bluuebunny/crossref_metadata_2025 huggingface dataset:
Bringing nature indoors: characterizing the unique contribution of fractal structure and the effects of Euclidean context on perception of fractal patterns
Authors: Robles Kelly E. , Gonzales-Hess Nate , Taylor Richard P. , Sereno Margaret E.
Published: August 2023

Imbuing the benefits of natural design into humanmade spaces, installations of fractal patterns have been employed to shape occupant experience. Previous work has demonstrated consistent trends for fractal judgments in the presence of design elements. The current study identifies the extent to which underlying pattern structure and perceptions of pattern complexity drive viewer judgments, and how response trends are altered with the incorporation of Euclidean context reminiscent of indoor spaces. This series of studies first establishes that pattern appeal, interest, naturalness, and relaxation have a fundamentally inverse relationship with perceptions of pattern complexity and that the presence of fractal structure contributes uniquely and positively to pattern perception. Subsequently, the addition of Euclidean structure establishes a discrete pattern boundary that alters fractal perceptions of interest and excitement but not the remaining judgments. The presence of consistent subpopulations, particularly those that contradict overarching perceptual trends is supported across studies, and further emphasizes the importance of adjusting pattern selection to consider the greatest number of possible viewers. Through informed pattern selection, designs can be installed to maximize desired experience of a space while minimizing negative impressions bound to arise in a minority of occupants. This set of studies demonstrates that through control of perceived pattern complexity and whether an emphasis is placed on pattern boundaries, fractal patterns can serve to establish predictable experiences of humanmade spaces in order to inject the benefits of nature into manufactured environments.
Comparing Chinese and Western classroom learning environment research: a bibliometric analysis and visualization
Authors: Cai Juan , Backer Free De , Vandermeersche Geert , Lombaerts Koen
Published: August 2023

A comprehensive cross-national understanding of the classroom learning environment (CLE) is critical to advancing CLE’s development. This study compares the English and Chinese CLE literature to enhance a complete understanding of CLE. We conducted bibliometric analysis on 3,130 English literature from Social Sciences Citation Index (SSCI) and 1,261 Chinese literature from the Chinese Social Sciences Citation Index (CSSCI). The results show that both Chinese and English literature focus on the influence of CLE on students’ cognitive and affective learning outcomes and the incorporation of information technology in CLE. The results also reveal the differences between Chinese and English literature from two perspectives: (1) Chinese CLE research mainly focuses on English education, and English CLE research mainly focuses on science education and (2) Chinese CLE research mainly analyzed the pedagogical aspect of CLE, while English CLE research focused on CLE’s social and psychological aspects. We also discussed that future research should focus on (1) the balance of analyzing CLE from the perspective of students and other educational stakeholders such as teachers and school leaders, (2) student differences from the pedagogical level, (3) the physical level of CLE, (4) the use of statistical methods such as structural equation modeling that can analyze the mechanisms underlying the effects of CLE on student learning, and (5) the interdisciplinary research on CLE.
Cognitive aging in rural communities: preliminary memory characterization of a community cohort from Southern Nevada
Authors: Miller Justin B. , Wong Christina G. , Caldwell Jessica Z. K. , Rodrigues Jessica , Pudumjee Shehroo , John Samantha E. , Ritter Aaron
Published: August 2023

Introduction

Rural-dwelling older adults face unique health challenges that may increase risk for Alzheimer's disease and dementia but are underrepresented in aging research. Here, we present an initial characterization of a rural community cohort compared to an urban cohort from the same region.

Methods

Adults over age 50 living in a non-metropolitan area are clinically characterized using the Uniform Data Set, enriched with additional measures of verbal and non-verbal memory measures. Neighborhood disadvantage is also assessed. Clinical and cognitive differences between cohorts were explored after stratifying by cognitive impairment.

Results

Between group comparisons found that rural-dwellers demonstrated better verbal memory than urban-dwellers on primary indices of learning, recall, and recognition, with small to medium effects in overall comparisons. When stratified by impairment, rural-urban differences were notably larger among cognitively normal individuals. Within-group comparisons found that the magnitude of impairment between cognitively normal and impaired groups was greater among rural-dwellers compared to urban-dwellers. No differences in non-verbal memory or overall clinical status were found, and there were no effects of neighborhood disadvantage on any cognitive measure.

Discussion

Living in a rural community presents a complex set of contextual factors that for some, may increase risk for dementia. In this study, we found small to moderate memory advantages for rural-dwellers, leaving open the possibility that late-life rural living may be advantageous for some and promote resilience. Additional prospective research is critically needed to better understand the factors that influence aging outcomes in this underrepresented population.
The effect of Tuina based on the concept of hip-knee-ankle conjugation in patients with chronic ankle instability: study protocol for a randomized controlled trial
Authors: Wen Zonglin , Lyu Ruoyun , Wang Wei , Hua Xia , Yu Yifeng , Zeng Ke , Kong Lingjun , Wang JianWei
Published: August 2023

Background

Chronic ankle instability (CAI) is a common sports injury disease and characterized by limited mobility, perceived instability and muscle weakness, combined treatment of hip-knee-ankle is a common rehabilitation method. Tuina, as a traditional Chinese manual therapy, is usually used for CAI, but many of them only focus on the local ankle joint rather than the combination of hip and knee joint. Therefore, we have designed a randomized controlled trial (RCT) to investigate the effects of Tuina base on the concept of hip-knee-ankle conjugation on the stability and balance of lower limbs and ankle function in patients with CAI.

