Miracle-dz/UniFAR-FTUs huggingface dataset:
HYDROGEN: THERAPEUTIC POTENTIAL IN WELLNESS AND MEDICINE

Persistent oxidative stress plays an important role in a variety of pathologies, and the search for an effective and well tolerated antioxidant agent continues. Molecular hydrogen acts as a therapeutic antioxidant by selectively reducing cytotoxic oxygen radicals. The non-specific mechanism of hydrogen as a therapeutic antioxidant gives it broad therapeutic potential across a wide range of medical applications, as has been shown by a substantial volume of preclinical data, as well as a growing body of clinical evidence. This review provides an overview of the therapeutic potential of hydrogen, in ageing and wellness applications as well as medical applications, including acute ischemia/reperfusion injury, inflammation and ulceration, metabolic disorders, neurodegenerative disorders, and cancer (anti-cancer effects, radiation toxicities, and side effects of cisplatin) with an emphasis on clinical data. Overall, this review shows that hydrogen is an effective antioxidant, anti-inflammatory and cytoprotective agent.
A KPI for Local Community Impact of the ULCOS technologies

This paper presents a part of work developed inside the ULCOS project, which aims at the radical reduction of CO 2 emissions from iron and steel production, through new routes that must be sustainable, i.e. environmentally-friendly, economically viable and socially acceptable. In order to demonstrate their sustainability, Key Performance Indicators are the main tools developed inside the work package 9.4, “Sustainability Model & Process Selection Tool”, which aims at making complex issues more manageable. Key Performance Indicators (KPIs) are the most useful tools for evaluating and managing not only the environmental and economic impacts, but also the social impacts. The assessment of social aspect of sustainability must be taken into consideration, nevertheless the prediction of social impacts is often hard to be done, not only because of the lack of a clear cause-effect relationship but also because of the difficulty to analyse and to predict social phenomena, especially through a quantitative approach. The purpose of this work is to present a methodology, based on both quantitative and qualitative approaches, carried out in order to develop the social indicator (Local Community Impact Indicator), which has primarily taken into account possible impacts of a current integrated steelworks on the communities within the close vicinity of the plant operations.
Vascular Endothelial Growth Factor (VEGF) -460C/T (rs833061) Gene Polymorphism as a Risk Factor for Diabetic Retinopathy in Type 2 Diabetes Mellitus in Bali

Introduction: Diabetic retinopathy (DR) is a microvascular disorder of the retina caused by hyperglycemia in the blood vessels and is the most common complication in the eye due to diabetes mellitus (DM). The aim of this study was to determine the VEGF -460C/T gene polymorphism as a risk factor for diabetic retinopathy in T2DM patients in Bali. Materials and Methods: The design of this study was case-control with 27 cases of type 2 DM with DR and 29 cases without RD as controls. The VEGF-460C/T polymorphism in DNA was detected using PCR and DNA sequencing at rs833061 to see the distribution of the C/T allele variation. Data were analyzed using chi-square test. Results: Based on bivariate analysis comparing homozygous TT genotype variants, heterozygous CT and wild-type CC in this study, no significant relationship was found with the incidence of DR (p=0.742). Conclusion: Polymorphism of the VEGF-460C/T gene (rs833061) can be concluded as an irrelevant factor with the risk of developing DR in type 2 diabetes mellitus patients in Bali. Keywords: VEGF -460C/T, Diabetes Mellitus, Polymorphism, Risk Factors.
Optab: Public code for generating gas opacity tables for radiation hydrodynamics simulations

We have developed a public code, Optab, that outputs Rosseland, Planck, and two-temperature Planck mean gas opacity tables for radiation hydrodynamics simulations in astrophysics. The code is developed for modern high-performance computing, being written in Fortran 90 and using Message Passing Interface and Hierarchical Data Format, Version 5. The purpose of this work is to provide a platform on which users can generate opacity tables for their own research purposes. Therefore, the code has been designed so that a user can easily modify, change, or add opacity sources in addition to those already implemented, which include bremsstrahlung, photoionization, Rayleigh scattering, line absorption, and collision-induced absorption. In this paper, we provide details of the opacity calculations in our code and present validation tests to evaluate the performance of our code.
The effect of platelet-rich plasma on chondrocyte healing in traumatic dislocation of the hip in a rat model

