bluuebunny/crossref_metadata_2025 huggingface dataset:
Spin crossover metal–organic frameworks with inserted photoactive guests: on the quest to control the spin state by photoisomerization
Authors: Brachňaková Barbora , Moncoľ Ján , Pavlik Ján , Šalitroš Ivan , Bonhommeau Sébastien , Valverde-Muñoz Francisco Javier , Salmon Lionel , Molnár Gábor , Routaboul Lucie , Bousseksou Azzedine
Published: May 2021

The introduction of photoactive guest molecules into a spin crossover 3D metal organic framework alters the switchable properties of both host and guest.
Cu boosting the collaborative effect of Ni and H+ in alloyed NiCu/saponite catalysts for hydrogenolysis of glycidol
Authors: Gebretsadik Fiseha Bogale , Ruiz-Martinez Javier , González María Dolores , Salagre Pilar , Cesteros Yolanda
Published: May 2021

The effect of copper on various acid saponite supported Ni–Cu bimetallic catalysts, prepared with different Ni : Cu ratios, has been investigated for the liquid phase hydrogenolysis of glycidol.
Boron complexes of thiazole-bridged 1,5-bidentate nitrogen ligands: synthesis and acid-responsive photophysical properties
Authors: Puji Pamungkas Khurnia Krisna , Maruyama Toshifumi , Murai Toshiaki
Published: May 2021

Synthesis and photophysical properties of boron complexes of thiazole-brigded 1,5-bidentate nitrogen ligands are disclosed.
A pillar[5]arene-based 3D polymer network for efficient iodine capture in aqueous solution
Authors: Cao Jiajun , Zhu Huangtianzhi , Shangguan Liqing , Liu Yuezhou , Liu Peiren , Li Qi , Wu Yitao , Huang Feihe
Published: May 2021

A pillar[5]arene-based 3D polymer network is constructed. It possesses good stability, recyclability and high efficiency in iodine capture in aqueous solution.
Towards scalable, low dispersity, and dimensionally tunable 2D platelets using living crystallization-driven self-assembly
Authors: Ellis Charlotte E. , Fukui Tomoya , Cordoba Cristina , Blackburn Arthur , Manners Ian
Published: May 2021

Scalable low dispersity platelets were accessed through the self-assembly of crystallizable charge-terminated PFS homopolymers. The use of surfactant counteranions, as well as increasing the self-assembly temperature, improved structure fidelity.
Polyethylenes functionalized with ureidopyrimidone: synthesis, thermomechanical properties and shape memory behavior
Authors: Mei Honggang , Zhao Bingjie , Wang Huaming , Li Lei , Zheng Sixun
Published: May 2021

In this contribution, we reported an approach to functionalize polyethylene with quadruple hydrogen bonds.
Anisotropy in metal–organic framework thin films
Authors: Rahmati Zahra , Khajavian Ruhollah , Mirzaei Masoud
Published: May 2021

Crystallite orientation dependent properties in metal–organic framework thin films.
Heterogeneity induced dual luminescence properties of AgInS2 and AgInS2–ZnS alloyed nanocrystals
Authors: Kowalik Patrycja , Mucha Sebastian G. , Matczyszyn Katarzyna , Bujak Piotr , Mazur Leszek M. , Ostrowski Andrzej , Kmita Angelika , Gajewska Marta , Pron Adam
Published: May 2021

In the PL spectra of heterogeneous nanocrystals (In2S3–AgInS2 and In2S3–AgInS2–ZnS) two distinctly different peaks could be found at 430 and 710–515 nm.
Me3SI-promoted chemoselective deacetylation: a general and mild protocol
Authors: Gurawa Aakanksha , Kumar Manoj , Kashyap Sudhir
Published: May 2021

A catalytic and practical approach for the selective removal of acetyl groups using various substrates bearing orthogonal moieties has been demonstrated under ambient conditions.
Data-driven coarse-grained modeling of non-equilibrium systems
Authors: Wang Shu , Ma Zhan , Pan Wenxiao
Published: May 2021

The present work concerns non-equilibrium systems and enables accurate and efficient CG modeling that preserves non-equilibrium dynamics and is generally applicable to any non-equilibrium process and any observable of interest.
TagSNP approach for HLA risk allele genotyping of Saudi celiac disease patients: effectiveness and pitfalls
Authors: Baaqeel Reham H. , Banaganapalli Babajan , Al Mahdi Hadiah Bassam , Salama Mohammed A. , Alhussaini Bakr H. , Alaifan Meshari A. , Bin-Taleb Yagoub , Shaik Noor Ahmad , Al-Aama Jumana Yousuf , Elango Ramu , Saadah Omar I.
Published: May 2021

Background: Celiac disease (CD) is a genetically complex autoimmune disease which is triggered by dietary gluten. Human leukocyte antigen (HLA) class II genes are known to act as high-risk markers for CD, where >95% of CD patients carry (HLA), DQ2 and/or DQ8 alleles. Therefore, the present study was conducted to investigate the distribution of HLA haplotypes among Saudi CD patients and healthy controls by using the tag single nucleotide polymorphisms (SNP).

Methods: HLA-tag SNPs showing strong linkage value (r2>0.99) were used to predict the HLA DQ2 and DQ8 genotypes in 101 Saudi CD patients and in 103 healthy controls by using real-time polymerase chain reaction technique. Genotype calls were further validated by Sanger sequencing method.

