bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying inversions with Breakpoints in the Dystrophin Gene through Long-Read Sequencing: Report of Two Cases
Authors: Chen Liqing , Luo Xiaoping , Wang Hongling , Tian Yu , Liu Yan 
Published: March 2024

Abstract

Background: Duchenne Muscular Dystrophy (DMD) is an X-linked disorder caused by mutations in the DMD gene, with large deletions being the most frequent type of mutation. Large inversions involving the DMD gene are a less common cause of the disorder, primarily because they often elude detection by standard diagnostic methods such as multiplex ligation probe amplification (MLPA) and whole exome sequencing (WES) utilizing next-generation sequencing (NGS) technologies.
Case presentation: Our research uncovered two intrachromosomal inversions involved the dystrophin gene in two unrelated families through Long-read sequencing (LRS). To confirm these variants, Sanger sequencing subsequently carried out. The first case involved a pericentric inversion from DMD intron 47 to the Xq27.3. The second case featured a paracentric inversion between DMD intron 42 and Xp21.1, inherited from the mother. In both cases, simple repeat sequences (SRS) were present at the breakpoints of these inversions.
Conclusions: Our findings demonstrate that LRS can be effectively used to detect atypical mutation. The identification of SRS at breakpoints in DMD patients assists in acquiring a more profound understanding of the mechanisms involved in structural variations, thereby facilitating exploration into potential treatments.
Gasless vNOTES vs traditional vNOTES for benign gynecological disease: a randomized controlled clinical trial
Authors: Wang Yanjun , Liu Kai , Gong Zhaolin , Huang Qinghua , Zhang Qianqian , Feng Dan , Chen Jiaojiao , Mao Ang , Yu Xia , Zhang Lin , He Li , Cui Yu , Lin Yonghong 
Published: March 2024

Abstract
Background: Gasless transvaginal natural orifice transluminal endoscopic surgery (G-vNOTES) can avoid complications related to pneumoperitoneum, but there is limited research on G-vNOTES. Here, we aimed to compare the hemodynamic profiles and outcomes of G-vNOTES with traditional vNOTES in the treatment of patients with benign gynecologic disease.
Methods: A total of 120 patients with benign gynecologic disease were randomly assigned to G-vNOTES (n=60) or traditional vNOTES (n=60). The primary outcome was vital sign at different time points. Secondary outcomes included conversion rate, surgical time, anesthesia time, the usage of anesthetics, estimated intraoperative blood loss, visual analogue scale (VAS) score for abdominal and shoulder pain and postoperative nausea and vomiting (PONV) at 2 and 24 hours, intraoperative and postoperative complications, time to first anal exhaust, eating, and getting out of bed after surgery, and length of postoperative hospital stay.
Results: There was no significant difference between the two groups at the baseline level. The results of the multi-level model indicate that the PetCO2 of the G-vNOTE group is lower than that of the T-vNOTES group (p=0.024). The conversion rate in the G-vNOTES group was higher than that in the G-vNOTES group (16.95% vs 5.26%, p=0.046). No significant differences were observed in other areas.
Conclusions: The PetCO2 in the G-vNOTES group was lower than that in the T-vNOTES group, which may be more beneficial for the treatment of patients with concomitant cardiovascular and pulmonary diseases. The surgical conversion rate of the G-vNOTES group is higher than that of the G-vNOTES group, which may be related to poor surgical field exposure in the G-vNOTES group, making it more suitable for experienced and confident surgeons.
The Design and Analysis of a Tunnel Retro-reflective Ring Climbing and Cleaning Robot
Authors: Li Yuhan , Ye Shiqing , Cui Rongxu , Shou Zhaoyu 
Published: March 2024

