bluuebunny/crossref_metadata_2025 huggingface dataset:
A quantitative analysis of fidgeting in ADHD and its relation to performance and sustained attention on a cognitive task
Authors: Son Ha Min , Calub Catrina Andaya , Fan Boyang , Dixon J. Faye , Rezaei Shahbaz , Borden Jared , Schweitzer Julie B. , Liu Xin
Published: July 2024

Introduction

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder where hyperactivity often manifests as fidgeting, a non-goal-directed motoric action. Many studies demonstrate fidgeting varies under different conditions as a self-regulating mechanism for attention and alertness during cognitively demanding tasks. Fidgeting has also been associated with reaction time variability. However, a lack of standard variables to define and quantify fidgeting can lead to discrepancies in data and interpretability issues across studies. Furthermore, little is known about fidgeting in adults with ADHD compared to youth. This study aims to design a framework to quantify meaningful fidgeting variables and to apply them to test the relation between fidgeting and performance on a cognitive task, the Flanker, in adults with ADHD.

Method

Our study included 70 adult participants diagnosed with ADHD, aged 18–50 years (30.5 ± 7.2 years). Screening included a structured clinical interview, childhood, current self and current observer ratings of ADHD symptoms. Actigraphy devices were attached to the left wrist and right ankle during completion of a cognitive control, attention task (the Flanker). Laboratory testing was subsequently completed on a single day. The relation between task performance, reaction time variability and fidgeting was examined.

Results and Discussion

Our analysis revealed increased fidgeting during correct trials as defined by our new variables, consistent with previous observations. Furthermore, differences in fidgeting were observed between early and later trials while the percentage of correct trials were not significantly different. This suggests a relation between the role of fidgeting and sustaining attention. Participants with low reaction time variability, that is, those with more consistent reaction times, fidgeted more during later trials. This observation supports the theory that fidgeting aids arousal and improves sustained attention. Finally, a correlation analysis using ADHD-symptom rating scales validated the relevance of the fidget variables in relation to ADHD symptom severity. These findings suggest fidgeting may be a compensatory mechanism that aids in sustained attention for those with ADHD, although alternative explanations exist.

Conclusion

Our study suggests that fidgeting may aid in sustained attention during the attention-demanding, cognitive control processes for adults with ADHD, with more fidgeting observed during correct trials and among participants with lower reaction time variability. Furthermore, the newly defined fidget variables were validated through a significant correlation with ADHD rating scales. By sharing our implementation of fidget variables, we hope to standardize and encourage further quantitative research into the role of fidgeting in ADHD.
Impact of National Centralized Drug Procurement policy on chemical pharmaceutical enterprises’ R&D investment: a difference-in-differences analysis in China
Authors: Li Jiaming , Zhang Xinyue , Wang Rui , Cao Keyao , Wan Luhui , Ren Xu , Ding Jinxi , Li Wei
Published: July 2024

Objective

This study aimed to evaluate the impact of the National Centralized Drug Procurement (NCDP) policy on chemical pharmaceutical enterprises’ R&D investment and provide references for improving NCDP policy design and encouraging innovation in the pharmaceutical industry.

Methods

Using the panel data of 102 Shanghai and Shenzhen A-share listed enterprises from 2016 to 2022 under the chemical pharmaceutical classification of Shenwan in Wind database as the research sample, this study developed difference-in-differences (DID) models on bid-winning and bid-non-winning enterprises, respectively, to evaluate the impact of NCDP policy on their R&D investment. In addition, this study tested the heterogeneity of bid-winning enterprises based on the bid success rate, the decline of drug price, and enterprise size.

Results

The NCDP policy could encourage chemical pharmaceutical companies to increase R&D investment, but the low bid success rate and excessive drug price reduction would reduce their R&D enthusiasm, especially for small- and medium-sized enterprises.

Discussion

It is suggested that the NCDP policy should be further improved: first, revise the bidding rule of the NCDP policy and increase the bid success rate so that more enterprises can win bids, and second, to solve the problem of excessive drug price reduction, evaluate the rationality of bid-winning prices, and introduce a two-way selection mechanism between medical institutions and supply enterprises. Integrate pharmacoeconomic evaluation into the NCDP rules to form a benign competition among enterprises. Third, attention should be paid to supporting policies for small- and medium-sized enterprises. By increasing procurement volume, shortening payment time limits, and increasing the proportion of advance payments, enterprises’ cash flow shortages can be alleviated, thus achieving fairness and inclusiveness in the implementation of the NCDP policy.
Virtual reality guided focused Sylvian approach for clipping unruptured middle cerebral artery aneurysms
Authors: Zhang Rui , Hänggi Daniel , Köskemeier Pia , Muhammad Sajjad
Published: July 2024

Objective

The increasing prevalence of unruptured intracranial aneurysms, detected through advanced brain imaging, necessitates a cautious approach to surgical intervention, with a focus on minimizing associated risks. This retrospective study explores the safety and better aesthetic outcomes of a Virtual Reality (VR) guided Focused Sylvian Approach (FSA) in comparison to the standard Pterional Surgical Approach (SPA) for the clipping of unruptured small-medium-size (<10 mm) Middle Cerebral Artery (MCA) aneurysms.

