sites.
Research on human-machine interaction method of smart grid based on meta-learning
Authors: Wu Feng , Liu Junjun , Wang Chen , Ji Yonghuan , Cui Chen
Published: December 2022

As the size of the power grid continues to grow, the workload of dispatchers is becoming more and more powerful, and dispatchers alone cannot meet the daily dispatching communication needs. Voice human-machine interaction is a key technology in the field of artificial intelligence. This article proposes a smart grid human-machine interaction method based on meta-learning, this article proposes to use meta-learning to train language models and first-order MAML to optimize the initial model parameters. Experimental results show that after 20 epochs of training using less data, the speech recognition WER is reduced to 1.64% and the SER is reduced to 9.78%, which is better than the traditional hidden Markov model on WER and SER, and with the increase of training times, the recognition performance is gradually improved, and there is no overfitting phenomenon.
Design of Biogas Production Prediction Model Based on Improved BP Neural Network and Genetic Algorithm
Authors: Wu Yuchen , Zhang Guangming , Zhang Yunfei , Wang Bo
Published: December 2022

This paper presents a model for predicting biogas production. Most biogas production models are only suitable for laboratories due to their high complexity and are not suitable for practical production applications and promotion. The existing biogas stations have a low degree of automation, and biogas production is often manually estimated based on experience. In view of these problems, the BP neural network was studied and the biogas production prediction model was established. Genetic algorithm (GA) is introduced to optimize the model parameters to make the experimental results more accurate. The data show that the prediction effect based on GA-BP model is very ideal.
Research on Volatility Clustering Algorithm for Intermittent Renewable Energy
Authors: Gao Xuefeng , Li Hao , Ji Shuai , Wang Dingheng , Wang Dong , Jia Jia
Published: December 2022

The increase in the penetration rate of renewable energy such as wind power and photovoltaics has brought challenges to the stable dispatch and safe operation of the power system. Therefore, based on the short-time fast Fourier transform method, this paper constructs a long-short-term memory neural network model, and proposes a new volatility clustering algorithm for intermittent renewable energy. On this basis, based on the open source data set RTS-GMLC published by the National Renewable Energy Laboratory (NREL), experimental simulations were carried out to verify the effectiveness of the proposed volatility clustering algorithm for intermittent renewable energy. sex. This provides a quantitative decision-making basis for the dispatch and operation of power systems dominated by intermittent renewable energy.
High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning
Authors: Dai Yue , Lu Jiangang , Yu Zhiwen , Zhao Ruifeng
Published: December 2022

All aspects of smart grid operation require precise timing technology to improve the timeliness and precision of the network. However, due to the complex and time-varying network environment and the low precision of device timing, the existing timing technology cannot meet the timing precision required by smart grid services. Therefore, according to the multi-armed bandit (MAB) theory and the upper confidence bound (UCB) algorithm, this paper proposes a high-precision timing method for power transmission and distribution park named adaptive timing-aware upper confidence bound (AUCB). The long-term average reward is maximized based on local information and historical decision-making experience. The simulation results show that the proposed high-precision timing method of AUCB in the power transmission and distribution park can effectively improve the device timing precision and realize self-adaptive timing for power system devices.
Investigation on crashworthiness and mechanism of a bionic antler-like gradient thin-walled structure
Authors: Wei Zhiquan , Zhang Xu , Zheng Yang
Published: December 2022

Inspired by an impact-resistant antler, a novel size-gradient thin-walled structure is designed as an energy absorber. Its crashworthiness and mechanism are investigated by finite element simulation. The results show that the bionic-antler gradient structure has excellent crashworthiness performance with the specific energy absorption (SEA) of 2.17 and 1.29 times that of cylinder and fractal spider web, respectively, and the crushing force efficiency as high as 91.54%. Furthermore, when its SEA is the same as that of the fractal spider web, the peak crushing force can be reduced by 35%. The bionic-antler gradient structure produces many folds due to small folding wavelength, which expands the scope of energy storage area and improves the value of energy storage. Increasing properly the cell size-gradient or decreasing the average cell size can further enhance the crashworthiness performance of the bionic-antler gradient structure.
Attributing synergies and trade-offs in water resources planning and management in the Volta River basin under climate change
Authors: Liersch S , Koch H , Abungba J A , Salack S , Hattermann F F
Published: December 2022

