Miracle-dz/UniFAR-FTUs huggingface dataset:
Simultaneous classiﬁcation and location of volcanic deformation 1 in SAR interferograms using a convolutional neural network

13 This manuscript is an EarthArXiv preprint that has been submitted to Journal 14 of Geophysical Research: Solid Earth. It has previously undergone peer review with 15 Remote Sensing of Environment, but was deemed outside the remit of the journal. 16 With the evolution of InSAR into a tool for active hazard monitoring, new meth-17 ods are sought to quickly and automatically interpret the large number of interferograms 18 that are created. We present a convolutional neural network (CNN) that is able to both 19 classify the type of deformation, and to locate the deformation within an interferogram 20 in a single step. We achieve this through building a “two headed model", which returns 21 both outputs after one forward pass of an interferogram though the network. We train our 22 model by ﬁrst creating a dataset of synthetic interferograms, but ﬁnd that our model’s per-23 formance is improved through the inclusion of real Sentinel-1 data. When building models 24 of this type, it is common for some of the weights within the model to be transferred from 25 other models designed for diﬀerent problems. Consequently, we also investigate how to 26 best organise interferograms such that the ﬁlters learned in other domains are sensitive to 27 the signals in interferograms, but ﬁnd that using diﬀerent data in each of the three input 28 channels degrades performance when compared to the simple case of repeating wrapped 29 or unwrapped phase across each channel. We also release our labelled Sentinel-1 inter-30 ferograms as a database named VolcNet, which consists of ∼ 500 , 000 labelled interfero-31 grams. VolcNet comprises of time series of unwrapped phase and labels of the magnitude, 32 location, and duration of deformation, which allows for the automatic creation of interfer-33 ograms between any two acquisitions, and greatly increases the amount of data available 34 compared to other labelling strategies.
The Stability of DNA binding with Bisintercalating Anthracyclin: A Theoretical Study

The theory of cooperative transitions has been applied to explain the stability and melting behavior of bisintercalating anthracyclin (WP762) with herring sperm DNA. For implementing present study, the experimental models of Portugal et al.(2005) have been used. The transition profiles and heat capacity curves are best explained in terms of two variable parameters, namely nucleation and propagation parameters. The sharpness of transition has been examined in terms of half width and sensitivity parameter (ΔH/σ). The conclusion of theoretical analysis recommended that the different parameters, for example, transition profile, heat capacity curve, sharpness of the transition and half widths are in good agreement with the experimental measurements
A comparison of TCP congestion control algorithms for video streaming over LTE in autonomous vehicle scenarios

Many TCP congestion control algorithms (CCAs) that were originally built for wired networks are still used to dictate packet transmission for flows that operate over wireless, lossy LTE channels today. These algorithms perform poorly in these channels, over reacting to loss that occurs from factors other than packet loss. This study performs a comparison of a variety of TCP algorithms in order to find one that avoids these shortcomings and utilises available LTE bandwidth. Studies such as [29] fail to realistically model the environment in which real LTE flows operate over. These studies evaluate TCP performance over LTE assuming user equipment is stationary, handover is not occurring etc. This study will attempt to emulate a real world LTE scenario that takes these factors into account. The results show that most TCP CCAs are incapable of fully utilising available LTE resources. The exception to this is TCP BIC which aggressively recovers from loss events to achieve high goodput. An honorable mention is given to TCP BBR which demonstrates the most potential of the TCP variants up for comparison.
Novel Fluorescent Probe for Lead Ion Detection Based on DNAzyme

