Miracle-dz/UniFAR-FTUs huggingface dataset:
The Roles of Floral Organ Genes in Regulating Rosaceae Fruit Development

The function of floral organ identity genes, APETALA1/2/3, PISTILLATA, AGAMOUS, and SEPALLATA1/2/3, in flower development is highly conserved across angiosperms. Emerging evidence shows that these genes also play important roles in the development of the fruit that originates from floral organs following pollination and fertilization. However, their roles in fruit development may vary significantly between species depending on the floral organ types contributing to the fruit tissues. Fruits of the Rosaceae family develop from different floral organ types depending on the species, for example, peach fruit flesh develops from carpellary tissues, whereas apple and strawberry fruit flesh develop from extra-carpellary tissues, the hypanthium and receptacle, respectively. In this review, we summarize recent advances in understanding floral organ gene function in Rosaceae fruit development and analyze the similarities and diversities within this family as well as between Rosaceae and the model plant species Arabidopsis and tomato. We conclude by suggesting future research opportunities using genomics resources to rapidly dissect gene function in this family of perennial plants.
D" Reflection Polarities Inform Lowermost Mantle Mineralogy

Polarities of seismic reflections at the discontinuity atop the D" region (PdP and SdS) indicate the sign of the velocity contrast across the D" reflector. Recent studies found PdP polarities matching and opposite those of P and PcP. While anisotropy could explain this behavior, we find that the ratio of the change in S wave velocity over change in P wave velocity (R‐value) can influence polarity behavior of D" reflected P waves. For R‐values exceeding 3, the P wave reverses polarity in the absence of anisotropy while S wave polarity is not influenced by the R‐value. Using sets of one million models for normal mantle and MORB with varying minerals and processes across the boundary, we carry out a statistical analysis (Linear Discriminant Analysis) finding that there is a marked difference in mantle mineralogy to explain R‐values larger and smaller than 3, respectively. Based on our results we can attribute different mineralogy to a number of cases. In particular, we find that when velocities increase across D" and polarities of PdP and SdS are opposite the post‐perovskite phase transition is still the best explanation whereas MORB is the best explanation when PdP and SdS are the same. When the velocities are decreasing, the post‐perovskite phase transition within MORB is the best explanation if PdP and SdS polarities are the same but if PdP and SdS are opposite, our results indicate that primordial material or mantle enriched in bridgmanite can explain the polarity behavior, further constraining mineralogy within the large low seismic velocity provinces.
A Novel Frequency Based Feature Extraction Technique for Classification of Corona Virus Genome and Discovery of COVID-19 Repeat Pattern

Abstract Genome sequence regulates the life of all living organisms on earth. Genetic diseases cause genomic disorders and therefore early prediction of severe genetic diseases is quite possible by Genome sequence analysis. Genomic disorders refer to the mutation that is rearrangement of bases in the Genome of an organism. Genome sequence analysis and mutation identification can help to classify the diseased genome which can be accomplished using Machine Learning techniques. Feature Extraction plays a crucial role in classification as it is used to convert the Genome sequences into a set of quantitative values. In this article, we propose a novel feature extraction technique called Frequency based Feature Extraction Technique which extracts 120 features from genome sequences for classification. In the current scenario, COVID-19 is the pandemic disease and Corona virus is the source of this disease. So, in this research work, we tested the proposed feature extraction technique with 1000 samples of Genome sequences of Corona virus affected patients across the world. The extracted features were classified using both Machine Learning and Deep Learning techniques. From the results, it is evident that the proposed feature extraction technique performs well with Convolutional Neural Network classifier giving an accuracy of 97.96%. The proposed technique also helps to find the most repeat patterns in the genome sequences. It is discovered that the pattern "TTGTT" is the most repeat pattern in COVID-19 genome.
Parameter Estimation and Grid Synchronization Using a First-Order Frequency-Locked Loop

