bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tumor-neutrophil crosstalk promotes in vitro and in vivo glioblastoma progression
Authors: Rubenich Dominique S. , de Souza Priscila O. , Omizzollo Natalia , Aubin Mariana R. , Basso Paulo J. , Silva Luisa M. , da Silva Eloisa M. , Teixeira Fernanda C. , Gentil Gabriela F.S. , Domagalski Jordana L. , Cunha Maico T. , Gadelha Kerolainy A. , Diel Leonardo F. , Gelsleichter Nicolly E. , Rubenich Aline S. , Lenz Gabriela S. , de Abreu Aline M. , Kroeff Giselle M. , Paz Ana H. , Visioli Fernanda , Lamers Marcelo L. , Wink Marcia R. , Worm Paulo V. , Araújo Anelise B. , Sévigny Jean , Câmara Niels O. S. , Ludwig Nils , Braganhol Elizandra 
Published: May 2023

IntroductionThe tumor microenvironment (TME) of glioblastoma (GB) is characterized by an increased infiltration of immunosuppressive cells that attenuate the antitumor immune response. The participation of neutrophils in tumor progression is still controversial and a dual role in the TME has been proposed. In this study, we show that neutrophils are reprogrammed by the tumor to ultimately promote GB progression.MethodsUsing in vitro and in vivo assays, we demonstrate the existence of bidirectional GB and neutrophil communication, directly promoting an immunosuppressive TME. Results and discussionNeutrophils have shown to play an important role in tumor malignancy especially in advanced 3D tumor model and Balb/c nude mice experiments, implying a time- and neutrophil concentration-dependent modulation. Studying the tumor energetic metabolism indicated a mitochondria mismatch shaping the TME secretome. The given data suggests a cytokine milieu in patients with GB that favors the recruitment of neutrophils, sustaining an anti-inflammatory profile which is associated with poor prognosis. Besides, glioma-neutrophil crosstalk has sustained a tumor prolonged activation via NETs formation, indicating the role of NFκB signaling in tumor progression. Moreover, clinical samples have indicated that neutrophil-lymphocyte ratio (NLR), IL-1β, and IL-10 are associated with poor outcomes in patients with GB. ConclusionThese results are relevant for understanding how tumor progression occurs and how immune cells can help in this process.
Advanced HCC with amplified mesenchymal epithelial transition factor receptor responds well to savolitinib: a case report
Authors: Yan Ningning , Zhang Ziheng , Guo Sanxing , Shen Shujing , Li Xingya 
Published: May 2023

ObjectiveCurrent treatment agents for HCC are mostly immune checkpoint inhibitors (ICIs) plus bevacizumab and multitarget tyrosine kinase inhibitors (TKIs); however, their limited overall response rate and shorter median progression-free survival (PFS) discourage their frequent use. The development of Mesenchymal Epithelial Transition Factor receptor (MET) Tyrosine Kinase Inhibitors (MET-TKI) has transformed the treatment pattern in MET-altered solid tumors and improved their prognosis. However, the benefits of MET-TKIs in MET-amplified hepatocellular carcinoma (HCC) remain unclear.MethodsHere, we present a case of advanced HCC amplified with MET treated with savolitinib, a MET-TKI, after progression from first-line treatment with bevacizumab plus sintilimab.ResultsThe patient achieved a partial response (PR) to savolitinib in the second line setting. The progression-free survival (PFS) of first-line of bevacizumab plus sintilimab and sequential second-line treatment with MET-TKI, savolitinib, are 3 and over 8 months, respectively. furthermore, the patient still had continuous PR status with manageable toxicities.ConclusionsThe present case report provides first-hand evidence that savolitinib may be beneficial for patients with advanced MET-amplified HCC and offers a promising treatment option.
Use of cell-free signals as biomarkers for early and easy prediction of preeclampsia
Authors: Gekas Jean , Boomer Theresa Hopkins , Rodrigue Marc-André , Jinnett Kristine N. , Bhatt Sucheta 
Published: May 2023