A novel fluorescent probe for Pb2+ was obtained,in which the quencher modified 17E DNAzyme and the fluorophore-modified substrate strand were connected through 6 adenine deoxynucleotides.Due to the intramolecular hybridization between 17E DNAzyme and the substrate strand,the quencher was closed to the fluorophore and it resulted in fluorescence quenching.In the presence of Pb2+,the substrate strand was cleaved under the catalysis of enzyme strand,and the fluorophore-modified fragment was released,which resulted in the increase of fluorescence.Pb2+ could be rapidly detected at room temperature based on this principle,and the limits of detection were 10 nmol/L.For divalent metal ions,such as Zn2+,Mn2+,Co2+,Cd2+,Cu2+,Mg2+ and Ni2+,only Zn2+,Mn2+ and Cd2+ showed a slight increase of fluorescence intensity while all the other metal ions gave approximately background intensity.It is demonstrated that the novel fluorescent probe has a good selectivity to Pb2+.
Reiterating National Identities The European Union Conception of Conflict Resolution in Northern Ireland

The Haagerup Report commissioned by the European Parliament in 1984 was the first major initiative taken by the European Union (EU) on the situation of conflict in Northern Ireland. It embodied a conceptualization of the conflict as between two national identities defined in relation to the Irish border. The EU’s self-ascribed role towards a settlement in Northern Ireland since that time has followed this vein by supporting the peaceful expression of British and Irish identities rather than reconstructing them or creating alternatives. This nation-based approach is encapsulated in the 1998 Good Friday Agreement between the governments of the UK and Ireland and political parties in Northern Ireland. Through detailed analysis of the Haagerup Report in the light of the peace process in Northern Ireland as a whole, this article assesses the implications of conceptualizing Northern Ireland as a clash of national identities for resolution of the conflict and argues for a subsequent reconsideration of the EU’s role in conflict resolution.
Trade dynamics and export supply function of Indian groundnut

India is the leading groundnut exporter to world market. Direction of trade has changed over the period. Sphere of groundnut export has narrowed down from European nations during 1995-96 to Asian markets during 2014-15, with lost shares in UK, Netherland, Egypt, USA and Russia to Vietnam, Thailand, Pakistan, China, Ukraine and UAE. Indonesia was identified as highest loyal market followed by Malaysia. To identify the factors influencinggroundnut export, Cointegration and Vector Error Correction Model were used. Export was found to increase significantly with export price and exchange rate and decrease significantly with increase in domestic price andincrease in population. Speed of adjustment indicates the adjustment to the long-run equilibrium from short run shocks. Result highlights to target European market, the largest importer of groundnut in world.
CMAR_A_281203 2995..3004

1Department of Thoracic Surgery, Yantai Affiliated Hospital of Binzhou Medical University, Shandong, People’s Republic of China; 2Binzhou Medical University, Shandong, People’s Republic of China; 3Department of Thoracic Surgery, Yantai Mountain Hospital, Shandong, People’s Republic of China Background: The role of microRNA (miR) in tumors has been reported in numerous articles. Previous studies have found that miR-130a is low expressed in lung cancer, but the related mechanism has not been fully elucidated. This study mainly explores the mechanism of miR-130a in lung cancer, so as to provide potential therapeutic targets for clinical applications. Methods: Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression of miR-130a and KLF3 in the tissues of lung cancer patients. The miR-130amimics and miR-130a-inhibit were constructed. Cell proliferation, invasion, migration and apoptosis were determined by CCK-8, transwell, scratch test and flow cytometry. Western Blot was used to determine the expression of KLF3 protein in cells, and the dual-luciferase reporter to determine the relationship between KLF3 and miR-130a. Results: miR-130a shows low expression in NSCLC patients, while KLF3 shows high expression, exhibiting a negative correlation. The 5-year survival rate of patients with low miR-130a expression and high KLF3 expression was reduced. Cox regression analysis showed that miR-130a was an independent prognostic factor for NSCLC patients. The dualluciferase reporter revealed that miR-130a bound to KLF3 in a targeted manner, and cell experiments showed that miR-130a could inhibit the growth of lung cancer cells by regulating the expression of KLF3. Conclusion: miR-130a shows low expression in lung cancer and predicts a poor prognosis. In addition, up-regulation of miR-130a can down-regulate KLF3 and inhibit the growth of lung cancer.
Extended State Observer based Double Hyperbolic Reaching Law for DC Motor

