bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analgesic effects of oral Yokukansan on acute postoperative pain and involvement of the serotonin nervous system: A mouse model study
Authors: Kurita Shuichiro , Sasaki Mika , Tanaka Moegi , Baba Hiroshi , Kamiya Yoshinori 
Published: August 2023

Abstract

Background
Yokukansan (YKS), a traditional Japanese medicine (Kampo), has been widely used to treat neurosis, dementia, and chronic pain. Previous in vitro studies have suggested that YKS acts as a partial agonist of the 5-HT1A receptor, resulting in amelioration of chronic pain through inhibition of nociceptive neuronal activity. However, its effectiveness for treating postoperative pain remains unknown, although its analgesic mechanism of action has been suggested to involve serotonin and glutamatergic neurotransmission. This study aimed to investigate the effect of YKS on postoperative pain in an animal model.
Methods
A mouse model of postoperative pain was created by plantar incision, and YKS was administered orally the day after paw incision. Pain thresholds for mechanical and heat stimuli were examined in a behavioral experiment. In addition, to clarify the involvement of the serotonergic nervous system, we examined the antihyperalgesic effects of YKS in mice that were serotonin-depleted by para-chlorophenylalanine (PCPA) treatment.
Results
Serotonin immunoreactivity in the spinal dorsal horn was entirely abolished by PCPA pretreatment; however, it did not change the pain threshold after paw incision. YKS increased the pain threshold in a dose-dependent manner, whereas the antihyperalgesic effect of YKS was significantly attenuated by PCPA as compared with that in postoperative pain model mice without PCPA treatment.
Conclusion
In this study, we revealed that oral administration of YKS had acute analgesic effects in a mouse model of postoperative pain, and our behavioral experiments using serotonin-depleted mice suggested that YKS acts as a partial agonist of one of the serotonin receptors.
The Effect of Health-Related Quality of Life on Academic Success in Nursing Students: The Mediating Role of Academic Burnout and Academic Motivation
Authors: Torkani Fatemeh , Vasli Parvaneh 
Published: August 2023

Abstract

Background
Identifying the key factors that affect academic success in nursing students, including health-related quality of life, academic burnout, and academic motivation has been to date of utmost importance. In this sense, the present study aimed to investigate the effect of health-related quality of life on academic success, as mediated by academic burnout and academic motivation.
Methods
This cross-sectional study was fulfilled upon recruiting 262 eligible nursing students, selected via convenience sampling. To collect the data regarding health-related quality of life, academic burnout, and academic motivation, the 12-item Short Form Health Survey, the Academic Motivation Scale, and Breso’s Academic Burnout Scale, were respectively administered. Moreover, the nursing program grade point average was considered as the measure of academic success. The data analysis was further performed using the SPSS Statistics (ver. 26) and Mplus (ver. 6.12) software packages at the significance level of 0.05.
Results
The study results showed that although health-related quality of life did not directly affect academic success, it can increase academic success by 0.005 through mediating intrinsic motivation. In addition health-related quality of life can increase academic success through mediating academic burnout and intrinsic motivation by 0.013 (p ≤ 0.05), which means academic burnout and intrinsic motivation significantly mediates the path from the health-related quality of life to academic success.
Conclusions
In accordance with the study results, nursing education planners and instructors are recommended to develop and implement proper measures to enhance academic success in nursing students, and then promote their health-related quality of life and academic motivation, thereby reducing academic burnout.
Nursing students’concerns towards nursing, in the south-west of Iran during 2022–2023: A cross-sectional study
Authors: Rafiee Ghazanfar 
Published: August 2023