Methods

We have designed a randomized controlled trial. A total of 72 participants with CAI will be randomly divided into functional training groups and hip-knee-ankle Tuina combined with functional training group in a 1:1 ratio. Participants in control group will receive 8 sessions of functional training (30 min per session, twice a week for 4 weeks). Participants in intervention group will receive 8 sessions of Tuina combined with functional training (twice a week for 4 weeks). The primary outcomes include the Y-Balance Test (YBT) and Cumberland Ankle Instability Tool (CAIT). The Secondary outcomes include the Foot and Ankle Ability Measure (FAAM) and ankle range of motion (ROM). The outcome assessments will be conducted before the first intervention and after the last intervention.

Discussion

The aim of this study is to explore a safe and effective manipulation program and serve as reference for clinical treatment of CAI and expect to provide the necessary theoretical and practical support to our future research.

Clinical Trial Registration

Chinese Clinical Trail Registry ChiCTR2300068274.
The VA National TeleNeurology Program implementation: a mixed-methods evaluation guided by RE-AIM framework
Authors: Damush Teresa M. , Wilkinson Jayne R. , Martin Holly , Miech Edward J. , Tang Qing , Taylor Stanley , Daggy Joanne K. , Bastin Grace , Islam Robin , Myers Laura J. , Penney Lauren S. , Narechania Aditi , Schreiber Steve S. , Williams Linda S.
Published: August 2023

Introduction

The Veteran Affairs (VA) Office of Rural Health (ORH) funded the Veterans Health Administration (VHA) National TeleNeurology Program (NTNP) as an Enterprise-Wide Initiative (EWI). NTNP is an innovative healthcare delivery model designed to fill the patient access gap for outpatient neurological care especially for Veterans residing in rural communities. The specific aim was to apply the RE-AIM framework in a pragmatic evaluation of NTNP services.

Materials and methods

We conducted a prospective implementation evaluation. Guided by the pragmatic application of the RE-AIM framework, we conceptualized a mixed-methods evaluation for key metrics: (1) reach into the Veteran patient population assessed as total NTNP new patient consult volume and total NTNP clinical encounters (new and return); (2) effectiveness through configurational analysis of conditions leading to high Veteran satisfaction and referring providers perceived effectiveness; (3) adoption and implementation by VA sites through site staff and NTNP interviews; (4) implementation success through perceived management, implementation barriers, facilitators, and adaptations and through rapid qualitative analysis of multiple stakeholders’ assessments; and (5) maintenance of NTNP through monitoring quarterly TeleNeurology consultation volume.

Results

NTNP was successfully implemented in 13 VA Medical Centers over 2 years. The total NTNP new patient consult volume in fiscal year 2021 (FY21) was 836 (58% rurally residing); this increased to 1,706 in fiscal year 2022 (FY22) (55% rurally residing). Total (new and follow-up) NTNP clinical encounters were 1,306 in FY21 and 3,730 in FY22. Overall, the sites reported positive experiences with program implementation and perceived that the program was serving Veterans with little access to neurological care. Veterans also reported high satisfaction with the NTNP program. We identified the patient level of perceived excellent teleneurologist–patient communications, reduced need to drive to get care, and that NTNP provided care that the Veteran otherwise could not access as key factors related to high Veteran satisfaction.

Conclusions

The VA NTNP demonstrated substantial reach, adoption, effectiveness, implementation success, and maintenance over the first 2 years of the program. The NTNP was highly acceptable to both the clinical providers making the referrals and the Veterans receiving the referred video care. The pragmatic application of the RE-AIM framework to guide implementation evaluations is appropriate, comprehensive, and recommended for future applications.
The effect of tail stiffness on a sprawling quadruped locomotion
Authors: Buckley Josh , Chikere Nnamdi , Ozkan-Aydin Yasemin
Published: August 2023

A distinctive feature of quadrupeds that is integral to their locomotion is the tail. Tails serve many purposes in biological systems, including propulsion, counterbalance, and stabilization while walking, running, climbing, or jumping. Similarly, tails in legged robots may augment the stability and maneuverability of legged robots by providing an additional point of contact with the ground. However, in the field of terrestrial bio-inspired legged robotics, the tail is often ignored because of the difficulties in design and control. In this study, we test the hypothesis that a variable stiffness robotic tail can improve the performance of a sprawling quadruped robot by enhancing its stability and maneuverability in various environments. In order to validate our hypothesis, we integrated a cable-driven, flexible tail with multiple segments into the underactuated sprawling quadruped robot, where a single servo motor working alongside a reel and cable mechanism regulates the tail’s stiffness. Our results demonstrated that by controlling the stiffness of the tail, the stability of locomotion on rough terrain and the climbing ability of the robot are improved compared to the movement with a rigid tail and no tail. Our findings highlight that constant ground support provided by the flexible tail is key to maintaining stable locomotion. This ensured a predictable gait cycle, eliminating unexpected turning and slipping, resulting in an increase in locomotion speed and efficiency. Additionally, we observed the robot’s enhanced climbing ability on surfaces inclined up to 20°. The flexibility of the tail enabled the robot to overcome obstacles without external sensing, exhibiting significant adaptability across various terrains.
Duration of intermittent hypoxia impacts metabolic outcomes and severity of murine NAFLD
Authors: Barnes Laura A. , Xu Yinuo , Sanchez-Azofra Ana , Moya Esteban A. , Zhang Michelle P. , Crotty Alexander Laura E. , Malhotra Atul , Mesarwi Omar
Published: August 2023

