bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel robotic surgical assistant for total knee arthroplasty has a learning curve ranging from 6 to 14 cases and exhibits high accuracy in tibial bone cuts
Authors: Thongpulsawad Nimit , Achawakulthep Chaiwat , Intiyanaravut Tawan 
Published: August 2024

Abstract
Background
The adoption of robot-assisted total knee arthroplasty (TKA) aims to enhance the precision of implant positioning and limb alignment. Despite its benefits, the adoption of such technology is often accompanied by an initial learning curve, which may result in increased operative times. This study sought to determine the learning curve for the ROSA (Robotic Surgical Assistant) Knee System (Zimmer Biomet) in performing TKA and to evaluate the accuracy of the system in executing bone cuts and angles as planned. The hypothesis of this study was that cumulative experience with this robotic system would lead to reduced operative times. Additionally, the ROSA system demonstrated reliability in terms of the accuracy and reproducibility of bone cuts.

Methods
In this retrospective observational study, we examined 110 medical records from 95 patients who underwent ROSA-assisted TKA performed by three surgeons. We employed the cumulative summation methodology to assess the learning curves related to operative time. Furthermore, we evaluated the accuracy of the ROSA Knee System in performing TKA by comparing planned versus validated values for femoral and tibial bone cuts and angles.

Results
The learning curve for the ROSA Knee System spanned 14, 14, and 6 cases for the respective surgeons, with operative times decreasing by 22 min upon reaching proficiency (70.8 vs. 48.9 min; p < 0.001). Significant discrepancies were observed between the average planned and validated cuts and angles for femoral bone cuts (0.4 degree ± 2.4 for femoral flexion, 0.1 degree ± 0.6 for femoral coronal alignment, 0.3 mm ± 1.2 for distal medial femoral resection, 1.4 mm ± 8.8 for distal lateral femoral resection) and hip–knee–ankle axis alignment (0.3 degree ± 1.9 )(p < 0.05) but not for tibial bone cuts. Differences between planned and validated measurements during the learning and proficiency phases were nonsignificant across all parameters, except for the femoral flexion angle (0.42 degree ± 0.8 vs. 0.44 degree ± 2.7) (p = 0.49).

Conclusion
The ROSA Knee System can be integrated into surgical workflows after a modest learning curve of 6 to 14 cases. The system demonstrated high accuracy and reproducibility, particularly for tibial bone cuts. Acknowledging the learning curve associated with new robot-assisted TKA technologies is vital for their effective implementation.
Electroacupuncture negatively regulates the Nesfatin-1/ERK/CREB pathway to alleviate HPA axis hyperactivity and anxiety-like behaviors caused by surgical trauma
Authors: Zheng Jiayuan , Wang Yu , Zhang Chi , Zhang Anjing , Zhou Yuxiang , Xu Yunhua , Yu Jin , Tian Zhanzhuang 
Published: August 2024

Abstract
Background
Hyperactivity of the hypothalamic–pituitary–adrenal (HPA) axis constitutes a pivotal response by surgical trauma, manifesting as a critical aspect of the acute stress reaction. This hyperactivity resulted in adverse surgical outcomes and is often associated with increased postoperative anxiety. Increased evidence suggests that Nesfatin-1 plays a crucial role in stress responses and stress-related psychiatric disorders. Electroacupuncture (EA) is widely used to alleviate stress responses and anxiety, although its mechanism of action remains unclear. This study aimed to assess the mechanisms by which hypothalamic Nesfatin-1 contribute to the alleviation of HPA axis hyperactivity and anxiety by EA.

Methods
Partial hepatectomy (HT) was performed to simulate surgical trauma, and EA was applied at Zusanli (ST36) and Sanyinjiao (SP6). The levels of hypothalamic Nesfatin-1, c-Fos, and corticotropin-releasing hormone (CRH) were detected, and serum adrenocorticotropic hormone (ACTH) and corticosterone (CORT) were regarded as indicators of HPA axis activity. Anxiety levels were assessed through open field tests (OFT), elevated plus maze (EPM), and light–dark box tests (LDBT). To investigate the role of Nesfatin-1, its expression was modulated using stereotactic viral injections or plasmid transfections. Transcriptome sequencing was employed to explore the downstream signaling pathways of Nesfatin-1. Additionally, brain cannula implantation was performed to facilitate targeted drug administration.