Methods

23 patients with 23 unruptured MCA aneurysms underwent the VR-guided FSA from June 2020 to September 2023, while 22 patients with 23 unruptured MCA aneurysms who underwent SPA were retrospectively recruited from the medical records database from January 2017 to May 2020. The comparative analysis involved surgical duration, postoperative complications, hospital stay, and a three-month follow-up patient's sequela survey.

Results

All aneurysms were effectively treated. The FSA procedure demonstrated a shorter surgical duration compared to the SPA group (164 ± 48 min vs. 196 ± 133 min, P = 0.2974). Despite a slightly higher median age in the FSA group (59 vs. 56 years), the median hospital stay was shorter in the FSA group (6 days) compared to the SPA group (7 days). The SPA group exhibited a higher incidence of complications (17/23) including cephalalgia, scar irritation, scar numbness, and temporal muscle dysfunction, compared to the FSA group (1/23), with a statistical significance of P < 0.05. Although FSA cannot demonstrate significant surgical efficiency in surgical duration and hospitalization, its superior aesthetics and preservation of temporalis muscle function compared to the SPA group.

Conclusion

The VR-guided FSA offers improved aesthetics and preservation of muscle function compared to the SPA. Our retrospective study underscores the potential benefits of VR-guided, personalized, focused Sylvian approaches for managing unruptured small-medium-size MCA aneurysms.
Evaluation of the immunotoxicity potential of nanomaterials using THP-1 cells
Authors: Nishida Asuka , Sawada Yuka , Arai Rion , Ishibashi Naoki , Suzuo Miho , Ohno Akiko , Ashikaga Takao , Iijima Kazutoshi
Published: July 2024

With the expansion of nanomaterials (NMs) usage, concerns about their toxicity are increasing, and the wide variety of NMs makes it difficult to assess their toxicity. Therefore, the development of a high-throughput, accurate, and certified method to evaluate the immunotoxicity of NMs is required. In this study, we assessed the immunotoxicity potential of various NMs, such as nanoparticles of silver, silica, and titanium dioxide, using the human Cell Line Activation Test (h-CLAT) at the cellular level. After exposure to silver nanoparticle dispersions, the expression levels of CD86 and CD54 increased, suggesting the activation of antigen-presenting cells (APCs) by silver nanoparticles. Quantification of silver ions eluted from silver nanoparticles and the activation of APCs by silver ions suggested that it was due to the release of silver ions. Silica nanoparticles also increased the expression of CD86 and/or CD54, and their activation ability correlated with the synthesis methods and hydrodynamic diameters. The ability of titanium dioxide to activate APCs differed depending on the crystal type and hydrodynamic diameter. These results suggest a potential method to evaluate the immunotoxicity potential of various NMs based on their ability to activate APCs using human monocytic THP-1 cells. This method will be valuable in assessing the immunotoxicity potential and elucidating the immunotoxic mechanisms of NMs.
Traffic Signal Control Optimization Based on Neural Network in the Framework of Model Predictive Control
Authors: Tang Dapeng , Duan Yuzhou
Published: July 2024

To improve the effectiveness of model predictive control (MPC) in dynamic traffic signal control strategies, it has been combined with graph convolutional networks (GCNs) and deep reinforcement learning (DRL) technologies. In this study, a neural-network-based traffic signal control optimization method under the MPC framework is proposed. A dynamic correlation matrix is introduced in the predictive model to adapt to the dynamic changes in correlations between nodes over time. The signal control optimization strategy is solved using DRL, where the agent explores the optimal control strategy based on pre-set constraints in the future road environment. The geometric structure and traffic flow data of a real intersection were selected as the simulation validation environment, and a joint simulation was conducted using Python and SUMO. The experimental results indicate that in low-traffic scenarios, the queue length is reduced by more than 2 vehicles compared to the selected comparison methods; in high-traffic scenarios, the queue length is reduced by an average of 17 vehicles. Under the actual traffic data of the intersection, the average speed is increased by 6.4% compared to the fixed timing method; compared to the inductive signal control method, it increases from 9.76 m/s to 11.69 m/s, an improvement of 19.7%, effectively enhancing the intersection signal control performance.
Physiological, Biochemical, and Ultrastructural Changes in Naturally Aged Sweet Corn Seeds
Authors: Yue Gaohong , Yang Ruichun , Lei Dan , Du Yanchao , Li Yuliang , Feng Faqiang
Published: July 2024

Due to low starch content and poor seed vigor, sweet corn seeds exhibit poor storage stability. Therefore, understanding the physiological and biochemical changes in seeds after natural aging is crucial for assessing seed status and extending the storage period. This study aims to investigate the physiological, biochemical, and ultrastructural changes in aged seeds of different genotypes. An eight-month natural aging experiment was conducted on 10 sweet corn inbred lines. The results showed an obvious decrease in germination potential, germination ratio, germination index, and vigor index after natural aging, and two inbred lines with stronger tolerance to natural aging were identified from the 10 inbred lines studied. In aged seeds, levels of gibberellin, abscisic acid, total protein, total starch, as well as activities of antioxidant enzymes, lipoxygenase, and amylase, and malondialdehyde (MDA) content, exhibited significant differences among inbred lines. Correlation analysis revealed a positive correlation among four seed vigor indices and a highly negative correlation between seed vigor indices and MDA content. Germination ratio, germination index, and vigor index displayed a highly negative correlation with lipoxygenase activity. Furthermore, starch granule decomposition was observed in the endosperm of low-vigor inbred lines, contrary to amylase activity. Thus, this study indicates variations in seed vigor, biochemical indicators, and the ultrastructure of aged sweet corn seeds among different genotypes. Both lower lipoxygenase activity and reduced MDA accumulation contribute to seed resistance to aging.
Deep Simple Epicotyl Morphophysiological Dormancy in Seeds of Endemic Chinese Helleborus thibetanus
Authors: Zhao Xueyan , Wang Fangyuan , Wang Li , Wang Qing , Liu Ancheng , Li Yan
Published: July 2024

