bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Research of Image Encryption Algorithm Based on Double Time-delay Lorenz System
Authors: Zhou Yuzhen , Zhu Erxi , Li Shan 
Published: September 2022

Abstract
Traditional image encryption technology is usually disadvantaged by low encryption efficiency and inadequate security. In this paper, the time-delay chaos theory was combined with traditional encryption technology to propose a double time-delay chaos-based image encryption algorithm according to the characteristics of image information. First of all, the nonlinear dynamics theory was applied to study the stability of the double time-delay Lorenz system at the equilibrium point and the preconditions for Hopf bifurcation. Then, an analysis was conducted as to the distribution of corresponding characteristic Eq.roots at the equilibrium point, thus obtaining the time-delay critical points for the local asymptotic stability and Hopf bifurcation of the system at the equilibrium point. Secondly, the time-delay critical point was referenced to design the relevant system parameters and time delay of the double time-delay Lorenz system entering the chaotic state, through which the pseudo-random sequence of the chaotic system was determined. Thirdly, the pseudo-random sequence was used for scrambling and diffusion, so as to complete image encryption. Finally, simulation experiment and analysis were conducted for the algorithm from various perspectives such as key space size, key sensitivity, plaintext image sensitivity, plaintext histogram, and so on. According to the research results, the proposed algorithm was capable of producing satisfactory scrambling effect and effective in encrypting and decrypting images without distortion. Meanwhile, the scheme demonstrated not only a certain level of robustness to statistical attack, selective plaintext attack and noise, but also higher stability.
The impact of pretransplant use of tyrosine kinase inhibitors on allogeneic stem cell transplantation in patients with chronic myeloid leukemia - A single-institution retrospective study
Authors: Fujita Shinya , Sakurai Masatoshi , Kasahara Hidenori , Kato Jun , Koda Yuya , Yamaguchi Kentaro , Shiroshita Kohei , Okayama Mikio , Abe Ryohei , Kikuchi Taku , Shimizu Takayuki , Mori Takehiko , Kataoka Keisuke , Okamoto Shinichiro 
Published: September 2022

Abstract

Second- and third-generation (2/3G) tyrosine kinase inhibitors (TKIs) possess excellent treatment effects on chronic myeloid leukemia (CML), and at least one 2/3G TKI is mostly incorporated into the first treatment of CML in all phases. However, the impact of 2/3G TKIs on subsequent allogeneic stem cell transplantation (allo-SCT) remains to be elucidated. We retrospectively evaluated how pretransplant therapy with TKIs affects the outcome of allo-SCT for CML using the clinical data of thirty-two patients with CML transplanted between 2001 and 2020 at our institution. Except for 11 patients who remained in the chronic phase (CP) until the time of allo-SCT, 10 patients were initially diagnosed with accelerated or blastic phase (AP/BP), and 11 patients progressed to AP/BP during the treatment for CP. With subsequent use of 2/3G TKI or imatinib (IM), 10 and 4 patients returned to the second CP at the time of allo-SCT, respectively. In univariate analysis, pretransplant use of 2/3 GTKI was significantly associated with higher 5-year overall survival (91.7%) and relapse-free survival (75.0%) than the use of IM (37.5% and 12.5%, respectively) in patients presenting with or progressing to AP/BP before allo-SCT. Our results suggest that pretransplant use of 2/3G TKI improves the outcome of allo-SCT in CML patients who present with AP/BP at diagnosis or progress to the advanced phase thereafter.
Metataxonomic Analysis of Feces from Older Adults with and without HIV Title 2: Aging, HIV, and Gut Dysbiosis
Authors: Sánchez-Conde Matilde , Alba Claudio , Castro Irma , Dronda Fernando , Ramírez Margarita , Arroyo Rebeca , Moreno Santiago , Rodríguez Juan Miguel , Brañas Fátima 
Published: September 2022

