bluuebunny/crossref_metadata_2025 huggingface dataset:
Hedged testimony
Authors: van Elswyk Peter
Published: April 2022

Speakers offer testimony. They also hedge. This essay offers an account of how hedging makes a difference to testimony. Two components of testimony are considered: how testimony warrants a hearer's attitude, and how testimony changes a speaker's responsibilities. Starting with a norm‐based approach to testimony where hearer's beliefs are prima facie warranted because of social norms and speakers acquire responsibility from these same norms, I argue that hedging alters both components simultaneously. It changes which attitudes a hearer is prima facie warranted in forming in response to testimony, and reduces how much responsibility a speaker undertakes in testifying. A consequence of this account is that speakers who hedge merely for strategic purposes deprive their hearers of warrant for stronger doxastic attitudes.
Protein‐losing enteropathy recurrence after pediatric heart transplantation: Multicenter case series
Authors: Sagray Ezequiel , Johnson Jonathan N. , Schumacher Kurt R. , West Shawn , Lowery Ray E. , Simpson Kathleen
Published: April 2022

Background

Protein‐losing enteropathy (PLE) is a devastating complication of the Fontan circulation. Although orthotopic heart transplantation (HTx) typically results in resolution of PLE symptoms, isolated cases of PLE relapse have been described after HTx.

Methods

Patients with Fontan‐related PLE who had undergone HTx at participating centers and experienced relapse of PLE during follow‐up were retrospectively identified. Available data related to pre‐ and post‐HTx characteristics and PLE events were collected.

Results

Eight patients from four different centers were identified. Median time from Fontan procedure to the development of PLE was 8 years, and median age at HTx was 17 years (range 7.7–21). In all patients, PLE resolved at a median time of 1 month after HTx (0.3–5). PLE recurrences occurred at a median time of 7.5 months after HTx (2–132). Each occurrence was associated with one or more significant clinical events; most commonly cellular‐ or antibody‐mediated rejection; and less commonly graft dysfunction, infection, thrombosis, and posttransplant lymphoproliferative disease. PLE recurrences resolved after the successful treatment of the concomitant event, after a median time of 2 months in seven cases, while persisted and recurred in one patient in association with atypical mycobacterium infection and subsequent PTLD onset and relapses. Six patients were alive during follow‐up at a median time of 4 years (1.3–22.5) after HTx.

Conclusions

This is the largest series of PLE recurrence after HTx. All cases were associated with one or more concomitant and significant clinical events. PLE typically resolved after resolution of the inciting clinical event.
Norwegian public health nurses’ competence areas
Authors: Dahl Berit Misund , Glavin Kari , Teige Anne‐May , Karlsen Anne‐Gerd , Steffenak Anne Kjersti Myhrene
Published: April 2022

Objective

To explore the competence areas of public health nurses in Norway.

Design

A qualitative and comparative design was employed.

Sample

A purposive sample of 41 public health nurses participated.

Measurements

Data were gathered from focus groups and individual interviews. The interviews centered around an open question about public health nurses’ knowledge. They also discussed 10 proposed competence areas for public health nursing, developed from the literature. A qualitative content analysis was conducted on the interview transcripts, followed by a synthesis of the data from the interviews and earlier developed competencies. The 10 competence areas for Norwegian public health nursing were then refined. Finally, we compared the affirmed competence areas with earlier developed cornerstones and the new educational guidelines.

Results

The interviews revealed 10 competence areas. These 10 competence areas were synthesized with the 10 proposed competencies from literature. Ten affirmed competence areas, which mostly corresponded with the competences from literature, were developed. The affirmed competencies were supported by the previously developed cornerstones and new educational guidelines.

Conclusions

The affirmed competencies will help promote and explain the content and focus of PHNs’ work in Norway and may have implications for education and international research.
A population study of the NYS measles epidemic: Lessons learned
Authors: Marye Stacey , Spencer Gale
Published: April 2022

Objectives

In 2019 the United States experienced the largest outbreak of measles in 27 years, 19 years after the United States declared measles eliminated. The purpose of this paper was to present a population study of a measles outbreak within Orthodox Jewish communities in New York that led to the elimination of religious exemption for school mandated vaccines.

Methods

Peer reviewed articles, news media, health department, and government resources were used to investigate environmental factors that led to this outbreak. State, county, and city immunization records were accessed to explore measles compliance rates before and after policy change.

Results

Rockland County had low compliance rates compared to the rest of the state, and the elimination of religious exemptions raised compliance rate almost to state level. In all but one affected New York City zip codes, compliance following policy change rose to 97.95%–99.15%.

