bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of pharmacological and pharmacokinetic herb-drug interaction between irinotecan hydrochloride injection and Kangai injection in colorectal tumor-bearing mice and healthy rats
Authors: Chen Yanfei , Hu Zhaoliang , Jiang Jing , Liu Chenxi , Gao Shuxiao , Song Min , Hang Taijun
Published: November 2023

Introduction: Kangai (KA) injection, a Chinese herbal injection, is often used in combination with irinotecan (CPT-11) to enhance the effectiveness of anti-colorectal cancer treatment and alleviate side effects. However, the combined administration of this herb-drug pair remains controversial due to limited pre-clinical evidence and safety concerns. This study aimed to determine the pre-clinical herb-drug interactions between CPT-11 and KA injection to provide a reference for their clinical co-administration.

Methods: In the pharmacological study, BALB/c mice with CT26 colorectal tumors were divided into four groups and treated with vehicle alone (0.9% saline), CPT-11 injection (100 mg/kg), KA injection (10 mL/kg), or a combination of CPT-11 and KA injection, respectively. The tumor volume of mice was monitored daily to evaluate the therapeutic effect. Daily body weight, survival rate, hematopoietic toxicity, immune organ indices, and gut toxicity were analyzed to study the adverse effects. Healthy Sprague-Dawley rats in the pharmacokinetic study were administered KA injection only (4 mL/kg), or a combination of CPT-11 injection (20 mg/kg) and KA injection, respectively. Six key components of KA injection (oxymatrine, matrine, ginsenoside Rb1, Rg1, Re, and astragaloside IV) in rat plasma samples collected within 24 h after administration were determined by LC-MS/MS.

Results: The pharmacological study indicated that KA injection has the potential to enhance the anti-colorectal cancer efficacy of CPT-11 injection and alleviate the severe weight loss induced by CPT-11 injection in tumor-bearing mice. The pharmacokinetic study revealed that co-administration resulted in inhibition of oxymatrine metabolism in rats, evidenced by the significantly reduced Cmax and AUC0-t of its metabolite, matrine (p < 0.05), from 2.23 ± 0.24 to 1.38 ± 0.12 μg/mL and 8.29 ± 1.34 to 5.30 ± 0.79 μg h/mL, respectively. However, due to the similar efficacy of oxymatrine and matrine, this may not compromise the anti-cancer effect of this herb-drug pair.

Discussion: This study clarified the pre-clinical pharmacology and pharmacokinetic benefits and risks of the CPT-11-KA combination and provided a reference for their clinical co-administration.
A boundary enhancement and pixel alignment based smoke segmentation network
Authors: Zhou Fangrong , Wen Gang , Pan Hao , Wang Yifan , Wang Guiqian , Yuan Feiniu
Published: November 2023

Image segmentation methods usually fuse shallow and deep features to locate object boundaries, but it is difficult to improve the accuracy of smoke segmentation by conventional fusion methods. It is a very difficult vision task to perform semantic segmentation of smoke images, because the translucency and irregular shapes of smoke lead to extremely complicated mixtures with background that are adverse to segmentation. To improve the segmentation accuracy of smoke scenes, we propose a Boundary Enhancement and Pixel Alignment based smoke segmentation Network for fire alarms. For the shallow features of the network, an attention mechanism is adopted to capture spatially details of smoke for improving boundary precision. For the deep layers, the Pyramid Pooling Module is used to extract local features and abstract semantic ones simultaneously. Finally, to efficiently merge shallow and deep features, a Pixel Alignment Module is adopted to model the relationship between pixel locations. The experimental results show that the mean Intersection over Union of the proposed method on the three synthetic smoke test datasets is 78.61%, 77.63% and 77.30%, respectively, and it outperforms most of the existing methods. In addition, our method obtains satisfying results on inconspicuous smoke and smoke-like images.
Layered metal-organic chalcogenide thin films for flexible and large-area X-ray direct detection
Authors: Fratelli Ilaria , Maserati Lorenzo , Basiricò Laura , Galeazzi Alessandro , Passarella Bianca , Ciavatti Andrea , Caironi Mario , Fraboni Beatrice
Published: November 2023

X-ray detection for personal dosimetry requires sensitive, stable and non-toxic materials. At the same time, scalability onto large-area and flexible substrates is emerging as a desirable property. To satisfy these requirements, novel materials to be employed as the active layer of direct X-ray detectors are needed. In this search for easy-processability, large area, efficient and non-toxic materials for direct X-ray detection, we assess the performance of a layered metal-organic chalcogenide [AgSePh]∞, recently proposed as representative of a novel excitonic semiconductors platform. Here we demonstrate that [AgSePh]∞ can be successfully applied as direct ionizing radiation detecting layer, reaching sensitivities up to (180 ± 10) μC Gy−1 cm−2 and competitive limit of detection down to (100 ± 30) nGy s−1. Moreover, it offers good stability and reproducibility of detection after 100 Gy of irradiation and upon bending to a curvature radius of 5 mm.
Research progress on the development of pennycress (Thlaspi arvense L.) as a new seed oil crop: a review
Authors: Ma Jianyu , Wang Haoyu , Zhang Yuhong
Published: November 2023