Abstract
Background: HIV infection has been postulated as a model of accelerated aging. Previous studies have suggested a link between aging, frailty, and gut dysbiosis, but there is a knowledge gap in this field regarding the HIV population. Our objective was to explore the gut dysbiosis in older people with HIV (PWH) compared to non-HIV controls and to assess its possible link with frailty.
Methods: A total of 36 fecal samples were submitted to a metataxonomic analysis. 24 were from PWH > 55 years and the other 12 were non-HIV healthy controls.
Results: Alpha diversity was significantly higher in the control group than in the HIV group (Shannon index,3.74 [3.65-3.94] and 3.56 [3.32-3.69]], respectively; p < 0.05). At the genus level, the relative abundance of the genus Blautia was higher in the HIV group. Presence of Blautiawas also higher in PWH patients with depression, whereas the contrary was observed for the genus Bifidobacterium.
Conclusions: Our study shows significant shifts in the composition of the bacteriome of PWH when compared to that of healthy controls. To our knowledge, this is the first study suggesting a potential link between depression and gut dysbiosis in the HIV population.
Hybrid COOT–ANN: a novel optimization algorithm for prediction of daily reference evapotranspiration in Australia
Authors: Mirzania Ehsan , Kashani Mahsa Hasanpour , Golmohammadi Golmar , Ibrahim Osama Ragab , Saroughi Mohsen 
Published: September 2022

Abstract
The present study evaluates the capability of a novel optimization method in modeling daily reference evapotranspiration (ET0), a critical issue in water resource management. A hybrid predictive model based on the ANN Algorithm that is embedded within the COOT method (COOT bird natural life model- Artificial Neural Network (COOT-ANN)) is developed and evaluated for its suitability for the prediction of daily ET0 at seven meteorological stations in different states of Australia. Accordingly, a daily statistical period of 12 years (01-01-2010 to 31-12-2021) for climatic data of maximum temperature, minimum temperature, and ET0 were collected. The results are evaluated using six performance criteria metrics: correlation coefficient (R), Root Mean Square Error (RMSE), Nash-Sutcliffe efficiency (NSE), RMSE-observation standard deviation ratio (RSR), Scatter Index (SI), and mean absolute error (MAE) along with the Taylor diagrams. The performance of the COOT-ANN model was compared with those of the conventional ANN model. The results showed that the COOT-ANN hybrid model outperforms the ANN model at all seven stations; and so this study provides an innovative method for prediction in agricultural and water resources studies.
Otolith morphological study and biometric analysis of two hermaphrodite species Sarpa salpa and Serranus scriba (Linnaeus, 1758) in Bizerte Sea
Authors: Bakkari Wided , Mejri Marwa , Chalh Abdellah , Quignard Jean-Pierre , Trabelsi Monia 
Published: September 2022

Abstract
In this study two hermaphrodite species samples of Bizerte sea.In order to compare the morphological variability (Fourier coefficients) and biometric charcaters (length, width, area and otolith perimeter). The result show a significant results that are clearly demonstrated by an asymmetry when comparing otoliths (P < 0.05) for S.scriba and for S.salpa showed a symmetry (P = 0.056).However for biometric comparison, between the rigth and left otoliths for each population, we detected a highly difference between otolith in all the parameter of S.salpa . All these difference existing between the two species can be related to the environmental specificity and stress. In addition, asymmetry in width character is could be explained by the vulnerability of this trait to immediate changes in environmental factors.
Photothermally induced natural vibration for versatile and high-speed actuation of crystals
Authors: Hagiwara Yuki , Hasebe Shodai , Fujisawa Hiroki , Morikawa Junko , Asahi Toru , Koshima Hideko 
Published: September 2022

Abstract
The flourishing field of soft robotics requires versatile actuation methodology. Natural vibration is a physical phenomenon that can occur in any material. Here, we report high-speed bending of anisole crystals by natural vibration induced by the photothermal effect. Rod-shaped crystal cantilevers undergo small, fast repetitive bending due to natural vibration accompanied by large photothermal bending under ultraviolet light irradiation. The natural vibration is greatly amplified by resonance upon pulsed light irradiation at the natural frequency to realise high frequency (~ 700 Hz), large bending, and high energy conversion efficiency. The natural vibration is induced by the thermal load generated by the temperature gradient in the crystal due to the photothermal effect. The bending behaviour is successfully simulated using finite element analyses. Any light-absorbing crystal can be actuated by photothermally induced natural vibration. This finding of versatile crystal actuation can lead to the development of soft robotics.
How Do Supporters Respond When Mentioned on Twitter by a Political Elite? Examining the Impact of Prime Minister Narendra Modi’s Tweets in the 2019 Indian General Election
Authors: Neyazi Taberez Ahmed , Ee Tan Khai , Haque Mohammad Amaan 
Published: September 2022