Abstract

In response to the challenges posed by the difficult cleaning of tunnel retro-reflective rings and the unsuitability of existing climbing robots for ascending tunnel retro-reflective rings, a tunnel retro-reflective ring cleaning robot is proposed. Based on the analysis of the operational environment characteristics and functional requirements within the tunnel, the design planning of the robot's main frame, locomotion system, cleaning mechanism, and intelligent detection system are addressed. Ultimately, the spring-loaded climbing robot with excellent suspension ability and obstacle crossing skills was ultimately adopted. The paper utilizes simulation software to conduct static analysis for the main frame, verifying its strength. Stability analysis, encompassing both statics and dynamics, is performed for the robot, assessing its feasibility under various conditions. Mathematical models for the robot's secure fixation and climbing are established, exploring the minimum theoretical pressure required for stable robot operation. Experimental validation is conducted to determine the minimum pressure theory, and the prototype experiments of the robot confirm the rationality of its structure and control design. The robot operates effectively, successfully cleaning retro-reflective rings within the tunnel without disrupting normal traffic conditions.
Dissecting the impact of enteric viral-bacterial co-infection on the host innate immune response and its implications for pathogenicity
Authors: Broz Petr , Walch Philipp 
Published: March 2024

Abstract

Understanding how pathogens cause and maintain infection is essential to develop novel therapeutics and prevent outbreaks of emerging diseases. While the broadening of accessible methodologies has enabled mechanistic insights into single pathogen infections, the molecular mechanisms underlying co-infections remain elusive, despite their clinical frequency and relevance, generally exacerbating symptom severity and fatality. Here, we describe a first-of-its-kind, parallelized, unbiased screening of pairwise co-infections, ensuring reliability through robust quality control and validation. We subsequently decipher two distinct molecular interaction points: Firstly, mAdV3 modifies ASC-dependent inflammasome responses, altering host cell death and cytokine production, thereby impacting secondary Salmonella infection. Secondly, mAdV2 infection triggers upregulation of Mprip, a crucial mediator of phagocytosis, which in turn causes increased Yersinia uptake, specifically in virus pre-infected cells. This work encompasses both a valuable resource, which will spark further hypothesis-driven research, and molecular characterization of novel interaction points during co-infection, presenting putative targets for new therapeutic approaches.
Real-time prediction of the approximate non- homogeneous white exponential law BDS clock bias sequences: modelling and strategy
Authors: Tan Xiaorong , Xu Jiangning , Li Fangneng , Wu Miao , Liang Yifeng , Chen Ding , Zhu Bing 
Published: March 2024

Abstract

Precise forecasting of satellite clock bias is crucial for ensuring service quality and enhancing the efficiency of real-time precise point positioning (PPP).The grey model with many benefits is an excellent choice for predicting real-time clock bias. However, the absolute prediction error of a small number of satellites is very high in actual forecasting precess. In order to address this issue, a non-homogeneous white exponential law grey model has been constructed specifically for predicting clock bias sequences with non-homogeneous class ratio approximating constants. Considering that any model is difficult to apply to different kinds of satellite clocks and clock bias signals, an adaptive selection strategy for forecast model is proposed to ensure more excellent prediction accuracy. Afterwards a prediction scenario based on the observed products of the BeiDou satellite navigation system (BDS) is created to demonstrate the effectiveness of the approach described in this article. The outcomes of the method are then compared with those of a single grey model and the ultra-rapid predicted products. The outcomes demonstrate that this strategy's forecast accuracy is less than 1 ns/day and that its prediction uncertainty is much decreased, which may improve data selection for real-time applications like real-time kinematics (RTK) and PPP.
A multi low-cost sensors analysis for remote and real-time water quality monitoring system
Authors: Slongo Juliano , Lindino Cleber A. , Martins Leila D. , Spanhol Fabio A. , Carneiro Edipo , Camargo Edson T. 
Published: March 2024

