bluuebunny/crossref_metadata_2025_split huggingface dataset:
Laparoscopic treatment for incomplete annular pancreas in neonates
Authors: Li Bing , Chen Bing , Xia Lin 
Published: April 2024

Abstract
Purposes
Incomplete annular pancreas refers to the partial encircling of the second part of duodenum by pancreatic tissue anteriorly and posteriorly. The purpose of this manuscript is to report the rare configuration and the laparoscopic management strategy in neonates.
Methods
The subjects for this study were 15 consecutive neonates with incomplete annular pancreas during January 2013 and September 2023. The distal duodenum was incised longitudinally and the proximal duodenum was incised transversely 1.0 cm away from the anterior ring of pancreatic tissue. The length of both the incisions was approximately 1.5-2.0 cm. Laparoscopic side-to-side duodenoduodenostomy was then carried out.
Results
Of all the patients, 6 were male and 9 were female. Crocodile jaw sign pancreas was revealed in all the neonates intraoperatively. Five of the neonates were diagnosed with an annular pancreas coexisting congenital intestinal malrotation, and Ladd’s procedures were performed firstly. Laparoscopic procedures were all completed without conversions. The mean operative time is 82.7 ± 17.5 min in the group (range, 50～120 min). The postoperative recovery was uneventful in all the cases. The mean follow-up duration was 39.9 ± 20.9 months (ranged, 6–60 months). There was not any anastomotic leak and stenosis in the series.
Conclusions
The rarely reported crocodile jaw sign pancreas should be recognized as a distinct type of annular pancreas and need to be given adequate attention clinically. The laparoscopic side-to-side duodenoduodenostomy is a safe and viable treatment option for experienced surgeons.
A novel regulator of wheat tillering LT1 identified by using an innovative BSA method
Authors: Yuan Yundong , Lyu Bo , Qi Juan , Liu Xin , Wang Yuanzhi , Delaplace Pierre , Du Yanfang 
Published: April 2024

Abstract
Branching/tillering is a critical process for plant architecture and grain yield. However, Branching is intricately controlled by both endogenous and environmental factors. The underlying mechanisms of tillering in wheat remain poorly understood. In this study, we identified Less Tiller 1 (LT1) as a novel regulator of wheat tillering using a newly upgraded bulked segregant analysis (BSA) method called uni-BSA, which is well-suited for wheat. Loss-of-function of LT1 results in fewer tillers due to defects in axillary meristem initiation and bud outgrowth. We mapped LT1 to a 6 Mb region on the chromosome 2D short arm and validated a nucleotide-binding (NB) domain encoding gene as LT1 using CRISPR/Cas9. Furthermore, the lower sucrose concentration in the shoot bases of lt1 might result in inadequate bud outgrowth due to disturbances in the sucrose biosynthesis pathways. Co-expression analysis suggests that LT1 controls tillering by regulating TaROX/TaLAX1, the ortholog of the Arabidopsis tiller regulator REGULATOR OF AXILLARY MERISTEM FORMATION (ROX) or the rice axillary meristem regulator LAX PANICLE1 (LAX1). This study not only offers a novel genetic resource for cultivating optimal plant architecture but also underscores the importance of our innovative BSA method. This uni-BSA method enables the swift and precise identification of pivotal genes associated with significant agronomic traits, thereby hastening gene cloning and crop breeding processes in wheat.
The Nonlinear Effect of Adolescent Self-control and Mental Health: The Mediating Role of School Adaptation and the Moderating Role of Physical Activity
Authors: Jiang Yueyan , Liu Chong , Yan Jun , Wang Lingzhi 
Published: April 2024

