bluuebunny/crossref_metadata_2025_split huggingface dataset:
Safety of endoscopic ultrasound‐guided fine‐needle aspiration for pancreatic solid mass in the elderly: A single‐center retrospective study
Authors: Takahashi Koji , Ohyama Hiroshi , Takiguchi Yuichi , Sekine Yu , Toyama Shodai , Yamada Nana , Sugihara Chihei , Kan Motoyasu , Ouchi Mayu , Nagashima Hiroki , Iino Yotaro , Kusakabe Yuko , Okitsu Kohichiroh , Ohno Izumi , Kato Naoya 
Published: September 2023

AimThere are few reports on the safety of endoscopic ultrasound‐guided fine‐needle aspiration (EUS‐FNA) in the elderly. In this study, we investigated the safety of EUS‐FNA for pancreatic solid masses in patients aged ≥80 years.MethodsThis is a single‐center retrospective study. A total of 600 patients with pancreatic solid masses who underwent EUS‐FNA under midazolam‐based sedation at our institution between September 2016 and December 2022 were enrolled in this study. Eligible patients were divided into two groups: an elderly group aged ≥80 (n = 84), as well as a nonelderly group aged ≤79 (n = 516). These two groups were compared.ResultsThe elderly group required significantly fewer midazolam doses for sedation (P < 0.001). Adverse events occurred in eight patients (1.3%), including one (1.2%) and seven (1.4%) in the elderly and nonelderly groups, respectively (P = 0.90). There were no cases of early adverse events in the elderly group and six cases (1.2%) in the nonelderly group (P = 0.32). There was one case of late adverse events in both the elderly and nonelderly groups (P = 0.14), and both were needle tract seeding. There was no significant difference between the two groups in the proportion of cases in which percutaneous oxygen saturation decreased to ≤90% during the EUS‐FNA.ConclusionsOur analysis suggests that EUS‐FNA for pancreatic solid masses can be safely performed in patients aged >80 years without increasing the adverse event rate compared to nonelderly patients aged <80 years. Geriatr Gerontol Int 2023; 23: 836–841.
Growing online‐to‐offline platform businesses: How Vytal became the world‐leading provider of smart reusable food packaging
Authors: Recker Jan , Bockelmann Theresa , Barthel Fabian 
Published: September 2023

AbstractOnline platform businesses can grow massively and rapidly. But what if a company's business model features both an online platform application and a physical product, as is the case in logistics (e.g. container distribution), consumer retail (e.g. food delivery), or mobility (e.g. booking of shared rental vehicles)? Online‐to‐offline platform businesses must synchronise online platform growth with offline product transaction growth because online platforms may attract users, but value generation and capture occur through offline product transactions. If one outpaces the other, either demand cannot be satisfied, or costs increase disproportionally. How do online‐to‐offline platform businesses navigate this dilemma? We report on the exemplary case of Vytal, an innovative startup that has managed to become the world‐largest provider of smart reusable packaging solutions in the food retail sector. Vytal couples the distribution of offline food containers with an online transaction platform application that connects restaurants, canteens, and supermarkets with consumers. We trace how Vytal strategically organised and orchestrated their growth online and offline. Based on our analysis, we offer a framework containing practical lessons for how companies can grow online‐to‐offline platform business models and navigate the trade‐offs between the online and offline components of such business models.
XBP1 promotes NRASG12D pre‐B acute lymphoblastic leukaemia through IL‐7 receptor signalling and provides a therapeutic vulnerability for oncogenic RAS
Authors: Salimi Azam , Schemionek‐Reinders Mirle , Huber Michael , Vieri Margherita , Patterson John B. , Alten Julia , Brümmendorf Tim H. , Kharabi Masouleh Behzad , Appelmann Iris 
Published: September 2023

AbstractActivating point mutations of the RAS gene act as driver mutations for a subset of precursor‐B cell acute lymphoblastic leukaemias (pre‐B ALL) and represent an ambitious target for therapeutic approaches. The X box‐binding protein 1 (XBP1), a key regulator of the unfolded protein response (UPR), is critical for pre‐B ALL cell survival, and high expression of XBP1 confers poor prognosis in ALL patients. However, the mechanism of XBP1 activation has not yet been elucidated in RAS mutated pre‐B ALL. Here, we demonstrate that XBP1 acts as a downstream linchpin of the IL‐7 receptor signalling pathway and that pharmacological inhibition or genetic ablation of XBP1 selectively abrogates IL‐7 receptor signalling via inhibition of its downstream effectors, JAK1 and STAT5. We show that XBP1 supports malignant cell growth of pre‐B NRASG12D ALL cells and that genetic loss of XBP1 consequently leads to cell cycle arrest and apoptosis. Our findings reveal that active XBP1 prevents the cytotoxic effects of a dual PI3K/mTOR pathway inhibitor (BEZ235) in pre‐B NRASG12D ALL cells. This implies targeting XBP1 in combination with BEZ235 as a promising new targeted strategy against the oncogenic RAS in NRASG12D‐mutated pre‐B ALL.
METTL3‐induced FGD5‐AS1 contributes to the tumorigenesis and PD‐1/PD‐L1 checkpoint to enhance the resistance to paclitaxel of endometrial carcinoma
Authors: Hao Min , Li Tianjie , Xiao Ling , Liu Yun 
Published: September 2023