Abstract

BackgroundSelecting a career is the young people's main concern and is considered as one of the most important decisions that a person will make his/her in their lifetime. This study aimed at determining concerns among undergraduate nursing students regarding nursing.Methods300 participants were enrolled in the study. This study was descriptive-analytical cross-sectional. The research population consisted of 400 male and female undergraduate nursing students in Nursing and Midwifery Faculty. A researcher-made questionnaire that assessed the nursing students’ concerns towards the nursing profession with three sub-dimensions such as personal concerns(12 items), interpersonal concerns(3 items, social concerns(5 items) was used. After completion of the validation and reliability, the scale was reduced to 19 items. Using a 5-point Likert scale, we evaluated all responses to the second part of the questionnaire from 1 (strongly disagree) to 5 (strongly agree).ResultsThe majority of the students (55.7%) were female, (age range 18–35); 86.9% of them were single, 44.3% of them were males, (age range 18–29). It was revealed that there was no statistically significant difference between some items. However, there was statistically significant difference between some other items.ConclusionIt was determined that the majority of the participants chose nursing for the purpose of easily securing a job, that the participants held a negative perception of the profession and had a dream profession other than that of nursing. The majority of participants were concerned regarding the fact that they chose the nursing field in the university entrance exam and were studying in the nursing field. The society doesn’t respect the obtained clinical scientific capabilities of nurses and does not pay attention to the spiritual and humanitarian aspects of this field.
Exploring land and sea transport options for the installation of green artificial reefs (GARs) in shallow waters: the case study of Galician estuaries
Authors: Barros Juan José Cartelle , Munín-Doce Alicia , Castro-Santos Laura , Lamas Javier , Carral Luis 
Published: August 2023

Abstract
The aim of the present paper is to propose a new methodology for the production and installation of green artificial reefs (GARs) in shallow waters, with special attention to the transport stages. The process includes both onshore (manufacturing, road transport and unload at port) and offshore (load at port, sea transport, positioning, and deployment tasks) stages. Two different types of truck were analysed for the road transport. Furthermore, three different options were considered for the sea one: a workboat powered by liquefied natural gas, a barge using diesel (ECA distillate, 0.1% sulphur) as fuel, and an electric specific design barge. A simulation tool called AGARDO (Automatic Green Artificial Reef Deploy Optimisation) was developed for such a purpose. An estuary located in Galicia (North-West of Spain), where 180 GAR units must be installed, has been considered as case study. AGARDO was used to obtain results concerning process total time, equivalent CO2 emissions and costs for different scenarios. Consequently, the use of the proposed methodology allows the decision-maker to select the best option in terms of costs, emissions and time. AGARDO can be easily adapted to other case studies, with different onshore and offshore options.
Antinuclear Antibodies: Safety Assessments, Radioiodination and Preclinical Evaluations in Pc3 Xenograft Mice
Authors: Nguyen Thi Thu , Nguyen Thu Minh Chau , Hoang Lu Duc Chinh , Nguyen Quang Chien , Nguyen Thi-Khanh-Giang , Nguyen Thi Ngoc , Nguyen Thanh Binh , Dang Ho Hong Quang , Bui Van Cuong , Pham Thanh Minh 
Published: August 2023

Abstract

This study aims to provide in vitro and in vivo data to support the utilization of antinuclear antibodies (ANAs) as novel tools for the diagnosis and treatment of prostate cancers. The hematological, biochemical, and histological toxicities of ANAs were assessed, and they were labeled with 131I using the chloramine T method. A radioimmunoconjugate was developed, and the biodistribution and treatment efficacy were subsequently investigated in a PC3 xenograft model. No changes in clinical behavior or signs of intoxication, necrosis, or malignancy were observed in ANA-treated mice. 131I-ANA was obtained in very high yield and radiochemical purity, and it exhibited good immunoreactivity with PC-3 cells. Levels of radiolabeled ANAs were higher in tumor tissues than in other examined organs, in association with significantly inhibited tumor growth and a nearly twofold improvement in median survival. These results demonstrate that radioimmunotherapy of radiolabeled natural ANAs may be an effective treatment for prostate tumors.
Mechanistic analysis of the hardening process of the thorns on stems of Bougainvillea spectabilis Willdenow
Authors: Sun Lina , Wang Xinhua , Li Jinhua , Gong Jianying , Yang Shuting , Yang Kaitai , Chen Er , Li Bing , Lu Zhixiang , Chen Qi , Mao Lin 
Published: August 2023