1 Department of Orthopedics and Traumatology, Ceylanpinar State Hospital, Ceylanpinar, Sanliurfa, Turkey 2 Department of Orthopedics and Traumatology, Gaziantep University Sahinbey Research and Practice Hospital, Gaziantep, Turkey 3 Department of Physiology, Gaziantep University Medical Faculty, Institute of Health Science, Gaziantep, Turkey 4 Department of Pathology, Gaziantep University Sahinbey Research and Practice Hospital, Gaziantep, Turkey
Environmental Perpetuity Cost and Earning Yields of Oil and Gas Marketing Firms: Nigeria’s experience

The study examined the environmental perpetuity cost and earning yields of oil and gas marketing firms: Nigeria’s experience. Its main objective was: to specifically examine the extent to which environmental perpetuity costs influence earning yields of oil and gas marketing firms taking evidence from Nigeria. To achieve the objective, an ex-post facto design was employed and relevant data were obtained from secondary source. Multiple regression analytical tool was used to analyse the data in order to verify the hypotheses formulated for the study. The findings indicated that donations as a perpetuity cost positively influences earning yield though the influence is not a very strong one; support/social cost to destitute and less privileged significantly affect earnings per share; support to motherless babies’ homes and others significantly affect earnings per share; and donations/ social cost to nongovernmental organization significantly affect earnings per share. The researchers then recommended that government should encourage listed firms to disclose their donations which will strengthen the earning per share of these firms via increased employee productivity.
Torque Ripple Reduction of Switched Reluctance Motor with Non-Uniform Air-Gap and a Rotor Hole

A switched reluctance motor has a very simple structure which becomes its key signature and leads to various advantages. However, because of its double saliency and switching principle, the motor is also known to have a relatively high torque ripple, and this hinders its use as a high-performance drive. In this paper, a method to reduce torque ripple while maintaining average torque is introduced. Two elements are used to achieve this, namely, a non-uniform air-gap on the rotor-pole face and one hole in each non-uniform region, which maintains the saturation level of the air-gap. This approach preserves the mechanical simplicity of the motor and is easy to implement. Simulations and experiments were performed to verify the effectiveness of the proposed design.
The Application in TheTubular Furnace Control System Based on OPC Technology

In the industry of petrochemical, tubular furnace is a kind of energy-consumption device, therefore it appears especially significant for its controlling. Usually, it adopts kingview software for simple monitoring, which hardly lowers consumption. Moreover, because of the limitation of compiling control arithmetic, it becomes unrealistic for complicated control requirements. While MATLAB is equipped for powerful function of numerical analysis and computing, it can accomplish the designation for the complex intelligent controller and data analysis processing. The two complement each other can realize the real-time control of combining Kingview with MATLAB, but the key technology is to realize the real-communication of them. In this paper, OPC technology based on the standard interface is illustrated, and on this basis, the program of the real-communication between King view and MATLAB based on OPC is introduced. The thesis takes tubular furnace temperature control before and after preheating for example, and finally proves the advantages complementation between kingview and MATLAB, which supplies an efficient path for realizing complex control arithmetic.
All-Sky Cloud Classification Based on Transparency and Texture Features

This paper proposes a new algorithm to classify the cloud of all-sky ground-based based on transparency and texture features. First, we uses the transparency to separate the single sky background and cloud foreground image, which based on the natural matting of perceptual color space method, then analysis the texture features of cloud foreground image with second moment, contrast, correlation and entropy, finally, uses BP neural network to identify the type of the cloud. The experimental results show that the algorithm can separate the sky and cloud effectively, and the cloud classification recognition rate is higher.
Development of thermoelectric inks for the fabrication of printable thermoelectric generators used in mobile wearable health monitoring systems

