Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing Gates and Architectures for Superconducting Quantum Systems

Large-scale quantum computers can solve certain problems that are not tractable by currently available classical computational resources. The building blocks of quantum computers are qubits. Among many different physical realizations for qubits, superconducting qubits are one of the promising candidates to realize gate model quantum computers. In this dissertation, we present new multi-qubit gates for nearest-neighbor superconducting quantum systems. In the absence of a physical hardware, we simulate the dynamics of the quantum system and use the simulated environment as a framework for test, design, and optimization of quantum gates and architectures. We explore three different simulation-based gate design methodologies: analytical approach, heuristic method, and machine learning techniques. Furthermore, we propose novel quantum error correction architectures utilizing our new gates, which have reduced computational overhead with better performance and reliability.
REVIEW ABOUT THERAPEUTIC AND PROPHYLACTIC EFFECTS OF VITAMIN (D AND E) ON SOME RESPIRATORY VIRAL INFECTIONS, AND COVID 19

associated in other inducing immune storm which increase generation of reactive-oxygen species(ROS) that causes damage in small vessels cellular membranes extensively at viral infections durance.Vitamin E considered as one amongmany antioxidants examinedin mice in infections of influenza virus, with a leader position for its ability in blocking oxidative damage by its scavenging activity of free-radical. and some respiratory viruses, like covid 19.Retinoic acid has important role in cell differentiation and growth,where vitamin A partially can regulate viral growth. Retinoidsinfluence many of virus infections in different complex ways i.e., ifvariouslines of cellshave an infectionby the human cytomegalic-virus(hCMV), cells exposure to retinoic acid (RA) encouragesexpression of viral nucleic acid with vulnerability to infection .
Mindfulness Based Stress Reduction (MBSR) for migraine headaches in working women

Women are natural multi taskers. This enables women to manage homes, children, jobs, in laws and many more roles and responsibilities. She works like a well oiled machine shifting gears efficiently. Sometimes there are stressors in her pathway. These stressors often cause aches and pains. This paper is an attempt to alleviate migraine headaches through a Mindfulness Based Stress Reduction programme. The sample consisted of 35 working teachers of the age group 33 to 54. Purposive Sampling technique was used. All the chosen subjects were victims of migraine headaches at least twice in a month. The Five Facet Mindfulness Questionnaire (Baer, et al., 2006) was used to understand the level of Mindfulness prior to the intervention. The Holmes-Rahe Stress Inventory was used to understand the Life Stressors in the Women’s life. The intervention was carried out in 8 sessions. After the intervention, the subjects were again asked to keep a journal of their headaches. They were again assessed for mindfulness and stress. Results indicated that the headaches had reduced by 50% at least in all the women. Moreover, there was a marked improvement in their stress levels and improved awareness and non judgmental items in the Five Facet Mindfulness Questionnaire.
Glass-Based IC-Embedded Antenna-Integrated Packages for 28-GHz High-Speed Data Communications

Chip-embedded mm-wave antenna-integrated modules are demonstrated, for the first time, on panel-scale ultra-thin glass substrates, for high-speed 5G communication standards in the n257 band (26.5 – 29.5 GHz) defined by 3GPP. Co-packaging of amplifiers, filters, and antennas with minimal package parasitics is the key to realize mm-wave package systems. Parasitics arise from on-package and chip-to-package interconnects. This paper focuses on reduced chip-to-package losses and implementation of filters and antennas with chip-embedding structures in glass substrates. To demonstrate the benefits of glass-panel embedding (GPE) for 5G communications, the interconnect losses are benchmarked with the C4-bump based flip-chip technique. The electrical performance shows that the chip-embedding structure with a glass substrate lead to 3X lower insertion loss from chip to antenna than the flip-chip assembly method with C4 bumps. This reduced chip-to-antenna insertion loss brings about the enhanced efficiency and gain of the patch antennas integrated on top of the glass substrates. The process development and electrical performance are benchmarked with emerging 5G substrate technologies such as fan-out wafer level packaging.
Network Inference with Granger Causality Ensembles on Single-Cell Transcriptomic Data