Abstract
Background
Bougainvillea spectabilis Willdenow is thorny woody vine or shrub. The rigidity of the thorns on the stems should be considered as a horticultural character. In order to find the genes and pathways related to the hardening process of the thorns on the stems of B. spectabilis, the eukaryotic unreferenced transcriptome sequencing analysis is applied to explore the 3 stages of the thorns hardening process.
Results
This study investigates the transcriptomic changes in B. spectabilis plants during the process of thorns hardening. 3 developmental stages from thorns formation (stage 1) to thorns hardening (stage 2 to stage 3) were examined. Total RNA was extracted from thorns and stems, and transcriptome libraries were constructed and sequenced using unreferenced Illumina sequencing. Gene function annotation was performed using various databases, resulting in 8937 co-annotated genes. The density distribution of Fragments Per Kilobase of transcript per Million mapped reads (FPKM) depicted the overall gene expression patterns. Gene expression correlation analysis confirmed the reliability of the experiment, showing strong similarity among biological replicates. Differential expression analysis revealed that during thorns hardening, 1045 genes significantly up-regulated in thorns and 918 in stems at stage 2 compared to thorns formation (stage 1). At stage 3, as thorns became harder, 98 genes exhibited notable expression increase within thorns, and 46 genes up-regulated in stems, compared to stage 2. These findings highlight stage 2 as the period of highest gene expression activity during the thorns hardening process in B. spectabilis. Phenylpropanoid biosynthesis is a key step in the hardening process of the thorns of B. spectabilis. This transcriptome analysis offers insights into the molecular mechanisms underlying thorns development in this plant species.
Conclusion
The formation and hardening of thorns on the stem of B. spectabilis is a process in which lignin gradually accumulates in the thorns, and several genes are involved in the process. The phenylalanine ammonia-lyase, trans-cinnamate 4-monooxygenase, reductase4-coumarate-CoA ligase, cinnamoyl-CoA reductase, cinnamyl-alcohol dehydrogenase and peroxidase are the key genes for lignin synthesis and accumulation. The process involves the pathways-phenylpropanoid biosynthesis.
Recruitment of biofouling assemblages in a coral reefs ecosystem: combined effects of reduced grazing and nutrient enrichment on functional groups
Authors: Jamshidi Mohammad Mehdi Zamani , Seyfabadi Jafar , Nasrolahi Ali , Marnani Hamid Rezai 
Published: August 2023

Abstract
While the coral reefs in the Persian Gulf have adapted to withstand some of the most challenging environmental conditions, overfishing and eutrophication can disrupt the structure of their associated epibenthic assemblage. In this study, we investigated the effects of reduced grazing pressure and nutrient pollution on the assemblage structure of biofouling functional groups in the coral reefs of Hengam Island in the Persian Gulf. We conducted a 21-month manipulative experiment using settlement tiles to assess these effects. A total of 40 biofouling taxa were identified, none of them belonged to reef-building corals or the key facilitators of coral settlement, such as coralline algae and calcareous sponges. Our results revealed that nutrients played a significant role in shaping the composition of biofouling assemblages associated with the reefs, suggesting a bottom-up control mechanism rather than top-down regulation in the coral ecosystem of the island. When grazers were excluded, biofouling cover percentage increased and biofilms and turf algae propagules dominated. However, the effect of grazers on cover percentage was overshadowed by nutrient enrichment. Furthermore, increased nutrients resulted in the proliferation of of foliose and frondose macroalgae. Our results suggest that herbivores can reduce the coral-competing functional groups only in the absence of other confounding factors such as nutrient pollution.
Tracing the Land Use Changes in Ishurdi and Bheramara Upazila, Bangladesh: Application of Google Earth Engine
Authors: Uddin Md. Jahir , Kabir Md. Shahariar 
Published: August 2023