Conclusions

Overall, changes in measles compliance rates reflect policy goals, but localized differences imply a need for more customized interventions for each unique community. Public health planning to promote vaccination should be sensitive to the concerns and perceptions of each community in order for health interventions to have a positive effect.
RETRACTED:CRISPR/Cas genome editing perspectives for barley breeding
Authors: Kershanskaya Olga I. , Yessenbaeva Gulvira L. , Nelidova Darya S. , Karabekova Aizhan N. , Sadullaeva Zarina N.
Published: April 2022

The CRISPR/Cas9 technology shows potential to improve crop breeding efficiency and antiviral defense. The interest in DNA editing in crops has grown due to the possibility of increasing the resistance of different plants to many viruses. Our aim was to create an elite disease‐resistant local barley cultivar using CRISPR/Cas9 biotechnology. For this purpose, we used CRISPR/Cas 9‐eIF4E with the eukaryotic translation initiation factor 4E (eIF4E) barley gene to edit the genomes of five local Kazakhstan barley cultivars. After identifying the single guide RNA (sgRNA) target sequences, they were synthesized and cloned into the CRISPR‐plant vector before being introduced into barley cells via our own patented Agrobacterium germ‐line transformation technique. Barley plants eIF4E‐modified were successfully obtained and were resistant to virus infection. Based on our research, the CRISPR/Cas9 system for plant genome editing could be a prospect for applying this breakthrough biotechnology in barley breeding.
What's the grand story? A macro‐narrative analytical model and the case of Swiss child and adult protection policy
Authors: Stauffer Bettina
Published: April 2022

This paper expands on the Narrative Policy Framework (NPF) by adding a theoretical and empirical exploration into macrolevel narratives. Existing NPF research largely neglects macrolevel narratives, which prevents the NPF from developing its full power. The main contributions of this paper are threefold: (1) It provides a definition of macrolevel narratives by conceptualizing them as the “story form” of a policy paradigm. (2) It proposes a model and an empirical approach, which may lay the foundation for a standard macrolevel NPF approach. (3) It contributes to the NPF's aim of connecting the macro and meso level. The paper tests the model in a comparative multi‐method design applied to the Swiss child and adult protection policy. The findings show that macrolevel NPF analysis helps understand where mesolevel policy debates come from, namely from an underlying paradigm and its effects on institutions and culture that enable and constrain macrolevel narratives.
The detection dilemma of marginally non‐poor households in poverty alleviation evaluation: Evidence from a linear quantile mixed model
Authors: Hu Zhineng , Ma Jing , Feng Qiong , Scott C. Patrick , Mesak Hani I.
Published: April 2022

Poverty alleviation remains one of the most pressing problems, and China has made considerable advancements toward poverty alleviation in recent years. Considering village as a random effect, this paper proposes a linear quantile mixed model to analyze the effects of household type, village type, and their interactions on household income, suggesting a test of who benefits more or less from anti‐poverty policies. Results indicate that there has been a somewhat unbalanced development between poverty‐stricken households who are scheduled to be out of poverty earlier and poverty‐stricken households who are scheduled to be out of poverty later. The imbalance is slightly different across village types. Results also show that anti‐poverty policies have been equally implemented among village types, but there is some unbalanced development of poverty‐stricken and non‐poverty‐stricken households at lower income distribution quantiles depending on village type. Previously unidentified, marginally non‐poor households are found to benefit disproportionately less from policy measures irrespective of village type.
Nonparametric, Tuning-Free Estimation of S-Shaped Functions
Authors: Feng Oliver Y. , Chen Yining , Han Qiyang , Carroll Raymond J. , Samworth Richard J.
Published: April 2022

We consider the nonparametric estimation of an S-shaped regression function. The least squares estimator provides a very natural, tuning-free approach, but results in a non-convex optimization problem, since the inflection point is unknown. We show that the estimator may nevertheless be regarded as a projection onto a finite union of convex cones, which allows us to propose a mixed primal-dual bases algorithm for its efficient, sequential computation. After developing a projection framework that demonstrates the consistency and robustness to misspecification of the estimator, our main theoretical results provide sharp oracle inequalities that yield worst-case and adaptive risk bounds for the estimation of the regression function, as well as a rate of convergence for the estimation of the inflection point. These results reveal not only that the estimator achieves the minimax optimal rate of convergence for both the estimation of the regression function and its inflection point (up to a logarithmic factor in the latter case), but also that it is able to achieve an almost-parametric rate when the true regression function is piecewise affine with not too many affine pieces. Simulations and a real data application to air pollution modelling also confirm the desirable finite-sample properties of the estimator, and our algorithm is implemented in the R package Sshaped.
Forward Kinematics for Suspended Under-Actuated Cable-Driven Parallel Robots With Elastic Cables: A Neural Network Approach
Authors: Mishra Utkarsh A. , Caro Stéphane
Published: April 2022

Kinematic analysis of under-constrained cable-driven parallel robots (CDPR) has been a topic of interest because of the inherent coupling between the loop-closure and static equilibrium equations. The non-linearity of the problem is magnified with the addition of the coupling between the cable lengths and their tensions based on the elastic cable model. The paper proposes an unsupervised neural network algorithm to perform real-time forward geometrico-static analysis of such robots in a suspended configuration under the action of gravity. The formulation determines a non-linear function approximation to model the problem and proves to be efficient in solving consecutive and close waypoints in a path. The methodology is applied on a six-degree-of-freedom spatial under-constrained suspended CDPR. Specific comparison results in simulation and hardware to show the effectiveness of the proposed method in tracking a given path are illustrated. Finally, the degree of constraint satisfaction is presented against the results obtained from non-linear least-square optimization.
Lightweight deep convolutional neural network for background sound classification in speech signals
Authors: Dayal Aveen , Yeduri Sreenivasa Reddy , Koduru Balu Harshavardan , Jaiswal Rahul Kumar , Soumya J. , Srinivas M. B. , Pandey Om Jee , Cenkeramaddi Linga Reddy
Published: April 2022

