bluuebunny/crossref_metadata_2025_split huggingface dataset:
Immune responses and immunoglobulin gene expression of Streptococcus agalactiae infected Nile Tilapia and the effective dose of inactivated Streptococcus agalactiae vaccine for Nile tilapia (chitralada 3 strain) in Thailand
Authors: Khunrang Thanakorn , Pooljun Chettupon , Wuthisuthimethavee Suwit 
Published: August 2023

Abstract

Streptococcus agalactiae is the primary pathogen in the Nile tilapia (Oreochromis niloticus) culture and creates an impact through economic damage. the immune system functioned to eliminate the pathogen in infected fish. This study demonstrated the effect of different bacterial concentrations on tilapia immunity and optimal vaccine concentration to induce immunity in Nile tilapia. The experiment was performed at 102, 104, 106, 108, and 1010 CFU/fish of S. agalactiae compared with the control (PBS) through intraperitoneal injection for 72 h. Immunoglobulin gene expression, antibody titers, and blood smeared to measure the survival rate. The vaccine experiment investigated formalin-inactivated S. agalactiae vaccination and administered S. agalactiae injections for 14 days. The statistic revealed a significant difference (p < 0.05) in the 108 and 1010 CFU/fish injections with high survival rates (62.22% and 53.33%, respectively). Immunoglobulin gene expression was highly represented in the 1010 CFU/fish injection; antibody titers were significantly improved from the control treatment, and antibody levels were high in the 1010 CFU/fish injection. The comparison of the blood measurement from the blood smear technique indicated gradual leucocyte enhancement, especially of lymphocytes. In addition, the erythrocyte/leucocyte ratio was reduced in the highly bacterial injection, in which the experiment disclosed that the leucocytes increased. Conversely, the erythrocytes stayed at the same number. The lymphocytes were almost two-fold in 1010 CFU/fish compared to 108 CFU/fish. As depicted in the lowest concentration of 106 CFU/fish, the vaccine performance had a high relative percent survival (RPS) at 86.67%. This research suggested that the tilapia infected with high S. agalactiae concentrations did not affect the mortality of the tilapia, and vaccine concentration was effective in 106 CFU/fish.
Do we need standardized management after Termination-of-Resuscitation Attempts? Autoresuscitation in a 67-year-old woman: a case report
Authors: Pasierski Janina , Kleger Gian-Reto , Imboden Paul 
Published: August 2023

Abstract
Background: Autoresuscitation is the phenomenon of spontaneous return of circulation after cessation of CPR, also known as the Lazarus syndrome or phenomenon. Most of the evidence is based on case reports and a few systematic reviews, which focus on the mechanisms leading to autoresuscitation or the timing of it. The occurrence of autoresuscitation may lead to self-reproach and dismay in affected emergency personnel and may rise questions about the correct procedure after terminating resuscitative efforts. In contrast to existing cardiac arrest guidelines there is no standardized approach to terminating resuscitative attempts.
Case: We report a case of out of hospital autoresuscitation in a 67-year-old female after 60 minutes of advanced cardiac life support. After shock refractory ventricular fibrillation as well as pulseless ventricular tachycardia, we recorded pulseless electrical activity and fixed pupils. Since the patient was in the ambulance at the time the cardiopulmonary resuscitation was abandoned, a discussion with the responsible medical authorities followed. It was decided that the body should be taken to the hospital for further legal medical examination. In the meantime, all monitoring devices were removed. On arrival the patient surprisingly showed signs of life, so that she was immediately taken to the emergency department. Due to the suggestive history, a coronary angiography was performed, showing three-vessel coronary heart disease which necessitated surgical intervention. Before transferring the patient to a cardiac surgery center, sedation was reduced to investigate neurological damage. Ten days after ACBP surgery the patient was transferred to the cardiological ward and a week later she was finally discharged to neurological rehabilitation.
Conclusion : As already proposed by existing literature, there should be at least a 10-minute interval of close monitoring after abandoning CPR. Transport of a deceased patient should only take place after secure signs of death, such as postmortem lividity, can be detected. In our case we were confronted with a shock refractory shockable rhythm which deteriorated into a pulseless electrical activity. Further investigation is needed to determine which patients are most likely to benefit from an extended observation period. Our case reports highlights the difficulties in death declaration and the importance of close monitoring after abandoning CPR.
Risk analysis of rainstorm-urban lifeline system disaster chain based on PageRank-risk matrix and complex network
Authors: Guo Haixiang , He Xinyu , Lv Xinbiao , Wu Yang 
Published: August 2023

