Miracle-dz/UniFAR-FTUs huggingface dataset:
Murine Falcor/LL35 lncRNA Contributes to Glucose and Lipid Metabolism In Vitro and In Vivo

Glucose and lipid metabolism are crucial functional systems in eukaryotes. A large number of experimental studies both in animal models and humans have shown that long non-coding RNAs (lncRNAs) play an important role in glucose and lipid metabolism. Previously, human lncRNA DEANR1/linc00261 was described as a tumor suppressor that regulates a variety of biological processes such as cell proliferation, apoptosis, glucose metabolism and tumorigenesis. Here we report that murine lncRNA Falcor/LL35, a proposed functional analog of human DEANR1/linc00261, is predominantly expressed in murine normal hepatocytes and downregulated in HCC and after partial hepatectomy. The application of high-throughput approaches such as RNA-seq, LC-MS proteomics, lipidomics and metabolomics analysis allowed changes to be found in the transcriptome, proteome, lipidome and metabolome of hepatocytes after LL35 depletion. We revealed that LL35 is involved in the regulation of glycolysis and lipid biosynthesis in vitro and in vivo. Moreover, LL35 affects Notch and NF-κB signaling pathways in normal hepatocytes. All observed changes result in the decrease in the proliferation and migration of hepatocytes. We demonstrated similar phenotype changes between murine LL35 and human linc00261 depletion in vitro and in vivo that opens the opportunity to translate results for LL35 from a liver murine model to possible functions of human lncRNA linc00261.
Fuerza vs. pliometría. Efectos en la velocidad lineal y con cambios de dirección en jugadores jóvenes de baloncesto (Resistance vs. Plyometric training. Effects on linear and changes of direction speed in youth basketball players)

La velocidad es uno de los indicadores clave para el desarrollo atlético del jugador de baloncesto. El objetivo de este estudio fue comparar los efectos que tiene en la velocidad un entrenamiento de fuerza (EF) y otro pliométrico (EP) desarrollados durante ocho semanas en jugadores jóvenes de baloncesto. Para ello, 48 jugadores (16,42 ± 1,13 años) se distribuyeron en tres grupos: EF (n = 16), EP (n = 16) y grupo control (GC) (n = 16). Se evaluó la velocidad lineal en 10 y 20 m, así como la velocidad con cambios de dirección con el test Pro-agility shuttle. Tanto el grupo EF como el EP mejoraron significativamente todas las variables de rendimiento (p < 0,05). EF fue el que obtuvo la mejora más relevante en el tiempo parcial de 10 m (8,92 %; ES = 0,65), mientras que el grupo de EP mejoró en mayor medida en el test Pro-agility shuttle (7,58 %; ES = 0,57). Los hallazgos de este estudio sugieren que en ocho semanas a) tanto el entrenamiento de fuerza como el pliométrico pueden mejorar el rendimiento de la velocidad en jugadores jóvenes de baloncesto, y b) un entrenamiento de fuerza puede incidir más en la velocidad lineal y un entrenamiento pliométrico en la velocidad con cambios de dirección. Abstract. Speed is a key indicator for overall athletic development. The aim of this research was to compare the effects of strength (ST) and plyometric training (PT) for 8 weeks on sprinting speed in youth basketball players. 48 players (16.42 ± 1.13 years) were divided into three groups: ST (n = 16), PT (n = 16) and control group (CG) (n = 16). 10 and 20 m linear sprint, as well as the sprint with change of direction were measured by the Pro-agility shuttle test. Both the strength and plyometric groups significantly improved all performance variables (p < 0.05). The most relevant result in ST was in 10 m split time (8.92 %; ES = 0.65), whereas the PT was in Pro-agility shuttle test (7.58 %; ES = 0.57). The findings of this study suggest that, in eight weeks a) both strength and plyometric training can improve sprinting performance, and b) strength training might well influence on linear speed and plyometric training on speed with change of direction.
Deep Learning-Based Multi-Floor Indoor Tracking Scheme Using Smartphone Sensors