Fast and accurate estimation of frequency, phase angle, and amplitude are necessary for seamless synchronization of grid-connected converters. Therefore, this article proposes a first-order frequency-locked loop (FLL) structure for single-phase grid applications. The proposed FLL relies on signals generated from a first-order integrator orthogonal signal generator (OSG). With this approach, the generated signals exhibit a semi-quadrature phase angle offset with respect to the single-phase input voltage. Thus, unlike in existing FLLs where a 90° phase delay is introduced in the input signal, delay introduced using the proposed approach is halved. More so, the other orthogonal signal in the proposed approach exhibits a leading phase angle with respect to the single-phase input voltage. These distinctions assist the proposed FLL in achieving improved transient performance. A linearized model of the FLL is obtained where it is shown that the proposed FLL realizes a type-1 control system, giving it the ability to track step changes in the input voltage’s frequency with zero steady-state phase angle error. Extension of the proposed FLL for applications involving disturbances such as harmonics, dc-offset, and noise is also presented. Experimental results are provided to evaluate the performance of the proposed FLL in comparison with other FLL-based schemes where it is shown that the proposed FLL offers advantages such as simplicity, fast response, and minimum deviation in its frequency, phase angle, and amplitude estimations.
Bi-objective coordinated production and transportation scheduling problem with sustainability: formulation and solution approaches

ABSTRACT This paper studies a new variant of integrated production scheduling and vehicle routing problem where production of customer orders are performed under job-shop environment and order deliveries are made by a heterogeneous fleet of vehicles, each of which is allowed to take multiple trips. Two conflicting objectives are considered, namely minimisation of the total amount of CO2 emitted by the vehicles and minimisation of maximum tardiness resulting from late deliveries. To this end, we present a bi-objective mixed-integer programming formulation. Augmented ε-Constraint (Augmecon) method is implemented to find Pareto optimal solutions. Due to problem complexity, Augmecon cannot provide solutions even with small-sized problems. Thus, we adopt Pareto Local Search (PLS) and non-dominated sorting genetic algorithm-II (NSGA-II) for practical sized instances. For small-sized instances involving 5, 6, and 7 customers, experimental results indicate that CPU time of Augmecon are 11, 84, and 524 sec, respectively with an average number of Pareto efficient solution of 3.5. In terms of hypervolume index, Augmecon shows the best performance, followed by NSGA-II with 11.32% and PLS with 20.75% degradation for small-sized instances. For medium and large-sized instances, PLS shows worse performance than NSGA-II by 16.87% and 40.48%.
Cyclosporine as a novel treatment for amatoxin-containing mushroom poisoning: a case series

Abstract Ingestion of amatoxin-containing mushrooms can lead to fulminant hepatotoxicity and death. Despite recent interest in therapeutic options for amatoxin-exposed patients, there is no single, recommended treatment for amatoxin poisoning. Alpha-amanitin, the principal toxin in amatoxin-containing mushrooms, requires entry into hepatocytes via organic anion transporting polypeptide (OATP) 1B3 before the cascade of cellular events occurs leading to hepatocyte necrosis, liver failure, and in severe cases liver transplantation or death. Three patients managed through a single poison centre with confirmed amatoxin-containing mushrooms ingestions were treated with intravenous cyclosporine, a known potent OATP1B3 inhibitor, along with supportive care. All patients presented with classic delayed symptoms of nausea, vomiting and diarrhea. No patient progressed to fulminant hepatic failure, although two patients developed a transient rise in liver transaminases. All recovered and were discharged from hospital. No patient had an adverse effect from cyclosporine. In addition, we performed an in-vitro study of the role of cyclosporine in cultured HEK293T cells and human hepatoma Huh7 cells. Cyclosporine effectively inhibited OATP1B3-mediated uptake of alpha-amanitin, and improved cell viability of alpha-amanitin exposed cultured Huh7 cells. We conclude that IV cyclosporine, a drug readily available in most hospitals, may be useful to reduce hepatotoxicity from amatoxin poisoning.
How do you depict sustainability? An analysis of images posted on Instagram by sustainable fashion companies

