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Article ; Online: Structure and Mechanism of the Divalent Anion/Na + Symporter

Min Lu

International Journal of Molecular Sciences, Vol 20, Iss 2, p

2019 Volume 440

Abstract: Integral membrane proteins of the divalent anion/Na + symporter (DASS) family are conserved from bacteria to humans. DASS proteins typically mediate the coupled uptake of Na + ions and dicarboxylate, tricarboxylate, or sulfate. Since the substrates for ... ...

Abstract	Integral membrane proteins of the divalent anion/Na + symporter (DASS) family are conserved from bacteria to humans. DASS proteins typically mediate the coupled uptake of Na + ions and dicarboxylate, tricarboxylate, or sulfate. Since the substrates for DASS include key intermediates and regulators of energy metabolism, alterations of DASS function profoundly affect fat storage, energy expenditure and life span. Furthermore, loss-of-function mutations in a human DASS have been associated with neonatal epileptic encephalopathy. More recently, human DASS has also been implicated in the development of liver cancers. Therefore, human DASS proteins are potentially promising pharmacological targets for battling obesity, diabetes, kidney stone, fatty liver, as well as other metabolic and neurological disorders. Despite its clinical relevance, the mechanism by which DASS proteins recognize and transport anionic substrates remains unclear. Recently, the crystal structures of a bacterial DASS and its humanized variant have been published. This article reviews the mechanistic implications of these structures and suggests future work to better understand how the function of DASS can be modulated for potential therapeutic benefit.
Keywords	membrane protein ; anion transporter ; sodium symporter ; dicarboxylate transporter ; substrate recognition ; sodium coordination ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	333
Language	English
Publishing date	2019-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Access to care through telehealth among U.S. Medicare beneficiaries in the wake of the COVID-19 pandemic

Min Lu / Xinyi Liao

Frontiers in Public Health, Vol

2022 Volume 10

Abstract: BackgroundThe coronavirus disease 2019 (COVID-19) public health emergency has amplified the potential value of deploying telehealth solutions. Less is known about how trends in access to care through telehealth changed over time.ObjectivesTo investigate ... ...

Abstract	BackgroundThe coronavirus disease 2019 (COVID-19) public health emergency has amplified the potential value of deploying telehealth solutions. Less is known about how trends in access to care through telehealth changed over time.ObjectivesTo investigate trends in forgone care and telehealth coverage among Medicare beneficiaries during the COVID-19 pandemic.MethodsA cross-sectional study design was used to analyze the outcomes of 31,907 Medicare beneficiaries using data from three waves of survey data from the Medicare Current Beneficiary Survey COVID-19 Supplement (Summer 2020, Fall 2020, and Winter 2021). We identified informative variables through a multivariate classification analysis utilizing Random Forest machine learning techniques.FindingsThe rate of reported forgone medical care because of COVID-19 decreased largely (22.89–3.31%) with a small increase in telehealth coverage (56.24–61.84%) from the week of June 7, 2020, to the week of April 4 to 25, 2021. Overall, there were 21.97% of respondents did not know whether their primary care providers offered telehealth services; the rates of forgone care and telehealth coverage were 11.68 and 59.52% (11.73 and 81.18% from yes and no responses). Our machine learning model predicted the outcomes accurately utilizing 43 variables. Informative factors included Medicare beneficiaries' age, Medicare-Medicaid dual eligibility, ability to access basic needs, certain mental and physical health conditions, and interview date.ConclusionsThis cross-sectional survey study found proliferation and utilization of telehealth services in certain subgroups during the COVID-19 pandemic, providing important access to care. There is a need to confront traditional barriers to the proliferation of telehealth. Policymakers must continue to identify effective means of maintaining continuity of care and growth of telehealth services.
Keywords	COVID-19 ; telehealth ; access to care ; Medicare ; random forests ; Public aspects of medicine ; RA1-1270
Subject code	310
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Achieving Net Zero—An Illustration of Carbon Emissions Reduction with A New Meta-Inverse DEA Approach

Wen-Chi Yang / Wen-Min Lu

International Journal of Environmental Research and Public Health, Vol 20, Iss 4044, p

2023 Volume 4044

Abstract: To achieve the goal of limiting global warming to 1.5 °C above preindustrial levels, net-zero emissions targets were proposed to assist countries in planning their long-term reduction. Inverse Data Envelopment Analysis (DEA) can be used to determine ... ...

