Miracle-dz/UniFAR-FTUs huggingface dataset:
3-D Physical Electro-Thermal Modeling of Nanoscale Y2O3 Memristors for Synaptic Application

Here, we report the physical electro-thermal modeling of nanoscale Y<sub>2</sub>O<sub>3</sub>-based memristor devices. The simulation is carried out by the combined software package of COMSOL Multiphysics and MATLAB. The presented physical modeling is based on the minimization of free energy at an applied voltage. The simulated results exhibit a stable pinched hysteresis loop in resistive switching (RS) response in multiple switching cycles. The RS responses show low values of coefficient of variability (<inline-formula> <tex-math notation="LaTeX">${C}_{V}$ </tex-math></inline-formula>), i.e., 17.36% and 17.09% in SET and RESET voltages, respectively, during cycle-to-cycle variation. The impact of voltage ramp rate (<inline-formula> <tex-math notation="LaTeX">${V}_{RR}$ </tex-math></inline-formula>) on the device characteristics such as switching response and synaptic plasticity behavior of the device is investigated. The simulated outcomes significantly depict the impact of oxide layer thickness on the switching voltages in the nanoscale device.
Psicometría, subjetividad y redes sociales: el estudio del lenguaje en Facebook

Con el uso de redes sociales y las big data, la psicometría ha implementado estudios que buscan medir el comportamiento de los individuos a través de mecanismos digitales. La operación realizada por este tipo de trabajos consiste en generar perfiles que permitan predecir y clasificar a los sujetos. Los métodos y procedimientos de estas mediciones están basados en la correlación entre signos y huellas alojados en bases de datos y valores que se les asignan y que dan cuenta de rasgos medibles. Lo problemático de estos análisis radica en que se producen afectaciones a la subjetividad, al menos, en dos aspectos: los perfiles generados subsumen a los individuos en dividuos y las subjetividades deben acoplarse a una normalidad. El presente artículo muestra todo ello a través del caso de una medición psicométrica del uso del lenguaje en mensajes instantáneos vía Facebook.
Model Predictive Control With Duty Cycle Optimization and Virtual Null Vector for Induction Generator With Six Switch Converter

The incorporation of duty cycle optimization in the finite control set model predictive control increased its advantages, improving its steady-state performance and maintaining its fast dynamics. However, duty cycle optimization depends on the application of a null vector alongside the optimal vector, and some converters do not have a null voltage vector inherently. This is the case of the six-switch converter, a reduced switch count converter that replaces the back-to-back converter with only 50% of the number of switches, and whose union with predictive control has been little exploited. This article develops a model predictive control with duty cycle optimization for a variable speed turbine wind power system with the six-switch converter (SSC) connected to the grid and a squirrel cage induction generator (SCIG). Calculations are performed by the means of a virtual null voltage vector properly applied to the system. Experimental results show the proposed control technique improved the steady-state performance of the system, with lower torque ripples, active power ripples, and current total harmonic distortion, certifying the controller as a feasible technique for the application.
Procalcitonin (PCT) level as a biomarker of post operative complication after major gastrointestinal Surgery: Comparable or better than c-reactive protein (CRP)

C-reactive protein (CRP) has been announced as a new biomarkers parameter of post operative complication and already been used widely in the routine clinical practice although it might be could not supported in the tertiary hospital especially in the developing countries. Early studies reported the sensitivity and specifity of the CRP level is a better prognostic factor than WBC level alone in predicting the post operative morbidity after major gastrointestinal surgery. Anastomosis leak was reported in 7 to 10% of resection during major gastrointestinal surgery (resection of colorectal cancer). In the early phase of anastomosis leak, clinical finding usually could not specific enough in diagnosed this complication and sometimes has been misdiagnosed as post operative pain. Nowadays, there are many biomarkers has been announced as post operative complication parameter, one of the promising biomarker is procalcitonin (PCT).
Throwing Copper Around: How Plants Control Uptake, Distribution, and Accumulation of Copper

Copper (Cu) is essential to plants but can also be harmful due to Fenton chemistry. Because of that, it is necessary to keep Cu within a narrow concentration limit. Plants evolved mechanisms to sense Cu and precisely regulate uptake and accumulation to avoid both deficiency and toxicity. However, plants experience variable Cu levels in soils, both due to natural environments as well as human’s-based farming practices that can lead to Cu accumulation in soils. Therefore, we need to understand Cu homeostasis. Here, we review how Cu is found in soils; Cu toxicity responses in plants; the role of Cu transporters, described mainly in model species such as Arabidopsis thaliana and Oryza sativa; the crosstalk between Cu and iron (Fe) homeostasis; Cu hyperaccumulator plants; and discuss some gaps and future directions, which can improve our understanding in the field.
Identification of WRKY transcription factors involved in regulating the biosynthesis of the anti-cancer drug camptothecin in Ophiorrhiza pumila