Recognizing background information in human speech signals is a task that is extremely useful in a wide range of practical applications, and many articles on background sound classification have been published. It has not, however, been addressed with background embedded in real-world human speech signals. Thus, this work proposes a lightweight deep convolutional neural network (CNN) in conjunction with spectrograms for an efficient background sound classification with practical human speech signals. The proposed model classifies 11 different background sounds such as airplane, airport, babble, car, drone, exhibition, helicopter, restaurant, station, street, and train sounds embedded in human speech signals. The proposed deep CNN model consists of four convolution layers, four max-pooling layers, and one fully connected layer. The model is tested on human speech signals with varying signal-to-noise ratios (SNRs). Based on the results, the proposed deep CNN model utilizing spectrograms achieves an overall background sound classification accuracy of 95.2% using the human speech signals with a wide range of SNRs. It is also observed that the proposed model outperforms the benchmark models in terms of both accuracy and inference time when evaluated on edge computing devices.
Trunk Movement and Sequential Trunk Muscle Activation During Oscillation Exercises Using Flexible Poles
Authors: Wang Ting-Chung , Tsai Ping-Jui , Hsu Wei-Hsiu
Published: April 2022

Objectives: Oscillatory exercises using flexible poles, such as the Flexi-bar, were recommended as rehabilitation programs to increase trunk muscles strength; however, the strategy to enhance the training effects is under investigations. The aim of this study was to characterize the trunk movements and muscle activation patterns when performing an oscillation exercise with flexible poles in different weights. Methods: Twelve healthy male participants performed oscillation exercises with flexible poles of different weights. The center of mass, as well as surface electromyography for 10 trunk muscles were assessed while participants performed oscillation exercises. Results: The participants’ trunks showed rhythmic anterior–posterior movement during oscillation exercises using flexible poles. The center-of-mass movement distances were 20.32 (6.73) mm, 25.33 (5.31) mm, 32.40 (9.94) mm, and 37.28 (21.59) mm for the Flexi-bar, light pole, medium pole, and heavy pole, respectively. Erector spinae, internal obliques, multifidus, and external obliques revealed significant activation levels during oscillation exercises. The participants who could perform steady and smooth oscillation with heavy pole for 30 seconds revealed phasic sequential muscle activation. Conclusion: The present study suggested that oscillation exercises with flexible poles were associated with a concomitant trunk movement in anterior–posterior direction and an effective activation of trunk muscles.
The ripple effects of funding on researchers and output
Authors: Sattari Reza , Bae Jung , Berkes Enrico , Weinberg Bruce A.
Published: April 2022

Using unique, new, matched UMETRICS data on people employed on research projects and Author-ity data on biomedical publications, this paper shows that National Institutes of Health funding stimulates research by supporting the teams that conduct it. While faculty—both principal investigators (PIs) and other faculty—and their productivity are heavily affected by funding, so are trainees and staff. The largest effects of funding on research output are ripple effects on publications that do not include PIs. While funders focus on research output from projects, they would be well advised to consider how funding ripples through the wide range of people, including trainees and staff, employed on projects.
Genome-wide pleiotropy analysis of coronary artery disease and pneumonia identifies shared immune pathways
Authors: Yu Zhi , Zekavat Seyedeh M. , Haidermota Sara , Bernardo Rachel , MacDonald Bryan T. , Libby Peter , Finucane Hilary K. , Natarajan Pradeep
Published: April 2022

Coronary artery disease (CAD) remains the leading cause of death despite scientific advances. Elucidating shared CAD/pneumonia pathways may reveal novel insights regarding CAD pathways. We performed genome-wide pleiotropy analyses of CAD and pneumonia, examined the causal effects of the expression of genes near independently replicated SNPs and interacting genes with CAD and pneumonia, and tested interactions between disruptive coding mutations of each pleiotropic gene and smoking status on CAD and pneumonia risks. Identified pleiotropic SNPs were annotated to
ADAMTS7
and
IL6R
. Increased
ADAMTS7
expression across tissues consistently showed decreased risk for CAD and increased risk for pneumonia; increased
IL6R
expression showed increased risk for CAD and decreased risk for pneumonia. We similarly observed opposing CAD/pneumonia effects for
NLRP3
. Reduced
ADAMTS7
expression conferred a reduced CAD risk without increased pneumonia risk only among never-smokers. Genetic immune-inflammatory axes of CAD linked to respiratory infections implicate
ADAMTS7
and
IL6R
, and related genes.
High coherence and low cross-talk in a tileable 3D integrated superconducting circuit architecture
Authors: Spring Peter A. , Cao Shuxiang , Tsunoda Takahiro , Campanaro Giulio , Fasciati Simone , Wills James , Bakr Mustafa , Chidambaram Vivek , Shteynas Boris , Carpenter Lewis , Gow Paul , Gates James , Vlastakis Brian , Leek Peter J.
Published: April 2022

