Miracle-dz/UniFAR-FTUs huggingface dataset:
Protection for 330 kV transmission line and recommendation for Nigerian transmission system: a review

The transmission line is an integral part of the electrical power system; however, a fault has a negative impact on the system, like blackout, power loss, financial losses, and socio-economic impact. This fault occurs due to ageing conductors, lightning stroke, switching surge and human interference. We reviewed the protection scheme implemented in the Nigerian transmission network, which has challenges relating to the environment's terrain and a long-distance transmission line of about 20,000 km. The different approach of fault classification, detection and location was analysed and critically summarised. This review paper proposes a hybrid Artificial Neural Network and distance protection scheme that can automatically identify, locate, isolate, predict, correct faults, and real-time monitor and control the entire network. It can also detect the shortest possible trip time of 0.02 s and 0.03 s of line current and fault losses, respectively, during fault to avert damage on the line. However, this method has its challenges, such as the volume of data generated from load flow analysis, training time, and the total distance covered by the network. However, these can be averted by segmenting the entire network for easy evaluation and monitoring to achieve set goals.
Total Phenolic Levels, In Vitro Antioxidant Properties, and Fatty Acid Profile of Two Microalgae, Tetraselmis marina Strain IMA043 and Naviculoid Diatom Strain IMA053, Isolated from the North Adriatic Sea

This work studied the potential biotechnological applications of a naviculoid diatom (IMA053) and a green microalga (Tetraselmis marina IMA043) isolated from the North Adriatic Sea. Water, methanol, and dichloromethane (DCM) extracts were prepared from microalgae biomass and evaluated for total phenolic content (TPC) and in vitro antioxidant properties. Biomass was profiled for fatty acid methyl esters (FAME) composition. The DCM extracts had the highest levels of total phenolics, with values of 40.58 and 86.14 mg GAE/g dry weight (DW in IMA053 and IMA043, respectively). The DCM extracts had a higher radical scavenging activity (RSA) than the water and methanol ones, especially those from IMA043, with RSAs of 99.65% toward 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)diammonium salt (ABTS) at 10 mg/mL, and of 103.43% against 2,2-diphenyl-1-picrylhydrazyl (DPPH) at 5 mg/mL. The DCM extract of IMA053 displayed relevant copper chelating properties (67.48% at 10 mg/mL), while the highest iron chelating activity was observed in the water extract of the same species (92.05% at 10 mg/mL). Both strains presented a high proportion of saturated (SFA) and monounsaturated (MUFA) fatty acids. The results suggested that these microalgae could be further explored as sources of natural antioxidants for the pharmaceutical and food industry and as feedstock for biofuel production.
Sintaxe baseada em gramáticas de grafos para uma linguagem funcional visual voltada ao aprendizado de programação

Linguagens baseadas no paradigma imperativo tendem a enfatizar aspectos sintáticos em detrimento do processo de resolução de problemas. Este trabalho apresenta a sintaxe da linguagem visual funcional Pandora, construída a partir de uma gramática de grafos equipada com uma álgebra, cujas regras enfatizam a construção de um programa com ênfase em composição e reúso de especificações.
The Economic Impact of Hybrid Rice in the Mid-South

This study quantified the economic impact of the introduction of RiceTec® hybrid rice in the mid-south (Arkansas, Louisiana and Mississippi). Third party data were collected from The University of Arkansas and Mississippi State University for yield, head rice yield, and milled rice yield for 23 locations throughout the Mississippi and Arkansas Delta from 2003-2013. Weather data (temperature, relative humidity and solar radiation) were compiled daily for each station so that yield estimates could account for genetic differences in responses to various climatic anomalies. As such, credible yield estimates could be obtained by year, location and variety (hybrid, conventional, Clearfield and Clearfield hybrids) to estimate premiums or discounts relative to a base (in this study the base is conventional and Clearfield lines). Using existing publically available data on percentage of acreage planted to hybrids and Clearfield hybrids a total state “hybrid and Clearfield hybrid premium” in bushels per acre could be estimated. These premiums were multiplied by 2014 USD rice prices to obtain a “total gain” associated to the RiceTec® breeding program. Given that yields were estimated for each “type” of rice an associated standard deviation of yield could also be obtained to illustrate yield variability across these types. From this a simulation was run to simulate 10,000 rice varieties associated with each “type” of rice. University Extension production budgets were then used to estimate cost of production (which included different seed herbicide costs) for each type of rice to obtain a profit function. As such, head-to-head comparisons could be made in terms of profitability between two sets of variety substitutes: (1) hybrid vs conventional and (2) Clearfield vs Clearfield hybrid. Lastly, IMPLAN was used to estimate the “value added” defined as “the sum of employee compensation, proprietary income, other property-type income and indirect business taxes” associated with the additional rice produced attributed to the RiceTec® hybrid program.
The modern global oil market under stress - system dynamics and scenarios