Abstract
To examines the nonlinear effects of adolescent self-control on mental health and investigates the mediating role of school adaptation and the moderating role of physical activity. We conducted psychological measurements on 2077 high school students from 8 different schools using a psychological scale. The results revealed a U-shaped relationship between adolescent self-control and their mental health and school adaptation. Additionally, school adaptation played a mediating role in the U-shaped relationship between adolescent self-control and mental health. Furthermore, we found that physical activity regulated the indirect effects between adolescent self-control and mental health through school adaptation. The results reveal that adolescents sometimes need to choose between prioritizing internal self or external adaptation strategies to achieve school adaptation, which may lead to excessive depletion of self-control resources and result in a state of "excessive adaptation," thus affecting their mental health. Physical activity can weaken the impact of "excessive adaptation" on mental health by moderating the relationship between adolescent school adaptation and mental health. This study provides new insights into the factors influencing adolescent mental health and advocates for educators to dynamically balance adolescent self-control and school adaptation through reasonable implementation of physical activity to maintain adolescent mental health.
Steering characteristics and path following control of a bionic underwater vehicle with multiple locomotion modes
Authors: Wang Xiaofei , Zhou Chao , Wang Jian , Fan Junfeng , Zhang Zhuoliang , Chang Wenkai 
Published: April 2024

Abstract

The research on the path following control of the bionic underwater vehicle with high maneuverability and propulsive performance is a crucial issue. This paper investigates the planer path following control task of a bionic underwater vehicle with superior maneuverability. The steering characteristics of the sinusoidal offset and unilateral asymmetric steering signals are analyzed. The experimental results demonstrate that the two signals separately have smaller steering radius and power consumption in the low-frequency and relatively high-frequency range, and are consequently suitable for distinct scenarios. Furthermore, a switching nonlinear model predictive control strategy is proposed, which regulates the state error weighting values according to the real-time yaw angle error. The control strategy realizes autonomous switching of multiple locomotion modes to enhance the swimming speed of the bionic underwater vehicle and fulfills the purpose of improving the task-completing efficiency. The simulation and experimental results indicate that the bionic underwater vehicle achieved 3.49 and 2.92 times enhancement in swimming speed performance at straight and steering target path following control tasks, respectively. The proposed methods as well as obtained results can provide universal inspiration for the multiple motion-based path following control of autonomous underwater vehicles.
Relational information framework, causality, unification of quantum interpretations and return to realism through non-ergodicity
Authors: Shor Oded , Benninger Felix , Khrennikov Andrei 
Published: April 2024

Abstract
In the framework of relational information, we explore analogs of physical theories and their properties. Specifically, we investigate the causal characteristics of relational information, examining how initial knowledge impacts future relational understanding of the universe/system. To achieve this, we establish a parameter space defining relational structures called dendrograms, exhibiting causal properties akin to those of Minkowski metric. Subsequently, we propose a statistical-dynamical model on this Minkowski-like parameter space, unifying Bohmian and Many Worlds interpretations of quantum theory in the framework of relational information. Additionally, we provide an analytical proof of the non-ergodicity of the relational information framework, revealing CHSH inequality violations as an emergent phenomenon. Our focus on relational information underscores its significance across scientific disciplines, where a single measurement or observation lacks meaning without context.
A Multi-Pathway Study on the Impact of the Business Environment on Digital Elderly Care Services in China
Authors: Gao Jianli , Zhang Xiaoqing , Wang Lejie , Zhang Xiaoyan 
Published: April 2024

Abstract

A high-quality business environment contributes to unleashing the innovative vitality of market, what kind of business environment can promote the the construction of digital elderly care services is an important issue worthy of attention. Utilizing spatial visualization methods, we unveil distinct regional heterogeneity in the provincial distribution of digital elderly care services. Yangtze River Delta and the Pearl River Delta leading the way. To understand this pattern, we engage the fuzzy-set qualitative analysis and examine the configuration of six equivalent pathways for the the business environment on digital elderly care services. In general, we find digital talent aggregation and government public expenditure playing a deterministic role in all configurations and offer recommendations for the innovative development of digital elderly care services under different digital resource endowments.
A Hybrid Method of Parametric-Factor Analysis in land suitability Studies for Thyme, Marjoram, and Barberry Production in Northeast of Iran
Authors: Hokmabadi Alireza Anvarkhah , Tatari Maryam , Bagherzadeh Ali , Rahimizadeh Majid 
Published: April 2024

