bluuebunny/crossref_metadata_2025 huggingface dataset:
Controlling nonlinear dynamical systems into arbitrary states using machine learning
Authors: Haluszczynski Alexander , Räth Christoph
Published: June 2021

Controlling nonlinear dynamical systems is a central task in many different areas of science and engineering. Chaotic systems can be stabilized (or chaotified) with small perturbations, yet existing approaches either require knowledge about the underlying system equations or large data sets as they rely on phase space methods. In this work we propose a novel and fully data driven scheme relying on machine learning (ML), which generalizes control techniques of chaotic systems without requiring a mathematical model for its dynamics. Exploiting recently developed ML-based prediction capabilities, we demonstrate that nonlinear systems can be forced to stay in arbitrary dynamical target states coming from any initial state. We outline and validate our approach using the examples of the Lorenz and the Rössler system and show how these systems can very accurately be brought not only to periodic, but even to intermittent and different chaotic behavior. Having this highly flexible control scheme with little demands on the amount of required data on hand, we briefly discuss possible applications ranging from engineering to medicine.
Mobile phones of paediatric hospital staff are never cleaned and commonly used in toilets with implications for healthcare nosocomial diseases
Authors: Olsen Matthew , Lohning Anna , Campos Mariana , Jones Peter , McKirdy Simon , Alghafri Rashed , Tajouri Lotti
Published: June 2021

An ever-increasing number of medical staff use mobile phones as a work aid, yet this may pose nosocomial diseases. To assess and report via a survey the handling practices and the use of phones by paediatric wards healthcare workers. 165 paediatric healthcare workers and staff filled in a questionnaire consisting of 14 questions (including categorical, ordinal and numerical data). Analysis of categorical data used non-parametric techniques such as the Chi-squared test. Although 98% of respondents (165 in total) report that their phones may be contaminated, 56% have never cleaned their devices. Of the respondents that clean their devices, 10% (17/165) had done so with alcohol swabs or disinfectant within that day or week; and an additional 12% respondents (20/165) within that month. Of concern, 52% (86/165) of the respondents use their phones in the bathroom, emphasising the unhygienic environments in which mobile phones/smartphones are constantly used. Disinfecting phones is a practice that only a minority of healthcare workers undertake appropriately. Mobile phones, present in billions globally, are therefore Trojan Horses if contaminated with microbes and potentially contributing to the spread and propagation of micro-organisms as per the rapid spread of SARS-CoV-2 virus in the world.
Genome-enabled discovery of evolutionary divergence in brains and behavior
Authors: Patil Chinar , Sylvester Jonathan B. , Abdilleh Kawther , Norsworthy Michael W. , Pottin Karen , Malinsky Milan , Bloomquist Ryan F. , Johnson Zachary V. , McGrath Patrick T. , Streelman Jeffrey T.
Published: June 2021

Lake Malawi cichlid fishes exhibit extensive divergence in form and function built from a relatively small number of genetic changes. We compared the genomes of rock- and sand-dwelling species and asked which genetic variants differed among the groups. We found that 96% of differentiated variants reside in non-coding sequence but these non-coding diverged variants are evolutionarily conserved. Genome regions near differentiated variants are enriched for craniofacial, neural and behavioral categories. Following leads from genome sequence, we used rock- vs. sand-species and their hybrids to (i) delineate the push–pull roles of BMP signaling and irx1b in the specification of forebrain territories during gastrulation and (ii) reveal striking context-dependent brain gene expression during adult social behavior. Our results demonstrate how divergent genome sequences can predict differences in key evolutionary traits. We highlight the promise of evolutionary reverse genetics—the inference of phenotypic divergence from unbiased genome sequencing and then empirical validation in natural populations.
Evaluation of a revised resuscitation protocol for out-of-hospital cardiac arrest patients due to COVID-19 safety protocols: a single-center retrospective study in Japan
Authors: Kandori Kenji , Okada Yohei , Ishii Wataru , Narumiya Hiromichi , Iizuka Ryoji
Published: June 2021

This study aimed to determine the association between cardiopulmonary resuscitation (CPR) under the coronavirus 2019 (COVID-19) safety protocols in our hospital and the prognosis of out-of-hospital cardiac arrest (OHCA) patients, in an urban area, where the prevalence of COVID-19 infection is relatively low. This was a single-center, retrospective, observational, cohort study conducted at a tertiary critical care center in Kyoto City, Japan. Adult OHCA patients arriving at our hospital under CPR between January 1, 2019, and December 31, 2020 were included. Our hospital implemented a revised resuscitation protocol for OHCA patients on April 1, 2020 to prevent COVID-19 transmission. This study defined the conventional CPR period as January 1, 2019 to March 31, 2020, and the COVID-19 safety protocol period as April 1, 2020 to December 31, 2020. Throughout the prehospital and in-hospital settings, resuscitation protocols about wearing personal protective equipment and airway management were revised in order to minimize the risk of infection; otherwise, the other resuscitation management had not been changed. The primary outcome was hospitalization survival. The secondary outcomes were return of spontaneous circulation after hospital arrival and 1-month survival after OHCA occurrence. The adjusted odds ratios with 95% confidence intervals (CI) were calculated for outcomes to compare the two study periods, and the multivariable logistic model was used to adjust for potential confounders. The study analyzed 443 patients, with a median age of 76 years (65–85), and included 261 men (58.9%). The percentage of hospitalization survivors during the entire research period was 16.9% (75/443 patients), with 18.7% (50/267) during the conventional CPR period and 14.2% (25/176) during the COVID-19 safety protocol period. The adjusted odds ratio for hospitalization survival during the COVID-19 safety protocol period was 0.61 (95% CI 0.32–1.18), as compared with conventional CPR. There were no cases of COVID-19 infection among the staff involved in the resuscitation in our hospital. There was no apparent difference in hospitalization survival between the OHCA patients resuscitated under the conventional CPR protocol compared with the current revised protocol for controlling COVID-19 transmission.
Identification of cis-acting determinants mediating the unconventional secretion of tau
Authors: Katsinelos Taxiarchis , McEwan William A. , Jahn Thomas R. , Nickel Walter
Published: June 2021