1Research Scholar, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India 2Professor, Department of Electronics and Telecommunication, JSPM’S Jayawantrao Sawant College Of Engineering, Hadapsar, Pune, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract This paper proposes an extended state observer (ESO) based double hyperbolic reaching law for position control of direct current (DC) motor. The double hyperbolic reaching law is made implementable when the complete state vector is not measurable. The closed loop stability is derived. The effectiveness of the proposed scheme is proved by considering different types of uncertainties and disturbances with various types of reference trajectories.
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond

This paper focuses on visual counting, which aims to predict the number of occurrences given a natural image and a query ( e.g . a question or a category). Unlike most prior works that use explicit, symbolic models which can be computationally expensive and limited in generalization, we propose a simple and effective alternative by revisiting modulated convolutions that fuse the query and the image locally. Following the design of residual bottleneck, we call our method MoVie , short for Mo dulated con V olut i onal bottl e necks. Notably, MoVie reasons implicitly and holistically and only needs a single forward-pass during inference. Nevertheless, MoVie showcases strong performance for counting: 1) advancing the state-of-the-art on counting-speciﬁc VQA tasks while being more efﬁcient; 2) outperforming prior-art on difﬁcult benchmarks like COCO for common object counting; 3) helped us secure the ﬁrst place of 2020 VQA challenge when integrated as a module for ‘number’ related questions in generic VQA models. Finally, we show evidence that modulated convolutions such as MoVie can serve as a general mechanism for reasoning tasks beyond counting.
DAM-Net: Robust QA System with Data Augmentation and Multitask Learning

While a plentitude of models has shown on-par performance with humans on question answering (QA) given context paragraph, several works have shown that they generalize poorly on datasets that are dissimilar to their training distributions. In this project, we aim to train and fine-tune a robust QA model that can achieve strong performance even on test examples drawn from out-of-domain distributions. Specifically, we perform data augmentation on our training data, expand training with the auxiliary task (i.e. fill-in-the-blank), and utilize multi-domain training and additional fine-tuning. We further combine all three approaches using ensemble, which offers additional performance boost. Our best model achieves EM/F1 score of 40.58/55.68 on the validation set and EM/F1 score of 45.14/62.16 on the test set, ranking top 1 on both the validation and test leaderboards (as of Mar 16, 2021).
Strawberry response cv. Albion at increasing doses of zinc

The Zn is a micronutrient that has an important influence on the growth, yield and quality of crops. The objective of the present work was to evaluate the effect of increasing doses of Zn in the nutrient solution on the growth, yield and quality of the fruit in strawberry cv. Albion. For which strawberry plants were established in 2.5 L pots with tezontle, in an open hydroponic system. The treatments were: control (without application of Zn), 1, 2.5, 5, 7.5, 10, 15, 20, 30 and 40 μmol L of Zn (ZnSO4 7H2O) in the nutrient solution. The yield was increased 151, 161 and 134% with the doses of 5, 7.5 and 10 μmol L, respectively. With a dose of 7.5 μmol L, the biomass of the plant increased 60%, 93% the fresh weight of the fruits and 24% its firmness. With the doses from 2.5 to 15 μmol L the total soluble solids (SST), titratable acidity (AT), the SST/AT ratio and the concentration of total soluble sugars were increased. The best foliar concentration of Zn (sufficiency) (22 mg kg of dry matter) was recorded with 7.5 μmol L. Therefore, it is suggested to use Zn doses between 5 and 15 μmol L in the nutrient solution to satisfactorily cover the requirement of this cultivar.
Diagnosis of Clostridium perfringens infection (Necrotic enteritis) in a flock of Giriraja birds

