bluuebunny/crossref_metadata_2025 huggingface dataset:
Module für die Tinnitus-Behandlung
Authors: D´Amelio Roberto , Schaaf Helmut , Kranz Detlef
Published: August 2021

Etwa 3 Millionen Erwachsene in Deutschland leiden unter einem chronischen Tinnitus, der häufig auch mit weiteren Problemen wie Schlafstörungen, Stress und Ängsten einhergeht. Der Band stellt verhaltenstherapeutisch, psychodynamisch sowie hypnotherapeutisch orientierte Module für die Behandlung des Tinnitus vor.
Nach der Vermittlung von Basiswissen zum Tinnitus, wird das Vorgehen beim Erstkontakt mit Tinnitus-Patientinnen und -Patienten beschrieben. Counseling und Psychoedukation sind Basisinterventionen, die immer am Beginn der Beratung und Therapie stehen sollten. Praxisorientiert und ergänzt mit umfangreichen Arbeitsmaterialien werden anschließend bewährte Strategien und Methoden der Verhaltenstherapie, Psychodynamischen Therapie und Hypnotherapie zur Behandlung des Tinnitus beschrieben. Um eine Anpassung der Interventionen an unterschiedliche Bedürfnisse und Rahmenbedingungen zu ermöglichen, sind die Behandlungsmodule so konzipiert, dass sie in verschiedenen Settings (z.B. Einzelsetting, offenes oder geschlossenes Gruppensetting, Workshop) und auch zur Bearbeitung von einzelnen Themen (z.B. Stressmanagement, Aufmerksamkeitslenkung) eingesetzt werden können. Der modulare Aufbau bietet Fachleuten aus der Psychologie, Psychotherapie und Medizin nicht nur eine hohe Flexibilität in der Planung und Gestaltung ihrer therapeutischen Interventionen, sondern ermöglicht auch einen Blick über den „Tellerrand“ der therapeutischen Schulen hinweg. Die zahlreichen im Buch enthaltenen Arbeitsmaterialien können nach erfolgter Registrierung von der Hogrefe Website heruntergeladen werden.
Estimation of Possible Primary Biological Particle Emissions and Rupture Events at the Southern Great Plains ARM Site
Authors: Subba Tamanna , Lawler Michael J. , Steiner Allison L.
Published: August 2021

We use 10 years of data from the Department of Energy (DoE) Atmospheric Radiation Measurements (ARM) United States Southern Great Plains (SGP) site with nearby regional pollen and fungal spore measurements to indirectly estimate the seasonal influence of these two primary biological aerosol particles (PBAP). We estimate possible primary emissions of larger PBAP and PBAP rupture events, which form submicron organic aerosol during precipitation or high relative humidity. High pollen counts at two urban stations near SGP occur during late winter/early spring (day of year (DOY) 50–120) and late summer (DOY 240–310). Around 4–19 days per year show possible pollen events (PPE) when near‐surface lidar observations of daily linear particle depolarization ratio >0.1 are coincident with high organic aerosol fraction. For PPE days with rainfall, aerosol size distribution observations show enhanced submicron particle concentrations consistent with pollen rupture events. For fungal spores, high fungal spore counts occur during late spring/early summer (DOY 110–195) and late summer/autumn (DOY 220–340). Based on size distribution observations, up to 7% of days have possible fungal spore rupture events (PFE) with higher aerosol number count specifically over the range expected for fungal spore fragment mobility diameter (20–50 nm). These short‐lived PFE correlate with rainfall or occur after prolonged exposure to rainfall (e.g., >10 h). While the SGP site lacks direct measurements of bioaerosol and large particle sizes, this analysis suggests that PBAP primary emissions and rupture events could occur about 32 days per year, representing an important component of the aerosol budget during seasonal emissions.
Randomized controlled trial of the “WISER” intervention to reduce healthcare worker burnout
Authors: Profit Jochen , Adair Kathryn C. , Cui Xin , Mitchell Briana , Brandon Debra , Tawfik Daniel S. , Rigdon Joseph , Gould Jeffrey B. , Lee Henry C. , Timpson Wendy L. , McCaffrey Martin J. , Davis Alexis S. , Pammi Mohan , Matthews Melissa , Stark Ann R. , Papile Lu-Ann , Thomas Eric , Cotten Michael , Khan Amir , Sexton J. Bryan
Published: August 2021

Objective

Test web-based implementation for the science of enhancing resilience (WISER) intervention efficacy in reducing healthcare worker (HCW) burnout.

Design

RCT using two cohorts of HCWs of four NICUs each, to improve HCW well-being (primary outcome: burnout). Cohort 1 received WISER while Cohort 2 acted as a waitlist control.

Results

Cohorts were similar, mostly female (83%) and nurses (62%). In Cohorts 1 and 2 respectively, 182 and 299 initiated WISER, 100 and 176 completed 1-month follow-up, and 78 and 146 completed 6-month follow-up. Relative to control, WISER decreased burnout (−5.27 (95% CI: −10.44, −0.10), p = 0.046). Combined adjusted cohort results at 1-month showed that the percentage of HCWs reporting concerning outcomes was significantly decreased for burnout (−6.3% (95%CI: −11.6%, −1.0%); p = 0.008), and secondary outcomes depression (−5.2% (95%CI: −10.8, −0.4); p = 0.022) and work-life integration (−11.8% (95%CI: −17.9, −6.1); p < 0.001). Improvements endured at 6 months.

Conclusion

WISER appears to durably improve HCW well-being.

