bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on dynamic and static obstacle avoidance strategy and path planning of medical AGV based on the bionic characteristics of antelope migration
Authors: Hu Jing , Niu Junchao , Gao Xiang , Zhang Xinming 
Published: April 2024

Abstract

Aiming at the problem that Automated guided vehicle (AGV) faces dynamic and static obstacles in the process of transporting patients in medical environment and needs to avoid in real time, inspired by the behavior of antelopes during migration, this paper proposes a bionic obstacle avoidance strategy based on adaptive behavior of antelopes. The artificial potential field and dynamic window algorithm are improved by using the decircling strategy and conical visual distance during antelope migration. The limitations of traditional artificial potential field algorithm are improved by adding new potential field force points into the global planning, and the real-time obstacle avoidance ability of medical AGV is enhanced. The evaluation index of the algorithm is improved in local path planning, and the prediction range of AGV navigation is enlarged. Simulation experiments were carried out through the numerical simulation platform, and the verification results showed that:The bionic obstacle avoidance strategy proposed in this paper can avoid dynamic and static obstacles at the same time. In the example, the success rate of path planning is increased by 34%, the running time is reduced by 33%, and the average path length is reduced by 1%. The proposed method can realize the integration of "dynamic and static" avoidance in the process of transporting patients, and effectively save the time of transporting patients by AGV.It provides a theoretical basis for realizing obstacle avoidance and rapid loading of AGV in medical environment.
Physical Layer Secure Transmission in the Coexistence of V2I and V2V with RIS Assistance
Authors: Tang Zerong , Song Tiecheng , Hu Jing 
Published: April 2024

Abstract

The security of vehicle communication becomes increasingly important due to the transmission requirement of large-scale security and privacy data in the Internet of Vehicles (IoV). This paper investigates the physical layer secure transmission with reconfigurable intelligent surface (RIS) assistance in the coexistence of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V). It establishes a communication model for physical layer secure transmission where the eavesdropping user exists. Based on this model, we propose a V2I physical layer secure transmission rate (PLSTR) maximization problem and solve it by employing an alternating optimization algorithm based on generalized Rayleigh entropy and semi-definite relaxation programming so as to obtain optimal V2I base station precoding and RIS reflection coefficient matrix. Simulation results further validate the superiority of the proposed algorithm and analyze the impact of relevant parameters on system performance.
Hsa-circRNA-0015004 promotes hepatocellular carcinoma development via miRNA-330-3p/RCC2 axis
Authors: Zhao Jie , Zhang Tong , Wu Peng , Wu Kejia , Qiu Jiajing , Shi Longqing , Zhu Qiang , Zhou Jun 
Published: April 2024

Abstract

Background: Although circular RNAs (circRNA) have been demonstrated to modulate tumor initiation and progression, their roles in the proliferation of hepatocellular carcinoma (HCC) are still poorly understood.
Methods: Based on the analysis of GEO data (GSE12174), hsa-circRNA-0015004 (circ-0015004) was screened and validated in 80 sets of HCC specimens. Subcellular fractionation analysis was designed to determine the cellular location of circ-0015004. Colony formation and cell counting kit-8 were performed to investigate the role of circ-0015004 in HCC. Dual-luciferase reporter gene assays, RNA immunoprecipitation and chromatin immunoprecipitation were employed to verify the interaction among circ-0015004, miR-330-3p and regulator of chromatin condensation 2 (RCC2).
Results: The expression level of circ-0015004 was significantly upregulated in HCC cell lines and HCC tissues. HCC patients with higher circ-0015004 levels displayed shorter overall survival, and higher tumor size and TNM stage. Moreover, knockdown of circ-0015004 significantly reduced HCC cell proliferation in vitro and inhibited the growth of HCC in nude mice. Mechanistic studies revealed that circ-0015004 could upregulate the expression of RCC2 by sponging miR-330-3p, thereby promoting HCC cell proliferation. Furthermore, we identified that Ying Yang 1 (YY1) could function as an important regulator of circ-0015004 transcription.
Conclusions: This study systematically demonstrated the novel regulatory signaling of circ-0015004/miR-330-3p/RCC2 axis in promoting HCC progression, providing insight into HCC diagnosis and treatment from bench to clinic.
Development of a MEMS-Based Biosensor for Analyzing the Bio-Electrical Characteristics of Colon Cancer Cells
Authors: shameem Syed 
Published: April 2024