To feed the growing population, achieve the Sustainable Development Goals, and fulfil the commitments of the Paris Agreement, West African countries need to invest in agricultural development and renewable energy, among other sectors. Irrigated agriculture, feeding millions of people, and hydropower, generating clean electricity, depend on water availability and compete for the resource. In the Volta basin, the planned 105 000 ha of irrigated land in Burkina Faso and Ghana could feed hundreds of thousands of people. However, irrigation in the dry season depends on upstream dams that change the river’s flow regime from intermittent to permanent, and at the same time irrigation water is no longer available for hydropower generation. Using an integrated eco-hydrological and water management model, we investigated the water demand and supply of three planned irrigation projects and the impacts of the planned Pwalugu multi-purpose dam on the hydropower potentials and water availability in the entire Volta basin. We found that future irrigation withdrawals would reduce the hydropower potential in the Volta basin by 79 GWh a−1 and the operation of Pwalugu by another 86 GWh a−1. Hence, Pwalugu contributes only about 101 GWh a−1 of its potential of 187 GWh a−1. Under climate change simulations, using an ensemble of eight bias-adjusted and downscaled GCMs, irrigation demand surprisingly did not increase. The higher evaporation losses due to higher temperatures were compensated by increasing precipitation while favouring hydropower generation. However, water availability at the irrigation site in Burkina Faso is clearly at its limit, while capacity in Ghana is not yet exhausted. Due to hydro-climatic differences in the Volta basin, the cost of irrigating one hectare of land in terms of lost hydropower potential follows a north-south gradient from the hot and dry north to the humid south. Nevertheless, food production should have priority over hydropower, which can be compensated by other renewables energies.
Finite temperature quantum condensations in the space of states: general proof
Authors: Ostilli Massimo , Presilla Carlo
Published: December 2022

We formalize and prove the extension to finite temperature of a class of quantum phase transitions, acting as condensations in the space of states, recently introduced and discussed at zero temperature (Ostilli and Presilla 2021J. Phys. A: Math. Theor.54055005). In details, we find that if, for a quantum system at canonical thermal equilibrium, one can find a partition of its Hilbert spaceinto two subspaces,and, such that, in the thermodynamic limit,dimℋcond/dimℋ→0and the free energies of the system restricted to these subspaces cross each other for some value of the Hamiltonian parameters, then, the system undergoes a first-order quantum phase transition driven by those parameters. The proof is based on an exact probabilistic representation of quantum dynamics at an imaginary time identified with the inverse temperature of the system. We also show that the critical surface has universal features at high and low temperatures.
Thermodynamically free quantum measurements
Authors: Mohammady M Hamed
Published: December 2022

Thermal channels—the free processes allowed in the resource theory of quantum thermodynamics—are generalised to thermal instruments, which we interpret as implementing thermodynamically free quantum measurements; a Maxwellian demon using such measurements never violates the second law of thermodynamics. Further properties of thermal instruments are investigated and, in particular, it is shown that they only measure observables commuting with the Hamiltonian, and they thermalise the measured system when performing a complete measurement, the latter of which indicates a thermodynamically induced information-disturbance trade-off. The demarcation of measurements that are not thermodynamically free paves the way for a resource-theoretic quantification of their thermodynamic cost.
Coherent states of the one-dimensional Dunkl oscillator for real and complex variables and the Segal–Bargmann transformation of Dunkl-type
Authors: Ghazouani Sami
Published: December 2022

