bluuebunny/crossref_metadata_2025 huggingface dataset:
The Implementation of Response Surface Methodology and Artificial Neural Networks to Find the Best Germination Conditions for Lycopersicon esculetum Based on Its Phenological Development in a Greenhouse
Authors: Velázquez-de-Lucio Brianda Susana , Álvarez-Cervantes Jorge , Serna-Díaz María Guadalupe , Hernández-Domínguez Edna María , Medina-Marin Joselito
Published: November 2023

The incorporation of biodegraded substrates during the germination of horticultural crops has shown favorable responses in different crops; however, most of these studies evaluate their effect only in the first days of seedling life, and do not follow up on the production process under greenhouse or open field conditions. The objective of this study was to evaluate the phenological development of Lycopersicon esculetum (tomato) seedlings in greenhouses that were germinated with biodegraded substrate mixed with peat moss. To find the best plant performance condition and determine whether the biodegraded substrate allows tomato plants to be obtained with the conditions for their production, the response surface methodology (RSM) and artificial neural network (ANN) were used. Three response surface models and three neural network models were developed to analyze the plant growth, the leaf length and the leaf width. The results obtained show that plant height during the first days presented statistically significant differences among the different treatments, with an initial average height of 5.3 cm. The length of the leaves at transplantation was statistically different, maintaining a length of 2.4, and the width of the leaves at transplantation measured 1.8 cm. The RSM and ANN models allowed the estimation of the optimal value of the adequate amount of degraded substrate to germinate Lycopersicon esculetum and reduce the use of peat moss. The coefficient of determination (r2) indicates that the ANNs presented a better data fit (r2 > 0.99) to predict the experimental conditions that maximize the study variables; in this sense, the plants obtained with 100% biodegraded substrate showed a better development, which suggests its use as an alternative substrate in the germination process and to reduce the use of peat moss.
Effects of Pre-Harvest Spraying with Salicylic Acid (SA) and Sodium Nitroprusside (SNP) on Storage Quality and Pathogenic Fungal Species in ‘Manaohong’ Cherries
Authors: Zhang Ni , Ji Ning , Liu Renchan , Wang Rui , Chen Cunkun , Ma Chao , Nie Huali , Lei Jiqing , Tao Qiuyun
Published: November 2023

Chinese cherries, with their delightful blend of sourness and sweetness, are highly favored for their taste and nutritional benefits. However, they mature in conditions of high temperatures and rainfall, making them vulnerable to fungal infections which compromise their post-harvest quality. Our research aimed to study the effects of pre-harvest spraying with salicylic acid (SA) and sodium nitroprusside (SNP) on the pathogenic fungi in Manaohong cherries and their subsequent storage quality. We discovered that using SA and SNP at varying fruit development stages preserved fruit hardness, texture, appearance, and respiratory rate during storage, although it did not significantly alter the fruit’s dimensions. Furthermore, this pre-harvest treatment preserved levels of titratable acids, total phenols, and other antioxidants in the cherries, bolstered the activities of certain antioxidant enzymes (SOD, APX), and inhibited the activity of PPO and POD enzymes.Notably, the SA treatment alone demonstrated superior storage performance compared to combined treatments. Our research also identified Alternaria alternata and Colletotrichum godetiae as the primary pathogens in Manaohong cherries. In in vitro experiments, neither SA nor SNP inhibited these fungi’s growth. Consequently, we evaluated 12 pesticides and determined that 5% hexaconazole and 50% benomyl were most effective against these pathogens. Thus, to enhance the shelf life of Manaohong cherries and ensure their post-harvest quality, we recommend a pre-harvest spray of a SA, and combined with 5% hexaconazole and 50% benomyl. This approach not only promises enhanced cherry longevity but also lays a foundational strategy for the flourishing Manaohong Cherry industry.
Electrostatic Techniques for Physically Managing Pathogens, Insect Pests, and Weeds in Field and Greenhouse Cropping Systems
Authors: Toyoda Hideyoshi
Published: November 2023

The primary focus in pest management across all pest classes, including pathogens, insect pests, and weeds, is on shifting towards methods that do not rely on pesticides [...]
Synergistic Effects of N Fertilization and Irrigation on Soil Bacterial Community in Super Rice Paddies
Authors: Qian Xiaoqing , Huang Jianing , Xie Ruqing , Di Li , Wang Juanjuan , Wang Guiliang
Published: November 2023

Nitrogen reduction, in association with increased planting density and irrigation management, has been widely adopted in super rice cultivation systems to pursue higher yield with lower input. Here, soil microbial community structures under accurate N and water management were investigated after four years of experiments. Plot experiments were conducted with three treatments, including conventional farming practice (CF), reduced nitrogen with increased plant density (RNID), and reduced nitrogen with increased plant density and precise irrigation (RNIDPI). The results showed that RNID treatment increased soil bacterial diversity, enriched biomarker bacterial taxa, and altered bacterial community structure, with pH as the influential factor. The phylum Chloroflexi was enriched in the treatment of N reduction, while a higher ratio of Firmicutes was present in CF treatments. RNID treatment witnessed a low proportion of bacterial functional groups involved in nitrification and nitrate reduction. N fertilizer reduction with irrigation management increased rice yield (up to 22%) without changing the major soil fertility properties except for the increased pH and decreased ammonium N. The results suggest that N reduction, in association with increased plant density and accurate irrigation, is beneficial for super rice production.
The Design of and Experiments with a Double-Row Seed-Metering Device for Buckwheat Breeding in an Experimental Area
Authors: Liu Dequan , Ma Junwei , Qiao Xindan , Xin Peichen , Zhang Xinchi , Wang Jiawei , Zheng Decong
Published: November 2023