We report high qubit coherence as well as low cross-talk and single-qubit gate errors in a superconducting circuit architecture that promises to be tileable to two-dimensional (2D) lattices of qubits. The architecture integrates an inductively shunted cavity enclosure into a design featuring nongalvanic out-of-plane control wiring and qubits and resonators fabricated on opposing sides of a substrate. The proof-of-principle device features four uncoupled transmon qubits and exhibits average energy relaxation times
T
1
= 149(38) μs, pure echoed dephasing times
T

ϕ,
e

= 189(34) μs, and single-qubit gate fidelities
F
= 99.982(4)% as measured by simultaneous randomized benchmarking. The 3D integrated nature of the control wiring means that qubits will remain addressable as the architecture is tiled to form larger qubit lattices. Band structure simulations are used to predict that the tiled enclosure will still provide a clean electromagnetic environment to enclosed qubits at arbitrary scale.
Natural separation of two primordial planetary reservoirs in an expanding solar protoplanetary disk
Authors: Liu Beibei , Johansen Anders , Lambrechts Michiel , Bizzarro Martin , Haugbølle Troels
Published: April 2022

Meteorites display an isotopic composition dichotomy between noncarbonaceous (NC) and carbonaceous (CC) groups, indicating that planetesimal formation in the solar protoplanetary disk occurred in two distinct reservoirs. The prevailing view is that a rapidly formed Jupiter acted as a barrier between these reservoirs. We show a fundamental inconsistency in this model: If Jupiter is an efficient blocker of drifting pebbles, then the interior NC reservoir is depleted by radial drift within a few hundred thousand years. If Jupiter lets material pass it, then the two reservoirs will be mixed. Instead, we demonstrate that the arrival of the CC pebbles in the inner disk is delayed for several million years by the viscous expansion of the protoplanetary disk. Our results support the hypothesis that Jupiter formed in the outer disk (>10 astronomical units) and allowed a considerable amount of CC material to pass it and become accreted by the terrestrial planets.
Superconducting disordered neural networks for neuromorphic processing with fluxons
Authors: Goteti Uday S. , Cai Han , LeFebvre Jay C. , Cybart Shane A. , Dynes Robert C.
Published: April 2022

In superconductors, magnetic fields are quantized into discrete fluxons (flux quanta Φ
0
), made of microscopic circulating supercurrents. We introduce a multiterminal synapse network comprising a disordered array of superconducting loops with Josephson junctions. The loops can trap fluxons defining memory, while the junctions allow their movement between loops. Dynamics of fluxons through such a disordered system through a complex reconfigurable energy landscape represents brain-like spiking information flow. In this work, we experimentally demonstrate a three-loop network using YBa
2
Cu
3
O
7 − δ
-based superconducting loops and Josephson junctions, which exhibit stable memory configurations of trapped flux in loops that determine the rate of flow of fluxons through synaptic connections. The memory states are, in turn, affected by the applied input signals but can also be externally configured electrically through control current/feedback terminals. These results establish a previously unexplored, biologically similar architectural approach to neuromorphic computing that is scalable while dissipating energy of atto Joules/spike.
On the Earliest Parkinsonia (Ammonoidea: Parkinsoniidae) from the Upper Bajocian (Middle Jurassic) of the Northern Caucasus, Russia
Authors: Mitta V. V.
Published: April 2022

The first representatives of the genus Parkinsonia previously described from Georgia as P. djanelidzei Kakhadze, 1937 and P. djanelidzei var. dertshiensis Kakhadze, 1937 are revised. P. djanelidzei [M] and P. dertshiensis [m] are described and illustrated. The name P. (Okribites) djanelidzei Kakhadze, 1937 is a junior primary homonym of P. (Parkinsonia) djanelidzei Kakhadze, 1937 and is permanently invalid.
AAC Coldfront hard red winter wheat
Authors: Graf R.J. , Beres B.L. , Laroche A. , Aboukhaddour R. , Humphreys D.G. , Larsen R.J. , Randhawa H.S. , Foroud N.A. , Sidhu H.S.
Published: April 2022

AAC Coldfront is a hard red winter wheat (Triticum aestivum L.) cultivar with broad adaptation and excellent performance in all production areas of western Canada. Eligible for grades of Canada Western Red Winter (CWRW) wheat, AAC Coldfront was evaluated in the Western Canadian Winter Wheat Cooperative registration trials relative to CDC Buteo, Emerson, Moats, and AAC Elevate. Based on 32 replicated trials over 3 years (2017/2018–2019/2020), AAC Coldfront produced significantly more grain than all of the checks (108–115%) at a protein concentration similar to the check mean, suggesting an improved capacity to convert soil moisture and nutrients into grain under a wide range of western Canadian field conditions. AAC Coldfront expressed very good winter survival, medium to late maturity, short to moderate height, excellent lodging resistance, and high test weight. AAC Coldfront was rated resistant to stem, leaf, and stripe rust, intermediate in resistance to Fusarium head blight, and susceptible to common bunt. It became a check for western Canadian winter wheat registration trials in 2021/2022.
Experimental study on the FBC chamber for analysis of temperature and combustion efficiency using palm oil biomass fuel
Authors: Mahidin  , Hamdani  , Hisbullah  , Erdiwansyah  , Muhtadin  , Faisal Muhammad , Usman  , Sidik Nor Azwadi Che
Published: April 2022