Clinical Trials Number

NCT02603133; https://clinicaltrials.gov/ct2/show/NCT02603133
AHR mediates the aflatoxin B1 toxicity associated with hepatocellular carcinoma
Authors: Zhu Qing , Ma Yarui , Liang Junbo , Wei Zhewen , Li Mo , Zhang Ying , Liu Mei , He Huan , Qu Chunfeng , Cai Jianqiang , Wang Xiaobing , Zeng Yixin , Jiao Yuchen
Published: August 2021

Aflatoxin exposure is a crucial factor in promoting the development of primary hepatocellular carcinoma (HCC) in individuals infected with the hepatitis virus. However, the molecular pathways leading to its bioactivation and subsequent toxicity in hepatocytes have not been well-defined. Here, we carried out a genome-wide CRISPR-Cas9 genetic screen to identify aflatoxin B1 (AFB1) targets. Among the most significant hits was the aryl hydrocarbon receptor (AHR), a ligand-binding transcription factor regulating cell metabolism, differentiation, and immunity.AHR-deficient cells tolerated high concentrations of AFB1, in which AFB1 adduct formation was significantly decreased. AFB1 triggered AHR nuclear translocation by directly binding to its N-terminus. Furthermore, AHR mediated the expression of P450 induced by AFB1. AHR expression was also elevated in primary tumor sections obtained from AFB1-HCC patients, which paralleled the upregulation of PD-L1, a clinically relevant immune regulator. Finally, anti-PD-L1 therapy exhibited greater efficacy in HCC xenografts derived from cells with ectopic expression of AHR. These results demonstrated that AHR was required for the AFB1 toxicity associated with HCC, and implicate the immunosuppressive regimen of anti-PD-L1 as a therapeutic option for the treatment of AFB1-associated HCCs.
Full-dimensional quantum stereodynamics of the non-adiabatic quenching of OH(A2Σ+) by H2
Authors: Zhao Bin , Han Shanyu , Malbon Christopher L. , Manthe Uwe , Yarkony David. R. , Guo Hua
Published: August 2021

The Born–Oppenheimer approximation, assuming separable nuclear and electronic motion, is widely adopted for characterizing chemical reactions in a single electronic state. However, the breakdown of the Born–Oppenheimer approximation is omnipresent in chemistry, and a detailed understanding of the non-adiabatic dynamics is still incomplete. Here we investigate the non-adiabatic quenching of electronically excited OH(A2Σ+) molecules by H2 molecules using full-dimensional quantum dynamics calculations for zero total nuclear angular momentum using a high-quality diabatic-potential-energy matrix. Good agreement with experimental observations is found for the OH(X2Π) ro-vibrational distribution, and the non-adiabatic dynamics are shown to be controlled by stereodynamics, namely the relative orientation of the two reactants. The uncovering of a major (in)elastic channel, neglected in a previous analysis but confirmed by a recent experiment, resolves a long-standing experiment–theory disagreement concerning the branching ratio of the two electronic quenching channels.
High-sensitivity of initial SrO growth on the residual resistivity in epitaxial thin films of SrRuO$$_3$$ on SrTiO$$_3$$ (001)
Authors: Kar Uddipta , Singh Akhilesh Kr. , Yang Song , Lin Chun-Yen , Das Bipul , Hsu Chia-Hung , Lee Wei-Li
Published: August 2021

The growth of SrRuO$$_3$$

3

(SRO) thin film with high-crystallinity and low residual resistivity (RR) is essential to explore its intrinsic properties. Here, utilizing the adsorption-controlled growth technique, the growth condition of initial SrO layer on TiO$$_2$$

2

-terminated SrTiO$$_3$$

3

(STO) (001) substrate was found to be crucial for achieving a low RR in the resulting SRO film grown afterward. The optimized initial SrO layer shows a c(2 $$\times $$
×
2) superstructure that was characterized by electron diffraction, and a series of SRO films with different thicknesses (ts) were then grown. The resulting SRO films exhibit excellent crystallinity with orthorhombic-phase down to $$t \approx $$

t
≈

4.3 nm, which was confirmed by high resolution X-ray measurements. From X-ray azimuthal scan across SRO orthorhombic (02 ± 1) reflections, we uncover four structural domains with a dominant domain of orthorhombic SRO [001] along cubic STO [010] direction. The dominant domain population depends on t, STO miscut angle ($$\alpha $$
α
), and miscut direction ($$\beta $$
β
), giving a volume fraction of about 92 $$\%$$
%
for $$t \approx $$

t
≈

26.6 nm and $$(\alpha , \beta ) \approx $$

(
α
,
β
)
≈

(0.14$$^{\mathrm{o}}$$

o

, 5$$^{\mathrm{o}}$$

o

). On the other hand, metallic and ferromagnetic properties were well preserved down to t$$\approx $$
≈
1.2 nm. Residual resistivity ratio (RRR = $$\rho ({\mathrm{300 K}})$$

ρ
(

300
K

)

/$$\rho ({\mathrm{5K}})$$

ρ
(

5
K

)

) reduces from 77.1 for t$$\approx $$
≈
28.5 nm to 2.5 for t$$\approx $$
≈
1.2 nm, while $$\rho ({\mathrm{5K}})$$

ρ
(

5
K

)

increases from 2.5 $$\upmu \Omega $$

μ
Ω

cm for t$$\approx $$
≈
28.5 nm to 131.0 $$\upmu \Omega $$

μ
Ω

cm for t$$\approx $$
≈
1.2 nm. The ferromagnetic onset temperature ($$T'_{\mathrm{c}}$$