Results: A total of 63.7% of CD cases and of 60.2% of controls were predicted to carry HLA-DQ2 and DQ8 heterodimers, either in the homozygous or heterozygous states. The prevalence of DQ8 in our CD patients was predicted to be higher than the patients from other ethnic populations (35.6%). More than 32% of the CD patients were found to be non-carriers of HLA risk haplotypes as predicted by the tag SNPs.

Conclusion: The present study highlights that the Caucasian specific HLA-tag SNPs would be of limited value to accurately predict CD specific HLA haplotypes in Saudi population, when compared with the Caucasian groups. Prediction of risk haplotypes by tag SNPs in ethnic groups is a good alternate approach as long as the tag SNPs were identified from the local population genetic variant databases.
A hybrid switched inductor with flexible high voltage gain boost converter for DC micro‐grid application
Authors: Al‐Hitmi Mohammed , Maroti Pandav Kiran , Iqbal Atif
Published: May 2021

A hybrid switched inductor with flexible high voltage gain boost converter for 400 V DC microgrid application is presented in the paper. The three operating modes of the converter are controlled using three switches by two‐duty ratios. The proposed converter provides flexibility in the selection of the duty cycle to achieve desired output voltage. Moreover, with two duty ratio, high gain with a wide duty range is accomplished in the proposed converter while an individual switch does not need to operate at a very large duty ratio. The power circuit analysis, operating principles, steady‐state voltage gain analysis during continuous conduction mode (CCM) and discontinuous continuous mode (DCM), boundary condition, efficiency analysis, comparison, and circuit parameter design of the proposed are presented. A closed‐loop controller design and small‐signal modeling are discussed. The dynamic behavior of the proposed converter is validated with a change in duty ratio, input voltage, and load power. A laboratory prototype converter is designed and developed to verify the model, and feasibility of different operation modes. The prototype is tested for a power range of 100 W–500 W for different duty cycles.
High-resolution LAsMA 12CO and 13CO observation of the G305 giant molecular cloud complex
Authors: Mazumdar P. , Wyrowski F. , Colombo D. , Urquhart J. S. , Thompson M. A. , Menten K. M.
Published: May 2021

Context. Understanding the effect of feedback, interaction of young massive stars with their parental giant molecular clouds, is of central importance for studies of the interstellar medium and star formation.

Aims. We observed the G305 star-forming complex in the J = 3–2 lines of 12CO and 13CO to investigate how molecular gas surrounding the central stellar clusters is being impacted by feedback.

Methods. The Atacama Pathfinder EXperiment (APEX) telescope’s Large APEX sub-Millimeter Array (LAsMA) multibeam receiver was used to observe the region. Excitation temperatures and column density maps were produced. Combining our data with data from the structure, excitation, and dynamics of the inner Galactic interstellar medium survey resulted in a 13CO J = 3−2∕2−1 excitation map. To verify whether feedback from stellar clusters is responsible for exciting the gas, the distribution of CO excitation was compared with that of 8 μm emission imaged with Spitzer, which is dominated by UV-excited emission from polycyclic aromatic hydrocarbons. Line centroid velocities, as well as stacked line profiles were examined to investigate the effect of feedback on the gas dynamics.

Results. Line profiles along radially outward directions demonstrate that the excitation temperature and 13CO J = 3−2∕2−1 ratio increase steeply by factors of ~2–3 at the edge of the denser gas traced by 13CO that faces the hot stars at the center of the complex and steadily decreases away from it. The column density also increases at the leading edge, but it does not always decrease steadily outward. Regions with a higher 8 μm flux have higher median excitation temperatures, column densities, and 13CO J = 3−2∕2−1 ratio. The centroid velocity probability distribution function of the region shows exponential wings, indicative of turbulence driven by strong stellar winds. Stacked spectra in regions with stronger feedback have higher skewness and narrower peaks with pronounced wings compared to regions with weaker feedback.

Conclusions. Feedback from the stellar cluster in G305 has demonstrable effects on the excitation as well as on the dynamics of the giant molecular cloud.
Well-posedness of evolutionary Navier-Stokes equations with forces of low regularity on two-dimensional domains
Authors: Casas Eduardo , Kunisch Karl
Published: May 2021

Existence and uniqueness of solutions to the Navier-Stokes equations in dimension two with forces in the space Lq((0, T); W−1,p(Ω)) for p and q in appropriate parameter ranges are proven. The case of spatially measured-valued forces is included. For the associated Stokes equation the well-posedness results are verified in arbitrary dimensions for any 1 < p, q < ∞.
Differenzialdiagnostische Aspekte von Herzbeschwerden: Wann Psychotherapeuten sich nicht mit einer psychologischen Ursache zufriedengeben sollten
Authors: Pazhenkottil Aju P. , Markendorf Susanne , Känel Roland von
Published: May 2021