Existing plot seeders have several problems, e.g., seeding uniformity is poor, the breakage rate is higher, and so on. The design of a cone-grid format seed-metering device can both meet the experimental area’s seeding-operation requirements and the plant-to-row seeding requirements. We clarified the overall structure, working principle, and technical parameters of a novel seed-metering device. The gap-adjustment range of the seed-distributing mechanism was determined by analyzing the force on buckwheat seeds. A kinematic simulation using Simulink clarified that the seed-metering control mechanism is capable of realizing precise seed-discharge control. In this experiment, we used the layout of seed gaps, seed displacement, and the rotation rate as influencing factors, respectively. We determined the sowing uniformity coefficient of variation and the broken rate as indicators of the orthogonal experiment. The test results were then subjected to modeling analysis and optimization using Design-Expert12 software to determine the optimal operating parameters. Subsequently, validation experiments were conducted. The results show that the optimal configuration of parameters consisted of a layout seed gap of 13.42 mm, a seed displacement of 17.67 g, and a rotation rate of 15.59 min−1. Under these optimal conditions, the coefficient of variation for sowing uniformity was measured at 14.56%, while the broken rate was 0.39%. The test results meet the technical requirements of buckwheat seed experimental-area sowing and plant-to-row sowing; for further research on buckwheat experimental-area breeding, this study provides a reference.
Effects of Dietary Microcapsule Sustained-Release Sodium Butyrate on the Growth Performance, Immunity, and Gut Microbiota of Yellow Broilers
Authors: Dai Zhenglie , Wang Xiuxi , Liu Yulan , Liu Jinsong , Xiao Shiping , Yang Caimei , Zhong Yifan
Published: November 2023

The beneficial effects of butyric acid in poultry production are well documented, while the relationship between sodium butyrate (SB) and microcapsule sustained-release sodium butyrate (MSSB), especially in yellow broilers, remains poorly investigated. This study was designed to elucidate the function as well as the potential mechanisms of SB and MSSB in enhancing health in yellow broilers. In total, 360 one-day-old yellow broilers were allocated to three treatment groups. The control group (CON) received a basic diet, while the SB group was provided with 1000 mg/kg of sodium butyrate (SB), and the MSSB received microcapsule sustained-release sodium butyrate (MSSB), all over a period of 56 days. Compared to the CON group, the dietary supplementation of both SB and MSSB showed a lower feed:gain ratio (p < 0.01). No significant (p > 0.05) difference in antioxidant capacity was observed between the three groups. We observed significantly higher levels (p < 0.05) of immunoglobulins and a reduction in concentrations in both the SB and MSSB groups compared to the CON group. Furthermore, both SB and MSSB induced alterations in the diversity, structure, and function of gut microbiota. MSSB demonstrated even more pronounced beneficial effects than SB, particularly in regard to the serum IgA level (p = 0.05), cecal isovalerate concentration (p < 0.05), and villus height (p < 0.01). The sequencing of the gut microbiota revealed that MSSB led to a significant increase in the relative abundance of Clostridia UCG-014, Bacilli RF39, and Oscillospiraceae UCG-005. Predictions of bacterial function indicated changes in KEGG pathways, including an enrichment of tryptophan metabolism (ko00380), and a reduction in fructose and mannose metabolism (ko00051), chloroalkane and chloroalkene degradation (ko00625), and naphthalene degradation (ko00626) in yellow broilers fed with MSSB. Among these, the mediation analysis revealed a causal effect between the Clostridia UCG-014 in the gut and serum IgA, with tryptophan metabolism being a key mediator in this relationship. Our results suggest that dietary MSSB can improve the growth performance, immunity, and gut microbiota of yellow broilers. MSSB increased the abundance of Clostridia UCG-014 and activated the tryptophan metabolism pathway (ko00380), contributing to IgA levels in yellow broilers through this mechanism.
Assessment of an Ultrasound-Guided Rectus Sheath Block in Foals: A Cadaveric Study
Authors: Gutiérrez Bautista Álvaro Jesús , Söbbeler Franz Josef , Koch Rüdiger , Viscasillas Jaime , Kästner Sabine
Published: November 2023

