Miracle-dz/UniFAR-FTUs huggingface dataset:
Encapsulation of Progesterone-Like Compounds in 10% Liposome Increases Their Concentration in Rats Administered an Injectable Dosage Form of These Compounds

The use of herbal medicine to fill the void in synthetic medicine is very necessary for health lifestyle. Progesterone-like compounds (PLCs) from the extract of the leaves of Dendrophthoe pentandra L. Miq from the subspecies, Benalu Duku (BD), are known to contain beneficial compounds that contain anti-cancer and androgenic substances. The slow release of active compounds can be achieved using slow release vehicles. Liposomes that are small unilamellar vesicles (SUVs) are one of the excipient substances that can be reliably used as a vehicle to achieve timely release of bioactive substances. This study was conducted to demonstrate that encapsulating PLCs in 10% liposomal SUV enables the gradual release of bioactive compounds. Three single doses of 3; 5; 7 mg PLCs-Liposome SUV/100 g per body weight of rats were injected into rats in the trial groups (15 of rats). Thereafter, the plasma concentrations of PLCs were assessed using liquid chromatography electrospray ionization mass spectrometry (LC-ESI MS). The concentrations of PLCs in the trial groups were found to be 1.20 to 2.40 fold higher than those in the control group. Such findings indicate that encapsulating drugs in 10% liposomes can result in a higher drug level in blood than that obtained without drug encapsulation (P<0.05).
Analysis of cointegration and causality relations between gold prices and selected financial indicators: Empirical evidence from Turkey

This paper explores the dynamic relationships between gold prices and selected financial indicators (such as prices, inflation rate, deposit interest rate, exchange rate, and the Istanbul Stock Exchange National 100 index) in Turkey between the 2000-2019 period using the Fourier Toda-Yamamoto causality tests. Firstly, the ADF unit root test is applied to examine the stationary of the variables. Then Gregory-Hansen and Arai-Kurozumi cointegration tests, the Dynamic Least Squares (DOLS) approach, are employed to determine the coefficient size and direction of the variables. The findings reveal that the relationship between the inflation rate and the BIST100 index is positive and significant, while the relationship between interest rates is negative and significant. Also, the relationship between exchange rates is negative and insignificant in the study. Additionally, the impacts of the global economic crisis of 2008, which is used as a dummy variable in the study, on gold prices in Turkey are found to be positive and significant. This study indicates that gold is the safe haven for investors from 2000 to 2019 in Turkey. The findings of this paper might contribute both to investors in Turkey and future research on the determination of gold prices.
A Case for Precise, Fine-Grained Pointer Synthesis in High-Level Synthesis

This article combines two practical approaches to improve pointer synthesis within HLS tools. Both approaches focus on inefficiencies in how HLS tools treat the points-to graph—a mapping that connects each instruction to the memory locations that it might access at runtime. HLS pointer synthesis first computes the points-to graph via pointer analysis and then implements its connections in hardware, which gives rise to two inefficiencies. First, HLS tools typically favour pointer analysis that is fast, sacrificing precision. Second, they also favour centralising memory connections in hardware for instructions that can point to more than one location. In this article, we demonstrate that a more precise pointer analysis coupled with decentralised memory connections in hardware can substantially reduce the unnecessary sharing of memory resources. We implement both flow- and context-sensitive pointer analysis and fine-grained memory connections in two modern HLS tools, LegUp and Vitis HLS. An evaluation on three benchmark suites, ranging from non-trivial pointer use to standard HLS benchmarks, indicates that when we improve both precision and granularity of pointer synthesis, on average, we can reduce area and latency by around 42% and 37%, respectively.
Nano-Encapsulation of Black Rice Yeast Extract with Poloxamer Supporting Matrix