Abstract

Investigating the bioelectrical characteristics of individual cells can provide important information about many aspects of cellular processes and their roles in general health and disease conditions. Comprehending these attributes at the cellular level facilitates a more intricate comprehension of physiological mechanisms and creates novel opportunities for disease detection, management, and even averting. It's fascinating to observe how new methods and technological developments are allowing us to learn more about the intricacies of cellular biology and how they relate to human health. Since cancer cells have slightly lower capacitance and resistance values, the bioelectrical properties could be used as biomarkers for early cancer identification. Measurements were conducted on the capacitance and resistance of individual normal cell lines (IEC-6), and highly-invasive malignant (SW480) colon cancer cells using MEMS sensors during simulations. Normal cell resistance is 318kΩ, while normal cell capacitance is 8.12nF. These values differ from those of cancer cells, which have variable resistance and capacitance values (246kΩ and 3.91nF for SW480). At a frequency range of 200 Hz to 2 MHz significant difference is observed in impedance magnitude response values between normal cells (7.7 MΩ to 62kΩ) and cancer cells (7.1 MΩ to 54.9kΩ).
The Effects of Mindfulness on Shame: Exploring Mediation by Cognitive Flexibility and Self-Compassion in a Chinese Adult Population
Authors: Zhang Xiaoshuo , Wang Jinghong , Wang Yuzheng , Wang Jinyan , Luo Fei 
Published: April 2024

Abstract

Purpose: To examine the effects of mindfulness on shame and the mechanisms mediated by cognitive flexibility and self-compassion in a Chinese adult population.
Methods: We conducted two studies. Study 1 was a cross-sectional study using the Five-Factor Mindfulness Questionnaire, the Cognitive Flexibility Inventory, the Self-Compassion Scale, and the Self-Conscious Affect-3, which were administered to 481 adults in Beijing and Chengdu. Study 2: An 8-month follow-up study was conducted on 128 of the adults.
Results: The results of Study 1 showed that (1) the Awareness of Action, Nonjudgment dimensions, and the total score of mindfulness was significantly correlated with shame; (2) cognitive flexibility and self-compassion could fully mediate the prediction of mindfulness on shame. The Study 2 showed that (1) mindfulness and shame were significantly negatively correlated in both phases of measurement; (2) controlling for T1 shame, T1 mindfulness was able to negatively predict T2 shame; controlling for T1 mindfulness, T1 shame was not able to predict T2 mindfulness.
Conclusions: (1) There is a longitudinal causal relationship between mindfulness and shame; (2) both cognitive flexibility and self-compassion can provide explanations for the prediction of shame by mindfulness. Enhancing levels of mindfulness can help alleviate individuals' shame levels.
Multilingual Text Preprocessing and Classification For The Detection Of Extremism And Radicalization In Social Networks
Authors: Zerrouki Khadidja , Benblidia Nadjia 
Published: April 2024

Abstract

Due to the lack of strict controls on social networks, extremist groups like ISIS, Al-Qaeda, and white supremacists have taken advantage of these platforms to spread their ideas, distribute harmful content, and recruit new members. The information distributed through these channels is comprehensive, diverse, and conveyed in multiple languages. The study of online extremism and radicalization is a multifaceted and intricate area of research. The efficacy of machine learning, deep learning, and natural language processing (NLP) algorithms has been demonstrated. Although the majority of research in this field focuses on the analysis of data in a single language, there needs to be more studies on the analysis of multilingual data, specifically about detecting extremism in multilingual material. This research paper introduces the fabrication of an artificial intelligence system that leverages multilingual text posts from social networks to identify instances of extremism and radicalization. We utilize natural language processing (NLP) linguistic methods and text classification to identify extremism and radicalization in text data. Our study results are outstanding. The Bi-LSTM (Bidirectional et al.) model demonstrates a binary classification accuracy of 97.33%, and the multiclass classification accuracy of the Transformer-based model, which employs the DistilBERT-multi (Distilled version of the Multilingual Bidirectional Encoder Representations from Transformers) pre-trained model, is 91.07%. The findings above show significant progress in multiclass multilingual text classification and the detection of extremism and radicalization within social networks.
Transcriptome Analysis of Rheumatoid Arthritis Uncovers Genes Linked to Inflammation-Induced Pain
Authors: Hall Bradford E. , Mazhar Khadijah , Macdonald Emma , Cassidy Margaret , Doty Megan , Judkins Christian , Terse Anita , Shiers Stephanie , Tadros Saber , Yun Sijung , Burton Michael D. , Price Theodore J. , Kulkarni Ashok 
Published: April 2024