Abstract
Low-cost sensors integrated with the Internet of Things can enable real-time envi-ronmental monitoring networks and provide valuable water quality informationto the public. However, the accuracy and precision of the values measured bythe sensors are critical for widespread adoption. In this study, 19 different low-cost sensors, commonly found in the literature, from four different manufacturersare tested for measuring five water quality parameters: pH, dissolved oxygen,oxidation-reduction potential, turbidity, and temperature. The low-cost sensorsare evaluated for each parameter by calculating the error and precision com-pared to a typical multiparameter probe assumed as a reference. The comparisonwas performed in a controlled environment with simultaneous measurements ofreal water samples. The relative error ranged from -0.33 to 33.77% and most of them were ≤ 5%. The pH and temperature were the ones with the most accurate results. In conclusion, low-cost sensors are a complementary alternative toquickly detect changes in water quality parameters. Further studies are necessaryto establish a guideline for the operation and maintenance of low-cost sensors.
Research on Predictability of Technological Innovation Cooperation Network Links in offshore engineering equipment
Authors: Sun Zhumei , Wang zhibing 
Published: March 2024

Abstract
This paper amis to provide support for the prediction and recommendation of technological innovation cooperation relations. A patent-based offshore engineering equipment technological innovation cooperation network is built at first. The trend of network predictability and its upper limit are explored through the normalized shortest compression length of the network structure, and the actual prediction accuracy of classical link prediction methods is compared with the upper limit. Results show that the change of normalized shortest compression length of the network structure is fully consistent with the development trend of the link predictability of offshore engineering equipment technological innovation cooperation network, and the normalized shortest compression length can also be used as the basis for quantitative characterization of the upper limit of network link predictability. Futhermore, the prediction accuracy of the classical link prediction methods is about 30% lower than the upper limit calculated according to the normalized shortest compression length.
Degradation of bentazone, bispyribac-sodium, dinotefuran and imidacloprid in different types of agricultural soils under laboratory conditions by high performance liquid chromatographic
Authors: Fouad Mohamed R. , Mohamed Abdallah E. 
Published: March 2024

Abstract

The degradation and persistence of two herbicides (bentazone BTZ & bispyribac-sodium BPS), and two insecticides (dinotefuran DNF & imidacloprid IMI) into alluvial soil, calcareous soil and sandy soil were investigated following application at 100 µg/g soil at various time intervals; 0, 3, 7, 15, 30 and 60 days by HPLC. BTZ, BPS, DNF and IMI residue dropped after 60 days of incubation to 7.13, 4.85, 53.71, and 7.51% into alluvial soil, 8.58, 5.28, 17.68, and 12.56 % into calcareous soil, and 10.53, 8.94, 53.09, and 13.84% into sandy soil of the initial residue remaining, respectively. DNF, and IMI dissipated slowly compared with BTZ and BPS into three soils. The dissipation of tested pesticides was faster in alluvial soil, followed by calcareous soil and then sandy soil, except of DNF. The persistence kinetics of BTZ, BPS, DNF and IMI into alluvial, calcareous and sandy soil was analyzed using different orders kinetics. The different orders kinetics results showed that first-order model fit the experimental persistence data quite well of BTZ, BPS, DNF and IMI into tested soils with high values of R2 and low values of Δqe% and SSE. The half-life values were 15.27, 16.39 and 17.82 days of BTZ, 11.73, 13.10 and 16.20 days of BPS, 63.01, 23.42 and 75.34 days of DNF, and 14.87, 20.39 and 14.87 days of IMI into alluvial soil, calcareous soil and sandy soil, respectively.
Enhancing urban blue-green landscape quality assessment through hybrid Genetic Algorithm-Back Propagation (GA-BP) neural network approach: a case study in Fucheng, China
Authors: Fan Ding , Malik Nor Zrifah Binti , Yu Siwei , Jin fengcheng , Han xinyan 
Published: March 2024