In neonatal equines, pathologies involving umbilical structures are an important cause of morbidity, and surgical removal of urachal remnants is a common procedure in clinical practice. Surgery involving the ventral abdominal wall can cause substantial pain, leading to complications and prolonged recovery. The objectives of this study were to describe a two-point bilateral ultrasound-guided rectus sheath block at the level of the umbilicus and to evaluate the extent of dye distribution in foal cadavers. Ten foal cadavers were included in the study, in which a bilateral two-point ultrasound-guided rectus sheath block was performed—one injection 5 cm cranially and a second one 5 cm caudally to the umbilicus. The injectate consisted of a mixture of iodinated contrast medium and blue dye at a volume of 0.25 mL kg−1 per injection point (total 1 mL kg−1). After the injection, computer tomography and subsequent dissection of the ventral abdominal wall were performed. The extension of the contrast medium, the number of stained nerves, and contamination of the abdominal cavity were evaluated. The cranio-caudal extension of the contrast ranged from 0.8 to 1.4 cm per milliliter of injectate. The most commonly stained ventral branches of spinal nerves were thoracic (Th) nerves 16, 17, and 18 (95%, 85%, and 80% of the nerves, respectively). Abdominal contamination was found in four animals. The results suggest that the block could provide periumbilical analgesia. Further studies with different volumes of injectate and living animals are warranted.
Attentional Keypoint Detection on Point Clouds for 3D Object Part Segmentation
Authors: Zhou Feng , Zhang Qi , Zhu He , Liu Shibo , Jiang Na , Cai Xingquan , Qi Qianfang , Hu Yong
Published: November 2023

In the field of computer vision, segmenting a 3D object into its component parts is crucial to understanding its structure and characteristics. Much work has focused on 3D object part segmentation directly from point clouds, and significant progress has been made in this area. This paper proposes a novel 3D object part segmentation method that focuses on integrating three key modules: a keypoint-aware module, a feature extension module, and an attention-aware module. Our approach starts by detecting keypoints, which provide the global feature of the inner shape that serves as the basis for segmentation. Subsequently, we utilize the feature extension module to expand the dimensions, obtain the local representation of the obtained features, provide richer object representation, and improve segmentation accuracy. Furthermore, we introduce an attention-aware module that effectively combines the features of the global and local parts of objects to enhance the segmentation process. To validate the proposed model, we also conduct experiments on the point cloud classification task. The experimental results demonstrate the effectiveness of our method, thus outperforming several state-of-the-art methods in 3D object part segmentation and classification.
Research on the Cleaning Method of Unmanned Sweeper Based on Target Distribution Situation Analysis
Authors: Liu Yufan , Ping Peng , Shi Quan , Chen Hailong , Yao Qida , Luo Jieqiong
Published: November 2023

Replacing traditional manual sweeping with unmanned sweepers in closed parks can not only greatly reduce labor costs, but also improve sweeping efficiency. Efficient path planning is the key technology for unmanned sweepers to complete the sweeping task. Existing unmanned sweepers are often based on fixed path sweeping or completely traversing the sweeping mode, this mode does not have the environmental adaptability, in the actual sweeping is often high energy cost, and sweeping is not complete. In this paper, an environment-adaptive sweeping path planning method is proposed to improve the sweeping intelligence and environmental adaptability of unmanned sweepers, reduce the energy consumption of sweeping and improve the efficiency of sweeping. Specifically, in this paper, we first use YOLOv5 to complete the accurate identification of individual garbage and obstacles in the road, and then work with LIDAR and Gaussian Mixture Model(GMM) to remove redundant targets. We also propose a Permutation Entropy(PE) value-based discrimination method to complete the target distribution posture analysis of each complex garbage pile. Finally, the traditional path planning problem is transformed into a combinatorial optimization problem of garbage areas, and a sweeping path accurate method based on Simulated Annealing(SA) algorithm is proposed. Through comprehensive theoretical analysis and simulation study, the optimality and effectiveness of the proposed method are proved by comparing A star and Coverage Path Planning(CPP) algorithms in a variety of experimental scenarios.
Impact of Interaction between Biochar and Soil Microorganisms on Growth of Chinese Cabbage by Increasing Soil Fertility
Authors: Luan Jing , Fu Yang , Tang Wenzhu , Yang Fan , Li Xianzhen , Yu Zhimin
Published: November 2023

We investigated the improvement of cabbage growth through the interaction of biochar, which can promote microbial activity, with the microbes in the soil. An increase in cabbage growth could be detected in soil with biochar or soil microbes, but the fresh weight of cabbage in soil supplemented with both biochar and microbes was 8.8% and 5% higher, respectively, than that with either microbes or biochar alone. The phosphorus content in Chinese cabbage was also increased by 36.3% when compared with the control without the addition of biochar and microbes. Such an improvement on cabbage growth is closely related to the soil amelioration. The application of biochar in soil significantly stimulated the growth of soil microbes and further altered the microbial community structure in soil. When 2% biochar and microbes were simultaneously applied in soil, the content of the organic matter and available phosphorus content in soil was 36.7% and 45.5% higher, respectively, than that in soil with or without biochar. The maximal increment in the available potassium content was observed in the soil supplemented with both 5% biochar and soil microbes, which was 46.4% higher than that in soil without the addition of biochar and microbes. Both phosphatase and urease activity in soil were also increased by 61.2% and 49.4%, respectively, by applying 2% biochar in soil together with microbes, as the interaction of biochar with the microbes could promote the activity of soil microbes and enzymes which resulted in an improvement in soil fertility. The interaction of biochar with microbes in soil could promote the plant growth of Chinese cabbage by increasing the soil fertility.
Integration of Plasmonic Structures in Photonic Waveguides Enables Novel Electromagnetic Functionalities in Photonic Circuits
Authors: Magno Giovanni , Yam Vy , Dagens Béatrice
Published: November 2023