Helleborus thibetanus is an endemic species in China with important ornamental and medicinal value. However, the seeds have dormancy, and their germination percentage is low under natural conditions. This research was carried out to determine the seed germination requirements of H. thibetanus and to characterize the type of seed dormancy. The morphological post-ripening process of the seed embryo was studied according to the morphological anatomy, and the effects of temperature and gibberellic acid (GA3) on seed germination were investigated in H. thibetanus. The H. thibetanus seeds had a heart-shaped embryo at maturity. The embryo fully grew within the seed through warm stratification, and the embryo/seed ratio increased from 8.58% to 42.6%. The shortest time for a radicle to emerge (58.33 d) and the highest radicle emergence percentage (84.44%) were obtained at a temperature of 15 °C. The results showed that the H. thibetanus seeds had a morphophysiological dormancy. In addition, 300 mg/L GA3 treatments shortened the time of warm stratification and increased the radicle emergence percentage. Seeds with emerged radicles could not emerge epicotyl–plumule without cold stratification, which showed that the H. thibetanus seeds had epicotyl physiological dormancy. The length of the roots, cold stratification time, and GA3 markedly affected the release of the epicotyl physiological dormancy in H. thibetanus. The seeds with 2.5 cm roots required the shortest time to break their dormancy (50 d), and the epicotyl–plumule emergence percentage was the highest. Additionally, GA3 treatment also shortened the incubation time in cold stratification (5 °C) and successfully broke the epicotyl physiological dormancy. Our study showed that H. thibetanus seeds exhibited deep simple epicotyl morphophysiological dormancy. Temperature, GA3, and duration of stratification played vital roles in the seed germination of H. thibetanus. This research will provide valuable data for seed germination and practical dormancy-breaking techniques and will promote the cultivation and conventional crossbreeding of H. thibetanus.
The Impact of Herders’ Risk Attitudes on Livestock Insurance: Evidence from the Pastoral Areas of Tibetan Plateau
Authors: Guan Shiqi , Zhao Menglin , Han Feng , Tang Zeng
Published: July 2024

In the context of advancing the transformation and upgrading of grassland animal husbandry, encouraging and guiding the widespread adoption of livestock insurance plays an important role in promoting the sustainable development of the livestock industry. This paper explores the impact of herders’ attitudes and perceptions towards climate change risks on their livestock insurance strategies. Firstly, experimental economics methods are employed to measure the risk preferences of herders on the Tibetan Plateau. Secondly, a theoretical model incorporating risk preferences and insurance adoption behavior is constructed. Finally, the effects of herders’ risk preferences on insurance adoption behavior are empirically examined through double-hurdle models, instrumental variable models, and moderating effect models. The results reveal that (1) most herders on the Tibetan Plateau exhibit risk-averse characteristics. (2) The degree of risk preference has a significant negative impact on herders’ insurance adoption behavior, while the risk perception significantly positively influences insurance adoption. The results remain valid even after addressing issues of endogeneity and conducting robustness checks. (3) Livestock income plays a crucial moderating role in the mechanism through which risk attitudes affect insurance adoption behavior. (4) The impact of risk preference on insurance adoption behavior shows regional and income heterogeneity.
Hyperspectral Reflectance-Based High Throughput Phenotyping to Assess Water-Use Efficiency in Cotton
Authors: Beegum Sahila , Hassan Muhammad Adeel , Ramamoorthy Purushothaman , Bheemanahalli Raju , Reddy Krishna N. , Reddy Vangimalla , Reddy Kambham Raja
Published: July 2024

Cotton is a pivotal global commodity underscored by its economic value and widespread use. In the face of climate change, breeding resilient cultivars for variable environmental conditions becomes increasingly essential. However, the process of phenotyping, crucial to breeding programs, is often viewed as a bottleneck due to the inefficiency of traditional, low-throughput methods. To address this limitation, this study utilizes hyperspectral remote sensing, a promising tool for assessing crucial crop traits across forty cotton varieties. The results from this study demonstrated the effectiveness of four vegetation indices (VIs) in evaluating these varieties for water-use efficiency (WUE). The prediction accuracy for WUE through VIs such as the simple ratio water index (SRWI) and normalized difference water index (NDWI) was higher (up to R2 = 0.66), enabling better detection of phenotypic variations (p < 0.05) among the varieties compared to physiological-related traits (from R2 = 0.21 to R2 = 0.42), with high repeatability and a low RMSE. These VIs also showed high Pearson correlations with WUE (up to r = 0.81) and yield-related traits (up to r = 0.63). We also selected high-performing varieties based on the VIs, WUE, and fiber quality traits. This study demonstrated that the hyperspectral-based proximal sensing approach helps rapidly assess the in-season performance of varieties for imperative traits and aids in precise breeding decisions.
Cyclic Electron Flow Alleviates the Stress of Light Fluctuation on Soybean Photosynthesis
Authors: Lei Yi , Gao Jing , Wang Qi , Zeng Weiying , Diwakar Dhungana , Zhang Yaodan , Tan Xianming , Sun Zudong , Yang Feng , Yang Wenyu
Published: July 2024

