Miracle-dz/UniFAR-FTUs huggingface dataset:
miR-125b Disrupts Mitochondrial Dynamics via Targeting Mitofusin 1 in Cisplatin-Induced Acute Kidney Injury

Background: Mitochondria are dynamic organelles whose structure are maintained by continuous fusion and fission. During acute kidney injury (AKI) progression, mitochondrial fission in renal tubular cells was elevated, characterized by mitochondrial fragmentation. It is tightly associated with mitochondrial dysfunction, which has been proven as a critical mechanism responsible for AKI. However, the initiating factor for the disruption of mitochondrial dynamics in AKI was not well understood. Objectives: To explore the molecular mechanisms of mitochondrial disorders and kidney damage. Methods: We established cisplatin-induced AKI model in C57BL/6 mice and proximal tubular cells, and detected the expression of miR-125b by qPCR. Then we delivered miR-125b antagomir after cisplatin treatment in mice via hydrodynamic-based gene transfer technique. Subsequently, we performed luciferase reporter and immunoblotting assays to prove miR-125b could directly modulate mitofusin1 (MFN1) expression. We also tested the role of miR-125b in mitochondrial and renal injury through immunofluorescent staining, qPCR, and immunoblotting assays. Results: miR-125b levels were induced in cisplatin-challenged mice and cultured tubular cells. Anti-miR-125b could effectively alleviate cisplatin-induced mitochondrial fragmentation and kidney injury both in vitro and in vivo. Furthermore, miR-125b could directly regulate MFN1, which is a key regulator of mitochondrial fusion. Our study indicated that miR-125b is upregulated during cisplatin-induced AKI. Inhibition of miR-125b may suppress mitochondrial and renal damage through upregulating MFN1. This study suggests that miR-125b could be a potential therapeutic target in AKI.
A leveling algorithm for an underwater vehicle using extended Kalman filter

Recently, the strapdown Attitude Reference System (ARS) became popular as an economic system for a small, light, low-cost system like an underwater vehicle. The ARS provides attitude information updated from the initial attitude. So, the initial attitude errors have a great effect on the ARS. In this paper, the leveling algorithm for compensating initial attitude errors using inertial sensors and a speed log is presented. The meaning of leveling in this paper is to acquire the two attitude angles of roll and pitch of the vehicle during its motion. The linear system model for the leveling is derived in order to apply extended Kalman filter (EKF) which is known to have many desirable properties. The simulation shows that the leveling algorithm using EKF is adequate by virtue of its property of decreasing attitude errors.
A Review of the Commercially Available ECG Detection and Transmission Systems—The Fuzzy Logic Approach in the Prevention of Sudden Cardiac Arrest

Sudden cardiac death (SCD) constitutes a major clinical and public health problem, whose death burden is comparable to the current worldwide pandemic. This comprehensive review encompasses the following topics: available rescue systems, wearable electrocardiograms (ECG), detection and transmission technology, and a newly developed fuzzy logic algorithm (FA) for heart rhythm classification which is state-of-the art in the field of SCD prevention. Project “PROTECTOR”, the Polish Rapid Transtelephonic ECG to Obtain Resuscitation for development of a rapid rescue system for patients at risk of sudden cardiac arrest (SCA), is presented. If a lethal arrhythmia is detected on the basis of FA, the system produces an alarm signal audible for bystanders and transmits the alarm message along with location to the emergency medical center. Phone guided resuscitation can be started immediately because an automated external defibrillator (AED) localization map is available. An automatic, very fast diagnosis is a unique feature of the PROTECTOR prototype. The rapid detection of SCA is based on a processor characterized by 100% sensitivity and 97.8% specificity (as measured in the pilot studies). An integrated circuit which implements FA has already been designed and a diagnosis is made within few seconds, which is extremely important in ischemic brain damage prophylaxis. This circuit could be implemented in smart implants (Sis).
Public Capita and Growth: The Role of Institutions in Development