The deposition of tau aggregates throughout the brain is a pathological characteristic within a group of neurodegenerative diseases collectively termed tauopathies, which includes Alzheimer’s disease. While recent findings suggest the involvement of unconventional secretory pathways driving tau into the extracellular space and mediating the propagation of the disease-associated pathology, many of the mechanistic details governing this process remain elusive. In the current study, we provide an in-depth characterization of the unconventional secretory pathway of tau and identify novel molecular determinants that are required for this process. Here, using Drosophila models of tauopathy, we correlate the hyperphosphorylation and aggregation state of tau with the disease-related neurotoxicity. These newly established systems recapitulate all the previously identified hallmarks of tau secretion, including the contribution of tau hyperphosphorylation as well as the requirement for PI(4,5)P2 triggering the direct translocation of tau. Using a series of cellular assays, we demonstrate that both the sulfated proteoglycans on the cell surface and the correct orientation of the protein at the inner plasma membrane leaflet are critical determinants of this process. Finally, we identify two cysteine residues within the microtubule binding repeat domain as novel cis-elements that are important for both unconventional secretion and trans-cellular propagation of tau.
Cancer incidence in Thyborøn-Harboøre, Denmark: a cohort study from an industrially contaminated site
Authors: Lynge Elsebeth , Holmsgaard Hans Asger , Holmager Therese L. F. , Lophaven Søren
Published: June 2021

In a fishing community Thyborøn-Harboøre on the Danish West coast, a chemical factory polluted air, sea, and ground with > 100 xenobiotic compounds. We investigated cancer incidence in the community. A historical cohort was identified from the Central Population Register and followed for cancer incidence in the Danish Cancer Register including inhabitants from 1968–1970 at height of pollution, and newcomers in 1990–2006 after pollution control. Two fishing communities without pollution, Holmsland and Hanstholm, were referent cohorts. We calculated rate ratios (RR) and 95% confidence intervals (CI). In 1968–1970, 4914 persons lived in Thyborøn-Harboøre, and 9537 persons in Holmsland-Hanstholm. Thyborøn-Harboøre had a statistically significant excess cancer incidence compared with Holmsland-Hanstholm; RR 1.20 (95% CI 1.11–1.29) deriving from kidney and bladder cancer; stomach and lung cancer in men, and colorectal cancer in women. In 1990–2006, 2933 persons came to live in Thyborøn-Harboøre. Their cancer incidence was the same as for newcomers to Holmsland-Hanstholm; RR 1.07 (95% CI 0.88–1.30). Persons in Thyborøn-Harboøre at height of chemical pollution had a cancer risk 20% above persons living in non-polluted fishing communities with a pattern unlikely to be attributable to life style. The study suggested that chemical pollution may have affected cancer risk.
Anchoring the snare tip is a feasible endoscopic mucosal resection method for small rectal neuroendocrine tumors
Authors: Kim Jeongseok , Kim Jisup , Oh Eun Hye , Ham Nam Seok , Hwang Sung Wook , Park Sang Hyoung , Ye Byong Duk , Byeon Jeong-Sik , Myung Seung-Jae , Yang Suk-Kyun , Hong Seung-Mo , Yang Dong-Hoon
Published: June 2021

Small rectal neuroendocrine tumors (NETs) can be treated using cap-assisted endoscopic mucosal resection (EMR-C), which requires additional effort to apply a dedicated cap and snare. We aimed to evaluate the feasibility of a simpler modified endoscopic mucosal resection (EMR) technique, so-called anchored snare-tip EMR (ASEMR), for the treatment of small rectal NETs, comparing it with EMR-C. We retrospectively evaluated 45 ASEMR and 41 EMR-C procedures attempted on small suspected or established rectal NETs between July 2015 and May 2020. The mean (SD) lesion size was 5.4 (2.2) mm and 5.2 (1.7) mm in the ASEMR and EMR-C groups, respectively (p = 0.558). The en bloc resection rates of suspected or established rectal NETs were 95.6% (43/45) and 100%, respectively (p = 0.271). The rates of histologic complete resection of rectal NETs were 94.1% (32/34) and 88.2% (30/34), respectively (p = 0.673). The mean procedure time was significantly shorter in the ASEMR group than in the EMR-C group (3.12 [1.97] vs. 4.13 [1.59] min, p = 0.024). Delayed bleeding occurred in 6.7% (3/45) and 2.4% (1/41) of patients, respectively (p = 0.618). In conclusion, ASEMR was less time-consuming than EMR-C, and showed similar efficacy and safety profiles. ASEMR is a feasible treatment option for small rectal NETs.
Disentangling transcriptional responses in plant defense against arthropod herbivores
Authors: Garcia Alejandro , Santamaria M. Estrella , Diaz Isabel , Martinez Manuel
Published: June 2021