Renewable energy sources such as palm oil biomass solid waste have attracted the interest of scientists. This is because palm oil biomass is suitable for conversion to heat energy so that the dependence on conventional fossil energy can be reduced. This study aimed to analyze the combustion temperature and efficiency in fluidized-bed combustor (FBC) combustion chambers using palm oil biomass (such as palm kernel shell (PKS), empty fruit bunches (EFBs), and palm oil midrib (OPM)). In addition, the remaining combustion ash from the testing process was analyzed using Gaussian equations. In this study, experiments were conducted through combustion in the FBC space. The results of the experimentation from the combustion process with EFB fuel showed higher efficiency than those with OPM and PKS fuels. The efficiency level of the EFB , OPM, and PKS fuels was 12.77%, 11.05%, and 10.63%, respectively. The analysis results for the highest temperatures were recorded for the EFB fuels, which reached 1045 °C, while the highest temperatures recorded for the PKS and OPM fuels were 875 and 934 °C, respectively, for measurements on measurement point 1 (MP-1). For point of measurement point 2 (MP-2), the highest temperatures recorded for the PKS, OPM, and EFB fuels were 935, 866, and 633 °C. Overall, the tests performed showed that the level of efficiency was in line with the testing process.
Chern–Moser operators and weighted jet determination problems in higher codimension
Authors: Blanc-Centi Léa , Meylan Francine
Published: April 2022

Counterexamples to the [Formula: see text]-jet determination Chern–Moser Theorem in codimension [Formula: see text] have recently been constructed [16]. We extend the Chern–Moser approach for hypersurfaces to real submanifolds of higher codimension in complex space to derive results on jet determination for their automorphism group. Using these techniques, we show that the [Formula: see text]-jet determination Chern–Moser Theorem holds in codimension 2.
A DSMC program that supports different heterogeneous systems to simulate near-continuum gases
Authors: Zhang Chenchen , Wen MinHua , Zhang Bin , Lin James , Liu Hong
Published: April 2022

It has become a trend for Direct Simulation Monte Carlo (DSMC) to simulate near-continuum gas, which makes the problem of a large amount of computation more prominent in turn. Moreover, heterogeneous architecture is becoming mainstream for modern supercomputers. Speeding DSMC on heterogeneous systems has been a must consideration for DSMC researchers. However, little research on the DSMC program that supports different heterogeneous systems is available. In this paper, we developed a DSMC program supporting heterogeneous systems through OpenMP4.5, and our codes can execute on many accelerators in theory such as Nvidia GPUs, AMD GPUs and Intel Many Integrated Core (MIC) products. The implementation of our heterogeneous DSMC is elaborated first, and then we explain the algorithm proposed to generate random numbers on accelerators. In addition, the optimization methods, including load-balance and granularity refinement strategy, branch elimination, and particles’ removal and entering, are described in detail, respectively. A shock-bubble interaction (SBI) case under Knudsen number of [Formula: see text] is utilized to validate the accuracy of our DSMC and do the performance analysis. An Nvidia RTX 2080 serves as a device, and the results show that our program can not only gain accurate flowfield information, but also perform well under different computing loads. More specifically, the whole speedup ratio of [Formula: see text] can be obtained relative to a single CPU core, and for the subroutine Collision, the ratio can even reach approximately 90.
The impact of dark matter on neutron stars with antikaon condensations
Authors: Ding Wen-Bo , Cai Ming-Da , Chan Aik Hui , Xu Yan
Published: April 2022

In this paper, we study the impact of dark matter (DM) on neutron stars (NSs) that contain antikaon (including [Formula: see text] and [Formula: see text]) condensations. DM is assumed to be made of nonself annihilating, but strongly or weakly self-interacting fermions. The competition between DM and antikaon condensations makes the gross stellar properties and neutrino emission features of NSs change violently. Results show that the role of antikaon condensations on DM-admixed NSs with weak self-interaction among DM particles is considerable. However, the effect of antikaon condensations with strong self-interaction seems feeble. DM with weak self-interaction favors the occurrence of antikaon condensations in turn, and both [Formula: see text] and [Formula: see text] condensations are allowed in low-mass DM-admixed NSs. With the fixed medium stellar mass, the neutrino emissivity at the core of the DM-admixed NS with antikaon condensations becomes much lower than that in normal NS matter.
Gravitational lensing by some parametrizations of dark energy in the universe
Authors: Kundu Rownak , Debnath Ujjal
Published: April 2022

We have studied the statistical probability of finding gravitational lenses in the background of a flat Friedmann-Robertson-Walker (FRW) universe for some of the well-established dark energy (DE) parametrization models (Models I–V). We have considered cases where DE and dark matter are separately conserved and interact with each other, and probed the models against varied density parameter [Formula: see text]. Further, we have investigated the models using the varying equation of state (EoS) parameter. We have analyzed the optical depth [Formula: see text] for these DE models. The result of our study has been almost within the estimate.
Research on Short-Term Low-Voltage Distribution Network Line Loss Prediction Based on Kmeans-LightGBM
Authors: Tang Zhu , Xiao Yuhang , Jiao Yang , Li Xinyu , Zhang Caixia , Sun Jun , Wang Peng
Published: April 2022

