bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring the Social, Behavioral, and Academic Effects of Classroom Pets on Third and Fourth-Grade Students
Authors: McCullough Amy , Ruehrdanz Ashleigh , Garthe Rachel , Hellman Cynthia , O’Haire Marguerite 
Published: October 2022

Abstract
Limited research has documented the benefits of animals for children’s learning and development, with a growing number of elementary school teachers incorporating pets into their classrooms. This study assessed the social, behavioral, and academic effects of the presence of small, resident classroom animals for third and fourth-grade students across the United States. A total of 591 students from 41 classrooms (pet cohort = 20; no pet cohort = 21) and 19 schools participated. Classroom animals included guinea pigs, fish, lizards, hamsters, toad, gerbil, turtle, and tortoise. Data were collected at three designated time points over one academic year: T1 = one month into the school year (pre-pet introduction); T2 = 12 weeks post-pet introduction; T3 = just prior to school year end (approximately 28- to 30 weeks post-pet introduction). Teachers and parents completed the Social Skills Improvement System Rating Scales (SSIS) and the Social Competence Inventory (SCI), and students completed the SSIS only. At T2 and T3, teachers in the pet cohort were surveyed also on how the pet was incorporated into their classroom over the previous three-month period. Overall findings suggest that there is a lack of agreement between reporters. Teachers reported significantly greater increases in social skills (p < .05), social competence (p < .05), and academic reading competence (p = .02), as well as significantly greater reductions in internalizing (p = .02) and hyperactivity/inattention behaviors (p = .01), among students in the intervention cohort as compared to those without a classroom pet. Intervention cohort parents reported significantly greater increases in prosocial behaviors (p < .05). There were no significant differences between cohorts found via student reports. These findings suggest that pets in the classroom may significantly benefit third and fourth-grade students’ social, behavioral, and academic development. However, the lack of consistent findings across groups indicates the need for further examination of these types of programs and their potential impact on students.
Assessing the Impact of Animal-Assisted Occupational Therapy on Attention in Preschoolers
Authors: Winsor Katrina , Silverstein Jay , Theodore Lea A. , Naik Arth , Shyman Eric 
Published: October 2022

Abstract

Animal-assisted therapy (AAT) has become increasingly popular as an adjunct to treatment across a variety of populations and disciplines. However, minimal empirical documentation for AAT exists in the literature. The purpose of this project was to assess the efficacy of animal-assisted occupational therapy (AAOT) on attention in preschoolers. We hypothesized that the presence of a specially trained canine in the treatment room would increase attention to therapist-directed activities during a table-based occupational therapy activity. A total of 12 preschool-aged children participated in this study during regularly-scheduled occupational therapy sessions. Data were collected based on the percentage of time the student was off-task during the activity. Results demonstrated statistical significance, with the children significantly less off-task on average when a dog was present during instruction than when a dog was not present
(t
(11)
= 2.89,
p
= .015). This study provides additional research to support the efficacy of AAT with a focus on the preschool population, which is an area that is underrepresented in published literature.
An open-source data acquisition system for laboratory and industrial scale applications
Authors: Niehaus Konstantin , Westhoff Andreas 
Published: October 2022

Abstract
Portability, ease of use, robustness, and system cost are important parameters in designing flexible measurement systems. To this end, we introduce a cost-efficient and open-source measurement system based on consumer hardware for measuring air properties such as temperature, humidity, particle concentration in order to determine indoor air quality, thermal comfort, or air pollution. Cost and energy efficient sensor modules are integrated into an USB-based measurement interface that supports a wide range of communication protocols including Serial Peripheral Interface, Inter Integrated Circuit, Recommended Standard 232 and Recommended Standard 485. Moreover, the system provides a web interface and an application programming-interface that enables real time access to sensor data. In this paper we present the design of the hardware set-up, an overview of the sensors supported so far, and the software architecture as well as application examples.
Poisson brackets in Sobolev spaces: a mock holonomy-flux algebra
Authors: Fernando Barbero G J , Basquens Marc , Díaz Bogar , Villaseñor Eduardo J S 
Published: October 2022