The development of integrated, compact, and multifunctional photonic circuits is crucial in increasing the capacity of all-optical signal processing for communications, data management, and microsystems. Plasmonics brings compactness to numerous photonic functions, but its integration into circuits is not straightforward due to insertion losses and poor mode matching. The purpose of this article is to detail the integration strategies of plasmonic structures on dielectric waveguides, and to show through some examples the variety and the application prospect of integrated plasmonic functions.
Optimizing Foreign Language Learning in Virtual Reality: A Comprehensive Theoretical Framework Based on Constructivism and Cognitive Load Theory (VR-CCL)
Authors: Song Chuanxiang , Shin Seong-Yoon , Shin Kwang-Seong
Published: November 2023

With the widespread application of virtual reality (VR) in education, optimizing foreign language learning in VR has become a focal point of research. This paper introduces a comprehensive theoretical framework (VR-CCL) based on constructivism and cognitive load theory to enhance foreign language learning in VR. Through a literature review, we explore the applications of VR in education, foreign language learning theories, and prior works on technology-assisted language learning. We further detail the three main components of the VR-CCL framework and validate its effectiveness through two case studies: Duolingo VR and Rosetta Stone VR. Finally, we discuss the strengths and limitations of the framework and its implications for educators and developers.
Ore Rock Fragmentation Calculation Based on Multi-Modal Fusion of Point Clouds and Images
Authors: Peng Jianjun , Cui Yunhao , Zhong Zhidan , An Yi
Published: November 2023

The accurate calculation of ore rock fragmentation is important for achieving the autonomous mining operation of mine excavators. However, a single mode cannot accurately calculate the ore rock fragmentation due to the low resolution of the point cloud mode and the lack of spatial position information of the image mode. To solve this problem, we propose an ore rock fragmentation calculation method (ORFCM) based on the multi-modal fusion of point clouds and images. The ORFCM makes full use of the advantages of multi-modal data, including the fine-grained object segmentation of images and spatial location information of point clouds. To solve the problem of image under-segmentation, we propose a multiscale adaptive edge-detection method based on an innovative standard deviation map to enhance the weak edges. Furthermore, an improved marked watershed segmentation algorithm is proposed to solve the problem of low segmentation accuracy caused by excessive noise of the gradient map and weak edges submerged. Experiments demonstrate that ORFCM can accurately calculate ore rock fragmentation in the local excavation area without relying on external markers for pixel calibration. The average error of the equivalent diameter of ore rock blocks is 0.66 cm, the average error of the elliptical long diameter is 1.42 cm, and the average error of the elliptical short diameter is 1.06 cm, which can effectively meet practical engineering needs.
Molecular Biomarkers for Predicting Cancer Patient Radiosensitivity and Radiotoxicity in Clinical Practice
Authors: Gkikoudi Angeliki , Kalospyros Spyridon A. , Triantopoulou Sotiria , Logotheti Stella , Softa Vasiliki , Kappas Constantin , Theodorou Kiki , Laiakis Evagelia C. , Manda Gina , Terzoudi Georgia I. , Georgakilas Alexandros G.
Published: November 2023

Radiotherapy (RT) is a major part of cancer treatment. The reported variability in patient response to this modality can interfere with the continuation of best-possible care, promote side effects, and lead to long-term morbidity. Tools to predict a patient’s response to radiation could be highly useful in improving therapeutic outcomes while minimizing unnecessary and toxic exposure to radiation. This study investigates the potential of using molecular biomarkers as predictors of radiosensitivity in clinical practice. We review relative studies researching the positive correlation between various molecular biomarkers and patient radiosensitivity, including DNA damage response and repair proteins, inflammation and apoptosis markers, cell cycle regulators, and other biological markers. The clinical perspectives and applicability of these biomarkers in the prediction of radiosensitivity are also critically discussed. Conclusively, we underline the dynamics of molecular biomarkers to improve the efficacy and safety of radiotherapy in clinical practice and highlight the need for further research in this field. Identification of the most prominent markers is crucial for the personalization of therapies entailing ionizing radiation.
High Heart Rate Variability Causes Better Adaptation to the Impact of Geomagnetic Storms
Authors: Ramishvili Aleksandre , Janashia Ketevan , Tvildiani Levan
Published: November 2023

Our study aimed to test whether specific sensitive reactions in healthy males to the changes in geomagnetic activity (GMA) are different depending on the baseline self-regulation of the autonomic nervous system (ANS). In this study, the ANS response in the different phases of geomagnetic storms (GMSs) has been measured via the heart rate variability (HRV) using one-way ANOVA and the Bonferroni-adjusted t-test. In the case of high HRV, changes were found to indicate a significant intensification of both parts of the ANS: the sympathetic part (SP) showed increased stress levels and the parasympathetic part (PP) marked a self-regulation effort in the main and restoration phases of GMSs. In the case of low HRV, changes indicate a significant enhancement in the SP after the main phase of GMSs, with a day’s delay. GMA is a sufficient environmental factor for healthy males, causing stress reactions of the ANS in the main and restoration phases of GMSs. However, the different self-regulation of the ANS results in different dynamics in its variation depending on the individual’s character of the baseline ANS state; the optimal adaptation reactions of healthy males with baseline high HRV are achieved with decreased heart rate and increased HRV in the main phase of GMSs.
Understanding the Axioms and Assumptions of Logical Mathematical Systems through Raster Images: Application to the Construction of a Likert Scale
Authors: Viladevall Queralt , Linares-Mustarós Salvador , Huertas Maria Antonia , Ferrer-Comalat Joan-Carles
Published: November 2023