Due to the lack of data quality in real production environment, the traditional line loss calculation method cannot be applied, thus through the investigation of various information systems’ operation in power supply enterprises, a short-term low-voltage distribution network line loss prediction algorithm based on Kmeans-LightGBM is proposed. Operating data quality evaluation system of low-voltage distribution network was set up based on Hadoop platform, the feature dimensions were expanded by feature engineering, then those with no multicollinearity and high correlation with the line loss were selected, data normalization was again performed, Kmeans clustering algorithm was used to cluster the area and then, LightGBM algorithm was used to predict the classes within the area of line loss. Finally, the line loss of the numerical inverse normalization was found and validated with Beijing Power Grid of a low-voltage distribution network. By comparison, the model’s prediction accuracy is found to be higher than BPNN, FOA-SVR and traditional LightGBM.
Knot cobordism and Lee’s perturbation of Khovanov homology
Authors: Zhuang Zipei
Published: April 2022

For a connected cobordism [Formula: see text] between two knots [Formula: see text] in [Formula: see text], we establish an inequality involving the number of local maxima, the genus of [Formula: see text], and the torsion orders of [Formula: see text], where [Formula: see text] denotes Lee’s perturbation of Khovanov homology. This shows that the torsion order gives a lower bound for the band-unlinking number.
Maps on random hypergraphs and random simplicial complexes
Authors: Ren Shiquan , Wu Chengyuan , Wu Jie
Published: April 2022

Let [Formula: see text] be a simplicial complex. In this paper, we study random sub-hypergraphs and random sub-complexes of [Formula: see text]. By considering the minimal complex that a sub-hypergraph can be embedded in and the maximal complex that can be embedded in a sub-hypergraph, we define some maps on the space of probability functions on sub-hypergraphs of [Formula: see text]. We study the compositions of these maps as well as their actions on the space of probability functions.
AN ECOEPIDEMIC SEASONALLY FORCED MODEL FOR THE COMBINED EFFECTS OF FEAR, ADDITIONAL FOODS AND SELECTIVE PREDATION
Authors: MAITY SASANKA SHEKHAR , TIWARI PANKAJ KUMAR , PAL SAMARES
Published: April 2022

In this paper, we study a predator–prey system in which the prey population is infected from a parasite and the growth of susceptible prey is suppressed due to fear of predation. We consider that the predators have the ability to distinguish between the susceptible and infected prey items, and they avoid the infected ones to reduce fitness cost. The predators are assumed to die naturally and also due to intraspecific competition. The proposed model is analyzed mathematically for the feasibility and stability of the system’s equilibria. We also discuss the existence of Hopf bifurcation by taking the feeding preference of predators as a bifurcation parameter. We perform global sensitivity analysis to identify model parameters having significant impact on the density of predator population in the ecosystem. Our simulation results show the stabilizing role of selective feeding of predators whereas fear factor and disease prevalence induce limit cycle oscillations. Feeding more the predators with additional foods bring stability in the system by evacuating the persistent oscillations. To model the situation more realistically, we consider that the parameters representing the cost of fear and the feeding preference of predators vary with time. For the seasonally forced system, conditions are obtained for which the system has at least one positive periodic solution; global attractivity of the positive periodic solution is also discussed. Our seasonally forced model demonstrates the appearance of a unique periodic solution, higher periodic solutions and complex bursting patterns.
Competition Effects of a New Asset on a Similar Existing Asset in the Same Market: The iShares Versus the Closed-End Country Fund
Authors: Tsai Pei-Jung , Ho Chia-Cheng , Tsai Pei-Su
Published: April 2022

The study examines an old but unique event from a new perspective and provides important insights to the financial literature. The result suggests that the competition from the later-launched iShares funds can improve pricing efficiency but decrease liquidity of the corresponding existing country funds. Furthermore, these effects are more profound for emerging country funds than for developed country funds.
A Cross-Tabulation to Know the Relationship between Financial Performance and Leverage on a Company’s Tax Reporting and Tax Compliance
Authors: Hidayat Kadarisman , Khifni Mokhamad , Rahayu Sri Mangesti , Saifi Muhammad
Published: April 2022

Purpose: Classify the characteristics of taxpayers in paying tax compliance based on financial performance, leverage, and tax reporting and analyze the relationship between financial performance and leverage on tax reporting and tax compliance companies.

Design/method: This research was conducted at the Office of the Foreign Investment Tax Service in the Six Regional Offices of the DJP Jakarta, especially the Directorate General of Taxes (KPP PMA ENAM). The population in this study were corporate taxpayers registered at KPP PMA ENAM 2015–2018, namely 750 taxpayers. Sampling using the purposive method obtained as many as 660 companies. Cluster analysis and cross-tabulation were used as analysis methods in this study.

Findings: In particular, corporate tax reporting depends on financial performance, but only on high-level corporate clusters that depend on leverage as well. While in the low company cluster (Cluster 1) tax compliance is influenced by these three variables, in the medium cluster (Cluster 2) tax compliance does not depend on these three variables, while in the high cluster (Cluster 3) tax compliance is only influenced by leverage.