Abstract Camptothecin is a chemotherapeutic drug widely used to treat various cancers. Ophiorrhiza pumila is an ideal plant model for the study of camptothecin production, with various advantages for studying camptothecin biosynthesis and regulation. The DNA-binding WRKY transcription factors have a key regulatory role in secondary metabolite biosynthesis in plants. However, little is currently known about their involvement in camptothecin biosynthesis in O. pumila. We identified 46 OpWRKY genes unevenly distributed on the 11 chromosomes of O. pumila. Phylogenetic and multiple sequence alignment analyses divided the OpWRKY proteins into three subfamilies. Based on spatial expression and co-expression, we targeted the candidate gene OpWRKY6. Overexpression of OpWRKY6 significantly reduced the accumulation of camptothecin compared with the control. Conversely, camptothecin accumulation increased in OpWRKY6 knockout lines. Further biochemical assays showed that OpWRKY6 negatively regulates camptothecin biosynthesis from both the iridoid and shikimate pathways by directly downregulating the gene expression of OpGES, Op10HGO, Op7DLH, and OpTDC. Our data provide direct evidence for the involvement of WRKYs in the regulation of camptothecin biosynthesis and offer valuable information for enriching the production of camptothecin in plant systems.
Anisotropic magnetoresistance and possible weak antilocalization in Mg3Bi2 single crystal

Kagome compound Mg3Bi2 has recently been proposed as a type-II nodal-line semimetal, which may exhibit novel transport phenomena. We grew Mg3Bi2 single crystals by a Bi flux method and systematically investigated the magneto-transport properties. A large transverse magnetoresistance anisotropy around 20 was observed for I // (00l) at 2 K under a magnetic field of 5 T. The gourd-shaped out-plane angle-dependent magnetoresistance indicates that the Fermi surface has a two-fold symmetry and strong anisotropy. The cusp-like magnetoresistance for I // (0kl) (k = integer, ) at low temperature and low magnetic field shows evidence of weak antilocalization. The magnetoconductance measured at different angle merges together when plotted as a function of at , showing that the domination of topological surface states when .
Estimating Heat Requirement for Flowering in Peach Germplasm

Bloom date (BD) in peach is determined by the dynamic relationship between chilling (CR) and heat requirement (HR) fulfilment during dormancy. Understanding these thermal requirements would enable breeders to adapt new cultivars to variable climates. Among the three traits, HR is the least investigated, with the genetic variability in peach germplasm and interaction between HR, CR and BD still mostly unknown. Therefore, we investigated the HR of 136 peach cultivars over 8 growing seasons (2014–2021) by calculating the growing degree hours (GDH) from the moment their CR was satisfied until full bloom. The HR ranged from 1362 to 10,348 GDH across years and cultivars, with cultivar HR eight-year having the best linear unbiased prediction (BLUP) values from 4808 to 7721 GDH. In addition, a high positive correlation between BD and CR, a negative correlation between CR and HR and a seasonal effect on the correlation between BD and HR were observed. Moreover, simulating HR with different threshold base temperatures (Tb) revealed different trends of GDH accumulation, suggesting that genotype-specific Tb should be determined to allow precise discrimination of this requirement. Peach germplasm showed high variation in HR that could be used in breeding for bloom delay to adapt to different environments and climate change.
Advances in phosphor two-color ratio method thermography for full-field surface temperature measurements

Thermographic phosphors can be employed for optical sensing of surface, gas phase, and bulk material temperatures through different strategies including the time-decay method, time-integrated method, and frequency-domain method. We focus on the time-integrated method, also known as the ratio method, as it can be more practical in many situations. This work advances the ratio method using two machine vision cameras with CMOS detectors for full-field temperature measurements of a solid surface. A phosphor calibration coupon is fabricated using aerosol deposition and employed for in situ determination of the temperature-versus-intensity ratio relationship. Algorithms from digital image correlation are employed to determine the stereoscopic imaging system intrinsic and extrinsic parameters, and accurately register material points on the sample to subpixel locations in each image with 0.07 px or better accuracy. Detector nonlinearity is carefully characterized and corrected. Temperature-dependent, spatial non-uniformity of the full-field intensity ratio—posited to be caused by a blue-shift effect of the bandpass filter for non-collimated light and/or a wavelength-dependent transmission efficiency of the lens—is assessed and treated for cases where a standard flat-field correction fails to correct the non-uniformity. In sum, pixel-wise calibration curves relating the computed intensity ratio to temperature in the range of T = 300–430 K are generated, with an embedded error of less than 3 K. This work offers a full calibration methodology and several improvements on two-color phosphor thermography, opening the door for full-field temperature measurements in dynamic tests with deforming test articles.
Potential Efficiency of Earth Observation for Optimum Fishing Zone Detection of the Pelagic Sardinella aurita Species along the Mediterranean Coast of Egypt