The success in the response of a plant to a pest depends on the regulatory networks that connect plant perception and plant response. Meta-analyses of transcriptomic responses are valuable tools to discover novel mechanisms in the plant/herbivore interplay. Considering the quantity and quality of available transcriptomic analyses, Arabidopsis thaliana was selected to test the ability of comprehensive meta-analyses to disentangle plant responses. The analysis of the transcriptomic data showed a general induction of biological processes commonly associated with the response to herbivory, like jasmonate signaling or glucosinolate biosynthesis. However, an uneven induction of many genes belonging to these biological categories was found, which was likely associated with the particularities of each specific Arabidopsis-herbivore interaction. A thorough analysis of the responses to the lepidopteran Pieris rapae and the spider mite Tetranychus urticae highlighted specificities in the perception and signaling pathways associated with the expression of receptors and transcription factors. This information was translated to a variable alteration of secondary metabolic pathways. In conclusion, transcriptomic meta-analysis has been revealed as a potent way to sort out relevant physiological processes in the plant response to herbivores. Translation of these transcriptomic-based analyses to crop species will permit a more appropriate design of biotechnological programs.
Fear of large carnivores is tied to ungulate habitat use: evidence from a bifactorial experiment
Authors: Epperly Haley K. , Clinchy Michael , Zanette Liana Y. , McCleery Robert A.
Published: June 2021

The fear large carnivores inspire in large ungulates has been argued to have cascading effects down food webs. However, a direct link between ungulate habitat use and their fear of large carnivores has not been experimentally tested. To fill this critical gap, we conducted a bi-factorial experiment in an African savanna. We removed shrub cover and broadcast large carnivore vocalizations (leopard, hyena, dog) or non-threatening control vocalizations in both experimentally cleared and shrubby control sites. We recorded the proactive (frequency of visitation) and reactive (fleeing or vigilance) responses of multiple prey (impala, warthog, nyala and bushbuck). Critically, we found a significant proactive–reactive interaction. Ungulates were 47% more likely to run after hearing a predator vocalization in shrubby control sites than experimental clearings, demonstrating that ungulates perceived less fear from large carnivores in open habitat (clearings). Consistent with this finding, ungulates visited clearings 2.4 times more often than shrubby control sites and visited shrubby control sites less often at night, when large carnivores are most active. Combined with results from previous experiments demonstrating that the disproportionate use of available habitats by large ungulates can alter ecosystem properties, our experiment provides critical evidence that the fear large carnivores inspire in large ungulates can cause trophic cascades.
Tsunami detection by GPS-derived ionospheric total electron content
Authors: Shrivastava Mahesh N. , Maurya Ajeet K. , Gonzalez Gabriel , Sunil Poikayil S. , Gonzalez Juan , Salazar Pablo , Aranguiz Rafael
Published: June 2021

To unravel the relationship between earthquake and tsunami using ionospheric total electron content (TEC) changes, we analyzed two Chilean tsunamigenic subduction earthquakes: the 2014 Pisagua Mw 8.1 and the 2015 Illapel Mw 8.3. During the Pisagua earthquake, the TEC changes were detected at the GPS sites located to the north and south of the earthquake epicenter, whereas during the Illapel earthquake, we registered the changes only in the northward direction. Tide-gauge sites mimicked the propagation direction of tsunami waves similar to the TEC change pattern during both earthquakes. The TEC changes were represented by three signals. The initial weaker signal correlated well with Acoustic Rayleigh wave (AWRayleigh), while the following stronger perturbation was interpreted to be caused by Acoustic Gravity wave (AGWepi) and Internal Gravity wave (IGWtsuna) induced by earthquakes and subsequent tsunamis respectively. Inevitably, TEC changes can be utilized to evaluate earthquake occurrence and tsunami propagation within a framework of multi-parameter early warning systems.
Reduced graphene oxide on silicon-based structure as novel broadband photodetector
Authors: Bonavolontà Carmela , Vettoliere Antonio , Falco Giuseppe , Aramo Carla , Rendina Ivo , Ruggiero Berardo , Silvestrini Paolo , Valentino Massimo
Published: June 2021