ABSTRACT Sustainability is strongly becoming imperative for all fashion companies to respond to stakeholders’ concerns and meet their expectations. While companies are more and more engaged in sustainability practices regarding all the activities carried out, there is also a growing opportunity for them to communicate it to reinforce the brand through various means. One of these is undoubtedly represented by social media. The social media landscape is increasingly characterized by the use of images as a highly impactful way of communication, with image-based social media such as Instagram that are experiencing significant growth among consumers and businesses. Consequently, the paper aims to understand how sustainability is depicted through Instagram by sustainable fashion companies. For these reasons, the paper investigates the use of images on Instagram by two sustainable fashion brands, Patagonia and Stella McCartney. To this aim, the paper employs the visual content analysis on over 300 pictures downloaded from the two corporate accounts on Instagram. The findings show the most used image categories to depict sustainability, and how such categories generate online interaction with users in terms of digital engagement. Implications for sustainable fashion companies and social media managers are provided.
Protocolo GUADALMED (PRECE).

A rapid protocol for Evaluation of the Ecological Status of Mediterranean rivers (RBP) has been designed within the GUADALMED project. This protocol provides the necessary methodology to determine the value of three indices: the QBR index (to evaluate riparian quality), the IBMWP index (former BMWP’ for the assessment of biological quality of water), and the IHF index (physical habitat). The protocol also includes methods for measuring river discharge and physicochemical variables of water.
Smart Home Energy Visualizer: A Fusion of Data Analytics and Information Visualization

While technology advancements are continuously improving, the energy efficiency of household appliances, energy consumption analysis, and providing feedback to consumers on this analysis remains a critical issue in ensuring the effectiveness of such improvements. Visual feedback is a promising technique for promoting energy conservation by applying demand response (DR) in smart home energy management systems (SHEMSs). In this article, we propose a smart home energy visualization (SHEV) system, an SHEMS that comprises three components: Appliance Profile Detector with XCorrelation (APDX) that monitors the activation of household appliances, operation modes identification using cycles clustering (OMICC) to identify the operation modes used, and the visualizer to represent the appliance usage-related information to the user using concentric circles representation (CCR). This visualization assists the consumer in applying DR by better understanding the appliance usage so that the consumer makes sense of the consumption, and hence, better decision-making in energy conservation.
Rating Scale Development Study for the Evaluation of the Prepared Speeches

The lessons related to mother tongue education in schools are given by classroom teachers in primary school and by Turkish teachers in secondary school. In this sense, it is necessary to include courses that will contribute to the good and effective use of the mother tongue in Turkish and classroom teaching undergraduate programs. It can be said that the practice hours in undergraduate programs should be increased in order to improve the prepared speaking skills of teacher candidates. In addition, determining the prepared speech performance levels of teacher candidates is also important in terms of the quality of practice activities. In this way, the teacher candidate can have information about their state and keep track of their development. Accordingly, the aim of this study was to develop a rating scale for the evaluation of teacher candidates' prepared speaking skills. For that reason, the research was designed according to the screening model. The study group of the study consisted of the thirdyear students of the Turkish Education department who were studying at the education faculty of a state university and took the "Speaking Education" course in the spring semester. In order to determine the validity of the measurement tool, the scope and criterion validity were examined. In order to determine the reliability of the assessment tool, Kendall's W test and variance analysis were applied to the evaluations of three different independent raters. Results of study obtained within the scope of validity and reliability studies are strong evidence showing that the rating scale is valid and reliable.
Dissecting the molecular basis of human interneuron migration in forebrain assembloids from Timothy syndrome