Compared with other crops, pennycress (Thlaspi arvense L.) is a niche emerging oil crop. In recent years, research on pennycress has been increasingly reflected in various directions. Pennycress belongs to the Brassicaceae family and was introduced from Eurasia to North America. It has been found worldwide as a cultivated plant and weed. In this paper, we review the advantages of pennycress as a supplementary model plant of Arabidopsis thaliana, oil and protein extraction technology, seed composition analysis based on metabolomics, germplasm resource development, growth, and ecological impact research, abiotic stress, fatty acid extraction optimization strategy, and other aspects of studies over recent years. The main research directions proposed for the future are as follows: (1) assemble the genome of pennycress to complete its entire genome data, (2) optimize the extraction process of pennycress as biodiesel, (3) analyze the molecular mechanism of the fatty acid synthesis pathway in pennycress, and (4) the functions of key genes corresponding to various adversity conditions of pennycress.
Evaluation of the deposition and distribution of spray droplets in citrus orchards by plant protection drones
Authors: Yan Yu , Lan Yubin , Wang Guobin , Hussain Mujahid , Wang Huizheng , Yu Xiaoqing , Shan Changfeng , Wang Baoju , Song Cancan
Published: November 2023

Plant protection drone spraying technology is widely used to prevent and control crop diseases and pests due to its advantages of being unaffected by crop growth patterns and terrain restrictions, high operational efficiency, and low labor requirements. The operational parameters of plant protection drones significantly impact the distribution of spray droplets, thereby affecting pesticide utilization. In this study, a field experiment was conducted to determine the working modes of two representative plant protection drones and an electric backpack sprayer as a control to explore the characteristics of droplet deposition with different spray volumes in the citrus canopy. The results showed that the spraying volume significantly affected the number of droplets and the spray coverage. The number of droplets and the spray coverage area on the leaf surface were significantly increased by increasing the spray volume from 60 L/ha to 120 L/ha in plant protection drones. Particularly for the DJI T30, the mid-lower canopy showed a spray coverage increase of 52.5%. The droplet density demonstrated the most significant variations in the lower inner canopy, ranging from 18.7 droplets/cm2 to 41.7 droplets/cm2 by XAG V40. From the deposition distribution on fruit trees, the plant protection drones exhibit good penetration ability, as the droplets can achieve a relatively even distribution in different canopy layers of citrus trees. The droplet distribution uniformity inside the canopy is similar for XAG V40 and DJI T30, with a variation coefficient of approximately 50%-100%. Compared to the plant protection drones, the knapsack electric sprayer is suitable for pest and disease control in the mid-lower canopy, but they face challenges of insufficient deposition capability in the upper canopy and overall poor spray uniformity. The distribution of deposition determined in this study provides data support for the selection of spraying agents for fruit trees by plant protection drones and for the control of different pests and diseases.
Examining resilience in Singapore in the face of COVID-19 community restrictions
Authors: Chan Alyssa Yenyi , Tan Chuen Seng , Chan Felicia Jia Hui , Soh Alexius Matthias Sheng En , Chen Mark I-Cheng , Hildon Zoe Jane-Lara
Published: November 2023

Introduction

To curb transmission of COVID-19, Singapore has experienced multiple, ongoing community restrictions. Gaining the ability to adapt and thrive under pressure will be key to addressing effects of these restrictions on mental health. To inform this, we examine the following research questions, (1) What typifies adversity related to living with on–off COVID-19 restrictions? (2) Who are the resilient? (3) How are negative effects of adversity attenuated?

Methods

Participants were a part of the Strengthening Our Community’s Resilience Against Threats from Emerging Infections (SOCRATES) cohort, invited to participate in this survey either via email or text message. Using the community survey data (N = 1,364), analyses including Wilcoxon rank sum test and logistic regression were conducted.

Results

Adversities are identified as circumstances associated with a significant increase in Hospital Anxiety and Depression Scale (HADS) scores. These are typified by having financial worries; experiencing heightened emotions and frequent crying; having “out of body” experiences; having to move frequently or not being able to settle into accommodation; and regularly feeling mistreated by someone close to you. Being resilient in the face of adversity was determined by HADS scores for depression and anxiety (dichotomized at the median) and characterized by overall better social relationships such as having harmonious living situations and solution-driven coping strategies, especially the ability to harness the belief that difficult situations can lead to growth.

Discussion

In accordance with the Loads-Levers-Lifts model, results indicate that initiatives that increase access to identified protection, while minimizing exposure to known adversities where possible, will promote resilience under COVID-19 restrictions.
Investigating the relationship between hepatitis B virus infection and postpartum depression in Chinese women: a retrospective cohort study
Authors: Huang Wei , Wu Xiaoli , Yao Zhenzhen , Gu Yingping , Lai Xin , Meng Liping , Peng Songxu
Published: November 2023

Background

Postpartum depression (PPD) is associated with several psychological and obstetric factors. Hepatitis B virus (HBV) infection has been linked with a high risk of depression, but little is known about the relationship between maternal HBV infection and PPD. We aimed to investigate the association between HBV infection and PPD.

Methods

This retrospective cohort study included 3,808 mothers who gave birth in a hospital in southern China. Self-reported Edinburgh Postnatal Depression Scale (EPDS) was used to assess PPD. Multivariate logistic regression was used to determine whether maternal HBV infection was associated with PPD risk.