Results
Our findings demonstrated that EA reduced the hypothalamic overexpression of CRH and Nesfatin-1, as well as serum levels of ACTH and CORT. Additionally, it alleviated anxiety-like behaviors resulting from surgical trauma. We observed that overexpression of Nesfatin-1 in the hypothalamic paraventricular nucleus (PVN) triggered hyperactivity of the HPA axis and anxiety. Conversely, knocking down Nesfatin-1 in the PVN reversed these effects caused by surgical trauma. Transcriptome sequencing identified the extracellular regulated protein kinases (ERK)/cAMP-response element binding protein (CREB) pathway as a key mediator in the impacts of surgical trauma and EA on the hypothalamus. Both in vivo and in vitro studies showed that overexpression of Nesfatin-1 activated the ERK/CREB pathway. Furthermore, administering ERK or CREB inhibitors into the PVN mitigated HPA axis hyperactivity and anxiety-like behaviors induced by surgical trauma. Finally, EA was observed to decrease the phosphorylation levels of ERK and CREB in the PVN.

Conclusion
EA alleviates HPA axis hyperactivity and anxiety-like behaviors caused by surgical trauma through inhibition of Nesfatin-1/ERK/CREB pathway in the hypothalamus.
Common and differential variables of anxiety and depression in adolescence: a nation-wide smartphone-based survey
Authors: Weiß Martin , Gutzeit Julian , Pryss Rüdiger , Romanos Marcel , Deserno Lorenz , Hein Grit 
Published: August 2024

Abstract
Background
Mental health in adolescence is critical in its own right and a predictor of later symptoms of anxiety and depression. To address these mental health challenges, it is crucial to understand the variables linked to anxiety and depression in adolescence.

Methods
Here, we analyzed data of 278 adolescents that were collected in a nation-wide survey provided via a smartphone-based application during the COVID-19 pandemic. We used an elastic net regression machine-learning approach to classify individuals with clinically relevant self-reported symptoms of depression or anxiety. We then identified the most important variables with a combination of permutation feature importance calculation and sequential logistic regressions.

Results
40.30% of participants reported clinically relevant anxiety symptoms, and 37.69% reported depressive symptoms. Both machine-learning models performed well in classifying participants with depressive (AUROC = 0.77) or anxiety (AUROC = 0.83) symptoms and were significantly better than the no-information rate. Feature importance analyses revealed that anxiety and depression in adolescence are commonly related to sleep disturbances (anxiety OR = 2.12, depression OR = 1.80). Differentiating between symptoms, self-reported depression increased with decreasing life satisfaction (OR = 0.43), whereas self-reported anxiety was related to worries about the health of family and friends (OR = 1.98) as well as impulsivity (OR = 2.01).

Conclusion
Our results show that app-based self-reports provide information that can classify symptoms of anxiety and depression in adolescence and thus offer new insights into symptom patterns related to adolescent mental health issues. These findings underscore the potentials of health apps in reaching large cohorts of adolescence and optimize diagnostic and treatment.
tsRNA-GlyGCC promotes colorectal cancer progression and 5-FU resistance by regulating SPIB
Authors: Xu Rong , Du Ashuai , Deng Xinpei , Du Wei , Zhang Kaiying , Li Jianbo , Lu Yingxue , Wei Xiaoli , Yang Qinglong , Tang Hailin 
Published: August 2024

Abstract
Background
tRNA-derived small RNAs (tsRNAs) are newly discovered non-coding RNA, which are generated from tRNAs and are reported to participate in several biological processes in diseases, especially cancer; however, the mechanism of tsRNA involvement in colorectal cancer (CRC) and 5-fluorouracil (5-FU) is still unclear.