Crops often face light intensity fluctuations in natural settings. Intercropping is widely used to improve crop yield and resource utilization worldwide, but crops suffer from high-frequency and high-intensity light fluctuations due to mutual crop influence. Soybean is an important legume crop and is often intercropped with other crops, but little is known about soybean’s response to light fluctuation environments. Herein, three fluctuation frequencies (1, 10, and 20 min/cycle) were used to analyze soybean photosynthesis responses by measuring leaf growth, chlorophyll content, gas exchange, and electron transfer. Our data revealed that faster fluctuation frequencies led to the stronger suppression of soybean morphology and photosynthesis, with significant reductions of 31.31% and 21.58%, respectively. Damage to photosystems II (PSII) and I (PSI) also intensified, with significant decreases of 18.52% and 18.38% in their effective quantum yields Y(II) and Y(I). Additionally, increased fluctuation frequency exacerbated the consumption of the plastoquinone pool and linear electron flow but enhanced the cyclic electron flow across the thylakoid membrane and, thus, increased heat dissipation in PSII. Our findings indicate that an increased fluctuation frequency inflicted more severe damage on the soybean photosynthesis system. However, PSI-enhanced CEF improved NPQ and coordinated photoprotection to some extent.
A Two-Year Study of Bioorganic Fertilizer on the Content of Pb and As in Brown Rice and Rice Yield in a Contaminated Paddy Field
Authors: He Huaidong , Zhou Jun , Xiao Anwen , Yan Yehan , Chen Aimin , Han Bangxing
Published: July 2024

Bioorganic fertilizer (BOF) represents favorable potential for agricultural production, but the safe and residual effects of BOF application in heavy-metal-contaminated soils still remain unclear. A two-year field experiment of four rice-growing cycles were conducted to study the effects of the one-time addition of BOF (low and high dosages, 0.45 and 0.9 kg/m2, namely, BOF1 and BOF2, respectively) on the lead (Pb) and arsenic (As) accumulations in brown rice, rice yield, and soil properties in an acidic and Pb-As-contaminated paddy field. The results show that BOF application enhanced the rice yields by 7.9–25.5% and increased the soil pH, organic carbon contents, and fluorescein diacetate hydrolase activity in the former two rice-growing cycles, while these attributes declined gradually and were not significant in the last two cycles. The soil bulk density decreased marginally due to the BOF. Furthermore, the BOF1 treatment barely affected the rice Pb and As concentrations during all cycles, whereas the BOF2 treatment clearly increased the Pb concentrations in brown rice, exceeding the food quality standard limit of 0.2 mg/kg in the last three cycles, and slightly increased the rice As in the former three cycles. The BOF effects on Pb and As in brown rice were due to the changes in the available soil Pb and As, respectively. Our results indicate that a one-time application of BOF could ameliorate the soil conditions of rice growth in two rice-growing cycles, while the high-dose BOF seemed undesirable in toxic-metal-contaminated soils. BOF application at the rate of 0.45 kg/m2 per annum may be a potential strategy for safe rice production in Pb-As-contaminated fields.
Lime Application Reduces Methane Emissions Induced by Pig Manure Substitution from a Double-Cropped Rice Field
Authors: Liu Jinsong , He Yuxuan , Chen Jin , Huang Shan , Sun Yanni
Published: July 2024

The substitution of chemical fertilizers with organic manure plays a critical role in sustainable crop production. Nevertheless, organic amendments promote the global warming potential (GWP) in rice paddies due to increased methane (CH4) emissions. Increasing evidence shows that lime application can reduce CH4 emissions from acidic paddy soils; however, it is still not clear whether liming can reduce the GWP in rice fields under organic manure substitution. A two-year field experiment was conducted to investigate the impacts of pig manure substitution and lime application on grain yield, CH4 and nitrous oxide (N2O) emissions in a subtropical double-cropped rice field in China. The experiment consisted of three treatments: CF (100% chemical nitrogen fertilizer), 1/2N + M (50% of the applied nitrogen substituted by pig manure, M represents manure), and 1/2N + M + L (lime amendment with 50% of the applied nitrogen substituted with pig manure, L represents lime). On average, 1/2N + M reduced rice yield by 5.65% compared to CF, while the lime application had no effect on rice yield. Mean cumulative CH4 emissions were 218.8% higher in 1/2N + M than in CF, whereas 1/2N + M + L reduced CH4 emissions by 36.6% compared to 1/2N + M. Neither pig manure substitution nor lime application affected N2O emissions. Consequently, 1/2N + M increased the GWP and greenhouse gas intensity (GHGI) by 214.6% and 228.3%, respectively, compared to CF. In contrast, 1/2N + M + L reduced the GWP and GHGI by 36.4% and 36.5% compared to 1/2N + M. Lime application can mitigate CH4 emissions and GWP induced by pig manure amendment in double-cropped rice fields.
Antioxidant Performance in Hazelnut (Corylus avellana L.) Cultivars Shell Is Substantially Influenced by Season and Locality
Authors: Gavilán-CuiCui Gabriela , Padilla-Contreras Daniela , Manterola-Barroso Carlos , Morina Filis , Meriño-Gergichevich Cristian
Published: July 2024