Rationale

Obstructive sleep apnea (OSA) is associated with metabolic dysfunction, including progression of nonalcoholic fatty liver disease (NAFLD). Chronic intermittent hypoxia (IH) as a model of OSA worsens hepatic steatosis and fibrosis in rodents with diet induced obesity. However, IH also causes weight loss, thus complicating attempts to co-model OSA and NAFLD. We sought to determine the effect of various durations of IH exposure on metabolic and liver-related outcomes in a murine NAFLD model. We hypothesized that longer IH duration would worsen the NAFLD phenotype.

Methods

Male C57BL/6J mice (n = 32) were fed a high trans-fat diet for 24 weeks, to induce NAFLD with severe steatohepatitis. Mice were exposed to an IH profile modeling severe OSA, for variable durations (0, 6, 12, or 18 weeks). Intraperitoneal glucose tolerance test was measured at baseline and at six-week intervals. Liver triglycerides, collagen and other markers of NAFLD were measured at sacrifice.

Results

Mice exposed to IH for 12 weeks gained less weight (p = 0.023), and had lower liver weight (p = 0.008) relative to room air controls. These effects were not observed in the other IH groups. IH of longer duration transiently worsened glucose tolerance, but this effect was not seen in the groups exposed to shorter durations of IH. IH exposure for 12 or 18 weeks exacerbated liver fibrosis, with the largest increase in hepatic collagen observed in mice exposed to IH for 12 weeks.

Discussion

Duration of IH significantly impacts clinically relevant outcomes in a NAFLD model, including body weight, fasting glucose, glucose tolerance, and liver fibrosis.
Robert S. Schwartz, MD, a transformative figure in immunosuppression that revolutionized transplantation
Authors: Li Xian C.
Published: August 2023

While the transplant community celebrated more than a million transplant patients in the United States, we are reminded that our journey to such a celebratory success is the results of remarkable breakthroughs and brilliant innovators. Among those, immunosuppression drugs are undoubtedly a cornerstone of transplant success, an area where Dr. Robert Schwartz is undeniably a transformative figure and a pioneer. His seminal studies on 6-mercaptopurine in 1959 gave birth to an entirely new specialty of immunosuppression that dramatically accelerated the advancement of clinical organ transplantation.
How Can Wind Turn Into Electricity?
Authors: Yahalom Asher
Published: August 2023

Wind generators, also known as wind turbines, turn wind into electricity. A wind turbine consists of several metal blades mounted on a metal pole and connected to an electrical generator. The wind rotates the blades, which turn a gear shaft connected to the generator, causing a coil of wires in the generator to move around a magnetic core. This generates an electric current that can be used for all our electrical needs, such as lights. Wind turbines should be placed in areas with strong winds, such as beaches, high mountain peaks, and wide-open mountain valleys. Wind turbines do not consume fuel, and therefore they are environmentally friendly because they do not emit the greenhouse gases that cause global warming.
Boredom as the originator of a desideratum - reflections on the creative and suppressive consequences of boredom in the school context
Authors: Zeißig Anke
Published: August 2023

Bored children begin to draw, do crafts, to fidget - or they do something bad. Others fall silent, withdraw, or become lethargic. Research on school-related boredom has focused primarily on the negative consequences of boredom, such as decreased cognitive performance, motivation or attentativeness, or disruptiveness. These negative aspects of boredom can be contrasted by the notion that boredom can promote creative performance. This paper reflects on boredom's creative and suppressive consequences as an interplay of personality traits and behavioral possibilities in school situations, on the one hand, and as an interplay of situational experiences with constituent developmental processes on the other. It is proposed that boredom is a gauge of the learner's resonance with school content, learning and/or developmental relationships. Boredom indicates a psychological need and its desideratum. Thus, both creative and suppressive potentials are inherent in boredom.
Effects of local nitrogen supply and nitrogen fertilizer variety coupling on rice nitrogen transport and soil nitrogen balance in paddy fields
Authors: Hu Ren , Xiao Dakang , Ding Zijuan , Cao Yuxian , Hou Jun , Wang Xuexia
Published: August 2023

Introduction

This study aimed to provide the theoretical basis for formulating scientific and reasonable on-farm nitrogen (N) management measures and efficient strategic fertilization to understand the effects of localized N supply (LNS) and N fertilizer variety coupling on N transport and soil N balance in rice fields.

Methods

A 2-year field experiment (2020 and 2021) was conducted in Jingzhou, Hubei Province, which included the following six treatments: no N application (CK), farmers' fertilizer practice (FFP), and four LNS treatments, including two N application methods including mechanical side-deep fertilization (M) and root-zone fertilization (R), two N fertilizer types with urea (U), and controlled-release urea (CRU).