Heterojunction photodetector based on reduced graphene oxide (rGO) has been realized using a spin coating technique. The electrical and optical characterization of bare GO and thermally reduced GO thin films deposited on glass substrate has been carried out. Ultraviolet–visible–infrared transmittance measurements of the GO and rGO thin films revealed broad absorption range, while the absorbance analysis evaluates rGO band gap of about 2.8 eV. The effect of GO reduction process on the photoresponse capability is reported. The current–voltage characteristics and the responsivity of rGO/n-Si based device have been investigated using laser diode wavelengths from UV up to IR spectral range. An energy band diagram of the heterojunction has been proposed to explain the current versus voltage characteristics. The device demonstrates a photoresponse at a broad spectral range with a maximum responsivity and detectivity of 0.20 A/W and 7 × 1010 cmHz/W, respectively. Notably, the obtained results indicate that the rGO based device can be useful for broadband radiation detection compatible with silicon device technology.
Formation, dynamics, and long-term stability of Mn- and Fe-promoted Rh/SiO2 catalysts in CO hydrogenation
Authors: Preikschas Phil , Bauer Julia , Knemeyer Kristian , Naumann d'Alnoncourt Raoul , Kraehnert Ralph , Rosowski Frank
Published: June 2021

Fe servers as an electronic modifier on Rh/SiO2 through in situ RhFe nanoalloy formation, whereas Mn is more likely a structural modifier and does not substantially change Rh's intrinsic product spectrum.
Chemoselective formation of cyclo-aliphatic and cyclo-olefinic 1,3-diols via pressure hydrogenation of potentially biobased platform molecules using Knölker-type catalysts
Authors: van Slagmaat Christian A. M. R. , Faber Teresa , Chou Khi Chhay , Schwalb Freire Alfonso J. , Hadavi Darya , Han Peiliang , Quaedflieg Peter J. L. M. , Verzijl Gerard K. M. , Alsters Paul L. , De Wildeman Stefaan M. A.
Published: June 2021

Hemicellulose-derived five-membered cyclic ketones are strategic precursors for sustainable 1,3-diol building blocks, and bifunctional iron catalysts provide unprecedented chemoselectivity in hydrogenation toward aliphatic and olefinic structures.
Preparation of GO/SiO2/PEA as a new solid base catalyst for the green synthesis of some spirooxindole derivatives
Authors: Toorbaf Mahla , Moradi Leila
Published: June 2021

Efficient and green one pot multi component synthesis of some spirooxindole derivatives in the presence of graphene oxide functionalized with 2-(1-piperazinyl) ethylamine (GO/SiO2/PEA) as a solid base catalyst was studied.
Chemical structure stabilities of a SixFy(x≤ 6,y≤ 12) series
Authors: Tang An-jiang , Huan Qi-shan , Tang Shi-yun , Wei De-ju , Guo Jun-jiang , Zhao Yu-han
Published: June 2021

The chemical structure stabilities of a set of SixFy(x≤ 6,y≤ 12) compounds were explored using theoretical and experimental methods.
Enzyme cascade-amplified immunoassay based on the nanobody–alkaline phosphatase fusion and MnO2 nanosheets for the detection of ochratoxin A in coffee
Authors: Zhang Zeling , Su Benchao , Xu Huan , He Zhenyun , Zhou Yuling , Chen Qi , Sun Zhichang , Cao Hongmei , Liu Xing
Published: June 2021

Enzyme cascade-amplified immunoassay using nanobody–alkaline phosphatase fusion and MnO2 nanosheets for sensitive and selective detection of ochratoxin A in coffee.
Transitioning Speech-Language Assessment to a Virtual Environment: Lessons Learned From the ELLA Study
Authors: Werfel Krystal L. , Grey Brittany , Johnson Michelle , Brooks Marren , Cooper Ellie , Reynolds Gabriella , Deutchki Elizabeth , Vachio Morgan , Lund Emily A.
Published: June 2021

Purpose

The COVID-19 pandemic has necessitated a quick shift to virtual speech-language services; however, only a small percentage of speech-language pathologists (SLPs) had previously engaged in telepractice. The purpose of this clinical tutorial is (a) to describe how the Early Language and Literacy Acquisition in Children with Hearing Loss study, a longitudinal study involving speech-language assessment with children with and without hearing loss, transitioned from in-person to virtual assessment and (b) to provide tips for optimizing virtual assessment procedures.

Method

We provide an overview of our decision making during the transition to virtual assessment. Additionally, we report on a pilot study that calculated test–retest reliability from in-person to virtual assessment for a subset of our preschool-age participants.

Results

Our pilot study revealed that most speech-language measures had high or adequate test–retest reliability when administered in a virtual environment. When low reliability occurred, generally the measures were timed.

Conclusions

Speech-language assessment can be conducted successfully in a virtual environment for preschool children with hearing loss. We provide suggestions for clinicians to consider when preparing for virtual assessment sessions.