Having recently become an important research topic, indoor tracking in a multi-floor building delivers comprehensive and efficient location-based services. In this paper, we present a deep learning (DL)-based indoor multi-floor tracking scheme, that is independent of infrastructure and only uses the smartphone as a terminal device to measure and analyze the user’s mobility information. Our method detects the floor transition according to changes in barometer readings. We compiled the time-series barometer data to train the DL model, and applied the data augmentation method to avoid overfitting and data imbalances during model training. Furthermore, we developed a floor decision algorithm to process the DL model’s output and generate the floor detection result. In the proposed scheme, the smartphone’s inertial measurement unit sensors are used to measure the user’s mobility information, and pedestrian dead reckoning (PDR) is exploited to update the user’s 2D location. We implemented the multi-floor tracking by combining the floor detection algorithm with PDR. To avoid the accumulated error problem that commonly arises in the infrastructure-free approach, the calibration nodes (CN) were configured in the floor plan to correct the estimated location by matching the possible CNs during the floor transition. We conducted several experiments in multi-floor buildings to evaluate our scheme’s performance, and found that our floor detection method achieves a 99.6% average floor number accuracy, with all floor transition types (i.e., stairs, elevator) being successfully recognized. Furthermore, we compared localization performance with the conventional methods to validate the effectiveness of our approach.
Design of Monitoring System Step Walking With MPU6050 Sensor Based Android

Walking is said to increase endurance, burn calories and improve cardiovascular health. To monitor the steps when walking, we need a tool that is a gyroscope sensor MPU6050. Making this tool uses a gyroscope sensor for monitoring footsteps because Gyroscope is used to measure or determine the orientation of an object based on the provisions of angular momentum. This tool has been tested by foot with a number of different steps. The device test carried out by one person testers.Data obtained from these tests resulting from the detection lower limit value and upper limit value of X axis angle data is used in data processing is the value of the X-axis is converted into a sine wave form chart. To detect footsteps, each wave has the upper value limit is 20o and the bottom value is -20o. Once the step is detected, these measures will be multiplied by the width of the foot when walking, then obtained distance
Genetic Testing in Neurology: What Every Neurologist Must Know

Approximately 80% genes have an active expression in the brain and 40% of known genetic disorders affect the central nervous system. Revolutionary techniques like next-genome sequencing have solved the problem of the diagnostic odyssey in neurological genetic diseases. As several studies have shown the cost-effectiveness of next-genome sequencing compared to the older tests available in our diagnostic armamentarium, it becomes imperative to know about these genetic mutations and the tests available to diagnose them. We have tried to explain the basic concepts of genetics, the selection of available tests and their interpretation for neurophysicians.
Estimation of demand for tea and coffee in Australia

This study attempts to review the basic principles of the consumer demand theory in order to estimate the demand for tea and coffee in Australia. Generally the study of consumer demand theory is important because it can be used in development and production planning. Some of the commonly used systems of demand equations for empirical studies are explained. The study also attempts to explain a habit formation hypothesis and incorporate the hypothesis in the systems of demand equations. On this basis, three models of demand equations with and without habit formation are used to estimate the demand for tea and coffee in Australia. It is shown that none of the models satisfy all the general restrictions imposed on demand equations, since each one has some advantages and some disadvantages. However, through the comparison of these models it is shown that a habit formation model is justified. Tea in the Australian consumption pattern is an inferior good while coffee is a normal commodity. On the basis of the alternative functional forms, it seems that the double logarithmic system is a better model for estimating the demand for a single commodity such as tea or coffee.
Power to the People? Conceptualising Audience Agency for the Digital Journalism Era

Abstract This article proposes a conceptual framework for the concept audience agency, which plays a vital role in the current audience turn in journalism (research). It presents two types of audience agency, deliberate and incidental, and three levels at which they can manifest: the micro level of the individual, the meso level of organised groups and the macro level of collective audiences. While incidental, individual agency is much more commonplace, both media professionals and scholars increasingly aggregate and study – and risk to misinterpret – individuals’ behaviour at a deliberate audience level. Finally, future research avenues are suggested to advance knowledge and debate on audience agency within digital journalism, including studying the concept through editorial, commercial and/or democratic lenses.
Hard X-ray and soft gamma ray properties of cosmic sources

Microquasars provide a unique laboratory to study the accretion process in a compact object, coupled to the ejection of matter in the form of jets. In this thesis we provide a phenomenological perspective on the accretionejection mechanism based on the multi-wavelength observational features covering long term evolution of various sources exhibiting apparently diverse types of characteristics, with special emphasis on the enigmatic X-ray binary system Cygnus X-3.
Piezoresistive Response of Quasi-One-Dimensional ZnO Nanowires Using an in Situ Electromechanical Device

Quasi-one-dimensional structures from metal oxides have shown remarkable potentials with regard to their applicability in advanced technologies ranging from ultraresponsive nanoelectronic devices to advanced healthcare tools. Particularly due to the piezoresistive effects, zinc oxide (ZnO)-based nanowires showed outstanding performance in a large number of applications, including energy harvesting, flexible electronics, smart sensors, etc. In the present work, we demonstrate the versatile crystal engineering of ZnO nano- and microwires (up to centimeter length scales) by a simple flame transport process. To investigate the piezoresistive properties, particular ZnO nanowires were integrated on an electrical push-to-pull device, which enables the application of tensile strain and measurement of in situ electrical properties. The results from ZnO nanowires revealed a periodic variation in stress with respect to the applied periodic potential, which has been discussed in terms of defect relaxations.
Operation of high power cycloconverter-fed gearless drives under abnormal conditions