Results

Compared with FFP, LNS increased the N apparent translocation level from stems, sheathes, and leaves (TNT) and N uptake by 10.70–50.59% and 11.28–29.71%, respectively. In LNS, the levels of nitrite reductase (NR), glutamine synthetase (GS), and glutamate synthase (GOGAT) under R increased by 13.81, 9.56, and 15.59%, respectively, compared with those under M, resulting in a significant increase in TNT by 8.58% and N uptake by 1.87%. Regarding the N fertilizer type, CRU significantly increased chlorophyll content by 7.27%, superoxide dismutase (SOD) and catalase (CAT) by 14.78 and 29.95% (p < 0.05), and NR, GS, and GOGAT by 44.41, 16.12, and 28.41% (p < 0.05), respectively, compared with that in U, which contributed to N absorption and transport. Moreover, CRUR significantly decreased N apparent loss by 50.04% compared with CRUM (p < 0.05).

Discussion

Considering the risk of soil N leaching and environmental protection, R should be selected as the recommended fertilization method. The combination of CRU and R is the most effective fertilization approach.
Assessment of Asteroid Classification Using Deep Convolutional Neural Networks
Authors: Bacu Victor , Nandra Constantin , Sabou Adrian , Stefanut Teodor , Gorgan Dorian
Published: August 2023

Near-Earth Asteroids represent potential threats to human life because their trajectories may bring them in the proximity of the Earth. Monitoring these objects could help predict future impact events, but such efforts are hindered by the large numbers of objects that pass in the Earth’s vicinity. Additionally, there is also the problem of distinguishing asteroids from other objects in the night sky, which implies sifting through large sets of telescope image data. Within this context, we believe that employing machine learning techniques could greatly improve the detection process by sorting out the most likely asteroid candidates to be reviewed by human experts. At the moment, the use of machine learning techniques is still limited in the field of astronomy and the main goal of the present paper is to study the effectiveness of deep convolutional neural networks for the classification of astronomical objects, asteroids in this particular case, by comparing some of the well-known deep convolutional neural networks, including InceptionV3, Xception, InceptionResNetV2 and ResNet152V2. We applied transfer learning and fine-tuning on these pre-existing deep convolutional networks, and from the results that we obtained, the potential of using deep convolutional neural networks in the process of asteroid classification can be seen. The InceptionV3 model has the best results in the asteroid class, meaning that by using it, we lose the least number of valid asteroids.
Evaluation of Genotypic Variability and Analysis of Yield and Its Components in Irrigated Rice to Stabilize Yields in the Senegal River Valley Affected by Climate Change
Authors: Moukoumbi Yonnelle Dea , Bayendi Loudit Sandrine Mariella , Sikirou Mouritala , Mboj Daouda , Hussain Tajamul , Bocco Roland , Manneh Baboucarr
Published: August 2023

Rice is an important cereal crop in many countries, but its production in the Senegal River Valley is hampered by adverse climatic conditions. This study was aimed at evaluating the diversity among genotypes and the association between several phenological and yield attributes of irrigated rice to mitigate the consequences of climate change. During the dry season of 2013–2014, 300 irrigated high yielding oryza sativa indica panel were used in an Alpha-lattice experiment at the Ndiaye research station in Senegal. Results revealed considerable differences between genotypes in yield and yield attributes. Grain yields ranged between 1378 and 9776 kg/ha. There were also substantial differences in the genotypic and phenotypic coefficients of variation, broad-sense heritability, genetic advance, and genetic advance as a percentage of the mean between evaluated traits. Days to heading (DH) had a higher broad-sense heritability (67.31%), indicating that the chances of transferring this trait for selection purposes will be higher, and genotypes may be used to generate early or late flowering lines. Significant positive and negative correlations were found between the studied traits and grain yield. Path analysis indicated that the maximum positive direct impact was observed with the harvest index (0.256), and the maximum negative direct effect was observed with the days to heading (−0.142). Results showed that 56 accessions outperformed the local check Giza 178, whose yield was 8987 kg/ha. Using principal component analysis and a dendrogram, genotypes were classified into four groups. The plant materials had significant variability and may be utilized to develop desired features in rice-breeding programs.
Optimizing Sowing Patterns and Nitrogen Management Strategies Used to Balance Maize Crop Productivity, N2O Emissions, and Economic Benefits in the Loess Plateau Region of China
Authors: Liu Shiju , Li Wei , Liu Lulu , Wen Xiaoxia , Liao Yuncheng , Zhang Guangxin , Han Juan
Published: August 2023

Understanding the combined effects of sowing patterns and nitrogen (N) management strategies on crop productivity, environmental costs, and economic benefits is important to ensuring the sustainable development of dryland agriculture. Thus, we conducted a three-year field experiment to explore two spring maize sowing patterns (FS, flat sowing; RFPM, ridge and furrow plastic film mulching) and four N management strategies (N0, no N fertilizer; N1, normal urea as base fertilizer; N2, split application of normal urea at sowing and a large flare period at a ratio of 3:2; N3, all controlled-release urea as base fertilizer) on growth, the grain yield, the N uptake and utilization efficiency, N2O emissions, and economic benefits in the Loess Plateau region of China. Our results showed that compared to FS, RFPM promoted growth of the spring maize canopy and increased the grain yield, cumulative N uptake, and N use efficiency. RFPM promoted N2O emissions by improving the soil’s hydrothermal environment, but it reduced the environmental cost (yield-scaled N2O emission). RFPM increased the production cost, but it increased the net income by improving the total output. Compared to traditional N management strategies (N1), N2 and N3 treatments improved the spring maize productivity and net income, and they reduced the environmental costs by improving the synchronization of the nitrogen supply. However, due to the decreasing rural labor force available in China, N3 is more beneficial in terms of reducing labor inputs. Therefore, we suggest that RFPM and N3 can be combined to form an efficient management strategy for spring maize production in the Loess Plateau that balances crop productivity, N2O emissions, and economic benefits.
Tillage, Manure, and Biochar Short-Term Effects on Soil Characteristics in Forage Systems
Authors: Hays Katherine N. , Muir James P. , Kan Eunsung , DeLaune Paul B. , Brady Jeff A. , Obayomi Olabiyi , Mitchell Adam B.
Published: August 2023