Advances in single-cell transcriptomics enable measuring the gene expression of individual cells, allowing cells to be ordered by their state in a dynamic biological process. Many algorithms assign ‘pseudotimes’ to each cell, representing the progress along the biological process. Ordering the expression data according to such pseudotimes can be valuable for understanding the underlying regulator-gene interactions in a biological process, such as differentiation. However, the distribution of cells sampled along a transitional process, and hence that of the pseudotimes assigned to them, is not uniform. This prevents using many standard mathematical methods for analyzing the ordered gene expression states. We present Single-cell Inference of Networks using Granger Ensembles (SINGE), an algorithm for gene regulatory network inference from single-cell gene expression data. Given ordered single-cell data, SINGE uses kernel-based Granger Causality regression, which smooths the irregular pseudotimes and missing expression values. It then aggregates the predictions from an ensemble of regression analyses with a modified Borda count to compile a ranked list of candidate interactions between transcriptional regulators and their target genes. In two mouse embryonic stem cell differentiation case studies, SINGE outperforms other contemporary algorithms for gene network reconstruction. However, a more detailed examination reveals caveats about transcriptional network reconstruction with single-cell RNA-seq data. Network inference methods, including SINGE, may have near random performance for predicting the targets of many individual regulators even if the overall performance is good. In addition, including uninformative pseudotime values can hurt the performance of network reconstruction methods. A MATLAB implementation of SINGE is available at https://github.com/gitter-lab/SINGE.
Speaker Recognition using fusion of features with Feedforward Artificial Neural Network and Support Vector Machine

Speaker recognition is a task of identifying/verifying individual identity with the help of input voice sample. Speaker recognition is further classified into speaker identification(SI) and speaker verification(SV). Unlike other approaches using ELSDSR speech database, which only focuses on speaker identification performance, proposed work also focuses on speaker verification performance results, along with SI performance. Main goal of this research, is to find out best model for speaker identification and speaker verification system for clean speech database. Comparative study is done between performances by various combinations of features, for speaker identification and speaker verification system with Feedforward Artificial Neural Network(FFANN) and Support Vector Machine(SVM) as an classification technique using ELSDSR voice database. Features named as Linear predictive coding(LPC), Mel frequency cepstral coefficient(MFCC) and Perceptual linear prediction(PLP) are used. All features are tested separately and in fusion among each other’s with FFANN and SVM classifier on MATLAB software. Also Proposed model results are compared with some famous techniques using same ELSDSR database for speaker identification system. By comparing experimental results of proposed model and others model, it is observed that fusion of different features gives better results and speaker identification accuracy increases to 3%-5% when compared with single feature’s result. In addition, proposed method are giving best result of100% accuracy for speaker identification system and 0 equal error rate(EER) value for speaker verification system, when fusion of MFCC, LPC and PLP features are used with ANN and SVM classifier. Therefore, it can be said that fusion of MFCC, LPC and PLP features greatly enhances the speaker recognition system’s performance.
Learning from Nature: Bacterial Spores as a Target for Current Technologies in Medicine (Review)

The capability of some representatives of Clostridium spp. and Bacillus spp. genera to form spores in extreme external conditions long ago became a subject of medico-biological investigations. Bacterial spores represent dormant cellular forms of gram-positive bacteria possessing a high potential of stability and the capability to endure extreme conditions of their habitat. Owing to these properties, bacterial spores are recognized as the most stable systems on the planet, and spore-forming microorganisms became widely spread in various ecosystems. Spore-forming bacteria have been attracted increased interest for years due to their epidemiological danger. Bacterial spores may be in the quiescent state for dozens or hundreds of years but after they appear in the favorable conditions of a human or animal organism, they turn into vegetative forms causing an infectious process. The greatest threat among the pathogenic spore-forming bacteria is posed by the causative agents of anthrax (B. anthracis), food toxicoinfection (B. cereus), pseudomembranous colitis (C. difficile), botulism (C. botulinum), gas gangrene (C. perfringens). For the effective prevention of severe infectious diseases first of all it is necessary to study the molecular structure of bacterial spores and the biochemical mechanisms of sporulation and to develop innovative methods of detection and disinfection of dormant cells. There is another side of the problem: the necessity to investigate exo- and endospores from the standpoint of obtaining similar artificially synthesized models in order to use them in the latest medical technologies for the development of thermostable vaccines, delivery of biologically active substances to the tissues and intracellular structures. In recent years, bacterial spores have become an interesting object for the exploration from the point of view of a new paradigm of unicellular microbiology in order to study microbial heterogeneity by means of the modern analytical tools.
26-LB: Exenatide and Renal Outcomes in Patients with Type 2 Diabetes and Diabetic Kidney Disease: A Multicenter, Randomized, Parallel Study