Originality: The cluster analysis method and the cross-tabulation method are used to analyze the effect of the financial performance and leverage variables on the tax reporting and tax compliance variables.
An Analysis of State Capital Share and Its Implications to the Efficiency-Equality Nexus
Authors: Wu Ying , Yao Hong
Published: April 2022

This paper investigates the impact of state ownership on the efficiency-equality tradeoff in a mixed economy with both state and nonstate sectors. Using overall capital productivity as an efficiency proxy and state output share as an inequality proxy, we identify the efficiency threshold of state capital share that splits the efficiency-equality relationship between a tradeoff and nontradeoff. When state capital share is greater than the threshold (as evidenced in the case of China), lowering state capital share improves efficiency and reduces inequality. Furthermore, our simulation results suggest that the threshold is sensitive to capital shares in output of the both sectors. A broad scope for mutual gains in efficiency and equality exists by raising the capital share in nonstate output and lowering the capital share in state output.
Counting the ideals with given genus of a numerical semigroup
Authors: Moreno-Frías M. A. , Rosales J. C.
Published: April 2022

If [Formula: see text] is a numerical semigroup, denote by [Formula: see text] the genus of [Formula: see text]. A numerical semigroup [Formula: see text] is an [Formula: see text]-semigroup if [Formula: see text] is an ideal of [Formula: see text]. If [Formula: see text], then we denote by [Formula: see text] the number of [Formula: see text]-semigroups with genus [Formula: see text]. In this work, we conjecture that [Formula: see text] if [Formula: see text] and we show that there is a term from which this sequence becomes stationary. That is, there exists [Formula: see text] such that [Formula: see text] [Formula: see text] for all [Formula: see text] Moreover, we prove that the conjecture is true for ordinary numerical semigroups, that is, numerical semigroups which the form [Formula: see text] for some positive integer. Additionally, we calculate the term from which the sequence becomes stationary.
Could NAO Robot Function as Model Demonstrating Joint Attention Skills for Children with Autism Spectrum Disorder? An Exploratory Study
Authors: Cao Hoang-Long , Simut Ramona E. , Krepel Noralie , Vanderborght Bram , Vanderfaeillie Johan
Published: April 2022

Previous studies reported that children with autism spectrum disorder (ASD) show a certain interest in social robots. This makes social robots potential to be a model to teach social skills. This exploratory study aims to investigate whether three types of joint attention skills (i.e., eye-contact, pointing, gaze-following) could be improved for five preschoolers with ASD using an evidence-based robot-modeling intervention with a humanoid social robot NAO. Our observation shows that these children were motivated when interacting with NAO by following and responding correctly to NAO’s joint attention behaviors. Although some improvements were found, no pattern or systematic effect could be revealed. In the future, more evidence-based studies are needed to investigate the benefits of robot-assisted therapy more deeply.
A STUDY OF WARMING DEVICES AND PERIOPERATIVE FACTORS POTENTIALLY CONTRIBUTING TO SURGICAL FIELD CONTAMINATION IN SMALL ANIMAL PATIENTS
Authors: Tsai Ying-Ting , Yeh Kuang-Sheng , Yeh Lih-Seng
Published: April 2022

Bacterial contamination on surgical drapes may increase the risk of surgical site infection (SSI). This preliminary investigation analyzed the relationship between forced-air warming devices and bacterial contamination on surgical drapes in small animal soft tissue surgery settings. The subjects of this study were canine and feline patients enrolled in clean surgical procedures at the National Taiwan University Veterinary Hospital. Bacterial colonies on surgical drapes were sampled on agar plates immediately prior to and 1[Formula: see text]h after skin incision. Cases with bacteria growth on the post-incision sampled agar were considered with surgical field contamination (SFC). Intraoperative warming methods (forced-air warming systems or circulating water blankets) and other factors that potentially contribute to SFC (drape material, patient features, surgical procedure types, surgeons, and number of operating room personnel) were recorded. The study comprised 57 operations, 28 cases belonged to the circulating water blanket group and 29 belonged to the forced-air warming system group. No differences in contamination rate were detected among intraoperative warming methods, drape materials, patient characteristics, surgical procedure types, or number of operating room personnel. However, a significant difference in contamination rate was detected among surgeons.
Chebyshev polynomials and Galois groups of De Moivre polynomials
Authors: Girstmair Kurt
Published: April 2022

Let [Formula: see text] be an odd natural number. In 1738, Abraham de Moivre introduced a family of polynomials of degree n with rational coefficients, all of which are solvable. So far, the Galois groups of these polynomials have been investigated only for prime numbers [Formula: see text] and under special assumptions. We describe the Galois groups for arbitrary odd numbers [Formula: see text] in the irreducible case, up to few exceptions. In addition, we express all zeros of such a polynomial as rational functions of three zeros, two of which are connected in a certain sense. These results are based on the reduction of an irrational of degree 2n to irrationals of degree [Formula: see text]. Such a reduction was given in a previous paper of the author. Here, however, we present a much simpler approach that is based on properties of Chebyshev polynomials. We also give a simple proof of a result of Filaseta et al.
Mixed-Phase TiO2 with Oxygen Vacancies for Enhanced Visible Light Photocatalysis Performance
Authors: Chen Xi , Deng Tian-Song , Zhou Ming , Dong Zhihua , Cheng Zhiqun
Published: April 2022