IntroductionPreeclampsia (PE) is a leading cause of maternal and perinatal morbidity worldwide. However, current methods of screening are complicated and require special skill sets. In this observational study of prospectively collected samples, we wanted to evaluate if cell-free (cf) DNA could be an efficient biomarker for identification of at-risk patients.MethodsOne hundred patients attending a private prenatal clinic in Canada were enrolled in their first trimester of pregnancy and a blood draw was carried out at 11 + 0 to 14 + 2 weeks’ (timepoint A) and 17 + 6 to 25 + 5 weeks of gestation (timepoint B). CfDNA signals, namely concentration, fetal fraction, and fragment size distribution, were correlated with clinical outcomes in the test population to develop the logistic regression model.ResultsTwelve patients developed PE—four early-stage and eight late-stage PE. Significant differences were observed between PE patients and control cases for all three cfDNA signals at timepoint A, while both fetal fraction and concentration were significantly different between PE patients and control cases at timepoint B. Overall, the model had a sensitivity of up to 100% and specificity of up to 87.5% at Timepoint A.ConclusionThis proof-of-principle study showed that use of this logistic regression model could identify patients at risk of preeclampsia in the first trimester of pregnancy.
Hyper-parameter tuning and feature extraction for asynchronous action detection from sub-thalamic nucleus local field potentials
Authors: Martineau Thomas , He Shenghong , Vaidyanathan Ravi , Tan Huiling 
Published: May 2023

IntroductionDecoding brain states from subcortical local field potentials (LFPs) indicative of activities such as voluntary movement, tremor, or sleep stages, holds significant potential in treating neurodegenerative disorders and offers new paradigms in brain-computer interface (BCI). Identified states can serve as control signals in coupled human-machine systems, e.g., to regulate deep brain stimulation (DBS) therapy or control prosthetic limbs. However, the behavior, performance, and efficiency of LFP decoders depend on an array of design and calibration settings encapsulated into a single set of hyper-parameters. Although methods exist to tune hyper-parameters automatically, decoders are typically found through exhaustive trial-and-error, manual search, and intuitive experience.MethodsThis study introduces a Bayesian optimization (BO) approach to hyper-parameter tuning, applicable through feature extraction, channel selection, classification, and stage transition stages of the entire decoding pipeline. The optimization method is compared with five real-time feature extraction methods paired with four classifiers to decode voluntary movement asynchronously based on LFPs recorded with DBS electrodes implanted in the subthalamic nucleus of Parkinson’s disease patients.ResultsDetection performance, measured as the geometric mean between classifier specificity and sensitivity, is automatically optimized. BO demonstrates improved decoding performance from initial parameter setting across all methods. The best decoders achieve a maximum performance of 0.74 ± 0.06 (mean ± SD across all participants) sensitivity-specificity geometric mean. In addition, parameter relevance is determined using the BO surrogate models.DiscussionHyper-parameters tend to be sub-optimally fixed across different users rather than individually adjusted or even specifically set for a decoding task. The relevance of each parameter to the optimization problem and comparisons between algorithms can also be difficult to track with the evolution of the decoding problem. We believe that the proposed decoding pipeline and BO approach is a promising solution to such challenges surrounding hyper-parameter tuning and that the study’s findings can inform future design iterations of neural decoders for adaptive DBS and BCI.
Neural network-based model for evaluating inert nodules and volume doubling time in T1 lung adenocarcinoma: a nested case−control study
Authors: Wang Bing , Zhang Hui , Li Wei , Fu Siyun , Li Ye , Gao Xiang , Wang Dongpo , Yang Xinjie , Xu Shaofa , Wang Jinghui , Hou Dailun 
Published: May 2023