Modelling techniques developed 40 years ago to gain insight into the issues of energy supply security remain powerful even as the focus of energy technology policy analysis has shifted to consider new problems and research methods more closely linked to pressing environmental challenges. Dynamic modelling continues to be of merit and indeed it has the potential to provide helpful perspectives on contemporary problems such as climate change and the Net Zero transition. This work seeks to help revive system dynamics modelling of the global oil market. The SD-based analysis used in this paper facilitates a rational representation of physical stocks and flows as well as causal linkages that drive decision-making in the global oil system. The use of SD provides insights (intuitive and counter-intuitive) into the macro-level non-linear dynamics of global oil exchanges and permits assessment of the potential impacts of future changes in system behaviour. The model exhibits damped oscillations in oil prices, broadly consistent with real market behaviours. The results further illustrate the resilience of market dynamics in the phase of extreme supply side shocks and reveal the ability of System Dynamics to simulate and model such effects even beyond the point of market failure.
Design Analysis and Fabrication of Delta Wing Amphibian UAV

This project reveals the design, analysis and fabrication of delta wing amphibian, Unmanned Aerial Vehicle (UAV). The UAV is capable of both vertical takeoff and landing (VTOL), and short takeoff and landing (STOL). This UAV can be used for both surveillance and medical emergency. Adding an advantage to this UAV camouflage image setup is used for the better surveillance in air and water. Delta wing is used for the serious aerobatic motions and control ability. Design and analysis result shows that delta wing is suitable for this quadcopter and gives the high lift coefficient and decrease in drag. The design is done by using CATIA V5 software and the flow and structure analysis is done with help of ANSYS software. The lightweight materials like aluminum, corrugated sheet and thermocol and card board sheet is used which reduces the weight and helps the quadcopter to float in water. Quadcopter is being used to have better fuel efficient and reduce in control channel. From the calculation and testing the range is obtained to be 7miles. The maximum speed is 30m/s and the endurance is to be 1hr 30 mints. Keywords—Amphibian quadcopter; Delta wing; flow analysis; structural analysis; flight testing
Switching control for spacecraft body-fixed hovering to tumbling target by using second order sliding mode

In consideration of the on/off operational mode of jet thruster, the relative orbit control problem of spacecraft hovering to tumbling target in target’s body-fixed frame is discussed. By utilizing the discontinuous nature of sliding mode control (SMC) method, a second order SMC law is designed to tackle the uncertain system dynamics and external disturbance. Based on the homogeneous criteria of high order sliding mode (HOSM), the sufficient conditions of control parameters are given to guarantee the finite time stability. Finally, numerical simulations about spacecraft hovering to tumbling target are carried out to verify the performance with developed switching control algorithm.
Oridonin Relieves Angiotensin II-Induced Cardiac Remodeling via Inhibiting GSDMD-Mediated Inflammation

