Miracle-dz/UniFAR-FTUs huggingface dataset:
Statistical Evaluation of RCM’s Performances in simulation of Climate variables at Upper Awash Basin, Case study of Akaki Catchment

The main focus of this study was to investigate and evaluate the Performance of Four Regional Climate Models irrespective of their capability in simulating mean precipitation and Temperature. In this fact and concern, the evaluation of those climate models was basically on how they simulate mean annual climatology, annual cycle and interannual variability of precipitation, maximum and minimum temperature over the entire catchment. All observed data used for the baseline period of 1980-2006 was obtained from Ethiopian National Meteorological Agency and RCM data was extracted from CORDEX-Africa-44 using grid points. RCM shows significant bias and almost all of them simulate those climate variables' at different levels. In the analysis of the annual cycle of precipitation during the summer season, all RCM was underestimated. However, RACMO22T and RCA4 show better adjustment at the simulation of both precipitation and Temperatures despite their significant bias. The bias was deliberately associated with the higher error in simulating maximum and minimum temperature at the highest topography found at sebeta and Addis Ababa catchments. The inter-annual variability of precipitations and temperature was shown as great evidence where the region is under the impact of climate change specifically when the trend of annual projected temperature shown incremental modality. As far as concern the mean climatology analysis by statistical parameters, almost all models perform nearly equal excluding the seasonal point of view in which RCMs performed quite differently during season analysis. In all aspects and evidence by statistically evaluated output realize that RACMO22T and RCA4 were better performed at upper awash catchments although some of their bias and uncertainty were available. Generally, the performance of Regional climate models was different at different catchments along with the specified locations and topographies. Furthermore, the seasonal analysis over Akaki catchment indicates that climate models were more capable of simulating wet season than dry.
CKS2 Overexpression Correlates with Prognosis and Immune Cell Infiltration in Lung Adenocarcinoma: A Comprehensive Study based on Bioinformatics and Experiments

Objective: Cyclin-dependent kinase regulatory subunit 2 (CKS2) plays a vital role in regulation of the cell cycle and cancer progression. However, the role of CKS2 in lung adenocarcinoma (LUAD) remains unkonwn. Here, we examined the prognostic value and biological functions of CKS2 in LUAD by using omics data of 1,235 LUAD samples from TCGA, GEO, and our own cohort as well as data of in vitro experiments. Methods: Kaplan-Meier was conducted to evaluate the prognostic value of CKS2 expression. The association between CKS2 expression level and tumor immune infiltration was explored using the single-sample Gene Set Enrichment Analysis (ssGSEA) and TIMER database. Functional enrichment analyses were performed to annotate the biological functions of CKS2 in LUAD. Furthermore, a series of in vitro experiments and immunohistochemistry were performed for validation. Results: CKS2 overexpression was correlated with the advanced stage, TP53 status, PD-L1 expression, and DNA hypomethylation. Moreover, patients with LUAD and high CKS2 expression exhibited poor overall survival. Functional enrichment analysis indicated that CKS2 was involved in cell division, cell cycle, DNA replication. Experiments in vitro indicated that CKS2 knockdown decreased the invasion and proliferation of LUAD cells and facilitated their apoptosis. ssGSEA and TIMER analysis revealed a negative correlation between CKS2 expression and the immune cell infiltration. Conclusions: In summary, High CKS2 expression was associated with poor prognosis and low levels of infiltrating immune cells in LUAD as well as with malignant phenotypes. Therefore, CKS2 may be a promising prognostic biomarker and therapeutic target in LUAD.
A Novel Mode Composite Transmission Line based on SSPPs and HMCSIW

A novel mode composite transmission line (MC-TL) is proposed. The MC-TL integrates spoof surface plasmon polaritons (SSPPs) into half mode corrugated substrate integrated waveguide (CSIW) to realize surface plasmon mode propagated on the corrugated metal surface and TE0.5,0 transmitted in the substrate at the same time. With the dual-mode operation, the dual-band can also be obtained. For verification, the proposed MC-TL based on SSPPs and HMCSIW is fabricated, and good agreement between the measured and simulated results demonstrates the validity of the proposed configurations.
Provider Perceptions of Opioid Safety Measures in VHA Emergency Departments and Urgent Care Centers.

