bluuebunny/crossref_metadata_2025_split huggingface dataset:
MTaxi: A comparative tool for taxon identification of ultra low coverage ancient genomes
Authors: Atağ Gözde , Vural Kıvılcım Başak , Kaptan Damla , Özkan Mustafa , Koptekin Dilek , Sağlıcan Ekin , Doğramacı Sevcan , Köz Mevlüt , Yılmaz Ardan , Söylev Arda , Togan İnci , Somel Mehmet , Özer Füsun 
Published: August 2022

A major challenge in zooarchaeology is to morphologically distinguish closely related species’ remains, especially using small bone fragments. Shotgun sequencing aDNA from archeological remains and comparative alignment to the candidate species’ reference genomes will only apply when reference nuclear genomes of comparable quality are available, and may still fail when coverages are low. Here, we propose an alternative method, MTaxi, that uses highly accessible mitochondrial DNA (mtDNA) to distinguish between pairs of closely related species from ancient DNA sequences. MTaxi utilises mtDNA transversion-type substitutions between pairs of candidate species, assigns reads to either species, and performs a binomial test to determine the sample taxon. We tested MTaxi on sheep/goat and horse/donkey data, between which zooarchaeological classification can be challenging in ways that epitomise our case. The method performed efficiently on simulated ancient genomes down to 0.5x mitochondrial coverage for both sheep/goat and horse/donkey, with no false positives. Trials on n=18 ancient sheep/goat samples and n=10 horse/donkey samples of known species identity with mtDNA coverages 0.1x - 12x also yielded 100% accuracy. Overall, MTaxi provides a straightforward approach to classify closely related species that are compelling to distinguish through zooarchaeological methods using low coverage aDNA data, especially when similar quality reference genomes are unavailable. MTaxi is freely available at https://github.com/goztag/MTaxi.
Distributionally Robust Optimization Based on Kernel Density Estimation and Mean-Entropic Value-at-Risk
Authors: Liu Wei , Yang Li , Yu Bo 
Published: August 2022

In this paper, a distributionally robust optimization model based on kernel density estimation (KDE) and mean entropic value-at-risk (EVaR) is proposed, where the ambiguity set is defined as a KDE-[Formula: see text]-divergence “ball” centered at the empirical distribution in the weighted KDE distribution function family, which is a finite-dimensional set. Instead of the joint probability distribution of the random vector, the one-dimensional probability distribution of the random loss function is approximated by the univariate weighted KDE for dimensionality reduction. Under the mild conditions of the kernel and [Formula: see text]-divergence function, the computationally tractable reformulation of the corresponding distributionally robust mean-EVaR optimization model is derived by Fenchel’s duality theory. Convergence of the optimal value and the solution set of the distributionally robust optimization problem based on KDE and mean-EVaR to those of the corresponding stochastic programming problem with the true distribution is proved. For some special cases, including portfolio selection, newsvendor problem, and linear two-stage stochastic programming problem, concrete tractable reformulations are given. Primary empirical test results for portfolio selection and project management problems show that the proposed model is promising.Funding: This work was funded by the National Natural Science Foundation of China [Grants 11971092 and 11571061] and the Fundamental Research Funds for the Central Universities [Grants DUT15RC(3)037 and DUT18RC(4)067].
Optimum Design of Impact Sensors With Array Structure Polyvinylidene Fluoride (PVDF) Films
Authors: Ying Sun , Nie Xin , Zhou Yuhan , Cao Rui , Yu Yonghua , Tian Hongping , Qian Xiangqun , Wang Jianping 
Published: August 2022