This article presents different artistic raster images as a resource for correcting misconceptions about different laws and assumptions that underlie the propositional systems of binary logic, Łukasiewicz’s trivalent logic, Peirce’s trivalent logic, Post’s n-valent logic, and Black and Zadeh’s infinite-valent logic. Recognizing similarities and differences in how images are constructed allows us to deepen, through comparison, the laws of bivalence, non-contradiction, and excluded middle, as well as understanding other multivalent logic assumptions from another perspective, such as their number of truth values. Consequently, the first goal of this article is to illustrate how the use of visualization can be a powerful tool for better understanding some logic systems. To demonstrate the utility of this objective, we illustrate how a deeper understanding of logic systems helps us appreciate the necessity of employing Likert scales based on the logic of Post or Zadeh, which is the second goal of the article.
WRKY Transcription Factors in Jasminum sambac: An Insight into the Regulation of Aroma Synthesis
Authors: Lu Zhaogeng , Wang Xinwen , Mostafa Salma , Noor Iqra , Lin Xinyi , Ren Shixiong , Cui Jiawen , Jin Biao
Published: November 2023

WRKY transcription factors are one of the largest families of transcription regulators that play essential roles in regulating the synthesis of secondary metabolites in plants. Jasmine (Jasminum sambac), renowned for its aromatic nature and fragrant blossoms, possesses a significant abundance of volatile terpene compounds. However, the role of the WRKY family in terpene synthesis in jasmine remains undetermined. In this study, 72 WRKY family genes of J. sambac were identified with their conserved WRKY domains and were categorized into three main groups based on their structural and phylogenetic characteristics. The extensive segmental duplications contributed to the expansion of the WRKY gene family. Expression profiles derived from the transcriptome data and qRT-PCR analysis showed that the majority of JsWRKY genes were significantly upregulated in fully bloomed flowers compared to buds. Furthermore, multiple correlation analyses revealed that the expression patterns of JsWRKYs (JsWRKY27/33/45/51/55/57) were correlated with both distinct terpene compounds (monoterpenes and sesquiterpenes). Notably, the majority of jasmine terpene synthase (JsTPS) genes related to terpene synthesis and containing W-box elements exhibited a significant correlation with JsWRKYs, particularly with JsWRKY51, displaying a strong positive correlation. A subcellular localization analysis showed that JsWRKY51 was localized in the nucleus. Moreover, transgenic tobacco leaves and jasmine calli experiments demonstrated that overexpression of JsWRKY51 was a key factor in enhancing the accumulation of β-ocimene, which is an important aromatic terpene component. Collectively, our findings suggest the roles of JsWRKY51 and other JsWRKYs in regulating the synthesis of aromatic compounds in J. sambac, providing a foundation for the potential utilization of JsWRKYs to facilitate the breeding of fragrant plant varieties with an improved aroma.
A Comparative Analysis of MicroRNA Expression in Mild, Moderate, and Severe COVID-19: Insights from Urine, Serum, and Nasopharyngeal Samples
Authors: Soltane Raya , Almulla Nuha , Alasiri Ahlam , Elashmawy Nabila F. , Qumsani Alaa T. , Alshehrei Fatimah M. , Keshek Doaa El-Ghareeb , Alqadi Taha , AL-Ghamdi Saleh Bakheet , Allayeh Abdou Kamal
Published: November 2023

COVID-19, caused by the SARS-CoV-2 virus, manifests with a wide range of clinical symptoms that vary from mild respiratory issues to severe respiratory distress. To effectively manage and predict the outcomes of the disease, it is important to understand the molecular mechanisms underlying its severity. This study focuses on analyzing and comparing the expression patterns of microRNAs (miRNAs) in serum, urine, and nasopharyngeal samples from patients with mild, moderate, and severe COVID-19. The aim is to identify potential associations with disease progression and discover suitable markers for diagnosis and prognosis. Our findings indicate the consistent upregulation of miR-21, miR-146a, and miR-155 in urine, serum, and nasopharyngeal samples from patients with mild COVID-19. In moderate cases, there were more significant changes in miRNA expression compared to mild cases. Specifically, miR-let-7 demonstrated upregulation, while miR-146b exhibited downregulation. The most notable alterations in miRNA expression profiles were observed in severe COVID-19 cases, with a significant upregulation of miR-223. Moreover, our analysis using Receiver-operating characteristic (ROC) curves demonstrated that miR-155, miR-let-7, and miR-223 exhibited high sensitivity and specificity, suggesting their potential as biomarkers for distinguishing COVID-19 patients from healthy individuals. Overall, this comparative analysis revealed distinct patterns in miRNA expression. The overlapping expression patterns of miRNAs in urine, serum, and nasopharyngeal samples suggest their potential utility in discriminating disease status.
The Blocking of Drug Resistance Channels by Selected Hydrophobic Statins in Chemoresistance Human Melanoma
Authors: Placha Wojciech , Suder Piotr , Panek Agnieszka , Bronowicka-Adamska Patrycja , Zarzycka Marta , Szczygieł Małgorzata , Zagajewski Jacek , Piwowar Monika Weronika
Published: November 2023