Power consumption appears to be the biggest technical issue and performance bottleneck in the development of mobile wearable health monitoring systems. One promising approach for addressing this challenge is to harvest the body heat energy using flexible thermoelectric generators, and printing is a low-cost technique for large-scale fabrication of flexible circuits and systems. This paper discusses the development of thermoelectric inks that can be used in the fabrication of thermoelectric generators, which can be used as sustainable power sources for mobile wearable health monitoring systems. The operation mechanism of thermoelectric generators for body heat harvesting is discussed, followed by the requirements on the properties of thermoelectric inks for the fabrication of printable thermoelectric generators. To achieve high thermoelectric figure of merit, we synthesized nano-structured thermoelectric materials with high Seebeck coefficient and low thermal conductivity, and developed surface functionalized carbon nanotubes that can be used as conducting agents for improving the electrical conductivity of thermoelectric inks.
Residential Vulnerability of Barcelona: Methodology Integrating Multi-Criteria Evaluation Systems and Geographic Information Systems

This article presents the methodology and results of a pioneering investigation in the determination and mapping of socio-residential vulnerability in the city of Barcelona according to a multi-criteria synthetic analysis. The methodology followed is based on a system of indicators elaborated from the exploitation of habitual statistical Open Data complemented with specific unprecedented data elaborated and supplied by the Barcelona City Council. The analysis is based on secondary data and it is structured in georeferenced axes, components, and indicators, which allow determination of the sociodemographic, socioeconomic, and urban and residential space characteristics at neighborhood, population census unit, and urban block level. The objective of the research was to detect, determine, and establish a measure of differentiation relative to the degree of residential vulnerability of some neighborhoods with respect to others, in order to seek prioritization measures for action in the most vulnerable areas. The results of the research provide a series of maps that allow us to define the areas where the highest levels of vulnerability indicators coincide according to a synthetic multi-criteria analysis.
Cascaded Multilevel Inverter IM Speed-Sensorless Vector Control System Based on MRAS Theory

Cascaded multilevel inverters could realize high-voltage output based on a series connection of power cells which use standard low-voltage component configurations. This characteristic could achieve high-quality output voltage waveforms and input current waveforms. These merits are made for motor control, especially in the field of speed-sensorless vector control of induction motor based on the theory of MRAS. This paper constructs a simulation system with the help of MATLB/SIMULINK and a system combined cascaded H-bridge multilevel inverter with induction motor with the help of DSP and FPGA. The simulation and experiment results verified the superiority of cascaded multilevel inverter applied on the MRAS speed-sensorless vector control of induction motor.
Fogbél eredetű őssejtek hatása a titánimplantátumok osszeointegrálódására patkány farokcsigolya-modellben

Az elmúlt évtizedben számos reménykeltő, sikeres kísérlet történt nagyobb kiterjedésű csonthiányok gyógyítására őssejtekalkalmazásával. Az implantátumok osszeointegrációjának őssejtekkel történő elősegítését illető ismereteink ugyanakkorsporadikusak. Kutatócsoportunk számos korábbi munkájában foglalkozott fog eredetű őssejtkultúrák jellemzésével,elsősorban in vitro körülmények között. Emellett patkány farokcsigolyában a közelmúltban kifejlesztettünk egy kvantitatívmódon követhető osszeointegrációs modellt. Jelen vizsgálatunk célja volt megismerni, hogy az implantátumokosszeointegrációját hogyan befolyásolják az implantátum és csont közé bejuttatott patkányfog eredű mesenchymalisőssejtek (DPSC) differenciálatlan, illetve oszteogén irányba elődifferenciáltatott állapotban. Eredményeink szerint az implantátumés csont közé beékelődött differenciálatlan pulpasejtek lassítják az implantátum integrációját. Ezzel szembenaz oszteogén irányba elődifferenciáltatott DPSC sejtek már nem rontják az osszeointegrációt. Eredményeink arra utalnak,hogy a mesenchymalis őssejtek alkalmazásának sikere nagyban függ az alkalmazás körülményeitől, különösen isa vivőanyagok és oszteogén komponensek együttes alkalmazásától.
The role of vitamin D deficiency and elevated inflammatory biomarkers as risk factors for the progression of diabetic nephropathy in patients with type 2 diabetes mellitus