Results

Of the 3,808 participants, 11.9% of mothers had PPD at 6 weeks postpartum. Two hundred and seventy-eight (7.3%) and 3,530 (92.7%) were in the HBV and control groups, respectively. Women with HBV infection were more likely to test positive for PPD (14.7 vs.11.7%). The multivariate logistic regression analysis showed that HBV-infected women did not have a significantly higher incidence of PPD (OR = 1.23; 95% CI, 0.82–1.84) than those without HBV infection in the study cohort. Parity and postpartum hemorrhage were found to be associated with PPD. In addition, our study showed that e antigen positivity was not associated with PPD risk (OR = 0.56, 95% CI 0.19–1.63).

Conclusions

To our knowledge, this is the first investigation of the relationship between maternal HBV infection and PPD. In a cohort of women without prior history or family history of mental illness, having HBV infection was not significantly associated with self-reporting of PPD compared to not having HBV infection.
Prevalence of stunting among under-five children in refugee and internally displaced communities: a systematic review and meta-analysis
Authors: Choudhary Priyanka , Padhi Bijaya K. , Mital Amit Kumar , Gandhi Aravind P. , Mishra Sanjeeb Kumar , Suri Neha , Baral Sudhansu Sekhar , Satapathy Prakasini , Shamim Muhammad Aaqib , Thangavelu Lakshmi , Rustagi Sarvesh , Sah Ranjit , Khatib Mahalaqua Nazli , Gaidhane Shilpa , Zahiruddin Quazi Syed , Abd-Alrazaq Alaa , Abu Serhan Hashem
Published: November 2023

Background

A pooled estimate of stunting prevalence in refugee and internally displaced under-five children can help quantify the problem and focus on the nutritional needs of these marginalized groups. We aimed to assess the pooled prevalence of stunting in refugees and internally displaced under-five children from different parts of the globe.

Methods

In this systematic review and meta-analysis, seven databases (Cochrane, EBSCOHost, EMBASE, ProQuest, PubMed, Scopus, and Web of Science) along with “preprint servers” were searched systematically from the earliest available date to 14 February 2023. Refugee and internally displaced (IDP) under-five children were included, and study quality was assessed using “National Heart, Lung, and Blood Institute (NHLBI)” tools.

Results

A total of 776 abstracts (PubMed = 208, Scopus = 192, Cochrane = 1, Web of Science = 27, Embase = 8, EBSCOHost = 123, ProQuest = 5, Google Scholar = 209, and Preprints = 3) were retrieved, duplicates removed, and screened, among which 30 studies were found eligible for qualitative and quantitative synthesis. The pooled prevalence of stunting was 26% [95% confidence interval (CI): 21–31]. Heterogeneity was high (I2 = 99%, p < 0.01). A subgroup analysis of the type of study subjects revealed a pooled stunting prevalence of 37% (95% CI: 23–53) in internally displaced populations and 22% (95% CI: 18–28) among refugee children. Based on geographical distribution, the stunting was 32% (95% CI: 24–40) in the African region, 34% (95% CI: 24–46) in the South-East Asian region, and 14% (95% CI: 11–19) in Eastern Mediterranean region.

Conclusion

The stunting rate is more in the internally displaced population than the refugee population and more in the South-East Asian and African regions. Our recommendation is to conduct further research to evaluate the determinants of undernutrition among under-five children of refugees and internally displaced populations from different regions so that international organizations and responsible stakeholders of that region can take effective remedial actions.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=387156, PROSPERO [CRD42023387156].
A comparative analysis of reinforcement learning algorithms for earth-observing satellite scheduling
Authors: Herrmann Adam , Schaub Hanspeter
Published: November 2023

Deep reinforcement learning (DRL) has shown promise for spacecraft planning and scheduling due to the lack of constraints on model representation, the ability of trained policies to achieve optimal performance with respect to a reward function, and fast execution times of the policies after training. Past work investigates various problem formulations, algorithms, and safety methodologies, but a comprehensive comparison between different DRL methods and problem formulations has not been performed for spacecraft scheduling problems. This work formulates two Earth-observing satellite (EOS) scheduling problems with resource constraints regarding power, reaction wheel speeds, and on-board data storage. The environments provide both simple and complex scheduling challenges for benchmarking DRL performance. Policy gradient and value-based reinforcement learning algorithms are trained for each environment and are compared on the basis of performance, performance variance between different seeds, and wall clock time. Advantage actor-critic (A2C), deep Q-networks (DQN), proximal policy optimization (PPO), shielded proximal policy optimization (SPPO) and a Monte Carlo tree search based training-pipeline (MCTS-Train) are applied to each EOS scheduling problem. Hyperparameter tuning is performed for each method, and the best performing hyperparameters are selected for comparison. Each DRL algorithm is also compared to a genetic algorithm, which provides a point of comparison outside the field of DRL. PPO and SPPO are shown to be the most stable algorithms, converging quickly to high-performing policies between different experiments. A2C and DQN are typically able to produce high-performing policies, but with relatively high variance across the selected hyperparameters. MCTS-Train is capable of producing high-performing policies for most problems, but struggles when long planning horizons are utilized. The results of this work provide a basis for selecting reinforcement learning algorithms for spacecraft planning and scheduling problems. The algorithms and environments used in this work are provided in a Python package called bsk_rl to facilitate future research in this area.
Older adults exhibit declines in instrumental activities of daily living during a virtual grocery shopping task
Authors: Lewis Morgan McGrath , Waltz Colin , Scelina Kathryn , Scelina Logan , Owen Kelsey , Hastilow Karissa , Miller Koop Mandy , Rosenfeldt Anson B. , Alberts Jay L.
Published: November 2023

Introduction: The successful performance of instrumental activities of daily living (IADLs) is critical in maintaining independence for older adults. Traditional IADL questionnaires and performance-based assessments are time consuming, potentially unreliable, and fail to adequately consider the interplay between cognitive and motor performance in completing IADLs. The Cleveland Clinic Virtual Reality Shopping (CC-VRS) platform was developed to objectively quantify IADL performance through the characterization of cognitive, motor, and cognitive-motor function. The CC-VRS combines an immersive virtual grocery store with an omnidirectional treadmill to create a scenario in which the user physically navigates through a virtual environment. The primary aim of this project was to determine the known-group validity of the CC-VRS platform to characterize IADL performance in healthy older adults and young adults.