Myocardial remodeling is one of the main lesions in the late stage of chronic heart failure and seriously affects the prognosis of patients. Continuous activation of the renin-angiotensin-aldosterone system (RAAS) contributes to the development of myocardial remodeling greatly, and angiotensin II (Ang II), its main constituent, can directly lead to cardiac remodeling through an inflammatory response and oxidative stress. Since Ang II-induced myocardial remodeling is closely related to inflammation, we tried to explore whether the anti-inflammatory drug oridonin (Ori) can reverse this process and its possible mechanism. Our study investigated that hypertrophy and fibrosis can be induced after being treated with Ang II in cardiomyocytes (H9c2 cells and primary rat cardiomyocytes) and C57BL/6J mice. The anti-inflammatory drug oridonin could effectively attenuate the degree of cardiac remodeling both in vivo and vitro by inhibiting GSDMD, a key protein of intracellular inflammation which can further activate kinds of inflammation factors such as IL-1β and IL-18. We illustrated that oridonin reversed cardiac remodeling by inhibiting the process of inflammatory signaling through GSDMD. After inhibiting the expression of GSDMD in cardiomyocytes by siRNA, it was found that Ang II-induced hypertrophy was attenuated. These results suggest that oridonin is proved to be a potential protective drug against GSDMD-mediated inflammation and myocardial remodeling.
Expression and Regulation Network of HDAC3 in Acute Myeloid Leukemia and the Implication for Targeted Therapy Based on Multidataset Data Mining

Background Histone deacetylase 3 (HDAC3) plays an important role in the development and progression of a variety of cancers, but its regulatory mechanism in acute myeloid leukemia (LAML) is not entirely understood. Methods We analyzed the expression of HDAC3 in normal and cancerous tissues using Oncomine, UALCAN, and GEO databases. Changes of the HDAC3 gene were analyzed by cBioPortal. The genes coexpressed with HDAC3 were analyzed by WebGestalt, and the predicted signaling pathways in KEGG were discussed. Results We discovered that the expression of HDAC3 was elevated in some types of acute myeloid leukemia. The HDAC3 gene has a strong positive correlation with SLC25A5, NDUFA2, Cox4I1, and EIF3K, which regulate cell growth and development. HDAC3 transcription is higher in patients with FLT3 mutation than in healthy people. HDAC3 can be directly involved in regulating the thyroid hormone signaling pathway. MEF2D is directly involved in the cGMP-PKG signaling pathway, and the HDAC3 gene has a strong synergistic relationship with MEF2D. HDAC3 is indirectly involved in the cGMP-PKG signaling pathway, thereby indirectly regulating the expression levels of p53 and p21 genes in patients with LAML. Genomics of Drug Sensitivity in Cancer (GDSC) database analysis revealed that the application of the HDAC3 inhibitor can inhibit the proliferation of leukemia cells. Conclusions Therefore, our data suggest that HDAC3 may be a possible therapeutic target for acute myeloid leukemia.
ETO Meets Scheduling: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem

Evolutionary transfer optimization(ETO) serves as "a new frontier in evolutionary computation research", which will avoid zero reuse of experience and knowledge from solved problems in traditional evolutionary computation. In schedule-ing applications via ETO, a highly competitive "meeting" framework between them could be constituted towards both intelligent scheduling and green scheduling, especially for carbon neutrality within the context of China.To the best of our knowledge, our study on scheduling here, is the 1st work of ETO for complex optimization when multi-objective problem "meets" single-objective problems in combinatorial case (not multitasking optimization). More specifically, key knowledge like positional building blocks clustered, could be learned and transferred for permutation flow shop scheduling problem (PFSP). Empirical studies on well-studied benchmarks validate relatively firm effectiveness and great potential of our proposed ETO-PFSP framework.
ECMO: ECC Architecture Reusing Content-Addressable Memories for Obtaining High Reliability in DRAM

Advances in the density and capacity of dynamic random access memories (DRAMs) have resulted in emerging reliability issues. The error correction code (ECC) is widely used as a promising technique to improve the reliability of high-density memories. For this reason, many studies on ECC have been conducted to address the increased cell failure rates. However, conventional ECCs have shown limited achievements owing to area, latency, and power overheads. This study proposes ECC architecture reusing content-addressable memories (CAMs) for obtaining high reliability in DRAM, which can be called ECMO. The proposed architecture reuses CAMs in built-in self-repair, which can be used to repair memory hard faults during manufacturing as data storage to replace error data words. This achieves high reliability along with an additional 9155 h DRAM lifetime. Nevertheless, it can be implemented with a 3.04% area overhead due to the reuse of CAMs. Moreover, only 0.21 ns is added to the critical path. Furthermore, the power overhead is 0.1% compared to the total power consumption of DDR3 and DDR4.
Parental Representations Changes in Brief Psychotherapy to Promote Sensitivity: A Case Study of Siblings’ Adoption