Supplemental Material

https://doi.org/10.23641/asha.14787834
A novel adaptive cascade controller design on a buck–boost DC–DC converter with a fractional‐order PID voltage controller and a self‐tuning regulator adaptive current controller
Authors: Mollaee Hasan , Ghamari Seyyed Morteza , Saadat Seyyed Amirhossein , Wheeler Patrick
Published: June 2021

The design of a cascade controller is demonstrated for a buck–boost converter that is combined with two control loops consisting of inner and outer controllers. The outer loop is implemented by a fractional‐order proportional‐integrated‐derivative (FO‐PID) controller that works as a voltage controller and generates a reference current for the inner control loop. To provide faster dynamic performance for inner loop, a self‐tuning regulator adaptive controller, which tries to regulates the current with the help of a novel improved exponential regressive least square identification in an online technique, is designed. Moreover, in the outer loop, to tune the gains of the FO‐PID controller, a novel algorithm of antlion optimizer algorithm is used that offers many benefits in comparison with other algorithms. The system provided by the boost mode is a non‐minimum phase system, which creates challenges for designing a stable controller. In addition, a single loop controller is proposed based on a PID controller tuned by a particle swarm optimization algorithm to be compared with the cascade controller. Cascade loop can present significant benefits to the controller such as better disturbance rejection. Finally, the strength of the presented cascade control scheme is verified in different performing situations by real‐time experiments.
Radio absorption in high-mass gamma-ray binaries
Authors: Chen A. M. , Guo Y. D. , Yu Y. W. , Takata J.
Published: June 2021

High-mass γ-ray binaries consist of a presumptive pulsar in orbit with a massive star. The intense outflows from the star can absorb radio emission from the pulsar, making the detection of pulsation difficult. In this work, we present the basic geometry and formulae that describe the absorption process of a pulsar in binary with an O/B star and apply our model to two typical and well-studied binaries: PSR B1259−63/LS 2883 and LS 5039. We investigate the influences of the equatorial disc of LS 2883 with different orientations on the dispersion measure and free-free absorption of the radio pulsation from PSR B1259−63. The observed data are consistent with the disc inserted on the orbital plane with a relatively large inclination angle. For LS 5039, due to its tight orbit, it was believed that the strong wind absorption makes detecting radio emissions from the putative pulsar unlikely. However, considering the wind interaction and orbital motion, a bow shock cavity and a Coriolis shock would be formed, thereby allowing the pulsations to partially avoid stellar outflow absorption. We investigate the dependence of the radio optical depth on the observing frequencies, the orbital inclination angle, and the wind parameters. We suppose that the presumptive pulsar in LS 5039 is similar to PSR B1259−63 with pulsed emission extending to several tens of gigahertz. In that case, there could be a transparent window for radio pulsations when the pulsar is moving around the inferior conjunction. The following deep monitoring of LS 5039 and other systems by radio telescopes at high radio frequencies might reveal the nature of compact objects in the future. Alternatively, even a null detection could still provide further constraints on the properties of the putative pulsar and stellar outflows.
YARARA: Significant improvement in RV precision through post-processing of spectral time series
Authors: Cretignier M. , Dumusque X. , Hara N. C. , Pepe F.
Published: June 2021

Aims. Even the most precise radial-velocity instruments gather high-resolution spectra that present systematic errors that a data reduction pipeline cannot identify and correct for efficiently by simply analysing a set of calibrations and a single science frame. In this paper we aim at improving the radial-velocity precision of HARPS measurements by ‘cleaning’ individual extracted spectra using the wealth of information contained in spectral time series.

Methods. We developed YARARA, a post-processing pipeline designed to clean high-resolution spectra of instrumental systematics and atmospheric contamination. Spectra are corrected for: tellurics, interference patterns, detector stitching, ghosts, and fibre B contaminations, as well as more advanced spectral line-by-line corrections. YARARA uses principal component analysis on spectral time series with prior information to disentangle contaminations from real Doppler shifts. We applied YARARA to three systems, HD 10700, HD 215152, and HD 10180, and compared our results to the standard HARPS data reduction software and the SERVAL post-processing pipeline.

Results. We ran YARARA on the radial-velocity dataset of three stars intensively observed with HARPS: HD 10700, HD 215152, and HD 10180. For HD 10700, we show that YARARA enables us to obtain radial-velocity measurements that present an rms smaller than 1 m s−1 over the 13 years of the HARPS observations, which is 20% and 10% better than the HARPS data reduction software and the SERVAL post-processing pipeline, respectively. We also injected simulated planets into the data of HD 10700 and demonstrated that YARARA does not alter pure Doppler-shifted signals. For HD 215152, we demonstrated that the 1-year signal visible in the periodogram becomes marginal after processing with YARARA and that the signals of the known planets become more significant. Finally, for HD 10180, the six known exoplanets are well recovered, although different orbital parameters and planetary masses are provided by the new reduced spectra.

Conclusions. The post-processing correction of spectra using spectral time series allows the radial-velocity precision of HARPS data to be significantly improved and demonstrates that for the extremely quiet star HD 10700 a radial-velocity rms better than 1 m s−1 can be reached over the 13 years of HARPS observations. Since the processing proposed in this paper does not absorb planetary signals, its application to intensively followed systems is promising and will certainly result in advances in the detections of the lightest exoplanets.
CAPOS: The bulge Cluster APOgee Survey
Authors: Romero-Colmenares María , Fernández-Trincado José G. , Geisler Doug , Souza Stefano O. , Villanova Sandro , Longa-Peña Penélope , Minniti Dante , Beers Timothy C. , Bidin Cristian Moni , Perez-Villegas Angeles , Moreno Edmundo , Garro Elisa R. , Baeza Ian , Henao Lady , Barbuy Beatriz , Alonso-García Javier , Cohen Roger E. , Lane Richard R. , Muñoz Cesar
Published: June 2021