In this paper, we construct coherent states of a parity deformation of the Heisenberg algebra and we examine some of its properties. We show that these states minimize the uncertainty principle and obey the classical equations of motion for the harmonic oscillator. Also they constitute a non-orthogonal over-complete system which yields a resolution of the identity operator. As a concrete realization of this algebra and its coherent states, we treat the quantum systems governed by the one-dimensional Dunkl oscillator for real and complex variables. We show that these quantum systems are unitary equivalent and the unitary equivalence is a Segal–Bargmann transformation of Dunkl-type.
Non-autonomous multidimensional Toda system and multiple interpolation problem
Authors: Doliwa Adam
Published: December 2022

We study the interpolation analogue of the Hermite–Padé type I approximation problem. We provide its determinant solution and we write down the corresponding integrable discrete system as an admissible reduction of Hirota’s discrete Kadomtsev–Petviashvili equations. Apart from theτ-function form of the system we provide its variant, which in the simplest case of dimension two reduces to the non-autonomous discrete-time Toda equations.
Development of multi-band and high-speed visible endoscope diagnostic on EAST with catadioptric optics
Authors: HAN Xiaofeng , YANG Jianhua , YAN Hailong , ZANG Qing , HU Jiahui , SUN Pengjun , YANG Xiaofei
Published: December 2022

A new multi-band and high-speed endoscope diagnostic for the observation of visible light has been successfully developed on the Experimental Advanced Superconducting Tokamak. The mirror with an aperture is designed at the head of the optical system. Based on two dichroic mirrors, the system is divided into three imaging mirror groups with different bands, i.e. B (380–500 nm), G (500–580 nm) and R (580–750 nm) bands, and its focal length is 16 mm with a relatively large aperture of D/f = 1:4. The spatial resolution is less than 5 mm near the object distance of

1750

mm

with the camera NAC ACS-1 M60. This optical system will be used to contrastively study both the spatial distribution and time evolution of different impurities in the same field of view. The experimental results confirm that it can be applied to the recognition of plasma boundary and related physical research.
Convergence in determining enzyme functional descriptors across Kemp eliminase variants
Authors: Jiang Yaoyukun , Stull Sebastian L , Shao Qianzhen , Yang Zhongyue J
Published: December 2022

Molecular simulations have been extensively employed to accelerate biocatalytic discoveries. Enzyme functional descriptors derived from molecular simulations have been leveraged to guide the search for beneficial enzyme mutants. However, the ideal active-site region size for computing the descriptors over multiple enzyme variants remains untested. Here, we conducted convergence tests for dynamics-derived and electrostatic descriptors on 18 Kemp eliminase variants across six active-site regions with various boundary distances to the substrate. The tested descriptors include the root-mean-square deviation of the active-site region, the solvent accessible surface area ratio between the substrate and active site, and the projection of the electric field (EF) on the breaking C–H bond. All descriptors were evaluated using molecular mechanics methods. To understand the effects of electronic structure, the EF was also evaluated using quantum mechanics/molecular mechanics methods. The descriptor values were computed for 18 Kemp eliminase variants. Spearman correlation matrices were used to determine the region size condition under which further expansion of the region boundary does not substantially change the ranking of descriptor values. We observed that protein dynamics-derived descriptors, including RMSDactive_site and SASAratio, converge at a distance cutoff of 5 Å from the substrate. The electrostatic descriptor, EFC–H, converges at 6 Å using molecular mechanics methods with truncated enzyme models and 4 Å using quantum mechanics/molecular mechanics methods with whole enzyme model. This study serves as a future reference to determine descriptors for predictive modeling of enzyme engineering.
Governance in Higher Education
Authors: Shin Jung C. , Jones Glen A.
Published: December 2022