Abstract
Does interactivity on Twitter initiated by political elites yield dividends in terms of indirect outcomes such as online political mobilization? Twitter has traditionally been utilized by political elites mainly as broadcasting media, characterized by its limited interactions with the wider public. In doing so, political elites may be overlooking Twitter's utility as an interactive media for mobilizing their supporters, which we seek evidence for in this paper. We adopt a naturalistic quasi-experimental design utilizing a unique dataset comprising tweets of users who were mentioned (36.62 million tweets) and not mentioned (29.73 million tweets) by Prime Minister Narendra Modi on 16th March, 2019 during his general election campaign. A controlled intervention analysis using Autoregressive Integrated Moving Average (ARIMA) models was carried out, which suggests that, on average, the total tweets count increased more for users mentioned by Modi (treatment group) as compared to those not mentioned by Modi (control group). However, no substantive lasting effect could be detected, indicating therefore that a mention by political elites helps generate immediate engagement which is not necessarily self-sustaining. To determine if this activation behavior is more prominent for less or more active users, we categorized the users based on their Twitter activity and assessed the significance of any movement between categories; no evidence could be found in support of this claim. Our findings thus provide important insights to understand how Twitter can be used as an effective platform for political campaigns by exploiting some of its interactive features such as replies and mentions to mobilize supporters.
Self-serving Regret: Experimental Evidence from a Reciprocity Game
Authors: Lian Zeng , Shen Xin , Zheng Jie 
Published: September 2022

Abstract
Self-interested behavior has been well identified in dictator games: people allocate little or nothing to serve their interests better. Although it has long been recognized that beliefs about others are critical in interpersonal interactions, the mechanism by which self-serving beliefs result in self-serving behavior remains unclear. To explore the relationship among the conflict of interest, belief formation, and the resulting behavior, this study designed a three-stage reciprocity game with belief elicitation and regret option and conducted a laboratory experiment using university students as the subject pool. By asking recipients to predict the allocators' decisions and incentivizing the prediction, we discover that people rationalize their own self-serving bias by believing that others are similarly self-interested and then returning the 'favor' in the name of fairness. Additionally, this study examined post-decision regret by the reciprocators, and the asymmetry between upward and downward adjustments indicates a self-serving pattern: Reciprocators who under-estimated the allocated amount are less likely to make an upward adjustment compared to the likelihood of downward adjustment made by those who over-estimated the allocated amount. This study contributes to the literature on self-serving bias by better understanding the presence of self-serving beliefs and self-serving behavior.
Investigation on the characteristics of inserts supporting run-flat tire blowout under typical driving conditions considering the camber angle
Authors: Wang Xingyu , Zang Liguo , Lv tian , li Yaowei 
Published: September 2022

Abstract
Run-flat tires are an important solution to solve the traffic accidents of tire blowout and the inserts supporting run-flat tire (ISRFT) can effectively solve the problem of zero-pressure driving after the tire blowout. Since the characteristics of vehicles equipped with this run-flat tire after tire blowout is different from that of normal tires, a reasonable tire model is required to develop the dynamic response characteristics. In this paper, the theoretical analysis of the zero-pressure rolling for the inserts supporting run-flat tire was firstly carried out, and steady-state mechanical characteristics tests were conducted to obtain the mechanical characteristics. Secondly, a dynamics model based on the UniTire model was developed for inserts supporting run-flat with the consideration of camber angle.Finally, three sets of typical working conditions were selected to compare the effect of different camber angles on the tire blowout parameters of vehicles equipped with inserts supporting run-flat tire and normal tire (NT), which proved the superiority characteristics of inserts supporting run-flat tire. This study provides a basis for improving the autonomous characteristics of vehicles.
Cardiac Morphology in Neonates With Fetal Growth Restriction
Authors: Bjarkoe Lisa , Fugelseth Drude , Haugen Guttorm , Kiserud Torvid , Harsem Nina , Nestaas Eirik 
Published: September 2022