ABSTRACT Some brief psychotherapies aim to increase parental sensitivity in the post-adoption period. However, there is a lack of systemic approaches to evaluate the psychotherapeutic process. The current study aimed to understand how parental representations changed during ten psychotherapy sessions of a brief intervention to promote parental sensitivity during the post-adoption period. A couple (35-year-old mother and 39-year-old father) who were having severe difficulties bonding with their recently adopted children (three, five, and eight years old boys) participated in the study. The construct ‘sensitivity’ was used to analyze the psychotherapy process using a theme analysis applied to the psychotherapy transcriptions. The frequency of the deductive themes and the construction of new ones (inductive) through sessions guided the analyses. Initially, parents interpreted their children’s intentions negatively, which caused a chain of hostilities in the relationship. Throughout the intervention, parents gradually became better able to represent their children in a more complex way and understand how their children communicate their needs. Along with the sensitivity improvements noted, the couple reported an improvement in the parent-child bond, and adoption breakdown was no longer a topic of the sessions as it was in the beginning.
A Tongue Color Classification Method in TCM Based on Transfer Learning

In the field of TCM tongue diagnosis, the most important feature is the tongue color. Recently, the deep learning method can be used to classify the tongue color, which has been one of the important research directions for the objectification of tongue diagnosis. However, if there is a small amount of training data and low hardware equipment configuration, directly use of the current deep learning methods to classify the tongue color will not achieve satisfactory results. In order to solve these problems, this paper proposes a tongue color classification method in TCM based on transfer learning. This method transfers the model parameters trained on the ImageNet data set to the task of tongue image feature extraction and classification, splits of the tongue image data set is used for training and testing. We have used the obtained depth network to classify the color features of tongue image. Experiments illustrate that this method has good accuracy and short training time, and can better complete the task of tongue color classification.
Short Frame Transmission at Very Low SNR by Associating CCSK Modulation with NB-Code

In this paper, we present a frame structure that can be viewed as a preamble for the detection and synchronization process (leading to low cost receiver) and as an encoded codeword carrying the transmitted message (leading to reliable transmission). This duality facilitates an ALOHA protocol avoiding preamble overhead. The frame structure, named Quasi-Cyclic Short Packet (QCSP), is based on the association of a Cyclic Code Shift Keying (CCSK) modulation and a non-binary error control code. The detection/correction algorithm of the QCSP system is presented, its performance is theoretically derived and discussed for different parameters. A QCSP frame can be transmitted and received correctly with an error probability of 10-4, distanced by 1.2 dB from Polyanskiy’s bound (an estimated Shannon’s limit for small packet size) at -11 dB of SNR for a payload of 360 bits. Compared to a classical preamble-based frame using a modern binary error control code, the size of a QCSP frame is reduced by 23%. Moreover, detecting a QCSP frame requires a lower complexity than detecting a longer classical preamble.
Multi-target Rotating Encirclement Formations of Second-order Multi-agent Systems with Communication Noises

This paper investigates the encirclement formation problem of second-order multi-agent systems (SO-MAS)with communication noises. Firstly, the targets’ position is calculated by a distributed estimator. Secondly, a distributed control scheme is designed to make sure all agents achieve rotating encirclement formation, and time-varying gain is adopted to reduce the affect of communication noises. Then, based on the complex domain theory and Lyapunov theory, a sufficient condition for achieving the desired rotating encirclement formation is obtained. Finally, the numerical simulation shows the proposed scheme’s effectiveness.
New Insights Into Lithospheric Structure and Melting Beneath the Colorado Plateau

