Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Mining and Analysis of the Compatibility Law of Traditional Chinese Medicines Based on FP-Growth Algorithm

The compatibility law of prescriptions is the core link of TCM theory of “theory, method, prescription and medicine,” which is of great significance for guiding clinical practice, new drug development and revealing the scientific connotation of TCM theory, and is also one of the hot spots and difficulties of TCM modernization research. How to efficiently analyze the frequency of drug use, core combination, and association rules between drugs in prescription is a basic core problem in the study of prescription compatibility law. In this paper, a systematic study was made on the compatibility rules of traditional Chinese antiviral classical prescriptions and the mechanism of traditional Chinese medicine molecules. FP-growth algorithm was used to analyze association rules of 961 classical prescriptions collected and to explore the compatibility rules of traditional Chinese antiviral classical prescriptions. In terms of compatibility law of traditional Chinese antiviral prescriptions, this paper studied the compatibility law of traditional Chinese antiviral prescriptions based on the FP-growth algorithm and made exploratory research on the compatibility law information of 961 traditional classical antiviral prescriptions. Firstly, FP tree was constructed based on the classic recipe data set. Then, frequent item set rules were established, and association rules contained in FP tree were extracted. Finally, the frequency and association rules of antiviral TCM prescriptions were analyzed according to dosage forms (decoction, pill, paste, and ingot). The results show that the FP-growth algorithm adopted in this paper has excellent algorithm performance and strong generalization and robustness in the screening and mining of large-scale prescription data sets, which can provide important processing tools and technical methods for the study of the compatibility rule of traditional Chinese medicine prescriptions.
Reconciling Evaluations of the Millennium Villages Project

Abstract The Millennium Villages Project was an integrated rural development program carried out for a decade in 10 clusters of villages in sub-Saharan Africa starting in 2005, and in a few other sites for shorter durations. An evaluation of the 10 main sites compared to retrospectively chosen control sites estimated positive effects on a range of economic, social, and health outcomes (Mitchell et al. 2018). More recently, an outside group performed a prospective controlled (but also nonrandomized) evaluation of one of the shorter-duration sites and reported smaller or null results (Masset et al. 2020). Although these two conclusions seem contradictory, the differences can be explained by the fact that Mitchell et al. studied 10 sites where the project was implemented for 10 years, and Masset et al. studied one site with a program lasting less than 5 years, as well as differences in inference and framing. Insights from both evaluations should be valuable in considering future development efforts of this sort. Both studies are consistent with a larger picture of positive average impacts (compared to untreated villages) across a broad range of outcomes, but with effects varying across sites or requiring an adequate duration for impacts to be manifested.
Metabolomic Study of Zuojin Pill in Relieving 1-Methyl-3-nitro-1-nitrosoguanidine-Induced Chronic Atrophic Gastritis

The classic prescription Zuojin Pill (ZJP) shows a good therapeutic effect on chronic atrophic gastritis (CAG); it is of great significance to clarify its specific mechanism. Therefore, we explore the mechanism of ZJP on MNNG-induced CAG by integrating approaches. First of all, through the pathological changes of gastric tissue and the expression level of PGI and PGI/II in serum, the expression of inflammation-related factors was determined by RT-PCR to determine the efficacy. Then, UPLC-Q-TOF/MS was used for plasma and urine metabolomic analysis to screen the specific potential biomarkers and metabolic pathway of ZJP in ameliorating CAG and to explore its possible mechanism. ZJP significantly ameliorate the pathological injury of gastric tissue, increase levels of PGI and PGI/II, and reduce the expression level of proinflammatory factors. Through metabolomic analysis, 9 potential metabolic differences were identified and 6 related metabolic pathways were enriched. These findings indicate for the first time the potential mechanism of ZJP in improving CAG induced by MNNG and are of great significance to the clinical development and application of ZJP-related drugs.
ISAR enhancement technology based on compressed sensing

Based on compressed sensing, an inverse synthetic aperture radar (ISAR) enhancement technology is proposed. The ISAR enhanced imaging system is constructed, and then utilising the sparsity of multi-radar signals, the optimum function for point enhancement and edge enhancement is established. Compared with spectral estimation methods, the new processing provides a higher quality ISAR image without the number estimation of scattering centres. Simulation results demonstrate the validity of the proposed processing.
Burnout, Compassion Satisfaction, and Intention to Quit Among Long-Term Care Nursing Assistants in the Time of COVID-19