Manure, a globally used soil amendment, can contribute to excessive N and P runoff, leading to water pollution. Biochar (BC) shows promise in mitigating nutrient loss by retaining soil nutrients. However, there is limited research exploring the combined effects of tillage practices, biochar, manure, forage crops, and soil types on soil nutrient characteristics in a single field study. Our objectives are to determine if, in North Central Texas, differing soil types, soil amendments, forage crops, and tillage practices affect soil nutrients when applied short term, and whether correlations exist among soil nutrient characteristics as affected by soil amendments, tillage practices, and the presence of forage crops. The study encompasses three field sites with five factors, including soil types, manure rates, biochar rates, tillage practices, and forage crop types. Soil samples were assayed for pH, electrical conductivity (EC), macronutrients, and micronutrients. Data analyses involved variance analysis, Fisher’s tests, and Pearson’s correlations using R in Rstudio (the IDE). Microplots treated with manure (average 2.16 ppm) retained 60% greater average nitrate levels at the end of the growing season than those treated with a synthetic fertilizer (average 1.35 ppm) (p ≤ 0.05). Moderate and strong correlations were observed between EC and S (r (106) = 0.43, p < 0.001 in loamy sand soil; r (106) = 0.80, p < 0.001 in clay loam soil) and between nitrate and Zn, (r (106) = 0.36, p < 0.001 in loamy sand soil; r (106) = 0.44, p < 0.001 in sandy loam soil) across different soil types. Soil type (texture) emerged as the primary influencing factor on plant-available soil nutrients and characteristics, followed by manure application and tillage practices. The impact of BC and forage crop type varied depending on other experimental factors. Understanding the influence of soil type, amendment application, and tillage on soil nutrient characteristics can guide sustainable forage production practices and soil nutrient management strategies.
Use of Elicitors and Beneficial Bacteria to Induce and Prime the Stilbene Phytoalexin Response: Applications to Grapevine Disease Resistance
Authors: Jeandet Philippe , Trotel-Aziz Patricia , Jacquard Cédric , Clément Christophe , Mohan Chandra , Morkunas Iwona , Khan Haroon , Aziz Aziz
Published: August 2023

Phytoalexins are naturally occurring molecules with antimicrobial activity deriving from the secondary metabolism of plants; they are synthesized in response to physical agents or stresses and phytopathogenic agents (fungi, bacteria and viruses), as well as numerous chemical compounds and biological control agents. Among these, grapevine phytoalexins, which belong to the chemical group of stilbenes, exhibit biocidal activity against a large number and variety of plant pathogens. It is important to investigate whether induction of stilbene phytoalexin production can serve to protect this plant against its pathogens. Quite a few chemical compounds, derivatives of phytohormones bio-elicitors as well as biocontrol agents, have been used to induce the synthesis of stilbene phytoalexins with the aim of conferring protection to grapevine against its main diseases (gray mold, downy mildew, powdery mildew and esca). This article reviews the experiments that have been carried out in this direction during the last 30 years and shows that the observed protective effects towards pathogens are generally linked to induction and priming of the grapevine phytoalexin response, confirming the interest in using, in a more general way, stimulation of the production of phytoalexins in plants as a basis for crop protection.
Insights on the Evolutionary History and Genetic Patterns of Octopus vulgaris Cuvier, 1797 in the Northeastern Atlantic Using Mitochondrial DNA
Authors: Pérez Trinidad , Romero-Bascones Andrea , Pirhadi Negin , Coya Ruth , Fernández-Rueda María del Pino , Márquez Isabel , García-Flórez Lucía , Borrell Yaisel J.
Published: August 2023

Octopus vulgaris is one of the most harvested octopus species in the world. In the Iberian Peninsula, there are several small-scale fisheries that have a long-term tradition of harvesting octopus. The Asturias fleet (in Northern Spain) has an internationally recognized MSC label for its exploitation. Of concern, genetic assessments of exploited stocks are currently scarce, which could prevent the implementation of adequate managing strategies. We use two mitochondrial regions (cytochrome oxidase subunit 1 and control region) to analyze the genetic status and evolutionary events that conditioned octopus populations’ characteristics in the Northeastern Atlantic. A total of 90 individuals were sampled from three different localities in the Iberian Peninsula as well as a location in Macaronesia. Temporal genetic analyses on Asturias and Algarve populations were also performed. Results indicated the absence of fine spatial genetic structuring but showed the Canary Islands (in Macaronesia) as the most distinct population. Our analyses detected two distinct clades, already described in the literature, but, for the first time, we confirmed the presence of the α-southern haplogroup in the Northern Iberian Peninsula. This result indicates a more continuous cline for the distribution of these two haplogroups than previously reported. Temporal changes in the distribution of both haplogroups in contact zones were also detected.
Molecular Characteristics of Chicken Infectious Anemia Virus in Central and Eastern China from 2020 to 2022
Authors: Xu Shuqi , Zhang Zhibin , Xu Xin , Ji Jun , Yao Lunguang , Kan Yunchao , Xie Qingmei , Bi Yingzuo
Published: August 2023