Background A priority for Veterans Health Administration (VHA) leadership is increasing access to lifesaving treatment, particularly naloxone distribution and medication-assisted treatment (MAT) for opioid use disorder (OUD) for veterans. To date, these practices are not widely done in the VHA emergency departments (ED) and urgent care centers (UCC). Methods The goal of this research was to understand advanced care provider perceptions of barriers and facilitators to naloxone distribution or MAT initiation in VHA ED/UCCs. We developed and disseminated a survey to VHA ED and UCC advanced care providers, including medical doctors (MD/DO), physician assistants (PAs), and nurse practitioners (NPs). Descriptive statistical analysis was conducted. Results There was 16.7% response rate (372 out of 2228 providers) from 103 of 132 sites across all VA regions. The top barrier for ED/UCCs providers to both naloxone and MAT initiation was the feeling that it was beyond their scope of practice (35.2% and 53.2%, respectively). Other reported barriers to MAT initiation included unclear follow-up plan and system for referral of care (50.1%) and feeling uncomfortable using MAT medications (28.8%). Top facilitators for prescribing naloxone included pharmacist who could help prescribe/educate the patient on the medication (44.6%) and patient knowledge of medication options to help overdose (31.7%). The top facilitator for MAT initiation from the ED/UCC was additional VA-based same day treatment options (34.9%). Conclusions Present findings offer a look into possible challenges to address or opportunities to leverage when considering or developing an ED/UCC-based naloxone distribution or MAT-initiation implementation program in VHA facilities.
A water soluble ESIPT-based fluorescent chemodosimeter for the ratiometric detection of palladium ions in aqueous solution and its application in live-cell imaging

An Excited State Intramolecular Proton Transfer (ESIPT) based water-soluble fluorescent chemodosimeter for the ratiometric detection of palladium ions has been rationally designed and developed. Based on the specific reactivity of palladium-promoted hydrolysis, the probe exhibited high selectivity and sensitivity towards palladium ions. Furthermore, the probe was successfully used for fluorescence imaging of Pd2+ in living cells.
Hydrotreating Performance of FCC Diesel and Dibenzothiophene over NiMo Supported Zirconium Modified Al-TUD-1 Catalysts

Zr modified mesoporous alumina Al-TUD-1 with different Zr content was successfully synthesized via sol–gel method and the optimal thermal treatment time was 4 h. The characterization results of HRTEM, XPS and pyridine FT-IR revealed that Zr atoms acted as electronic promoters not only enhanced the sulfidation degree and modulated the morphology of MoS2 active phases but also brought more acidities into the alumina framework. Additionally, the sulfided catalysts were evaluated using dibenzothiophene (DBT) and FCC diesel as feedstocks, respectively. NiMo/ZrAT-100 catalyst with the largest pore size, the highest active metal sulfidities, as well as the highest total acid and B/L value exhibited the highest HDS (99.1%) and HDN efficiencies (98.7%) in diesel hydrotreating reaction; moreover, it possessed the largest reaction rate constant in DBT HDS reaction. Furthermore, a possible reaction network was also proposed, in which DDS route was the predominant pathway for DBT HDS.
Modelling, simulation and implementation of a hybrid model reference adaptive controller applied to a manipulator driven by pneumatic artificial muscles