Background: This trial aimed to assess the effects of exenatide, a glucagon-like peptide-1 receptor agonist (GLP-1RA), on renal outcomes in patients with type 2 diabetes mellitus (T2DM) and diabetic kidney disease (DKD). Methods: We performed a randomized, parallel study conducted in 4 general hospitals. T2DM patients with an estimated glomerular filtration rate (eGFR) ≥30 mL/min/1.73m2 and macroalbuminuria, defined as 24-hour urinary albumin excretion rate (UAER) >0.3 g/24-h, were randomized 1:1 to receive exenatide twice daily plus insulin glargine or insulin lispro plus glargine for 24 weeks. The primary outcome was percentage change in UAER after 24 weeks of intervention comparing to baseline measurement. Rates of hypoglycemia, adverse events and change in eGFR during the follow up were set as safety outcomes.Results: Between March 2016 and April 2019, 92 patients were randomized and took at least one dose of study drug. The mean age of the participants was 56 years. At baseline, the median UAER was 1512.0 mg/24-h, and mean eGFR was 70.4 mL/min/1.73 m2. After 24 weeks, exenatide reduced 29.7% of the UAER (p = 0.0255). Meanwhile, the body weight declined by 1.3 kg with exenatide (difference between groups was 2.7 kg, p = 0.0001). Comparing to the control group, lower frequency of hypoglycemia as well as more gastrointestinal adverse events were in intervention group. Conclusions: Exenatide plus insulin glargine for 24 weeks resulted in significant reduction of albuminuria in T2DM patients with DKD.Trial registration: Clinicaltrials.gov, NCT02690883. Registered 20 February, 2016, https://clinicaltrials.gov/ct2/show/NCT02690883
Web crawling and domain adaptation methods for building English–Greek machine translation systems for the culture/tourism domain

Informe tecnico sobre el trabajo realizado por Victor Manuel Sanchez Cartagena en una estancia en "Athena Research and Innovation Center", mientras estaba contratado por la empresa Prompsit Language Engineering y era colaborador honorifico en el Departamento de Lenguajes y Sistemas Informaticos de la Universidad de Alicante.
Biosurfactants : microbiology and biotechnology

Surfactants, due to their surface activity properties, are considered one of the most important and versatile class of chemical products, used for a variety of applications, such as household, environment, industry and agriculture (Deleu and Paquot, 2004). Biosurfactants are molecules that exhibit pronounced surface and emulsifying activities, produced by a variety of microorganisms. A wide range of chemical structures can be found among these compounds, such as glycolipids, lipopeptides, polysaccharide protein complexes, phospholipids, fatty acids and neutral lipids (Ahimou et al., 2001; Angelova and Schmauder, 1999; Desai and Banat, 1997; Lin, 1996; Rodrigues et al., 2006). In the beginning, biosurfactants were noticed as good hydrocarbon solubilization agents, but the interest in these molecules has increased considerably in the past five decades as an alternative to chemical surfactants (carboxylates, sulphonates and sulphate acid esters) specially in food, pharmaceutical and oil industry (Banat et al., 2000; Desai and Banat, 1997). The main reasons for the spreading interest in biosurfactants are their environmental friendly nature, since they are easily biodegradable (Mohan et al., 2006) and have low toxicity (Flasz et al., 1998), in addition to their unique structures which provide new interesting features that their chemical counterparts may lack (Nitschke and Costa, 2007). Several organic reactions (esterifications, interesterifications, transesterifications and hydrolysis) can be accomplished via chemical or biochemical catalytic synthesis. The use of biocatalysts can largely improve a process, namely reducing the operational costs as a consequence of smaller reaction times, lower energetic needs and less time consuming procedures. Therefore, it is increasing the interest on the application of biochemical catalysis for organic synthesis (Aires-Barros, 2002; Faber, 1997). An interface is any boundary between two different phases and microbial life may be more common at interfaces as evidenced by microbial biofilms, surface films, and aggregates. Given that, all microbial life is impacted by interfacial phenomena, and biosurfactants are a common mechanism by which microorganisms deal with interfacial challenges (Van Hamme et al., 2006). Additionally, these lipases have been used both for industrial (food industry, cosmetics and perfumes, biomedical, pesticides, detergents, among others) and research purposes. Lipase is the generic name given to a group of enzymes belonging to the class of hydrolases, and acts on ester bonds. These enzymes are not only able of catalyzing hydrolysis reactions, but also synthesis reactions in aqueous-restricted media, such as esterification reactions, interesterification, transesterification, alcoholysis and aminolysis, and by not acting on natural substrates (Jaeger and Eggert, 2002; Pandey et al.,1999).
Biological Studies on Aphis gossypii and Myzus persicae Infesting Cucumber and Pepper Plants in The Greenhouses دراسات بیولوجیة على حشرة من القطن Aphis Gossypii وحشرة من الخوخ الأخضر Myzus persicae التی تصیب نباتات الخیار وشجیرات الفلفل فی الصوب