The Colorado Plateau and its surroundings serve as an archetypal case to investigate the interaction of mantle melting processes and lithospheric structure. It has been hypothesized that widespread Cenozoic volcanism indicates the encroachment of the convective upwelling of asthenosphere toward the Plateau center. In this study, we generate a Common Conversion Point (CCP) stack of S‐to‐p (Sp) receiver functions to image the locations of lithospheric discontinuities in the southwestern United States. Our results are broadly similar to prior work, showing a strong and continuous Negative Velocity Gradient (NVG) consistent with the Lithosphere‐Asthenosphere Boundary (LAB) over much of the study area. However, with several methodological improvements, we are able to obtain more reliable NVG depth picks below the Colorado Plateau where the LAB becomes weaker, deeper, and broader. We compare the inferred topography of NVGs with the locations of volcanoes, and find that the majority of recent volcanoes are co‐located with lithosphere that is ∼80 km thick. This appears to be the critical depth at which partial melt from upwelling asthenosphere pooling at the base of (or within) the lithosphere may percolate to the surface. We compare our CCP profiles with magma equilibration conditions determined from petrologic analysis and find good agreement between the depth of NVGs and depth of magma equilibration. This analysis provides insight into the progression of magmatism and lithospheric loss toward the center of the Colorado Plateau, and demonstrates how small‐scale processes like melting influence lithosphere‐asthenosphere interactions that persist over large temporal and spatial scales.
Managing Cow’s Milk Protein Allergy with an Extensively Hydrolyzed Formula: Results from a Prospective, Non-Interventional Study in France (EVA Study)

Symptoms related cow’s milk proteins allergy (CMPA) usually improve between two to four weeks following an elimination diet, firstly with extensively hydrolyzed formulas (eHF). The aim of the EVA study was to observe the evolution of CMPA-related symptoms in real life after initiation of a whey-based extensively hydrolyzed formula (w-eHF, Althéra®, Nestlé Health Science, Switzerland). This cross-sectional prospective non-interventional study was carried out alongside paediatricians in private practice in France between June 2019 and June 2020. Infants aged 0–3 years presenting with confirmed diagnosis or clinical symptoms suggesting CMPA were enrolled. Data were collected at enrolment (baseline visit) and three to five weeks later (follow-up visit). Symptoms were assessed using the Cow’s Milk-related Symptom Score (CoMiSS®). The per protocol population included 135 infants. The average number of symptoms per infant significantly decreased under the study formula (from 2.81 to 1.36, p < 0.001) and the proportions of infants with any CMPA related symptoms decreased. Daily crying and regurgitation showed the largest decline, respectively −44.4% and −31.85% (p < 0.001). These results describe the early management of symptoms suspected to be related to CMPA in routine practice that was rarely described in the literature. The number and severity of symptoms decreased most of the cases after commencing the study formula.
Novel Salmonella Phage, vB_Sen_STGO-35-1, Characterization and Evaluation in Chicken Meat

Salmonellosis is one of the most frequently reported zoonotic foodborne diseases worldwide, and poultry is the most important reservoir of Salmonella enterica serovar Enteritidis. The use of lytic bacteriophages (phages) to reduce foodborne pathogens has emerged as a promising biocontrol intervention for Salmonella spp. Here, we describe and evaluate the newly isolated Salmonella phage STGO-35-1, including: (i) genomic and phenotypic characterization, (ii) an analysis of the reduction of Salmonella in chicken meat, and (iii) genome plasticity testing. Phage STGO-35-1 represents an unclassified siphovirus, with a length of 47,483 bp, a G + C content of 46.5%, a headful strategy of packaging, and a virulent lifestyle. Phage STGO-35-1 reduced S. Enteritidis counts in chicken meat by 2.5 orders of magnitude at 4 °C. We identified two receptor-binding proteins with affinity to LPS, and their encoding genes showed plasticity during an exposure assay. Phenotypic, proteomic, and genomic characteristics of STGO-35-1, as well as the Salmonella reduction in chicken meat, support the potential use of STGO-35-1 as a targeted biocontrol agent against S. Enteritidis in chicken meat. Additionally, computational analysis and a short exposure time assay allowed us to predict the plasticity of genes encoding putative receptor-binding proteins.