Abstract

Autoimmune diseases such as rheumatoid arthritis (RA) can promote states of chronic inflammation with accompanying tissue destruction and pain. RA can cause inflammatory synovitis in peripheral joints, particularly within the hands and feet, but can also sometimes trigger temporomandibular joint (TMJ) arthralgia. To better understand the effects of ongoing inflammation-induced pain signaling, dorsal root ganglia (DRGs) were acquired from individuals with RA for transcriptomic study. We conducted RNA sequencing from the L5 DRGs because it contains the soma of the sensory neurons that innervate the affected joints in the foot. DRGs from 5 RA patients were compared with 9 non-arthritic controls. RNA-seq of L5 DRGs identified 128 differentially expressed genes (DEGs) that were dysregulated in the RA subjects as compared to the non-arthritic controls. The DRG resides outside the blood brain barrier and, as such, our initial transcriptome analysis detected signs of an autoimmune disorder including the upregulated expression of immunoglobulins and other immunologically related genes within the DRGs of the RA donors. Additionally, we saw the upregulation in genes implicated in neurogenesis that could promote pain hypersensitivity. Overall, our DRG analysis suggests that there are upregulated inflammatory and pain signaling pathways that can contribute to chronic pain in RA.
RETRACTED: Exploring causative gene and pathway of sevoflurane-induced anesthetic effects and implication on nervous system diseases based on high-throughput scRNA-seq data
Authors: Liu Hui , Yu Hao , Cao Yu , Gao Yang , Wei Shaoting , Shi Jinghui , Liu Desheng 
Published: April 2024

Abstract

The authors have requested that this preprint be removed from Research Square.
Synergistic effect of phage-antibiotic combination against Stenotrophomonas maltophilia
Authors: Koshy Calmly M , Leela K V , Neela Vasantha Kumari , Sugumar Shobana 
Published: April 2024

Abstract

Phage therapy has been used for more than a century to treat bacterial infections that are caused by multidrug-resistant organisms. To combat S. maltophilia (multidrug-resistant bacteria), we isolated, recognized, and described the Stenotrophomonas phage CM2 in this study. The diameter of the head and tail length of the Stenotrophomonas phage CM2 were measured to be around 109 nm and 146 nm, respectively. It was found that the phage is a member of the Myoviridae family of viruses and is categorized under the order Caudovirales. 2 out of the 6 different strains of S.maltophilia tested were lysed by Stenotrophomonas phage CM2 according to host range determination, and a one-step growth curve indicated a short latent time and a moderate burst size. Phage CM2 has 61670 base pairs and 24 phage genes. A phylogenetic tree was reconstructed which revealed the close evolutionary relationship between CM2 and other Stenotrophomonas phages. We have also studied the Phage-Antibiotic synergy of Phage CM2 against different antibiotics such as Nitrofurantoin, amoxicillin, and ciprofloxacin. Evidence suggests that lytic phage can work in class-dependent synergy with antibiotics to rejuvenate a medication that was no longer effective against previously resistant bacteria.
Prone Positioning Ventilation treatment rescuing a patient with Chlamydia Abortus-induced ARDS diagnosed by next generation sequencing: a case report.
Authors: chen yi , liu lixue , zhou kechun 
Published: April 2024