T
c
′

) of around 151 K remains nearly unchanged down to t$$\approx $$
≈
9.0 nm and decreases to 90 K for t$$\approx $$
≈
1.2 nm. Our finding thus provides a practical guideline to achieve high crystallinity and low RR in ultra-thin SRO films by simply adjusting the growth of initial SrO layer.
Angular and linear measurements of adult flexible flatfoot via weight-bearing CT scans and 3D bone reconstruction tools
Authors: Ortolani Maurizio , Leardini Alberto , Pavani Chiara , Scicolone Silvia , Girolami Mauro , Bevoni Roberto , Lullini Giada , Durante Stefano , Berti Lisa , Belvedere Claudio
Published: August 2021

Acquired adult flatfoot is a frequent deformity which implies multiple, complex and combined 3D modifications of the foot skeletal structure. The difficult thorough evaluation of the degree of severity pre-op and the corresponding assessment post-op can now be overcome by cone-beam (CBCT) technology, which can provide access to the 3D skeletal structure in weight-bearing. This study aims to report flatfoot deformities originally in 3D and in weight-bearing, with measurements taken using two different bone segmentation techniques. 21 such patients, with indication for surgical corrections, underwent CBCT (Carestream, US) while standing on one leg. From these scans, 3D models of each bone of the foot were reconstructed by using two different state-of-the-art segmentation tools: a semi-automatic (Mimics Innovation Suite, Materialise, Belgium), and an automatic (Bonelogic Ortho Foot and Ankle, Disior, Finland). From both reconstructed models, Principal Component Analysis was used to define anatomical reference frames, and original foot and ankle angles and other parameters were calculated mostly based on the longitudinal axis of the bones, in anatomical plane projections and in 3D. Both bone model reconstructions revealed a considerable valgus of the calcareous, plantarflexion and internal rotation of the talus, and typical Meary’s angles in the lateral and transverse plane projections. The mean difference from these angles between semi-automatic and automatic segmentations was larger than 3.5 degrees for only 3 of the 32 measurements, and a large number of these differences were not statistically significant. CBCT and the present techniques for bone shape reconstruction finally provide a novel and valuable 3D assessment of complex foot deformities in weight-bearing, eliminating previous limitations associated to unloaded feet and bidimensional measures. Corresponding measurements on the bone models from the two segmentation tools compared well. Other more representative measurements can be defined in the future using CBCT and these techniques.
Halogenases: a palette of emerging opportunities for synthetic biology–synthetic chemistry and C–H functionalisation
Authors: Crowe Charlotte , Molyneux Samuel , Sharma Sunil V. , Zhang Ying , Gkotsi Danai S. , Connaris Helen , Goss Rebecca J. M.
Published: August 2021

An overview of enzymatic tools for generation of carbon–halogen bonds and their use in enabling selective C–H functionalisation through combination of enzyme and chemo catalysis.
NMR reveals the interplay between SilE and SilB model peptides in the context of silver resistance
Authors: Babel Lucille , Nguyen Minh-Ha , Mittelheisser Cédric , Martin Marie , Fromm Katharina M. , Walker Olivier , Hologne Maggy
Published: August 2021

Illustrative sketch representative of the interplay between the SilB and SilE proteins in the context of silver bacteria resistance. In case of an excess of silver, SilE plays the role of a regulator and avoids a collapse of the silver efflux pump.
Aerobic oxidation and oxidative esterification of alcohols through cooperative catalysis under metal-free conditions
Authors: Karimi Babak , Ghahremani Mina , Vali Hojatollah , Ciriminna Rosaria , Pagliaro Mario
Published: August 2021

The ABNO@PMO-IL-Br material obtained by anchoring 9-azabicyclo[3.3.1]nonane-3-one N-oxyl within the mesopores of PMO with bridged imidazolium groups is a robust bifunctional catalyst for the metal-free aerobic oxidation of a wide variety of alcohols under oxygen balloon reaction conditions.
Spatially confined photoexcitation with triplet–triplet annihilation upconversion
Authors: Wang Zhijia , Hou Yuqi , Huo Zepeng , Liu Qiang , Xu Weiqing , Zhao Jianzhang
Published: August 2021

Spatially confined photoexcitation was achieved with triplet–triplet-annihilation upconversion, accomplished with a weak cw-laser and demonstrated by photopolymerization.
Contrasting effect of 1-butanol and 1,4-butanediol on the triggered micellar self-assemblies of C16-type cationic surfactants
Authors: Kumar Vinod , Verma Rajni , Satodia Dwarkesh , Ray Debes , Kuperkar Ketan , Aswal Vinod Kumar , Mitchell-Koch Katie R. , Bahadur Pratap
Published: August 2021

Plausible growth/structural transition in CPB micelles depicting the influence of 1-butanol (BuOH) and 1,4-butanediol (BTD) as validated from molecular dynamics simulation. Numbers in the oval-encircled molecular models indicate the distances in nm.
Surface amplification of tetraphenylporphyrin overtone and combination Raman bands in drop coating deposition Raman (DCDR) on electrically conductive surfaces
Authors: Milana Phutri , Suendo Veinardi , Pebriani Tika , Steky Fry V. , Benu Didi P. , Nurhayati  , Radiman Cynthia L.
Published: August 2021

We investigated the performance of Au, Ta, ITO glass, and Al substrates as drop coating deposition Raman (DCDR) substrates for tetraphenylporphyrin.
Position effects of the graphene-origami actuators on the rotation of a CNT nanomotor
Authors: Cai Kun , Sun Sreykeo , Shi Jiao , Zhang Chao , Zhang Yingyan
Published: August 2021