Despite the development of modern drugs, drug resistance in oncology remains the main factor limiting the curability of patients. This paper shows the use of a group of hydrophobic statins to inhibit drug resistance (Pgp protein). In a chemoresistance melanoma cell model, viability, necroptosis with DNA damage, the absorption of the applied pharmaceuticals, and the functional activity of the ABCB1 drug transporter after administration of docetaxel or docetaxel with a selected hydrophobic statin were studied. Taxol-resistant human melanoma cells from three stages of development were used as a model: both A375P and WM239A metastatic lines and radial growth phase WM35 cells. An animal model (Mus musculus SCID) was developed for the A375P cell line. The results show that hydrophobic statins administered with docetaxel increase the accumulation of the drug in the tumor cell a.o. by blocking the ABCB1 channel. They reduce taxol-induced drug resistance. The tumor size reduction was observed after the drug combination was administrated. It was shown that the structural similarity of statins is of secondary importance, e.g., pravastatin and simvastatin. Using cytostatics in the presence of hydrophobic statins increases their effectiveness while reducing their overall toxicity.
Label-Free CD34+ Cell Identification Using Deep Learning and Lens-Free Shadow Imaging Technology
Authors: Baik Minyoung , Shin Sanghoon , Kumar Samir , Seo Dongmin , Lee Inha , Jun Hyun Sik , Kang Ka-Won , Kim Byung Soo , Nam Myung-Hyun , Seo Sungkyu
Published: November 2023

Accurate and efficient classification and quantification of CD34+ cells are essential for the diagnosis and monitoring of leukemia. Current methods, such as flow cytometry, are complex, time-consuming, and require specialized expertise and equipment. This study proposes a novel approach for the label-free identification of CD34+ cells using a deep learning model and lens-free shadow imaging technology (LSIT). LSIT is a portable and user-friendly technique that eliminates the need for cell staining, enhances accessibility to nonexperts, and reduces the risk of sample degradation. The study involved three phases: sample preparation, dataset generation, and data analysis. Bone marrow and peripheral blood samples were collected from leukemia patients, and mononuclear cells were isolated using Ficoll density gradient centrifugation. The samples were then injected into a cell chip and analyzed using a proprietary LSIT-based device (Cellytics). A robust dataset was generated, and a custom AlexNet deep learning model was meticulously trained to distinguish CD34+ from non-CD34+ cells using the dataset. The model achieved a high accuracy in identifying CD34+ cells from 1929 bone marrow cell images, with training and validation accuracies of 97.3% and 96.2%, respectively. The customized AlexNet model outperformed the Vgg16 and ResNet50 models. It also demonstrated a strong correlation with the standard fluorescence-activated cell sorting (FACS) technique for quantifying CD34+ cells across 13 patient samples, yielding a coefficient of determination of 0.81. Bland–Altman analysis confirmed the model’s reliability, with a mean bias of −2.29 and 95% limits of agreement between 18.49 and −23.07. This deep-learning-powered LSIT offers a groundbreaking approach to detecting CD34+ cells without the need for cell staining, facilitating rapid CD34+ cell classification, even by individuals without prior expertise.
Research on the Shear Performance of Cold-Formed Thin-Walled Steel-Glued Laminated Wood Composite Beams
Authors: Yang Haixu , Guo Yue , Wang Haibiao , Jiang Zihang
Published: November 2023

This paper proposes a new type of composite box beam combined with cold-formed thin-walled steel and glued laminated timber to develop green building structures while improving the load-carrying capacity of a single steel girder and glued timber girder. Two composite beams composed of laminated timber and Q235 cold-formed thin-walled steel were designed and fabricated. Then, the shear performance test with quadratic loading was carried out to analyze the load carrying capacity, damage modes, and deformation characteristics of the test beams, as well as their influencing factors. Subsequently, a finite element model of the composite beam was established, and the loading mode was the same as that of the test to further study the parameters affecting the shear performance of the composite beam. The results of the study indicate that steel and glued timber in composite beams connected by adhesive bonding can work and deform together under load and each give full play to its material properties, especially the composite beams, which exhibit higher shear strength than a steel or timber beam. The effects of parameters such as steel cross-sectional area, shear span ratio, steel skeleton form, and steel cross-sectional strength on the shear capacity of the composite beams were observed, among which the shear span ratio had the greatest effect on the shear capacity of the composite beams. The shear capacity decreased by 14.3% and 19.5% when the shear span ratio was increased from 1.5 to 2.0 and 2.5, respectively. The shear capacity of the combined composite beams increased by 10.6%, 6.3%, and 5.8% when the thickness was increased from 1.5 mm to 2.0 mm, 2.5 mm, and 3.0 mm, respectively. When the combination of the steel cross-section was a box beam, the overall shear-bearing capacity could be increased by 12% compared with the “I” type composite beam, although its shear stiffness was close to that of the “I” section composite beam.
Upper Bound Analysis of Ultimate Pullout Capacity for a Single Pile Using Hoek–Brown Failure Criterion
Authors: Liu Chi , Ji Fang , Song Yang , Wang Hongtao , Li Jianhua , Xuan Zhaoteng , Zhao Mingzhu
Published: November 2023