This study analyzes the links between public capital and growth using an econometric model of simultaneous equations, estimated on a panel of forty-three developing countries over the period 2003-2020. This growth model explains the determinants of GDP and public and private capital stocks. The accumulation of public, private and human capital generates externalities that are sources of endogenous growth. However, the formation of public capital generated a crowding out effect, to the detriment of that of private capital, because of differentiated budgetary constraints. Our results show that several developing countries have moved away from an optimal structure for the growth of sharing of available capital between the public and private sectors. In doing so, are institutions a prerequisite for the economic development of African countries.
Mutual coupling between metal strip dipole antennas on electrically thick, finite size dielectric substrates

It is demonstrated that the mutual coupling between metal strip dipole antennas on electrically thick, finite size dielectric substrates may be accurately predicted by a finite-element numerical method using large computer resources. The results of the analysis are compared with experimentally determined mutual impedances and show good agreement. Two folded dipole arrays have been considered: the first with the antennas collateral and the second with the antennas collinear. It is shown that, although the antennas are considered to be ideally fed dipoles in the analysis, the results of such an analysis can be used to predict the mutual coupling of a practical antenna element to a high degree of accuracy. Finally, the effect of the central element on the coupling between the outer elements is discussed. <<ETX>>
High-Voltage Large-Current 4H-SiC JBS Diodes

3.3kV and 4.5kV 4H-SiC junction barrier Schottky (JBS) diodes with floating guard rings edge termination have been fabricated. The 3.3kV device with 33μm 2.7E15 cm-3 epilayer and 5. 5Х5. 5mm2 schottky contact area has a blocking voltage (Vb ) of 3.9 kV and a specificon-resistance (Ron) of 10.5 mΩ. cm2, with a forward current measured up to 50A at VF=3.0V. The 4.5kV device with 50 um 1.2E15 cm-3 epilayer and 5. 5Х5. 5mm2 schottky contact area has a blocking voltage (Vb ) of 5.1 kV and a specificon-resistance (Ron) of 22.9 mΩ. cm2, with a forward current of 30A at VF=3.7V.
DG‐based SPO tuple recognition using self‐attention M‐Bi‐LSTM

This study proposes a dependency grammar‐based self‐attention multilayered bidirectional long short‐term memory (DG‐M‐Bi‐LSTM) model for subject–predicate–object (SPO) tuple recognition from natural language (NL) sentences. To add recent knowledge to the knowledge base autonomously, it is essential to extract knowledge from numerous NL data. Therefore, this study proposes a high‐accuracy SPO tuple recognition model that requires a small amount of learning data to extract knowledge from NL sentences. The accuracy of SPO tuple recognition using DG‐M‐Bi‐LSTM is compared with that using NL‐based self‐attention multilayered bidirectional LSTM, DG‐based bidirectional encoder representations from transformers (BERT), and NL‐based BERT to evaluate its effectiveness. The DG‐M‐Bi‐LSTM model achieves the best results in terms of recognition accuracy for extracting SPO tuples from NL sentences even if it has fewer deep neural network (DNN) parameters than BERT. In particular, its accuracy is better than that of BERT when the learning data are limited. Additionally, its pretrained DNN parameters can be applied to other domains because it learns the structural relations in NL sentences.
Ship collision events against reinforced concrete offshore structures

: The number of Floating Offshore Wind Turbines (FOWT) is expected to increase significantly in the coming years to face the challenges of the current global decarbonization policies. The use of materials such as Reinforced Concrete in the floating substructures becomes then attractive for reducing both maintenance and chain manufacturing costs, as seen in different industrial scale prototypes such as Floatgen from BW-IDEOL. The non-linear behavior of plain concrete, in addition to numerical complications related to explicit reinforcement modeling, makes the elastic-plastic calculations of these structural elements particularly chal-lenging. In this work, a numerical study of different constitutive concrete models available in the commercial software LS-DYNA is presented, whose capabilities in modeling flexural and shear failure arising from ship collisions events are tested using structural elements with geometrical and mechanical properties similar to those found in current FOWT prototypes.
Die Problematik einer zuckerreichen Ernährung und alternative Möglichkeiten