HighlightsThe impact sensors protected by shells and integrated with process circuits were proposed.Simulations and collision tests were performed to optimize the structure of the sensor.Accessories that can improve sensors’ detection accuracy were proposed.Multi-grain impact tests in a laboratory showed the RMSEs of two sensors were less than 1.67%.Abstract. Impact sensors are widely used to detect grain loss in harvesters, and the impact sensors with array structure polyvinylidene fluoride (PVDF) films have been proven to significantly increase the detection efficiency. However, uneven sensitivity and clutters from non-impacted sensitive units seriously affect the detection accuracy. This article proposes a protective shell for the impact sensors with array structure PVDF films. To improve the performance of this kind of sensor, we optimized the structure through finite element simulations and particle impact tests. The vibration modes under three pasting methods of sensitive units were analyzed. The relationship between the hardness of the elastic layer and response performances was investigated. To suppress the clutters, a method of splitting the elastic layer was proposed. Then, we manufactured two optimized impact sensors with one layer and two crossed layers of PVDF films and tested their performances. The results demonstrated that the sensitivities of the gaps between the PVDF films are poor. But when excluding the gaps’ data, the two sensors can meet the detection requirement. Accessories were proposed based on that characteristic to prevent particles from colliding with the gaps. After assembling the accessory, multi-grain impact tests showed that the root-mean-square errors (RMSEs) of the impact sensors with one layer and two crossed layers of PVDF films were 1.67% and 1.63%, respectively. Keywords: Grain loss detection, Particle impact test, Protective shell, Sensor accessory, Structure optimization.
Design and Evaluation of End Effectors for a Vacuum-Based Robotic Apple Harvester
Authors: Lu Renfu , Dickinson Nathan , Lammers Kyle , Zhang Kaixiang , Chu Pengyu , Li Zhaojian 
Published: August 2022

HighlightsA critical torque of 0.257 N-m is required to detach 95% of apples, when the preferred twist picking mode is used.New silicone-based end effectors performed much better than the original, non-conformable end effector.The straight end effector had the best overall picking performance with 87% picking success rate.The new vacuum-based harvesting robot looks promising for automated harvesting of apples.Abstract. The end effector plays a critical role in fruit picking by a robotic fruit harvesting system. A newly developed vacuum-based robotic apple harvesting system, using the twist-and-pull fruit picking method, has shown promise in picking fruit from clusters and navigating through the tree canopies. The robot’s original thin foam end effector failed to achieve acceptable picking performance because it was unable to conform to fruit of different sizes and thus could not generate sufficient suction forces needed to detach fruit. This research was therefore aimed at developing new end effectors to greatly enhance the robot’s fruit picking performance. Field manual pulling and twisting experiments for three varieties of apples were conducted, and the critical pulling or suction force and twisting torque needed to detach 95% of apples were determined to be 28.3 N and 0.257 N-m (equivalent to a pulling force of 21.0 N for the current robot’s configuration), respectively. Three new silicone-based end effectors of different geometries (denoted as “Straight”, “Bellow” and “Curved”) were designed and fabricated, and they were evaluated in lab and field experiments. Results showed that the three new end effectors performed significantly better than the original, unconformable end effector based on multiple performance metrics, including vacuum pressure, overall picking success rate, picking rate by the rotation mechanism, and fruit attachment orientation. The “Straight” end effector performed consistently better than the other two new end effectors; it had 87% overall picking success rate, 65% success rate by the rotation mechanism alone, and 89% success rate when the middle section or cheek of fruit attached to the end effector. With further improvements, the “Straight” end effector should meet the apple picking performance requirement for the new vacuum-based robotic harvesting system. Keywords: Apple, End Effector, Fruit, Harvest, Robotics, Vacuum.
Comparison between the persistence of post COVID-19 symptoms on critical patients requiring invasive mechanical ventilation and non-critical patients
Authors: Irisson-Mora Irene , Salgado-Cordero Angélica M. , Reyes-Varón Estefanía , Cataneo-Piña Daniela J. , Fernández-Sánchez Mónica , Buendía-Roldán Ivette , Salazar-Lezama Miguel A. ,   on behalf of the Occupational Health and Preventive Medicine Consortium
Published: August 2022

Background
During follow-up, patients severely affected by coronavirus disease 2019 (COVID-19) requiring invasive mechanical ventilation (IMV), show symptoms of Post-Intensive Care Syndrome (PICS) such as cognitive impairment, psychological disability, and neuromuscular deconditioning. In COVID-19 pandemic, it is a priority to develop multidisciplinary post-acute care services to address the long-term multisystemic impact of COVID-19.

Research question
Which are the most relevant multisystemic sequelae in severe post-COVID-19 patients?