Context: The COVID-19 pandemic has greatly exacerbated the stress and burden of those employed in long-term care (LTC) facilities due to staff shortages, increased risks on the job, and ever-changing COVID-19 protocol requirements. Objective: This study examines potential differences in pre-COVID-19 and current COVID-19 on burnout, compassion satisfaction, job satisfaction, and intent to quit of nursing assistants employed in LTC facilities. Methods: The sample included 81 nursing assistants employed in LTC facilities across the United States, with data collected prior to ( n = 42) and during COVID-19 related shutdowns ( n = 39). Participants completed the Professional Quality of Life Scale 5 (ProQOL 5), a single-item self-report measure of job satisfaction, and a two-item self-report measure of intent to quit their current employment. Findings: Nursing assistants during COVID-19 reported a higher level of burnout and lower level of compassion satisfaction than nursing assistants pre-COVID-19. However, there were no differences in job satisfaction or intent to quit. Limitations: The study did not measure levels of burnout and compassion satisfaction throughout the entire pandemic. No causal statements can be made regarding the impact of the pandemic on nursing assistant burnout, compassion satisfaction, job satisfaction, or intention to quit. Implications: The results suggest there may be additional factors that influence an individual’s decision to remain employed above and beyond the impacts of burnout and compassion satisfaction that may be unique to the caring professions. Future research might investigate factors that influence an individual’s decision to remain employed as a nursing assistant during periods of increased stress and burnout.
Clinical efficacy and safety of Qingshu Yiqi decoction as a complementary and alternative therapy for COVID-19 with Delta variant

Abstract Background: Qingshu Yiqi decoction combined with general western medicine are important and prevalent recently treatment method of corona virus disease 2019 (COVID-19) with Delta variant, but the efficacy and safety were not clear. This meta-analysis aims to clarify their clinical efficacy and safety thus to provide evidence for clinical application. Methods: We searched Chinese databases CNKI, Wanfang, VIP and English databases PubMed, Cochrane Library, Embase for the current study. The retrieval time was from the establishment to November, 2021. Literature quality was evaluated according to the bias risk assessment criteria of Cochrane Collaboration network. RevMan 5.3 and Stata 12.0 were used to perform this research. Results: The efficacy and safety of Qingshu Yiqi decoction combined with western medicine for COVID-19 with Delta variant were evaluated in terms of total effective rate, TCM syndrome score, negative conversation rate of viral nucleic acid, disappearance rate of clinical symptoms (such as fever, cough, and fatigue), CT improvement, white blood cell (WBC), lymphocyte (LYM) and adverse reaction rate. Conclusion: This study provides reliable evidence-based support for the clinical efficacy and safety of Qingshu Yiqi decoction as a complementary and alternative therapy for COVID-19 with Delta variant. PROSPERO registration number: CRD42021271606.
Research on the Time-Frequency Spillover Effect of High-Frequency Stock Price and Economic Policy Uncertainty

Through the construction of wavelet coherence analysis and frequency-domain spillover framework, this paper makes a comparative study of the volatility spillover effects of international economic policy uncertainty (EPU) on China’s Shanghai and Hong Kong stock market from a time-frequency perspective. To fully reflect the international EPU, this paper selects China, the United States, Australia, and the United Kingdom and uses the monthly EPU index of these countries and regions. China chooses China’s EPU index and Hong Kong’s EPU index. At the same time, the 5-minute high-frequency volatility of the Shanghai Composite Index (SSEC) and the Hang Seng Index (HSI) is selected to represent the Shanghai and Hong Kong’s stock market, respectively. It is found that there are obvious differences between the EPU and the dependence of the stock market in time domain and frequency domain, and the lead-lag relationship between them has time-varying characteristics. Static and dynamic spillover effects play a dominant role in the analysis of medium- and long-term spillover effects. In particular, the EPU and the risk spillover of the Hong Kong stock market are stronger than those of the Shanghai stock market, and the dynamic frequency-domain net risk spillover between them has frequency characteristics, and there are two-way and asymmetric risk spillovers. This provides a certain reference for policy makers to improve the safety management of financial markets and for market investors to optimize their portfolios.
Controller Design of DAB DC-DC Converter for Battery Charger

The DAB converter (Dual Active Bridge Converter) is a DC-DC converter with a simple structure that is widely used as a battery charger. The existing PWM switching method for driving a DAB converter can obtain desired characteristics only in a limited area. In addition, in the control loop composed of the conventional constant current controller (CC) and constant voltage controller (CV), severe chattering and transient phenomena may occur due to mode change between the controllers. To solve these problems, this paper proposes a new PWM switching method and voltage/current control loop with excellent characteristics in a new wide load and wide output voltage range. This paper also proposes a new control algorithm for preventing transformer saturation due to DC current components in the transformer. In addition, to verify the characteristics of the proposed method, a prototype of the DAB converter is fabricated, and its characteristics are verified.
Terrain-Aware Risk-Assessment-Network-Aided Deep Reinforcement Learning for Quadrupedal Locomotion in Tough Terrain