Defects in interneuron migration during forebrain development can disrupt the assembly of cortical circuits and have been associated with neuropsychiatric disease. The molecular and cellular bases of such deficits have been particularly difficult to study in humans due to limited access to functional forebrain tissue from patients. We previously developed a human forebrain assembloid model of Timothy Syndrome (TS), caused by a gain-of-function mutation in CACNA1C which encodes the L-type calcium channel (LTCC) Cav1.2. By functionally integrating human induced pluripotent stem cell (hiPSC)-derived organoids resembling the dorsal and ventral forebrain from patients and control individuals, we uncovered that migration is disrupted in TS cortical interneurons. Here, we dissect the molecular underpinnings of this phenotype and report that acute pharmacological modulation of Cav1.2 can rescue the saltation length but not the saltation frequency of TS migrating interneurons. Furthermore, we find that the defect in saltation length in TS interneurons is associated with aberrant actomyosin function and is rescued by pharmacological modulation of MLC phosphorylation, whereas the saltation frequency phenotype in TS interneurons is driven by enhanced GABA sensitivity and can be restored by GABA receptor antagonism. Overall, these findings uncover multi-faceted roles of LTCC function in human cortical interneuron migration in the context of disease and suggest new strategies to restore interneuron migration deficits.
Bioavailability Enhancement of Vitamin E TPGS Coated Liposomes of Nintedanib Esylate Formulation Developed Using Quality by Design Approach

PurposeNintedanib esylate (NE) is a kinase inhibitor designated for the cure of non-small cell lung cancer suffers from first-pass metabolism which resulted in low oral bioavailability (~4.7%). The intent of this exploration was to increase the oral bioavailability of NE by means of TPGS coated liposomes. MethodsThe NE-loaded TPGS coated liposomes were formulated by high-speed homogenization by optimizing process parameters like phospholipids: cholesterol molar ratio, drug loading and sonication time through the design of experiments. The drug's behaviour was studied using a variety of techniques, including physicochemical characterization, in-vitro and in-vivo studies. ResultsThe NE-liposomes had a particle size of 125±6.68 nm, entrapment efficiency of 88.64±4.12% and zeta potential of +46±2.75 mV. X-ray diffraction analysis revealed that NE had been converted to an amorphous state, while transmission electron microscope images showed spherical shape and smooth coating of TPGS on surface of liposomes. The formulation showed Higuchi kinetics with sustained drug release of 88.72 ± 3.40% in 24 hours. Cellular uptake of C-6 labelled liposomes was observed in A-549 cells and cytotoxicity testing revealed that NE-liposomes were more effective than marketed formulation Ofev®. Formulation remained in simulated fluids and for three months in stability chamber and. Liposomal oral bioavailability was ~6.23 times greater in sprague dawley male rats compared to marketed formulation Ofev®, according to in-vivo pharmacokinetic data. ConclusionNE-Liposomal formulations are better for oral administration compared to the marketed capsules because of the prolonged drug release and increased oral bioavailability as a result, the developed formulation can become a successful strategy in cancer chemotherapy.
Atomistic Study on the Energetic and Mechanical Behaviors of Helium Bubble Nucleation and Growth in RAFM Steel

Abstract Helium produced by neutron irradiation is a crucial inducement to bring about the property of deterioration of structural materials served in a fusion reactor. To investigate the nucleation and growth behavior of helium bubbles in reduced activation ferritic/martensitic steels, which comprise one of the most promising candidate structural materials, the Molecular Statics method and the Metropolis Monte Carlo algorithm are combined to investigate the energetic and mechanical behaviors of HenVm clusters in α-Fe. The simulation results show that the vacancy and helium atom binding energy are inclined to reach a saturation state, i.e., 4.0 eV for the vacancy and 2.4 eV for the helium atom; however, the binding energy of self-interstitial atoms decreases to minus values at high helium-to-vacancy (He/V) ratios. The crossover of the binding energy curve of the helium and vacancy indicates that the equilibrium He/V ratio is 1.68 during the nucleation of helium bubbles. Meanwhile, the dissociation energy analysis indicates that the stable He/V ratio of the clusters is 1.3 at high temperatures. Moreover, the pressure analysis of the HenVm clusters indicates that the He/V ratio corresponding to their mechanical equilibrium state varies from 0.50 to 0.65 at 0 K. Furthermore, the analysis combined with the relevant experimental data of helium density in helium bubbles indicates that the actual He/V ratio of helium bubbles in the served materials is closely relevant to the irradiation condition, such as helium production rate, temperature, etc. The investigation results in this paper contribute to elucidate the microscopic process of helium bubble nucleation and growth and provides the energetic and mechanical parameters of small-sized helium bubbles with different sizes for large-scale simulation studies.
The Coordinate Transformation Based on Longitude-Latitude and its Application in Air-defense C~3 I System