Abstract	To achieve the goal of limiting global warming to 1.5 °C above preindustrial levels, net-zero emissions targets were proposed to assist countries in planning their long-term reduction. Inverse Data Envelopment Analysis (DEA) can be used to determine optimal input and output levels without sacrificing the set environmental efficiency target. However, treating countries as having the same capability to mitigate carbon emissions without considering their different developmental stages is not only unrealistic but also inappropriate. Therefore, this study incorporates a meta-concept into inverse DEA. This study adopts a three-stage approach. In the first stage, a meta-frontier DEA method is adopted to assess and compare the eco-efficiency of developed and developing countries. In the second stage, the specific super-efficiency method is adopted to rank the efficient countries specifically focused on carbon performance. In the third stage, carbon dioxide emissions reduction targets are proposed for the developed and developing countries separately. Then, a new meta-inverse DEA method is used to allocate the emissions reduction target to the inefficient countries in each of the specific groups. In this way, we can find the optimal CO 2 reduction amount for the inefficient countries with unchanged eco-efficiency levels. The implications of the new meta-inverse DEA method proposed in this study are twofold. The method can identify how a DMU can reduce undesirable outputs without sacrificing the set eco-efficiency target, which is especially useful in achieving net-zero emissions since this method provides a roadmap for decision-makers to understand how to allocate the emissions reduction targets to different units. In addition, this method can be applied to heterogeneous groups where they are assigned to different emissions reduction targets.
Keywords	eco-efficiency ; common but differentiated responsibilities (CBDR) ; carbon allocation ; meta-frontier ; specific super-efficiency ; enhanced Russell graph measures ; Medicine ; R
Subject code	338 ; 670
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multi-Node Path Planning of Electric Tractor Based on Improved Whale Optimization Algorithm and Ant Colony Algorithm

Chuandong Liang / Kui Pan / Mi Zhao / Min Lu

Agriculture, Vol 13, Iss 586, p

2023 Volume 586

Abstract: Under the “Double Carbon” background, the development of green agricultural machinery is very fast. An important factor that determines the performance of electric farm machinery is the endurance capacity, which is directly related to the running path of ...

Abstract	Under the “Double Carbon” background, the development of green agricultural machinery is very fast. An important factor that determines the performance of electric farm machinery is the endurance capacity, which is directly related to the running path of farm machinery. The optimized driving path can reduce the operating loss and extend the mileage of agricultural machinery, then multi-node path planning helps to improve the working efficiency of electric tractors. Ant Colony Optimization (ACO) is often used to solve multi-node path planning problems. However, ACO has some problems, such as poor global search ability, few initial pheromones, poor convergence, and weak optimization ability, which is not conducive to obtaining the optimal path. This paper proposes a multi-node path planning algorithm based on Improved Whale Optimized ACO, named IWOA-ACO. The algorithm first introduces reverse learning strategy, nonlinear convergence factor, and adaptive inertia weight factor to improve the global and local convergence ability. Then, an appropriate evaluation function is designed to evaluate the solving process and obtain the best fitting parameters of ACO. Finally, the optimal objective function, fast convergence, and stable operation requirements are achieved through the best fitting parameters to obtain the global path optimization. The simulation results show that in flat environment, the length and energy consumption of IWOA-ACO planned path are the same as those of PSO-ACO, and are 0.61% less than those of WOA-ACO. In addition, in bump environment, the length and energy consumption of IWOA-ACO planned path are 1.91% and 4.32% less than those of PSO-ACO, and are 1.95% and 1.25% less than those of WOA-ACO. Therefore, it is helpful to improve the operating efficiency along with the endurance of electric tractors, which has practical application value.
Keywords	path planning ; ACO ; IWOA ; electric tractor ; Agriculture (General) ; S1-972
Subject code	006
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Efficacy and safety of pulsed radiofrequency for knee osteoarthritis

Kang Wang / Min Lu

Journal of Hainan Medical University, Vol 27, Iss 2, Pp 44-

A Meta-analysis

2021 Volume 50

Abstract: Objective: Systematic evaluation of the effect and safety of pulsed radiofrequency on knee osteoarthritis. Methods: The computer searched the database and searched for randomized controlled trials (RCT) of pulsed radiofrequency treatment of knee ... ...

Abstract	Objective: Systematic evaluation of the effect and safety of pulsed radiofrequency on knee osteoarthritis. Methods: The computer searched the database and searched for randomized controlled trials (RCT) of pulsed radiofrequency treatment of knee osteoarthritis. The search time limit was all established until April 5, 2020. Two researchers conducted literature review review and data extraction, and evaluated the risk of bias in the included studies, using RevMan5.3 software for data analysis. Results: A total of 13 RCTs were included, a total of 853 patients with knee osteoarthritis. The overall efficiency, VAS score, WOMAC score, and Lysholm score of the experimental group in the treatment of knee osteoarthritis were better than the control group, which was statistically significant. Conclusion: Pulse radiofrequency has a clinical effect on knee osteoarthritis, and it is better than some conventional treatments.
Keywords	pulsed radiofrequency ; osteoarthritis ; knee ; meta-analysis ; Medicine ; R
Subject code	796
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Editorial Board of Journal of Hainan Medical University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Cure and death play a role in understanding dynamics for COVID-19

Min Lu / Hemant Ishwaran

PLoS ONE, Vol 16, Iss 7, p e

Data-driven competing risk compartmental models, with and without vaccination.