Black rice yeast extract is rich in bioactive compounds that have the potential to be applied in the therapeutic field. Research on nano-encapsulation has a better storage period and protects against damage to bioactive components. Research on nano-encapsulation of black rice yeast extract with a poloxamer supporting matrix has been done in six stages, including (1) black rice yeast preparation and extraction of black rice yeast, (2) optimization of the sonication time on the character of black yeast rice extract (BRY-E) nano-encapsulation, (3) optimization of BRY-E and poloxamer composition supporting matrix, (4) characterization of BRY-E nano-capsule. The results showed that In terms of turbidity level, the best sonication time was 5 minutes which was marked by the smallest decrease in level turbidity during the storage period. The ratio of BRY-E and poloxamer matrix of 1:4 gave the best results, which produced particles with a size of 291 nm and zeta potential of -6.96. The best sonication time is 5 minutes.
Cell wall and cytoskeletal contributions in single cell biomechanics of Nicotiana tabacum

Abstract Studies on the mechanics of plant cells usually focus on understanding the effects of turgor pressure and properties of the cell wall (CW). While the functional roles of the underlying cytoskeleton have been studied, the extent to which it contributes to the mechanical properties of cells is not elucidated. Here, we study the contributions of the CW, microtubules (MTs) and actin filaments (AFs), in the mechanical properties of Nicotiana tabacum cells. We use a multiscale biomechanical assay comprised of atomic force microscopy and micro-indentation in solutions that (i) remove MTs and AFs and (ii) alter osmotic pressures in the cells. To compare measurements obtained by the two mechanical tests, we develop two generative statistical models to describe the cell’s behaviour using one or both datasets. Our results illustrate that MTs and AFs contribute significantly to cell stiffness and dissipated energy, while confirming the dominant role of turgor pressure.
The LcKNAT1-LcEIL2/3 Regulatory Module Is Involved in Fruitlet Abscission in Litchi

Large and premature organ abscission may limit the industrial development of fruit crops by causing serious economic losses. It is well accepted that ethylene (ET) is a strong inducer of organ abscission in plants. However, the mechanisms underlying the control of organ abscission by ET are largely unknown. We previously revealed that LcKNAT1, a KNOTTED-LIKE FROM ARABIDOPSIS THALIANA1 (KNAT1)-like protein, acted as a negative regulator in control of fruitlet abscission through suppressing the expression of ET biosynthetic genes in litchi. In this study, we further reported that LcKNAT1 could also directly repress the transcription of LcEIL2 and LcEIL3, two ETHYLENE INSENSITIVE 3-like (EIL) homologs in litchi, which functioned as positive regulators in ET-activated fruitlet abscission by directly promoting the expression of genes responsible for ET biosynthesis and cell wall degradation. The expression level of LcKNAT1 was downregulated, while LcEIL2/3 was upregulated at the abscission zone (AZ) accompanying the fruitlet abscission in litchi. The results of electrophoretic mobility shift assays (EMSAs) and transient expression showed that LcKNAT1 could directly bind to the promoters of LcEIL2 and LcEIL3 and repress their expression. Furthermore, the genetic cross demonstrated that the β-glucuronidase (GUS) expression driven by the promoters of LcEIL2 or LcEIL3 at the floral AZ was obviously suppressed by LcKNAT1 under stable transformation in Arabidopsis. Taken together, our findings suggest that the LcKNAT1-LcEIL2/3 regulatory module is likely involved in the fruitlet abscission in litchi, and we propose that LcKNAT1 could suppress both ET biosynthesis and signaling to regulate litchi fruit abscission.
Simulation of Kinematic and Dynamic Models of an Underwater Remotely Operated Vehicle

The implementation of the dynamic and kinematic models of an underwater remotely operated vehicle (VideoRay Pro III) in Matlab/Simulink is presented. The system was built as a closed loop configuration where the inputs are the desired bodyfixed velocities or the inertial-frame position and orientation. The block diagram allows for the observation of the UROV states and thrusts exerted by the propellers. The implementation of the VideoRay Pro III models is the initial phase of a research that seeks to establish the instrumentation and computational architecture for the aided inertial navigation of an UROV.
Evaluation of changes in instrumental and biochemical markers of heart diseases in patients with bladder cancer under the condition of intravenous and intravesical doxorubicin administration