Methods: Twenty healthy young (n = 10) and older (n = 10) adults completed the Basic and Complex CC-VRS scenarios. Position data from VR trackers on the hands, waist, and feet were used to quantify motor performance. Cognitive and dual-task performance were automatically calculated by the application during specific shopping sub-tasks.

Results: Older adults exhibited significantly worse performance on multiple cognitive, motor, and dual-task outcomes of the CC-VRS (e. g., average walking speed, number of list activations, and stopping frequency).

Discussion: The CC-VRS successfully discriminated IADL performance between young and healthy older adults. The complex realistic environment of the CC-VRS, combined with simultaneous evaluation of motor and cognitive performance, has the potential to more accurately characterize IADL performance by identifying subtle functional deficits that may precede neurological disease.
Acute phase proteins and IP-10 in plasma for tuberculosis diagnosis
Authors: Molina-Moya Bárbara , Villar-Hernández Raquel , Ciobanu Nelly , Muriel-Moreno Beatriz , Lacoma Alicia , Codreanu Alexandru , Latorre Irene , Smalchuk Daria , Prat-Aymerich Cristina , Crudu Valeriu , Kontogianni Konstantina , Cuevas Luis E. , Domínguez José
Published: November 2023

Background

Tuberculosis (TB) is a leading cause of death from a single infectious agent, and triage tests based on biomarkers may help to improve the diagnosis. This study aims to determine whether C-reactive protein (CRP), interferon-γ-inducible protein 10 (IP-10), α1-acid glycoprotein (AGP), and α1-anti-trypsin (AAT) could be useful for a screening test in patients with presumptive TB disease.

Methods

CRP, IP-10, AGP, and AAT were measured in plasma samples from 277 patients with presumptive TB disease in the Republic of Moldova in a prospective study.

Results

In general, the levels of all the biomarkers were higher in patients with TB than in the other groups (p < 0.05). Receiver operating characteristic curve analyses showed an area under the curve lower than 0.7 for all the biomarkers, and low correlations (Spearman's r < 0.6) were found between biomarkers.

Conclusion

The levels of the tested biomarkers were different throughout the patient groups studied, but their suboptimal diagnostic performance either as individual biomarkers or in combination does not favor their use for triage testing.
Pharmacokinetics of cannabidiol-/cannabidiolic acid-rich hemp oil in juvenile cynomolgus macaques (Macaca fascicularis)
Authors: Johns Tinika N. , Wakshlag Joseph J. , Lyubimov Alexander V. , Zakharov Alexander , Burnside Wesley M.
Published: November 2023

Introduction

Cannabinoids are increasingly popular in human and veterinary medicine and have been studied as an alternative treatment for a wide range of disorders. The goal of this study was to perform a pharmacokinetic analysis of oral cannabidiol (CBD)-/cannabidiolic acid (CBDA)-rich hemp oil (CBD/ArHO) in juvenile cynomolgus macaques (Macaca fascicularis).

Methods

After a 2 mg/kg CBD/ArHO pilot study, 4 and 8 mg/kg direct-to-mouth CBD/ArHO were administered (n = 4 per dose) once daily for 14 days and blood was collected at 0-, 0.5-, 1-, 2-, 4-, 8-, 12-, and 24-h, and on Days 7 and 14, to quantify serum cannabinoid concentrations by high-performance liquid chromatography–tandem mass spectrometry. Serum biochemistries and complete blood counts were performed on Days 0, 1, and 14.

Results

The maximum mean serum concentration (Cmax) of CBDA was 28.6–36.2 times that of CBD at 4 and 8 mg/kg. At 8 mg/kg, the Cmax of CBD was 1.4 times higher (p = 0.0721), and CBDA was significantly 1.8 times higher (p = 0.0361), than at 4 mg/kg. The maximum mean serum concentration of ∆9-tetrahydrocannabinol (THC) was 4.80 ng/mL at 8 mg/kg. Changes in serum biochemistries and complete blood counts over time were not clinically significant.