Abstract
The purpose of this paper is to discuss a number of issues that crop up in the computation of Poisson brackets in field theories. This is specially important for the canonical approaches to quantization and, in particular, for loop quantum gravity. We illustrate the main points by working out several examples. Due attention is paid to relevant analytic issues that are unavoidable in order to properly understand how computations should be carried out. Although the functional spaces that we use throughout the paper will likely have to be modified in order to deal with specific physical theories such as general relativity, many of the points that we will raise will also be relevant in that context. The specific example of the mock holonomy-flux algebra will be considered in some detail and used to draw some conclusions regarding the loop quantum gravity formalism.
Peculiarities of resonant interactions of lump chains within the KP1 equation
Authors: Zhang Zhao , Li Biao , Chen Junchao , Guo Qi , Stepanyants Yury 
Published: October 2022

Abstract
Using the Hirota bilinear method, we derive resonant solutions to the KP1 equation. Solutions describe lump chains differently oriented in (x, y)-plane. We show that resonant solutions arise as the limiting case of more general non-resonant solutions when phase shifts of lump chains caused by their interaction become infinite. Resonant solutions can describe both stationary patterns (for example, Y-shaped patterns consisting of three different lump chains) and non-stationary interacting parallel lump chains. In the latter case, a lump chain can be emitted/absorbed by another lump chain. As the number of lump chains increases, resonance phenomena become more complex and diversified including the cases of exchange of a lump chain by two other lump chains. The method used in this paper can be extended to apply to other integrable systems in two and three spatial dimensions such as, for example, described by Mel’nikov’s equations.
An updated view and perspectives on high-energy gamma-ray emission
from SGR J1935+2154 and its environment
Authors: Coelho Jaziel G. , Padilha Luana N. , dos Anjos Rita C. , Ventura Cynthia V. , Carvalho Geanderson A. 
Published: October 2022

Abstract
SGR J1935+2154 was discovered in 2016 and is currently one of the most burst-active Soft Gamma-ray Repeaters (SGR), having emitted many X-ray bursts in recent years. In one of our previous articles, we investigated the contribution to high-energy and very high-energy gamma-ray emission (VHE, E > 100 GeV) due to cosmic-ray acceleration of SNR G57.2+0.8 hosting SGR J1935+2154 using the GALPROP propagation code. However, follow-up observations of SGR 1935+2154 were made for 2 hours on April 28, 2020, using the High Energy Stereoscopic System (H.E.S.S.). The observations coincide with X-ray bursts detected by INTEGRAL and Fermi/Gamma-ray Burst Monitor (GBM). These are the first high-energy gamma-ray observations of an SGR in a flaring state, and upper limits on sustained and transient emission have been derived. Now that new H.E.S.S. observations have been made, it is interesting to update our model with respect to these new upper limits. We extend our previous results to a more general situation using the new version of GALPROP. We obtain a hadronic model that confirms the results discussed by H.E.S.S. . This leads to an optimistic prospect that cosmic ray gamma rays from SGR J1935+2154 can contribute to the overall gamma energy density distribution and in particular to the diffusion gamma rays from the Galactic center.
GIFT: new method for the genetic analysis of small gene effects involving small sample sizes
Authors: Rauch Cyril , Kyratzi Panagiota , Blott Sarah , Bray Sian , Wattis Jonathan 
Published: October 2022