Abstract

This study aims to enhance emergency response and decision-making capabilities for rainstorm disasters. It begins by analyzing 87 such disasters worldwide and summarizing secondary events across 15 urban lifeline systems. Based on these findings and the characteristics of rainstorm disaster evolution and complex network theory, the study constructs a model of rainstorm disaster chains in urban lifeline systems, conducting both partial and overall analyses of this model. Using a PageRank-risk matrix, the study calculates quantitative node risk levels for different parts of the model and applies complex network theory to assess overall chain risk. The results show that the highest risk disaster chain is ‘flood → submerged or collapsed houses → damaged roads → traffic congestion or paralysis’. The most important node is ‘traffic congestion or paralysis’, underlining the acute need for emergency response measures in urban traffic systems during a rainstorm disaster. Overall, this research provides crucial direction for preventing rainstorm disasters in urban lifeline systems.
Bifurcation analysis of the soliton solutions to the Doubly dispersive equation in elastic inhomogeneous Murnaghan’s rod
Authors: Rayhanul Islam S. M. 
Published: August 2023

Abstract
The Doubly Dispersive Equation (DDE) finds extensive utility across scientific and engineering domains. It stands as a significant nonlinear physical model elucidating nonlinear wave propagation within the elastic inhomogeneous Murnaghan’s rod (EIMR). With this in mind, we have focused on the integration of the DDE model and the advanced auxiliary equation (AAM) scheme. Through wave transformation, this model is effectively converted into an ordinary differential equation. In this paper, the goal of our work is to explore new wave solutions of the DDE model by using AAE scheme, which solutions are extremely helpful insights into the operation of the system. The impacts of the parameters are provided in this manuscript. We also discussed about the dynamical properties of the model, which is accomplished through bifurcation and stability investigations and also found the Hamiltonian function. This research makes a substantial contribution to the area by increasing our understanding of soliton solutions in the DDE, introducing novel investigation tools, and carrying out an in-depth investigation of the bifurcation and stability aspects of the system. As a direct result of this research, novel openings have been uncovered for further investigation and application in the various disciplines of science and engineering.
Flower Species Ingredient Verification Using Orthogonal Molecular Methods
Authors: Ragupathy Subramanyam , Thirugnanasambandam Arunachalam , Henry Thomas , Varathan Vinayagam , Ragupathy Sneha , Newmaster Steven G. 
Published: August 2023

Abstract

Flowers are gaining considerable interest by consumers as ingredients in food, beverages, cosmetics, and natural health products. The supply chain trades in multiple forms of botanicals including fresh whole flowers, which are easier to identify than dried flowers or flowers processed as powdered or liquid extracts. There is a gap in the scientific methods available for the verification of flower species ingredients traded in the supply chain of multiple markets. The objective of this paper is to develop methods for flower species ingredient verification using two orthogonal methods. More specifically the objectives of this study employed both 1) DNA based molecular diagnostic methods, and 2) NMR metabolite fingerprint methods in the identification of 23 common flower species ingredients. NMR data analysis reveals considerable information on the variation of metabolites present in different flower species including color variants within species. This study provides a comparison of the benefits and limitations of alternative methods for flower species ingredient supply chain verification needed to support quality assurance. The metabolomic approach provides a basis for understanding the phytochemical structure of natural products that may be eventually linked to efficacy in clinical trials and label claims with respect to health benefits of specific botanical formulations.
Research on the phenomenon and mechanism of rheological instability of PEO water-based solution
Authors: Liang Shunke , Sun Guangyong , Huang Ping 
Published: August 2023