Due to the constant increase in morbidity and mortality, bladder cancer remains a pressing problem in modern medicine. Despite the success of chemotherapy, chemotherapy physicians around the world have been concerned about the safety of these drugs for many years. Doxorubicin has been used as an antitumor drug for more than 40 years in various hematological and solid malignancies, however, its toxic effects when administered intravenously to vital organs and organ systems, including the heart, require further research. The aim of our study was to evaluate the manifestations and progression of cardiotoxicity in patients with bladder cancer with systemic and intravesical administration of doxorubicin. The study included 96 patients who were divided into three groups: the first group or the control group patients who had a confirmed diagnosis of first stage bladder cancer, were treated surgically and did not receive doxorubicin; the second group patients who, in addition to surgical treatment, received doxorubicin systemically (intravenously) in a therapeutic dose; the third group patients who received doxorubicin at a dose of 50 mg, locally, by instillation of the drug into the bladder cavity, after prior catheterization with an elastic catheter. ECG data and biochemical markers of myocardial destruction before and after chemotherapy were studied. The study found that systemic serial administration of doxorubicin to patients with bladder cancer causes significant changes in the myocardium after the first course of chemotherapy. A single intravesical instillation of doxorubicin does not cause changes in laboratory and instrumental heart rate.
Metadata of the chapter that will be visualized in SpringerLink

This chapter is the second of the two chapters demonstrating the wide variety of CFD studies in clinical applications presented from leading researchers in their respective fields. This chapter covers the latest research techniques and outcomes in whole lung modelling; Modeling the Effect of Airway Motion Using Dynamic Imaging; and Automatic reconstruction of the nasal geometry from CT scans.
Hippocampal sharp wave-ripples and 1 the associated sequence replay 2 emerge from structured synaptic 3 interactions in a network model of 4 area CA 3 5

Hippocampal place cells are activated sequentially as an animal explores its 15 environment. These activity sequences are internally recreated (“replayed”), either in the same or 16 reversed order, during bursts of activity (sharp wave-ripples; SWRs) that occur in sleep and awake 17 rest. SWR-associated replay is thought to be critical for the creation and maintenance of 18 long-term memory. In order to identify the cellular and network mechanisms of SWRs and replay, 19 we constructed and simulated a data-driven model of area CA3 of the hippocampus. Our results 20 show that the chain-like structure of recurrent excitatory interactions established during learning 21 not only determines the content of replay, but is essential for the generation of the SWRs as well. 22 We find that bidirectional replay requires the interplay of the experimentally confirmed, 23 temporally symmetric plasticity rule, and cellular adaptation. Our model provides a unifying 24 framework for diverse phenomena involving hippocampal plasticity, representations, and 25 dynamics, and suggests that the structured neural codes induced by learning may have greater 26 influence over cortical network states than previously appreciated. 27
Spontaneous outbreak of Yersinia enterocolitica infection and co-infection with Escherichia coli in black-tufted marmosets (Callithrix penicillata)

Yersiniosis is a zoonotic bacterial disease that affects humans and animals, including primates. The aim of the study was to report one case of fatal Yersinia enterocolitica infection and two cases of co-infection with Escherichia coli in captive black tufted marmosets (Callithrix penicillata) in Apucarana, Paraná, south Brazil. The affected animals presented severe diarrhea and progressed to death. Gross examination showed multifocal to coalescing necrosis in the liver, mild diffuse hepatomegaly, mild diffuse necrotizing enteritis, moderate splenomegaly and focally extensive hyperemia of the leptomeninges. Microscopically, the liver lesions comprised multifocal areas of lytic necrosis with intralesional colonies of gram-negative coccobacilli, characterizing a severe, random, multifocal to coalescing necrotizing hepatitis. A moderate multifocal lymphocytic cholangiohepatitis, severe focally extensive mucosal necrosis in the small intestine, and mild multifocal lymphoplasmacytic leptomeningitis in the brain were observed. Two cases of co-infection by Y. enterocolitica and E. coli, and one case by Y. enterocolitica were confirmed through bacterial culture, biochemical characteristics and 16S rRNA. To the best of the author’s knowledge, it is the first report of an infection of Y. enterocolitica and co-infection with E. coli in black-tufted marmosets resulting in diarrhea, septicemia and death .
Three-channel High-precision Optical Detecting Instrument Based on FPGA