Abstract
This study employs an artificial neural network optimization algorithm, enhanced with a Genetic Algorithm-Back Propagation (GA-BP) network, to assess the service quality of urban water bodies and green spaces, aiming to promote healthy urban environments. From an initial set of 95 variables, 29 key variables were selected, including 17 input variables, such as water and green space area, population size, and urbanization rate, six hidden layer neurons, such as patch number, patch density, and average patch size, and one output variable for the comprehensive value of blue-green landscape quality. The results indicate that the GA-BP network achieves an average relative error of 0.94772%, which is superior to the 1.5988% of the traditional BP network. Moreover, it boasts a prediction accuracy of 90% for the comprehensive value of landscape quality from 2015 to 2022, significantly outperforming the BP network's approximate 70% accuracy. This method enhances the accuracy of landscape quality assessment but also aids in identifying crucial factors influencing quality. It provides scientific and objective guidance for future urban landscape structure and layout, contributing to high-quality urban development and the creation of exemplary living areas.
Magnetic BiFeO3 Nanoparticles: A Robust and Efficient Nanocatalyst for the Green One-Pot Three-Component Synthesis of Highly Substituted 3,4-Dihydropyrimidine-2(1H)-one/thione Derivatives
Authors: Hanifi Safa , Dekamin Mohammad G. , Eslami Mohammad 
Published: March 2024

Abstract

In this research, magnetic bismuth ferrite nanoparticles (BFO MNPs) were prepared through a convenient method and characterized. The structure and morphological characteristics of the prepared nanomaterial were confirmed through analyses using Fourier-transform infrared (FT-IR) spectroscopy, field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDS), elemental mapping image, powder X-ray diffraction (XRD) and vibrating sample magnetometry (VSM) techniques. The obtained magnetic BFO nanomaterial was investigated, as a heterogeneous Lewis acid, in three component synthesis of 3,4-dihydropyrimidin-2 (1H)-ones/thiones (DHPMs/DHPMTs). It was found that BFO MNPs exhibit remarkable efficacy in the synthesis of various DHPMs as well as their thione analogues. It is noteworthy that the research features environmentally friendly conditions, short reaction time, a simple and straightforward work-up method, good to excellent yields, low catalyst loading, and the recyclability/reusability of the catalyst, distinguishing it from other recently reported methods. Additionally, the structure of the DHPMs/DHPMTs was confirmed through 1H NMR, FT-IR, and melting point analyses. This environmentally sensible approach highlights the potential of the catalyst as a sustainable and efficient option in green chemistry applications.
Exploring the crosstalk molecular mechanisms between IgA nephropathy and Sjögren’s syndrome based on comprehensive bioinformatics and immunohistochemical analyses
Authors: He Peng , Wei Lei , Zhang Ruijing , Zhao Jin , Zhang Yuzhan , Huang Liuyifei , Bai Xiao , Ning Xiaoxuan , Sun Shiren 
Published: March 2024

Abstract
Background
IgA nephropathy (IgAN) and Sjogren's syndrome (SS) are two autoimmune diseases with undetermined etiology and related to abnormal activation of lymphocytes. This study aims to explore the crucial genes, pathways and immune cells between IgAN and SS in the context of predictive, preventive, and personalized medicine (PPPM).
Methods
Gene expression profiles of IgAN and SS were obtained from the Gene Expression Omnibus and Nephroseq data. Differentially expressed gene (DEG) and weighted gene co-expression network analyses (WGCNA) were done to identify common genes. Enrichment analysis and protein-protein interaction network were used to explore potential molecular pathways and crosstalk genes between IgAN and SS. The results were further verified by external validation and immunohistochemistry (IHC) analysis. Additionally, immune cell analysis and transcription factor prediction were also conducted.
Results
The DEG analysis revealed 28 commonly up-regulated genes, while WGCNA identified 98 interactively positive-correlated module genes between IgAN and SS. The enrichment analysis suggested that these genes were mainly involved in the biological processes of response to virus and antigen processing and presentation. The external validation and IHC analysis identified 5 hub genes (PSMB8, PSMB9, IFI44, ISG15, and CD53). In the immune cell analysis, the effector memory CD8 T and T follicular helper cells were significantly activated, and the corresponding proportions showed positively correlations with the expressions of the 5 hub genes in the two autoimmune diseases.
Conclusion
Together, our data identified the crosstalk genes, molecular pathways, and immune cells underlying the IgAN and SS, which provides valuable insights into the intricate mechanisms of these diseases and offers potential intervention targets from the perspective of PPPM.
"I Really Like the Way My Brain Operates": Learning About Autism Strength Through the Eyes of Autistic Adults
Authors: Navedo Jessica , Espiritu-Santo Amelia , Sharmin Moushumi , Delucio Kevin , Ahmed Shameem 
Published: March 2024