Der übermäßige Konsum von Zucker wird weltweit für die Zunahme von Erkrankungen wie Diabetes, Fettleber und Niereninsuffizienz mitverantwortlich gemacht. Die Mundgesundheit ist ebenfalls betroffen, und zwar nicht nur bezüglich des Kariesrisikos, sondern auch durch eine erhöhte Entzündungsneigung der oralen Schleimhäute. Da vor allem versteckter Zucker und Zuckerersatzstoffe eine Rolle spielen, liefert dieser Fortbildungsbeitrag zum einen Grundlagenwissen über den Zuckergehalt und die Zuckerarten in Nahrungsmitteln, zeigt aber auch Möglichkeiten auf, wie die Zuckeraufnahme reduziert werden kann.
A Hybrid Satellite-Terrestrial Approach to Aeronautical Communication Networks

Rapid growth in air travel has been projected to continue for the foreseeable future. To maintain a safe and efficient national and global aviation system, significant advances in communications systems supporting aviation are required. Satellites will increasingly play a critical role in the aeronautical communications network. At the same time, current ground-based communications links, primarily very high frequency (VHF), will continue to be employed due to cost advantages and legacy issues. Hence a hybrid satellite-terrestrial network, or group of networks, will emerge. The increased complexity of future aeronautical communications networks dictates that system-level modeling be employed to obtain an optimal system fulfilling a majority of user needs. The NASA Glenn Research Center is investigating the current and potential future state of aeronautical communications, and is developing a simulation and modeling program to research future communications architectures for national and global aeronautical needs. This paper describes the primary requirements, the current infrastructure, and emerging trends of aeronautical communications, including a growing role for satellite communications. The need for a hybrid communications system architecture approach including both satellite and ground-based communications links is explained. Future aeronautical communication network topologies and key issues in simulation and modeling of future aeronautical communications systems are described.
Low crosstalk planar optical add-drop multiplexer fabricated with UV-induced Bragg gratings

The authors report the performance of an optical add-drop multiplexer made in silica-on-silicon waveguides by writing Bragg gratings in a Mach-Zehnder interferometer. The isolation between the add and the drop channels is better than 50 dB and the crosstalk between two adjacent channels is <-27 dB.
Power optimization of high-efficiency microwave MESFET oscillators

Achieving high output power and efficiency in GaAs MESFET oscillators is mainly hampered by the device's parasitics, its static I-V characteristics, and the circuit embedding impedance. In this paper, the derivation of the relationship between oscillator output power and various circuit and device parameters is presented. From these analytical expressions, optimum operating conditions for maximum oscillator output power and efficiency are determined. The analysis method employed here is based upon a quasi-linear approach and an open-loop model of the oscillator. The design procedure is verified by measurements on an experimental circuit, which have demonstrated a dc/radio-frequency conversion efficiency of 54%.
A Bulk RF MEMS Switch by Silicon-to-GaAs Bonding

A Bulk RF MEMS switch is present in this paper. The beam structure and transmission line are separated fabricated on silicon and gallium arsenide (GaAs) wafer. The beam structure, up electrode, contact and anchor are fabricated on the silicon wafer. And transmission line and down electrode are made on the GaAs substrate. Two parts of the switch are bonded together by wafer bonding using gold layer as seed. The total area of the switch is 600 um X 600 um.
The Rio Salado Basin in Argentina: An Integrated Master Plan

Being close to Buenos Aires and with high production levels in the agriculture sector, the Rio Salado basin is an area which has always attracted investment. During the last century, considerable hydraulic drainage and flood‐alleviation works were carried out to increase agricultural production in the region. However, during the last two decades, the catastrophic effects of flooding and the persistence of low agricultural productivity in most of the area, demonstrate that the interventions (which have been made so far) have been inadequate. Perhaps one of the key factors in the lack of success of historic hydraulic interventions has been the absence of a strategic/ integrated approach. This paper describes the first attempt at integrated river‐basin planning in Argentina.
Application of Genetic Algorithm for Nozzle Parameters Optimization of Waterjet Propulsion System