We present results from a study of 15 red giant members of the intermediate-metallicity globular cluster (GC) FSR 1758 using high-resolution, near-infrared spectra collected with the Apache Point Observatory Galactic Evolution Experiment II survey (APOGEE-2) that were obtained as part of CAPOS (the bulge Cluster APOgee Survey). Since its very recent discovery as a massive GC in the bulge region, evoking the name Sequoia, this has been an intriguing object with a highly debated origin, and initially led to the suggestion of a purported progenitor dwarf galaxy of the same name. In this work, we use new spectroscopic and astrometric data to provide additional clues as to the nature of FSR 1758. Our study confirms the GC nature of FSR 1758, and as such we report the existence of the characteristic N-C anticorrelation and Al-N correlation for the first time. We thereby reveal the existence of the multiple-population phenomenon, similar to that observed in virtually all GCs. Furthermore, the presence of a population with strongly enriched aluminum makes it unlikely that FSR 1758 is the remnant nucleus of a dwarf galaxy because Al-enhanced stars are uncommon in dwarf galaxies. We find that FSR 1758 is slightly more metal rich than previously reported in the literature; this source has a mean metallicity [Fe/H] between −1.43 to −1.36, depending on the adopted atmospheric parameters and a scatter within observational error, again pointing to its GC nature. Overall, the α-enrichment (≳ + 0.3 dex), Fe-peak (Fe, Ni), light (C, N), and odd-Z (Al) elements follow the trend of intermediate-metallicity GCs. Isochrone fitting in the Gaia bands yields an estimated age of ∼11.6 Gyr. We used the exquisite kinematic data, including our CAPOS radial velocities and Gaia eDR3 proper motions, to constrain the N-body density profile of FSR 1758, and found that it is as massive (∼2.9 ± 0.6 × 105 M⊙) as NGC 6752. We confirm a retrograde and eccentric orbit for FSR 1758. A new examination of its dynamical properties with the GravPot16 model favors an association with the Gaia-Enceladus-Sausage accretion event. Thus, paradoxically, the cluster that gave rise to the name of the Sequoia dwarf galaxy does not appear to belong to this specific merging event.
Research on the Impact of Digital Financial Inclusion on R&D Innovation
Authors: Sun Mingyue , Xu Jing , Tang Haoyue , Zu Zishuai
Published: June 2021

Based on the panel data of China’s provinces from 2011 to 2019, this paper studies the impact of financial science and technology on scientific and technological innovation through fixed effect model. The empirical results show that scientific and technological innovation has a positive correlation with the Inclusive Financing index, indicating that the development of scientific and technological innovation will promote financial science and technology. The R&D expenditure of industrial enterprises has a negative correlation with the Inclusive Financing Index, which shows that during the period of 2011-2019 in China, the research expenditure of enterprises does not affect financial technology, because the technology involved in financial technology has the characteristics of fast updating and iteration, cross-border and mixed operation, which is the superposition and integration of cutting-edge disruptive technologies such as big data, artificial intelligence and blockchain technology with traditional financial services and scenarios. Finally, some suggestions are put forward for the development of financial science and technology.
How to Increase the Income of Peasants: Anti-poverty Effect of Agricultural Products Brands
Authors: Chen Jinsong , Wang Hexiang
Published: June 2021

The advancement of agricultural product brands has a significant role in promoting local economic and social development. Through analysis, it can be seen that there keeps still a lot of room for improvement of agricultural products brands in terms of economic driving. To realize the coupling of agricultural product brands and rural revitalization, it is necessary to make up for the shortcomings of agricultural product brands and poverty alleviation of poverty, cultivate characteristic industrial parks, optimize agricultural product value chains, improve brand supervision, and strengthen e-commerce talent training, so as to achieve agricultural product brand building organic connection with agricultural and rural modernization as well as increase the income of peasants.
Stock Price Prediction Based on XGBoost and LightGBM
Authors: Yang Yue , Wu Yang , Wang Peikun , Jiali Xu
Published: June 2021

Stock trading, as a kind of high frequency trading, generally seeks profits in extremely short market changes. And effective stock price forecasting can help investors obtain higher returns. Based on the data set provided by Jane Street, this paper makes use of XGBoost model and LightGBM model to realize the prediction of stock price. Since the given training set has a large amount of data and includes abnormal data such as missing value, we first carry out feature engineering processing on the original data and take the mean value of the missing value, so as to obtain the preprocessed data that can be used in modeling.