Herzerkrankungen können sich mit vielfältigen körperlichen Beschwerden manifestieren. Diese Symptome können im Zusammenhang mit Stress oder einer psychischen Erkrankung auftreten, z. B. einer Angststörung. Allerdings helfen erst eine biopsychosoziale Anamnese und Kenntnisse zu den gängigen Krankheiten und Untersuchungen in der Kardiologie bei der Entscheidung weiter, ob Herzbeschwerden auf eine somatische Ursache abgeklärt werden sollten.
COVID-19 und Rauchen
Authors: Raspe Matthias , Bals Robert , Hering Thomas , Pankow Wulf , Rupp Alexander , Rustler Christa , Urlbauer Matthias , Andreas Stefan
Published: May 2021

Tabakrauchen geht mit einem erheblichen Gesundheitsrisiko einher. Die Mortalität durch Tabak-assoziierte Erkrankungen wird durch die WHO für das Jahr 2020 auf über 8 Millionen Menschen weltweit geschätzt. Tabakrauchen ist auch ein seit langem gut belegter Risikofaktor für unterschiedliche pulmonale Infektionserkrankungen. Somit stellt sich die Frage, ob Rauchen das Auftreten und schwere Verläufe einer SARS-CoV-2-Infektion begünstigt.

Um diese Frage zu beantworten, haben wir einen narrativen Review durchgeführt. Insbesondere haben wir systematisch nach Metaanalysen zum Thema gesucht, die im Jahr 2021 publiziert wurden. Sieben Meta-Analysen wurden identifiziert. Tabakrauchen war dabei mit einem erhöhten Risiko schwerer Krankheitsverläufe (Bereich des Odds Ratios/ORs von aktiven Rauchern vs. Nierauchern 1,55–2,19 und von ehemaligen Rauchern vs. Nierauchern 1,20–2,48) und einer erhöhten Krankenhaussterblichkeit (Bereich der ORs von aktiven Rauchern vs. Nierauchern 1,35–1,51 und ehemaligen Rauchern vs. Nierauchern 1,26–2,58) an COVID-19 assoziiert. Dabei sind offenbar neben einer direkten pulmonalen Schädigung durch das Rauchen v. a. Tabak-assoziierte Begleiterkrankungen und damit die kumulative Tabakexposition für schwere Verläufe verantwortlich. Für das Infektionsrisiko ist die Datenlage nicht eindeutig, auch wenn eine britische Studie mit über 2,4 Millionen Personen eine Assoziation von Tabakrauchen und COVID-19-typischen Symptomen beschreibt. Für die E-Zigarette und Tabakerhitzer stehen weniger Daten zur Verfügung. Laborexperimentelle und erste klinische Daten legen aber auch für diese Nikotinprodukte einen ungünstigen Einfluss auf SARS-CoV-2-Infektionen nahe.

Gerade während der SARS-CoV-2-Pandemie mit stark begrenzten therapeutischen Möglichkeiten für COVID-19 ist es wichtig, aktive Raucher auf die Gefahren des Konsums hinzuweisen und eine Entwöhnungsbehandlung zu ermöglichen, die auf einer breiten Evidenz und Erfahrung fußt. In Deutschland gibt es dabei erheblichen Nachholbedarf. Erforderlich ist daher eine Regelung, die die Kostenübernahme für wissenschaftlich gesicherte Methoden der Tabakentwöhnung durch die gesetzliche Krankenversicherung ermöglicht.
Association of VEGF and p53 Polymorphisms and Spiral Artery Remodeling in Recurrent Pregnancy Loss: A Systematic Review and Meta-Analysis
Authors: Subi Tamil Mani , Krishnakumar Vinodhini , Kataru Chandreswara Raju , Panigrahi Inusha , Kannan Meganathan
Published: May 2021

Many studies have reported the association of VEGF-1154G/A, VEGF 936C/T, and p53 Arg72Pro polymorphisms with recurrent pregnancy loss (RPL), but the outcomes are inconsistent. We have used a meta-analysis to associate these polymorphisms with RPL, having the spiral artery remodeling as a major risk factor. The studies were identified from three different reputed databases, namely ScienceDirect, PubMed/Medline, and Scopus. The eligible studies of VEGF-1154G/A, VEGF 936C/T, and p53Arg72Pro polymorphisms associated with the RPL were selected for the analysis. They were segregated into three different ethnic groups as Asians, Caucasians, and mixed population. For the analysis, the overall prevalence, odds ratio, risk ratio, relative risk ratio, and p-values were calculated. A total of 3,241 RPL cases and 3,205 healthy controls from 21 different case–control studies were analyzed. RPL was highly prevalent in the mixed population with VEGF-1154G/A and p53 Arg72Pro polymorphisms (70.04 and 66.46%, respectively) and in the Asian population with VEGF 936C/T polymorphism (53.58%). The homozygous recessive genotypes of VEGF and p53 exhibited significant association between the respective polymorphisms and RPL along with the increased risk of outcome. The current analysis conclusively reports the geographic distribution of the different genetic polymorphisms which shows high association with the progression of RPL. Understanding the spectrum of polymorphisms on different populations with the spiral artery remodeling as a risk factor encloses the importance of the vasculature during the pregnancy.
Evaluation of a Sepsis Alert in the Pediatric Acute Care Setting
Authors: Gibbs Karen DiValerio , Shi Yan , Sanders Nicole , Bodnar Anthony , Brown Terri , Shah Mona D. , Hess Lauren M.
Published: May 2021

Background Severe sepsis can cause significant morbidity and mortality in pediatric patients. Early recognition and treatment are vital to improving patient outcomes.