Study design and methods
Observational chart review study that included adult patients discharged from a referral hospital for respiratory diseases in Mexico after recovering from severe COVID-19 disease from December 23, 2020, to April 24, 2021. Data were collected from 280 of 612 potentially eligible patients to evaluate persistent symptoms and compare sequelae in patients who required intubation, using a standardized questionnaire of symptoms, in addition to findings reported during the face-to-face health assessment. Univariable and multivariate analyses were performed for the association among the requirement of IMV and the long-term persistence of symptoms.

Results
280 patients were included. The median age was 55 (range, 19 to 86) years, and 152 (54.3%) were men. The mean length of hospital stay was 19 (SD, 14.1) days. During hospitalization 168 (60%) participants received IMV.
A large proportion of these patients reported fatigue (38.7%), paresthesia (35.1%), dyspnea (32.7%) and headache (28%); meanwhile only 3 (1.8%) of them were asymptomatic. Patients who required intubation were more likely to have neuropsychiatric (67.3% vs 55.4%; OR, 1.79 [95% CI, 1.08 to 2.97]) and musculoskeletal involvement (38.7% vs. 25.9%; OR, 1.92 [95% CI, 1.12 to 3.27]), adjusted for age,sex and hospitalization time.

Interpretation
The proportion of patients requiring intubation was 60%, reporting persistent symptoms in 98% of them. Neuropsychiatric and musculoskeletal symptoms were the most predominant symptoms in these patients, with a significant difference. Post-COVID-19 syndrome is a frequent problem in patients who required IVM. Physicians in ICU and in care of COVID-19 patients should be aware of this syndrome in order to avoid more complications.
Envejecimientos y cines ibéricos, Barbara Zecchi, Raquel Medina, Cristina Moreiras-Menor and María Pilar Rodríguez (eds) (2021)
Authors: Miller Gabrielle 
Published: August 2022

Review of: Envejecimientos y cines ibéricos, Barbara Zecchi, Raquel Medina, Cristina Moreiras-Menor and María Pilar Rodríguez (eds) (2021)
Valencia: Tirant Humanidades, 565 pp.,
ISBN 978-8-41880-220-1, p/bk, €37.91, e-book, €24.00
“Acoustic wallpaper” under control – the case of musique d’ameublement and Muzak
Authors: Makomaska Sylwia 
Published: August 2022

Attention is one of the most important cognitive processes. Its functioning and key characteristics play a vital role in the perception of music, especially in everyday situations when music becomes an acoustical background. Thanks to selectiveness, shift and division of attention, the listener can balance between an active and a passive act of listening, however, the results of auditory perception may be difficult to determine.
Can the sender, in the process of musical communication, manage the listener’s attention in such a way as to achieve the effect of “acoustic wallpaper” understood as a perception-based effect of background music, where music, in line with the sender’s intentions, is located in the peripheral zone of the listener’s attention, within extensive attention? What function, from the perspective of the sender, is performed by “acoustic wallpaper”? Is it a target result or a mechanism leading to cer- tain reactions in an indirect way? What factors play a decisive role for the efficiency of an adopted strategy?
The main aim of this article is to answer the above questions by the analysis of two exemplary concepts of background music (musique d’ameublement by Erik Satie and Muzak) through the prism of the author’s theoretical model of “acoustic wallpaper” (Makomaska, 2021). This novel ap- proach derives from the psychologically-based reciprocal feedback model of musical response (hargreaves, et al., 2005) and socio-musicological studies on pragmatic forms of musical communication (brown, 2006). It assumes that the effectiveness of “acoustic wallpaper” being under control of the sender (the composer or a professional company) is conditioned by correlations between structural characteristics of music, the listener, and historical-social context. The analysis shows that the intended functions of background music (seen from the perspective of the sender) can differ from the real ones and in the case of particular concepts can be moderated by various groups of factors. The results provoke further discussion on the application potential of the proposed model in psychologically, historically and/or marketing-oriented studies on such concepts as e.g. ambient music and contemporary audiomarketing strategies implemented in commercial environments, where music located on the periphery of the listener’s attention can become an effective tool of mani- pulation.
On Cauchy problem for fractional parabolic-elliptic Keller-Segel model
Authors: Nguyen Anh Tuan , Tuan Nguyen Huy , Yang Chao 
Published: August 2022