The experimental results show that the combined model of XGBoost and LightGBM has better prediction performance than the single model and neural network.
Research on the Application of Blockchain Technology in the Field of Corporate Governance
Authors: Meng Liyuan , Xing Shaodong
Published: June 2021

The Annual General Meeting of Shareholders is considered to be a boring and mandatory annual ceremony. At present, its information, forum, decision-making functions, and voting procedures are all flawed. As a new technology, the introduction of blockchain can greatly reduce the cost of shareholder voting and company organization costs, improve the company’s decision-making efficiency and the transparency of voting and elections, and effectively solve the problems existing in the current annual general meeting of shareholders. The research in this paper provides an intelligent solution for the traditional inefficiency of corporate governance.
The efficacy of an integrated intervention to encourage low-carbon travel behaviour
Authors: Jin Yingying
Published: June 2021

The importance of pro-environmental behaviour has increasingly attracted academics’ attention. However, limited research has taken place to investigate the efficacy of different interventions on encouraging pro-environmental behaviour. The effects of an integrated intervention on changing people’s actual travel behaviour also remain largely unfilled. Therefore, this empirical research aims to fill this research by examining the efficacy of an integrated intervention and its durability to encourage pro-environmental behaviour. SPSS programme was used to analyse the collected data: a primary online survey dataset and a secondary longitudinal dataset. The efficacy of the intervention was assessed using Kruskal-Wallis test and Wilcoxon Signed Ranks test was used to investigate the durability of its effectiveness.
The exploration and practice of creating the green development of coal enterprises
Authors: Wu Zenghai , Wang Jie , Yin Beijie , Hou Jinrui , Feng Xingwen , Pang Wenhua
Published: June 2021

Severe ecological and environmental problems have deeply threatened the sustainable development of human society. In response to the severe challenges faced by mankind, the green development of coal enterprises has become an irreversible wave. This article analyzes the relevant conditions of China’s coal resources based on the 2020 World Energy Statistical Yearbook published by BP, and estimates the peak coal resources based on the Hubbert Peak Model, expounding the need for coal companies to develop green development and coal companies Develop a practical and feasible path for green development, and contribute to the green transformation and development of Chinese coal enterprises. The optimization path is mainly reflected in the following aspects: the government needs to increase policy support, enterprises actively improve the level of green development, and strengthen the team building of high-quality employees.
Research on the Design of Agricultural Machinery Products Based on Ecological Thinking——Taking Sunflower Seedling Machine as an Example
Authors: Zhang Zhongyue , Liu Wenming
Published: June 2021

This article describes the basic content and expression of ecological thinking, and explains how to apply the specific aspects of ecological thinking involved in high-efficiency, energy-saving, and environmental protection in the field of agricultural machinery design. This paper take the sunflower deseeding machine as an example, carry out innovative design research based on ecological thinking. Through the research and arrangement of relevant design elements and design principles and design practice, it provides new design ideas for the innovative design of sunflower threshing machines, and reflects the guiding role and application value of ecological thinking in agricultural machinery products.
The impact of technological innovation on carbon emissions
Authors: Niu Jing
Published: June 2021

Environmental problems caused by carbon emissions have received widespread attention, and technological innovation has an important impact on carbon emissions. This paper uses data from 30 provinces (excluding Tibet) in China from 2009 to 2018 as a sample, and empirically analyzes the relationship between technological innovation and carbon emissions by constructing panel data and fixed effects models. The results show that technological innovation can curb carbon emissions. Therefore, China should increase research and application of low-carbon technologies to promote sustainable economic development.
Environmental Regulations and Corporate Green Investment: Evidence From Heavy Polluting Companies in China
Authors: Chen Crystal Xiaobei , Lin Regina Fangying , Zheng Xinqian , Li Yiyuan
Published: June 2021

With the rapid development of the global economy, environmental pollution has become one of the main problems facing. As the main carriers of social production, companies create value for the whole society and also occupy the main resources. Heavy polluting companies have serious pollution discharge. They should bear more environmental protection responsibilities. Green investment of heavy polluting companies is the focus of social concern. Therefore, this paper selects 243 listed companies in China’s heavy polluting industry as samples to explore the impact of environmental regulations on corporate green investment. This study calculates the green investment amount of companies through the “content analysis method”, and divides the environmental regulation into formal environmental regulation and informal environmental regulation. A fixed panel model is constructed for research. The empirical results show that market-incentive environmental regulation and informal environmental regulation have a significantly positive impact on corporate green investment. There is no significant relationship between command-andcontrol environmental regulation and corporate green investment. According to this conclusion, this paper proposes some suggestions about green finance.
The Threshold Effect of FDI on Regional Innovation Capability— From the Perspective of Intellectual Property Protection
Authors: Li Wencong
Published: June 2021

As one of the important channels of technology spillover, foreign direct investment (FDI) has a significant impact on regional innovation capability, which is restricted by the intensity of intellectual property protection. In order to explore the relationship between these three factors, this paper constructs a nonlinear threshold regression model based on China’s provincial panel data from 2009 to 2018, and empirically analyzes the threshold effect of FDI on regional innovation capability with the intensity of intellectual property protection as the threshold variable. The results show that the impact of FDI on regional innovation capability has a significant single threshold effect of intellectual property protection intensity. Only when the intensity of intellectual property protection remains near the threshold value, can FDI promote regional innovation capability to the greatest extent.
Research on art design and application of indoor environment based on Artificial Intelligence
Authors: Hou Yao , Xu Xue-Feng
Published: June 2021