Discussion

Given the low serum CBD concentrations, the doses and frequency used in this study may be insufficient for a therapeutic effect of CBD in particular; therefore, clinical studies are needed to determine the therapeutic dose of CBD and CBDA for macaques, which may differ based on the disorder targeted.
Research Progress and Analysis on Comprehensive Utilization of Livestock and Poultry Biogas Slurry as Agricultural Resources
Authors: Jiang Yue , Zhang Yue , Li Hong
Published: November 2023

Anaerobic fermentation of organic waste, such as livestock manure, in biogas projects is an environmentally friendly and effective treatment method. The resulting biogas, mainly composed of methane, is a combustible gas with energy properties, while the digestate, containing nutrients such as nitrogen (N), phosphorus (P), potassium (K), and other organic matter, can be used for agricultural irrigation. This article analyzes the current situation of resource utilization of livestock manure in various countries and the progress of biogas projects. It introduces the process, composition, and commonly used filtration methods before applying the digestate to farmland. The summary focuses on the improvement of crop quality, enhancement of soil fertility and the risks of pollution, and environmental hazards associated with the utilization of biogas slurry. The limitations and corresponding solutions for the agricultural utilization of livestock digestate are discussed, and recommendations are made for the technology of digestate irrigation and application to farmland.
Comparative Study of Small-RNA and Degradome Sequencing Reveals Role of Novel stu-miR8006 in Regulating Root Development in Solanum tuberosum L.
Authors: Duan Xiaoqin , Yang Jiangwei , Zhang Feiyan , Han Yuwen , Gong Yating , Liu Mei , Zhang Ning , Si Huaijun
Published: November 2023

MicroRNAs are a class of endogenous, non-coding, small-RNA molecules with important functions in plant development and stress response processes. Root systems are important because they allow plants to absorb nutrients and water from the soil and are fundamental for anchoring the plant and responding to environmental signals. However, the roles of miRNAs underlying root development remain poorly investigated in potato. In this research, small-RNA sequencing was performed to thoroughly detect underlying miRNAs and their roles in regulating root development between the early root (ER) stage and the mature root (MR) stage of potato roots. A total of 203 known and 137 novel miRNAs were obtained, and 64 differentially expressed miRNAs (DEMs) were identified between the ER and MR stages. The expression patterns of 12 DEMs were also determined via qRT-PCR. In addition, a mixed degradome library was constructed from the ER and the MR stages to identify the targets of the identified miRNAs, and 2400 target genes were verified to be the targets of 131 miRNAs. Based on target annotation, we identified that nine target genes of six DEMs were probably involved in potato root development, and eight targets of six DEMs were validated via 5’-RLM-RACE assays. These targets may participate in root development by regulating cell proliferation, root cultures (PGSC0003DMT400013837), root meristem growth (PGSC0003DMT400079970), root morphogenesis (PGSC0003DMT400040282), post-embryonic root development (PGSC0003DMT400021612), root hair elongation (PGSC0003DMT400034518), cell wall repair (PGSC0003DMT400074930), and auxin polar transport (PGSC0003DMT400079970), and by negatively regulating cell proliferation (PGSC0003DMT400009997) and cell growth (PGSC0003DMT400003464). The qRT-PCR analysis indicated that most miRNAs have opposing expression patterns to their targets. It is widely accepted that potato root development is regulated by miRNAs, among which stu-miR8006-p5-1ss9AT is substantially down-regulated during root development. We show here that the suppression of stu-miR8006-p5-1ss9AT led to an alteration in the potato root architecture and that it targeted auxin induction in the root culture protein 12-encoding gene that is potentially involved in the regulation of root development. In addition, the suppression of stu-miR8006-p5-1ss9AT led to a significant alteration in the potato root architecture. Altogether, our results might provide some useful insights into stu-miR8006-p5-1ss9AT and the crucial role that it plays in potato root development; they could also facilitate the molecular genetic breeding of potato.
Automated Grading of Red Ginseng Using DenseNet121 and Image Preprocessing Techniques
Authors: Kim Minhyun , Kim Jiyoon , Kim Jung Soo , Lim Jeong-Ho , Moon Kwang-Deog
Published: November 2023

Red ginseng is a steamed and dried ginseng that has more functional properties and a longer shelf-life. Red ginseng is graded by appearance and inner quality. However, this conventional process has a high cost in terms of time and human resources, and has the disadvantage of subjective assessment results. Therefore, the convolutional neural network (CNN) method was proposed to automate the grading process of red ginseng and optimize the preprocessing method, select an accurate and efficient deep learning model, and to explore the feasibility of rating discrimination solely based on external quality information, without considering internal quality characteristics. In this study, the effect of five distinct preprocessing methods, including RGB, binary, gray, contrast-limited adaptive histogram equalization (CLAHE), and Gaussian blur, on the rating accuracy of red ginseng images was investigated. Furthermore, a comparative analysis was conducted on the performance of four different models, consisting of one CNN model and three transfer learning models, which were VGG19, MobileNet, and DenseNet121. Among them, DenseNet121 with CLAHE preprocessing reported the best performance; its accuracy in the Dataset 2 test set was 95.11%. This finding suggests that deep learning techniques can provide an objective and efficient solution for the grading process of red ginseng without an inner quality inspection.
Combining a Genome-Wide Association Study and Gene-Based Haplotype Analysis to Identify Candidate Genes for Cold Tolerance at the Bud Burst Stage in Rice (Oryza sativa L.)
Authors: Chen Wenqiang , Li Pingping , Zhang Guogen , Chen Kai , Li Zhixin , Xu Jianlong
Published: November 2023