Abstract

Background: Chlamydia abortus is a pathogen capable of infecting both humans and animals. In most known cases, this pathogen primarily infects pregnant women, leading to miscarriage and preterm birth. However, it is exceedingly rare for this pathogen to cause pneumonia that progresses to severe Acute Respiratory Distress Syndrome (ARDS).
case introduction: We present a case of a 76-year-old male patient who was clinically diagnosed with Acute Respiratory Distress Syndrome (ARDS) caused by Chlamydia abortus and successfully treated. The patient's condition rapidly deteriorated over six days, evolving from a lung infection to severe pneumonia, ultimately leading to ARDS and sepsis. Initially, he was admitted to a local hospital for a lung infection where routine etiological examinations failed to identify any significant pathogens, and he received only empirical antimicrobial therapy. However, the lung infection was not controlled, and the patient's condition rapidly worsened, resulting in severe respiratory distress. This necessitated tracheal intubation and assisted ventilation, after which he was transferred to our hospital for treatment. Due to the patient's family's inability to afford the cost of ECMO treatment, we adopted a prone positioning ventilation strategy to improve the patient's ventilation-perfusion matching. Additionally, we performed metagenomic next-generation sequencing on the patient's bronchoalveolar lavage fluid, which confirmed the infection with Chlamydia abortus. These measures ultimately led to the successful treatment of the patient.
Conclusion：Chlamydia abortus infection can lead to severe ARDS, necessitating timely diagnosis and active intervention by clinicians. This case highlights the crucial role of metagenomic next-generation sequencing in diagnosing rare pathogens. Timely adoption of prone positioning ventilation can significantly improve ventilation-perfusion matching, effectively treating ARDS caused by Chlamydia abortus. Additionally, the combination of moxifloxacin and piperacillin-tazobactam can treat ARDS caused by Chlamydia abortus.
Orofacial Cleft in Rwanda: a Scoping Review of Empirical Evidence
Authors: Amzat Jimoh , Murererehe Julienne , Uwambaye Peace , Yusuf Lauriyah , Olaopa Olusegun , Salami Afeez , Harerimana Ingabire Eliane , Ineza Marie Claire , Ntigura Eustache , Ober-Oluoch Jenipher , Dusenge Marie Aimee , Nishimwe Dorcas Doree , Abimana Vestine , Tuyishime Gabriel , Milanes Danilo Zambrano , Adisa Akinyele , Jayasinghe Ruwan Duminda , Kanmodi Kehinde Kazeem 
Published: April 2024

Abstract
Background
Orofacial clefts (OFCs) are among the most common congenital anomalies accounting for over 4.6 million cases. OFCs are associated with significant morbidity and a heightened risk of infant mortality in many developing nations due to barriers to accessing multidisciplinary care. Rwanda has a considerable burden of OFCs. This scoping review aims to identify knowledge gaps, establish research agendas, and inform decision-making for policy redirection in Rwanda regarding OFCs.
Methods
The design and reportage of this scoping review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Following the search of eleven electronic databases, all retrieved articles were imported into the Rayyan web application where deduplication of the duplicate literature was done. One hundred and fourteen articles were obtained from the literature search. After screening and deduplication, only 8 articles were included in the scoping review for data charting, collation, and summarization.
Results
Rwanda faces a significant burden of OFCs according to the reported OFCs prevalence range (12.1–34.2%) reported across all Rwanda provinces. In addition, only 6 general medicine surgeons were supporting to repair OFCs as part of their internship short training in Rwanda. The prevalence and distribution of OFCs vary across different demographics and age groups, with males having a higher prevalence than females. This review also reported on the clinical care of OFCs in Rwanda, highlighting low retention of care among OFC patients.
Conclusion
Overall, the review findings highlight the need for targeted interventions, including early detection of associated anomalies, improved prenatal care, and access to specialized care facilities for infants born with cleft lip and/or palate, especially those with associated malformations. There is a need for policymakers and other stakeholders to ensure strategies to increase the number of specialists who can support people with OFCs and ensure high retention of care among OFCs in Rwanda. Further, OFCs-related studies with representative sample sizes and advanced research designs are needed in Rwanda to bridge the gap on OFCs' limited information and to better inform the Rwandan Health policy on OFCs.
Biliary metallic stent combined with radioactive 125I seeds strands for malignant hilar obstruction
Authors: Sigdel Milan , Zhang Chengzhi , Hou Rongna , Song Mengyao , Sun Zhanguo , Jiao Dechao 
Published: April 2024

Abstract

Background: To evaluate the efficacy of biliary metallic stent (BMS) combined with radioactive 125I seed strands (RISS) for malignant hilar obstruction (MHO).
Method: From January 2016 to January 2022, 317 patients with MHO underwent percutaneous trans-hepatic biliary drainage at our center. Among them, 40 patients underwent BMS combined with RISS treatment (experimental group), and 52 patients underwent BMS alone (control group). Primary endpoints were technical success, complications and stent patency time (SPT). Secondary endpoints were clinical success and overall survival (OS).
Results: The technical success (100% vs 100%) and clinical success rate (92.50 % vs 90.04%) showed no statistically significance between the experimental and control groups (P>0.05). The Grade 3-5 early and late complications showed no significance between both groups (P>0.05). The SPT [(8.2 ± 0.39) vs (5.8 ± 0.33) months] and OS [(13.6 ± 0.81) vs (11.7 ± 0.44) months)] of the experimental group showed significantly longer than that of the control group ((P<0.05).
Conclusion: BMS combined with RISS treatments can palliative prolong the SPT and OS for patients with MHO.
Application of targeted next-generation sequencing to identify pathogens in the bronchoalveolar lavage fluid of adults with pulmonary infections
Authors: He Shiyi , Wu Xiaoning , Liang Zhengyi , Lin Denghang , Gao Jinwei , Qin Weijuan , Wei Huanhuan , Zhou Liyan , Xie Li 
Published: April 2024