Methods
RNA sequencing was performed to identify differential expression of tsRNAs in CRC tissues. CCK8, colony formation, transwell assays, and tumor sphere assays were used to investigate the role of tsRNA-GlyGCC in 5-FU resistance in CRC. TargetScan and miRanda were used to identify the target genes of tsRNA-GlyGCC. Biotin pull-down, RNA pull-down, luciferase assay, ChIP, and western blotting were used to explore the underlying molecular mechanisms of action of tsRNA-GlyGCC. The MeRIP assay was used to investigate the N(7)-methylguanosine RNA modification of tsRNA-GlyGCC.

Results
In this study, we uncovered the feature of tsRNAs in human CRC tissues and confirmed a specific 5’ half tRNA, 5’tiRNA-Gly-GCC (tsRNA-GlyGCC), which is upregulated in CRC tissues and modulated by METTL1-mediated N(7)-methylguanosine tRNA modification. In vitro and in vivo experiments revealed the oncogenic role of tsRNA-GlyGCC in 5-FU drug resistance in CRC. Remarkably, our results showed that tsRNA-GlyGCC modulated the JAK1/STAT6 signaling pathway by targeting SPIB. Poly (β-amino esters) were synthesized to assist the delivery of 5-FU and tsRNA-GlyGCC inhibitor, which effectively inhibited tumor growth and enhanced CRC sensitive to 5-FU without obvious adverse effects in subcutaneous tumor.

Conclusions
Our study revealed a specific tsRNA-GlyGCC-engaged pathway in CRC progression. Targeting tsRNA-GlyGCC in combination with 5-FU may provide a promising nanotherapeutic strategy for the treatment of 5-FU-resistance CRC.

Graphical Abstract
Adverse event assessment in a parenting programme: experiences from a multisite randomised controlled trial
Authors: Frantz Inga , Foran Heather M. , Lachman Jamie M. , Gardner Frances , McMahon Robert J. , Ogden Terje , Hutchings Judy , Costin Madalina Ruxandra , Kunovski Ivo , Raleva Marija , Mueller Janina , Heinrichs Nina 
Published: August 2024

Abstract
Background
Clinicians and researchers should consider the expected benefits and potential harms of an intervention. Parenting programmes are a widely used evidence-based intervention for child behaviour problems. However, few data are available on potential negative effects. The aims of this paper were to increase systematic knowledge of adverse event (AE) assessment in parenting programmes and to provide an AE assessment tool.

Methods
As part of the RISE project (prevention of child mental health problems in South-eastern Europe—adapt, optimise, test and extend parenting for lifelong health), we developed and tested an AE assessment procedure in three sequential studies for parents of children with child behaviour problems aged 2 to 9 years in North Macedonia, Republic of Moldova, and Romania. This paper reports on the development of the assessment tool in phase 1 (N = 140), phase 2 (N = 835), and the final experiences with using the optimised procedures in phase 3 (multisite randomised controlled trial, N = 823) in which AEs were assessed before, three times during intervention delivery, and at 1 year follow-up. At each time point, the participants completed a 12-item AE checklist. If moderate-to-severe problems of parent or child were reported, a structured follow-up interview was conducted.

Results
The response rate on the AE assessment tool increased from 6% (phase 1) to 100% (phase 3) indicating improvement in collecting these data based on the experiences of each phase. Results of the RCT (phase 3) showed generally low (S)AE frequencies with the finally optimised procedure: During the intervention, no serious adverse events (SAE) were registered; at least one AE was reported by 10% (after the first session), 7% (after the third session), and 4% (after the last fifth session) of participants. None of the identified (S)AEs was causally related to the study or intervention. Cost–benefit considerations are needed to determine the best way to ensure participant safety in parenting programmes.

Conclusion
The applied active AE assessment procedure provides a comprehensive AE assessment tool that can be used by others—with adaptations for the specific context, if needed. Based on our experiences, we outline recommendations for future studies.