Abstract
Strength-based (SB) approaches view individuals and communities as experts on their experiences, desires, and needs. How do autistics understand their strengths and how does this information influence the way we design technology? Using a semi-structured SB format, we conducted three focus groups and nine one-on-one interviews with autistics, inviting them into an open conversation about their self-image, understanding of strength, commonalities within the autistic community, and their suggestions for better technology design. Several dominant themes emerged. Importantly, results reinforced the heterogeneous nature of the autistic community and the need to grow capacity for neurodiversity so that we may design future research in ways that glean outcomes valuable to autistic stakeholders. This paper (1) Presents autistic voices in their natural language; (2) Develops SB terminology in HCI to align with the self-determination and autonomy of users; and (3) Builds SB language in HCI to connect and contrast data.
The current status of nurses' psychological experience as second victims in restoring the event after a patient safety incident in China: a mixed study
Authors: Li Zhuoxia , Zhang Cuiling , Chen Jiaqi , Du Rongxin , Zhang Xiaohong 
Published: March 2024

Abstract

Purpose: The objective of this study is to gain insight into the psychological experience and present condition of nurses who serve as second victims in the process of restoring the sequence of events. Additionally, this research aims to investigate the effects of restoring the sequence of events on these second victims, and to propose recommendations and justifications for supporting them.
Methods: An exploratory mixed research method was adopted to understand the emotional experience of the second victim when restoring the passage of the incident through qualitative research, and 14 nurses with the experience of the second victim were selected for semi-structured interviews using purposive sampling according to the maximum difference sampling strategy. Through quantitative research, we explored the negative psychology and support needs of the second victims when they revert to the incident, and a self-developed questionnaire was used to survey 3,394 nurses with experiences of the second victims in 11 tertiary hospitals in Shanxi Province.
Results: In the qualitative part of the study, the emotional experience of the second victim's reversionary event passage after a patient safety incident could be categorized into 3 themes: negative psychological experience, simplification/glorification of the event passage, and expectation and growth. In the quantitative part of the study, guilt and self-blame accounted for the highest percentage of negative emotions after a patient safety incident, 63.20% of the nurses believed that the reduction of the incident passage led to the exacerbation of negative psychology, and shame was the most common negative emotion resulting from the reduction of the incident passage.
Conclusion: Following a patient safety incident, nursing administrators and institutions should consider the adverse psychological impact on the second victim, prioritize the second victim's needs and skills during the incident's restoration, create a positive safety culture, and reduce the likelihood of secondary victimization of second victims due to mismanagement.
Non-participation in breast screening in Denmark: Sociodemographic determinants
Authors: von Euler-Chelpin My , Napolitano George , Lynge Elsebeth , Borstrøm Søren , Vejborg Ilse 
Published: March 2024

Abstract

Background Internationally, non-participation in breast screening increased with decreasing level of education indicating importance of information campaigns to enhance awareness of screening. However, in Denmark in the 1990s the association between education and non-participation was U-shaped. We therefore analyzed recent Danish data.Methods Data derived from the Capital Region of Denmark, biennial, organized breast screening program 2008–2020, where women aged 50–69 were personally invited to screening. Non-participation was measured as number of women with no participation out of women eligible for at least three invitations. Sociodemographic determinants were identified by linkage to public registers. Results were reported as mutually adjusted odds ratios (OR) of non-participation including 95% confidence intervals (CI).Results Among 196,085 women, 86% participated. Using women with low education as baseline, the OR for professional bachelors was 0.78; and for academics 0.88. The strongest determinants of non-participation were being non-married OR 1.95; born outside Denmark OR 1.53; being self-employed OR 1.69; retired OR 2.40; on public support OR 2.90; or having co-morbidity OR 1.25.Conclusion The U-shaped association between education and non-participation in breast screening prevailed but with small differences. Other recent data support a diminishing impact of education on screening participation in well-educated populations with organized programs.