AbstractEndometrial cancer (EC), a widely occurring cancer in the uterus, is among the top four most frequent malignancies in women. To improve approaches for combating this disease, it is essential to gain a more comprehensive comprehension of the intricate causes of EC. Accumulating evidence highlight the essential role of long non‐coding RNA (LncRNA) in EC progression, while its biological and mechanical function has not been fully revealed. In this study, a LncRNA microarray analysis was performed using four pairs of paclitaxel (PTX) resistant EC cells, FGD5‐AS1 was identified as a significantly upregulated gene. Biologically, it was found that FGD5‐AS1 enhances chemoresistance of EC cells to PTX treatment and blocking immune escape via PD‐1/PD‐L1 checkpoint. Furthermore, FGD5‐AS1 exerted an oncogene role in EC cells via promoting cell proliferation and migration. Mechanically, METTL3 could upregulate FGD5‐AS1 expression via N6‐methyladenosine (m6A) modification. The biological roles of METTL3 were exerted via modulating FGD5‐AS1 expression in EC. Collectively, our research has shed light on the involvement of the METTL3/FGD5‐AS1 axis in the development of PTX resistance in EC. This finding offers a new avenue for further exploration of the underlying mechanisms of chemoresistance in EC and provides valuable insights for the development of potential therapeutic targets in the treatment of EC.
Lobbying Across Policy Stages: Different Tales of Interest Group Success
Authors: Stevens Frederik 
Published: September 2023

AbstractThis article examines interest groups' lobbying success across the agenda‐setting and policy formulation stages of the European Union's policy process. On the basis of its exclusive right of initiative, the European Commission plays a pivotal role in both stages. I argue that interest groups relying mostly on pressure politics are more likely to achieve agenda‐setting success because the Commission primarily seeks to assess the level of political support when setting its policy priorities. Conversely, organisations focusing predominantly on expertise‐based lobbying are anticipated to be more likely to secure policy success as the Commission mainly requires expert knowledge when designing its policy proposals. An illustrative case study of the Commission's proposal on deforestation‐free products demonstrates the plausibility of the theoretical argument. Overall, this research shows that distinct policy stages provide interest groups with unique opportunities for attaining lobbying success.
Parental efficacy after a military parenting program: A dyadic latent growth model
Authors: Cai Qiyue , Basha Sydni , Gewirtz Abigail H. 
Published: September 2023

AbstractParental efficacy is an important aspect of parenting and a key outcome in many parenting programs. However, most studies focus on mothers, and less is known about the relationship between coparents' parental efficacy over time following intervention, and how parental distress can impact parental efficacy. The current study (N = 271 heterosexual couples; 162 intervention and 109 control) used a dyadic latent growth model to explore the dependence structure of parental efficacy between couples 2 years after assignment to a military parenting program, After Deployment, Adaptive Parenting Tools or a control condition. Results revealed a significant intervention effect, with both mothers and fathers in the intervention group exhibiting quadratic changes over 2 years, while the control group remained relatively stable. Notably, mothers' baseline emotional distress and fathers' deployment length emerged as predictors in understanding parental efficacy improvement over time. This research underscores the importance of adopting a family systems perspective and considering emotional distress and environmental stressors in designing targeted interventions to support military families and enhance overall well‐being.
Uncertainty model for automated gunshot residue particle length measurements obtained from electron microscopy images
Authors: de Martins de Souza André Luís , Carreteiro Damasceno Jailton , Prado Charles Bezerra do , Magalhães Gurgel Mônica Aline , Carvalho Silva Renata 
Published: September 2023

