bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing Children’s Ability to Recognize Animal Emotions – What Does It Take? A Study at the Zoo
Authors: Rocha Sílvia , Gaspar Augusta , Esteves Francisco 
Published: October 2022

Abstract
Several factors are known to affect children’s identification of human emotions, but information is virtually inexistent regarding how they develop their ability to identify animal emotions. I this study we approached factors likely to influence children’s identification of animal emotions in zoos settings, such as age, variables related to information and experience with animals, the quality of animal facilities and children’s sensitivity to the animals’ captive environments. Semi-structured interviews were conducted in 2 European zoos with 164 children (ages 3-13yrs old) in front of chimpanzee, gorilla and orangutan facilities during emotional events. Questions included information on pet ownership, zoo visits and multiple other forms of contact with animals. A coding scheme was created following content analysis and answers were coded for emotion identification, exposure/information, environmental awareness, setting and demographic variables. Most children correctly identified emotion events (87,2%). Following the inspection of the distribution of the various types of relevant experience, and of the correlations between possible predictors and accurate emotion identification, we tested a regression model with age, pet ownership and visiting animal sanctuaries as predictors. The model explained 41, 6% of variance and confirmed that all three variables made a significant contribution to accurate emotion identification. These results suggest that children’s identification of animal emotions might be influenced by maturation and relevant informative experience - features that are common to the identification of human emotions. We discuss further ways to explore the roles of information and of developing processes that may play a role in the identification of animal emotions.
Attachment to Dogs and Cats in Germany: Translation of the Lexington Attachment to Pets Scale (LAPS) and Description of the Pet Owning Population in Germany
Authors: Hielscher Benedikt , Gansloßer Udo , Froboese Ingo 
Published: October 2022

Abstract

Introduction:
Attachment to pets has been shown to impact pet owners’ (PO) physical health and quality of life. As no instrument for obtaining this kind of data currently exists in German, translating and validating the Lexington Attachment to Pets Scale (LAPS) was the aim of this study.
Method:
Online and paper-pencil questionnaires were used. LAPS and socio-demo-graphic data were recorded. Subjects were recruited via social media and with the help of the Verband für das deutsche Hundewesen (VDH) and one other association. A second trial was performed to examine test-retest reliability for the online questionnaire at least five days after initial completion.
Results:
Internal consistency is high for the total LAPS score (Cronbach’s □ = .89). Test-retest reliability is high for total LAPS score (ICC = .95; 95 % CI = .94, .96; p < .001). A significant negative correlation was found between age of the subject and total LAPS score (r = -.24, p < .001). Women scored significantly higher than men in total LAPS score (p = .008, d = -.36) and dog owners (DO) scored higher than cat owners (CO) (p = .020, d = .23). Further, significant differences have been found when comparing among PO to their level of educational attainment (

p
<

.001
,

ω
=
.21

). No significant differences between owners of purebred and owners of mixed breed pets to their animals were found.
Conclusion:
The German translation of the LAPS is a reliable instrument and can be used for future research.
Behaving with Respect to Dogs: Children’s Mastered Dog-Safety Skills May Not Generalize Naturalistically
Authors: Yankelevitz Rachelle L. , Williams April Michele , Knerr Alexandra W. , Sheppard Christina 
Published: October 2022

Abstract

Dog bites are a common danger to children. Behavioral safety training strategies are more effective than nonbehavioral strategies, but questions remain about whether learned responses generalize to new dogs and settings. Three preschool-aged girls who exhibited unsafe dog-greeting behavior during in situ assessments were taught to safely greet unfamiliar, leashed dogs using TAGteach™ (
TAGteach International, 2016
). The children acquired the six-step behavior chain, but responding did not generalize to a novel dog, handler, and setting even after completing the training three times in progressively more-naturalistic settings. These results suggest a need to investigate effective strategies for teaching safety skills around dogs. They also question whether dog-safety training via online modules, classroom-based instruction, or video modeling is sufficient to improve young children’s behavior around dogs in natural settings.
Cat-human related activities associated with human well-being
Authors: Ravenscroft Samantha J. , Barcelos Ana Maria , Mills Daniel S. 
Published: October 2022