Coordinate transformation (C-T) is an important link in the formation processing of air-defense C 3 I. The transformation from spherical surface coordinate of radar's station to right-angle coordinates of the command center is fulfilled through the earth-centered coordinates, which makes the conversion to the location directly, overcomes the error maybe produced from the processing of C-T. The detailed derivation process and transformation method are given out Considering the effects of the curvature of the earth's surface, the analysis and compensation for the errors are carried through and several methods for the error estimating are brought out.
Ofloxacin/ tinidazole induced fixed drug eruption- a case report

Introduction: An immunological cutaneous adverse drug reaction is distinguished as sharply defined lesions with red rashes and sharp borders, erythematous lesions with or without blisters developing within an hour or in a few cases within a week after drug administration is termed as fixed drug eruptions (FDE). FDE is one of the major forms of drug-induced dermatosis. Various class of drugs that are causative agents for FDE includes antibiotics, anticonvulsants, antivirals, and Non-steroidal anti-inflammatory drugs (NSAID). FDE is easily recognized and differentiated from other drug eruptions since it does not occur voluntarily or during infection. Case report: This case report is to spotlight the case of a 52-year-old male patient who was undergoing treatment for acute gastroenteritis and suffered from FDE due to administration of IV Ofloxacin.
A new approach for criteria weight elicitation of the ARAS-H method

Criteria weight inference is a crucial step for most of multi-criteria methods. However, criteria weights are often determined directly by the decision-maker (DM) which makes the results unreliable. Therefore, to overcome the imprecise weighting, we suggest the use of the preference programming technique. Instead of obtaining criteria weights directly from the DM, we infer them in a more objective manner to avoid the subjectivity and the unreliability of the results. Our aim is to elicit the ARAS-H criteria weights at each level of the hierarchy tree via mathematical programming, taking into account the DM’s preferences. To put it differently, starting from preference information provided by the DM, we proceed to model our constraints. The ARAS-H method is an extension of the classical ARAS method for the case of hierarchically structured criteria. We adopt a bottom-up approach in order to elicit ARAS-H criteria weights, that is, we start by determining the elementary criteria weights (i.e. the criteria at the lowest level of the hierarchy tree). The solution of the linear programs is obtained using LINGO software. The main contribution of our criteria weight elicitation procedure is in overcoming imprecise weighting without excluding the DM from the decision making process. Keywords: Multiple Criteria Decision Aiding, preference disaggregation, ARAS-H, criteria weights, mathematical programming.
Joint Disparity Estimation and Pseudo NIR Generation from Cross Spectral Image Pairs

Cross spectral stereo matching is a challenging task due to different spectral properties causing unreliable results in correspondence estimation. In this paper, we propose joint disparity estimation and pseudo near infrared (NIR) generation from cross spectral image pairs. To bridge the spectral gap between paired images, we adopt differential map operations and non-local blocks to improve the local attention and global attention of the network. The proposed network is based on unsupervised learning that consists of one encoder and two decoders, which performs both spectral translation and disparity estimation. For cooperative learning, we use difference map operation to connect two decoders, thus improving the inference ability of the decoder in regions even with large spectral differences. Experimental results show that the proposed network achieves good performance in cross spectral stereo matching for unreliable regions such as shadows and glasses. Moreover, the proposed network generates pseudo NIR images nearly the same as the ground truth even in the regions with large spectral difference. Besides, we achieve real-time speed of 27 FPS for 582×429 image pairs on RTX 2060 6G GPU due to the low computational complexity.