To evaluate the recent evolution of CIAV in China, 43 flocks of chickens from the provinces of Henan, Jiangsu, Hubei, and Anhui were screened via polymerase chain reaction during 2020–2022. Of these, 27 flocks tested positive for CIAV nucleic acids, including 12 which were positive for other immunosuppression viruses. Additionally, 27 CIAV strains were isolated, and their whole genomes were sequenced. The AH2001 and JS2002 strains shared the highest identity at 99.56%, and the HB2102 and HB2101 strains shared the lowest identity at 95.34%. Based on the genome sequences of these strains and reference strains, a phylogenetic tree was constructed and divided into eight main branches. Most of the strains were grouped with the East Asian strains, whereas the HB2101 strain belonged to the Brazil and Argentina cluster. A recombination event was detected in multiple strains, in which AH2002 recombined from KJ728827/China/2014 (from Taiwan Province) and HN2203, and AH2202 recombined from KX811526/China/2017 (from Shandong Province) and HN2203. All the obtained strains had a highly pathogenic Gln amino acid site at position 394 of the VP1. Overall, our findings demonstrate the importance of CIAV monitoring and provide data that aid in understanding the evolution of CIAV.
Comparative Transcriptomics Identify Key Pituitary Circular RNAs That Participate in Sheep (Ovis aries) Reproduction
Authors: Yang Jianqi , Tang Jishun , He Xiaoyun , Di Ran , Zhang Xiaosheng , Zhang Jinlong , Guo Xiaofei , Chu Mingxing , Hu Wenping
Published: August 2023

CircRNAs have been found to play key roles in many biological processes and have diverse biological functions. There have been studies on circRNAs in sheep pituitary, and some important circRNAs have been found. But there are still few studies on circRNAs in sheep pituitary with different fecundity. In this study, we obtained the circRNAs expression profiles in the pituitary of FecB ++ genotype Small Tail Han sheep with different fecundity and estrous phases. A total of 34,878 circRNAs were identified in 12 pituitary samples, 300 differentially expressed circRNAs (DE circRNAs) (down: 104; up: 196) were identified in polytocous sheep in the follicular phase (PF) and monotocous sheep in the follicular phase (MF) (PF vs. MF), and 347 DE circRNAs (down: 162; up: 185) were identified in polytocous sheep in the luteal phase (PL) and monotocous sheep in the luteal phase (ML) (PL vs. ML). Cortisol synthesis and secretion pathway (follicular phase) and estrogen signaling pathway (luteal phase) were obtained by functional enrichment analysis of circRNAs source genes. Competing endogenous RNA (ceRNA) network analysis of key DE circRNAs revealed that oar-circ-0022776 (source gene ITPR2, follicular phase) targeted oar-miR-432, oar-circ-0009003 (source gene ITPR1, luteal phase) and oar-circ-0003113 (source gene PLCB1, luteal phase) targeted oar-miR-370-3p. We also explored the coding ability of DE circRNAs. In conclusion, our study shows that changes in the pituitary circRNAs may be related to the response of the pituitary to steroid hormones and regulate the reproductive process of sheep by affecting the pituitary function. Results of this study provide some new information for understanding the functions of circRNAs and the fecundity of FecB ++ genotype sheep.
Phytochemical Analysis and Antioxidant Activity of Ethanolic Extracts from Different Parts of Dipteryx punctata (S. F. Blake) Amshoff
Authors: Sousa Bruna Cristine Martins de , Gomes Daniel do Amaral , Viana Alciene Ferreira da Silva , Silva Bruno Alexandre da , Barata Lauro Euclides Soares , Sartoratto Adilson , Lustosa Denise Castro , Vieira Thiago Almeida
Published: August 2023

The genus Dipteryx, to which the cumaru tree belongs, contains neotropical species native to Central and South American countries. They are used both in the sale of timber and seeds and for the extraction of the active compound coumarin, used as a flavoring agent. This study evaluated the phytochemical profile and antioxidant activity of extracts of leaves, branches, and fruits (residues and seeds) of the species Dipteryx punctata. The plant material for analysis was collected in five seed-producing areas, in Mojuí dos Campos, Pará, Brazil. The extracts were obtained via Soxhlet extractor using 92.8% distilled ethanol as the solvent and operated till exhaustion (8 h). Chromatographic analyses were performed by thin-layer chromatography (TLC) and gas chromatography coupled to mass spectrometry (GC-MS), followed by phytochemical determination of phenolics and flavonoids and analysis of antioxidant activity (TLC and free radical scavenging 2,2-diphenyl-1-picrylhydrazyl (DPPH). The highest extract yields were obtained from D. punctata fruit residues and seeds from all areas, with maximum values of 26.1% and 47.2%, respectively, in Boa Fé (area 3). In the evaluation by TLC, the extracts of leaves, branches, and residues presented the classes of terpenes, condensed and hydrolysable tannins, and flavonoids; coumarin (1,2-benzopyrone) was identified only in residue and seed extracts. The major constituents highlighted in the collection areas were: lupeol in leaves (34.4% in area 5), 4-O-methylmannose in branches and residues (85.5% in area 2 and 90.6% in area 5, respectively), and coumarin in seeds (99.3% in area 3). The best results for the antioxidant action were obtained for extracts from leaves and residues, requiring a concentration of 117.6 µg.mL−1 of the extract from the leaves and 160.4 µg.mL−1 of the extract from the residues to reduce the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical by 50%. This phytochemical study contributes to reducing the scarcity of information on D. punctata. The chemical classes and compounds identified corroborate the antioxidant activity and add value to the species, and the data obtained reinforce the importance of reusing fruit residues, which are chemically rich but discarded in the environment.
An Objective Evaluation Method for Driver/Passenger Acceptance of an Autonomous Driving System for Lane Changes
Authors: Moon Chulwoo
Published: August 2023