Trial registration
ClinicalTrials.gov, registration number phase 1: NCT03552250; phase 2: NCT03865485, phase 3: NCT04721730. Registered on 13 January 2021.
Effectiveness of mass trapping interventions using autocidal gravid ovitraps (AGO) for the control of the dengue vector, Aedes (Stegomyia) aegypti, in Northern Mexico
Authors: Aguilar-Durán Jesús Alejandro , Hamer Gabriel L. , Reyes-Villanueva Filiberto , Fernández-Santos Nadia Angélica , Uriegas-Camargo Sergio , Rodríguez-Martínez Luis Mario , Estrada-Franco José Guillermo , Rodríguez-Pérez Mario Alberto 
Published: August 2024

Abstract
Background
Mosquito-borne diseases, such as malaria, dengue, Zika and chikungunya, pose significant public health threats in tropical and subtropical regions worldwide. To mitigate the impact of these diseases on human health, effective vector surveillance and control strategies are necessary. Traditional vector control methods, which rely on chemical agents such as insecticides and larvicides, face challenges such as resistance and environmental concerns. Consequently, there has been a push to explore novel surveillance and control tools. Mass trapping interventions have emerged as a promising and environmentally friendly approach to reducing the burden of mosquito-borne diseases. This study assessed mass-trapping interventions using autocidal gravid ovitraps (AGOs) on Aedes aegypti populations in Reynosa, Tamaulipas, Mexico.

Methods
Four neighborhoods were selected to evaluate the effects of three treatments: AGO mass-trapping, integrated vector control (IVC), which included source reduction and the application of chemical larvicide and adulticide, and AGO + IVC on Ae. aegypti populations. A control area with no interventions was also included.
The effectiveness of the interventions was evaluated by comparing Ae. aegypti abundance between the pre-treatment period (9 weeks) and the post-treatment period (11 weeks) for each treatment.

Results
Only treatment using AGO mass trapping with an 84% coverage significantly reduced Ae. aegypti female populations by 47%, from 3.75 ± 0.32 to 1.96 ± 0.15 females/trap/week. As expected, the abundance of Ae. aegypti in the control area did not differ from the pre- and post-treatment period (range of 4.97 ± 0.59 to 5.78 ± 0.53); Ae. aegypti abundance in the IVC treatment was 3.47 ± 0.30 before and 4.13 ± 0.35 after, which was not significantly different. However, Ae. aegypti abundance in the AGO + IVC treatment increased from 1.43 ± 0.21 before to 2.11 ± 0.20 after interventions; this increase may be explained in part by the low AGO (56%) coverage.

Conclusions
This is the first report to our knowledge on the effectiveness of mass-trapping interventions with AGOs in Mexico, establishing AGOs as a potential tool for controlling Ae. aegypti in Northeastern Mexico when deployed with sufficient coverage.

Graphical Abstract
The invasive Aedes albopictus in the Doñana World Heritage Site
Authors: Martínez-de la Puente Josué , Magallanes Sergio , González Mikel Alexander , Ruiz-López María José , Soriguer Ramón C. , Caceres Francisco , Ruiz Santiago , Figuerola Jordi 
Published: August 2024

Abstract
Background
Aedes albopictus is catalogued as one of the 100 most dangerous species worldwide. Native to Asia, the species has drastically increased its distribution range, reaching all continents except Antarctica. The presence of Ae. albopictus in Spain was first reported in 2004 in Cataluña (NE Spain), and it is spreading in the country.

Methods
We conducted an extensive mosquito monitoring study in the natural protected area of the Doñana National Park (SW Spain) in 2023. After identifying the presence of Ae. albopictus, a mosquito control strategy was developed and implemented to eradicate the species in the area.

Results
Overall, 12,652 mosquito females of 14 different species were captured at nine sites within the park. For the first time, the presence of Ae. albopictus was recorded in the area, despite intensive trapping performed at some localities since 2003. The presence of this invasive species in the park is most likely linked to human activities, potentially facilitated by daily car trips of personnel. Although larvae of Culex, Anopheles, and Culiseta mosquitoes were identified in these containers, the presence of Ae. albopictus larvae was not recorded in those locations. In spite of that, the biological larvicide Bacillus thuringiensis israelensis (Bti) was applied to artificial containers potentially used by Ae. albopictus as breeding sites.