AbstractCurrently, the use of algorithms and computer vision systems for metrological purposes has increased in different areas of knowledge to reduce human error and process deviations, consequently increasing reliability and reducing measurement uncertainties. This study presents a model for estimating the uncertainty of Feret's diameter (DF) measurements of scanning electron microscopy (SEM) images from regular and irregular gunshot residue (GSR) particles at different magnifications. The data were extracted using the automatic measurement algorithm developed by the Brazilian Institute of Metrology, Quality and Technology (Inmetro). The proposed uncertainty model was based on the recommendations of the guide to the expression of uncertainty in measurement (GUM). The gold standard technique to identify and detect GSR particles is the SEM coupled to energy dispersive X‐ray spectroscopy (SEM/EDS), which was used in the study. The low uncertainty values obtained in this study are justified by the refinement of the measurements performed at each stage of digital image procedures. The proposed uncertainty model contributes in an innovative way to the metrological evaluation of regular and irregular GSR particles at different images magnifications. The correct morphometry definition of these particles allows to study their distinction from other possible sources of GSR and, above all, their correlation with the type of ammunition used when firing the firearm. These measurement uncertainty calculations can be applied to any object images acquired by SEM, which provides more confidence in the results of measurements of the object of interest.
Effects of HMGB1/RAGE/cathespin B inhibitors on alleviating hippocampal injury by regulating microglial pyroptosis and caspase activation in neonatal hypoxic–ischemic brain damage
Authors: Zhu Kaiyi , Zhu Xing , Yu Jie , Chen Lu , Liu Shiqi , Yan Mingjing , Yang Wei , Sun Yanyan , Zhang Zhe , Li Jian , Shen Tao , Hei Mingyan 
Published: September 2023

AbstractMicroglia play a crucial role in regulating neuroinflammation in the pathogenesis of neonatal hypoxic–ischemic brain damage (HIBD). Pyroptosis, an inflammatory form of programmed cell death, has been implicated in HIBD; however, its underlying mechanism remains unclear. We previously demonstrated that high‐mobility group box 1 protein (HMGB1) mediates neuroinflammation and microglial damage in HIBD. In this study, we aimed to investigate the association between HMGB1 and microglial pyroptosis and elucidate the mechanism involved in rats with HIBD (both sexes were included) and in BV2 microglia subjected to oxygen–glucose deprivation. Our results showed that HMGB1 inhibition by glycyrrhizin (20 mg/kg) reduced the expression of microglial pyroptosis‐related proteins, including caspase‐1, the N‐terminus fragment of gasdermin D (N‐GSDMD), and pyroptosis‐related inflammatory factors, such as interleukin (IL) ‐1β and IL‐18. Moreover, HMGB1 inhibition resulted in reduced neuronal damage in the hippocampus 72 h after HIBD and ultimately improved neurobehavior during adulthood, as evidenced by reduced escape latency and path length, as well as increased time and distance spent in the target quadrant during the Morris water maze test. These results revealed that HIBD‐induced pyroptosis is mediated by HMGB1/receptor for advanced glycation end products (RAGE) signaling (inhibition by FPS‐ZM1, 1 mg/kg) and the activation of cathespin B (cat B). Notably, cat B inhibition by CA074‐Me (5 mg/kg) also reduced hippocampal neuronal damage by suppressing microglial pyroptosis, thereby ameliorating learning and memory impairments caused by HIBD. Lastly, we demonstrated that microglial pyroptosis may contribute to neuronal damage through the HMGB1/RAGE/cat B signaling pathway in vitro. In conclusion, these results suggest that HMGB1/RAGE/cat B inhibitors can alleviate hippocampal injury by regulating microglial pyroptosis and caspase activation in HIBD, thereby reducing the release of proinflammatory mediators that destroy hippocampal neurons and induce spatial memory impairments.image
Using the depth deviation based on three‐dimensional images to evaluate the correction of nasolabial folds: A prospective and quantitative analysis
Authors: Ma Yucheng , Yang E. , Lin Wentao 
Published: September 2023

AbstractBackground and ObjectiveThe deepening of the nasolabial fold (NLF) is a common occurrence during the aging process, necessitating the development of an objective method to evaluate changes in NLFs. The objective of our study was to introduce a method of depth deviation based on three‐dimensional (3D) image for evaluating the efficacy of hyaluronic acid (HA) injection in correcting NLFs.MethodsBetween May 2019 and November 2019, we recruited 56 Chinese volunteers with moderate to severe NLFs for this study. The participants received HA injections and were followed up for a period of 12 months. Pre and posttreatment, we collected the Wrinkle Severity Rating Scale (WSRS) scores and 3D images. To assess the efficacy of NLF correction, we used the maximum value of depth deviation (MVD) based on 3D images and the Global Aesthetic Improvement Scale (GAIS) score. Additionally, we compared the relationship between MVD and other clinical parameters.ResultsFifty‐four female participants completed the study and were included in the analysis. The HA injection resulted in a significant decrease in NLF severity (p < 0.05). One month after the injection, the average GAIS score was 4.72 ± 0.45, and the average MVD was 2.10 ± 0.56 mm. Both the GAIS score and the average MVD exhibited a decline over time during the follow‐up period, with the average MVD showing a significant correlation with the GAIS score at all time points (p < 0.05).ConclusionsUsing 3D technology, we demonstrated that the quantitative data provided by MVD can serve as an objective method for evaluating the correction of NLFs.
The interrelationship between the COVID‐19 pandemic and conflict behavior: A survey
Authors: Chowdhury Subhasish M. , Karmakar Senjuti 
Published: September 2023