Hazelnut (Corylus avellana L.) is of great agroeconomic importance, prized for its nutritional value and antioxidant properties. Its yield and quality may differ due to factors such as season (S), locality (L) and cultivar (C). Our objective was to determine the adaptive behavior of morphological features and antioxidant properties in nuts of the Barcelona and Tonda di Giffoni (TDG) cultivars planted at two localities (Cunco and Perquenco) during three productive seasons (S1, S2 and S3). Barcelona grown in Perquenco in S1 and S3 (less precipitation, more solar radiation) performed better than in Cunco with respect to most morphological nut, kernel and shell features, and the same parameters generally had the same trends for TDG in S2 and S3. Among the seasons at the same localities, the differences between the predominant condition defects for both cultivars were in the decreasing order wrinkled/deformed kernels, double kernels, blank and mold kernels, with about 75% of hazelnuts without defects. In both cultivars, the shell had higher antioxidant properties that increased in S1 and S3 at both localities and were consistently higher than in the kernels. Lipid peroxidation was higher in the kernel than shell in both cultivars and localities for S1 and S3. The results of this study suggest that the different hazelnut cultivar features including physical and chemical components depend on season and locality, which offers important clues for all those interested in the hazelnut industry.
Convolutional Neural Network-Based Estimation of Nitrogen Content in Regenerating Rice Leaves
Authors: Hu Tian , Liu Zhihua , Hu Rong , Tian Mi , Wang Zhiwei , Li Ming , Chen Guanghui
Published: July 2024

Regenerated rice, characterized by single planting and double harvesting, saves labor and costs, significantly contributing to global food security. Hyperspectral imaging technology, which integrates image and spectral data, provides comprehensive, non-destructive, and pollution-free vegetation canopy analysis, making it highly effective for crop nutrient diagnosis. In this study, we selected two varieties of regenerated rice for field trials. Hyperspectral images were captured during key growth stages (flush, grouting, and ripening) of both the first and regenerated seasons. Utilizing a two-dimensional convolutional neural network (2D-CNN) as a deep feature extractor and a fully connected layer for nitrogen content prediction, we developed a robust model suitable for estimating nitrogen content in regenerated rice. The experimental results demonstrate that our method achieves a mean squared error (MSE) of 0.0008, significantly outperforming the back-propagation (BP) network and multiple linear regression by reducing the MSE by 0.0151 and 0.0247, respectively. It also surpasses the one-dimensional convolutional neural network (1D-CNN) by 0.003. This approach ensures accurate nitrogen content prediction throughout the growth cycle of regenerated rice, aiding in yield and economic benefit enhancement.
Effects of Chinese Gallotannins on Antioxidant Function, Intestinal Health, and Gut Flora in Broilers Challenged with Escherichia coli Lipopolysaccharide
Authors: Fu Yuemeng , Yuan Peng , Everaert Nadia , Comer Luke , Jiang Shuzhen , Jiao Ning , Huang Libo , Yuan Xuejun , Yang Weiren , Li Yang
Published: July 2024

This experiment was conducted to study the protective effects of dietary Chinese gallotannins (CGT) supplementation against Escherichia coli lipopolysaccharide (LPS)-induced intestinal injury in broilers. Four hundred and fifty healthy Arbor Acres broilers (one-day-old) were randomly divided into three groups: (1) basal diet (CON group), (2) basal diet with LPS challenge (LPS group), and (3) basal diet supplemented with 300 mg/kg CGT as well as LPS challenge (LPS+CGT group). The experiment lasted for 21 days. Intraperitoneal LPS injections were administered to broilers in the LPS group and the LPS+CGT group on days 17, 19, and 21 of the trial, whereas the CON group received an intraperitoneal injection of 0.9% physiological saline. Blood and intestinal mucosa samples were collected 3 h after the LPS challenge. The results showed that LPS administration induced intestinal inflammation and apoptosis and damaged small intestinal morphology and structure in broilers. However, dietary supplementation with CGT alleviated the deleterious effects on intestinal morphology and barrier integrity caused by the LPS challenge, while also reducing intestinal apoptosis and inflammation, enhancing intestinal antioxidant capacity, and increasing cecal microbial alpha diversity in the LPS-challenged broilers. Therefore, our findings demonstrated that a 300 mg/kg CGT addition could improve intestinal morphology and gut barrier structure, as well as maintaining bacterial homeostasis, in broilers exposed to LPS. This might partially be attributed to the reduced cell apoptosis, decreased inflammatory response, and enhanced antioxidant capacity in the small intestinal mucosa.
Phenotypic Characterization of the Martina Franca Donkey: An Endangered Italian Donkey Breed
Authors: De Berardinis Alberto , Bucci Roberta , De Amicis Ippolito , Del Signore Francesca , Parrillo Salvatore , Massirio Ivano , Vignoli Massimo , Carluccio Augusto
Published: July 2024