As a temperature-loving crop, rice is sensitive to low temperatures. With the popularization of direct-seeded rice, cold tolerance (CT) at the bud burst stage has become an important breeding goal. Here, we evaluated CT for 513 rice accessions at the bud burst stage. A total of 13 QTLs were detected by genome-wide association analysis using the severity of damage (SD) and survival rate of seedlings (SR) as indicators of CT. Based on analyses of LD blocks, GO enrichment, gene expression and haplotype, we identified five genes, LOC_Os01g35184, LOC_Os01g56150, LOC_Os01g73410, LOC_Os02g36740, and LOC_Os09g28180, as the most likely candidates for qSD1-1, qSD1-4, qSD1-5, qSD2-1, and qSR9-1, respectively, for CT. The accumulative effects of favorable haplotypes for the above five most likely candidate genes played an important role in the improvement of the CT of rice cultivars. Hence, this study has furnished valuable insights for advancing gene cloning and pyramiding breeding, aiming to enhance cold tolerance during the bud burst stage in rice.
Single-Molecule Real-Time Sequencing for Identifying Sexual-Dimorphism-Related Transcriptomes and Genes in the Chinese Soft-Shelled Turtle (Pelodiscus sinensis)
Authors: Zhou Tong , Chen Guobin , Cao Jizeng , Wang Jiahui , Zou Guiwei , Liang Hongwei
Published: November 2023

The Chinese soft-shelled turtle (Pelodiscus sinensis), an economically important aquatic species in China, displays considerable sexual dimorphism: the male P. sinensis is larger and, thus, more popular in the market. In this study, we obtained the full-length (FL) transcriptome data of P. sinensis by using Pacific Biosciences (PacBio)’s isoform sequencing and analyzed the transcriptome structure. In total, 1,536,849 high-quality FL transcripts were obtained through single-molecule real-time (SMRT) sequencing, which were then corrected using Illumina sequencing data. Next, 89,666 nonredundant FL transcripts were generated after mapping to the reference genome of P. sinensis; 291 fusion genes and 17,366 novel isoforms were successfully annotated using data from the nonredundant protein sequence database (NR), eukaryotic orthology groups (KOG), the Gene Ontology (GO) project, and the KEGG Orthology (KO) database. Additionally, 19,324 alternative polyadenylation sites, 101,625 alternative splicing events, 12,392 long noncoding RNAs, and 5916 transcription factors were identified. Smad4, Wif1, and 17-β-hsd were identified as female-biased genes, while Nkd2 and Prp18 held a higher expression level in males than females. In summary, we found differences between male and female P. sinensis individuals in AS, lncRNA, genes, and transcripts, which relate to the Wnt pathway, oocyte meiosis, and the TGF-β pathway. Female-biased genes such as Smad4, Wif1, and 17-β-hsd and male-biased genes such as Nkd2 and Prp18 played important roles in the sex determination of P. sinensis. FL transcripts are a precious resource for characterizing the transcriptome of P. sinensis, laying the foundation for further research on the sex-determination mechanisms of P. sinensis.
Evaluation of the Application Value of Cottonseed Protein Concentrate as a Feed Protein Source in Broiler Chickens
Authors: Chen Xing , Zhao Manqi , Zheng Aijuan , Purba Adanan , Chen Zhimin , Qiu Kai , Wang Zedong , Chang Wenhuan , Cai Huiyi , Liu Guohua
Published: November 2023

Cottonseed protein concentrate (CPC) has the function of replacing soybean meal to maintain normal animal growth and development. This study involved 180 Arbor Acres (AA) broilers, which were randomly assigned to three different treatments. Each treatment had six replicates, with each replicate consisting of 10 chicks. The control group was fed a basal diet, while the CPC-1 and CPC-2 groups used CPC to replace 25% and 50% of the soybean meal in the basal diet, respectively. The study showed that replacing soybean meal with 25% CPC in broilers’ diets can maintain normal growth, while substituting 50% of soybean meal with CPC negatively affects the growth and development of broiler chickens. Furthermore, the CPC-1 group showed a significant increase in serum total antioxidant capacity, superoxide dismutase enzyme activity, and immunoglobulin content, along with a decrease in malondialdehyde content. Based on the research results mentioned above, it was speculated that CPC has the potential to replace around 25% of soybean meal in broiler feed without causing any negative impact on growth performance. This suggests that CPC could be a viable alternative to soybean meal in broiler diet.
Influence of Lower Lateral Bracing on the Seismic Pounding Damage to Slab-On-Girder Steel Bridges
Authors: Shi Fan , Wang Dongsheng , Tong Lei , Dai Jiancheng
Published: November 2023

During strong seismic events, seismic-induced pounding has been observed to cause damage to bridges. Previous studies on seismic-induced bridge pounding responses have generally focused on reinforced concrete bridges. However, the seismic damage between steel and reinforced concrete beams is significantly different, and research on steel beams’ seismic pounding response remains limited. Therefore, this paper adopts the multiscale fine three-dimensional numerical simulation method to study the seismic response of a slab-on-girder steel bridge. The numerical results show that the lower lateral bracing has a significant effect on seismic damage to steel beams. The lower lateral bracing can share about 1/3 of the pounding action and reduce the displacement angle of the steel beam by 40%. Under horizontal two-way seismic action, the lower lateral bracing significantly reduces the stress on the steel beam. In addition, the bracing should have continuous stiffeners to avoid connection failure. Generally, the lower lateral bracing should be considered in the design of the slab-on-girder steel bridge. It significantly improves the lateral seismic performance of the bridge and reduces seismic damage to steel beams.
Prediction of Acceleration Amplification Ratio of Rocking Foundations Using Machine Learning and Deep Learning Models
Authors: Gajan Sivapalan
Published: November 2023