We proposed a carbon nanotube-based nanomotor model with adjustable drivers made of graphene origami. The rotor's rotation can easily be controlled by the positions of the drivers.
Novel Janus diamane C4FCl: a stable and moderate bandgap semiconductor with a huge excitonic effect
Authors: Shu Huabing
Published: August 2021

Janus diamane C4FCl with a moderate direct gap possesses a large exciton binding energy and significant optical absorption for visible and near-ultraviolet light, suggesting its potential for optoelectronic applications.
Lignin valorization for protocatechuic acid production in engineered Saccharomyces cerevisiae
Authors: Zhang Ren-Kuan , Tan Yong-Shui , Cui You-Zhi , Xin Xin , Liu Zhi-Hua , Li Bing-Zhi , Yuan Ying-Jin
Published: August 2021

A biological funnel pathway was established for the production of protocatechuic acid from lignin in engineered Saccharomyces cerevisiae.
A biobased, bioactive, low CO2impact coating for soil improvers
Authors: Weiß Renate , Gritsch Sebastian , Brader Günter , Nikolic Branislav , Spiller Marc , Santolin Julia , Weber Hedda K. , Schwaiger Nikolaus , Pluchon Sylvain , Dietel Kristin , Gübitz Georg , Nyanhongo Gibson
Published: August 2021

Development of novel, eco-friendly coating systems for application in lawn and turf management.
Thermomechanically controlled fluorescence anisotropy in thin films of InP/ZnS quantum dots
Authors: Parzyszek Sylwia , Pociecha Damian , Wolska Joanna Maria , Lewandowski Wiktor
Published: August 2021

A thin-film, macroscopic scale source of partially polarized light is achieved via self-assembly of isotropic InP/ZnS quantum dots. Such materials will play a fundamental role in designing cost-effective light-emitting devices.
Functionalized carbon nanotubes: synthesis, properties and applications in water purification, drug delivery, and material and biomedical sciences
Authors: Dubey Rama , Dutta Dhiraj , Sarkar Arpan , Chattopadhyay Pronobesh
Published: August 2021

Carbon nanotubes (CNTs) are considered as one of the ideal materials due to their high surface area, high aspect ratio, and impressive material properties, such as mechanical strength, thermal and electrical conductivity.
Immobilization of dihydroflavonol 4-reductase on magnetic Fe3O4–PEI-pMaltose nanomaterials for the synthesis of anthocyanidins
Authors: Li Tingting , Si Jingyu , Jiang Yuanyuan , Zhu Jing , Xu Zezhong , Li Xuefeng , Yang Hua
Published: August 2021

An Fe3O4–PEI-pMaltose-immobilized DFR enzyme was prepared using nano-biotechnology, which can catalyze the synthesis of anthocyanidins in vitro.
Computational study of 4,4′-dimethoxy triphenylamine donor linked with low band gap π-spacers by single and double bonds for DSSC applications
Authors: Unny Divya , Kandregula Ganapathi Rao , Ramanujam Kothandaraman
Published: August 2021

In this work, ten metal-free organic dyes based on the 4,4′-dimethoxy triphenylamine donor and cyanoacrylic acid acceptor were designed and computationally studied for their potential in DSSC.
Fabrication of Ag@Au (core@shell) nanorods as a SERS substrate by the oblique angle deposition process and sputtering technology
Authors: Sha Pengxing , Su Qingqing , Dong Peitao , Wang Tianran , Zhu Chushu , Gao Weiye , Wu Xuezhong
Published: August 2021

A highly sensitive, repeatable and stable Ag@Au core–shell nano-rod array SERS substrate was successfully prepared using the OAD process and sputtering technology which proves great potential in the field of biochemical sensing.
AgNPs decorated 3D bionic silicon nanograss arrays pattern with high-density hot-spots for SERS sensing via green galvanic displacement without additives
Authors: Wang Li , Huang Jian , Su Mei-Juan , Wu Jin-Di , Liu Weisheng
Published: August 2021

The Si nanograss arrays are directly grown on Si substrate via catalyst-assisted VLS growth and subsequent plasma interaction. AgNPs were rapidly immobilized on Si nanograss arrays for SERS sensing, without any organic reagents and additives.
Qualifying domains of student struggle in undergraduate general chemistry laboratory
Authors: Keen Clarissa , Sevian Hannah
Published: August 2021

Learning and learning goals in undergraduate chemistry laboratory have been a popular research topic for the past three decades due to calls for curriculum reform, cost justification, and overall efficacy of necessary skill development. While much work has been done to assess curricular interventions on students’ learning and attitudes towards lab, few have discussed the increased difficulties of these non-traditional laboratory activities or the obstacles students must overcome in the laboratory setting. The work presented here focuses on student struggles in undergraduate general chemistry laboratory activities, the source of these struggles, and the actions students take to overcome them. Using an activity theoretical lens and multiple domains (cognitive, epistemological, socioemotional, and psychomotor), we developed a domains-of-struggle framework which encompasses how struggles emerge through contradictions within the laboratory activity system. This framework was extended and refined through iterative analysis of two consecutive semesters of undergraduate general chemistry laboratory (GC1 and GC2) video (n = 51), survey (n = 327), and interview (n = 44) data. In this paper, we model the activity system of the general chemistry laboratory, define the domains of struggle observed, and present actions the students took to move past these obstacles, while illustrating the interconnected complexity of the activity system. We then discuss how this framework may be used in future curriculum design or teacher training, as well as potential for future research on the learning outcomes associated with moments of struggle.
Capturing dual AGN activity and kiloparsec-scale outflows in IRAS 20210+1121
Authors: Saturni F. G. , Vietri G. , Piconcelli E. , Vignali C. , Bischetti M. , Bongiorno A. , Cazzoli S. , Feruglio C. , Fiore F. , Husemann B. , Ramos Almeida C.
Published: August 2021