This research utilizes the efficiency of remotely sensed data and advanced digital image processing techniques to assist in monitoring for the management of marine fisheries in Egypt (south Mediterranean Sea region). A newly developed model is applied to the Sardinella aurita fisheries to determine optimal fishing zones, and is then applied to monitor and detect the potentially optimal fishing zones for other locally important and economic fish species. This approach depends on chlorophyll-a (Chl-a) and sea-surface temperature (SST) characteristics that are that known to control this species communities. The ranges and distribution of SST and Chl-a were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) aqua as well as Sentinel-3 satellites during the period from 2018 to 2020. The results revealed that there is a strong link between Sardinella abundance and both the SST and the Chl-a concentration. The suitable months for the abundance of this pelagic fish species were defined to be from May to November, producing 75% of the catch (nearly 42 K tons). Low abundances were recorded during the months from December to April, below the suitable harvest levels for this species. This research highlighted the importance of using satellite data as a tool to help scientists to develop appropriate management strategies for the sustainable management of fisheries resources worldwide.
The Potential Important Role of Mitochondrial Rieske Iron–Sulfur Protein as a Novel Therapeutic Target for Pulmonary Hypertension in Chronic Obstructive Pulmonary Disease

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide, which is often due to pulmonary hypertension (PH). The underlying molecular mechanisms are poorly understood, and current medications are neither specific nor always effective. In this review, we highlight the recent findings on the roles of altered mitochondrial bioenergetics in PH in COPD. We also discuss the central role of mitochondrial reactive oxygen species (ROS) generation mediated by Rieske iron–sulfur protein (RISP) and review the contributions of RISP-dependent DNA damage and NF-κB-associated inflammatory signaling. Finally, the potential importance of mitochondrial RISP and its associated molecules as novel therapeutic targets for PH in COPD are meticulously discussed.
Gender differences in death during hospitalization following a survived suicide attempt in Taiwan from 1998 to 2015: a cross-sectional study

Background : This study examines gender differences in death during hospitalization following a survived suicide attempt. The outcome of death during hospitalization following a survived suicide attempt and yearly rate of suicide attempts ending in hospitalization is examined. Methods : Data on 53,670 hospitalized patients injured by suicide attempt between January 1, 1998, and December 31, 2015, were collected from the National Health Insurance Database. From 1998 to 2015, 24,052 male patients and 29,618 female patients were screened and matched by age, gender, and filing date. Multinomial logistic regression was used to analyze the risk of death in terms of gender differences and suicide and hospitalization. p < 0.05 was considered statistically significant. Results : The risk of death during hospitalization after a survived suicide attempt of hospitalized male suicide patients was 1.694 times that of females (adjusted odds ratio (AOR) = 1.694, 95% confidence interval (CI) = 1.569–1.829). The risk of suicide and hospital death for male patients older than 65 years was 3.608 times that of male patients aged 10–24 years (AOR = 3.608, 95% CI = 2.914–4.468) and 6.648 times that of females (AOR = 6.648, 95% CI = 5.105–8.658). Every 1-point increase in the Charlson Comorbidity Index score of male suicide patients increased the risk of suicide hospital death by 5.6%, which indicates that the number or severity of the complications experienced by hospitalized male suicide patients was higher than that of women. Conclusions : Although men comprised a smaller proportion of hospitalized individuals following a survived suicide attempt, they also arrived in more critical condition and were more likely to die during their hospitalization. The increasing trend of female suicide attempt hospitalization rates is greater than that of males and yearly rate of suicide attempts ending in hospitalization is examined.
Research on the Pros and Cons of the Mouse Model of Alzheimer’s Disease

Alzheimer’s disease (AD) is the biggest cause of dementia, and the animal model has always been a high research priority in treating AD. This paper introduces three generations of AD mouse models by summarizing their merits and limitations in order to facilitate the understanding of these animal models and design more precise experiments in the future. Conclusions can be drawn that the over-expression paradigm of the first generation may cause extra phenotypes which are unrelated to AD, while the second generation overcame this problem but it is still unsuitable to be used in preclinical immunotherapy studies because of the discrete affinity for anti-Aβ antibodies. Finally, the third generation was introduced to the community. Without the Arctic mutation, this generation could also accumulate wild-type human Aβ quickly.
Creatinine and purine derivatives excretion and microbial synthesis in lambs fed rain tree pod meal