Necrotic enteritis is the bacterial disease of the intestinal tract of chicken caused by caused by Clostridium perfringens, type A and C. The present study was done in the backyard chicken, presented to the veterinary dispensary, Jeelakarragudem, West Godavari district, Andhra Pradesh. A poultry farmer brought 2 Giriraja birds for the necropsy and with a history of mortality of 5-week-old birds @ one bird per day for 3 days continuously in a flock of 50 birds without showing any obvious clinical signs except for off feed and listlessness. Upon necropsy, the lesions found were ballooning of small intestines, turkish towel like appearance of the mucosa of the small intestine, distended caecum with blood-tinged contents and liver with foci of necrosis. The impression smears taken from cut portions of liver and intestines showed violet-coloured gram-positive rod-shaped organisms with Grams stain. With spore stain, greenish spores and brownish red to pink vegetative forms were observed. Conclusively, the organism is presumably diagnosed as Clostridium species and the disease as Necrotic enteritis.
Comparative Analysis of CNN Architectures

: This paper presents with a detailed comparison of 3 popular models of Convolution Neural Networks and their performance of popular datasets. The models compared are LeNet, AlexNet and VGG-16. These models are run on mnist and iris datasets using the same number of epochs, learning rate and sample size in order to bring about a fair comparison.
Case Report: A five-year follow up after pediatric renal transplantation using flow cytometry crossmatch and HLA immunophenotyping based on DNA for screening test

Background: There are three methods for renal replacement therapy for end stage chronic kidney disease; dialysis, continuous ambulatory peritoneal dialysis, and renal transplantation which is the best because of the least morbidity rate, the best survival rates, the best quality of life, and the best improvement in activities of daily living. In the field, flow cytometry serves a well-established role in pre- and post-transplant crossmatching, and if it is combined with human leukocyte antigen (HLA) immunophenotyping based on DNA, it will produce a more sensitive prediction of the chronic graft rejection compared to complement-dependent cytotoxicity crossmatching and can eliminate irrelevant antibody (IgM). This is the first experience using this method in our hospital. The survival rate at one, five and ten years has been shown to be 99%, 97% and 96%, respectively; therefore, we wanted to find out the five year follow up of the patient. Case presentation: We evaluated a 20-year-old female with a history of pediatric renal transplantation five years previously due to end stage renal disease caused by bilateral parenchymatous renal disease. She had a history of hypertension since December 2014 and underwent hemodialysis for three months. The transplantation took place in March 2015. A kidney from her mother was transplanted to recipient using end-to-side anastomoses. After five years, the patient was routinely monitored at the urology clinic, with creatinine serum results between 1.5 and 2 mg/dL, urea and electrolyte serum levels within normal limits and she could resume normal life. Conclusions: Survival five years after the procedure showed a beneficial outcome of the method used.
Text as Neural Operator: Complex Image Manipulation by Text Instruction

In recent years, text-guided image manipulation has gained increasing attention in the image generation research ﬁeld. Recent works have proposed to deal with a simpliﬁed setting where the input image only has a single object and the text modiﬁcation is acquired by swapping image captions or labels. In this paper, we study a setting that allows users to edit an image with multiple objects using complex text instructions. In this image generation task, the inputs are a reference image and an instruction in natural language that describes desired modiﬁcations to the input image. We propose a GAN-based method to tackle this problem. The key idea is to treat text as neural operators to locally modify the image feature. We show that the proposed model performs favorably against recent baselines on three public datasets.
Utilization of ADL performance tests to predict expected functional status in patients after stroke

The main objective of this paper is the study of patient self-sufficiency functional tests in the early rehabilitation stage of stroke, and their further development in relation to the initial disability severity. Attention is paid to the identification of links between the first weeks of early rehabilitation therapy and the patients’ state one year after their discharge from the early rehabilitation ward. There were 87 patients in early rehabilitation wards in three different parts of the Czech Republic. One year after their discharge, 29 of them were tested again. The FIM (Functional Independence Measure) values from the follow-up check statistically significantly correlate with the severity of patients’ functional disability at the time of admission one year ago (at the significance level of 0.05), more severe patients improved more than less severe ones. The same applies if we look at the effect of the number of days between the first onset of stroke and the admission to the early rehabilitation ward (at the significance level of 0.05). The sooner the patients were admitted, the bigger the improvement they could achieve. Monitoring of changes in the functional state and the self-sufficiency progress in stroke patients is crucial for rehabilitation indication and the tracking of its outcomes. In the Czech Republic, unfortunately, we still tend to look for unified criteria for disability evaluation, and many patients must pass through the rehabilitation system without clear guidance.
Evaluation of Water Quality and Heavy Metal Pollution in the Shoots and Roots of Aquatic Plants