The Martina Franca (MF) donkey breed (Equus asinus) primarily inhabits the rural areas surrounding the homonymous municipality, as well as neighboring municipalities in the provinces of Bari and Brindisi, all located in the Apulia region of Italy. The objective of this study was to assess the current phenotype through the evaluation of 27 morphologic measurements. The study was conducted on 73 female and 18 male breeding animals from eight different herds located in central and southern Italy. Statistical analysis was performed in order to demonstrate statistical differences between males and females, as well as sexual dimorphism and uniformity of all measurements in both genders. The results demonstrated that the mean of three parameters used for the evaluation of an MF donkey (height at withers, circumference of thorax, and shin circumference) are highly representative of the population, with minimal dispersion Cv^ = 0.05–0.06 up to a maximum of 10%, as evidenced by relatively low standard deviations across observed measurements in both genders. Regarding sexual dimorphism, a statistically significant difference was found between males and females. This dimorphism is linked to reproductive activity and is useful during gestation. Overall, our findings suggest that the MF donkey phenotype has been largely preserved over time with high uniformity in males, slight inhomogeneity in the female population, and less variability in both genders.
‘Bodhisattva Bodies’: Early Twentieth Century Indian Influences on Modern Japanese Buddhist Art
Authors: Chiu Chao Chi
Published: July 2024

The first decade of the twentieth century marked a turning point for Japanese Buddhism. With the introduction of Western academia, Buddhist scholars began to uncover the history of Buddhism, and through their efforts, they discovered India as the birthplace of Buddhism. As India began to grow in importance for Japanese Buddhist circles, one unexpected area to receive the most influence was Japanese Buddhist art, especially in the representation of human figures. Some artists began to insert Indian female figures into their art, not only to add a sense of exoticism but also to experiment with novel iconographies that might modernize Buddhist art. One example included the combination of Indian and Japanese female traits to create a culturally fluid figure that highlighted the cultural connection between Japan and India. Other artists were more attracted to “Indianizing” the Buddha in paintings to create more historically authentic art, drawing references from both Indian art and observations of local people. In this paper, I highlight how developments in Buddhist studies in Japan led to a re-establishment of Indo–Japanese relationships. Furthermore, I examine how the attraction towards India for Japanese artists motivated them to travel abroad and seek inspiration to modernize Buddhist art in Japan.
A Theory for Interpolation of Metric Spaces
Authors: Sette Robledo Mak’s Miranda , Fernandez Dicesar Lass , da Silva Eduardo Brandani
Published: July 2024

In this work, we develop an interpolation theory for metric spaces inspired by the real method of interpolation. These interpolation spaces preserve Lipschitz operators under certain conditions. We also show that this method, valid in metrics spaces, still holds in normed spaces without any algebraic structure required. Furthermore, this interpolation method for metric spaces when applied to normed spaces is equivalent to the K-method, which has been widely studied in the literature. As an application, we interpolate Fréchet sequence spaces.
Brain Connectivity Dynamics and Mittag–Leffler Synchronization in Asymmetric Complex Networks for a Class of Coupled Nonlinear Fractional-Order Memristive Neural Network System with Coupling Boundary Conditions
Authors: Belmiloudi Aziz
Published: July 2024

This paper investigates the long-time behavior of fractional-order complex memristive neural networks in order to analyze the synchronization of both anatomical and functional brain networks, for predicting therapy response, and ensuring safe diagnostic and treatments of neurological disorder (such as epilepsy, Alzheimer’s disease, or Parkinson’s disease). A new mathematical brain connectivity model, taking into account the memory characteristics of neurons and their past history, the heterogeneity of brain tissue, and the local anisotropy of cell diffusion, is proposed. This developed model, which depends on topology, interactions, and local dynamics, is a set of coupled nonlinear Caputo fractional reaction–diffusion equations, in the shape of a fractional-order ODE coupled with a set of time fractional-order PDEs, interacting via an asymmetric complex network. In order to introduce into the model the connection structure between neurons (or brain regions), the graph theory, in which the discrete Laplacian matrix of the communication graph plays a fundamental role, is considered. The existence of an absorbing set in state spaces for system is discussed, and then the dissipative dynamics result, with absorbing sets, is proved. Finally, some Mittag–Leffler synchronization results are established for this complex memristive neural network under certain threshold values of coupling forces, memristive weight coefficients, and diffusion coefficients.
Strong Consistency of Incomplete Functional Percentile Regression
Authors: Alamari Mohammed B. , Almulhim Fatimah A. , Litimein Ouahiba , Mechab Boubaker
Published: July 2024

This paper analyzes the co-fluctuation between a scalar response random variable and a curve regressor using quantile regression. We focus on the situation wherein the output variable is observed with random missing. For this incomplete functional data situation, we estimate the quantile regression by combining two principal nonparametric methods: the local linearity approach (LLA) and the kernel nearest neighbor (KNN) algorithm. We study the asymptotic properties of the constructed estimator by establishing, under general assumptions, uniform consistency over the number of neighborhoods. This asymptotic result provides good mathematical support for the selection of the optimal neighborhood. We examine the feasibility of the constructed estimator using artificially generated data. Moreover, we apply the quantile regression technique in food quality by predicting the riboflavin quantity in yogurt using spectrometry data.
Assessing RNA-Seq Workflow Methodologies Using Shannon Entropy
Authors: Carels Nicolas
Published: July 2024