The biology of the cotton aphid, Aphis gossypii on Cucumber plants, Cucumis sativus, and the green peach aphid, Myzus persicae on hot pepper plants, Capsicum annuum carried out at late 2018 Winter and early 2018 Summer, under semi-field conditions at a greenhouse in El Kom El Akhdar, Shebin El Kom, Menoufia, Egypt. Also, the accumulative population produced from one viviparous of A. gossypii & M. persicae female reared at the summer season under controlled conditions was determined. The results showed that the average life cycle of A. gossypii in winter was 8.4 days and the life span was 20.8 days, while in summer, the life cycle was 6.8 days, with 13.2 days as life span. The green peach aphid, M. persicae show some differences, the average life cycle of M. persicae in winter was 7.2 days, with 36 days as life span, 4.2 days, and 21 days in summer. The epidemiology of the two aphid species studied by isolating one viviparous female on a non-infested plant and estimating the number of insects on the plant after one and two weeks. The average number of A. gossypii population was 25 individuals after one week, which was higher than that of the green peach, M. persicae recording 16.3 individuals. After two weeks, M. persicae occupied the first rank producing 518 individuals, compared with 462.3 individuals for that of A. gossypii.
1822-P: Regulation of Trafficking of Lipids from Liver to Fat by ApoA4 in a Mouse Model of Nonalcoholic Steatohepatitis

Lipogenesis and lipolysis largely determining adipose tissues and liver lipid content, and the imbalance between them contributes to fatty liver disease and metabolic syndromes. Lipogenesis and lipolysis are regulated by nutritional signals and metabolic hormones such as insulin through multiple mechanisms. Apolipoprotein A-IV (ApoA4), secreted largely by intestine, is existed as the composition of HDL and as the free form mostly in blood. ApoA4 plays the important roles in anti-atherosclerosis and lowering blood glucose. After we found its suppressing hepatic gluconeogenesis via NR1D1/NR4A1, and promoting glucose uptake in adipose tissues through PI3K-Akt-GLUT4, we have studied the action of ApoA4 on lipid metabolism with ApoA4 knock-out mice (A4KO). We found that ApoA4 deficiency resulted in worse fatty liver in diet induced obesity (DIO) mice. ApoA4 deficiency lowered the expression of hepatic ATGL, the rate-limiting enzyme for lipolysis, but enhanced the expression of key lipogenic enzymes such as ACC and SCD1. However, the expression of ATGL was increased and the expression of ACC, SCD1, FAS as well as their transcriptional activator SREBP1 were decreased from both BAT and WAT in A4KO mice. Furthermore, ApoA4 deletion also resulted in the inhibited expression of key proteins in thermogenesis pathway SIRT1, PGC1 and UCP1. Moreover, either overexpression of ApoA4 by delivery of AAV-ApoA4 or one time injection of ApoA4 protein resulted in reversed expression of key enzymes for lipogenesis and lipolysis both in liver and adipose tissues from A4KO DIO mice. These data suggest that ApoA4 may promote lipolysis in liver, but inhibited lipolysis and enhance lipogenesis and energy metabolism in adipose tissues, implying ApoA4’s action of regulating the trafficking of lipids from liver to fat and then turn fat into energy for burning. Disclosure X. Li: None. X. Liu: None. C. Cheng: None. J. Zhou: None. J. Fan: None. S. Li: None. Funding National Natural Science Foundation of China (81770798, 81700691)
Self-Organized Critical Control of Genome Expression: Novel Scenario on Cell-Fate Decision