Objective The study aimed to evaluate the impact of a best practice alert in improving recognition of sepsis and timely treatment to improve mortality in the pediatric acute care setting.

Methods A multidisciplinary team adapted a sepsis alert from the emergency room setting to facilitate identification of sepsis in acute care pediatric inpatient areas. The sepsis alert included clinical decision support to aid in timely treatment, prompting the use of intravenous fluid boluses, and antibiotic administration. We compared sepsis-attributable mortality, time to fluid and antibiotic administration, proportion of patients who required transfer to a higher level of care, and antibiotic days for the year prior to the sepsis alert (2017) to the postimplementation phase (2019).

Results We had 79 cases of severe sepsis in 2017 and 154 cases in 2019. Of these, we found an absolute reduction in both 3-day sepsis-attributable mortality (2.53 vs. 0%) and 30-day mortality (3.8 vs. 1.3%) when comparing the pre- and postintervention groups. Though our analysis was underpowered due to small sample size, we also identified reductions in median time to fluid and antibiotic administration, proportion of patients who were transferred to the intensive care unit, and no observable increase in antibiotic days.

Conclusion Electronic sepsis alerts may assist in improving recognition of sepsis and support timely antibiotic and fluid administration in pediatric acute care settings.
Tunable guided waves in a soft phononic crystal with a line defect
Authors: Wang Yueting , Li Jian , Fu Yuxin , Bao Ronghao , Chen Weiqiu , Wang Yue-Sheng
Published: May 2021

Defects in phononic crystals may induce localized states and therefore can serve as microcavities, waveguides, or perfect mirrors. In this article, we numerically and experimentally investigate the deformation behavior and wave propagation characteristics of a defected phononic crystal, which consists of a soft porous matrix and hard inclusions along with a line defect that is introduced designedly. Static and dynamic localized states appear due to the presence of the line defect. The results show that the soft phononic crystal with the line defect can control the guided waves by harnessing the uniaxial compression, which paves a new way to design tunable elastic waveguides.
Non-infectious diseases and laying hen welfare
Authors: Groves Peter J.
Published: May 2021

Numerous non-infectious conditions can affect commercial layer flocks. Some of these, such as conditions related to bodyweight, fatty liver haemorrhagic syndrome and effects of age are common to all production systems, while some are more common in cage systems (cage layer fatigue, feather pecking) or in cage-free systems (grass impaction, smothering, sunlight exposure, cannibalism, predation and injuries). Many of these conditions are covered in other papers and will not be dealt with in here. In the present paper, emphasis will be placed on grass impaction, smothering, effects of age, exposure to high light intensities, predation and conditions related to overweight/obesity issues. All of these are of considerable welfare concern for the industry. Grass impaction is a particular issue when hens are first released to the range areas and are exposed to vegetation or other fibrous materials. Mortality can be high with this problem. Smothering episodes can be generated by sudden flock disturbances, or from overcrowding in nests or related to nest-box design. Other less well understood triggers for smothering are poorly understood but have been linked to temperature variability, retreating shade in range areas on sunny days, dust-bathing opportunities and things that attract birds to certain points in the shed. The incidence of tumours increases with hen age. Most frequently encountered tumours are leiomyomas and adenocarcinomas, both of which are associated with the reproductive tract and are presumably linked to selection for higher and more sustained egg production. The incidence of these neoplastic conditions will need better understanding if increases in flock persistency of lay are desired. Light intensity is understood to be a possible trigger of increased aggressive behaviour and can lead to increased feather pecking and cannibalism. Predation, while frequently reported, is not regarded as a major cause of loss in most farming circumstances, although individual cases can be serious and it is a major cause of concern. Obesity is becoming more recognised as a problem in layer flocks as research begins to focus on its effects. Reduction in average flock weights will be an objective for further improvement in persistency of lay in the future.
On the conformal transformation between two anisotropic fluid spacetimes
Authors: Kopiński Jarosław
Published: May 2021

We investigate the necessary conditions for the two spacetimes, which are solutions to the Einstein field equations with an anisotropic matter source, to be related to each other by means of a conformal transformation. As a result, we obtain that if one of such spacetimes is a generalization of the Robertson–Walker solution with vanishing acceleration and vorticity, then the other one has to be in this class as well, i.e. the conformal factor will be a constant function on the hypersurfaces orthogonal to the fluid flow lines. The evolution equation for this function appears naturally as a direct consequence of the conformal transformation of the Ricci tensor.
Multiple slit interference: a hyperbola based analysis
Authors: Thomas Joseph Ivin
Published: May 2021