Abstract
Small gene effects involved in complex/omnigenic traits remain costly to analyse using current genome-wide association studies (GWAS) because of the number of individuals required to return meaningful association(s), a.k.a. study power. Inspired by field theory in physics, we provide a different method called genomic informational field theory (GIFT). In contrast to GWAS, GIFT assumes that the phenotype is measured precisely enough and/or the number of individuals in the population is too small to permit the creation of categories. To extract information, GIFT uses the information contained in the cumulative sums difference of gene microstates between two configurations: (i) when the individuals are taken at random without information on phenotype values, and (ii) when individuals are ranked as a function of their phenotypic value. The difference in the cumulative sum is then attributed to the emergence of phenotypic fields. We demonstrate that GIFT recovers GWAS, that is, Fisher’s theory, when the phenotypic fields are linear (first order). However, unlike GWAS, GIFT demonstrates how the variance of microstate distribution density functions can also be involved in genotype–phenotype associations when the phenotypic fields are quadratic (second order). Using genotype–phenotype simulations based on Fisher’s theory as a toy model, we illustrate the application of the method with a small sample size of 1000 individuals.
Exploring the Accretion Disk Structure and X-ray Radiation of GX 17+2 Based on kHz QPOs and Cross-correlations
Authors: Wang De-Hua , Zhang Cheng-Min , Lei Ya-Juan 
Published: October 2022

Abstract
Applying the timing tools of kilohertz quasi-periodic oscillations (kHz QPOs) and cross-correlations, we study the influence of the magnetosphere-disk relation on the X-ray radiation process of GX 17+2. First, as the spectral state track of X-ray emission evolves along the horizontal branch (HB), the magnetosphere-disk radii of the source derived by kHz QPOs shrink from r ∼ 24 km to r ∼ 18 km, while its average X-ray intensities in ≤10 keV and in ≥10 keV show the opposite evolutional trends. Moreover, this branch has been detected with the anti-correlations between the low-/high-energy (e.g., 2–5 keV/16–30 keV) X-rays. We suggest that in HB there may exist an X-ray radiation transfer process at the disk radii near the neutron star (NS), i.e., ∼5–10 km away from the surface, which probably originates from the interaction between the corona or jet with high-energy X-rays and accretion disk with low-energy X-rays. Second, as the source evolves along the normal branch (NB) and along the flaring branch (FB), their average X-ray intensities in all ∼2–30 keV show the monotonously decreasing and monotonously increasing trends, respectively. In addition, these two branches are both dominated by the positive correlations between the low- and high-energy (e.g., 2–5 keV/16–30 keV) X-rays. Moreover, the evolution along NB is accompanied by the shrinking of the magnetosphere-disk radii from r ∼ 18 km to r ∼ 16 km. We ascribe these phenomena to that as the shrinking of the accretion disk radius, the piled up accretion matter around the NS surface may trigger the radiation that produces both the low- and high-energy X-rays simultaneously, and then form the branches of NB and FB.
Predicting the long-term after-effects of rTMS in autism spectrum disorder using temporal variability analysis of scalp EEG
Authors: Jiang Lin , He Runyang , Li Yuqin , Yi Chanlin , Peng Yueheng , Yao Dezhong , Wang Yuping , Li Fali , Xu Peng , Yang Yingxue 
Published: October 2022

Abstract

Objective. Repetitive transcranial magnetic stimulation (rTMS) emerges as a useful therapy for autism spectrum disorder (ASD) clinically. Whereas the mechanisms of action of rTMS on ASD are not fully understood, and no biomarkers until now are available to reliably predict the follow-up rTMS efficacy in clinical practice. Approach. In the current work, the temporal variability was investigated in resting-state electroencephalogram of ASD patients, and the nonlinear complexity of related time-varying networks was accordingly evaluated by fuzzy entropy. Main results. The results showed the hyper-variability in the resting-state networks of ASD patients, while three week rTMS treatment alleviates the hyper fluctuations occurring in the frontal-parietal and frontal-occipital connectivity and further contributes to the ameliorative ASD symptoms. In addition, the changes in variability network properties are closely correlated with clinical scores, which further serve as potential predictors to reliably track the long-term rTMS efficacy for ASD. Significance. The findings consistently demonstrated that the temporal variability of time-varying networks of ASD patients could be modulated by rTMS, and related variability properties also help predict follow-up rTMS efficacy, which provides the potential for formulating individualized treatment strategies for ASD (ChiCTR2000033586).
Research on energy hub configuration optimization problem based on analytic hierarchy and grey correlation analysis
Authors: Xin Changqing , Xu Jian 
Published: October 2022