Abstract
Land evaluation is the process of predicting land use potential on the basis of its attributes. In the present study, the land suitability evaluation using hybrid method of parametric-factor analysis was investigated for Thyme, Marjoram, and Barberry Production in northeast of Iran. The multivariate statistical method of factor analysis (FA) by principal component analysis (PCA) was applied to assess the land suitability zonation for Thyme, Marjoram, and Barberry production in North Khorasan Province, NE Iran. We processed the extracted variables and obtained four limiting factors that account for about 90% of the total variance. The study area was classified into three land suitability classes: S1 (suitable), S2 (moderately suitable), and S3 (marginally suitable) for Thyme, Marjoram, and Barberry production. The land suitability zonation map revealed that: For Thyme production, 2.43% (621.64 km2) of the area was S1, 92.37% (23542.2 km2) was S2, and 5.20% (1321.97 km2) was S3. For Marjoram production, 78.84% (20091.11 km2) of the area was S2, and 21.16% (5394.7 km2) was S3. For Barberry production, 1.70% (433.48 km2) of the area was S1, 75.80% (19318.68 km2) was S2, and 22.50% (5733.66 km2) was S3. The preference values achieved by the TOPSIS model revealed that Thyme with 0.583 has the highest score followed by Marjoram and Barberry with 0.499 and 0.465, respectively, which corresponds with the estimated land suitability indices obtained by the Parametric-Factor analysis model for the above-mentioned plants in the study area.
Efficacy of Integrated Neurofeedback and Virtual Reality Training in Children with ADHD: A Randomized Controlled Trial
Authors: Wu Chenchao , Wu Deyuan , Fang Yu , Song Haidong 
Published: April 2024

Abstract

Objective: This research aims to explore the therapeutic outcomes of combining Neurofeedback (NF) with Virtual Reality (VR) training on children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) through a randomized controlled trial.
Methods: ADHD patients from the Children's Psychiatry Outpatient and Inpatient Departments of the Seventh People's Hospital in Hangzhou were randomly divided into two groups from March 2021 to December 2022. One group received standard neurofeedback therapy (control group), and the other underwent a combined neurofeedback therapy and a VR-based training system (intervention group). The intervention lasted for three months. This research utilized the SNAP-IV (Swanson, Nolan, and Pelham-IV) Attention Rating Scale for comparative analysis between the groups before and after the intervention.
Results: This study found that combining neurofeedback and virtual reality training has a positive impact on inattention, hyperactivity/impulsivity, and oppositional defiant disorder (ODD)in children with ADHD. Specifically, within the intervention group, the average inattention score decreased significantly from 24.0 (SD = 2.6) before the intervention to 16.8 (SD = 2.7) after the intervention, with an effect size of 2.72 (95% CI: 2.01, 3.42). Similarly, the hyperactivity/impulsivity score decreased significantly from 19.0 (SD = 3.3) to 14.6 (SD = 2.8), with an effect size of 1.44 (95% CI: 0.87, 2.01), and the ODD score decreased from 16.6 (SD = 3.6) to 12.5 (SD = 2.2), with an effect size of 1.37 (95% CI: 0.81, 1.94). After the intervention, intergroup comparisons showed that compared to the intervention group (mean 16.8, SD=2.7), the control group (mean 19.9, SD=3.1) had significantly higher scores in inattention, with an effect size of 1.08 (95% CI: 0.54, 1.62). The difference in hyperactivity/impulsivity scores was smaller but statistically significant, with the control group averaging 16.17 (SD=2.84) and the intervention group 14.60 (SD=2.77), with an effect size of 0.56 (95% CI: 0.04, 1.07). The ODD scores were also higher in the control group (13.93, SD=2.98) compared to the intervention group (12.53, SD=2.21), with an effect size of 0.53 (95% CI: 0.02, 1.05). The intervention group, combining neurofeedback and VR attention training, showed a significant reduction in inattention (average decrease of 7.2, SD=3.6, effect size -0.68 (95% CI: -1.20, -0.16)), with less and non-significant reductions in hyperactivity/impulsivity and ODD symptoms, highlighting the targeted efficacy of the intervention on attention deficits.
Conclusion: Integrating neurofeedback and VR training significantly reduces inattention in children with ADHD, offering a promising approach for targeting core symptoms of the disorder.
Manipulating Hosts Within Mutualisms: Role of Plant Hormones in Selective Resource Allocation
Authors: KULKARNI MANASA , VADASSERY JYOTHILAKSHMI , BORGES RENEE M. 
Published: April 2024