Abstract
During study of non-Newtonian properties of PEO water solutions by using a flat plate rheometer, an unusual oscillation has been found out. In this paper, the reason of the oscillation occurring at the high shear rates is investigated and discussed. After excluding possibilities of turbulence, oil film oscillation and secondary fluid, the cause of the new oscillation has been analyzed in-depth, combining with the non-Newtonian fluid constitutive equations with the limit shear stress. The mechanism of the oscillation is that slippage occurs between the fluid and solid interface because its shear stress has reached the limit. The slippage presents as stick-slip which is a randomized phenomenon with a significant fluctuation property. As the slip region increases, the shear stress oscillation will exacerbate. When the average shear stress is close to the limit shear stress, that is, the slippage occurs on most of the surface, the constitutive curve no longer increases, but may start to decline on the contrary, showing the buckling characteristic. The decrease in shear stress will bring about a decrease of the load-carrying capacity of the lubricant film so as to lead to lubrication failure finally.
S100 A alarmins and Thymic stromal lymphopoietin (TSLP) regulation in severe asthma following bronchial thermoplasty
Authors: Gagnon Pierre-Alexandre , Klein Martin , Vos John , Biardel Sabrina , Côté Andréanne , Godbout Krystelle , Laviolette Michel , Laprise Catherine , Assou Said , Chakir Jamila 
Published: August 2023

Abstract
Rationale: Severe asthma affects a small proportion of asthmatics but represents a significant healthcare challenge. Bronchial thermoplasty (BT) is an interventional treatment approach preconized for uncontrolled severe asthma after considering biologics therapy. Success of the recently approved anti-TSLP and BT in improving asthma control regardless of asthma inflammatory endotype reemphasize the role of bronchial epithelium and its secreted mediators in severe asthma pathophysiology.
Objectives: Identifying new potential pathophysiological pathways relevant to severe asthma and modulated by bronchial thermoplasty.
Methods: In this study we evaluated the transcriptome of cultured bronchial epithelial cells (BECs) of severe asthmatics obtained pre- and post-BT treatment using microarrays. We further validated gene and protein expressions in BECs and in bronchial biopsies with immunohistochemistry pre- and post-BT treatment.
Measurements and main results: Transcriptomics analysis revealed that a large portion of differentially expressed genes (DEG) was involved in anti-viral response, anti-microbial response and pathogen induced cytokine storm signaling pathway. S100A gene family stood out as five members of this family where consistently downregulated post-BT. Further validation revealed that S100A7, S100A8, S100A9 and their receptor (RAGE, TLR4, CD36) expressions were highly enriched in severe asthmatic BECs. Further, these S100A family members were downregulated at the gene and protein levels in BECs and in bronchial biopsies of severe asthmatics post-BT. TLR4 and CD36 protein expression were also reduced in BECs post-BT. Thymic stromal lymphopoietin (TSLP) and human b-defensin 2 (hBD2) were significantly decreased while no significant change was observed in IL-25 and IL-33.
Conclusions: These data suggest that BT might improve asthma control by downregulating epithelial derived S100A family expression and related downstream signaling pathways.
Identification of a worker arrestant aggregation pheromone in the Formosan subterranean termite Coptotermes formosanus
Authors: Mitaka Yuki , Matsuura Kenji , Akino Toshiharu 
Published: August 2023

Abstract
Pheromones play a pivotal role in coordinating collective activities. Recent research has demonstrated that workers of the Japanese subterranean termite, Reticulitermes speratus, secrete an aggregation pheromone that induces prolonged aggregation of nestmate workers, facilitating efficient dead-wood digestion and colony expansion. The question remains: do other termite species also utilize aggregation pheromones? In this study, we establish that workers of the Formosan subterranean termite, Coptotermes formosanus, also use an aggregation pheromone for sustained aggregation. Through bioassays and gas-chromatography mass-spectrometry (GC-MS) analysis, we determined that the pheromone possesses arrestant activity but no attractant activity. The primary constituents are four fatty acids: palmitoleic acid, palmitic acid, (Z)-10-heptadecenoic acid, and stearic acid. The inclusion of cholesterol and cuticular hydrocarbons reinforces its arrestant activity. Further, GC-MS examination of wood and soil extracts, which serve as termite food, indicated that nearly all of the aggregation pheromone components likely originate from the workers or their gut symbionts rather than their diet. These findings imply that the arrestant activity of the C. formosanus aggregation pheromone surpasses that of R. speratus and that the unique presence of odd-numbered fatty acids combined with conspecific CHCs ensures the species-specific nature of the aggregation pheromone components. This research sheds light on the pheromonal communication mechanisms driving aggregation behavior in termites.
Antitumor effect of tubeimoside-I on murine colorectal cancers through PKM2-dependent pyroptosis and immunomodulation
Authors: Hu Dongsheng , Cui Lingzhi , Zhang Sijia , He Siqi , Zhuo Yuzhen , Li Dihua , Zhang Lanqiu , Wang Yanli , Yang Lei , Wang Ximo 
Published: August 2023