Abstract Diabetic nephropathy (DN) is the leading cause of end-stage renal disease worldwide. Albuminuria is the most sensitive marker for the early recognition of DN. Therefore, we aimed to study the risk factors of albuminuria as a marker of DN among diabetic patients. The study included 41 patients with type 2 diabetes mellitus (T2DM), 50 type 2 diabetic nephropathy (T2DN) patients with macroalbuminuria, 43 T2DN patients with microalbuminuria and 38 healthy controls. Logistic regression was used to detect the most significant risk factors for albuminuria. A high statistically significant difference was found between the groups regarding age, sex, body mass index (BMI), diabetes mellitus (DM) duration, glucose, glycated haemoglobin (HbA1c), creatinine, glomerular filtration rate (GFR), lipid profile, tumour necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), C-reactive protein (CRP), the albumin–creatinine ratio (ACR), vitamin D, total parathyroid hormone (PTH), urea, total calcium and chemerin (p < 0.001). It was found that the duration of DM, BMI, glucose, GFR, total cholesterol (TC), low-density lipoprotein (LDL), TNF-α, IL-6, CRP, ACR, vitamin D, PTH and chemerin are significant albuminuria risk factors in DN. Vitamin D deficiency and associated inflammatory mediators such as chemerin, TNF-α, IL-6 and CRP are the most essential risk factors for albuminuria in T2DM patients.
Advances in single‐cell sequencing and its application to musculoskeletal system research

In recent years, single‐cell sequencing (SCS) technologies have continued to advance with improved operating procedures and reduced cost, leading to increasing practical adoption among researchers. These emerging technologies have superior abilities to analyse cell heterogeneity at a single‐cell level, which have elevated multi‐omics research to a higher level. In some fields of research, application of SCS has enabled many valuable discoveries, and musculoskeletal system offers typical examples. This article reviews some major scientific issues and recent advances in musculoskeletal system. In addition, combined with SCS technologies, the research of cell or tissue heterogeneity in limb development and various musculoskeletal system clinical diseases also provides new possibilities for treatment strategies. Finally, this article discusses the challenges and future development potential of SCS and recommends the direction of future applications of SCS to musculoskeletal medicine.
Supervisory Decision-Making

Supervisory Decision-Making (SDM) refers to human supervision of several semi-autonomous (nonhuman) systems in a collaborative manner to accomplish a goal. This study defined SDM and distinguished it from traditional supervisory control and decision-making. An examination of diverse literature in organization design, biology, robotics, innovation diffusion, and trust in automation, yielded no directly applicable or comprehensive models. Field observations were made of large-scale war-games, where operators interacted with semi/autonomous sensors and defense-management systems. Four cognitive models were subsequently developed describing 1) adaptive partnering with automation, 2) technology adoption, 3) trust in automation, and 4) dealing with advice from decision aids. The latter quantitatively models individual, dynamic decisions to accept or reject recommendations made by automated battlespace advisors. The anticipated benefits of this work include more effective human-robot coordination, communication, the identification of experiments, and ultimately design guidelines for robotics, intelligent software agents, intelligent transportation systems, and space exploration.
System size and cost structure of transit industry

Knowledge of the cost and production structure of transit systems can be instrumental in uncovering an array of important information regarding their operation. Optimal fleet size and pricing, average and marginal cost, and the potential for success of deregulation and privatization efforts can be addressed successfully when the cost structure of transit systems is known. Research on the cost structure of mass transit systems using panel data frequently shows conflicting results with respect to issues such as economies of scale and density, and factor substitution elasticities. In this analysis the authors extend prior research in two significant directions. First, they control for cross-sectional heterogeneity that may otherwise seriously bias the resulting parameter estimates. Second, they make an explicit effort to capture differences in the economies of scale between large, medium, and small transit systems. Based on panel data for fixed-route public transit systems, the results indicate that transit services are characterized by a nonhomothetic production function, exhibiting returns to density and scale that depend on the size of the transit firm.
Increasing Causal Effects of El Niño–Southern Oscillation on the Future Carbon Cycle of Terrestrial Ecosystems