Abstract
The main objective of this study is to observe the land use and land cover changes in the emerging zone of Bangladesh. Therefore, this research utilizes the Ishurdi and Bheramara upazilas, renowned for the industrial agglomerated area in Bangladesh. The study utilized Google Earth Engine to examine land use and land cover patterns in the region from 1990 to 2021, focusing on 5-year intervals.. We used Landsat imagery to create a land use category and employed a random forest classifier for classification. The analysis entailed utilizing Markov Cellular Automaton Model analysis, while anticipated changes were projected using TerrSet and ArcGIS software tools. The study area experienced changes in vegetation and built-up areas from 1990 to 2021, and obviously in 2041, with a notable decrease in vegetation and an increase in developed areas. The projected trend estimates a significant growth of 77.97% in developed areas between 2022 and 2041. Furthermore, river erosion will also drive the future land use scenario in 2041. Additionally, the overall accuracy exceeds an impressive level of reliability at 86.84%. This study can help local government officials, developers, and other organizations make informed decisions about land use and cover policies for resource management, sustainable development, and public planning.
TNBC Molecular Subtypes and Risk Signatures Based on Copper Metabolism: Prognostic and Immunological Importance
Authors: zhan Chenni , yang Ouou , luo Hua , Su Kunlun , Xu Haibin , Hu Zujian , Fu Xueyan 
Published: August 2023

Abstract
Background
Cuproptosis is a copper-dependent cellular death mechanism linked to tumor progression, prognosis, and immune response. Yet, the precise impact of copper-related genes (CRGs) on the tumor microenvironment (TME) within triple-negative breast cancer (TNBC) remains enigmatic.
Methods
In total, we collected 222 samples of triple-negative breast cancer (TNBC) from The Cancer Genome Atlas database and three Gene Expression Omnibus datasets. The classification was carried out utilizing R software packages. Simultaneously, unsupervised clustering analysis using the ConsensusClusterPlus R package was applied to establish a consensus molecular subtyping of copper subtypes. We thoroughly investigated the relationships between the various subgroups and their clinical pathological characteristics, immune infiltration traits, as well as the mutation status of the tumor microenvironment (TME). Lastly, to enhance the clinical utility of the CRG_score, we developed a nomogram and a calibration curve to predict the probability of patient survival.
Results
A comprehensive set of 196 CRGs underwent meticulous analysis, leading to the identification of 14 genes that distinctly impact the survival outcomes of patients across all cohorts. Based on risk scores, patients were stratified into different groups. Pathway enrichment analysis revealed pronounced enrichment of immune-related pathways across all datasets. Intriguingly, our observations unveiled that the high-risk CRG group exhibited heightened expression of all immune checkpoints and genes associated with antitumor activities. Correspondingly, a substantial proportion of the mentioned immune genes, with the exception of CD274, HAVCR2, CXCL9, and TNF, showcased elevated expression within gene cluster A. Furthermore, a predictive nomogram was meticulously crafted, leveraging patient characteristics and risk scores, to prognosticate the outcomes of patients diagnosed with hepatocellular carcinoma (HCC).
Conclusion
In this study, we constructed a cuproptosis least absolute shrinkage and selection operator (LASSO) Cox regression model. It was revealed to be a potential independent prognostic indicator of HCC and high CRGs samples showed a poor prognosis. Interestingly, CRGs were correlated with TME characteristics as well as clinical treatment efficacy. Importantly, compared with the low-risk CRGs group, the high-risk CRGs group may benefit from immunotherapy treatment.
Reinforcement Learning based approach for Underwater Environment to evaluate Agent Algorithm
Authors: R Shruthi K , C Kavitha 
Published: August 2023