Reliable assessment methods of driver acceptance are needed due to increased interest in high levels of autonomous driving systems. Subjective evaluation methods have mostly been utilized to assess the acceptance of newly developed advanced driver assistance systems because acceptance varies depending on the individual. In this paper, an objective evaluation methodology of driver acceptance for an autonomous driving system was proposed based on objective measurable parameters in the case of automatic lane change situations. To this end, a massive driver–vehicle interaction database was utilized, constructed by a specially designed experimental program. The experiment was carried out with 19 selected drivers (9 experts and 10 novices), supposed as an autonomous driving system. The database consisted of not only various measurable parameters on control commands, vehicle behaviors, and relations with other vehicles but also subjective acceptances. To interpret the driver acceptance, objective parameter sets were derived by two different methods: a statistical significance test and an acceptance sensitivity analysis. Then, a modeling method based on stochastic estimation to evaluate driver acceptance was suggested as an objective evaluation method for the driver acceptance of an automatic lane change system. The data set of the expert drivers was only used for the acceptance evaluation modeling; the other data sets of the novice drivers were used for verifications for the suggested model. The estimation accuracies of the two different models using a significance test and sensitivity analysis were 90.2% and 99.5%, respectively. This objective method for acceptance evaluation can not only be expanded to other functions of an autonomous driving system but also to an entirely autonomous driving vehicle.
Grasp Planning Based on Metrics for Collaborative Tasks Using Optimization
Authors: Zafra-Urrea Ronald Miguel , López-Damian Efraín , Santana-Díaz Alfredo
Published: August 2023

In recent years, technological developments in the field of robotics have expanded their application spectrum to encompass tasks that involve human inclusion in the same workspace. One of the challenges of robotics collaboration is the issue of how a robot and a human can perform daily collaborative tasks, like manipulation of an object. One significant specific problem to solve is where the robot can grasp the object knowing the human grasping points. This research proposes a planning algorithm to find a robot grasping point based on geometric grasp metrics as well as a new heuristic metric focused on the intrinsic inertia in multi-directional object movement. We propose three grasping points: two points emulating each human hand, positioned anywhere on the object and one last point, referencing the robot, which will be optimized as a multi-objective (MO) function problem. The planner was tested using common objects present in human environments (a chair and a table).
A Blockchain Solution for Remote Sensing Data Management Model
Authors: Zou Quan , Yu Wenyang , Bao Ziwei
Published: August 2023

A large number of raw data collected by satellites are processed by the production chain to obtain a large number of product data, of which the secure exchange and storage is of interest to researchers in the field of remote sensing information science. Authentic, secure data provide a critical foundation for data analysis and decision-making. Traditional centralized cloud computing systems are vulnerable to attack and, once the central server is successfully attacked, all data will be lost. Distributed ledger technology (DLT) is an innovative computer technology that can ensure information security and traceability, is tamper-proof, and can be applied to the field of remote sensing. Although there are many advantages to using DLT in remote sensing applications, there are some obstacles and limitations to its application. Remote sensing data have the characteristics of a large data volume, a spatiotemporal nature, global scale, and so on, and it is difficult to store and interconnect remote sensing data in the blockchain. To address these issues, this paper proposes a trustworthy and decentralized system using blockchain technology. The novelty of this paper is the proposal of a multi-level blockchain architecture in which the system collects remote sensing data and stores them in the Interplanetary File System (IPFS) network; after generating the IPFS hash, the network rehashes the value again and uploads it on the Ethereum chain for public query. The distributed data storage improves data security, supports the secure exchange of information, and improves the efficiency of data management.
Study of Structure, Morphology and Optical Properties of Cobalt-Doped and Co/Al-co-Doped ZnO Thin Films Deposited by Electrospray Method
Authors: Marinov Georgi , Georgieva Biliana , Vasileva Marina , Babeva Tsvetanka
Published: August 2023