Abstract
Objective: Assess effects of fetal growth restriction (FGR) on cardiac modelling in premature and term neonates.
Study design: Prospective echocardiographic cohort study comparing FGR neonates (n=21) and controls (n=41) with normal prenatal growth and circulation.
Results: Unadjusted for gestational age, birth weight, sex and twin/singleton, Late-FGR neonates had smaller hearts than controls, with globular left ventricles and symmetrical right ventricles. Adjusted estimates showed smaller left ventricles and similarly sized right ventricles, with symmetrical left and right ventricles. Early-FGR (compared with Late-FGR) had smaller hearts and globular left ventricles in unadjusted estimates, but after adjustment, sizes and shapes were similar.
Conclusion: FGR had significant impact on cardiac modelling, both unadjusted and when adjusted for gestational age, birth weight, sex and twin/singleton. The adjustments, however, refined the results notably and represents more specific the effects of FGR, thus underscoring the importance of adjustments in such studies.
Data-Driven Inference of Low Order Representations of Observable Dynamics for an Airfoil Model
Authors: Dewanjee Adharaa Neelim , Sahyoun Samir , Djouadi Seddik , Wilson Dan 
Published: September 2022

Abstract
We implement an adaptive isostable reduction strategy to obtain a data-driven reduced order model that captures the dynamics of observables in a computational model for fluid flow over an airfoil at moderate Reynolds numbers. The resulting model characterizes the response to both time-varying inflow conditions and Dirichlet boundary conditions on the surface of the airfoil meant to represent suction or blowing through the action of surface jets. The resulting reduced order model behaviors agree well with the dynamics of the full order model simulations in response to both open loop and closed loop inputs. This study provides a proof of concept that reduced order modeling techniques adaptive isostable coordinates can be successfully used in realistic fluid flow models using geometries with practical relevance.
Study of the Blume-Emery-Griffiths Model for Mixed Carbon-Like Nanotube: Monte Carlo Study
Authors: Fadil Z. , Saber N. , Eraki H. , Mhirech A. , Kabouchi B. , Bahmad L. 
Published: September 2022

Abstract
Monte Carlo study under the Metropolis algorithm is performed to investigate the ground phase diagrams and hysteresis electric cycles by using the Blume-Emery-Griffiths (BEG) model with the mixed spins (S-1, σ-3/2). Firstly, the ground state phase diagram has been established to show the more stable configurations corresponding to physical parameter EZ/JC. Moreover, the hysteresis electric cycle behaviors have been investigated by varying temperature, exchange coupling interactions, crystal field and biquadratic parameter of the carbon-like nanotube. It is found that the increase of the crystal field and the biquadratic exchange parameters decreases the surface of the loops leading to the apparition of the polarization plateaus.
Pretreatment platelet-to-lymphocyte ratio (PLR) as a prognosticating indicator for gastric cancer patients receiving immunotherapy
Authors: GOU Miaomiao , Zhang Yong 
Published: September 2022