Abstract The present research aims to model, simulate and implement a new hybrid control approach based on a combination of proportional integral derivative (PID) Controller and Model Reference Adaptive Controller (MRAC), in which Lyapunov’s theory is used to ensure asymptotic stability to control a two degrees of freedom (DoF) manipulator driven by McKibben’s artificial pneumatic muscles. The MRAC controller works as a nonlinearity compensator and PID controller works during the transient period, as the MRAC performs poorly in this regime. This new approach is entitled Hybrid Model Reference Adaptive Controller (H-MRAC) and it has an unprecedented topological structure based on three terms. The feedforward term acts in disturbances rejection, the derivative term in oscillations damping and the feedback term acts in error convergence to zero. In this article, a control system dedicated to pneumatic manipulators was developed. As a result, proof of asymptotic convergence was performed for the proposed topological approach, which was validated on a two DoF manipulator. The proposed mechanism satisfactorily met the ISO/TS 15066 standard, and the position tracking obtained a global error of 37.69% and 51.01% smaller than found in the literature examples, entitled MRAC and A-PID, respectively, for simulations and 37.46% and 30.25% for experiments.
Sensorimotor Activity and Network Connectivity to Dynamic and Static Emotional Faces in 7-Month-Old Infants

The present study investigated whether, as in adults, 7-month-old infants’ sensorimotor brain areas are recruited in response to the observation of emotional facial expressions. Activity of the sensorimotor cortex, as indexed by µ rhythm suppression, was recorded using electroencephalography (EEG) while infants observed neutral, angry, and happy facial expressions either in a static (N = 19) or dynamic (N = 19) condition. Graph theory analysis was used to investigate to which extent neural activity was functionally localized in specific cortical areas. Happy facial expressions elicited greater sensorimotor activation compared to angry faces in the dynamic experimental condition, while no difference was found between the three expressions in the static condition. Results also revealed that happy but not angry nor neutral expressions elicited a significant right-lateralized activation in the dynamic condition. Furthermore, dynamic emotional faces generated more efficient processing as they elicited higher global efficiency and lower networks’ diameter compared to static faces. Overall, current results suggest that, contrarily to neutral and angry faces, happy expressions elicit sensorimotor activity at 7 months and dynamic emotional faces are more efficiently processed by functional brain networks. Finally, current data provide evidence of the existence of a right-lateralized activity for the processing of happy facial expressions.
Fc Binding by FcγRIIa Is Essential for Cellular Activation by the Anti-FcγRIIa mAbs 8.26 and 8.2

FcγR activity underpins the role of antibodies in both protective immunity and auto-immunity and importantly, the therapeutic activity of many monoclonal antibody therapies. Some monoclonal anti-FcγR antibodies activate their receptors, but the properties required for cell activation are not well defined. Here we examined activation of the most widely expressed human FcγR; FcγRIIa, by two non-blocking, mAbs, 8.26 and 8.2. Crosslinking of FcγRIIa by the mAb F(ab’)2 regions alone was insufficient for activation, indicating activation also required receptor engagement by the Fc region. Similarly, when mutant receptors were inactivated in the Fc binding site, so that intact mAb was only able to engage receptors via its two Fab regions, again activation did not occur. Mutation of FcγRIIa in the epitope recognized by the agonist mAbs, completely abrogated the activity of mAb 8.26, but mAb 8.2 activity was only partially inhibited indicating differences in receptor recognition by these mAbs. FcγRIIa inactivated in the Fc binding site was next co-expressed with the FcγRIIa mutated in the epitope recognized by the Fab so that each mAb 8.26 molecule can contribute only three interactions, each with separate receptors, one via the Fc and two via the Fab regions. When the Fab and Fc binding were thus segregated onto different receptor molecules receptor activation by intact mAb did not occur. Thus, receptor activation requires mAb 8.26 Fab and Fc interaction simultaneously with the same receptor molecules. Establishing the molecular nature of FcγR engagement required for cell activation may inform the optimal design of therapeutic mAbs.
Dynamics on Effect of Prey Refuge Proportional to Predator in Discrete-Time Prey-Predator Model

Prey-predator models with refuge effect have great importance in the context of ecology. Constant refuge and refuge proportional to prey are the most popular concepts of refuge in the existing literature. Now, there are new different types of refuge concepts attracting researchers. This study considers a refuge concept proportional to the predator due to the fear induced by predators. When predators increase, fears also increase and that is why prey refuges also increase. Here, we examine the influence of prey refuge proportional to predator effect in a discrete prey-predator interaction with the Holling type II functional response model. Is this refuge stabilizing or destabilizing the system? That is the central question of this study. The existence and stability of fixed points, Period-Doubling Bifurcation, Neimark–Sacker Bifurcation, the influence of prey refuge, and chaos are analyzed. This work provides the bifurcation diagrams and Lyapunov exponents to analyze the refuge parameter of the model. The proposed discrete model indicates rich dynamics as the effect of prey refuge through numerical simulations.
Lagged Wetland CH4 Flux Response in a Historically Wet Year