When it comes to the control system of quadruped robots, deep reinforcement learning (DRL) is considered to be a promising solution. Despite years of development in this field, difficulties remain in guaranteeing the action stability of DRL-based quadruped robots’ locomotion, especially in tough terrain. In this paper, a terrain-aware teacher-student controller integrating a risk assessment network (RAN) is proposed to alleviate this problem. During the training phase, the RAN can evaluate the risk level of historical observation or current state and further guide the update of the policy, thereby assisting the policy in selecting better actions and avoid risky ones. Furthermore, the real-time elevation map is transmitted to the controller as visual information, so that it can perceive the terrain to produce higher performance locomotion. With the aforementioned configuration, we enable a robot to traverse various challenging terrain in simulation and bound or trot stably in the real environment.
UWB antenna array for wireless transmission along corridors

A 2‐element elliptical patch antenna array with a bidirectional radiation pattern has been developed for ultra wideband indoor wireless communications. The array is constructed by means of feeding two omni‐directional elliptical patch elements with a 3‐section hybrid power divider. Experimental results show that the array has a stable radiation pattern and low return loss over a broad bandwidth of 64% (3.1–6 GHz). © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 886–890, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23232
Two Decades of Desiccation Biology: A Systematic Review of the Best Studied Angiosperm Resurrection Plants

Resurrection plants have an extraordinary ability to survive extreme water loss but still revive full metabolic activity when rehydrated. These plants are useful models to understand the complex biology of vegetative desiccation tolerance. Despite extensive studies of resurrection plants, many details underlying the mechanisms of desiccation tolerance remain unexplored. To summarize the progress in resurrection plant research and identify unexplored questions, we conducted a systematic review of 15 model angiosperm resurrection plants. This systematic review provides an overview of publication trends on resurrection plants, the geographical distribution of species and studies, and the methodology used. Using the Preferred Reporting Items for Systematic reviews and Meta–Analyses protocol we surveyed all publications on resurrection plants from 2000 and 2020. This yielded 185 empirical articles that matched our selection criteria. The most investigated plants were Craterostigma plantagineum (17.5%), Haberlea rhodopensis (13.7%), Xerophyta viscosa (reclassified as X. schlechteri) (11.9%), Myrothamnus flabellifolia (8.5%), and Boea hygrometrica (8.1%), with all other species accounting for less than 8% of publications. The majority of studies have been conducted in South Africa, Bulgaria, Germany, and China, but there are contributions from across the globe. Most studies were led by researchers working within the native range of the focal species, but some international and collaborative studies were also identified. The number of annual publications fluctuated, with a large but temporary increase in 2008. Many studies have employed physiological and transcriptomic methodologies to investigate the leaves of resurrection plants, but there was a paucity of studies on roots and only one metagenomic study was recovered. Based on these findings we suggest that future research focuses on resurrection plant roots and microbiome interactions to explore microbial communities associated with these plants, and their role in vegetative desiccation tolerance.
Cooperativity and Interdependency between RNA Structure and RNA–RNA Interactions

Complex RNA–RNA interactions are increasingly known to play key roles in numerous biological processes from gene expression control to ribonucleoprotein granule formation. By contrast, the nature of these interactions and characteristics of their interfaces, especially those that involve partially or wholly structured RNAs, remain elusive. Herein, we discuss different modalities of RNA–RNA interactions with an emphasis on those that depend on secondary, tertiary, or quaternary structure. We dissect recently structurally elucidated RNA–RNA complexes including RNA triplexes, riboswitches, ribozymes, and reverse transcription complexes. These analyses highlight a reciprocal relationship that intimately links RNA structure formation with RNA–RNA interactions. The interactions not only shape and sculpt RNA structures but also are enabled and modulated by the structures they create. Understanding this two-way relationship between RNA structure and interactions provides mechanistic insights into the expanding repertoire of noncoding RNA functions, and may inform the design of novel therapeutics that target RNA structures or interactions.
Aircraft Evacuation Simulation: A Developing Method to Improve Aviation Safety

To achieve airworthiness requirements, 90 second certification test is performed to show compliance. Recent development in the application of computer simulation makes it possible to improve aviation safety through aircraft evacuation simulation. The approach can replace the full scale certification demonstration and has attracted extensive interest. Various evacuation models have been developed to simulate evacuation process. This review investigates the modeling theoretical foundation and summaries individual applications in different scenarios. Moreover, a meaningful research field is proposed for further study.
High performance design for InP-based strained-layer quantum well laser diodes