RNA-seq faces persistent challenges due to the ongoing, expanding array of data processing workflows, none of which have yet achieved standardization to date. It is imperative to determine which method most effectively preserves biological facts. Here, we used Shannon entropy as a tool for depicting the biological status of a system. Thus, we assessed the measurement of Shannon entropy by several RNA-seq workflow approaches, such as DESeq2 and edgeR, but also by combining nine normalization methods with log2 fold change on paired samples of TCGA RNA-seq representing datasets of 515 patients and spanning 12 different cancer types with 5-year overall survival rates ranging from 20% to 98%. Our analysis revealed that TPM, RLE, and TMM normalization, coupled with a threshold of log2 fold change ≥1, for identifying differentially expressed genes, yielded the best results. We propose that Shannon entropy can serve as an objective metric for refining the optimization of RNA-seq workflows and mRNA sequencing technologies.
Dietary Chitosan Attenuates High-Fat Diet-Induced Oxidative Stress, Apoptosis, and Inflammation in Nile Tilapia (Oreochromis niloticus) through Regulation of Nrf2/Kaep1 and Bcl-2/Bax Pathways
Authors: Rashwan Aya G. , Assar Doaa H. , Salah Abdallah S. , Liu Xiaolu , Al-Hawary Ibrahim I. , Abu-Alghayth Mohammed H. , Salem Shimaa M. R. , Khalil Karim , Hanafy Nemany A. N. , Abdelatty Alaa , Sun Luyang , Elbialy Zizy I.
Published: July 2024

Fatty liver injury is a prevalent condition in most farmed fish, yet the molecular mechanisms underpinning this pathology remain largely elusive. A comprehensive feeding trial spanning eight weeks was conducted to discern the potential of dietary chitosan in mitigating the deleterious effects of a high-fat diet (HFD) while concurrently exploring the underlying mechanism. Growth performance, haemato-biochemical capacity, antioxidant capacity, apoptotic/anti-apoptotic gene expression, inflammatory gene expression, and histopathological changes in the liver, kidney, and intestine were meticulously assessed in Nile tilapia. Six experimental diets were formulated with varying concentrations of chitosan. The first three groups were administered a diet comprising 6% fat with chitosan concentrations of 0%, 5%, and 10% and were designated as F6Ch0, F6Ch5, and F6Ch10, respectively. Conversely, the fourth, fifth, and sixth groups were fed a diet containing 12% fat with chitosan concentrations of 0%, 5%, and 10%, respectively, for 60 days and were termed F12Ch0, F12Ch5, and F12Ch10. The results showed that fish fed an HFD demonstrated enhanced growth rates and a significant accumulation of fat in the perivisceral tissue, accompanied by markedly elevated serum hepatic injury biomarkers and serum lipid levels, along with upregulation of pro-apoptotic and inflammatory markers. In stark contrast, the expression levels of nrf2, sod, gpx, and bcl-2 were notably decreased when compared with the control normal fat group. These observations were accompanied by marked diffuse hepatic steatosis, diffuse tubular damage, and shortened intestinal villi. Intriguingly, chitosan supplementation effectively mitigated the aforementioned findings and alleviated intestinal injury by upregulating the expression of tight junction-related genes. It could be concluded that dietary chitosan alleviates the adverse impacts of an HFD on the liver, kidney, and intestine by modulating the impaired antioxidant defense system, inflammation, and apoptosis through the variation in nrf2 and cox2 signaling pathways.
Prevalence and Diversity of Trypanosoma cruzi in Triatomine Vectors and Their Blood Meal Sources from South Central Texas, USA
Authors: Kilgore Rebecca J. , Guerra Trina , Beck Heather , Villamizar Gomez Andrea , Forstner Michael R. J. , Hahn Dittmar
Published: July 2024

The prevalence of Trypanosoma cruzi was assessed in 117 triatomine insects from central Texas. The qPCR-based results revealed T. cruzi in 59% of the insects (62 adults and eight nymphs), with overall prevalences of T. cruzi of 0% (0/9), 64% (11/17), 58% (10/17), 73% (30/41), and 57% (19/33) for the Bastrop, Caldwell, Gonzales, Guadalupe, and Hays counties, respectively. Analyses of 18S rRNA fragments confirmed T. cuzi in 81% of these samples. Vectors were identified as Triatoma gerstaeckeri (35% of which 65% were positive for T. cruzi), T. sanguisuga (21%, 43% positive), and Paratriatoma leticularia (0.3%, 100% positive). Food sources were recovered from 29% of the insects. Raccoons were 53% of the blood meals (83% positive for T. cruzi), while the remainder came from a variety of sources, including humans (33% positive), house geckos, Eastern woodrats, plain-bellied water snakes (50% positive), hispid cotton rats (0% positive), chickens (100% positive); Asian forest turtles, bison, and pigs (0% positive). The serendipitous detection of blood meal sources at known minimum distances from the collection of the vector insect enabled us to provide several instances where the insect foraging distance was greater than 400 m. These vector foraging distances are novel information that can assist in our understanding of the landscape dynamics for the spread of the pathogen.
Insights into Personalized Care Strategies for Wilms Tumor: A Narrative Literature Review
Authors: Karam Salma , Gebreil Ahmad , Alksas Ahmed , Balaha Hossam Magdy , Khalil Ashraf , Ghazal Mohammed , Contractor Sohail , El-Baz Ayman
Published: July 2024