The most standard scenario for the evolution of massive galaxies across cosmic time assumes a correspondence based on the interplay between active galactic nuclei (AGN) feedback, which injects large amounts of energy into the host environment, and galaxy mergers, with their ability to trigger massive star formation events and accretion onto supermassive black holes. Interacting systems hosting AGN are useful laboratories for obtaining key insights into both phenomena. In this context, we present an analysis of the optical spectral properties of IRAS 20210+1121 (I20210), a merging system at z = 0.056. According to X-ray data, this object comprises two interacting galaxies, each hosting an obscured AGN. The optical spectra confirm the presence of AGN features in both galaxies. In particular, we are able to provide a Seyfert classification for I20210 North. The spectrum of I20120 South shows broad blueshifted components associated with the most intense emission lines that indicate the presence of an ionized outflow, for which we derive a maximum velocity of ∼2000 km s−1, an extension of ∼2 kpc, and a mass rate of ∼0.6 M⊙ yr−1. We also report the existence of an ionized nebular component with v ∼ 1000 km s−1 at ∼6.5 kpc southwards of I20210 South, which can be interpreted as disrupted gas ejected from the host galaxy by the action of the outflow. I20120 therefore exhibits a double obscured AGN, with one of them showing evidence of ongoing events for AGN-powered outflows. Future spatially resolved spectroscopy will allow for an accurate mapping of the gas kinematics in this AGN pair and evaluate the impact of the outflow on both the interstellar medium and the galaxy environment.
Multistability of saxophone oscillation regimes and its influence on sound production
Authors: Colinot Tom , Vergez Christophe , Guillemain Philippe , Doc Jean-Baptiste
Published: August 2021

The lowest fingerings of the saxophone can lead to several different regimes, depending on the musician’s control and the characteristics of the instrument. This is explored in this paper through a physical model of saxophone. The harmonic balance method shows that for many combinations of musician control parameters, several regimes are stable. Time-domain synthesis is used to show how different regimes can be selected through initial conditions and the initial evolution (rising time) of the blowing pressure, which is explained by studying the attraction basin of each stable regime. These considerations are then applied to study how the produced regimes are affected by properties of the resonator. The inharmonicity between the first two resonances is varied in order to find the value leading to the best suppression of unwanted overblowing. Overlooking multistability in this description can lead to biased conclusions. Results for all the lowest fingerings show that a slightly positive inharmonicity, close to that measured on a saxophone, leads to first register oscillations for the greatest range of control parameters. A perfect harmonicity (integer ratio between the first two resonances) decreases first register production, which adds nuance to one of Benade’s guidelines for understanding sound production. Thus, this study provides some a posteriori insight into empirical design choices relative to the saxophone.
A Hybrid Approach for Landmark Recognition using Deep Local Features and Residual Network-50
Authors: Nimbare Nishant , Shah Parth , Shah Shail , Mangrulkar Ramchandra
Published: August 2021

As smartphones and mobile data become universal in modern society, the opportunities to interact with the real world would grow tremendously. Latest Technologies such as Oculus Rift and Google Glass attempt to bridge the gap between the virtual and the material. With advancements in computing speed and image recognition, the idea of augmented reality (AR) becomes more tangible. However, the sheer complexity of image processing and feature recognition is an area of concern for AR. A successful AR system must distinguish among many landmarks and identify or classify the existence of new landmarks. AR algorithms naturally lend themselves to using deep learning because of the adaptability required to various factors. This paper aims to develop and refine a deep learning algorithm that can distinguish landmarks from images using a google landmark database of known landmarks. Instance-level recognition is universally used in areas of Landmark recognition and is also the upcoming research area. Instance-level recognition is the brain behind Landmark recognition. As in Landmarks, the goal is to seek an instance of a common group instead of a group, requiring new deep learning techniques. In this paper, three different VGG16, Inceptionv3, and ResNet50 models are trained using the transfer learning technique and a Pure Convolutional Neural Network (CNN) model is also trained from scratch. This paper proposes a modified version of the ResNet50 model to increase the accuracy and performance of the models used. The revised version of Resnet50 contains an additional Deep Local Features (DeLF) processing layer before generating the final output.
Lane Detection Techniques using Image Processing
Authors: Devane Vighnesh , Sahane Ganesh , Khairmode Hritish , Datkhile Gaurav
Published: August 2021

Lane detection is a developing technology that is implemented in vehicles to enable autonomous navigation. Most lane detection systems are designed for roads with proper structure relying on the existence of markings. The main shortcoming of these approaches is that they might give inaccurate results or not work at all in situations involving unclear markings or the absence of them. In this study one such approach for detecting lanes on an unmarked road is reviewed followed by an improved approach. Both the approaches are based on digital image processing techniques and purely work on vision or camera data. The main aim is to obtain a real time curve value to assist the driver/autonomous vehicle for taking required turns and not go off the road.
Deep Learning techniques for effective diagnosis of Alzheimer's disease using MRI images
Authors: Tambe Prajakta , Saigaonkar Rutuja , Devadiga Nidhi , Chitte Pallavi H.
Published: August 2021