InP-based laser diodes (LDs) play an important role in opto-electronic integrated circuits and optical telecommunication systems. To achieve high performance characteristics, strained-layer multi-quantum well (SL-MQW) structures are commonly used. The authors believe that SL-MQW LDs are one of the useful devices among the low-dimensional devices proposed so far for actual applications. Design guidelines for these high performance devices with regard to low threshold, high-speed modulation, and high-temperature operation, are described based upon an understanding of the underlying physics.
A fixed-frequency quasi-sliding control algorithm: application to power inverters design by means of FPGA implementation

In this paper, a fixed-frequency quasi-sliding control algorithm based on switching surface zero averaged dynamics (ZAD) is reported. This algorithm is applied to the design of a buck-based inverter, and implemented in a laboratory prototype by means of a field programmable gate array (FPGA), taking into account processing speed versus computational complexity trade-off. Three control laws, namely sliding control (SC), fixed-frequency quasi-sliding ZAD and PWM-based control have been experimentally tested to highlight the features of the proposed algorithm. According to the experimental results presented in the paper, the ZAD algorithm fulfills the requirement of fixed switching frequency and exhibits similar robustness properties in the presence of perturbations to those of sliding control mode.
Detection of the Antibiotic TMP in the Water with HPLC-DAD

Thispaper studies the method of detecting antibiotic trimethoprim (TMP) in theenvironment water, sewage and tap water with high performance liquidchromatography –diode array detector (HPLC-DAD). The chromatographic conditionis confirmed that: the stationary phase is ODS, the mobile phase is acetonitrileand methanoic acid aqueous solution of 0.1%（12:88）, the flow rate is 1.5min·L-1; theinjection volume is 5μL，the chromatographic column temperature is 25°C,DAD detection wavelength is 272nm. The experiment result shows that, the linearlydependent coefficient of external standard curve is 0.996, the detection limitis 0.017 mg·L-1, adding standard recovery ranges from 92.6-140.6 ％.
Inactivating microorganisms using a pulsed electric field continuous treatment system

High-voltage pulsed electric fields (PEFs) can be used to inactivate microorganisms in liquids. Applying PEF technology to food pasteurization is a promising nonthermal method, which may radically change food preservation processes and provide consumers with microbiologically safe, minimally processed, fresh-like products. A continuous-flow system in a laboratory-size prototype was constructed for the nonthermal pasteurization of liquid foods with PEF technology. Major components in the prototype include a high-voltage repetitive pulse generator, a coaxial liquid food treatment chamber, a fiber-optic temperature sensing instrument and a data acquisition system. Microbial inactivation tests were conducted in the continuous PEF treatment system. Repetitive high-voltage pulses with an exponential decaying waveshape were applied to the liquid food which was pumped through the treatment chamber. Test microorganisms selected for inactivation were Escherichia coli, Staphylococcus aureus and Saccharomyces cerevisiae. Over 6-order-of-magnitude reductions in the viability of selected microorganisms were achieved while the food temperature was maintained below 40/spl deg/C.
A reactive power management proposal for transmission operators

The management of reactive resources, in particular the generation facilities under control of transmission operators, plays an important role in maintaining voltage stability and system reliability. The current practice of reactive management relies on heuristics and operators' judgments to procure reactive services. Consequently, it lacks a transparent market process and assurance that the procurement costs are the lowest. This paper presents a practical, market-based solution for managing reactive services by transmission operators. Three distinct features for the proposed solution are: (1) obligating generation facilities to provide reactive services in proportion to their active power output; (2) optimizing and integrating the reactive procurement with market operation for least-cost solution; and (3) taking into account the interactions of active and reactive powers for accurate calculation of the lost opportunity costs of generators. The proposed solution further simplifies the modeling and settlement aspects of reactive management. A model process of reactive power management is presented for use by independent transmission operators. A numerical example is also given to illustrate the application of the proposed solution.
Survey of Rechargeable Batteries for Robotic Applications

devices require increasing amounts of power as processors and sensors improve. Unfortunately, battery capacities are increasing at a much slower rate. This is especially an issue in mobile robotics where there is not only an assortment of sensors and processors, but also higher-current actuators that demand a significant amount of power. The required battery weight and size is a bottleneck when attempting to achieve miniaturization or longer operational range. Traditional commercial batteries can quickly become depleted, thus severely limiting the functionality of mobile robots. This paper will explore common commercial as well as several investigational rechargeable battery types. Each battery type will be evaluated for use in robotic applications in order to provide some insight into current and emerging choices for various applications.