Abstract
In this paper, we concern about a modified version of the Keller-Segel model. The Keller-Segel is a system of partial differential equations used for modeling Chemotaxis in which chemical substances impact the movement of mobile species. For considering memory effects on the model, we replace the classical derivative with respect to time variable by the time-fractional derivative in the sense of Caputo. From this modification, we focus on the well-posedness of the Cauchy problem associated with such the model. Precisely, when the spatial variable is considered in the space

R

d

{{\mathbb{R}}}^{d}

, a global solution is obtained in a critical homogeneous Besov space with the assumption that the initial datum is sufficiently small. For the bounded domain case, by using a discrete spectrum of the Neumann Laplace operator, we provide the existence and uniqueness of a mild solution in Hilbert scale spaces. Moreover, the blowup behavior is also studied. To overcome the challenges of the problem and obtain all the aforementioned results, we use the Banach fixed point theorem, some special functions like the Mainardi function and the Mittag-Leffler function, as well as their properties.
Mechanical properties and thermal analysis of graphene nanoplatelets reinforced polyimine composites
Authors: Zhang Si , Xiong Zhengjin , Zhang Jian , Zhang Xueting , Chen Yuhang , Chen Yun 
Published: August 2022

Abstract
The polymer with imine bonds (C═N) synthesized by condensation of aldehydes and amines was called polyimine. Graphene nanoplatelets (GNPs) were blended into polyimine by imine dynamic chemistry, and GNPs/polyimine (GNPs-P) composites were fabricated by heat-pressing. A series of thermal and mechanical properties have been tested for the matrix and GNPs-P composites. Thermogravimetric analyzer showed that the GNPs were able to improve the thermal stability of the GNPs-P composites. From the test of mechanical properties, GNPs-P composite with 0.5 wt% GNPs was superior to the matrix in bending and tensile properties. The bending and tensile strengths were 92.65 and 73.05 MPa, with an improvement of 18% and 5%. GNPs-P composites with 1 wt% GNPs showed the most significant advancement in impact properties, reaching an impact strength of 11.745 kJ·m−2 with a gain of 21.6%. Cross-sectional observations using scanning electron microscope proved that the GNPs-P composites have brittle fractures. A small number of GNPs could synergize with the matrix by bridging the cracks, creating a crack diffusion resistance and a load transfer reinforcement effect, which improved the mechanical properties of the GNPs-P composites.
Design of metaheuristic rough set-based feature selection and rule-based medical data classification model on MapReduce framework
Authors: Bhukya Hanumanthu , Manchala Sadanandam 
Published: August 2022

AbstractRecently, big data analytics have gained significant attention in healthcare industry due to generation of massive quantities of data in various forms such as electronic health records, sensors, medical imaging, and pharmaceutical details. However, the data gathered from various sources are intrinsically uncertain owing to noise, incompleteness, and inconsistency. The analysis of such huge data necessitates advanced analytical techniques using machine learning and computational intelligence for effective decision making. To handle data uncertainty in healthcare sector, this article presents a novel metaheuristic rough set-based feature selection with rule-based medical data classification (MRSFS-RMDC) technique on MapReduce framework. The proposed MRSFS-RMDC technique designs a butterfly optimization algorithm for minimal rough set selection. In addition, Hadoop MapReduce is applied to process massive quantity of data. Moreover, a rule-based classification approach named Repeated Incremental Pruning for Error Reduction (RIPPER) is used with the inclusion of a set of conditional rules. The RIPPER will scale in a linear way with the number of training records utilized and is suitable to build models with data uncertainty. The proposed MRSFS-RMDC technique is validated using benchmark dataset and the results are inspected under varying aspects. The experimental results highlighted the supremacy of the MRSFS-RMDC technique over the recent state of art methods in terms of different performance measures. The proposed methodology has achieved a higherF-score of 96.49%.
Knowledge and attitudes of pregnant women on maternal immunization against COVID-19 in Croatia
Authors: Tatarević Tina , Tkalčec Iva , Stranić Dorian , Tešović Goran , Matijević Ratko 
Published: August 2022

Abstract

Objectives
The aim of this study was to assess pregnant women’s knowledge and attitudes regarding maternal COVID-19 immunization during pregnancy.