The textbook description of multiple slit interference employs a standard path difference formula that was originally calculated for the purpose of analyzing Young’s double slit experiment. It was arrived at on the basis of a pair of assumptions that help simplify the geometry of the slit-barrier-screen arrangement and the ensuing formalism needed to estimate the positions of interference fringes on the detection screen. According to the conventional approach, convergent rays of light that emanate from different slits can be treated as effectively parallel in the far field limit. Such a parallel ray approximation-based analysis was shown by Thomas (2019; 2020) to be redundant, paradoxical and limited in accuracy. In this paper, the task of reformulation that began previously with the elementary two-slit experiment is now extended to encompass the N-slit scenario, diffraction at a single-slit and the formation of circular fringes. In order to derive one of the key results (the generalized hyperbola theorem for N-point sources), a novel computational technique called analytical induction is introduced. The procedure involves a synthesis of concepts from Cartesian geometry and discrete mathematics, namely coordinate transformation by Euclidean translation and a method of proof called the principle of mathematical induction, respectively. The final goal attained are two distribution functions that succinctly and precisely describe the variation of intensity of interference fringes on the distant screen, when it is oriented parallel and perpendicular relative to the line joining the sources. A comparison is drawn between the predictions of the conventional and the new analyses by means of numerical-graphical simulation with MATLAB. The theoretical methods and results presented herein may have a significant bearing in areas of applied optics like interferometry and diffraction crystallography. On the pedagogic front, it is suggested that the current geometrical program being visually more intuitive, be incorporated into the standard curriculum of an advanced undergraduate/graduate level course in physical optics, to complement the conventional approach.
A review of next generation bifacial solar farms: predictive modeling of energy yield, economics, and reliability
Authors: Khan M Ryyan , Patel M Tahir , Asadpour Reza , Imran Hassan , Butt Nauman Zafar , Alam Muhammad A
Published: May 2021

Photovoltaic (PV) cell technology has made great progress over the past few decades, bringing the PV energy cost down to a point where it is competitive to conventional electricity prices. While monofacial panels have historically dominated the market, recent developments in the manufacturing of bifacial panels (collecting light from both faces) have made them accessible for commercial applications. It is therefore imperative to define the design principles so that the steeply expanding market of bifacial modules and PV farms stays on an efficient path. In this paper, we will discuss physics-based models for these next-generation bifacial PV farms for analyzing yield and costs. Besides the conventional farm configurations, tracking systems are gaining market shares aiming to enhance the yield at a lower cost. Within

±

30
∘

latitudes, we predict a 20%-30% energy gain for fixed-tilt bifacial over monofacial modules and an additional 20%–40% gain for single-axis bifacial tracking. Compound systems such as agrophotovoltaics and floating PV applications may be the possible future for a sustainable merger of food-water-energy systems. We show a competing relation between active light collection on crops and energy yield in an agrophotovoltaics system vs panel density—the final design will be decided by the crop yield or light usage efficacy constraint. The output reliability in terms of soiling and module degradation is also explained in this paper. Solar farms are expected to see 2%–5% loss in revenue in Asia and the Middle East even after optimal cleaning. Additionally, the bifacial modules degrade ∼0.5%–0.6%/year. While there have been several physics-based degradation analyses, the bifacial technology lacks a large enough data set of long-term degradation studies for accurate predictions. The combined economics of reliability against yield will decide the viability of the next generation bifacial PV industry.
Effects of polycrystalline GeO2 substrates on the structural, optical and electrical properties of ZnSe thin films
Authors: Algarni Sabah E , Qasrawi A F , Khusayfan Najla M
Published: May 2021

Herein, the effects of polycrystalline germanium dioxide substrates on the structural, morphological, optical and electrical properties of zinc selenide thin films are reported. Thin films of ZnSe coated onto GeO2 are prepared by the thermal evaporation technique under vacuum pressure of 10–5 mbar. Compared to films grown onto glass substrates, ZnSe films deposited onto GeO2 exhibited narrower band gap and improved light absorbability. When ZnSe films are recoated onto gold substrates, the insertion of GeO2 layers between Au and ZnSe shifted the resonance peaks of the capacitance spectra from 527 to 711 MHz and formed new peak at 1000 MHz making the Au/ZnSe interfaces more appropriate for use as microwave cavities and as negative capacitance sources. Analysis of the conductivity spectra in the frequency domain of 10–1800 MHz revealed the domination of quantum mechanical tunneling and correlated barriers hoping of charge carriers in the samples. The fitting of the conductivity spectra assuming combined current conduction by these two mechanisms has shown that GeO2 layers increased the density of state near the Fermi level and shortened the scattering time of charge carriers. The designed Au/GeO2/ZnSe/C devices are also found to be suitable as band pass/stop filters. The notch frequency of these filters is shifted from 1420 MHz to 1050 MHz as a result of GeO2 participation in the structure of the Au/ZnSe devices.
The Hubble tension in light of the Full-Shape analysis of Large-Scale Structure data
Authors: D'Amico Guido , Senatore Leonardo , Zhang Pierre , Zheng Henry
Published: May 2021

The disagreement between direct late-time measurements of the Hubble constant from the SH0ES collaboration, and early-universe measurements based on the ΛCDM model from the Planck collaboration might, at least in principle, be explained by new physics in the early universe. Recently, the application of the Effective Field Theory of Large-Scale Structure to the full shape of the power spectrum of the SDSS/BOSS data has revealed a new, rather powerful, way to measure the Hubble constant and the other cosmological parameters from Large-Scale Structure surveys. In light of this, we analyze two models for early universe physics, Early Dark Energy and Rock 'n' Roll, that were designed to significantly ameliorate the Hubble tension. Upon including the information from the full shape to the Planck, BAO, and Supernovae measurements, we find that the degeneracies in the cosmological parameters that were introduced by these models are well broken by the data, so that these two models do not significantly ameliorate the tension.
Artificial synaptic behavior of the SBT-memristor*
Authors: Dou Gang , Dou Ming-Long , Liu Ren-Yuan , Guo Mei
Published: May 2021