Abstract
Besides inconsistent evidence relating to the mental health benefits of pet ownership, there is a specific lack of data in relation to cat ownership. Research in this field frequently fails to consider the effect of specific cat-human relationships or activities that might impact owner well-being. This study aimed to identify and address this gap by examining the activities associated with owning a cat that were perceived by owners to impact on their well-being. Twenty cat owners (18 to 74 years old) were interviewed remotely, and their audio transcripts thematically analysed. 67 activities were reported by cat owners to cause changes in their hedonic or eudaimonic well-being or life satisfaction. Most activities were reported to improve well-being, for example, “providing for the cat” increased feelings of enjoyment and enhanced owner’s reported purpose in life. However, some activities were predominantly associated with negative outcomes, such as veterinary visits and cat behaviour problems. This study presents an operationally-defined framework that lays the groundwork for further research in the field of human-cat interaction and human well-being. It highlights the importance of focusing on specific activities associated with cat ownership, rather than just assessing “ownership” per se, as if it is a homogenous phenomenon.
Working Out with F.I.D.O. (Frequency, Intensity, Duration, & Outcomes): A Feasibility Randomized Controlled Trial
Authors: Lim Clarise , Higgins Joan Wharf , Rhodes Ryan E. 
Published: October 2022

Abstract

Objective:

Dog owners walk more per week compared to non-dog owners; however, 60% of dog owners are still not walking their dogs at intensities sufficient to reap optimal health benefits. The aim of this study was to evaluate the feasibility, acceptability, and efficacy of a 9-week randomized controlled trial involving a program of six weekly scheduled instructor-led group dog walks supplemented with theory-based strategies to encourage increased dog walking among dog owners in Greater Victoria, BC.

Methods:

Participants were 17 adults aged 18+, who owned at least one healthy and friendly dog aged six months+, who were not meeting recommended moderate-to-vigorous physical activity (MVPA) guidelines. Data were collected using pedometers, self-report measures, and a program evaluation survey.

Results:

Feasibility outcomes included 74 interested responses, 23% recruitment rate (
n
= 17), 94% retention rate (
n
= 16), and 94% adherence rate (
n
= 15). Program participants were overall (very) satisfied with the program.
Total weekly step counts
and
average daily step counts, MVPA dog walking,
and
MVPA with dog
(i.e., all leisure time
physical activity with dog -
e.g., hiking, swimming, biking, playing Frisbee) increased at the end of the program and at follow-up, resulting in large effect sizes when compared to the waitlist-control group.

Conclusions:

This six-week group dog walking program was feasible, acceptable, and efficacious in encouraging increased dog walking and MVPA among dog owners. It is recommended for future studies to refine initial recruitment strategies, reimburse medical/veterinarian clearance costs to reduce cost-related barriers to participation, and offer a variety of options for program delivery (e.g., different locations/schedules/seasons, online programs, multi-site study) to accommodate more participants.
Infinite dimensionality of the post-processing order of measurements on a general state space
Authors: Kuramochi Yui 
Published: October 2022

AbstractFor a partially ordered set (S, ⪯), the order (monotone) dimension is the minimum cardinality of total orders (respectively, real-valued order monotone functions) onSthat characterize the order ⪯. In this paper we consider an arbitrary generalized probabilistic theory and the set of finite-outcome measurements on it, which can be described by effect-valued measures, equipped with the classical post-processing orders. We prove that the order and order monotone dimensions of the post-processing order are (countably) infinite if the state space is not a singleton (and is separable in the norm topology). This result gives a negative answer to the open question for quantum measurements posed in (Guffet al2021J. Phys. A: Math. Theor.54225301). We also consider the quantum post-processing relation of channels with a fixed input quantum system described by a separable Hilbert spaceHand show that the order (monotone) dimension is countably infinite whendimH⩾2.
Optimization of Nano Capacitive Pressure Sensor for Medical Applications
Authors: Balavalad Kirankumar B. , Balavalad PraveenKumar B. , Pidashetti Somanath 
Published: October 2022