The safety of vegetables has been an issue of public concern in recent years. Thus, heavy metals (Cu, Cd, Mn, Pb, Zn and Fe) in the shoot and root of Sacciolepis africana, Ceratophyllun demersum and Pistia stratiotes in Owena reservoir, Nigeria were tested using Atomic Absorption Spectrophotometer while some Physico-chemical parameters of water were measured using multi parameter hand-held meter. The water quality result revealed that the average temperature, turbidity, conductivity, dissolved oxygen and pH were 27.77oC, 7.21NTU, 101. 83Ω/S, 6.95mg/l and 6.55 respectively. The single factor pollution index showed that Temperature (0.93), DO (0.99) and pH (0.99) fell within the category of slight pollution while turbidity (1.20) and conductivity (1.02) fell within the medium pollution category. Sacciolepis africana bio-concentrated more heavy metals than Ceratophyllun demersum and Pistia stratiotes. The HRIs of Cu, Cd, Mn, Zn and Fe indicated no risk since all values were less than 1. However, there was a potential risk for Pb through the consumption of the plants despite that the HRI of the shoot of Ceratophyllun demersum (0.65) and root of Pistia stratiotes (0.46) were less than 1. The THQ and HI values for the root and shoot of all the vegetables were less than 1, indicating that they are unlikely to result in any chronic systemic risk-averse health effects.
Analysis and Prediction of Electromobility and Energy Supply by the Example of Stuttgart

This paper seeks to identify bottlenecks in the energy grid supply regarding different market penetration of battery electric vehicles in Stuttgart, Germany. First, medium-term forecasts of electric and hybrid vehicles and the corresponding charging infrastructure are issued from 2017 to 2030, resulting in a share of 27% electric vehicles by 2030 in the Stuttgart region. Next, interactions between electric vehicles and the local energy system in Stuttgart were examined, comparing different development scenarios in the mobility sector. Further, a travel demand model was used to generate charging profiles of electric vehicles under consideration of mobility patterns. The charging demand was combined with standard household load profiles and a load flow analysis of the peak hour was carried out for a quarter comprising 349 households. The simulation shows that a higher charging capacity can lead to a lower transformer utilization, as charging and household peak load may fall temporally apart. Finally, it was examined whether the existing infrastructure is suitable to meet future demand focusing on the transformer reserve capacity. Overall, the need for action is limited; only 10% of the approximately 560 sub-grids were identified as potential weak points.
MOVEMENT PREDICTION AND ALERT GENERATION IN SLACK USING MOTION SENSORS INTEGRATED WITH MOBILE ADHOC NETWORKS

Applications of Mobile Ad-Hoc Networks under Wireless Sensor Networks are drastically growing for various purposes in recent days. One of the major and important real-time applications is monitoring and predicting human and objects' abnormal activities. Children missing, older people participating, and unknown people involving in a family or private party should be monitored and identified to take care of all. Some of the applications like strange people, children, and old age people need to be watched to generate alert messages to save them. In this paper, motion sensors interconnected into concentric's IoT sensor network is considered as the background network and surveillance application is deployed. Then mobile nodes are deployed and connected to the network to receive the alert message to know the abnormal activity and its location. It helps to provide immediate prevention to save the people and avoid dangers. New IoT gateway products are launched with battery-powered sensors and wireless suites. All the motion sensors are connected with Node.js software development kit for broadcasting alerts whenever an abnormal activity happens. The experimental results are verified and evaluated through Twilio API, where it interconnects anyone from anywhere. The experimental results show that this kind of application is very much useful in real-time.