The synapse of human brain neurons is not only the transmission channel of information, but also the basic unit of human brain learning and information storing. The artificial synapse is constructed based on the Sr0.97Ba0.03TiO3 – x
(SBT) memristor, which realizes the short-term and long-term plasticity of the synapse. The experiential learning and non-associative learning behavior in accordance with human cognitive rules are realized by using the SBT-memristor-based synapse. The process of synaptic habituation and sensitization is analyzed. This study provides insightful guidance for realization of artificial synapse and the development of artificial neural network.
Evolution mechanism of Weibo top news competition*
Authors: Nian Fuzhong , Li Jingzhou , Guo Xin
Published: May 2021

In a certain period, some news will compete for the top news to gain the most attention and influence, and more news will be submerged in the ocean of news and become mediocre. This article deeply studies the evolution process and competition mechanism of the dissemination of Weibo news. In this paper, we innovatively propose a pre-processing scheme for traditional small–world networks and scale–free networks and divide nodes into three roles: fans, passersby, and anti-fans. The competition mechanism of Weibo top news is defined from the aspects of node role and node aggregation degree. A network evolution model is established based on the competition mechanism. The propagation characteristics of the network evolution model are deeply analyzed, and simulation experiments are performed on the small–world network and the scale–free network. Finally, the validity and rationality of the new model are verified through comparative experiments, and a feasible scheme for the propagation of top news onWeibo is given.
Modeling and character analyzing of multiple fractional-order memcapacitors in parallel connection
Authors: Xu Xiang , Si Gangquan , Guo Zhang , Oresanya Babajide Oluwatosin
Published: May 2021

Recently, the memory elements-based circuits have been addressed frequently in the nonlinear circuit theory due to their unique behaviors. Thus, the modeling and characterizing of the mem-elements become essential. In this paper, the analysis of the multiple fractional-order voltage-controlled memcapacitors model in parallel connection is studied. Firstly, two fractional-order memcapacitors are connected in parallel, the equivalent model is derived, and the characteristic of the equivalent memcapacitor is analyzed in positive or negative connection. Then a new understanding manner according to different rate factor K and fractional order α is derived to explain the equivalent modeling structure conveniently. Additionally, the negative order appears, which is a consequence of the combination of memcapacitors in different directions. Meanwhile, the equivalent parallel memcapacitance has been drawn to determine that multiple fractional-order memcapacitors could be calculated as one composite memcapacitor. Thus, an arbitrary fractional-order equivalent memcapacitor could be constructed by multiple fractional-order memcapacitors.
Learning Design of STEM Education Through Workshop Training for Thai Teachers
Authors: Madahae S , Pisapak P , Thanyasirikul C
Published: May 2021

Learning in the 21st century is a learning that focuses on developing higher-order thinking skills and integrating sciences into a daily life. Therefore, teachers have an essential role in designing learning activities in order to encourage learners to improve problem-solving, creativities and collaborative skills. STEM education is a curriculum based on the idea of educating students in four specific disciplines including science, technology, engineering, and mathematics. These disciplines were integrated into a daily life through an engineering design process consists of 6 steps as follows: (1) Problem Identification, (2) Related Information Search, (3) Solution Design, (4) Planning and Development, (5) Testing, Evaluation and Design Improvement, and (6) Presentation. This paper is a presents teachers’ learning activities design through workshops including lecturing, Bionic hand, Floating Restaurant and hand-on activities which are developed based on STEM education to promote as a professional teacher and to respond the learning in the 21st century.
Power Generation Using Sound by Piezo Electric Material
Authors: Chaithanya D J , Anitha S , Ramya B , Aisiri A P
Published: May 2021

Pollution is a major problem all over the world. According to the energy conservation statement law states that energy cannot be created or destroyed but can be converted from one form to another. As it relates to nature, the sudden increase in urban and industrial growth has been completed with potentially hazardous waste. Sound is the electrical energy of the machine and can be converted into electrical energy through many provocative methods including heating using piezoelectric material and diaphragm. Other sounds are not preventable such as road noise, market noise, industry, train stations etc. and those unnecessary noises can be used to generate electricity. In this way we can reduce the use of piezoelectric power and energy generated by chemical materials where it is converted directly from energy to electrical energy. The widespread use of this space is to focus on how we can increase the electrical performance generated by the conversion of sound energy from non-renewable sources. When sound vibrations are in the diaphragm and are compressed and hard to convert into electrical energy.
Biometric based Fingerprint Verification System for ATM machines
Authors: Sangeetha T , Kumaraguru M , Akshay S , Kanishka M
Published: May 2021

In this modern world, almost everyone uses ATM machines which allow people to transfer and withdraw cash. This study is based on executing a fingerprint method in the ATM System. We chose this field to improve safety and security for people to make the transaction easier. The fingerprints are unique for each person. There is no insecurity of losing an ATM card and no requirement to carry an ATM card with you every time. On comparison of different technologies for ATM security, the fingerprint technology operates better and safer than others. These reasons make this mechanism an effortless and secure way of transaction and also maintains a coherent ambience with users and ATM machines. This is the most latest technology in electronic cash transactions.
Intelligent Driving detection with Health Monitoring and Accident detection System using IOT
Authors: Malathi M , Pavithra S , Preakshanashree S , Praveen Kumar S
Published: May 2021