In our current studies on whole genome expression in several biological processes, we have demonstrated the actual existence of self-organized critical control (SOC) of gene expression at both population and single cell level. SOC allows for cell-fate change by critical transition encompassing the entire genome expression that, in turn, is partitioned into distinct response domains (critical states). In this paper, we go more in depth into the elucidation of SOC control of genome expression focusing on the determination of critical point (CP) and associated distinct critical states in single-cell genome expression. This leads us to the proposal of a potential universal model with genome-engine mechanism for cell-fate change. Our findings suggest that the CP is fixed point in terms of temporal expression variance, where the CP (set of critical genes) becomes active (ON) for cell-fate change (‘super-critical’ in genome-state) or else inactive (OFF) state (‘sub-critical’ in genome-state); this may lead to a novel scenario of the cell-fate control through activating or inactivating CP.
Mechanical design of a nested 4-layer Canted Cosine Theta (CCT) dipole

Nested CCT dipoles could be used in particle accelerators and proton therapy machines to bend a beam of charged particles in any direction. In the present study, a mechanical design of a 4 layer nested CCT dipole is evaluated with Finite Element Method (FEM). A full parametric 3D model of a 2.5 Tm 4-layer CCT dipole has been developed using the APDL scripting in the ANSYS software. The, so called, bottom up approach with direct generation of nodes and elements has been utilized, optimizing for the speed of the model generation as the time consuming meshing was bypassed. The properties of the Nb-Ti strands with the surrounding CTD-101K epoxy were obtained with a dedicated homogenization model. Resulting orthotropic properties were fully accounted for in the simulation. The shear stresses in the bonding composite layer: Kapton+S2-glass+CTD-101K were computed. With the results above the limit of 10 MPa, the necessity to provide additional rigidity against the torque was confirmed – castellated design. The shear stresses were mostly caused by thermal effects, and only ~25 % was caused by the Lorentz forces. The influence of the boundary conditions was analysed, leading to their optimal choice limiting the deformation due to Lorentz forces to 91 μm.
FeS₂ thin film photoelectrodes from nanostructured colloidal precursors

Due to the overuse of fossil fuels, there has been a steady build-up of greenhouse gasses within the atmosphere. In recent years, however, we have begun to see the negative effects of this, which has led to a need to move towards carbon-neutral or renewable energy production methods, such as solar power. Earth-abundant materials with slightly reduced efficiencies can be a more cost-effective way to generate power, using sunlight, than expensive high-efficiency materials. An example of this type of material is FeS2, however, before FeS2 can be a viable photocathode material, three main problems need to be overcome; its instability in water, high density of defect states and a conduction band minimum below the reduction potential of H2O. As such this thesis aimed to firstly overcome the problem of FeS2s conduction band minimum being below the potential of H2O. To do this, a synthetic method capable of creating quantum-confined FeS2 nanoparticles was developed, to increase the material's bandgap. By developing and implementing an inverse micelle synthesis FeS2 nanoparticles, 3.5nm in diameter and with a bandgap of 1.5 eV, were created. This thesis also addressed FeS2s high density of defect states. To overcome this problem, we investigated annealing the electrodes in different atmospheric environments. Here we found that electrodes annealed in Hydrogen and Nitrogen showed reductions in Sulphur dangling bonds, and those annealed in Sulphur showed a complete removal of any defect states. Furthermore, we aimed to increase the stability of FeS2 in aqueous environments using deposition of protective over-layers. We found that using a 3mn protective over-layer of TiO2 with a Pt co-catalyst increased the stability of FeS2 significantly, with the electrode lifetime increasing from minutes up to more than three hours. These electrodes also had a solar-to-hydrogen conversion efficiency of 0.06%.