ObjectiveThe purpose of this study is to establish model for assessing inert nodules predicting nodule volume-doubling.MethodsA total of 201 patients with T1 lung adenocarcinoma were analysed retrospectively pulmonary nodule information was predicted by an AI pulmonary nodule auxiliary diagnosis system. The nodules were classified into two groups: inert nodules (volume-doubling time (VDT)&gt;600 days n=152) noninert nodules (VDT&lt;600 days n=49). Then taking the clinical imaging features obtained at the first examination as predictive variables the inert nodule judgement model &lt;sn&lt;/sn&gt;&gt;(INM) volume-doubling time estimation model (VDTM) were constructed based on a deep learning-based neural network. The performance of the INM was evaluated by the area under the curve (AUC) obtained from receiver operating characteristic (ROC) analysis the performance of the VDTM was evaluated by R2(determination coefficient).ResultsThe accuracy of the INM in the training and testing cohorts was 81.13% and 77.50%, respectively. The AUC of the INM in the training and testing cohorts was 0.7707 (95% CI 0.6779-0.8636) and 0.7700 (95% CI 0.5988-0.9412), respectively. The INM was effective in identifying inert pulmonary nodules; additionally, the R2 of the VDTM in the training cohort was 0.8008, and that in the testing cohort was 0.6268. The VDTM showed moderate performance in estimating the VDT, which can provide some reference during a patients’ first examination and consultationConclusionThe INM and the VDTM based on deep learning can help radiologists and clinicians distinguish among inert nodules and predict the nodule volume-doubling time to accurately treat patients with pulmonary nodules.
Preoperative prediction of Ki-67 and p53 status in meningioma using a multiparametric MRI-based clinical-radiomic model
Authors: Moon Chung-Man , Lee Yun Young , Kim Doo-Young , Yoon Woong , Baek Byung Hyun , Park Jae-Hyun , Heo Suk-Hee , Shin Sang-Soo , Kim Seul Kee 
Published: May 2023

PurposeTo investigate the utility of preoperative multiparametric magnetic resonance imaging (mpMRI)-based clinical-radiomic analysis combined with machine learning (ML) algorithms in predicting the expression of the Ki-67 proliferative index and p53 tumor suppressor protein in patients with meningioma.MethodsThis multicenter retrospective study included 483 and 93 patients from two centers. The Ki-67 index was classified into high (Ki-67≥5%) and low (Ki-67&lt;5%)-expressed groups, and the p53 index was classified into positive (p53≥5%) and negative (p53&lt;5%)-expressed groups. Clinical and radiological features were analyzed using univariate and multivariate statistical analyses. Six ML models were performed with different types of classifiers to predict Ki-67 and p53 status.ResultsIn the multivariate analysis, larger tumor volumes (p&lt;0.001), irregular tumor margin (p&lt;0.001), and unclear tumor-brain interface (p&lt;0.001) were independently associated with a high Ki-67 status, whereas the presence of both necrosis (p=0.003) and the dural tail sign (p=0.026) were independently associated with a positive p53 status. A relatively better performance was yielded from the model constructed by combined clinical and radiological features. The area under the curve (AUC) and accuracy of high Ki-67 were 0.820 and 0.867 in the internal test, and 0.666 and 0.773 in the external test, respectively. Regarding p53 positivity, the AUC and accuracy were 0.858 and 0.857 in the internal test, and 0.684 and 0.718 in the external test.ConclusionThe present study developed clinical-radiomic ML models to non-invasively predict Ki-67 and p53 expression in meningioma using mpMRI features, and provides a novel non-invasive strategy for assessing cell proliferation.
Case Report: Transvaginal specimen extraction following totally laparoscopic D2 distal gastrectomy for gastric cancer in a patient with situs inversus totalis: with video
Authors: Li Zeyu , Zhang Xiaolong , Tian Lifei , Liu Zheng , Liao Xinhua , Qiu Jian , Wang Guorong , Yan Likun , Wang Xiaoqiang , Wang Xishan , Liu Ruiting 
Published: May 2023