Abstract
For the energy hub system configuration, there are problems such as high operation and maintenance costs, poor system safety, low efficiency of renewable energy utilization and large pollution emissions. This paper proposes an energy hub configuration optimization method based on analytic hierarchy and grey correlation analysis. First, configure the energy hub model. Second, establish a configuration optimization model that includes operation and maintenance costs, installation costs, renewable energy utilization efficiency, system failure rate and environmental protection. Finally, through the hierarchical decomposition and gray correlation analysis and the use of Matlab soft pair model calculation, the effectiveness of the algorithm is proved, and the simulation results show that the proposed algorithm can improve the consumption performance of renewable energy, enhance the safety of the system, and make the system run economically.
Research on frosting detection method of air source Heat pump based on vision Technology
Authors: Yuan Kaiyi , Chen Jingyu , Liu Yijun , Lao Junming 
Published: October 2022

Abstract
The outdoor pipe coil frosting of air source heat pump seriously affects the working efficiency of the equipment. Therefore, a new frost detection algorithm is proposed to optimize the defrosting process. First of all, the image difference algorithm is introduced to remove the interference factors in the image. Then, the brightness correction and denoising of the image are carried out. Finally, combined with image processing algorithms such as contour detection and Otsu multi-threshold segmentation to achieve regional frosting detection, the efficiency and accuracy of frosting detection are further improved. The experimental results show that, compared with the existing methods, the proposed algorithm not only improves the accuracy of frost detection, but also has better treatment effect on light changes and regional frost. Finally, the detection algorithm is added to the defrosting process. Experimental results show that the effect of intelligent defrosting is better than that of current defrosting strategies.
Optimizing dry land through the implementation of maize and rice multiple cropping system in Pemalang Regency
Authors: Arianti F D , Samijan  , Minarsih S , Nurwahyuni E 
Published: October 2022

Abstract
Maize is one of the food crops as the second staple food after rice in Indonesia. Efforts that can be done are not only to increase maize production but also increases the cropping index as through intercropping in dry-land. This study aims to determine the production of maize intercropped with rice. The research was carried out on the farmer’s-land at Planting Season (PS-2) on April-October 2019 in Pemalang. The maize variety planted were farmers existing varieties Bisi-18 and introduced variety (Nasa-29 varieties). The rice varieties planted are Inpari-42 and Inpago-10. Corn spacing (120x30x20 cm) and rice spacing (20x20 cm). The study used a randomized block design with 4 treatments (was repeated 6 times). The results showed that the intercropping system affected the yield of maize productivity and rice. The highest maize production (5.96 t ha−1) was obtained for intercropping maize (Bisi-18) and rice (Inpago-10) while for the highest rice production (1.76 t ha−1) was intercropping Bisi-18 with Inpari-42. The intercropping of maize and upland rice with a population of maize (81%) and a population of rice (62%) with a total of both 143%, and can increase the cropping index (CI) by 100-143% compared to the existing zero planting of PS-2.
Current Status and Prospect of Halotolerant Biofilm PGPR (Plant Growth Promoting Rhizobacteria) as Bioagent to Increase Crops Growth on Saline Soils
Authors: Daulay Fathin Rasima , Simarmata Tualar 
Published: October 2022

AbstractIntensive crops farrmings Indonesia is higly depend on inorganic fertilizers and other agrochemical product that contribute to acceleration of land and environment degradation. Effort to alleviate the problems can be done by adopting the agro ecological agriculture approach that relies on environmentally friendly biofertilzers. This article is aimed to inventarize, review the current status and to promote the prospect of biofilm biofertilizer (BB) for improving the soil health and increasing the productivity of crops under salin Ecosystem. The research method was done by tracking, collecting and analyzing the secondary data from international journal and other reputable references. The reviewed results revealed that BB was introduced in and now is gaining more attention internationally. The beneficial microbes of BB are belong to group of bacteria, actinomycetes and fungi. The application of BB has shown the prospective in increasing the fertilizers efficiency and crops productivity on different agricultural soils. The growth of the crops were increased by root length by 57% and significant increases in dry biomass in roots, shoots, and spike by 92.3%, 40.7%, and 69.2 %. This study concludes that BB is highly prospective as a new era of biofertilizers for increasing the crops growth under saline soils.
Development of Sound Absorbing Recycled Nonwoven Composite Materials
Authors: Sakthivel S. , Senthil Kumar S. , Mekala N. , Dhanapriya G. 
Published: October 2022