The application of artificial intelligence in environmental design has entered a stage of rapid development, artificial intelligence in environmental design tools, methods, expression, as well as the expansion of design content, the richness of design language and other aspects have produced a wide range of changes. From the perspective of artificial intelligence in environmental design, this paper discusses the future trend and possible revolutionary changes of artificial intelligence in environmental design. This paper combs the application of artificial intelligence in environmental design, analyzes the design works with wide influence, and discusses the value and significance of artificial intelligence in applied environmental design, as well as its possible future development trend. The application of artificial intelligence in environmental design is a great change from design means to design content. From the interactive ability, virtual ability, to the integration of big data, all are new opportunities and challenges brought by the ability of artificial intelligence to environmental design. In response to such changes, environmental art design practitioners should establish a more systematic, three-dimensional and data-based design activity system and a broader design theory system.
News Industry under the Background of Big Data
Authors: He Yixin
Published: June 2021

With the continuous update of technical means, it is possible to store and process a large amount of data in news dissemination. This research mainly discusses the development of the news industry in the context of big data. Entering the era of big data, with the update of data collection and analysis and processing technology, audience feedback in news dissemination can directly through the in-depth mining of audience data and full sample analysis, fully and timely present the audience’s needs, preferences and behavior patterns. The value of audience feedback. Big data analysis of users can not only be applied to the overall analysis of users, but also can be refined to individual analysis. Through big data-based charts, the originally singular information presents different expressions, which greatly enhances the readability of news information. The main factors that affect users’ use of mobile news clients are the speed of news updates and the professionalism and comprehensiveness of news content, which account for 30% and 20% respectively. This research helps to propose a feasible development path for the future development of traditional news production.
The Integration and Innovation of Shandong Folktales in Animation Teaching in Higher Education
Authors: Min Zhang
Published: June 2021

The folktales derived from folk arts are of abundant regional culture, local customs, national emotions, national spirit and the like, representing themselves as one of the important forms expressing traditional cultural resources, as well as an valuable portion in the protection and inheritance of traditional culture in China. This paper holds that animation teaching and practices in colleges and universities should make full use of local folk culture resources, take the folktales in regions where the colleges and universities are located as the basis, and furnish design sources and materials for animation teaching and practices through the integration and innovation of folk culture, so as to reflect regional characteristics, connotations and values while satisfying the requirements of modern aesthetics, enrich the content of animation creation, and play a role in the inheritance and promotion of regional folk culture. Promote the collaborative innovation research of Application-oriented University and local economic and social development.
Investigation and Analysis of Road Traffic Accidents in Hefei City
Authors: Sun Yan , Tang Zhihua
Published: June 2021

Hefei is the largest city in Anhui Province, and its traffic volume is increasing day by day, and traffic accidents will follow. Therefore, aiming at the traffic road safety problems in Hefei, this paper investigates and analyzes the causes of road traffic accidents in Hefei by visiting questionnaires and collecting data, and concludes that drivers’ driving behavior is an important factor leading to traffic accidents, such as driving and calling, changing lanes and overtaking in a hurry, etc. With the increase of traffic demand, it is necessary for relevant departments to make corresponding measures to reduce the traffic accident rate through investigation and analysis, so as to improve the safety ability of road traffic and further ensure the safety of citizens’ lives and property.
Government Subsidies and Firm Technological Innovation Performance: An Empirical Study Based on Panel Data of High-tech Firms
Authors: Xie Kun , Zhang Zhengluan
Published: June 2021

Can government subsidies improve enterprises’ technological innovation performance? Based on the A-share high-tech listed enterprises in Shanghai and Shenzhen Stock Exchange from 2015 to 2019, this paper empirically tests the micro policy effect of government subsidies on innovation performance of enterprises under the background of economic transformation, and the moderating effect of regional corruption, market competition and enterprise ownership concentration on this effect. The results show that the high quality signal transmitted by government subsidies is helpful for innovative enterprises to broaden the source of innovation resources and encourage enterprises to actively carry out innovative activities. Moderate level of regional corruption will promote the government subsidy effect, too high or too low level of corruption is not conducive to enterprise innovation; The higher the degree of market competition, the weaker the promoting effect of government subsidies on enterprise innovation; Corporate ownership concentration has a U-shaped moderating effect on government subsidies and innovation performance. Therefore, to improve the independent innovation ability of enterprises, on the one hand, we should continue to strengthen the government innovation subsidy and improve the subsidy system; on the other hand, we should strictly crackdown on corruption activities and supervise the establishment and improvement of the internal control system of enterprises, so as to give full play to the effect of government subsidies.
Research on the relationship between challenging-hindrance stress and employee health based on cross-sectional data by structural equation modeling
Authors: Luo Weishan , Zeng Huachun , Jiang Ying , Dai Guobin
Published: June 2021

Innovations in economic development have highlighted the role of talent, and focusing on employees’ work stress and its impact on employees’ health contributes to the continued development of employees and companies. This article aims to propose the work stress-employee health model and hypotheses under the moderation of perceived organizational support (POS) and self-efficacy. We select appropriate scales; collected 428 responses from questionnaire survey and explored the different effects of challenging/hindrance stress (CS/HS) on the employee’s physical/mental health, and the mechanism of POS and self-efficacy. The results indicated that: (1) CS has a significant positive impact on employees’ mental health; (2) HS has a significant negative impact on employees’ physical and mental health; (3) POS and selfefficacy have moderating effect on the relationship between CS and employees’ mental health, HS and employees’ physical and mental health.