2021 Volume 0254397

Abstract: Several factors have played a strong role in influencing the dynamics of COVID-19 in the U.S. One being the economy, where a tug of war has existed between lockdown measures to control disease versus loosening of restrictions to address economic hardship. ...

Abstract	Several factors have played a strong role in influencing the dynamics of COVID-19 in the U.S. One being the economy, where a tug of war has existed between lockdown measures to control disease versus loosening of restrictions to address economic hardship. A more recent effect has been availability of vaccines and the mass vaccination efforts of 2021. In order to address the challenges in analyzing this complex process, we developed a competing risk compartmental model framework with and without vaccination compartment. This framework separates instantaneous risk of removal for an infectious case into competing risks of cure and death, and when vaccinations are present, the vaccinated individual can also achieve immunity before infection. Computations are performed using a simple discrete time algorithm that utilizes a data driven contact rate. Using population level pre-vaccination data, we are able to identify and characterize three wave patterns in the U.S. Estimated mortality rates for second and third waves are 1.7%, which is a notable decrease from 8.5% of a first wave observed at onset of disease. This analysis reveals the importance cure time has on infectious duration and disease transmission. Using vaccination data from 2021, we find a fourth wave, however the effect of this wave is suppressed due to vaccine effectiveness. Parameters playing a crucial role in this modeling were a lower cure time and a signficantly lower mortality rate for the vaccinated.
Keywords	Medicine ; R ; Science ; Q
Subject code	330
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Network meta-analysis of 3 kinds of Chinese medicine injection in the treatment of knee osteoarthritis

Fan Zeng / Min Lu

Journal of Hainan Medical University, Vol 27, Iss 13, Pp 41-

2021 Volume 45

Abstract: Objective: To compare the effect of three kinds of traditional Chinese medicine injection (zhengqing fengtongning injection, shenmai injection, cervus and cucumis polypeptide injection) on knee osteoarthritis with the method of Network meta-analysis. ... ...

Abstract	Objective: To compare the effect of three kinds of traditional Chinese medicine injection (zhengqing fengtongning injection, shenmai injection, cervus and cucumis polypeptide injection) on knee osteoarthritis with the method of Network meta-analysis. Methods: Two researchers independently used computers to search for randomized controlled clinical trials of zhengqing fengtongning injection, shenmai injection, or cervus and cucumis polypeptide injection for the treatment of knee osteoarthritis published in CNKI,VIP,WANFANG DATA,CBM and PubMed databases （since the date of database establishment to February 2020）. After the methodological quality of included researches were evaluated, and the valid data were extracted, statistical analysis was performed With RevMan5.3 and R 3.53. Results: There were including 9 RCTs, which involving 720 patients．The results of network Meta-analysis showed that: All three traditional Chinese medicine injections effects are approximately equal. The probability ranking chart shows that Zhengqingfengtongning injection may have the best effect. Conclusions: Three commonly used traditional Chinese medicine injections can effectively treat knee osteoarthritis, of which Zhengqingfengtongning injection is probably the most effective. Due to the small number of literatures included in this study and the single outcome index, we still need to treat the results of this study with caution. It is suggested that more high-quality, long-term follow-up studies should be carried out for this kind of treatment in the future, so as to provide solid evidence support for the popularization of these treatment measures.
Keywords	knee osteoarthritis ; chinese medicine injections ; network meta-analysis ; Medicine ; R
Subject code	001
Language	English
Publishing date	2021-07-01T00:00:00Z
Publisher	Editorial Board of Journal of Hainan Medical University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Economic Optimal Scheduling of Wind–Photovoltaic-Storage with Electric Vehicle Microgrid Based on Quantum Mayfly Algorithm

Ximu Liu / Mi Zhao / Zihan Wei / Min Lu

Applied Sciences, Vol 12, Iss 8778, p

2022 Volume 8778

Abstract: The effectiveness of energy management systems is a great concern for wind–photovoltaic-storage electric vehicle systems, which coordinate operation optimization and flexible scheduling with the power grid. In order to save system operation cost and ... ...