Abstract
Induction of cancer cell death is a well-established treatment strategy, but many tumors can escape chemotherapy drug-mediated apoptosis. Pyroptosis is a kind of new inflammatory programmed cell death (PCD), which is crucial for immunity of the organism. Tubeimoside- I (TBMS1) is a plant-derived component with antitumor activity. However, the mechanism by which TBMS1 induces pyroptosis to inhibit colorectal cancer (CRC) remains unclear. In this study, we demonstrated that TBMS1 is able to induce pyroptosis in murine CRC cells, and releases pro-inflammatory cytokines. Mechanistically, we identified that TBMS1 inhibits cell migration and induces pyroptosis through activation of caspase-3, and cleavage of gasdermin E (GSDME) by inhibiting PKM2. Meanwhile, TBMS1 attenuated the weight of solid tumors, increased the proportion of CD8+ cytotoxic T cells, and reduced the content of M2 type macrophages in the spleen of tumor-bearing mice. Furthermore, TBMS1 restrained M2-like polarization by inhibiting the activation of Stat6 signal pathway in the RAW 264.7 cells. In conclusion, our results indicated that TBMS1 induces pyroptosis in CRC by targeting PKM2/caspase-3/GSDME signal axis and also regulates antitumor immunity in CRC. This study lays a potential theoretical foundation for the clinical application of TBMS1 in the treatment of CRC.
HHOA_NCA – a Harris Hawk Optimization Algorithm (HHOA) on best possible Node Capture Attack (NCA) in Future WSN for Improving the Security of Ubiquitous Computing Intelligent System
Authors: Khare Ankur , Gupta Rajendra , Shukla Piyush Kumar 
Published: August 2023

Abstract

Wireless Sensor Network (WSN) is exceedingly predisposed to quite a lot of complex attacks due to confine resource deployment in big network communiqué vicinity. The adversary initiates a node capture attack to future WSN for snatching the private data from ubiquitous computing intelligent system through confiscating vertices (sensor nodes) for cooperating full network. We develop a Harris Hawk Optimization Algorithm for Node Capture Attack (HHOA_NCA) to identify the vertices in ubiquitous computing having higher seizing chance by attack over future network system. HHOA_NCA applies on function sensor node participation with multi objectives such as sensor node key contribution through links, sensor node contribution, sensor node energy cost, distance between sensor nodes and sensor node velocity. Key contribution is the number of keys utilized by vertices. The contribution of sensor nodes is evaluated as the association among all paths and vertices. Sensor node energy cost is obtained on the basis of energy expenditure for packet transmission through vertices over WSN. The distance between two sensor nodes is evaluated using neighbourhood degree. The velocity is measured by the stability time of a sensor node. Simulation is performed in MATLAB 2019a environment and experimental outcomes represent the greater performance of HHOA_NCA based on compromised traffic fraction, power utilization cost, attacking rounds and complexity over future WSN. The results of simulation for ubiquitous computing show that the HHOA_NCA obtains better results than MA, PCA, FGA, MREA, GA, ACO, PSO, FiRAO-PG and FFOA for single and multipath routing based on all performance factors over future network system.
Modification of 316L steel powders with bronze using high energy ball milling for use as a binder component in PBF-LB/M printing of diamond-metal matrix composites
Authors: Tillmann Wolfgang , Ferreira Manuel Pinho 
Published: August 2023