While a stimulating effect of plant primary productivity on soil carbon dioxide (CO2) emissions has been well documented, links between gross primary productivity (GPP) and wetland methane (CH4) emissions are less well investigated. Determination of the influence of primary productivity on wetland CH4 emissions (FCH4) is complicated by confounding influences of water table level and temperature on CH4 production, which also vary seasonally. Here, we evaluate the link between preceding GPP and subsequent FCH4 at two fens in Wisconsin using eddy covariance flux towers, Lost Creek (US‐Los) and Allequash Creek (US‐ALQ). Both wetlands are mosaics of forested and shrub wetlands, with US‐Los being larger in scale and having a more open canopy. Co‐located sites with multi‐year observations of flux, hydrology, and meteorology provide an opportunity to measure and compare lag effects on FCH4 without interference due to differing climate. Daily average FCH4 from US‐Los reached a maximum of 47.7 ηmol CH4 m−2 s−1 during the study period, while US‐ALQ was more than double at 117.9 ηmol CH4 m−2 s−1. The lagged influence of GPP on temperature‐normalized FCH4 (Tair‐FCH4) was weaker and more delayed in a year with anomalously high precipitation than a following drier year at both sites. FCH4 at US‐ALQ was lower coincident with higher stream discharge in the wet year (2019), potentially due to soil gas flushing during high precipitation events and lower water temperatures. Better understanding of the lagged influence of GPP on FCH4 due to this study has implications for climate modeling and more accurate carbon budgeting.
Blue Laser (450 nm) Treatment of Solar Lentigines

This study tested a blue light source for the treatment of solar lentigines. A total of 14 patients with solar lentigines were treated with radiation from a novel, high-power 450 nm blue laser that was created for this project. The group contained eight patients with solar lentigines on the face, two patients with the lesions on the dorsal of the hands, and four patients with the lesions on the trunk and forearms. The best results (complete recovery) have been achieved for the lesions on the face and dorsal of the hands. The treatment of lesions on the trunk and forearms was not fully satisfying due to the occurrence of slight scarring. This study shows that, in some cases, the use of a blue laser may be an alternative to the use of longer wavelength sources.
A Deep Reinforcement Learning based Resource Allocation Method for Urban Rail Transit Cloud Systems

In urban rail transit systems, moving the existing rail transit service to cloud computing systems can effectively relieve the pressure from data sharing and excessive loads. Allocating computing resources reasonably to guarantee Quality of Service (QoS) of urban rain transit services is crucial. Traditional resource allocation methods are mostly predefined policies. It proves to be difficult for on-demand policies to efficiently utilize the total resources. And it is hard to set an appropriate threshold for each service when applying the threshold-based policy. As one of the autonomous decision-making methods, Reinforcement Learning (RL) has been applied in many fields to solve resource allocation problems. However, a complete urban rail transit cloud resource allocation scenario usually has high dimensions in action and state spaces. In this paper, we utilize Deep Reinforcement Learning (DRL) to allocate resource, since function approximation is usually used to solve the curse of dimensionality. Several urban rail related services are selected as cloud computing users, and the resource allocation among these services is formulated as a Deep Q-Network (DQN). We conduct both the predefined policy and the DQN-based resource allocation policy in a simulated cloud system. Our simulation results show that the DQN-based policy can obtain a better QoS for all selected rail transit services.
A Review of Fuel Cell to Distribution Network Interface Using D-FACTS: Technical Challenges and Interconnection Trends