Experimental results reveal that rocking shallow foundations reduce earthquake-induced force and flexural displacement demands transmitted to structures and can be used as an effective geotechnical seismic isolation mechanism. This paper presents data-driven predictive models for maximum acceleration transmitted to structures founded on rocking shallow foundations during earthquake loading. Results from base-shaking experiments on rocking foundations have been utilized for the development of artificial neural network regression (ANN), k-nearest neighbors regression, support vector regression, random forest regression, adaptive boosting regression, and gradient boosting regression models. Acceleration amplification ratio, defined as the maximum acceleration at the center of gravity of a structure divided by the peak ground acceleration of the earthquake, is considered as the prediction parameter. For five out of six models developed in this study, the overall mean absolute percentage error in predictions in repeated k-fold cross validation tests vary between 0.128 and 0.145, with the ANN model being the most accurate and most consistent. The cross validation mean absolute error in predictions of all six models vary between 0.08 and 0.1, indicating that the maximum acceleration of structures supported by rocking foundations can be predicted within an average error limit of 8% to 10% of the peak ground acceleration of the earthquake.
Prediction of Particulate Matter 2.5 Concentration Using a Deep Learning Model with Time-Frequency Domain Information
Authors: Tang Xueming , Wu Nan , Pan Ying
Published: November 2023

In recent years, deep learning models have gained significant traction and found extensive applications in the realm of PM2.5 concentration prediction. PM2.5 concentration sequences are rich in frequency information; however, existing PM2.5 concentration prediction models lack the ability to capture the frequency information. Therefore, we propose the Time-frequency domain, Bidirectional Long Short-Term Memory (BiLSTM), and attention (TF-BiLSTM-attention) model. First, the model uses Discrete Cosine Transform (DCT) to convert the time domain information into its corresponding frequency domain representation. Second, it joins the time domain information with the frequency domain information, which enables the model to capture the frequency domain information on top of the original. Simultaneously, incorporating the attention mechanism after BiLSTM enhances the importance of critical time steps. Empirical results underscore the superior predictive performance of our proposed univariate model across all sites, outperforming both the univariate BiLSTM, univariate BiLSTM-attention, and univariate TF-BiLSTM. Meanwhile, for the multivariate model that adds PM2.5 concentration from other sites in the study area as input variables, our proposed model outperforms the prediction of some basic models such as BiLSTM and some hybrid models such as CNN-BiLSTM for all sites.
Simulation Modelling of Silicon Gated Field Emitter Based Electronic Circuits
Authors: Hay Robert , Bhattacharya Ranajoy , Chern Winston , Rughoobur Girish , Akinwande Akintunde I. , Browning Jim
Published: November 2023

Vacuum transistors (VTs) are promising candidates in electronics due to their fast response and ability to function in harsh environments. In this study, several oscillator and logic gate circuit simulations using VTs are demonstrated. Silicon-gated field emitter arrays (Si-GFEAs) with 1000 × 1000 arrays were used experimentally to create a VT model. First, transfer and output characteristics sweeps were measured, and based on those data, an LTspice vacuum transistor (VT) model was developed. Then, the model was used to develop Wein and Ring oscillator circuits. The circuits were analytically simulated using LTspice, where the collector bias voltage was 200 V DC, and the gate bias voltage was 30–40 V DC. The Wein oscillator circuit produced a frequency of 102 kHz with a magnitude of 26 Vpp. The Ring oscillator produced a frequency of 1.14 MHz with a magnitude of 4 Vpp. Furthermore, two logic circuits, NOR and NAND gates, were also demonstrated using LTspice modeling. These simulation results illustrate the feasibility of integrating VTs into functional integrated circuits and provide a design approach for future on-chip vacuum transistors applied in logic or radio-frequency (RF) devices.
Development and Field Application of an Automated Pipe Jacking Friction Resistance Identification and Warning System in Construction
Authors: Jin Liang-Hai , Wu Bang-Jie , Zheng Xia-Zhong , Chen Shu
Published: November 2023

Minimizing frictional resistance is crucial for ensuring the safety and smooth progress of pipe jacking construction. However, due to the unpredictability of geological conditions, it is difficult to grasp the frictional resistance during construction, which poses challenges to safe and smooth construction. In order to reduce the frictional resistance during the process of pipe jacking, an automated pipe jacking friction resistance identification and warning system is thus innovatively proposed. This system uses jacking resistance sensors to identify resistance during the jacking process. When the jacking resistance exceeds a certain threshold, the system will send alerts, which could prompt construction workers to adjust the rheological slurry ratio according to the on-site soil conditions. This system includes the following major components: (1) an analysis of primary factors influencing pipe frictional resistance and a model for resistance calculation, (2) the examination of forces exerted on disturbed soil during pipe jacking construction to determine the optimal placement of resistance sensors, (3) the design and operational principles for an automated resistance identification and warning system, and (4) the application of a slurry shield construction method for resistance reduction. The research has practical significance in providing a reference for developing intelligent pipe jacking and contributing to the improvement in construction safety levels.
User Experience of Older People While Using Digital Health Technologies: A Systematic Review
Authors: Takano Eiko , Maruyama Hisataka , Takahashi Tetsuta , Mori Kouki , Nishiyori Kota , Morita Yoshifumi , Fukuda Toshio , Kondo Izumi , Ishibashi Yutaka
Published: November 2023