Governance has become a commonly used and studied concept within the scholarship of higher education, in large part because the term is defined broadly to include the relationships between institutions and the state, the development of system-level policies and the influence of external stakeholders, as well as institutional decision-making arrangements and structures. The concept is therefore understood as involving both multiple levels of power and authority and multiple agents and actors. It has increasingly been used as an umbrella concept in the analysis of major policy changes and reforms that are central to the study of higher education, including funding, quality assurance, and accountability. Neoliberalism and the adoption of New Public Management have transformed the governance structures and arrangements within many systems by valorizing the role of markets, strengthening the role of institutional managers as the state-centered systems decentralize elements of authority, focusing attention on institutional performance measures, and linking performance to state funding mechanisms. Government coordination of higher education has become increasing complex given the development of multiple institutional types (institutional diversity) and the positioning of higher education as a core component of national research and innovation systems. In many systems, coordination now includes multiple agencies. Institution-level governance has also been transformed in many jurisdictions with structural arrangements that reinforce the importance of central management operating under the oversight of a corporate board representing external interests and stakeholders. There has been a general decline in the influence and authority associated with traditional collegial decision processes. Research has highlighted challenges related to the understanding of governance effectiveness and the relationship between governance reform and institutional performance. There has also been an increasing interest in comparative international scholarship to identify common trends, although there is also an increasing recognition of how governance has been influenced by differences in the history, traditions, and sociopolitical contexts of national systems. A multitude of issues are deserving of greater attention within governance scholarship, including the influence of major political shifts within national governments, international rankings, and the quest for the improvement of institutional performance on system- and institution-level governance.
Global Mobile Afghanistan c. 1900–Present
Authors: Marsden Magnus
Published: December 2022

Afghanistan has long been associated in scholarly and more popular work with images of remoteness and isolation from the modern world. Over the first two decades of the 21st century in particular, however, scholarship on the country has increasingly brought attention to Afghanistan’s multiple connections to a wide range of contexts, both regional and global. This work has focused on the agency that mobile people from Afghanistan have exerted by connecting the country to global transformations, and shaping the influences these have had on its dynamics. Scholars have brought attention to the importance of social networks made of traders and merchants, students, religious scholars, as well as refugees and exiles in mediating Afghanistan’s connection with the global world over the 20th century.
The Chicana and Chicano Movement
Authors: Bermudez Rosie
Published: December 2022

The Chicana and Chicano movement or El Movimiento is one of the multiple civil rights struggles led by racialized and marginalized people in the United States. Building on a legacy of organizing among ethnic Mexicans, this social movement emerged in the decades of the 1960s and 1970s to continue the struggle to secure basic human needs and the fulfillment of their civil rights. To be Chicana and Chicano during this era represented an assertion of ethnic and cultural pride, self-determination, and a challenge to the status quo. Those who claimed this political identity sought to contest the subordinate position of people of Mexican origin in America. They responded to the effects and persistence of structural inequalities such as racism, discrimination, segregation, poverty, and the lack of opportunities to rise out of these conditions. Militant direct action and protest were hallmarks of this sustained effort. A flourishing intellectual and creative atmosphere existed within the movement that included the proliferation and combination of multiple ideological and political positions, including cultural nationalism, internationalism, feminism, and leftism. A major facet was rooted in historical recovery, analysis of conditions, and cultural awareness, represented within a wide-ranging print culture, and various forms of expression such as political theater, visual arts, poetry, and music. Constituted by several organizations and local movements, El Movimiento participants varied in age, generation, region, class, and sexuality. Several long-standing issues, including labor and land disputes that were directly linked to a brutal history of exploitation and dispossession, were grappled with. A lack of political representation and substandard education fueled struggles for an alternative political party and education. Further struggles stemmed from poverty coupled with police violence and suppression. Others took on anti-war efforts, and still others tackled gender inequality which reverberated throughout.
Tzu Chi
Authors: DeVido Elise Anne
Published: December 2022