Abstract

In some mutualisms involving plants, photoassimilates are provided as rewards to symbionts. Endophagous organisms often manipulate host plants to increase access to photoassimilates. Host manipulations by endophagous organisms that are also mutualists are generally less understood. We show host plant manipulations by symbionts and the role of phytohormones, i.e. the auxin indole-3-acetic acid (IAA), and the cytokinin trans-zeatin (tZ), in the brood-site pollination mutualism between fig trees and pollinator fig wasps. In this interaction, pollinator wasps pollinate Ficus flowers within a closed inflorescence called a syconium, in exchange for flowers that develop into galls nourishing pollinator offspring. To examine host manipulation by pollinator galls, we compared growth hormones released by syconial occupants within three experimentally produced treatment groups of syconia: S (containing only seeds), G (containing only pollinator galls) and SG (containing seeds and pollinator galls). We harvested syconia from each treatment in the early and mid-phases of syconial maturation when maximal growth occurs and measured hormone levels Hormone levels were reduced by mid-phase in general; however, they were mostly sustained in G syconia in the mid-phase, suggesting that galls manipulate the host to continuously access resources. We found no difference in IAA and tZ levels of S and G syconia. IAA concentrations were higher in SG syconia. From the perspective of the maintenance of the mutualism, syconium volume and hormone concentrations were highest when both seeds and galls were present (SG treatment), indicating that joint control by both partners over allocation of resources to syconia.
Cognitive and neurobehavioural disorders in school-age children in Haut-Katanga province, an environment exposed to trace metals
Authors: Mbuyamba Eunice Bilonda , Mande Jean-Paul Ngoy , Obadia Paul Musa , Mulumba Claude Mwamba Mwamba , Haufroid Vincent , Nemery Benoit , Mukalay Abdon Mukalay w , Nkulu Célestin Banza Lubaba , ris Laurence , Lefebvre Laurent , E-Andjafono Daniel Okitundu Luwa 
Published: April 2024

Abstract
Introduction:
Cognitive and neurobehavioural disorders in children are poorly documented in Haut-Katanga Province, an environment exposed to trace metals.
Objective:
To characterize children's behaviour in relation to cognitive performance and exposure to trace metals in urban and rural environments.
Methods:
A cross-sectional study was carried out on fifty-two children aged 6 to 11 years, including thirty children from urban areas, exposed to trace metals, in the city of Lubumbashi and twenty-two children from rural areas presumed to be less exposed to trace metals, but more exposed to malnutrition. The NEPSY-II tests, the Strengths and Difficulties Questionnaire (SDQ-tutor) and blood and urine trace metals spectrometry assays were used.
Results:
Total behavioural difficulties predominated in rural area, compared to urban environment, while no difference in the stress or impairment related to difficulties was observed between the groups. Children in urban area performed better cognitively than children of rural environment, particularly on the facial affect recognition and on inhibition. Overall, growth nutritional status determined the level of total behavioural difficulties. Cobalt and lead were detected in the blood of children at levels exceeding the upper reference limits of non-occupationally exposed individuals, especially in urban area for cobalt. The presence of metals in urine and blood was correlated in a complex way with behavioral difficulties and cognitive performance.
Conclusion:
The extent of the behavioural problems, in relation to cognitive performance, and their association with nutritional problems and exposure to trace metals indicate a multifactorial neurodevelopmental origin requiring further study.
Item response theory-based validation of a quality of digital marketing actions on Instagram business accounts measurement instrument
Authors: Souza Joyce Edra Pereira , Silva Jonhatan Magno Norte 
Published: April 2024