Here we examine the causal effects of El Niño–Southern Oscillation (ENSO) on the global carbon cycle over historical and future periods utilizing datasets from the Coupled Modeling Intercomparison Project Phase 6 models. Our results show that ENSO exhibits impact on terrestrial carbon fluxes and carbon storage over numerous regions of Asia, Oceania, and America. High consensus is found between models for the influences of ENSO over these regions. The results demonstrate that the effects of ENSO on carbon cycling over subtropics and high‐latitude regions may be more significant than previously understood. In historical simulation, the regions affected by ENSO account for approximately 8.5% land‐area and this proportion rises to approximately 11.7% in the future simulation, indicating an increase in ENSO influences on the gross primary productivity of terrestrial ecosystems. In addition, the results emphasize stronger response of seasonal carbon stocks to ENSO compared to that of seasonal carbon fluxes.
Class-F power amplifiers with maximally flat waveforms

Class-F power amplifiers (PA's) employ harmonic-frequency resonators to shape their drain or collector waveforms to improve efficiency. Generally, the output network must present the drain with either an open or short circuit at the harmonic frequencies. At VHF and higher frequencies, the drain capacitance, lead inductance, lead length, and dispersion make implementation of reasonably ideal tuned circuits difficult. However it is possible to control the impedances at a finite number of harmonics. This note first derives the basic relationships among the Fourier coefficients of the waveforms and the performance of the amplifier. Fourier coefficients for maximally flat waveforms are then derived for inclusion of up to the fifth harmonic. Amplifier performance is then tabulated as a function of which harmonics are included in the voltage and current waveforms. Efficiency increases from 50% of class A toward 100% as harmonics are added. Power-output capability increases by up to 27%.
Persepsi Guru IPA Terhadap Pembelajaran STEM

The STEM approach is a tool to face the 21st century as well as a tool to improve the quality of science learning in Indonesia. The purpose of this study was to explore the perception of science teachers on STEM-based science learning. The research subjects were 40 MGMP science teachers in Surakarta and Karanganyar. This research is a case study research. The instrument used is a questionnaire. The results showed that the perceptions of science teachers were: a) The majority of science teachers still did not understand STEM; b) STEM is learning approach that combines aspects of science, technology, mathematics and engineering; c) Scientific forums such as seminars, workshops, and training and education are the main sources of STEM promotion for science teachers; d) The majority of science teachers have the perception that STEM is useful in improving 21st century skills; e) Teachers are very interested in applying STEM in learning. This is evidenced by 85% of respondents have implemented STEM learning in their learning design; f) STEM is a learning approach that is relevant to the 2013 curriculum and 21st century learning; g) the majority of science teachers still find it difficult to implement STEM learning. The study of teachers' perceptions of learning plays an important role in formulating ideas for teacher professional development programs. The program must match the teacher's needs in terms of content and pedagogical knowledge to implement STEM learning in the classroom.
Security-Risk Management of Beijing Subway Network Operation

With new subway lines being continuously put into operation, as well as the scale of the line network increasing gradually, the Beijing subway has entered into an era of network operations. Networking operation is not only an opportunity but also a great challenge for the development of the subway. Compared to a single line operation, the risk of a networking operation stage embodies many new characteristics. With a view of keeping the whole network operating safely, combined with the experience of security management of Beijing subway networking operation and based on the analysis of the status and characteristics of the networking operation, this essay constructs a security-risk management system for Beijing subway networking operations from the following aspects: security-risk management organizing framework, security-risk management system, security-risk management methods and other aspects taken into consideration. The security risk analysis focuses on the threats which might be faced during the Beijing subway networking operations, such as the impact of large passenger flow, fire, terrorist attack and vehicles equipment. Thus, we propose some control strategies and measures for the security risk management of Beijing subway networking operations.