Abstract
For the processing of diamond-metal matrix composites, the powder bed fusion using a laser for metals (PBF-LB/M), represents a new promising method for the additive manufacturing of diamond tools for concrete and rock machining, even with more complicated geometries. Previous research activities show a strong tendency for cracking and delamination during the construction process of the samples. This behavior is caused by thermal residual stresses associated with the embedded diamonds. To control these negative effects on the process side, the volume energy density is reduced accordingly, which, however, led to increased pore formation. This publication deals with an approach on the material side to modify a 316L stainless steel base powder with an addition of 20 wt% bronze via a high energy ball milling (HEBM) process in such a way that a homogeneous solid solution phase is created. A significantly increasing of the melting interval and a decreasing of both solidus and liquidus temperature was observed, which can reduce pore formation in the PBF-LB/M-process . In addition, XRD-diffractometry and SEM/EDS-analysis showed that the homogeneous solid solution phase of this alloyed powder segregates again into Fe- and Cu-rich phases when heated up to the melting point.
An Axial Attention-BiLSTM-based method for predicting the migration of CNC machine tool spindle thermal error under varying working conditions
Authors: Sun Jiacheng , Liu Zhenyu , Qiu Chan , Jiang Zhengyang , Mao Haoyang , He Liang , Tan Jianrong 
Published: August 2023

Abstract
Spindle thermal error is a major factor affecting the machining accuracy of machine tools. The time-consuming experiments required to model the thermal error of each machine tool spindle makes exhaustive studies difficult. Therefore, it is critically important to develop a transferable spindle thermal error prediction model that ensures robustness and accuracy, which provides theoretical guidance for the thermal error compensation and accuracy improvement of different machine tools. To achieve this, this paper proposes a migratory prediction method based on spatial-temporal axial attention bidirectional long short-term memory (Axial Attention-BiLSTM) network to predict the thermal error of computer numerical control (CNC) machine tool spindles under varying working conditions. By analyzing the mechanism of spindle thermal error generation, the spindle system is divided into multiple temperature regions, and the importance of each region is automatically determined by using the Spatial Attention mechanism. At the same time, considering the historical dependence of thermal error, BiLSTM is used to fuse the previous and following time series information and determine the weights of different time steps by Temporal Attention mechanism to strengthen the times series memory of thermal error prediction. An Axial Attention-BiLSTM model for thermal error prediction is built based on the spindle test bench. Compared with the BiLSTM and long short-term memory (LSTM) models, this model shows better and more stable prediction performance when migrated to various working conditions of horizontal CNC grinding machines.
Human tactile sensing and sensorimotor mechanism: from afferent tactile signals to efferent motor control
Authors: Wei Guowu , Wei Yuyang , McGlone Francis , Marshall Andrew , Makdani Adarsh , Zhu Yiming , Yan Lingyun , Ren Lei 
Published: August 2023

Abstract

Despite the recent advances in tactile sensing by low threshold mechanoreceptors, our understanding of human sensorimotor mechanisms, from the afferent tactile input to the efferent motor output controlling forearm muscles and hand manipulations, is still at a basic level. This is largely because of the difficulties in capturing population-level mechano-afferent nerve signals during active touch. The decoding of this sophisticated dynamic relationship as the applicable control algorithm for restoring human-like sensorimotor performance on prosthetics or robotics is a long-term scientific challenge. We use a novel method of integrating the finite element hand and neural dynamic model optimized against microneurography data to predict the group neural response of cutaneous neurons during active touch based on contact biomechanics and membrane transduction dynamics. The neural activation level of the muscle synergy during in-vivo experiments was evaluated using the predicted afferent neural responses. It was firstly found that the dynamic relationship between the afferent tactile signals and neural activation level of forearm muscles could be effectively simplified as transduction functions. The accuracy and applicability of the decoded transduction mechanism were validated by restoring the human-like sensorimotor performance on a tendon-driven biomimetic hand, making a further step toward the application of next-generation prosthetics with neuromorphic tactile feedback. From the transduction functions, it was deduced that human subjects may apply a similar sensorimotor strategy to grasp different objects actively or reactively, and the response time of this closed-loop control can be affected by the size and weight of the object.