The Buddhist Compassion Relief Tzu Chi Foundation, founded in 1966 by the Taiwanese bhikkhunī Shih Cheng Yen, is a global humanitarian nongovernmental organization (NGO). Tzu Chi Foundation USA is in consultative status with the United Nations Economic and Social Council (UN-ECOSOC). Tzu Chi’s “Four Missions and Eight Footprints” comprise formidable phalanxes of volunteers and professionals in the fields of charity, relief, medicine, education, and cultural production as well as international relief, bone marrow donation, community volunteerism, and environmental protection. As of 2021, Tzu Chi has provided humanitarian aid to people in 122 countries and regions. There are Tzu Chi volunteers in sixty-six countries and regions across the continents of Asia, Europe, Africa, North America, and South America as well as Oceania. All organizations, particularly those with charismatic founders, face questions of long-term sustainability. The Tzu Chi enterprise must determine how each part will play a role, how to better coordinate Taiwan’s operations with operations overseas, how to recruit young talent as volunteers and professionals, and how to develop the Tzu Chi School of Buddhism and Jing Si Dharma Lineage as the threads that bind Tzu Chi together. Yet no matter what organizational and philosophical configuration may develop, Tzu Chi is a model for humanitarians and Buddhists alike on how to relieve suffering, nurture hope, and build community through the bodhisattva path.
Conservation in the Luquillo Mountains of Puerto Rico
Authors: Lugo Ariel E.
Published: December 2022

Conservation is a long-term process that unfolds over time and seeks to develop harmony between human activity and ecosystems of all types. The unfolding of conservation in the Luquillo Mountains of Puerto Rico took place over a period of over 140 years, beginning in 1876. The conservation process in Puerto Rico involved the description of the biodiversity, the understanding of forest dynamics in relation to the conditions prevailing in the Luquillo Mountains, extensive research on the life history of critical species, understanding the basis of forest resilience, recognizing the social-ecological-technological context of conservation, applying advanced technological tools, and resolving the inevitable conflict that develops among the different actors involved in the conservation effort. Unfolding conservation within a country requires continuous and effective support from governmental, non-governmental, business, and scientific sectors of the social-ecological-technological systems of the country. These sectors come together at different moments in time, and the path followed is different in different countries. In Puerto Rico, the unfolding of conservation was triggered by the government in close collaboration with academic and governmental scientific sectors. Within the Luquillo Mountains, the business sector did not oppose conservation activities, and the unfolding process reached high levels of effectiveness. The rest of Puerto Rico benefited from the conservation process unfolding on the Luquillo Mountains. In contrast, conservation in the Amazon has been characterized by conflict among different actors competing for a common resource. In general, commercial activities that are based on resource exploitation lead to conflict and a slower development of conservation activities. When the business community used science to improve land productivity, as it did in Central America, conservation benefited because the science that was used stimulated conservation values. The establishment of government institutions with a focus on conservation through research and education appeared late in the mainland tropics compared to Puerto Rico, but when it happened, it accelerated the unfolding of conservation. All the countries examined here were most effective in conservation when the collaboration among the different sectors of society was high and based on objective and anticipatory scientific activity.
Digital Resources: Rubén Darío Papers 1882–1945 in the Arizona State University Digital Repository
Authors: Valiant Seonaid
Published: December 2022

The Nicaraguan poet, journalist, and diplomat Rubén Darío was one of the foremost writers of the modernist movement in Latin America at the turn of the 20th century. In his writing, Darío struggled with the historicity of Spanish and the weight of colonialism. Throughout his career, his work explored the changes in language, religion, love, and sexuality in the postcolonial era.

A collection of Darío’s manuscripts and transcripts of Darío’s poetry and correspondence with other journalists, diplomats, poets, and romantic partners is available at the Arizona State University Library. This collection contains unique correspondence with important persons who were modernists and politicians, such as Emilio de Arriaga, Pedro Balmaceda Toro, Ernesto Bermúdez, Luis Bonafoux, Francisco Castro, Benigno Díez Salcedo, Rodolfo Espinosa, Fermín Estrella, Vicente Gasset, Crisanto Medina, and Amado Nervo.