This paper presents the behavior of large power mills (more than 10 MW each) fed by cycloconverters. Special attention is dedicated to the protection philosophy to avoid operational interruptions which can produce huge production losses and equipment damage. Several failure possibilities are considered: control failure, complete power outage, if a thyristor fails and cannot block reverse voltage, etc. Simulation studies and field measurements show that large currents and torque can occur under certain circumstances and that motor foundations must be able to support them. As a general conclusion, it can be said that proper protective design effectively avoids equipment damage.
Three Essays on VAR Techniques.

This dissertation consists of three essays on vector autoregressive (VAR) models. The first examines lag selection criteria. Typically, in VAR models all variables have the same lag length in each equation. Hsiao (1981) and Keating (1994) suggest two ways to estimate asymmetric lag structures. In a Monte-Carlo framework, we simulate eight prespecified VAR models and observe how the lag specification methods perform. We also look at the impulse response and forecast performances of these lag selection methods. We find that the AIC criterion performs better in finite samples than the SIC criterion, and Keating’s method is superior to Hsiao’s method. In the second part of the dissertation, we employ the Stein-rule estimator to estimate two VAR models, one using quarterly macroeconomic data and another one using monthly macroeconomic data. The forecasts produced by VARs estimated via Stein-rule are contrasted with the forecasts produced by VARs estimated via Bayesian methods and via ordinary least squares (OLS). In general, Bayesian VARs and Stein-rule VARs produce more accurate forecasts than OLS VARs; however, Bayesian forecasts are more expensive and difficult to obtain than either Stein-rule VARs or OLS VARs. We find that usually Stein-rule VARs perform better than Bayesian VARs. The last part of the dissertation estimates VAR models with a discrete variable. The equation with the discrete variable as the dependent variable is estimated using the probit approach. The impulse response function (IRF) and variance decomposition (VDC) produced from VARs partly estimated via the probit approach are contrasted with
Mössbauer study of several cobalt spinels using Co 57 and Fe 57

The M\"ossbauer spectra produced by ${10}^{\ensuremath{-}4}$-at. % ${\mathrm{Co}}^{57}$ and 0.5-at. % ${\mathrm{Fe}}^{57}$ doped in the normal spinels ${\mathrm{Co}}_{3}$${\mathrm{O}}_{4}$, Co${\mathrm{Rh}}_{2}$${\mathrm{O}}_{4}$, Co${\mathrm{Cr}}_{2}$${\mathrm{O}}_{4}$, Co${\mathrm{Mn}}_{2}$${\mathrm{O}}_{4}$, and Zn${\mathrm{Co}}_{2}$${\mathrm{O}}_{4}$ have been obtained. Based on properties of the spinel structure and on correlations with M\"ossbauer data from the natural-iron spinels, these spectra are interpreted in terms of the daughter and impurity iron being located on the tetrahedral and octahedral lattice sites. The charge state of the daughter iron is not always the same as that of the parent cobalt; instead, it is generally that of natural iron in the parallel spinel compounds ${\mathrm{Fe}}_{3}$${\mathrm{O}}_{4}$, Co${\mathrm{Fe}}_{2}$${\mathrm{O}}_{4}$, Fe${\mathrm{Co}}_{2}$${\mathrm{O}}_{4}$, Fe${\mathrm{Cr}}_{2}$${\mathrm{O}}_{4}$, Fe${\mathrm{Mn}}_{2}$${\mathrm{O}}_{4}$, and Zn${\mathrm{Fe}}_{2}$${\mathrm{O}}_{4}$. From this and other evidence, we propose that the daughter-iron's valence is determined primarily by the chemical bonding properties of iron (as distinct from cobalt) in the environment where it is created. Of the several models of spinel crystal chemistry, that of Goodenough and Loeb roughly accounts for our conclusions.
Investigation of active vibration control strategy aiming at global vibration suppression