Waterjet propulsion system have been increasingly used in the world due to its advantage of good maneuverability, operability, less vibration etc. The full understanding of waterjet reaction thrust is the preliminary step for the design of waterjet system. A recent research in this area is optimizing the nozzle structure of waterjet propulsion system to increase the waterjet reaction thrust as much as possible. In order to obtain the optimal parameters of nozzle, a new integrated method combining genetic algorithm with CFD simulation analysis is put forward in this paper. The integrated method will not only shorten the system design cycle, it will also develop optimization technique to realize the potential of computer based design automation. Finally, the optimal results are presented and discuss.
Routing Tankers for Dairy Milk Pickup

Etah Dairy, a unit belonging to Lipton India Ltd. and located in the state of Uttar Pradesh, routes tankers every day to pick up milk from collection centers and deliver it to the dairy. The time between pickup and delivery must not exceed a certain season-specific limit. Through heuristics for route construction and improvement, a decision support system, CARS, finds feasible and cost-effective solutions each day for the milk pickup problem. CARS has been implemented at Etah, and the resulting total annual benefits are projected to be Rs. 1 million.
Anthropogenic influence on compound dry and hot events in China based on
 CMIP6
 models

Funding information National Natural Science Foundation of China, Grant/Award Number: 41601014 Abstract Compared to individual dry or hot events, compound dry and hot events (CDHEs) usually pose more severe economic and societal impacts. A growing body of literature investigates the role of anthropogenic forcing on variations of individual dry and hot events at different spatial scales. However, the attribution of CDHEs in China using model simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6) has received little attention. This study investigates the anthropogenic influence on CDHEs during summer in China and projects their future occurrences using CMIP6 simulations with data from the Climatic Research Unit (CRU) as observations. The results show that large regions of China experienced a significantly increased frequency of CDHEs during 1971–2010 relative to 1931–1970, which is overall captured by the CMIP6 simulations. Anthropogenic forcing is shown to contribute to the high likelihood of CDHEs in recent decades over most parts of China, with remarkable contributions in southwestern regions. Under future socioeconomic development scenarios, these CDHEs are projected to become more frequent in 2021–2100, which will increase by approximately 51.56–55.00% on average compared to that in 1931–2010. This study could aid the development of mitigation strategies of CDHEs across China under global warming.
International Journal of Emerging Electric Power Systems Neuro-Wavelet Approach to Time-Series Signals Prediction : An Example of Electricity Load and Pool-Price Data

Accurate electricity load and pool-price forecasting can provide a set of vital predicted information that helps generation, transmission and retailer participating companies to bid strategically into a deregulated electricity market in order to maximize their profits and increase returns to their stakeholders. Although a number of forecasting methods have been proposed to solve the short-term and long-term electricity load forecast, pool-price forecasting is a relatively new research area. In this article, we propose an autoregressive approach, based on a wavelet multiscale decomposition, for the prediction of one-hour ahead load and pool price based respectively on historical electricity load, and pool-price data. This approach is based on a multiple resolution decomposition of the signal using the redundant Haar à trous wavelet transform whose advantage is taking into account the asymmetric nature of the time-varying data. There is an additional computational advantage in that there is no need to re-compute the wavelet transform (wavelet coefficients) of the full signal if the electricity and pool price data (time series) is regularly updated. We assess results produced by this multiscale autoregressive method, in both linear and nonlinear variants, with single resolution autoregressive, multilayer perceptron, Elman recurrent neural network and the general regression neural network models. The input data consists of historical load and pool price data, which is collected over a period of 3 years (1999-2001), used for training, and 1 year (2002) used for testing. Experimental results are based on the New South Wales (Australia) electricity load and pool price data that is provided by the National Electricity Market Management Company.
Comparison of photocurrent enhancement and upset enhancement in CMOS devices in a medium-energy X-ray environment