Abstract

Digital environments have become critical channels for information transmission, enabling companies to expand their presence across various market segments and enhance their product and service offerings. The increasing prominence of social media platforms has made it necessary for companies to invest significantly in digital marketing techniques. In light of this, this article aims to develop a scale for measuring the quality of digital marketing actions on Instagram business accounts. Methodologically, we employed Full-Information Item Factor Analysis in conjunction with the Graded Response Model from Item Response Theory (IRT) to evaluate the measurement instrument items. A set of 22 items was created based on technical characteristics such as interactivity, usability, and information presentation, drawing from existing literature. Subsequently, this instrument was applied to a sample of 313 Instagram business accounts. From this analysis, a final set of 13 items exhibited good psychometric properties and formed the ultimate measurement tool. The generated scale comprises six levels, ranging from very inappropriate to very appropriate, and effectively classifies the quality of digital marketing actions on Instagram business accounts. Interestingly, our findings indicate that a significant portion of the evaluated accounts are still in the early stages of digital marketing maturity, with lower adequacy levels. Many of the examined Instagram accounts have the potential to enhance their strategies for more impact.
UAPT: An Underwater Acoustic Target Recognition Method Based on Pre- trained Transformer
Authors: Tang Jun , Ma Enxue , Qu Yang , Gao Wenbo , zhang Yuchen , Gan Lin 
Published: April 2024

Abstract

The Convolutional Neural Network (CNN) model in underwater acoustic target recognition (UATR) research reveals limitations arising from its inability to capture long-distance dependencies, impeding its capacity to focus on global information within the underwater acoustic signal. In contrast, the Transformer model has progressively emerged as the optimal choice in various studies, owing to its exclusive dependence on the attention mechanism for extracting global features from input data. Limited research utilizing the Transformer model in UATR has relied on an early ViT model, while in this paper, two refined Transformer models, namely Swin Transformer and Biformer, are adopted as the foundational networks, and a novel Swin Biformer model is proposed by harnessing the strengths of the two. Experimental results demonstrate the consistent superiority of the three models over CNN and ViT in UATR, and the Swin Biformer model remarkably attains the highest recognition accuracy of 94.3% evaluated on a dataset con-structed from the Deepship database. At the same time, this paper proposes an UATR method based on pre-trained Transformer, the effectiveness of which is underscored by experimental findings as a recognition accuracy of approximately 97% was achieved on a generalized dataset derived from the Shipsear database. Even with limited data samples and more stringent classification requirements, the method maintains a recognition accuracy of over 90%, all while significantly reducing the training duration.
Un-planned Urban Growth Monitoring from 1991 to 2021 of Aizawl City, North-east India by Multi- Temporal Changes and CA-ANN Model
Authors: Lawmchullova Imanuel , Lalrinawma Jonathan , Rinkimi Lal , Lalngaihawma Joseph , Rao Ch. Udaya Bhaskara , Biswas Brototi 
Published: April 2024

Abstract

Monitoring urban landuse and landcover (LULC) change is a crucial element in developing cities like Aizawl to improve land use planning for future smart cities. The objective of the current study is to analyze the lulc changes of Aizawl city between 1991 and 2021 using multi-date Landsat images and a cellular automata-artificial neural network (CA-ANN) model to predict future scenarios. The present study is highly essential for examining the urban expansion in a vertical hill city and the historical influence of settlement patterns along the edges of hill ranges for proper land use planning. The automatic classification of support vector machines (SVM) in-built at Orfeo tool box (OTB) modules was employed for LULC pattern classification. The land cover change method of the semi-automatic classification plugin (SCP) was used to identify the past LULC using Landsat 4, 5, 7, and 8. The future LULC was stimulated using the machine-learning approaches modules for land use change evaluation (Molusce) plugin in QGIS 2.18. Also, we highlight the factors that influence future LULC changes and the impacts of unplanned hill cities from the results of multi-criteria evaluation (MCE) and analytical hierarchical process (AHP). The study reveals that built-up areas are continuously increasing while open forest, agricultural land, and fallow land are diminishing, even in the projected land use land cover thematic layer in 2031. The built-up area has seen the highest change, from 5.98–25.8% in 1991 to 2021; the rate of increase has been 0.636 km2/yr-1 during the last 30 years. Similarly, dense forest cover also increased from 12.14–18.72% from 1991 to 2021, while other landuse landcover patterns like open forest, fallow land, and agricultural land are declining due to urban expansion. The accuracy level of Kappa coefficients was 97.30% in 1991 and 100% in the years 2001, 2011, and 2021, respectively. This study can help town planners and decision-makers with the protection of greenery and proper town planning.