Abstract
Nano/NEMS sensors have emerged from MEMS technology. Nano sensors have got lot of applications in medical and health care applications. Nano sensors have lot of attributes which make them very unique and special, such as: small size, low mass, high sensitivity and low cost of production. In this paper we present optimization of nano capacitive pressure sensor dimensions for medical applications. Capacitive pressure sensors are well suited for low pressure sensing applications. Typically, in medical field involve low pressure levels ranging from few Pascals to kilo Pascals. DoE is used for the optimization of sensor dimensions. The sensor is optimized to operate over the pressure range up to 100 kPa. Over this pressure range the sensor dimensions are optimized to get better response in terms of capacitance. The proposed optimization illustrates the dimensions best suited for the design of nano capacitive pressure sensor for operational range up to 100 kPa.
Use of augmented reality technologies in the framework of m-Learning at the Infantery Museum Marine Park
Authors: Oñate F. , Vergara E. , Morales A. , Sanchez S. , Barreto J. 
Published: October 2022

Abstract
The research proposes to design a software to visualize the relevant information of historical military objects through augmented reality technology, contributing to the modernization of the museum, generating a more attractive and autonomous visit for visitors. The research is embodied in two phases. In the requirements phase, data collection instruments were implemented in order to identify the functional and non-functional requirements of the proposed system; In the design phase, the block diagram and flow diagram are modeled to outline the software architecture and illustrate the communication between the different technologies that make up the system. As a result, the structure and characteristics of a model that meets the needs of the Infantery Museum Marine Park was obtained. It is concluded that this model can contribute to the digitization, exhibition and appropriation of the cultural content exhibited in the different scenarios of the Infantery Museum Marine Park in its processes of transmission of knowledge about the various cultural heritages of the museum.
Exergy analysis and development of flat plate solar collectors: A Review
Authors: Rincón-Quintero A D , Del Portillo-Valdés L A , Zanabria-Ortigoza N D , Sandoval-Rodriguez C L , Maradey-Lázaro J G , Castillo-León N Y 
Published: October 2022

Abstract
The exergy comes from the need to find some energy of a system that can be quantified to take advantage of its mechanical, electrical or any other type of work, it is limited in terms of investment of time and research, due to this fact, the need arises to be able to innovate with data collection on the exergy calculation models developed in flat solar collectors. In the present research, a search of the literature regarding the development of exergy in flat plate solar collectors was carried out, to then analyze and determine forty innovative articles in the last six years, which were reflected in a data matrix in the The formulas and factors that define the exergy are presented, as well as the theoretical designs of the collector and working fluids used in flat solar collectors. With the results of the table, a broad panorama of current data is obtained, on the most used in the formulation of exergetic efficiency, which stands out as an essential tool for the design, analysis and optimization of thermal systems.
Performance analysis of PKM 60 peripheral pumps as a consequence of impeller wearing.
Authors: Duran-Sarmiento M A , García-Rodríguez L F , Sandoval-Rodríguez C L , Ascanio-Villabona J G , Lengerke-Pérez O 
Published: October 2022

Abstract
The efficient transformation of energy in pumping systems plays a fundamental role in the industry, these pumping systems represent a significant energy consumption, if the pumps present wear in their impeller, they will significantly decrease their capacity to communicate energy to the fluid, that in other words, the system will require more energy to compensate for this decrease in efficiency, causing an increase in operating costs. This work presents a comparison of the performance of two identical pumps with different impellers, a new impeller and an impeller subjected to wear, which has been emulated by machining the impeller in its radial component. The results show a decrease in the peak net height and power communicated to the fluid of 55% and 63% respectively. The percentages of decrease in the capacity to transfer energy to the fluid obtained in the test are not equivalent to the percentage of diameter reduction, which presented a decrease from 56.5 mm to 59.6 mm, for a percentage of diameter decrease equivalent to 5.2%.
Evaluation of control strategies applied in small-scale photovoltaic solar tracking systems: a review
Authors: Tarazona-Romero B E , Plata-Pineda E J , Sandoval-Rodriguez C L , Ascanio-Villabona J A , Lengerke-Péreza O 
Published: October 2022