Because of its significant advantage of fast postoperative recovery, natural orifice specimen extraction surgery (NOSES) has attracted increasing attention worldwide. However, the NOSES in gastric cancer (GC) treatment still needs more clinical practice, especially for the rare anatomical anomaly. Situs inversus totalis (SIT) is a rare autosomal recessive anatomical anomaly with an incidence ranging between 1/8,000 and 1/25,000 births. We present a video of transvaginal specimen extraction following totally laparoscopic D2 distal gastrectomy performed in a 59-year-old woman known to have SIT. Preoperative investigations revealed that the patient had early GC at the antrum. A gastroscopy report from the local hospital showed signet-ring cell carcinoma. The preoperative computed tomography scan revealed irregular thickening of the gastric wall at the junction of the greater curvature and antrum without metastasis to the lymph nodes. In total, laparoscopic D2 distal gastrectomy was performed with transvaginal specimen extraction. Billroth II with Braun anastomosis was performed for reconstruction. The length of the operation was 240 min without intraoperative complications and with minimal blood loss of 50 ml. The patient was uneventfully discharged on postoperative Day 7. The final pathology confirmed signet-ring cell carcinoma confined to the mucosal muscle without metastasis in 16 lymph nodes. Transvaginal specimen extraction following totally laparoscopic D2 distal gastrectomy can be safely performed in patients with SIT and has similar surgical outcomes to usual laparoscopic gastrectomy.
Power scaling of high-power linearly polarized fiber lasers with <10 GHz linewidth
Authors: Chu Qiuhui , Shu Qiang , Li Fengyun , Guo Chao , Yan Yuefang , Zhang Haoyu , Liu Yu , Tao Rumao , Lin Honghuan , Wang Jianjun 
Published: May 2023

In this work, an all-fiberized polarization-maintained (PM) fiber laser has been demonstrated with a near-top-hat-shaped spectrum. By optimizing the modulation signal to generate near-top-hat-shaped spectrums, a 3-kW PM fiber laser has been achieved at &lt;10 GHz linewidth with the polarization extinction ratio of 96% and beam quality of 1.156, which is the highest output power ever reported with approximately 10 GHz linewidth, and further scaling of output power is limited by stimulated Brillouin scattering. By decomposing the mode content, the proportion of the fundamental mode in the output laser is above 97%. The stimulated Raman scattering suppression ratio reaches 62 dB at the maximal output power.
Incorporating the effect of the photon spectrum on biomass accumulation of lettuce using a dynamic growth model
Authors: Abedi Mahyar , Tan Xu , Stallknecht Eric J. , Runkle Erik S. , Klausner James F. , Murillo Michael S. , Bénard André 
Published: May 2023

Cultivation studies in specialty crop optimization utilize models to estimate the fresh and dry mass yield. However, the spectral distribution and photon flux density (μmol m−2 s−1) affect plant photosynthetic rate and morphology, which is usually not incorporated in plant growth models. In this study, using data for indoor-grown lettuce (Lactuca sativa) cultivated under different light spectra, a mathematical model that incorporates these effects is presented. Different experimental cases are used to obtain a modified quantum use efficiency coefficient that varies with the spectral distribution. Several models for this coefficient are fitted using experimental data. Comparing the accuracy of these models, a simple first- or second-order linear model for light-use efficiency coefficient has about 6 to 8 percent uncertainty, while a fourth-order model has a 2 percent average error in prediction. In addition, normalizing overall spectral distribution leads to a more accurate prediction of the investigated parameter. A novel mathematical model based on normalized spectral irradiance integrated over wavelength for photosynthetically active radiation (PAR) wavebands and the far-red waveband is presented in this study. It accurately predicts lettuce dry mass grown indoors under different light spectra.
Environmental determinants for participation among stroke survivors in Africa, a scoping review
Authors: Assefa Yohannes Awoke , Demeke Zelalem Dessalegn , Wolde Sara , Guadie Yisak Girma 
Published: May 2023