Digital technologies ranging from biosensors to virtual reality have revolutionized the healthcare landscape by offering innovations that hold great promise in addressing the challenges posed by rapidly aging populations. To optimize healthcare experiences for older people, it is crucial to understand their user experience (UX) with digital health technologies. This systematic review, covering articles published from 2013 to 2023, aimed to explore frequently used questionnaires for assessing digital healthcare UX among older people. The inclusion criteria were original studies assessing UX in digital health for individuals aged ≥65 years. Of 184 articles identified, 17 were selected after rigorous screening. The questionnaires used included the System Usability Scale (SUS), the User Experience Questionnaire (UEQ), and the Post-Study System Usability Questionnaire. Customized questionnaires based on models such as the Technology Acceptance Model and the Almere model were developed in some studies. Owing to its simplicity and effectiveness in assessing digital health UX among older people, the SUS emerged as the go-to tool (52.9%). Combining the SUS with the UEQ provided comprehensive insights into UX. Specialized questionnaires were also used, but further research is needed to validate and adapt these tools for diverse cultural contexts and evolving technologies.
Identification of Previously Unrecorded Bacills, Serratia, and Mucor Strains Isolated from Yogurt
Authors: Al-brahim Jehan S. , Abdalla Omer A. , Alwarqan Alanoud I.
Published: November 2023

(1) Background: Foodborne illnesses are recognized as a significant threat to public health and the economy in both developed and developing nations. The safety of foods containing microorganisms has consequently become a major worldwide concern. One of the most frequent causes of food deterioration in the world is microbial contamination. (2) Methods: Yogurt containers that were bought commercially in Riyadh, Saudi Arabia during their validity period contained four different species of bacteria and one type of fungus. Using nutritional agar and Czapek-Dox agar medium, the bacteria and fungi were isolated. The isolates of the fungi and bacteria were identified using a scanning microscope. The isolates were further identified and classified for molecular evolutionary analyses using the 16S rRNA and ITS sequences from the bacteria and fungi, respectively, in conjunction with the universal primers 27F, 1492R, ITS1F, and ITS4R. (3) Results: A total of 131 separate strains were identified from 12 yogurt samples based on their phenotypic characteristics. In total, 79 isolates (60.3%) consisted of Serratia marcescens, Bacillus subtilis, and Mucor circinelloides, with 52 isolates (39.7%) being Bacillus cereus. While the cells of Bacillus and Serratia are shaped like rods, the sporangia of Mucor are large, round, and black. Each strain was identified by its accession number, which were as follows: MK590996.1: B. cereus; MK591144.1: B. subtilis; MK591002.1 and MK591014.1: S. marcescens; and MK559692.1: M. circinelloides. The maximum identification was found to be between 98.64 and 100% when BLAST was used to compare the sequences to the NCBI GeneBank database. (4) Conclusions: Genus and species identification was performed using the similarity score values. Yogurt products containing high concentrations (39.7%) of Bacillus cereus isolates carry a significant risk of health hazards due to the potential for spreading pathogenic bacteria to humans.
Amplification Ratio of a Recycled Plastics-Compliant Mechanism Flexure Hinge
Authors: Uyen Tran Minh The , Minh Pham Son , Nguyen Van-Thuc , Do Thanh Trung , Nguyen Le Dang Hai , Nguyen Van Thanh Tien
Published: November 2023

This research focuses on the fabrication of plastic flexure hinges from diverse plastics such as ABS, PP, HDPE, and LDPE. To enhance hinge efficiency, the recycling ratios are also investigated. The amplification ratio of different recycle ratios and plastic types are measured. The results show that the input and output displacements of all PP, ABS, and HDPE hinges are linear. The presence of recycled plastics has no impact on this basis. The pure PP, ABS, and HDPE flexure hinges achieve the highest amplification ratios of 5.728, 8.249, and 5.668. The addition of recycled plastics reduces the amplification ratio. This decrease in the amplification ratio, however, is small. At a 25% recycle ratio, the PP, ABS, and HDPE flexure hinges have 12%, 13.3%, and 21.7% lower amplification ratios than the pure plastic hinges. Furthermore, the utilization of recycled plastics may lessen the need for new plastic made from raw materials. With the PP flexure hinge, a maximum input value of 157 µm could result in an output value of 886 µm. At a maximum input value of 115 µm, the ABS flexure hinge could achieve an output value of 833 µm. Finally, a maximum input value of 175 µm might result in an output value of 857 µm when using the HDPE flexure hinge. The average amplification ratio values for all recycling ratios for PP, ABS, and HDPE flexure hinges are, respectively, 5.35, 7.60, and 5.02. The ABS flexure hinge frequently outperforms the PP and HDPE flexure hinge in terms of amplification ratios. Among these plastics, HDPE flexure hinges have the lowest amplification ratio. In general, increasing the thermoplastic polyurethane (TPU) content of the LDPE/TPU blend increases the amplification ratio. The cause could be the TPU’s high compatibility with the LDPE polymer. The LDPE/TPU blend hinge offers a broader range of the amplification ratio of 2.85–10.504 than the PP, ABS, and HDPE flexure hinges. It is interesting that changing the blend percentage has a much greater impact on the amplification ratio than changing the recycling ratio. The findings broaden the range of applications for plastic flexure hinges by identifying optimal plastic types. The impact of the hinge shape on the performance of the injected plastic flexure hinge might be studied in further research.