Radiation-induced upset levels in SA3001 static random access memories (SRAMs) and SA3246 clock integrated circuits (ICs) have been measured in a medium-energy flash X-ray environment (average photon energy approximately 100 keV), where dose-enhancing effects are very important. By comparing device responses using a non-dose-enhancing ceramic package lid and a dose-enhancing Kovar/gold lid, dose-enhancement factors for photocurrent and upset were generated. The observed upset enhancement factors of 3.0+or-0.5 (SRAM) and 2.2+or-0.2 (clock IC) are in excellent agreement with measurements of photocurrent enhancement factors (2.5+or-0.5) in diodes processed with the same diffusions as the complementary metal-oxide-semiconductor (CMOS) ICs irradiated in a steady-state X-ray environment. These results indicate that upset is dominated by the radiation-induced transient supply current in these ICs, and that steady-state diode photocurrent measurements are a good predictor of both photocurrent and upset enhancement for ICs made with this technology. >
Social Media and Health Care (Part II): Narrative Review of Social Media Use by Patients

Background People are now connected in a borderless web-based world. The modern public, especially the younger generation, relies heavily on the internet as the main source of health-related information. In health care, patients can use social media for more tailored uses such as telemedicine, finding a provider, and for peer support. Objective The aim of this narrative review is to discuss how social media has been used in the health care industry from the perspective of patients and describe the main issues surrounding its use in health care. Methods Between March and June 2020, a review of the literature was conducted on PubMed, Google Scholar, and Web of Science for English studies that were published since 2007 and discussed the use of social media in health care. In addition to only English publications that discussed the use of social media by patients, publications pertaining to ethical and legal considerations in the use of social media were included. The studies were then categorized as health information, telemedicine, finding a health care provider, peer support and sharing experiences, and influencing positive health behavior. In addition, two more sections were added to the review: issues pertaining to social media use in health care and ethical considerations. Results Initially, 75 studies were included. As the study proceeded, more studies were included, and a total of 91 studies were reviewed, complemented by 1 textbook chapter and 13 web references. Approximately half of the studies were reviews. The first study was published in 2009, and the last was published in 2021, with more than half of the studies published in the last 5 years. The studies were mostly from the United States (n=40), followed by Europe (n=13), and the least from India (n=1). WhatsApp or WeChat was the most investigated social media platform. Conclusions Social media can be used by the public and patients to improve their health and knowledge. However, due diligence must be practiced to assess the credibility of the information obtained and its source. Health care providers, patients, and the public need not forget the risks associated with the use of social media. The limitations and shortcomings of the use of social media by patients should be understood.
Research Progress of Traditional Chinese Medicine in Treating Dysphagia After Stroke

Dysphagia is a common complication after stroke, which does not only affect the quality of life of patients, but also increase the risk of death. Traditional Chinese medicine (TCM) treatment has always played an important role in the clinical treatment of dysphagia after stroke, but its mechanism has not been fully elucidated. Literatures on the use of TCM for the disease in the recent 5 years have been reviewed, and the problems existing in the development and treatment of the disease are discussed in this article, in an attempt to provide new ideas for the treatment of the disease. This paper presents a summary of traditional Chinese medicine treatment for the disease in the past five years, including traditional Chinese medicine compound and acupuncture.
Potential drawbacks of component commonality in product platform development

Numerous companies apply product platforms in order to improve their competitiveness due to increasingly challenging market conditions. Product platforms are often motivated by financial goals and a desire to increase commonality in order to achieve economies of scale and scope. However, while a great deal of the previous research describes the benefits of product platforms, the potential drawbacks and disadvantages of commonality are only sporadically covered. The underlying motive for this study is to elaborate on existing knowledge in order to identify areas which deserve particular attention when an organisation is striving for commonality, specifically with regard to components. From an in-depth explorative case study of a major global truck manufacturer, drawbacks are identified and categorised into: 1 strategic 2 technical 3 organisational drawbacks. Furthermore, this study investigates the ways in which different parts of the organisation are affected by component commonality. Finally, it discusses ways in which the identified drawbacks can be counteracted.