Methods
A cross-sectional study was performed in two teaching hospitals between May and October 2021 in Zagreb, Croatia. During antenatal clinic visit pregnant women were approached and asked to fill out a predesigned questionnaire about their knowledge and attitudes towards COVID-19 vaccination. Collected data was later analyzed.

Results
A total of 430 women participated in the study. Only 16% of women expressed their willingness to be vaccinated against COVID-19 if offered, despite that 71% of them believe that COVID-19 might be a serious illness in pregnant women. The most important obstacle in having better acceptance of the vaccines is in the assumption that the vaccines are not safe for pregnant women (73%) or the fetus (75%), or that the vaccines are not effective (41%). The relationship exists between acceptance of vaccination in general and willingness to get other vaccines in pregnancy and readiness to be vaccinated against COVID-19 in pregnancy. Only one out of 55 women who were not adherent to the current vaccination recommendations in Croatia would accept the COVID-19 vaccine during pregnancy if offered. 21 (5%) women stated that vaccination against influenza and pertussis during pregnancy is necessary and 13 (62%) of them would get vaccinated against COVID-19 if offered.

Conclusions
This study showed that the crucial reasons for refusing vaccination against COVID-19 among pregnant women in Croatia are the concerns about the vaccines’ effectiveness and safety. All healthcare providers should put more effort into education of pregnant women on risks of COVID-19, as well as on the benefits and safety of the vaccines.
Disinformation and Its Negative Impact in the Changing World of Mass Media (Specifically Focused on the COVID-19 Pandemic in the Czech Republic)
Authors: Kopecký Kamil , Voráč Dominik , Mikulcová Klára , Krejčí Veronika , García Gerardo Gómez 
Published: August 2022

Abstract
Disinformation in the online world has been recently spreading across the world, especially in relation to major global issues (the COVID-19 pandemic, migration, vaccination, elections, etc.) The recent COVID-19 pandemic has been accompanied by disinformation, affecting the lives of millions across the world. In this text, we are trying to describe which COVID-19 related disinformation have spread intensively within the Czech Republic in the Czech language, what they are focused on and which ones are most frequently encountered among the population.
Transition metal complexes with strong and long-lived excited state absorption: from molecular design to optical power limiting behavior
Authors: Su Huan , Hu Lai , Zhu Senqiang , Lu Jiapeng , Hu Jinyang , Liu Rui , Zhu Hongjun 
Published: August 2022

Abstract
Transition metal complexes (TMCs) with strong and long-lived excited state absorption (ESA) usually exhibit high-performance optical power limiting (OPL) response. Several techniques, such as transmission vs. incident fluence curves and Z-scan have been widely used to assess the OPL performance of typical TMCs. The OPL performance of TMCs is highly molecular structure-dependent. Special emphasis is placed on the structure-OPL response relationships of Pt(II), Ir(III), Ru(II), and other metal complexes. This review concludes with perspectives on the current status of OPL field, as well as opportunities that lie just beyond its frontier.
Semiotic and asemiotic practices in boxing
Authors: Meyer Christian , Wedelstaedt Ulrich v. 
Published: August 2022

AbstractTracing different kinds of semiotic practices in boxing, in our text we provide a detailed reconstruction of the way athletes and other participants interpret each other’s actions and integrate these interpretations in their own course of motor action. Drawing on an ethnomethodological approach we argue that these interpretations should not be seen as being isolated from their contextual background. This context (such as the rules of the sports) and the semiotic actions taking place within them mutually elaborate one another. Analyzing several video recordings and their transcripts, we show how the social interaction of boxing fights consists of a “multi-layeredness of semiotic practice.” These layers of semiotic practice are complemented by what we introduce as asemiotic practices. Asemiotic practices exploit semiotic routines that are a part of boxing and attempt at weakening and overcoming the opponent during the fight thus eventually destroying his or her semiotic capacities.