A versatile electrospray method was utilized for deposition of thin ZnO films doped with Co (5%) (CZO) or co-doped with Co (2.5%) and Al (2.5%) (CAZO). Thin polycrystalline films with approximate thickness of 200 nm and high transmittance (more than 80%) were obtained. No additional XRD peaks due to dopant impurities or dopant oxides were observed. The cobalt doping led to decrease in grain size and increase in crystallite size from 22 nm to 29 nm in the (101) direction. Smaller changes were observed for the CAZO films. Surface roughness of the films was measured using a 3D optical profiler. Surface roughness of the doped films was from 5 nm to 9 nm higher than that of the pure films. Refractive index, extinction coefficient and thickness of the films were calculated using ellipsometric measurements and were further used for determination of optical band gap and Urbach energy. Refractive index and optical band gap increased with doping from 1.86 and 3.29 eV for pure ZnO to 2.00 and 3.35 eV for CZO and 1.97 and 3.33 eV for CAZO films. Through calculation of Urbach energy (119 meV for pure ZnO, 236 meV for CZO and 138 meV for CAZO), it was demonstrated that doping leads to an increase in structural disorder, most pronounced in the case of Co doping.
Launch Dynamic Simulation of a Compressed-Air Launcher for Fire Suppression
Authors: Jin Yong , Gu Yufei , Zhu Hongjiang , Jiang Chuan , Huang Jin , Zhu Jianping , Zhu Yuejin
Published: August 2023

This paper focuses on improving fire suppression performance through the use of compressed-air launching technology. A launch dynamics calculation model of a compressed-air launcher is presented, developed using VC++ programming, to simulate the acceleration process of a fire-extinguishing bomb in a barrel. By analyzing the influences of various structural and initial parameters on interior ballistics variations, the effectiveness of the calculation model and program in accurately simulating the launching process is demonstrated. The calculation results indicate that the bore pressure follows a similar trend to that of traditional gunpowder launching. Additionally, it is found that specific structural parameters, such as nozzle diameter and gas cylinder volume, have a direct impact on interior ballistics variations. Notably, the nozzle diameter positively affects the peak pressure, muzzle velocity, gas transfer efficiency, and launch efficiency. To ensure an optimal launch effect and efficiency, the nozzle diameter should be selected to be more than half of the launcher caliber. Similarly, the gas cylinder volume positively influences the peak pressure and muzzle velocity while negatively affecting the gas transfer efficiency and launch efficiency. Furthermore, the initial pressure in the gas cylinder exhibits a positive linear relationship with both the peak pressure and muzzle velocity but a negative linear relationship with the gas transfer efficiency and launch efficiency. The loading position minimally impacts the peak pressure and muzzle velocity but slightly enhances the gas transfer efficiency and launch efficiency. Finally, it is observed that launch angles do not affect the interior ballistic process. The research findings provide valuable theoretical guidance for determining the working parameters of compressed-air accelerated fire-extinguishing bombs.
Biocompatibility and Degradation of Fe-Mn-5Si Alloy after Equal-Channel Angular Pressing: In Vitro and In Vivo Study
Authors: Rybalchenko Olga , Anisimova Natalia , Martynenko Natalia , Rybalchenko Georgy , Belyakov Andrey , Shchetinin Igor , Lukyanova Elena , Chernogorova Olga , Raab Arseniy , Pashintseva Natalia , Kornyushenkov Evgeny , Babayeva Gulalek , Sokolova Darina , Kiselevskiy Mikhail , Dobatkin Sergey
Published: August 2023

An attempt to improve the functional characteristics of a degradable Fe-Mn-5Si shape memory alloy by means of structure refinement by equal-channel angular pressing (ECAP) was made. In the course of ECAP, an austenitic ultrafine-grained structure was obtained. In shear bands with a thickness of 301 ± 31 nm, twins 11 ± 1 nm in size were formed. Due to the resulting structure, the tensile strength was doubled up to 1419 MPa, and the yield strength was increased up to 1352 MPa, four times higher compared with the annealed state. Dynamic indentation tests revealed a decrease in Young’s modulus by more than 2.5 times after ECAP compared to values measured in the annealed state. The results of the study of hemolytic and cytotoxic activity in vitro, as well as the local and systemic reactivity of the body of laboratory animals after implantation of the test samples indicate the biocompatibility of the alloy after ECAP. Biocompatibility, high specific strength and low modulus of elasticity open prospects for Fe-Mn-5Si alloy after ECAP to be used for the production of degradable implants that can effectively provide the fastening function in osteoreconstruction.
A Novel Visual SLAM Based on Multiple Deep Neural Networks
Authors: Zhu Bihong , Yu Aihua , Hou Beiping , Li Gang , Zhang Yong
Published: August 2023

The current visual simultaneous localization and mapping (SLAM) systems require the use of matched feature point pairs to estimate camera pose and construct environmental maps. Therefore, they suffer from poor performance of the visual feature matchers. To address this problem, a visual SLAM using deep feature matcher is proposed, which is mainly composed of three parallel threads: Visual Odometry, Backend Optimizer and LoopClosing. In the Visual Odometry, the deep feature extractor with convolutional neural networks is utilized for extracting feature points in each image frame. Then, the deep feature matcher is used for obtaining the corresponding feature landmark pairs. Afterwards, a fusion method based on the last and the reference frame is proposed for camera pose estimation. The Backend Optimizer is designed to execute local bundle adjustment for a part of camera poses and landmarks (map points). While LoopClosing, consisting of a lightweight deep loop closure detector and the same matcher as the one used in Visual Odometry is utilized for loop correction based on pose graph. The proposed system has been tested extensively on most of benchmark KITTI odometry dataset. The experimental results show that our system yields better performance than the existing visual SLAM systems. It can not only run in real-time at a speed of 0.08 s per frame, but also reduce estimation error by at least 0.1 m.