The determination of Alzheimer’s disease (AD) from neuroimaging data such as MRI has been immensely researched over the last few years. Recent advances in deep learning from a computer perspective have advanced in that research. However, the general limitations of such algorithms depend on the large number of training images, as well as the need to carefully perform the construction of deep networks. In past few days deep learning strategies have found great achievement in the analysis of medical imaging. But very little has been done in the use of deep learning strategies to turn up and differentiate Alzheimer’s disease. We are building a deep convolutional network and demonstrating performance on the ADNI-Alzheimer’s Disease Neuroimaging Initiative Dataset. We present a deep convolutional neural network to recognize Alzheimer and differentiate according the current phase of the disease.
Sound Classification Using Python
Authors: Jadhav Swapnil , Karpe Sarvesh , Das Siuli
Published: August 2021

Sound assumes a significant part in human existence. It is one of the fundamental tangible data which we get or see from the climate and their components which have three principal credits viz. Sufficiency (Loudness of the sound), Frequency (The pitch of the sound), Timbre (Quality of the sound or the personality of the sound for example the Sound contrast between a piano and a violin). It is an event generated from the action. Humans are highly efficient to learn and recognize new and various types of sounds and sound events. There is a lot of research work going on Automatic sound classification and it is used in various real-world applications. The paper proposes an examination of an establishment disturbance classifier reliant upon a model affirmation approach using a neural organization. The signs submitted to the neural association are depicted through a lot of 12 MFCC (Mel Frequency Cepstral Coefficient) limits routinely present toward the front finish of an adaptable terminal. The introduction of the classifier, assessed as far as percent misclassification, show an exactness going between 73 % and 95 % relying upon the term of the choice window. Transmitting sound using a machine and expecting an output is considered a highly accurate deep learning task. This technology is used in our smartphones with mobile assistants such as Siri, Alexa, Google Assistant. In the case of the Google Speech recognition data set over 94 percent accuracy is obtained when trying to identify one of 20 words, silence or unknown. It is a very difficult task to recognize audio or sound events systematically and work on it for identification and give output. We are going to work on it using python programming language and some deep learning techniques. It’s a basic model that we are trying to develop, taking the next step to the innovative model that can help society and also which represent the innovative ideas of Engineering Students.
Study on Design and Implementation of Distributed Multiple Camera Surveillance and Tracking System
Authors: Jha Sureshkumar , Sawant Rohan , Shinde Parth , Kalantri Rakhi , Rajguru Shagufta
Published: August 2021

This work proposes a system to successfully track, identify and tag target objects or individuals in a real time environment. Consider a sequence of cameras installed in an environment or a facility. Through these cameras user can track those intruders who are aware of how the surveillance system operates and are actively trying to avoid getting seen by the surveillance system. This system tracks the movement of any person’s movement and record and maintain that data throughout any facility in which such a solution is deployed. Movement logging of any individual person can also be done if it does not infringe his/her privacy. Design and analysis a distributed algorithm for the optimization of the recognition and mapping of the given subject/subjects on a User Interface. Finally, the performance and robustness of the distributed system is further analyzed through continuously training the algorithm or maybe real time demo.
Automated Non-invasive Skin Cancer Detection using Dermoscopic Images
Authors: Kale Shruti , Kharat Reema , Kalyankar Sagarika , Chaudhari Sangita , Shinde Apurva
Published: August 2021

Skin Cancer is resulting from the growth of the harmful tumour of the melanocytes the rates are rising to another level. The medical business is advancing with the innovation of recent technologies; newer tending technology and treatment procedures are being developed. The early detection of skin cancer can help the chance of increase in its growth in other parts of body. In recent years, medical practitioners tend to use non invasive Computer aided system to detect the skin cancers in early phase of its spreading instead of relying on traditional skin biopsy methods. Convolution neural network model is proposed and used for early detection of the cancer, and it type. The proposed model could classify the dermoscopic images into correct type with accuracy 91.2%.
Early Stage Detection of Parkinson Disease
Authors: Navada Megha , Mishra Deepshikha , Parkar Saloni , Patil Parag , Jage Chaitanya
Published: August 2021

Parkinson’s disease is a chronic neurodegenerative condition that demonstrate the progressive loss of the ability to correlate movements mainly occurs in the elderly. For the purpose of monitoring tremors in Parkinson’s disease, a system has to be designed and developed. For coordination of movements, people with Parkinson’s, deprive of a chemical called dopamine which behaves as the messenger between the brain parts and the nervous system .Detecting Parkinson’s disease is a very arduous task as there is no evidence currently present to do this. Therefore, the main intention of our work is the designing of a system for recognizing Parkinson’s disease at an initial stage. An Android application is being designed that allows the status of PD patients to be assessed based on the tests found on the Unified Parkinson’s Disease Rating Scale approved by the Movement Disorders Society (MDS-UPDRS).
An multi-BSS multi-user full duplex MAC protocol based on AP cooperation for the next generation WLAN
Authors: Peng Meiping , Li Bo , Yan Zhongjiang , Yang Mao
Published: August 2021