Today, the worldwide public interest in reducing power quality issues and greenhouse gas emissions is a key driver to study fuel cells (FCs) connected to distribution network systems (DNs) based on distributed flexible alternating-current transmission systems (D-FACTS). DNs will need to develop a better performance on Power Quality (PQ) while providing a more efficient energy technology. This study reviewed in-depth the interface of DN to FC systems. By focusing on the FC interface and the associated technical challenges, this review may help reduce the risk of DNs, minimizing the consumption of fossil fuels for power generation, lowering the emission of hazardous gases while dramatically increasing electrical power loads, improving PQ and stability. Besides, the study deliberated aspects of FC power technology with DNs interfacing based on D-FACTS. Specifically, the discussion encompassed the configuration structures of FC power technology and DNs connection based on D-FACTS, technical challenges of DNs, and its trends to determine the diagnosis, integration, and optimization for FC power technology.
CommonRoad Scenario Designer: An Open-Source Toolbox for Map Conversion and Scenario Creation for Autonomous Vehicles

Maps are essential for testing autonomous driving functions. Several map and scenario formats are available. However, they are usually not compatible with each other, limiting their usability. In this paper, we address this problem using our open-source toolbox that provides map converters from different formats to the well-known CommonRoad format. Our toolbox provides converters for OpenStreetMap, Lanelet/Lanelet2, OpenDRIVE, and SUMO. Additionally, a graphical user interface is included, which allows one to efficiently create and manipulate CommonRoad maps and scenarios. We demonstrate the functionality of the toolbox by creating CommonRoad maps and scenarios based on other map formats and manually-created map data.
RASSF1A-Mediated Suppression of Estrogen Receptor Alpha (ERα)-Driven Breast Cancer Cell Growth Depends on the Hippo-Kinases LATS1 and 2

Around 70% of breast cancers express the estrogen receptor alpha (ERα). This receptor is of central importance for breast cancer development and estrogen-dependent tumor growth. However, the molecular mechanisms that are responsible for the control of ERα expression and function in the context of breast carcinogenesis are complex and not fully understood. In previous work, we have demonstrated that the tumor suppressor RASSF1A suppresses estrogen-dependent growth of breast cancer cells through a complex network that keeps ERα expression and function under control. We observed that RASSF1A mediates the suppression of ERα expression through modulation of the Hippo effector Yes-associated protein 1 (YAP1) activity. Here we report that RASSF1A-mediated alteration of YAP1 depends on the Hippo-kinases LATS1 and LATS2. Based on these results, we conclude that inactivation of RASSF1A causes changes in the function of the Hippo signaling pathway and altered activation of YAP1, and as a consequence, increased expression and function of ERα. Thus, the inactivation of RASSF1A might constitute a fundamental event that supports the initiation of ERα-dependent breast cancer. Furthermore, our results support the notion that the Hippo pathway is important for the suppression of luminal breast cancers, and that the tumor-suppressor function of RASSF1A depends on LATS1 and LATS2.
Recloning and Characterization of C2C12 Myoblast and Its Clonal Derivatives

The C2C12 myoblasts are adult murine muscle stem cells which isolated after injury to induce muscle regeneration. The cells are widely used in pharmaceutical and biological researches to represent skeletal muscle cells. In our laboratory, we utilize the cells for glucose uptake assay after insulin treatment and studying the muscle regeneration. In this study we conducted recloning of C2C12 cells by limiting dilution cloning (LDC) and investigated the biological properties incuding cell proliferation, adhesion and differentiation of the clonal cells in comparison to the parental cells. Cell proliferation rate had been determined by WST assay, cell adhesion had been observed after cell detachment by EDTA and cell differentiation into multinucleated myotube had been investigated after induction and incubation with horse serum. As results, two clonal derivatives of C2C12 myoblast cells had been retrieved by LDC and used for cell assays. Moreover, the results indicated that parental cells showed faster proliferation rate and better differentiation ability than that of clonal cells. In the contrary the parental cells exhibited weaker adhesion rate than clonal cells. To conclude, C2C12 parental cells are better for performing the glucose uptake or muscle regeneration assays since they showed better differentiation capability.Keywords: C2C12 cells, cells differentiation, myoblast, myotube, recloning.