PurposeIn this review, we aimed to determine the environmental factors that are influencing the participation of stroke survivors in Africa.MethodsFour electronic databases were systematically searched from inception to August 2021, and identified articles were screened by the two authors of this review based on predetermined criteria. No date restrictions were imposed, and we included any type of paper, including gray literature. We followed the scoping review framework by Arksey and O'Malley, which was later revised by Levac et al. The whole finding is reported using the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews (PRISMA-ScR).ResultsA total of 584 articles were generated by the systematic search, and one article was added manually. After eliminating the duplicates, the titles and abstracts of 498 articles were screened. From the screening, 51 articles were selected for full article review, of which 13 met the criteria to be included. In total, 13 articles were reviewed and analyzed based on the international classification of functioning, disability, and health (ICF) framework of the environmental determinants. Products and technology; natural environment and human-made changes to environment; and services, systems, and policies were found to be barriers for stroke survivors to participate in their community. Conversely, stroke survivors are getting good support from their immediate family and health professionals.ConclusionThis scoping review sought to identify the environmental barriers and the facilitators that are determining the participation of stroke survivors in Africa. The results of this study can serve as a valuable resource for policymakers, urban planners, health professionals, and other stakeholders involved in disability and rehabilitation. Nonetheless, additional research is necessary to validate the identified facilitators and barriers.
Physical match demands of four LIQUI-MOLY Handball-Bundesliga teams from 2019–2022: effects of season, team, match outcome, playing position, and halftime
Authors: Saal Christian , Baumgart Christian , Wegener Florian , Ackermann Nele , Sölter Florian , Hoppe Matthias W. 
Published: May 2023

IntroductionDue to the development in team handball, there is a need to optimize the physical capacities of team handball players for which knowledge of the physical match demands is essential. The aim of this study was to investigate the physical match demands of four LIQUI-MOLY Handball-Bundesliga (HBL) teams across three seasons with respect to the effects of season, team, match outcome, playing position, and halftime.MethodsA fixed installed local positioning system (Kinexon) was used, collecting 2D positional and 3D inertial measurement unit data at 20 and 100 Hz, respectively. The physical match demands were operationalized by basic (e.g., distance, speed, and acceleration) and more advanced variables (e.g., jumps, throws, impacts, acceleration load, and metabolic power). A total of 347 matches (213 with an additional ball tracking) were analyzed from four teams (one top, two middle, and one lower ranked) during three consecutive seasons (2019–2022). One-way ANOVAs were calculated to estimate differences between more than two groups (e.g., season, team, match outcome, playing position). Mean differences between halftimes were estimated using Yuen’s test for paired samples.ResultsLarge effects were detected for the season (0.6≤ξ^≤0.86), team (0.56≤ξ^≤0.72), and playing position (0.64≤ξ^≤0.98). Medium effects were found for match outcome (ξ^≤0.36) and halftime (ξ^≤0.47).ConclusionFor the first time, we provide a comprehensive analysis of physical match demands in handball players competing in the LIQUI-MOLY Handball-Bundesliga. We found that physical match demands differ on that top-level with up to large effect sizes concerning the season, team, match outcome, playing position, and halftime. Our outcomes can help practitioners and researchers to develop team and player profiles as well as to optimize talent identification, training, regeneration, prevention, and rehabilitation procedures.
Website redesign in a maternity setting: Co-designing a resource for consumer support and education
Authors: Elder Taryn , Cummins Leanne , Tait Claudia , Kuzela Wendy 
Published: May 2023

Women want to be informed about their healthcare. Google searches provide an accessible option for women during pregnancy, but the content is largely unmonitored. Women have expressed dissatisfaction and confusion about receiving conflicting information from clinicians across the maternity service. It is essential for providers to offer person-centred care and listen to the voices of consumers. If the aim is to provide a service women want to use, women must have the opportunity to voice what they want. The local health district (LHD) maternity website development project aimed to redesign maternity website pages over 12 months to meet community needs and increase hits to the site by 70% within six months. Consumers were approached to participate through maternity services in a regional Australian health district where approximately 3,500 babies are born yearly. In a three-phase participatory action research study, researchers identified the areas of concern for consumers, worked with them to co-design and implement a new website, and evaluated the changes. Almost 20% of women who birthed from January to March 2022 responded to the evaluation survey. Half of these had explored the website. After the upgrades, the number of hits to the district website service page increased by 875 (from 124 to 999). Post-development surveys showed that women who felt they received inconsistent information at the hospital during their pregnancy were more likely to visit the website for clarification (p = 0.009). Of women who visited the website, 78% found the information useful, and 73% said they would use it again. This study highlighted that women engaging in maternity services desire access to relevant, quality information through digital technology. Maternity website development improvements increased patient satisfaction and reduced confusion, providing a reliable source of accessible health information for consumers.