Aiming at the problems of low efficiency of buffer information collection and sharp drop of system throughput caused by the aggravation of conflicts in the multi basic service set (BSS) high density deployment overlap coverage scenario of next generation wireless local access network (WLAN), an access point cooperation based multi-BSS multi-user full duplex multiple access protocol named as CMMFD is proposed. Firstly, a channel resource allocation algorithm for stations (STA) in overlapping coverage area is designed, in which, the access control (AC) equipment allocates the channel resources for all STA in response to buffer state and interference information (BI) according to the proportion of STA in the overlapped coverage area. Secondly, a BI information collection protocol process based on access point (AP) cooperation sending trigger frame is designed to collect all STA information. After receiving trigger frame, STA will access the channel and report BI information in p-probability according to the channel resources allocated by AC. Finally, a multi-BSS multi-user channel resource allocation algorithm based on full duplex is designed. AC allocates channel resources according to all BI information reported by AP, and schedules STA in the multi-BSS to carry out multi-user full duplex transmission over the sub-channel. Simulation results show that the throughput of the CMMFD protocol improves by 29.6%, compared with Mu-FuPlex protocol and EnFD-OMAX protocol.
Wind resistance calculation of large rotary mesh antenna and its influence on dynamic balance precision
Authors: Chen Pengxiang , He Erming , Yao Hanyu , Huang Junfeng , Shu Juncheng
Published: August 2021

Due to the wind resistance which acts on the main reflector of large rotary mesh antenna, the correct balancing result of satellite antenna is difficult to be gotten in the ground dynamic balancing test. In order to solve this problem, the dynamic balance method of large rotary mesh antenna which is under the influence of wind resistance in both low pressure environment and standard atmospheric pressure environment on the ground is studied. Based on the theoretical analysis and the experimental data of two-dimensional flow around circular cylinder, a new method of the large rotary mesh antenna wind resistance calculation is proposed, according to the CFD analysis of the three dimensional flow field. Through the dynamic equivalent method, the distributed wind resistance acted on the main reflector of the mesh antenna in the rotating state is equivalent to the principal vector and principal moment of the action point in each quadrant, and then transformed into the eccentric mass on the distribution plane. It provides a feasible and innovative way to estimate the influence of wind resistance on the dynamic balance accuracy of large mesh antenna, so as to compensate the wind resistance effect. Combined with the ground dynamic balancing requirements of a certain type of satellite mesh antenna, the whole finite element model of the mesh antenna is established, the simulation of ground dynamic balancing test is carried out, and the influence of wind resistance on the ground dynamic balancing results of the antenna is analyzed in this study, which provides important data for compensating the influence of wind resistance and ensuring the on-orbit balancing accuracy of the antenna.
Research on force demand of multi-layer anti-missile coorperative combat
Authors: JI Junliang , Wang Minle , Li Wei , Zhang Jingzhuo
Published: August 2021

In order to find a scientific analysis method of anti-missile force demand, the connotation of force demand of multi-layer anti-missile cooperative combat was first defined, and the relative concepts such as combat unit, firepower layer, route shortcut and assault wave were described. Then, an intercept damage model of multi-layer anti-missile coorperative combat was built. And the computing method of anti-missile firepower overlaping demand was proposed, the computing method of minimum acceptable quantity of single firepower layer anti-missile combat unit and the total force demand of multi-layer anti-missile cooperative combat were given based on the studied thinking of force demand. At last, the example of anti-missile combat was set up, which was solved with LINGO software, and it confirmed the rationality of the proposed method and the effect of each anti-missile fire layer.
Scrap : quality, preparation and pretreatment. Present and future
Authors: Birat J. P. , Huin D. , Le Coq X. , Roth J. L. , Russo P. , Lernière F. , Moriamez G.
Published: August 2021

Scrap is increasingly used as a raw material in the steel industry in response to the generation of large quantities of scrap in industrialized countries. This means that scrap is becoming an industrial product, which will be processed more and more by effective preparation equipment and which should be controlled for quality in terms of iron content, level in tramp elements and density following methods and standards under development.
Inverter startup optimization control for distributed photovoltaic power generation systems
Authors: Wang Yiwang , Zhang Bo , Zhang Yao , Song Jia , Chen Xiaogao
Published: August 2021

Photovoltaic (PV) power generation is affected by the availability and quality of sunlight. Therefore, PV power generation systems must be frequently started-up when the illumination intensity is not stable. To reduce the number of startup and shut-down events, to prolong the service time of PV inverters, and to reduce the associated impact on the power grid, a novel startup optimization control strategy for distributed PV power generation systems is proposed. The proposed algorithm can implement start–stop inverter control according to different PV power generation conditions without modifying the existing hardware architecture, thus minimizing the startup and shut-down events due to insufficient PV power generation. This protects the key equipment in the PV inverter and enhances the ability of the power grid to adapt to new power generation inputs. The proposed optimization control algorithm is verified experimentally and is found to provide a novel solution for the efficient and reliable control of distributed PV power generation systems. The research presented in this paper is expected to be applicable to numerous engineering projects.
Single-charge effects in silicon nanocrystals probed by atomic force microscopy: From charge blinking to nanocrystal charging
Authors: Mélin Thierry , Deresmes Dominique
Published: August 2021

We investigate the electrical properties of individual silicon nanocrystals (NCs) by means of atomic/electrostatic force microscopy at atmospheric pressure, with the sensitivity of the elementary charge. Using a tip bias close to the sample surface potential for the sample topography imaging, NCs reveal charge blinking properties, corresponding to multi-state charge fluctuations of their defect states. A transition from the NC charge state blinking to NC charging is observed upon biasing the atomic force microscopy tip during topography imaging, leading to both charging of the sample oxide surface and of the NCs, together with faint diffusion of the NC charge along the sample oxide surface. Our results achieved with standard atomic force microscopy demonstrate the possibility to produce experimental results on the electrostatic properties of silicon nanocrystals in the elementary charge sensitivity limit, which is of primary importance for charge-sensitive electro-optical devices.
Room-temperature ultrasensitive magnetoelastic responses near the magnetic-ordering tricritical region
Authors: Hu Cheng-Chao , Zhang Zhao , Cai Ting-Tao , Xu Yu-Xin , Hao Ji-Gong , Shi Yang-Guang , Yang Tian-Nan , Chen Long-Qing
Published: August 2021