The archive was collected by Darío’s secretary, Alejandro Bermúdez. These papers may be seen online or in person at the Hayden Library.
Nominal Inflectional Morphology in Germanic: Pronouns
Authors: Rabanus Stefan
Published: December 2022

Pronouns are words that represent morphosyntactic features of nominal referents located somewhere else in the sentence or the context. They display the highest degree of morphosyntactic exponence in the nominal domain, including features of person, gender, number, case, animacy, and social relationship. The Germanic languages make use of a common set of pronoun roots in order to form the paradigms of demonstrative, personal, reflexive, interrogative, and indefinite pronouns. Selection and inflection are language specific: for example, the Germanic demonstrative pronoun root *þat developed to the uninflected distal demonstrative that in English, while in German it forms part of the inflectional paradigm of the proximal demonstrative der, die, das. Reciprocal, relative, and possessive pronouns do not have autonomous roots; their forms are derived from the previously mentioned classes; compare the English relative pronouns that (< demonstrative), what, who, whose, which (< interrogative). Suppletion occurs in many paradigms, especially with person features, for example, English first person I, second person you. The 13 Germanic standard languages, Icelandic, Faroese, German, Luxembourgish, Yiddish, Danish, Swedish, Bokmål, Nynorsk, Dutch, Frisian, English, and Afrikaans, form a continuum in which Icelandic is closest to the Germanic roots and has most distinctions while Afrikaans has the least. Often the paradigm structure mirrors the geographical subdivision in Scandinavian and West Germanic. However, in some aspects German (and Luxembourgish, Yiddish) cluster with Insular Scandinavian while Mainland Scandinavian is structurally closer to the rest of the West Germanic languages. Adnominal usage of pronouns and their usage as independent constituents is only in rare cases morphologically distinguished, for example, English adnominal possessive your versus independent pronouns yours.
Small ruminant lentivirus capsid protein (SRLV-p25) antigenic structural prediction and immunogenicity to recombinant SRLV-rp25-coupled to immunostimulatory complexes based on glycyrrhizinic acid
Authors: Castañeda-Montes María Azucena , Cuevas-Romero Julieta Sandra , Cerriteño-Sánchez José Luis , de María Ávila-De la Vega Lucero , García-Cambrón José Bryan , Ramírez-Álvarez Hugo
Published: December 2022

Small ruminant lentiviruses (SRLV) infect sheep and goats resulting in significant economic losses. This study evaluated for the first time the predicted conformational structure of the SRLV-capsid-protein 25 (SRLV-p25) and analyzed the antigenicity of recombinant protein (SRLV-rp25) in mice by coupling to an immunostimulatory complexes based on glycyrrhizinic acid liposomes (GAL) and tested plasma from goats and sheep naturally infected. Analysis in silico and conformational structure of SRLV-p25 (genotype B-FESC-752) showed similar characteristics to other lentiviral capsids. The efficient expression of SRLV-rp25 was confirmed by Western blot. The humoral immune responses in mice showed an increased level of antibodies from day 21 to 35 of the SRLV-rp25-GAL and SRLV-rp25-ISCOM® groups and the cellular immune response showed no significant difference in IL-10 levels (P >.05), however, a significant difference (P <.001) was observed when comparing SRLV-rp25-GAL with SRLV-rp25 groups. Immunoreactivity toward SRLV-rp25 revealed 61% of positive samples from naturally infected goats and sheep.
A heterodimeric hyaluronate lyase secreted by the activated sludge bacteriumHaliscomenobacter hydrossis
Authors: Mori Tomomi , Masuzawa Nozomi , Kondo Keiko , Nakanishi Yuta , Chida Shun , Uehara Daiki , Katahira Masato , Takeda Minoru
Published: December 2022

Haliscomenobacter hydrossis is a filamentous bacterium common in activated sludge. The bacterium was found to utilize hyaluronic acid, and hyaluronate lyase activity was detected in its culture. However, no hyaluronate lyase gene was found in the genome, suggesting the bacterium secretes a novel hyaluronate lyase. The purified enzyme exhibited two bands on SDS-PAGE and a single peak on gel filtration chromatography, suggesting a heterodimeric composition. N-terminal amino acid sequence and mass spectrometric analyses suggested that the subunits are molybdopterin-binding and [2Fe–2S]-binding subunits of a xanthine oxidase family protein. The presence of the cofactors was confirmed using spectrometric analysis. Oxidase activity was not detected, revealing that the enzyme is not an oxidase but a hyaluronate lyase. Nuclear magnetic resonance analysis of the enzymatic digest revealed that the enzyme breaks hyaluronic acid to 3-(4-deoxy-β-d-gluc-4-enuronosyl)-N-acetyl-d-glucosamine. As hyaluronate lyases (EC 4.2.2.1) are monomeric or trimeric, the enzyme is the first heterodimeric hyaluronate lyase.
A benchmark for automatic medical consultation system: frameworks, tasks and datasets
Authors: Chen Wei , Li Zhiwei , Fang Hongyi , Yao Qianyuan , Zhong Cheng , Hao Jianye , Zhang Qi , Huang Xuanjing , Peng Jiajie , Wei Zhongyu
Published: December 2022