Abstract
This work evaluates the control algorithms applied to decentralized photovoltaic solar tracking systems. For this, the control strategies are divided into three: open loop, closed loop and hybrid loop. Each strategy is screened for its suitability as a suitable technology for small-scale applications, defined by meeting a set of eleven attributes. A specialized literature review process was developed specifically to present the potential of each control algorithm strategy, through an evaluation matrix. The analysis of the algorithms and attributes was carried out using the formal methodology of concept analysis. To facilitate the processing of the information, free access software called “concept Explorer” is used. The analysis carried out shows that open loop control algorithms currently have a greater application in one and two-axis solar tracking systems. Additionally, the on-off control is the one with the greatest application for the three types of control loops evaluated. Finally, the applied methodology has proven to be useful for the evaluation of information and serves as a reference, to carry out analyzes that group and link different alternatives as a model for evaluating a deterministic set of attributes.
Effect of build orientation on wear and erosion behavior of maraging steel processed by powder bed fusion using laser beam (PBF-LB)
Authors: Vishwakarma Jaydeep , Chattopadhyay K , Srinivas N C Santhi 
Published: October 2022

Abstract
The wear and erosion behavior of additively manufactured maraging steel with built orientations of 0°, 45° and 90° were investigated and compared with conventional (cast and hot rolled) samples. To investigate the effect of heat treatment, processed samples were subjected to solution treatment and ageing. As-built (AB) and heat-treated (HT) samples were wear-tested at various loads of 20N, 40N and 80N, at constant disc speed and specific sliding distance. Erosion tests were performed at 90° impingement angle for 40 min with erosion discharge rate of 4.5 g min−1, wear rate was found increasing with the increase in load from 20N to 80 N, and was found affected by build orientation, mainly in the as-built additive samples. In both, as built as well heat-treated conditions, 90° oriented samples were found more wear-resistant. However, wear resistance of the heat-treated samples was observed to be relatively higher as compared to that of as-built samples. Coefficient of friction (COF) decreased with increase in load, in both as built as well heat-treated conditions. Erosion resistance of the as-built (AB) and heat-treated (HT) samples in 0° orientation was higher than that of other build orientations. Prior to heat treatment, erosion resistance of the conventional samples was inferior to that of additive samples, due to comparatively coarser microstructure; however, after the heat treatment, erosion resistance was increased. Worn and eroded samples were examined under SEM and AFM. At low load of 20 N, abrasive wear by ploughing and at high load of 80N, adhesive wear was noticed. Erosion occurred mainly by lip formation and plastic deformation.
Prediction of mechanical properties of Mg-rare earth alloys by machine learning
Authors: Lu Jie , Chen Yanghua , Xu Meng , Yingzhang  
Published: October 2022

Abstract
In this work, the quantitative relationship among the composition, processing history and mechanical properties of Magnesium-rare earth alloys was established by machine learning (ML). Based on support vector regression (SVR) algorithm, ML models were established with inputs of 310 sets of data, which can predict ultimate tensile strength (UTS), yield strength (YS) and elongation (EL) with well accuracy. In order to verify the general applicability of our model, new data were collected from the literature, and the ML models was used to predict their mechanical properties respectively. The MAPE of UTS, YS and EL predicted by SVR model are 9%, 12% and 36%, respectively. The reasons for the deviation of the predicted results were also analyzed. The effects of rare earth elements on UTS, YS and EL were analyzed by the SVR models. The established ML model was used to recommend the composition and processing history of new Magnesium-rare earth alloys with high mechanical properties.
Understanding the zigzags of multi-echo phase signals by numerical simulations
Authors: Chen Zikuan , Zhai Xiulan , Chen Zeyuan 
Published: October 2022