Accidents caused because of intoxicated drive are expanding massively in this advanced world. To forestall mishaps adequately the proposed framework can be actualized. In this structure, we screen the level of alcohol usage and heart beat rate. In the event that the chauffeur is related to intoxicated journey, at that point the transport medium start framework will break off which creates the inebriated chauffeur incapable to locomote the transport medium bringing about mishap avoidance. In addition to this, if there are any atypical alternates in heart beat rate, at that point the momentum status of the chauffeur is sent to their bosom companions and relatives using iot. Since pragmatic execution in transport medium is past the extent of this task, we are actualizing the proposed framework with a dc appliance.
Electromyography in MachineLearning
Authors: Kiruthika K , Nishanthi S , Rahul A , Senathipathi K
Published: May 2021

This project is based on the utilization of AI and conclusion of electromyographic data. The information cleaning has been led dependent on the particular planned incorporation standard. Two informational collections have been organized which contains 575 facial engine nerve conduction and 233 hearable brain stem reaction reports. And afterward, four AI calculations including irregular timberland, direct relapse, uphold vector machine and strategic relapse have been appropriated to the informational collections. The exhibition correlations of precision and review rate among various calculations demonstrate that the irregular backwoods calculation has the ideal presentation over the other two collections. The correlation has been done for every calculation and the deviation normalization certainly affects the exactness outcome. Subsequently, the irregular wood is demonstrated to be an ideal calculation for PC supported finding frameworks. Besides, it merits referencing that the component selection arranged by significance can encourage clinical interpretation in analysis and symptomatic appraisal.
Design of FIR Filter Using Adaptive LMS Algorithm for Energy Efficient Application
Authors: Shanmugam Yamini , Subbiya A , Sudhakar M , Harsha Visali D
Published: May 2021

This paper presents the LMS (Least Mean Square) sub-channel. Minor square calculations have been used in many DSP programs to address the signal and are intended to create channel coefficients based on the adjusted signal. The proposed strategy reduces energy and regional consumption due to the modification of locally produced loads in terms of revised yields and previous loads. The cargo area decided to use the LMS calculation. Suggested production was completed using Modalism, a coded structure using Verilog HDL and compiled by Xilinx Vivado. Power is determined by using the Xilinx power tester with a focus on FPGA. The significant results of the proposed framework have improved the region and capacity compared to the standard FIR channel.
A Multifunctional RFID enabled Shopping Tramcar
Authors: Dhivyaa M , Brindha C , Haritha T , Gokula Kannan S , Gunanandhini S
Published: May 2021

In the diligent world with full of time restraints people run behind time. In order to save time and labor graft, we have proposed a multifunctional shopping tramcar to avoid queues in the super-market and shopping malls. The core intent of this project is to develop a robust tool with high efficiency, minimal cost and an accustomated structure for the ease of customers and retailers. The system works with the integration of 7 modules. Firstly, develop a login credentials for each customer to connect the cart with the main server through a website based login and set the budget, if it crosses the limit it notifies the customer. The products are scanned via RFID scanner. Besides, this system is embedded with a technique which intimates the product spot when searched. It also has the anti-theft mechanism feature, enabling automatic bill display and automatic payment. The sales rate could also be predicted to drop down the work of a retailer.
Intelligent Mask Detection Using Deep Learning Techniques
Authors: Anantha Prabha P , Karthikeyan G , Kuttralanathan K , Manoj Venkatesun M
Published: May 2021

Owing to the corona pandemic, the government has insisted on wearing a safety mask and maintaining 6 feet distance to get rid of CoronaVirus. The detection of people with or without masks is a challenge due to the impact of Covid pandemic. There are some models / systems which really reduce the manpower to notify the people. The existing system runs on the model: Yolov3, V G G, for face detection and MobileNetv2 for face recognition, object detection, and semantic segmentation inorder to detect the people with and without masks. The proposed system holds an approach of detecting human’s faces and classifying them into people with and without masks which has been done using image processing and deep learning and our project runs u.3nder a model called Faster RCNN. Moreover, Faster R-CNN is more accurate while other models are faster. Being effective is not important but being efficient is way more important.
Hyperspectral Image Classification Using Ensemble Transfer Learning
Authors: Murugan K R Senthil , Kishore G , Inam S Mohammed , Karthikeyan K
Published: May 2021

Today there is colossal advancement in virtual age that has achieved the improvement of various technology without trouble using contraptions and procedures specifically with in the side the fields of interchanges and measurements change to an allencompassing distance. The transmission of insights within the state of reports, pictures, voice and so on is presently available to all components of the general public and the contributions are minimal effort to a greater assortment of individuals. A basic factor is insights Compression and recovery and for that to be checked Image Compression and recovery, as pictures shape a greater a piece of measurements being traded over the net through long range informal communication and informing web locales and applications wherever on the planet. Among the entirety of the various sorts of insights pictures and films address the bulkiest measurements. Consequently, need for compacting the photo archives is a basic factor in insights correspondence.
Analysis on Multi Modal Transportation System Using Spatial Domain Inverse
Authors: Sandhya G , Suvetha S , Swathi S , Shwetha R
Published: May 2021