As a typical pullout foundation, the uplift pile has been widely used in ocean projects or geotechnical engineering, but the accurate prediction of its ultimate pullout capacity has always been a difficulty in engineering design. This study focused on a single pile in rock formation, and constructed a curved uplift failure mechanism in the case that the whole rock mass around the pile was damaged. In this mechanism, the rock mass failure was assumed to comply with the Hoek–Brown failure criterion. Then, the theoretical prediction formulas for the rock failure surface and the ultimate pullout capacity of the pile were derived by using the upper bound theorem. The influence laws of factors such as different rock mass parameters, pile parameters and additional surface load on the pile capacity and failure range were analyzed. Further, the proposed method was validated by comparing with the numerical simulation results. The results show that the ultimate pullout capacity of the pile increases with the increase in the length/diameter ratio, rock empirical parameter A, tensile strength, compressive strength, unit weight and additional surface load, but decreases with the increase in rock empirical parameter B. Empirical parameters A and B are key factors affecting the pile capacity and rock failure range, and should be attached importance to in engineering design. The research work in this study can provide some theoretical reference for the design of the uplift pile in rock formation.
Neoadjuvant Approaches to Non-Melanoma Skin Cancer
Authors: Wilde David C. , Glaun Mica E. , Wong Michael K. , Gross Neil D.
Published: November 2023

Surgery and external-beam radiation therapy are the primary treatment modalities for locally advanced NMSC, but they can lead to impairment of function and disfigurement in sensitive areas such as the head and neck. With the advent of targeted systemic therapies and immunotherapy, physicians have explored the ability to offer neoadjuvant therapy for NMSC in order to reduce surgically induced morbidity. Provided herein is a guide to current applications of neoadjuvant systemic therapies for NMSC and future directions.
Impact of G449 Single-Point Mutation on Glucansucrase URE 13-300 Enzyme Properties and Polysaccharide Structure
Authors: Angelova Stanimira , Vasileva Tonka , Bivolarski Veselin , Iliev Ilia
Published: November 2023

High-molecular-weight glucansucrase (GS) URE 13-300 with two catalytic domains (CDs) synthesizes insoluble branched α-glucan. In the present work, we explore the role of the amino acid glycine 449 (G449) located in domain B of CD1 on the enzyme properties and polysaccharide structure. Glycine was substituted with lysine via site-directed mutagenesis and the mutant DNA was expressed in recombinant Escherichia coli BL21 (DE3). The obtained mutant glucansucrase U13M1 had a shifted optimum pH, from 5.3 to 6.5, and a decreased optimal temperature, from 30 to 20 °C. The modified glucan, synthesized using U13M1, retained the water-insoluble nature of the URE 13-300 glucan and also has altered linkage composition, with about 30% fewer α-(1 → 3) linked glucose residues in the main chain. This is the first mutagenesis study on glucansucrase with two catalytic domains in a non-truncated form.
Effect of Electrodeposited Gold Coatings on Micro-Gaps, Surface Profile and Bacterial Leakage of Cast UCLA Abutments Attached to External Hexagon Dental Implants
Authors: Walton Terry R.
Published: November 2023

Purpose: The objective of the study was to qualitatively assess the micro-gap dimensions, connecting fitting surface profile, and bacterial leakage of cast high-gold-alloy UCLA abutments, with or without electrodeposited gold coatings attached to external hexagon implants. Materials and methods: Sixteen plastic UCLAs (PUCLAs) were cast with a high-gold-content alloy. Eight were electrolytically gold plated. Five machined cast-to-UCLA (GUCLA) control abutments were cast with the same alloy. All abutments were attached to external hexagon implants, giving 21 implant-abutment combinations (IACs). External perimeter micro-gaps measured with SEM under shadow eliminating silhouette illumination and 2000× magnification were averaged over three regions. The IACs were examined for E. coli leakage following an initial sterility test. Disassembled combinations were examined with SEM, and surface profiles were qualitatively assessed. Results: External micro-gap measurements did not reflect the variable connecting surface profiles, but average values < 5.0 μm were observed for all IACs measured under the shadow eliminating silhouette illumination for both cast and pre-machined external hexagon abutments with and without Au plating. E. coli transfer was observed in 3 of 5 PUCLA-plated and 2 of 5 PUCLA-non-plated IACs. No transfer occurred in the 3 GUCLA-non-plated or 2 GUCLA-plated control IACs. Abutment connecting surfaces, both Au-plated and not Au-plated, showed plastic deformation (smearing) in variable mosaic patterns across the micro-gap. Conclusions: Micro-gap dimensions < 5μm were obtained with both the high noble metal cast and pre-machined control external hexagon abutments with and without Au electrodeposited on the abutment connecting surface. Regions of intimate contact due to plastic deformation (smearing) of these surfaces were observed. A continuous smeared region around the circumference of the surfaces can provide an effective barrier to the egress of E. coli bacteria from the internal regions of the implant under static loading. The sample size was insufficient to determine if the gold coating resulted in a superior bacterial barrier.
Strategies to Enhance Biomedical Device Performance and Safety: A Comprehensive Review
Authors: Sánchez-Bodón Julia , Diaz-Galbarriatu Maria , Pérez-Álvarez Leyre , Moreno-Benítez Isabel , Vilas-Vilela José Luis
Published: November 2023