Abstract
Understanding the multi-echo phase zigzag signals is instrumental to assuring the quality of MRI phase data acquisition for ensuing phase exploration and exploitation. This paper provides a theoretical and computational mechanism for understanding the zigzag multi-echo phase formation that has been observed in numerical multi-echo gradient-recalled (GRE) simulations of clinical complex-valued brain MRI images. Based on intravoxel dephasing mechanism, we calculated a train of multi-GRE complex-valued voxel signals by simulating field gradient reversals under perturbations in either gradient strength (G±δG) or gradient duration (Δ±δΔ), as well as the simultaneous bi-variable gradient perturbations (δGδΔ). In this theoretical experiment, we observed a zigzag line of one-shot multi-echo phase signals at a voxel with respect to linear stepwise field gradient variations in δG ∝ n and δΔ ∝ n (where n denotes the echo index). However, the multi-echo magnitude signals were invariant to field gradient reversal, i.e. no multi-echo magnitude zigzags. To support our simulations, we analyzed the clinical one-shot multi-echo T2*-weighted MRI phase images and found similar multi-echo phase zigzags. In this way, we provide a theoretical and computational understanding of multi-echo phase zigzag artifacts, specifically for the eddy current effect on one-shot multi-GRE signals in practice.
Longitudinal Career Survey of Entomology Doctoral Graduates Suggests That Females Are Disadvantaged in Entomology Job Market
Authors: Walker Karen A 
Published: October 2022

Abstract
Here, I provide data from a longitudinal survey that suggests that male entomology doctoral graduates are more successful at getting scientific positions than female graduates are. I digitally followed over 800 male and female doctorates graduating between 2001 and 2018 over several years to determine occupational outcomes. Males significantly outnumber females in industry positions, and occupy more academic positions and government jobs than females. Males may get a head start in employment by publishing significantly more scientific papers during their graduate programs than do females, setting them up to be more competitive. Once hired into academia, males appear to continue this publication pattern, obtaining significantly higher H-indices than female academic colleagues later in their careers, which may play a role in being promoted more quickly than females. Males are also favored by institutions at which they previously interned: Males working as postdoctoral scientists in USDA labs end up being hired into significantly more permanent jobs at USDA than females who also were postdocs at USDA. Another important result of the research is the finding that the majority of both genders undergo postdoctoral training, but fewer than 25% of entomology postdocs get academic positions, demonstrating the bleak outlook of the academic job market.
Quantum computing algorithms: getting closer to critical problems in computational biology
Authors: Marchetti Laura , Nifosì Riccardo , Martelli Pier Luigi , Da Pozzo Eleonora , Cappello Valentina , Banterle Francesco , Trincavelli Maria Letizia , Martini Claudia , D’Elia Massimo 
Published: October 2022

AbstractThe recent biotechnological progress has allowed life scientists and physicians to access an unprecedented, massive amount of data at all levels (molecular, supramolecular, cellular and so on) of biological complexity. So far, mostly classical computational efforts have been dedicated to the simulation, prediction or de novo design of biomolecules, in order to improve the understanding of their function or to develop novel therapeutics. At a higher level of complexity, the progress of omics disciplines (genomics, transcriptomics, proteomics and metabolomics) has prompted researchers to develop informatics means to describe and annotate new biomolecules identified with a resolution down to the single cell, but also with a high-throughput speed. Machine learning approaches have been implemented to both the modelling studies and the handling of biomedical data. Quantum computing (QC) approaches hold the promise to resolve, speed up or refine the analysis of a wide range of these computational problems. Here, we review and comment on recently developed QC algorithms for biocomputing, with a particular focus on multi-scale modelling and genomic analyses. Indeed, differently from other computational approaches such as protein structure prediction, these problems have been shown to be adequately mapped onto quantum architectures, the main limit for their immediate use being the number of qubits and decoherence effects in the available quantum machines. Possible advantages over the classical counterparts are highlighted, along with a description of some hybrid classical/quantum approaches, which could be the closest to be realistically applied in biocomputation.