Transportation Recommendation is one of the navigation application for map plotting. Earlier travel guidelines are unsatisfactory for consumers, provided that only one method of transport is required to consider their recommendations (e.g. unimodal, taxes, taxis, cycles), and that conditions are generally ignored. The proposed work suggest Hydra, a multi-task, highly-learned, multi-modal transport scheme that adapts to different contextual situations (i.e. delivery and weather close-up point of interest). This uses current city transport motorized routes and big data to build a two-level infrastructure. Fresh, two-stage routing approaches can be designed using regular and multimodal and multidisciplinary routing information as well as more diverse route combinations (E.g., taxi/bicycle). Inter urban data, modes of mobility preferences, vehicle urban OD patterns, and individual profiles of latent users are collected as part of the innovation mix. With the provision of spatial reverse, the overall framework support the architecture ideas and provide better visual representation.
Facial Emotion Recognition Using Deep Learning
Authors: Vimal K.U. , Sandij S. K. , Yogesh M. , Soundarya S.
Published: May 2021

Facial emotion recognition (FER), because of its significant academic and business potential, is an important subject in the fields of computer vision and artificial intelligence. The purpose of this project is to develop an emotion detection pipeline using video frames. In particular, we detect and analyse the faces of the video through deep neural networks for the recognition of emotions. We use a CNN and an RNN based on documents submitted in the Wild Challenge for emotional recognition. An input video is divided into small segments. We will detect, crop and align faces for each segment. This gives an image sequence. A CNN will extract relevant features in the sequence for each image. These features will be sequentially feed to an RNN that encodes emotional movement and facial expressions. The entire process is carried out as a Python.
High Step-Up Super - Lift DC-DC Converter with Enhanced Response
Authors: Suguna R , Rani R , Aiswar S , Gnana Moorthy C , Mukesh E
Published: May 2021

This exertion mainly deals with the design, analysis and simulation of open loop and close loop super lift converter with PI (proportional Integral) and FOPID (Fractional Order Proportional Integral Derivative) controllers. The objectives of this system is to reduce ripple in output of High Step-Up Super –Lift DC-DC converter and to regulate yield voltage of High Step-Up Super –Lift DC-DC converter using PI/FOPID controller. The upshots are contrasted in terms of Settling time and steady state error. FOPID controlled closed loop super lift converter showed the superior performance.
A smart AIS based portable wireless electric charging vehicles
Authors: Rani K S , Suguna R , Kumar R Senthil , raj C P Harish , Ram P Sri , Haran V Hari
Published: May 2021

As the production of electric vehicle has scaled up in the recent years in order to meet the objective of lowering the carbon footprint and eco-friendly transportation. The raise in the production of electric vehicles in accordance with hike in the price of petroleum and diesel has shifted the huge market share of the automobile industry from ICE engines to the battery powered engines. The shift in turn pushes the demand for installation of charging stations for electric vehicles at most locations. But the installation of such EV charging base stations requires high capital and sophisticated spatial infrastructure in densely populated area. Therefore, the paper proposes the AIS based mobile wireless charging system for electric vehicles which is cost effective and reliable. The system is best suited for densely populated areas, parking arenas at theatres, malls, parks etc., The Wireless Sensor Network is implemented to effectuate adaptive intelligent system, therefore leading to better accuracy and modularity.
Advanced Deep Learning Model for Future Forecasting of COVID-19
Authors: Lavanya  , Suganya R , Kanmani R. , Godwin Joyal S.
Published: May 2021

The roll out of corona virus (COVID-19) in the entire every country has put the mankind in danger. The assets of the absolute biggest economies are worried because of the enormous infectivity and contagiousness of this sickness. The capacity of machine learning models to conjecture the quantity and number of impending peoples influenced by corona virus which is by and by took as a possible danger for humankind. Specifically, Three layer of determining models, least outright shrinkage and choice administrator (LASSO) Support vector Machine – deep learning have been utilized in this investigation to estimate the undermining components of corona virus. Minimum Three kinds of expectations are proposed by every one of the systems, like the quantity of recently tainted reports, the quantity of passing’s, and the quantity of recuperations But in the can’t foresee the exact outcome for the patients. To defeat the issue, Proposed strategy utilizing the long Short-term Integrated Average (LSTIA) foresee the quantity of COVID-19 cases in next 30 days ahead and impact of preventive estimates like social segregation and lockdown on the Roll out of corona virus.
An Advanced Inductively Coupled Wireless Charging System For Electric Vehicle Applications
Authors: Elakya A , Abitha Shree K J , Ahil D , Bhobalan V , Elamano P
Published: May 2021

Any day today, the globe transitions to electrified transportation, reducing non-renewable fossil fuel pollutant emissions. Electromagnetic energy is transferred from the power source to the electrical charge without interconnection wires and the operation is carried out in every device. Electric cars are seen in the potential mobility area to be substitutions for the vehicles propelled by oil fueled internal combustion engine. In this project wireless charging technologies are examined using the inductive coupling approach. Numerous factors, including magnetic flow, inductance of the resonant bob, determine the performance of wireless power transfer and mutual inductance. The paper focuses in particular on static (stationary) charge, while dynamic loading (loading during driving) involves a dramatically different method. The Multi-Load method is modelled and the efficiency expression for each charge is determined with a different resonant frequency.