Abstract

A lot of research is undergoing in Underwater as it has huge applications. An underwater network is a delay-tolerant network [1][2] due to its intermittent characteristics. Underwater acoustic communication enables communication undersea. Wireless sensor nodes underwater are sparsely placed due to environmental characteristics [3] to gather information. Communication undersea is tedious because of noise and varying environments. Since the underwater environment is highly unpredictable due to its nature, there doesn’t exist a constant path or route between wireless sensor nodes. And the battery of sensor nodes is a major concern as they cannot be replaced frequently. Therefore, it's necessary to design an algorithm that can establish a path to the destination dynamically based on the environmental conditions and the node’s battery level. In this paper, the authors have proposed a Reinforcement Learning approach to evaluate sensor nodes’ performance. Many machine learning algorithms have used only the epsilon greedy action selection method. But here, four different types of action selection methods are used for the routing purpose. Based on the threshold level, an appropriate action selection method is chosen. The validation of the proposed approach is carried out by comparing the RL algorithm with other baseline algorithms. Experimental results showcase RL algorithm outperforms other baseline algorithms.
Cot-DCN-YOLO: Self-attention-enhancing YOLOv8s for Detecting Garbage Bins in Urban Street View Images
Authors: Dai Jiguang , Xu Wenhao , Zhang Tengda , Wu Yujie , Chen Tong , Li Yan 
Published: August 2023

Abstract
Accurately and quickly obtaining information from garbage bins has great application value in smart city construction and urban environmental management. However, existing deep learning methods are affected by factors such as occlusion, large geometric appearance differences, and multi-scale, leading to missed detections in garbage bin detection results. We propose a Cot-DCN-YOLO model for garbage bin detection, which is designed to effectively extract contextual information with the Double Convolutions Semantic Transformation (DCST) module, which addresses the vulnerability of garbage bins to occlusion. According to the large geometric appearance differences when garbage bins are damaged, we propose the C2f embedded with DCNv2 (DC2f) module, which can adaptively adjust the target shape with a flexible receptive field. Furthermore, considering the multi-scale characteristics of garbage bins in images, we introduce the SPPCSPC module. Experimental results show that compared with other methods, Cot-DCN-YOLO achieves the best results on our self-made garbage bin dataset, with Precision, Recall, and mAP reaching 77.1%, 69.4%, and 74.0%, respectively, outperforming existing SOTA methods.
Microbiome variation at the clam-sediment interface may explain changes in local productivity of Chamelea gallina in the North Adriatic Sea
Authors: Trapella Giulia , Cinti Nicolò , Parma Luca , De Marco Antonina , Dell’Acqua Andrea Nicolò , Turroni Silvia , Rampelli Simone , Scicchitano Daniel , Iuffrida Letizia , Bonaldo Alessio , Franzellitti Silvia , Candela Marco , Palladino Giorgia 
Published: August 2023

Abstract
Background
Chamelea gallina is an ecologically and economically important marine species in the Northwestern Adriatic Sea, which currently suffers from occasional, and still unexplained, widespread mortality events. In order to provide some glimpses in this direction, this study explores the connections between microbiome variations at the clam-sediment interface and the nutritional status of clams collected at four Italian production sites along the Emilia Romagna coast, with different mortality incidence, higher in the Northern sites and lower in the Southern sites.
Results
According to our findings, each production site showed a peculiar microbiome arrangement at the clam-sediment interface, with features that clearly differentiate the Northern and Southern sites, with the latter also being associated with a better nutritional status of the animal. Interestingly, the C. gallina digestive gland microbiome from the Southern sites was enriched in some health-promoting microbiome components, capable of supplying the host with essential nutrients and defensive molecules. Furthermore, in experiments conducted under controlled conditions in aquaria, we provided preliminary evidence of the prebiotic action of sediments from the Southern sites, allowing to boost the acquisition of previously identified health-promoting components of the digestive gland microbiome by clams from the Northern sites.
Conclusions
Taken together, our findings may help define innovative microbiome-based management strategies for the preservation of the productivity of C. gallina clams in the Adriatic Sea, through the identification and maintenance of a probiotic niche at the animal-sediment interface.