In order to detect weak optical signals quickly and precisely,a three-channel high-precision optical detecting instrument based on FPGA was designed.The system uses a very sensitive photomultiplier tube to be the sensor,transform the strength of light to digital pulse signal,then catch the frequency of the pulse which could reflect the strength of the optical signal.Inside the FPGA,a NIOS II soft core was configured to be the central control,μC/OS-II operating system was transplanted to control the key module,LCD,step motor and so on.The system has three channels which could detect three different kinds of reagent,the interference among the three channels was little,the consistency and the system noise was low,greatly improve the detection efficiency.In the real experiment,the instrument was quite sensitive,the linear response was good and the detecting time was short,so it could be an efficient tool in the rapid detection.
Discrete model for 3D motion of helical springs

Large displacements of coiled springs are affected by both contact between coils and geometric non-linearities. The two phenomena also interact with each other and the only technology that efficiently accounts for both is Finite Elements Method (FEM). Such analysis can become very expensive, especially when a great number of elements and contacts are involved, as it is often the case. A discrete 3D model for fast and efficient simulation of non-linear springs is presented. The discrete model is based on equivalent beam theory and each node is associated with a contact region placed on the helix. Thus contact is accounted on its real occurrence and fast non-linear solution procedure is implemented. A study case is presented and comparison with FEM is discussed.
Double Integration Control and Its Application in Single-Phase Shunt Active Power Filter

Double Integration Control (DIC) is proposed to realize the fast real-time voltage tracking of voltage-source inverter. This control strategy only needs one comparator and two integrators with reset in voltage tracking. The DIC strategy can be easily utilized in practical application due to its simplicity. To expand the application range of double integration control, a feed-forward controller based on current detecting is constructed to convert current tracking into voltage tracking. Thus, double integration control can be utilized in shunt active power filter to implement current compensation. And double integration control can suppress the disturbance of DC-link voltage. Because of real-time comparison, the frequency of harmonic brought by double integration control is not constant and covers a full range. Therefore, a time delay is designed with two integrators. This method can make the harmonic frequency generated by DIC in a range beyond low frequency. The harmonics brought by DIC can be easily dealt with passive filter. Double integration control owns fast response, accuracy and robustness. The simulation results show that the proposed control strategy is effective and reliable.
Integrated multi-objective optimisation of the support structure of heliostats in concentrated solar power plants using a genetic algorithm

The optimisation of the support structure of heliostats in concentrating solar power plants is a fundamental task aimed at attempting to reduce the high levelised cost of energy (LCOE) of current configurations. In this work, an integrated multi-objective optimisation framework is presented, which relies on the combination of a lean and fast structural model with a genetic algorithm to simultaneously minimise both the overall mass of the support structure and the mean angle of rotation of the mirror surface, which directly affects the optical efficiency of the component. A particular feature of the proposed framework is that it represents an integrated solution, i.e., it allows to simultaneously optimise the main components of the heliostat support structure, i.e., the pedestal, the truss and the back support structure, assuming they are off-the-shelf components easily available on the market. The optimisation problem is set up selecting as design variables (i) the number of elements in the back support structure and (ii) the relevant characteristics of all the components considered, i.e., section shape and dimensions, according to the components commercial datasheets. At each iteration of the optimisation process, the structural model is fed with the current design variables values and, according to some computed aerodynamic loads, it allows evaluating the displacement and rotation of the points of interest within the mirror surface. An aerodynamic model present in the literature based on experimental wind tunnel tests is used to estimate the wind forces acting on the heliostat as a function both of the mirror inclination angle with respect to the ground and of the wind direction with respect to the mirror orientation. In this work, the proposed methodology is demonstrated on a realistic case study and the results commented in detail, highlighting possible future developments and the limitations of the framework.
JHPPL 25.3-01.Lantz (451-472)