Because of the decrease in the band gap and the carrier recombination rate, the visible light photocatalysis performance of the mixed-phase TiO2 with oxygen vacancies is better than that of the pure-phase TiO2. In this study, two different acids were separately applied in the hydrothermal synthesis of TiO2 nanoparticles without any post-heat treatment. The reaction was carried out at a relatively low temperature not exceeding 140∘C. Both kinds of crystallized TiO2 powders show much more band gap reduction than that of commercial Degussa P25 TiO2 nanoparticles, which can be attributed to the oxygen vacancies. Under the visible light illumination-assisted photocatalytic degradation of methyl orange in water, the two mixed-phase TiO2 powders exhibited a steady photocatalytic activity upon increasing to five cycles. The highest photocatalytic efficiency of the two powders is 2.7 times than that of the P25 powder, which is regarded as an excellent photocatalyst for water purification.
Site-specific Investigations of the Earthquake Activities and Hazards for Some Caves in Thailand
Authors: Pailoplee Santi , Chawchai Sakonvan , Nimnate Parisa
Published: April 2022

The seismicity for 35 natural caves in Thailand was investigated probabilistically in order to provide information on their potential earthquake situation. All values representing the earthquake activities within a 300-km radius and the seismic hazard level at each cave were clarified. Seismotectonically, 28 of the 35 caves are situated within previously proposed seismic source zones and most of the seismogenic faults nearby each cave is presently still active, as determined by seismicity and paleoseismological evidence. For the present-day seismicity, the Pla cave in northwest Thailand (situated 0.3[Formula: see text]km from the Mae Hong Son-Tak fault) showed a comparatively high [Formula: see text]-value (4.16) suggesting a high entire seismicity rate, but a relatively high [Formula: see text]-value of 0.82. With respect to the [Formula: see text]-value, which inversely represents the accumulated seismotectonic stress, the caves at Pha Puang, Lom-Wang, Naresuan and Fha Mue Daeng in the Central-North regions had a comparatively low [Formula: see text]-value ([Formula: see text]), indicating a high accumulated stress. Based on the recognized earthquake sources and the utilized strong ground-motion attenuation model, the seismic hazard analyses revealed that the caves at Daowadeung, Phra Thart and Lawa in Western Thailand were in the highest seismic hazard areas. This new study contributes to important information for geotourism (e.g. mitigation planning) and selecting/prioritizing speleoseismological investigation sites.
Mathematical analysis of Hepatitis C Virus infection model in the framework of non-local and non-singular kernel fractional derivative
Authors: Slimane Ibrahim , Nazir Ghazala , Nieto Juan J. , Yaqoob Faheem
Published: April 2022

In this paper, we study a mathematical model of Hepatitis C Virus (HCV) infection. We present a compartmental mathematical model involving healthy hepatocytes, infected hepatocytes, non-activated dendritic cells, activated dendritic cells and cytotoxic T lymphocytes. The derivative used is of non-local fractional order and with non-singular kernel. The existence and uniqueness of the system is proven and its stability is analyzed. Then, by applying the Laplace Adomian decomposition method for the fractional derivative, we present the semi-analytical solution of the model. Finally, some numerical simulations are performed for concrete values of the parameters and several graphs are plotted to reveal the qualitative properties of the solutions.
Stochastic Nicholson’s blowflies model with delays
Authors: Belmabrouk Nadia , Damak Mondher , Miraoui Mohsen
Published: April 2022

In this research work, we introduce a new concept of double measure ergodic processes to identify the spaceof double measure pseudo almost periodic (or pap) processes in the pth mean sense. We display some findings regarding the completeness as well as the composition theorems and the invariance of the space consisting in double measure pap processes. Motivated by the above-mentioned results, the Banach fixed point theorem and the stochastic analysis techniques, we prove the existence, uniqueness and the global exponential stability of doubly measure pseudo almost periodic mild solution for a class of stochastic Nicholson’s blowflies model with mixed delays in a separable real Hilbert space. The concluding part of the work is crowned with an example to confirm the reliability and feasibility of our findings.
Stability of within host HTLV-I/HIV-1 co-infection in the presence of macrophages
Authors: Elaiw A. M. , Alshamrani N. H. , Dahy E. , Abdellatif A. A.
Published: April 2022

The main target of both human immunodeficiency virus type 1 (HIV-1) and human T-lymphotropic virus type I (HTLV-I) is the CD4+ T cell which is considered the key player in the immune system. Moreover, HIV-1 has another target that is the macrophages. The present paper aims to formulate and develop a mathematical model to analyze the interaction of two viruses, HIV-1 and HTLV-I with the immune system. We determine a bounded domain for the concentrations of the model’s compartments. We discuss the dynamical behavior of the model and analyze the existence and stability of the system’s steady states. The global asymptotic stability of all steady states is proven by utilizing the Lyapunov method. We also demonstrate the dynamical behavior of the system numerically. The significant impact of macrophages on the HTLV-I/HIV-1 co-infection dynamics is discussed. Our developed model will contribute to the understanding of HTLV-I/HIV-1 co-infection dynamics and help to choose different treatment strategies against HIV-1 and HTLV-I.