Wilms tumor (WT), or nephroblastoma, is the predominant renal malignancy in the pediatric population. This narrative review explores the evolution of personalized care strategies for WT, synthesizing critical developments in molecular diagnostics and treatment approaches to enhance patient-specific outcomes. We surveyed recent literature from the last five years, focusing on high-impact research across major databases such as PubMed, Scopus, and Web of Science. Diagnostic advancements, including liquid biopsies and diffusion-weighted MRI, have improved early detection precision. The prognostic significance of genetic markers, particularly WT1 mutations and miRNA profiles, is discussed. Novel predictive tools integrating genetic and clinical data to anticipate disease trajectory and therapy response are explored. Progressive treatment strategies, particularly immunotherapy and targeted agents such as HIF-2α inhibitors and GD2-targeted immunotherapy, are highlighted for their role in personalized treatment protocols, especially for refractory or recurrent WT. This review underscores the necessity for personalized management supported by genetic insights, with improved survival rates for localized disease exceeding 90%. However, knowledge gaps persist in therapies for high-risk patients and strategies to reduce long-term treatment-related morbidity. In conclusion, this narrative review highlights the need for ongoing research, particularly on the long-term outcomes of emerging therapies and integrating multi-omic data to inform clinical decision-making, paving the way for more individualized treatment pathways.
Exploratory Tau PET/CT with [11C]PBB3 in Patients with Suspected Alzheimer’s Disease and Frontotemporal Lobar Degeneration: A Pilot Study on Correlation with PET Imaging and Cerebrospinal Fluid Biomarkers
Authors: Strobel Joachim , Yousefzadeh-Nowshahr Elham , Deininger Katharina , Bohn Karl Peter , von Arnim Christine A. F. , Otto Markus , Solbach Christoph , Anderl-Straub Sarah , Polivka Dörte , Fissler Patrick , Glatting Gerhard , Riepe Matthias W. , Higuchi Makoto , Beer Ambros J. , Ludolph Albert , Winter Gordon
Published: July 2024

Accurately diagnosing Alzheimer’s disease (AD) and frontotemporal lobar degeneration (FTLD) is challenging due to overlapping symptoms and limitations of current imaging methods. This study investigates the use of [11C]PBB3 PET/CT imaging to visualize tau pathology and improve diagnostic accuracy. Given diagnostic challenges with symptoms and conventional imaging, [11C]PBB3 PET/CT’s potential to enhance accuracy was investigated by correlating tau pathology with cerebrospinal fluid (CSF) biomarkers, positron emission tomography (PET), computed tomography (CT), amyloid-beta, and Mini-Mental State Examination (MMSE). We conducted [11C]PBB3 PET/CT imaging on 24 patients with suspected AD or FTLD, alongside [11C]PiB PET/CT (13 patients) and [18F]FDG PET/CT (15 patients). Visual and quantitative assessments of [11C]PBB3 uptake using standardized uptake value ratios (SUV-Rs) and correlation analyses with clinical assessments were performed. The scans revealed distinct tau accumulation patterns; 13 patients had no or faint uptake (PBB3-negative) and 11 had moderate to pronounced uptake (PBB3-positive). Significant inverse correlations were found between [11C]PBB3 SUV-Rs and MMSE scores, but not with CSF-tau or CSF-amyloid-beta levels. Here, we show that [11C]PBB3 PET/CT imaging can reveal distinct tau accumulation patterns and correlate these with cognitive impairment in neurodegenerative diseases. Our study demonstrates the potential of [11C]PBB3-PET imaging for visualizing tau pathology and assessing disease severity, offering a promising tool for enhancing diagnostic accuracy in AD and FTLD. Further research is essential to validate these findings and refine the use of tau-specific PET imaging in clinical practice, ultimately improving patient care and treatment outcomes.
Research on Predicting the Safety Factor of Plain Shotcrete Support in Laneways Based on BO-CatBoost Model
Authors: Yuan Haiping , Ji Shuaijie , Zhu Chuanqi , Wang Lei
Published: July 2024

In general, the design of a safe and rational laneway support scheme signifies a crucial prerequisite for ensuring the security and efficiency of mining exploitation in mines. Nevertheless, the conventional empirical support system for mining laneways faces challenges in assessing the rationality of support methods, which can compromise the safety and reliability of the laneways. To address this issue, the safety factor was incorporated into research on laneway support, and a safety evaluation method for laneway support in line with the safety factor was established. In light of the data from a specific iron mine laneway in central China, the CRITIC method was employed to preprocess the sample data. Going one step further, a Bayesian algorithm was utilized to optimize the hyperparameters of the CatBoost model, followed by proposing a prediction model based on the BO-CatBoost model for evaluating laneway safety factors of plain shotcrete support. Furthermore, the performance indexes, such as the root mean square error (RMSE), the mean absolute error (MAE), the correlation coefficient (R2), the variance accounts for (VAF), and the a-20 index, were determined to examine the predictive performance of each proposed model. In contrast to the other models, the BO-CatBoost model demonstrated the optimal predictive output item for safety factors with the lowest RMSE and MAE, the largest R2 and VAF, and an appropriate a-20 index value of 0.5688, 0.4074, 0.9553, 95.25%, and 0.9167 in the test set, respectively. Therefore, the BO-CatBoost model was proven to be the most appropriate machine learning method that can more accurately predict the safety factor, which will provide a novel approach for optimizing laneway support design and laneway safety evaluation.