This paper reviews different approaches to obtain biomaterials with tailored functionalities and explains their significant characteristics that influence their bioactivity. The main goal of this discussion underscores the significance of surface properties in materials, with a particular emphasis on their role in facilitating cell adhesion in order to obtain good biocompatibility and biointegration, while preventing adverse effects, such as bacterial contamination and inflammation processes. Consequently, it is essential to design strategies and interventions that avoid bacterial infections, reducing inflammation and enhancing compatibility systems. Within this review, we elucidate the most prevalent techniques employed for surface modification, notably emphasizing surface chemical composition and coatings. In the case of surface chemical composition, we delve into four commonly applied approaches: hydrolysis, aminolysis, oxidation, and plasma treatment. On the other hand, coatings can be categorized based on their material composition, encompassing ceramic-based and polymer-based coatings. Both types of coatings have demonstrated efficacy in preventing bacterial contamination, promoting cell adhesion and improving biological properties of the surface. Furthermore, the addition of biological agents such as drugs, proteins, peptides, metallic ions plays a pivotal role in manifesting the prevention of bacterial infection, inflammatory responses, and coagulation mechanism.
Pre-Service Teachers’ Attitudes toward Integrating Digital Games in Learning as Cognitive Tools for Developing Higher-Order Thinking and Lifelong Learning
Authors: Eyal Liat , Rabin Eyal , Meirovitz Tamar
Published: November 2023

The purpose of this study is to examine how pre-service teachers’ training influences the integration of digital games into teaching. In a quantitative and qualitative study, pre-service teachers’ perceptions of their techno-pedagogical knowledge were examined along with their attitudes about games as effective cognitive tools for developing higher-order thinking and lifelong learning. A sample of 108 pre-service teachers followed a 2 × 2 research model distinguishing between those who had or had not received training and those who did or did not teach using digital games. Results showed that teaching with digital games and attitudes toward integrating them into the classroom were positively correlated. Additionally, a higher level of techno-pedagogical knowledge was perceived by those with direct experience with digital games. Teaching with digital games enhances students’ thinking processes and lifelong learning skills, according to pre-service teachers. Theoretical knowledge about lifelong learning and higher-order thinking, accompanied by hands-on experience in implementing digital games, should be applied to pre-service teacher training programs.
Objective Video Quality Assessment and Ground Truth Coordinates for Automatic License Plate Recognition
Authors: Leszczuk Mikołaj , Janowski Lucjan , Nawała Jakub , Zhu Jingwen , Wang Yuding , Boev Atanas
Published: November 2023

In the realm of modern video processing systems, traditional metrics such as the Peak Signal-to-Noise Ratio and Structural Similarity are often insufficient for evaluating videos intended for recognition tasks, like object or license plate recognition. Recognizing the need for specialized assessment in this domain, this study introduces a novel approach tailored to Automatic License Plate Recognition (ALPR). We developed a robust evaluation framework using a dataset with ground truth coordinates for ALPR. This dataset includes video frames captured under various conditions, including occlusions, to facilitate comprehensive model training, testing, and validation. Our methodology simulates quality degradation using a digital camera image acquisition model, representing how luminous flux is transformed into digital images. The model’s performance was evaluated using Video Quality Indicators within an OpenALPR library context. Our findings show that the model achieves a high F-measure score of 0.777, reflecting its effectiveness in assessing video quality for recognition tasks. The proposed model presents a promising avenue for accurate video quality assessment in ALPR tasks, outperforming traditional metrics in typical recognition application scenarios. This underscores the potential of the methodology for broader adoption in video quality analysis for recognition purposes.
Self-Supervised Clustering Models Based on BYOL Network Structure
Authors: Chen Xuehao , Zhou Jin , Chen Yuehui , Han Shiyuan , Wang Yingxu , Du Tao , Yang Cheng , Liu Bowen
Published: November 2023

Contrastive-based clustering models usually rely on a large number of negative pairs to capture uniform representations, which requires a large batch size and high computational complexity. In contrast, some self-supervised methods perform non-contrastive learning to capture discriminative representations only with positive pairs, but suffer from the collapse of clustering. To solve these issues, a novel end-to-end self-supervised clustering model is proposed in this paper. The basic self-supervised learning network is first modified, followed by the incorporation of a Softmax layer to obtain cluster assignments as data representation. Then, adversarial learning on the cluster assignments is integrated into the methods to further enhance discrimination across different clusters and mitigate the collapse between clusters. To further encourage clustering-oriented guidance, a new cluster-level discrimination is assembled to promote clustering performance by measuring the self-correlation between the learned cluster assignments. Experimental results on real-world datasets exhibit better performance of the proposed model compared with the existing deep clustering methods.