Funding for many mass screening programs for low-income and uninsured populations provides resources for screening tests, yet only rarely does it provide coverage for necessary follow-up diagnostic and treatment services. The National Breast and Cervical Cancer Early Detection Program (NBCCEDP), a federally funded initiative that provides cancer screening to low-income uninsured and underinsured women, covers some diagnostic follow-up tests and no treatment services. We conducted in-depth case studies of seven state programs participating in the NBCCEDP to investigate the strategies and approaches being used to secure diagnostic and treatment services. The results suggest that the program relies on a patchwork of resources—at state and local levels—to provide diagnostic and treatment Journal of Health Politics, Policy and Law, Vol. 25, No. 3, June 2000. Copyright © 2000 by Duke University Press. This research was funded by the Centers for Disease Control and Prevention, Division of Cancer Prevention and Control. Stephen Wyatt, D.D. M. , M.P.H. ; Nancy C. Lee, M.D.; Donna Knutson, M.Ed.; Diane Dunet, M.P.A. ; Jane Schulman, Ph.D.; Lisa Shugarman; and Madelaine Pfahler contributed to the design and implementation of the project. The authors would like to thank the respondents for their participation and insights. JHPPL 25.3-01.Lantz (451-472) 5/12/00 11:50 AM Page 451
Long short-term memory prediction for COVID19 time series

Entire world has been dealing with the number of new Coronavirus 2 or COVID-19 cases. The spread of this severe acute respiratory syndrome has produced many concerns worldwide. Having data related to coronavirus available for tests, novel models for forecasting the number of new cases can be developed. In this paper, a long short-term memory (LSTM) based methodology is applied for such prediction. Here, experimental analysis is performed with the parameters, such as the number of layers and units of the network. The root mean squared error is calculated for data corresponding to the Republic of Serbia, as well as per different continents. The results show that LSTM model can be useful for further analysis and time series prediction.
Supply Chain Risk Management to Supply Chain Performance: A Conceptual Framework Study

The proposed research topic is an analysis of Supply Chain Risk Management to Supply Chain Performance in Malaysia Manufacturers. This research objective is to analyse the effectiveness of Malaysia Manufacturers in practicing SCRM process systematically on different types of risks. The SCRM process involves five steps processes with each process involves unique tool and technique to assist in the decision-making [1, 2]. This is crucial to ensure the organisation has formal process to manage the risk in the format and efficient manner. Furthermore, the organisation employee knowledge capability plays a key role in ensuring the success of SCRM practices. This concern was depicted and analysed that the Malaysia SME automotive industry lacked formal SCRM practices and knowledge resources [3]. Finally, to achieve a complete study of the effectiveness of SCRM practices, we will exam what are the Supply Chain Performance (SCP) outcome that Malaysia Manufacturers are concerning from Strategic, Operational and Tactical perspective.
Examining the uncanny valley effect in virtual character design for digital games

Today, games, where visuality is at the forefront, have similar features with a cinema project in terms of both the content and the technologies used. When the realistic appearance of robots and digital designs that do not fully resemble humans exceeds a point, the images created leave their place to negative emotions such as disgust, fear, and hate. The feeling of disgust emerges when the level of affinity reaches the highest level. The negative mood status which took its place in the literature as an uncanny valley is an important reference for game designers and researchers. Masahiro Mori’s uncanny valley theory about humanoid robots is used by animators and video game designers in the content creation process in video games, every day. In this study, the design evolution of Lara Croft, who has found an important place in the video game world, has been evaluated in terms of exposure to the uncanny valley. This study has used images and videos representing Lara Croft, the strong and smart female icon of the Tomb Raider games. A total of 67 undergraduate students (32 for experiments and 35 as a control group), 34 male (50.7 %), and 33 female (49.3 %), voluntarily participated in this study. In this study, the quasi-experimental design was used with experimental and control groups, since the data collection tool used to compare the experimental and control groups did not allow them to reflect the student’s past game experiences. The findings of this study suggest the following design principles: to use a high polygon count to design attractive, ideal faces that are not spooky.