Abstract

Background
Targeted next-generation sequencing (tNGS) has emerged as an efficient diagnostic method for pathogens identification. herein, we aimed to evaluate its performance in pathogen detection in bronchoalveolar lavage fluid (BALF).
Methods
BALF samples were obtained from 262 adult patients with pulmonary infection and were detected by tNGS, microbial culture, Xpert® MTB/RIF assay, and Aspergillus galactomannan (GM) test.
Results
In total, 47 potential pathogens were identified in the BALF samples by tNGS, including 21 bacteria, 13 viruses, 11 fungi, 1 parasite, and 1 mycoplasma. The bacterial detection rates of tNGS and ordinary bacterial culture were 74.0% (194/262) and 28.2% (74/262), respectively. The rates of negative, positive, and total consistent and the kappa value between tNGS and bacterial culture were 30.8%, 86.4%, 46.4%, and 0.116, respectively. The positive rate of fungal identification by tNGS was slightly higher than that of fungal culture (31.7% (83/262) and 22.9% (60/262), respectively). The rates of positive, negative, and total consistent and the kappa value between tNGS and fungal culture were 68.9%, 79.1%, 76.7%, and 0.424, respectively. Among the 42 patients with suspected tuberculosis infection, 23 patients showed positive results on both tNGS and Xpert® MTB/RIF assay. The rates of positive, negative, and total consistent and the kappa value between tNGS and pert® MTB/RIF assay were 100.0%, 68.4%, 85.7%, and 0.704, respectively. Finally, the sensitivity and specificity of tNGS versus the GM test were 57.1% and 90.6% versus 71.4% and 82.7%, respectively, when the fungal culture was used as the gold standard for detecting Aspergillus. Additionally, the sensitivity and specificity of tNGS increased to 86.2% and 98.7%, whereas the sensitivity of the GM test decreased to 69.0% when clinically diagnosed Aspergillus infection was used as a reference standard. The read counts of Aspergillus detected by tNGS and the optical density of the GM test were not significantly correlated.
Conclusions
tNGS is a promising method for detecting pathogens in BALF with a notably higher positive detection rate and a higher sensitivity and/or specificity compared with those of the conventional test.
Blood cell count combined with lower respiratory symptoms predict the risk of pulmonary complications in patients with influenza A without risk factors
Authors: Luo Jie , Wu Haojie , Gu Rui , Zhang Sen , Ai shanmu , Xu Fang , Tang Hong 
Published: April 2024

Abstract

Objective: To analyze the predictive value of blood cell count results and derived indicators combined with patient symptoms for pulmonary complications in patients without risk factors of influenza A.
Methods: A retrospective cohort study was conducted to analyze the clinical data of 54 patients with influenza A without risk factors .Patients with pulmonary complications were divided into PC group and the others into NPC group. The blood cell counts and derived indices (NLR, PLR, MLR, SII) were compared between the two groups, combining different symptoms , four different prediction models were constructed , and the receiver operating characteristic (ROC) curve was used to verify the predictive value of these models for pulmonary complications in patients without risk factors of influenza A
Results: The rate of lower respiratory symptoms in the PC group was higher than that in the NPC group；WBC count, neutrophil count, NLR, and SII in the PC group were significantly higher than those in the NPC group；WBC, neutrophils, and NLR could effectively predict influenza-associated pulmonary complications (P < 0.05). Among these indicators, NLR had the best predictive effect. The AUC values of the four prediction models were better than the independent predictor NLR. Among them, prediction model 4 (lower respiratory symptoms +NLR) had the best prediction effect.
Conclusions: NLR > 10.228 is the optimal independent risk indicator for pulmonary complications in influenza A patients without risk factors, and its predictive value is stronger when there are lower respiratory symptoms at the same time.