Abstract	The effectiveness of energy management systems is a great concern for wind–photovoltaic-storage electric vehicle systems, which coordinate operation optimization and flexible scheduling with the power grid. In order to save system operation cost and reduce the energy waste caused by wind and light abandonment, a time-sharing scheduling strategy based on the state of charge (SOC) and flexible equipment is proposed, and a quantum mayfly algorithm (QMA) is innovatively designed to implement the strategy. Firstly, a scheduling strategy is produced according to the SOC of the battery and electric vehicle (EV), as well as the output power of wind–photovoltaic generation. In addition, the minimum objective function of the comprehensive operation cost is established by considering the cost of each unit’s operation and electricity market sale price. Secondly, QMA is creatively developed, including its optimization rule, whose performance evaluation is further carried out by comparisons with other typical bionics algorithms. The advantages of QMA in solving the low-power multivariable functions established in this paper are verified in the optimization results. Finally, using the empirical value of the power generation and loads collected in enterprise as the initial data, the mayfly algorithm (MA) and QMA are executed in MATLAB to solve the objective function. The scheduling results show that the time-sharing scheduling strategy can reduce the system’s cost by 60%, and the method decreases energy waste compared with ordinary scheduling methods, especially when using QMA to solve the function.
Keywords	microgrid ; economic scheduling ; clean energy ; quantum mayfly algorithm (QMA) ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Interactions between staphylococcal enterotoxins A and D and superantigen-like proteins 1 and 5 for predicting methicillin and multidrug resistance profiles among Staphylococcus aureus ocular isolates.

Min Lu / Jean-Marie Parel / Darlene Miller

PLoS ONE, Vol 16, Iss 7, p e

2021 Volume 0254519

Abstract: Background Methicillin-resistant Staphylococcus aureus (MRSA) and multidrug-resistant (MDR) S. aureus strains are well recognized as posing substantial problems in treating ocular infections. S. aureus has a vast array of virulence factors, including ... ...

Abstract	Background Methicillin-resistant Staphylococcus aureus (MRSA) and multidrug-resistant (MDR) S. aureus strains are well recognized as posing substantial problems in treating ocular infections. S. aureus has a vast array of virulence factors, including superantigens and enterotoxins. Their interactions and ability to signal antibiotics resistance have not been explored. Objectives To predict the relationship between superantigens and methicillin and multidrug resistance among S. aureus ocular isolates. Methods We used a DNA microarray to characterize the enterotoxin and superantigen gene profiles of 98 S. aureus isolates collected from common ocular sources. The outcomes contained phenotypic and genotypic expressions of MRSA. We also included the MDR status as an outcome, categorized as resistance to three or more drugs, including oxacillin, penicillin, erythromycin, clindamycin, moxifloxacin, tetracycline, trimethoprim-sulfamethoxazole and gentamicin. We identified gene profiles that predicted each outcome through a classification analysis utilizing Random Forest machine learning techniques. Findings Our machine learning models predicted the outcomes accurately utilizing 67 enterotoxin and superantigen genes. Strong correlates predicting the genotypic expression of MRSA were enterotoxins A, D, J and R and superantigen-like proteins 1, 3, 7 and 10. Among these virulence factors, enterotoxin D and superantigen-like proteins 1, 5 and 10 were also significantly informative for predicting both MDR and MRSA in terms of phenotypic expression. Strong interactions were identified including enterotoxins A (entA) interacting with superantigen-like protein 1 (set6-var1_11), and enterotoxin D (entD) interacting with superantigen-like protein 5 (ssl05/set3_probe 1): MRSA and MDR S. aureus are associated with the presence of both entA and set6-var1_11, or both entD and ssl05/set3_probe 1, while the absence of these genes in pairs indicates non-multidrug-resistant and methicillin-susceptible S. aureus. Conclusions MRSA and MDR S. aureus show a different spectrum of ocular pathology than their non-resistant counterparts. When assessing the role of enterotoxins in predicting antibiotics resistance, it is critical to consider both main effects and interactions.
Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Sovereign CDS Premiums’ Reaction to Macroeconomic News

Min Lu / Michele Passariello / Xing Wang

Complexity, Vol

An Empirical Investigation

2021 Volume 2021

Abstract: We assess the efficiency of the sovereign credit default swap (CDS) market by investigating how sovereign CDS spreads react to macroeconomic news announcements. Contrary to the vast majority of the existing literature, one of our main findings supports ... ...

Abstract	We assess the efficiency of the sovereign credit default swap (CDS) market by investigating how sovereign CDS spreads react to macroeconomic news announcements. Contrary to the vast majority of the existing literature, one of our main findings supports the hypothesis that news announcements reduce market uncertainty and, thus, that both better- and worse-than-expected news lower CDS prices during our sample period. In addition, we find that CDS spreads respond differently to the four macroindicators across the three different regions. Our findings might help investors in these areas to interpret the surprises of macronews announcements when making decisions in CDS markets.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Hindawi-Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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