ABSTRACT Evaluated the levels of rain tree (Samanea saman) pod meal (RTPM) (0, 10, 15, 20 and 25%) replacing maize in the dry matter of the diet on intake of DM, CP and ME, creatinine and total purine derivatives excretion in urine and microbial protein synthesis in lambs. Twenty-five uncastrated Bergamasca lambs were used, with an initial body weight of 24±5kg and an average age of 120 days. The experimental design was completely randomized, with five treatments and five replications. The trial lasted 84 days and the 24h and spot urine collections were performed in the last day of the experiment. The intake was not affected (P>0.05), the urine volume and daily creatinine excretion were influenced (P<0.05) by RTPM replacing maize, observing increasing linear effect and cubic variation (P<0.05), respectively. The cubic and quadratic components were significant (P<0.05) for the excretion of total purine derivatives, absorbed purines, and microbial synthesis. The cubic variation, with peaks at 5% and 18% replacement for urinary excretion of creatinine and purine derivatives, indicates that the levels used of RTPM affected the renal activity of lambs. Substitution of maize by RTPM up to 10% enhances efficiency of rumen microbial crude protein synthesis.
Product and process Innovation- : A review

Some may believe that innovation is inherited by only those few that the world considers to be creative. However, recent work in the field of innovation and creativity suggests that, while the skill level of creativity and innovation may differ from person to person, the ability of each person to improve personal creativity and innovation can be learned. Therefore, it is conjectured that innovativeness can be learned through the teaching and application of universal innovation principles and processes. This article reviews the field of innovation and distills existing and original theories of innovation into a comprehensive new model called Innovation Harmony. The Innovation Harmony model details four crucial aspects of innovation, which are 1) Harmonize the views of stakeholders, 2) Understand the principles of innovation, 3) Create an environment for innovation, and 4) Apply the principles of innovation (follow a methodology). A methodology for discontinuous innovation - the reinvention of products, processes or services - is set forth for reinventing mature products and processes. The name "discontinuous innovation" was chosen because it illustrates the nature of reinvention- working on the development of a product or process for a time and then waiting until another opportunity arises to work on the product or process again. This is characteristic of the real world in which existing products are reinvented.
The Relations of Empathy and Gender to Aesthetic Response and Aesthetic Inference of Visual Artworks

The relation between empathy and aesthetic experience has been stated early in empirical aesthetics. Aesthetic empathy means the ability to take the perspective of an artwork´s depicted content or form. Nowadays, empathy defines the ability to infer other persons´ mental states and feelings. In this study, we investigated the relationship between empathy and aesthetic response and aesthetic inference abilities. Subjects judged twenty-four visual artworks on an affective, a cognitive, and a beauty dimension, in a Self- and Other-assessment. We analyzed these data in relation to self-judged empathy on four dimensions: emotional and cognitive empathy in fictitious and in real-world situations. Additionally, we considered gender differences in empathy and aesthetic response. Results show (gender-specific) correlations between empathy and aesthetic response and aesthetic inference abilities. This supports the assumption that empathy assists to adopt the perspective of visual artworks as well as to infer the aesthetic preferences of other people.
Design of a Processing Structure of CNN Algorithm using Filter Buffers

We proposed a structure of processing Convolution Neural Network(CNN) algorithm which applied Filter Buffers. Devices of smaller sizes and lower power consumptions are used in smart mobile devices or hardware used in an Intelligent Advanced Driver Assistance Systems. In these cases, it is needed to access external memory for a limited number of Process Elements. We propose the method of increasing the performance of processing by eliminating the unnecessary accesses of external memory. This is a useful algorithm for a parallel processing of an artificial neural network. It has been shown that the ratio of external memory accesses has decreased by 20%, and the processing performance has increased.
Measuring Rice Price Volatility and Its Determinants in Tanzania: An Implication for Price Stabilization Policies

High price volatility in agricultural food markets has a greater impact not only on smallholder farmers but also can affect the incomes and purchasing power of a substantial proportion of the Tanzanian population and decrease food security, especially to the lower middle class. This study applies the ARCH-GARCH and the VAR/VECM models to examine the dynamics and factors influencing price volatility in the domestic rice market. The results of the price volatility analysis show that the volatility of rice prices tends to be low and persistent over the long run. This is supported by the estimation results of factors affecting price volatility, which showed that supply variables play an important role in the short and long run in influencing rice price volatility. The prices in the producing regions (large surplus areas) turned out to be more volatile than the prices in the main consuming regions (large deficit areas). This means that producers are exposed to a much higher price risk than consumers. Thus, a favorable marketing environment for traders and farmers, transparent trade policies, reliable market information, and orga-nized market infrastructure are essential to reduce food price volatility which has a wider impact on economic growth.