AbstractThe Sound absorbent textile materials, especially nonwoven composite structure of reclaimed materials which have low manufacturing costs, low relative density and are more attractive. In this research the use of reclaimed cotton and polyester fiber for production of sound absorption nonwoven composite materials has been investigated. Three different blend ratios of reclaimed cotton and polyester fibers that is 25:75, 40:60 and 50:50 have been used. The reclaimed cotton and polyester nonwoven composites are specified for their physical properties, such as thickness, areal density, bulk density, porosity and sound absorption characteristics in the frequency range of 250HZ-2KHZ. The values of the sound absorption coefficient and noise reduction coefficient acquired signifies that the reclaimed polyester fiber nonwoven composite holds excellent sound absorption behavior in the entire frequency range. Before compressed reclaimed cotton/polyester nonwoven composite of 25:75 blend ratios with greater bulk density and lower porosity is seen to give excellent performance while using the provided air gap behind the reclaimed cotton/polyester nonwoven composites.
Evaluation of solar tracking systems applied to small-scale photovoltaic systems: a review
Authors: Tarazona-Romero B E , Carreño-Rodriguez J S , Quintero-Ruiz A D , Sandoval-Rodriguez C L , Lenguerke-Péreza O 
Published: October 2022

Abstract
This work evaluates solar tracking systems in application to small-scale photovoltaic systems. To do this, these systems are divided into two subsystems: one-axis solar tracking subsystem and two-axis solar tracking subsystem. Each is explored for its suitability as a suitable technology for small-scale application, defined by meeting a set of seven attributes. A specialized literature review process was developed specifically to present the potential of each subsystem evaluated, through an evaluation matrix. The analysis of solar tracking technologies and attributes was carried out through the formal concept analysis methodology. To facilitate the processing of information, a free access tool called concept Explorer is used. The analysis carried out shows that two-axis solar tracking systems are the most promising option as they meet a greater number of attributes than single-axis tracking systems. The applied methodology has proven to be useful for the evaluation of renewable technologies 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.
Incident factors in the quality of cocoa almonds obtained in small agricultural production units
Authors: Grimaldo-Pretel E. L. , Guerrero-Navarro M. A. , Vidal-Tovar C.R. , Gordon-Hernández Y. , Fragoso-Castilla P. J. 
Published: October 2022

Abstract
Cocoa is an American tree of Amazonian origin, also known as cacaotero, since by cocoa it usually refers to the fruit that gives said tree. The proposed research is developed on the emerging paradigm, for which a dialectical synthesis is assumed from the use of qualitative and quantitative methods in a complementary way. Not limited to the forms and sources of information the collection of information, and the analysis of results, for which we take as a reference the contribution from the experience of Cocoa Producers and Experts in the production and marketing of cocoa, as a fundamental part of the construction of knowledge, and grant the same level of importance to the information obtained from multiple sources of information obtained in the year 2020. For the collection of information, the instruments are applied in three phases: the first consists of field visits to interview 5 cocoa producers and 5 experts in cocoa marketing. The second, search and systematization of documents and the third phase is a comparative analysis of the sources of information mentioned above. For the establishment of cocoa cultivation and to obtain adequate productions, aspects of great relevance must be taken into account, such as critical climatic factors such as temperature and rain. The layout and density of the agroforestry system. This activity aims to make a defined and organized distribution within the lot of each of the plant species that are going to be planted, seeking a better use of the soil. It was verified the effort made by small producers to integrate in the management of their cocoa crops, the processes, harvesting and post-harvest activities that are carried out to obtain dried cocoa almonds for marketing.