Abstract
Background: Previous investigations suggest that systemic inflammation markers are able to provide prognostic value in several cancers. This study seeks to characterize the ability of pretreatment platelet-to-lymphocyte ratio (PLR) to prognosticate advanced or metastatic gastric cancer patients (AGC or MGC, respectively) receiving immunotherapy.
Method: AGC and MGC patients exposed to PD-1 inhibitors from January 2016 - August 2021 in the Chinese PLA General Hospital were recruited. Correlations between PLR and overall survival (OS), progression-free survival (PFS), and immunotherapy-associated tumor response rates were determined.
Results: 237 patients were enrolled for this retrospective investigation. The 6month and 12 month PFS based on the area under the curve value was 0.60 and 0.65 (p<0.05). based on a calculated PLR cut-off value of 139.41, The PLR <139.41 group has a longer OS in contrast with the PLR ≥139.41 group (13.46m vs 10.71m, HR = 0.57`, 95% CI, 0.42-0.78, p =0.004). The PLR <139.41 group had a PFS of 7.93m in contrast to the 4.75m seen in those with PLR ≥139.41 group (HR = 0.57`, 95% CI, 0.43-0.76, p=0.002). The disease control rate (DCR) and objective response rate (ORR) were 86.17% and 30.85%, respectively, in the PLR <139.41 group, but were 82.52% and 32.17%, respectively in the PLR ≥139.41 group. Both groups did not show any marked differences in terms of ORR and DCR (p=0.887, p=0.476). PLR is an independent prognostic indicator for OS and PFS upon uni- and multivariate analyses (p<0.05).
Conclusions: Pre-treatment PLR correlated significantly with PFS and OS in AGC and MGC patients who received immunotherapy. An elevated PLR may provide guidance on subsequent treatment options.
High performance piezoelectric MEMS loudspeaker based on an innovative wafer bonding process
Authors: Liechti Romain , Durand Stéphane , Hilt Thierry , Casset Fabrice , Dieppedale Christel , Colin Mikaël 
Published: September 2022

Abstract
Despite a significant number of new structures in the past few years, MEMS loudspeaker still aren't competitive in terms of performance compared to non-MEMS loudspeakers for free field applications. For industrial perspectives, a high sound pressure level on a wide frequency band is required, as well as a low total harmonic distortion. To widen the frequency range of MEMS loudspeakers, we propose to separate the actuating element from the radiating one, in order to separate design constraints to reach an optimal structure. In this paper, the lumped element model of the loudspeaker in presented, as well as the innovative manufacturing process. Finally, the computed frequency response is compared to the measured one. At the resonance, pressures as high as 110 dBSPL at 1 kHz and at 10 mm are reported, which is above the known state of the art for a loudspeaker with similar dimensions. Also, the flatness of the radiated sound pressure in a wide frequency range is closer to the ideal frequency response of loudspeakers than other MEMS loudspeakers, due to the piston mode of the moving rigid plate of the loudspeaker. The total harmonic distortion, mainly due to the nonlinearity of the piezoelectric transduction, is below 5% for reasonable sound pressure levels in the usable frequency band. The use of digital signal processing and of a dedicated packaging will allow our loudspeaker to advantageously replace the main or secondary one in smartphones.
Social network factors affect nutrition risk in middle-aged and older adults: results from the Canadian Longitudinal Study on Aging
Authors: Mills Christine Marie , Keller Heather H. , DePaul Vincent Gerard , Donnelly Catherine 
Published: September 2022

Abstract
Objectives: To determine which social network, demographic, and health-indicator variables are associated with SCREEN-8 (nutrition risk) scores at two time points, three years apart, using data from the Canadian Longitudinal Study on Aging.
Design: A retrospective cross-sectional study.
Setting and participants: 17051 Canadians aged 45 years and older with data from baseline and first follow-up of the Canadian Longitudinal Study on Aging.
Measurements: Nutrition risk was measured using SCREEN-8. Social network factors included social network size, frequency of contact with social network members, social participation, social support, self-rated social standing, and household income. Demographic variables included age, sex assigned at birth, marital status, educational attainment, and living situation (alone or with others). Health-indicator variables included depression, disability, and self-rated general health, mental health, healthy aging, and oral health. Multivariable linear regression was used to analyze the relationship between the social network, demographic, and health-indicator variables and SCREEN-8 scores at two time points, three years apart.
Results: Among the social network variables, social participation, self-rated social standing, and social support were predictors of SCREEN-8 scores at baseline and follow-up. Among the demographic variables, marital status was a predictor of SCREEN-8 scores at both time points. For the health-indicator variables, depression, self-rated general health, healthy aging, and oral health were predictors of SCREEN-8 scores at both time points. Age was a predictor of SCREEN-8 scores at baseline, but not at follow-up.
Conclusion: Individuals with low social participation, low social standing, and low social support may be at increased nutrition risk and should be proactively screened by healthcare professionals. Interventions and community programs designed to increase levels of social participation and foster social support may help to reduce the prevalence of nutrition risk.