Motivation

In recent years, interest has arisen in using machine learning to improve the efficiency of automatic medical consultation and enhance patient experience. In this article, we propose two frameworks to support automatic medical consultation, namely doctor–patient dialogue understanding and task-oriented interaction. We create a new large medical dialogue dataset with multi-level fine-grained annotations and establish five independent tasks, including named entity recognition, dialogue act classification, symptom label inference, medical report generation and diagnosis-oriented dialogue policy.

Results

We report a set of benchmark results for each task, which shows the usability of the dataset and sets a baseline for future studies.

Availability and implementation

Both code and data are available from https://github.com/lemuria-wchen/imcs21.

Supplementary information

Supplementary data are available at Bioinformatics online.
Splitting strategies for post-selection inference
Authors: Rasines D García , Young G A
Published: December 2022

We consider the problem of providing valid inference for a selected parameter in a sparse regression setting. It is well known that classical regression tools can be unreliable in this context because of the bias generated in the selection step. Many approaches have been proposed in recent years to ensure inferential validity. In this article we consider a simple alternative to data splitting based on randomizing the response vector, which allows for higher selection and inferential power than the former, and is applicable with an arbitrary selection rule. We perform a theoretical and empirical comparison of the two methods and derive a central limit theorem for the randomization approach. Our investigations show that the gain in power can be substantial.
Meta-topologies define distinct anatomical classes of brain tumours linked to histology and survival
Authors: Kernbach Julius M , Delev Daniel , Neuloh Georg , Clusmann Hans , Bzdok Danilo , Eickhoff Simon B , Staartjes Victor E , Vasella Flavio , Weller Michael , Regli Luca , Serra Carlo , Krayenbühl Niklaus , Akeret Kevin
Published: December 2022

The current World Health Organization classification integrates histological and molecular features of brain tumours. The aim of this study was to identify generalizable topological patterns with the potential to add an anatomical dimension to the classification of brain tumours. We applied non-negative matrix factorization as an unsupervised pattern discovery strategy to the fine-grained topographic tumour profiles of 936 patients with neuroepithelial tumours and brain metastases. From the anatomical features alone, this machine learning algorithm enabled the extraction of latent topological tumour patterns, termed meta-topologies. The optimal part-based representation was automatically determined in 10 000 split-half iterations. We further characterized each meta-topology’s unique histopathologic profile and survival probability, thus linking important biological and clinical information to the underlying anatomical patterns. In neuroepithelial tumours, six meta-topologies were extracted, each detailing a transpallial pattern with distinct parenchymal and ventricular compositions. We identified one infratentorial, one allopallial, three neopallial (parieto-occipital, frontal, temporal) and one unisegmental meta-topology. Each meta-topology mapped to distinct histopathologic and molecular profiles. The unisegmental meta-topology showed the strongest anatomical–clinical link demonstrating a survival advantage in histologically identical tumours. Brain metastases separated to an infra- and supratentorial meta-topology with anatomical patterns highlighting their affinity to the cortico-subcortical boundary of arterial watershed areas.Using a novel data-driven approach, we identified generalizable topological patterns in both neuroepithelial tumours and brain metastases. Differences in the histopathologic profiles and prognosis of these anatomical tumour classes provide insights into the heterogeneity of tumour biology and might add to personalized clinical decision-making.