Conclusions
This work evidences the high capacity of Ae. albopictus to reach highly conserved natural areas far from urban foci. We discuss the implications of the presence of Ae. albopictus in this endangered ecosystem and the potential control measures necessary to prevent its reintroduction.

Graphical Abstract
Social marketing and happiness in employment. Evidences from Glassdoor
Authors: Galiano-Coronil Araceli , Blanco-Moreno Sofía , Tobar-Pesantez Luis Bayardo 
Published: August 2024

AbstractBackgroundWith the increasing role of the Internet and social media, there are more significant opportunities for employees to express their opinions about the companies they work for more directly. A recognized job review website is Glassdoor.com, which collects employees’ opinions anonymously and the scores they give to companies. This descriptive study analyzes the assessment that employees give to companies by studying the advantages in their comments from the perspective of Happiness Management and Social Marketing. In this sense, this research aims to analyze how the main benefits offered by companies, are linked to the happiness of employees and to the actions of social marketing that companies develop affect the general satisfaction of employees.MethodsThis study has used in the worker comments, text mining, and inferential analysis techniques. The sample was divided into two blocks, with comments that refer to issues about social marketing and happiness. In each one, an inferential analysis was carried out using the Student’s T-test. This analysis allowed us to identify, in each sample of comments, in which advantages the differences in the mean ratings were significant depending on whether they were mentioned.ResultsThe main results indicate that social marketing and happiness are linked to the advantages employees comment on in reviews on Glassdoor. Significant differences exist in the average ratings of certain advantages depending on whether they are mentioned or not in the comments. Likewise, the differentiation between comments on social marketing and happiness offers scientific evidence of the most valued advantages in each cluster. Specifically, the advantages grouped into the following dimensions are working conditions, company image, and social relations.DiscussionThis research contributes to happiness management theories by empirically demonstrating how positive work environments enhance productivity, loyalty, and creativity. These insights show how leadership quality, work-life balance, and recognition contribute to workplace happiness, enhancing productivity, loyalty, and creativity. Such feedback aids job seekers in making informed decisions, helps companies improve practices and attract talent, and provides researchers with valuable data on employment trends and corporate culture’s effect on employee well-being.
Machine learning quantification of Amyloid-β deposits in the temporal lobe of 131 brain bank cases
Authors: Scalco Rebeca , Oliveira Luca C. , Lai Zhengfeng , Harvey Danielle J. , Abujamil Lana , DeCarli Charles , Jin Lee-Way , Chuah Chen-Nee , Dugger Brittany N. 
Published: August 2024

AbstractAccurate and scalable quantification of amyloid-β (Aβ) pathology is crucial for deeper disease phenotyping and furthering research in Alzheimer Disease (AD). This multidisciplinary study addresses the current limitations on neuropathology by leveraging a machine learning (ML) pipeline to perform a granular quantification of Aβ deposits and assess their distribution in the temporal lobe. Utilizing 131 whole-slide-images from consecutive autopsied cases at the University of California Davis Alzheimer Disease Research Center, our objectives were threefold: (1) Validate an automatic workflow for Aβ deposit quantification in white matter (WM) and gray matter (GM); (2) define the distributions of different Aβ deposit types in GM and WM, and (3) investigate correlates of Aβ deposits with dementia status and the presence of mixed pathology. Our methodology highlights the robustness and efficacy of the ML pipeline, demonstrating proficiency akin to experts’ evaluations. We provide comprehensive insights into the quantification and distribution of Aβ deposits in the temporal GM and WM revealing a progressive increase in tandem with the severity of established diagnostic criteria (NIA-AA). We also present correlations of Aβ load with clinical diagnosis as well as presence/absence of mixed pathology. This study introduces a reproducible workflow, showcasing the practical use of ML approaches in the field of neuropathology, and use of the output data for correlative analyses. Acknowledging limitations, such as potential biases in the ML model and current ML classifications, we propose avenues for future research to refine and expand the methodology. We hope to contribute to the broader landscape of neuropathology advancements, ML applications, and precision medicine, paving the way for deep phenotyping of AD brain cases and establishing a foundation for further advancements in neuropathological research.