Active vibration control (AVC) effect of the classical strategy is mainly restricted to a limited region around the error sensor, while the structural vibration at other locations may be dramatically enlarged. The enlargement is non-negligible when the global vibration suppression is considered. Aiming at this enlargement, an indicator is presented to reveal the effect of the classical strategy on the whole controlled structure. By establishing a cost function related with the indicator, an improved AVC strategy is proposed. Utilizing the proposed strategy, an optimized secondary force is obtained to achieve the global vibration suppression. Numerical simulations of AVC are undertaken on a typical plate to verify the superiority of the proposed strategy. Results demonstrate that the proposed strategy is still effective to achieve the global vibration suppression at frequencies where the classical strategy fails. This performance indicates that the proposed strategy is advantageous for global vibration suppression by attenuating the total input power, which provides more attraction for the actual application of AVC.
Blueprints of an Online Learning Environment for Teaching Complex Psychomotor Skills in First Aid

As most of the life-threatening events, such as heart failure and trauma, occur out-of-hospital, first aid is considered crucial for a victim’s survival chances. Unfortunately, a substantial part of these psychomotor or consciously brain-controlled motor skills are executed poorly or incorrectly due to the inexperience of first aid attendants or low retention after training. Together with an enlarged demand over the past years for first aid skills within the business sector and, corresponding, the tremendous load in teaching hours, this high need for training sessions in first aid led to the development of an online learning environment for psychomotor skills within the domain of Health Sciences. Although online learning environments already exist for teaching cognitive skills, developing one for psychomotor skills is considered challenging as it has not been proven effective yet. What is considered important, however, is to avoid cognitive overload and to maintain learners’ motivation throughout the entire online learning environment. As such, to avoid cognitive overload, the designers used a cognitive instructional model, namely the 4C/ID model, and used it as a framework for their online learning environment. On top, choice options were added to the online learning environment to maintain motivation throughout the process of learning psychomotor skills. The ultimate goal lies in enabling the learner to perform the psychomotor skill fluently in practice. The design process of the online learning environment, the corresponding design challenges, failures, and how they were dealt with are described in detail.
Automatic pick-and-place of 40 microns objects using a robotic platform.

Robotic micro-assembly is one way to manufacture new generation of out of plane and/or hybrid microsystems. This approach requires the study of micromanipulation strategies adapted to the microworld and especially to the surface and adhesion forces. We are focusing our works on the study of robotic assembly methods applied to objects whose size is below 100 micrometers. The handling strategy used is based on a two fingered gripper. In order to reduce the adhesion between the gripper and the manipulated objects specific end-effectors have been developed. Moreover, to improve the release reliability we are using a polymer substrate which induces high adhesion with the objet. Some automatic pick-and-places on objects whose typical size is 40 micrometers have been done (cycle time of 1.8 second). There show the reliability of the proposed approach.
Research on the Influence of FTZ Policy on Regional Economy

China's free trade zone has achieved relatively mature development, showing a trend of extending from the east to the West. Current studies generally believe that the early establishment of the free trade zone will have a positive impact on the near area, so what about the establishment of the third inland free trade zone? In order to study its economic impact, this paper uses DID method to select the annual panel data of Chinese provinces, cities and autonomous regions from 2006 to 2018, from economic growth, foreign trade and freight volume, etc. This paper evaluates the economic effects of three free trade zones in the middle and upper reaches of the Yangtze River, namely, Sichuan, Chongqing and Hubei. According to the functional orientation of the three FTZ, the mechanism of the three FTZ is analyzed qualitatively. In terms of quantitative research, this paper uses the double difference method to analyze the differences in economy, trade and freight volume after the establishment of the free trade zone by analyzing the coefficients of policy variables and their significance. A robustness test was carried out on the impact of the post-policy implementation on the regional economy and foreign trade, and it was concluded that the three provinces had a positive impact on the regional economy and trade. Finally, relevant development suggestions are put forward.
The Average Case Analysis of Algorithms : Multivariate Asymptotics and Limit Distributions

This report is part of a series whose aim is to present in a synthetic way the major methods of «analytic combinatorics» needed in the average--case analysis of algorithms. It develops a general approach to the distributional analysis of parameters of elementary combinatorial structures like strings, trees, graphs, permutations, and so on. The methods are essentially analytic and relie on multivariate generating functions, singularity analysis, and continuity theorems. The limit laws that are derived mostly belong to the Gaussian, Poisson, or geometric type.
Functional Organization of the Gustatory System in the Brains of Ictalurid Catfish: a Combined Electrophysiological and Neuroanatomical Study (Taste, Viscerotopic, Sensory Maps, Forebrain).

62 Introduction. 63 Materials and Methods . 66 Results . 69 Discusssion . 81 References . 88 CHAPTER 3 Abstract . 95 Introduction. 96 Materials and Methods . 98. 95 Introduction. 96 Materials and Methods . 98