The morphotropic phase boundary (MPB) has been recently extended from ferroelectrics to ferromagnets, especially for giant magnetostrictive materials. The giant magnetostrictive system in turn presents abundant research opportunities on MPB investigation. In this work, we demonstrate that a magnetic-ordering tricritical type MPB near room temperature can be constructed in the TbxHo1−x(Fe0.9Co0.1)2 magnetostrictive system. An ultrahigh magnetostrictive sensitivity is obtained that achieves the performance of the commercial Tb0.27Dy0.73Fe2 (Terfenol-D) polycrystal in the Tb0.2Ho0.8(Fe0.9Co0.1)2 alloy. The detailed domain microstructures near the magnetic-ordering tricritical region are determined using phase-field simulations. Our results provide the underlying insights of magnetic-ordering tricritical MPB needed to guide the design of ultrasensitive magnetostrictive materials.
Maximal spreading of droplet during collision on particle: Effects of liquid viscosity and surface curvature
Authors: Yoon Ikroh , Shin Seungwon
Published: August 2021

This study uses the level contour reconstruction method to numerically investigate the maximum spreading due to droplet collision with a dry, stationary, spherical particle. We consider a broad range of impact conditions: Weber number 30–90, Ohnesorge number 0.0013–0.7869, and droplet-to-particle size ratio 1/10–1/2, and quantitatively and systematically analyze 120 collision cases to understand how liquid viscosity and surface curvature affect the maximum spreading. The maximum spreading increases on the smaller particles for both the capillary and viscous regimes, but the underlying physics clearly differ. The increase in maximum spreading is governed mainly by the surface deformation of the rim for the capillary regime and viscous dissipation for the viscous regime. An empirical correlation that can be applied to the droplet impact on both a particle and a flat surface is also presented. The model shows good agreement with existing experimental data as well as our simulation results within a deviation range of ±15%.
Sea-level trends across The Bahamas constrain peak last interglacial ice melt
Authors: Dyer Blake , Austermann Jacqueline , D’Andrea William J. , Creel Roger C. , Sandstrom Michael R. , Cashman Miranda , Rovere Alessio , Raymo Maureen E.
Published: August 2021

Significance

The seas are rising as the planet warms, and reconstructions of past sea level provide critical insight into the sensitivity of ice sheets to warmer temperatures. Past sea level is reconstructed from the geologic record by measuring the elevations of fossilized marine sediments and coral reefs. However, the elevations of these features also record local uplift or subsidence due to the growth and decay of ice sheets since the time of deposition. We compare observations of paleo sea level across the Bahamian archipelago with a range of Earth deformation models to revise estimates of the last interglacial global mean sea level. Our results suggest that polar ice sheets may be less sensitive to high-latitude warming than previously thought.
Targeted in situ cross-linking mass spectrometry and integrative modeling reveal the architectures of three proteins from SARS-CoV-2
Authors: Slavin Moriya , Zamel Joanna , Zohar Keren , Eliyahu Tsiona , Braitbard Merav , Brielle Esther , Baraz Leah , Stolovich-Rain Miri , Friedman Ahuva , Wolf Dana G. , Rouvinski Alexander , Linial Michal , Schneidman-Duhovny Dina , Kalisman Nir
Published: August 2021

Significance

We present a generic methodology that extracts structural data from living, intact cells for any protein of interest. Application of this methodology to different viral proteins resulted in significant cross-link sets that revealed the connectivity within their structures. Importantly, we show that these cross-link sets are detailed enough to enable the integrative modeling of the full-length protein sequence. Consequently, we report the global structural organization of Nsp2 and the dimer of the nucleocapsid protein. We foresee that similar applications will be highly useful to study other recalcitrant proteins on which the mainstream structural approaches currently fail.
On the proximate Kitaev quantum-spin liquid α-RuCl3: thermodynamics, excitations and continua
Authors: Loidl A , Lunkenheimer P , Tsurkan V
Published: August 2021

This topical review provides an overview over recent thermodynamic, infrared, and THz results on the proximate Kitaev spin-liquid. Quantum-spin liquids are exotic phases characterized by the absence of magnetic ordering even at the lowest temperatures and by the occurrence of fractionalized spin excitations. Among those, Kitaev spin liquids are most fascinating as they belong to the rare class of model systems, that can be solved analytically by decomposing localized spins S = 1/2 into Majorana fermions. The main aim of this review is to summarize experimental evidence obtained by THz spectroscopy and utilizing heat-capacity experiments, which point to the existence of fractionalized excitations in the spin-liquid state, which in α-RuCl3 exists at temperatures just above the onset of magnetic order or at in-plane magnetic fields just beyond the quantum-critical point where antiferromagnetic order becomes suppressed. Thermodynamic and spectroscopic results are compared to theoretical predictions and model calculations. In addition, we document recent progress in elucidating the sub-gap (<1 eV) electronic structure of the 4d
5 ruthenium electrons to characterize their local electronic configuration. The on-site excitation spectra of the d electrons below the optical gap can be consistently explained using a spin–orbit coupling constant of ∼170 meV and the concept of multiple spin–orbital excitations. Furthermore, we discuss the phonon spectra of the title compound including rigid-plane shear and compression modes of the single molecular layers. In recent theoretical concepts it has been shown that phonons can couple to Majorana fermions and may play a substantial role in establishing the half-integer thermal quantum Hall effect observed in this material.