AbstractWe review the literature in economics and related fields on the relationship between the COVID‐19 pandemic and conflict behavior. Our survey covers the effects of the pandemic on individual‐level conflict, group‐level conflict, and the impact of existing conflict on the spread of the pandemic. We found an increase in intimate partner violence and a spillover between work‐family conflict and domestic violence. Additionally, there was a spike in anti‐East‐Asian hate crimes. While the group‐level conflict counts initially dropped, those eventually returned to pre‐pandemic levels. The deteriorating economy and food insecurity associated with the pandemic were major drivers of conflict in developing countries, but appropriate state stimulus reduced such conflicts. The existing history of conflict had a heterogeneous effect on the spread of the pandemic in different societies. We conclude by highlighting future research avenues.
The Double‐Edged Sword of Error Sharing in Organizations: From A Self‐Disclosure Perspective
Authors: Zhang Kaili , Zhao Bin , Yin Kui 
Published: September 2023

AbstractExtant research highlights the importance of error sharing for managing errors in organizations, but little work examines what happens to employees who disclose errors. Treating errors as sensitive information, we draw on the self‐disclosure literature to propose that error sharing can influence leaders’ evaluations of employee ability and integrity, which affect leader trust in the employee; error visibility and severity work as contingency factors in the above links. We conducted two field studies and one experimental study to test our hypotheses. We used data collected in China from manufacturing companies (560 employees from 71 teams in Study 1), a high‐reliability organization (359 employees from 104 teams in Study 2), and an online sample (356 participants in Study 3). Results show that error sharing impairs leader trust via the negative evaluation of the employee's ability but enhances trust via the positive evaluation of the employee's integrity; error visibility and severity moderate the relationships between error sharing and leader evaluation of employee integrity and leader trust such that the positive relationships are enhanced when errors are of lower visibility or higher severity. Our study offers a novel perspective to understand the relational consequences of error sharing at work.
Identifying potential immuno‐oncology targets in salivary gland mucoepidermoid carcinoma based on inflammatory status and treatment response
Authors: Urumarudappa Santhosh Kumar J. , Tran Vy Ngoc Thuy , Oo Hay Mar , Suntiparpluacha Monthira , Sampattavanich Somponnat , Rosa Vinicius , Ruangritchankul Komkrit , Ferreira Joao N. , Chaisuparat Risa 
Published: September 2023

AbstractBackgroundMucoepidermoid carcinoma is a rare salivary gland malignant tumour. This study aimed to investigate inflammatory and immune signatures of mucoepidermoid carcinoma by identifying potential proteo‐transcriptomic biomarkers towards the development of precision immuno‐oncology treatment strategies.MethodsA total of 30 biopsies obtained from patients diagnosed with mucoepidermoid carcinoma between 2013 and 2022 were analysed after H&E staining for scoring of histological inflammatory stroma subtypes and inflammatory hotspots with QuPath. Multiplex immunofluorescence staining and NanoString nCounter PanCancer IO 360™ panel were used to assess stroma and tumour inflammation signatures in high grade mucoepidermoid carcinoma cases in the tumour microenvironment via proteomics and transcriptomics, respectively.ResultsInflammatory cells within the histological inflammatory stroma inflammatory (HIS‐INF/hot) tumour neighbourhoods were greater compared to the histological inflammatory stroma‐immune desert (HIS‐ID/cold) (p = 0.001). A similar trend was observed between treatment non‐responders and responders in stroma neighbourhoods (p = 0.0625) and in stroma‐to‐interface inflammatory hotspots (p = 0.0081), indicating an augmented inflammatory response in hot tumours and non‐responders. Furthermore, there were striking differences in the expression of pan‐immune leukocyte marker CD45 between responders and non responders particularly in the tumour neighbourhoods (p = 0.0341), but such were not robust for PD‐1 and macrophage fractions. Additionally, transcriptomic analysis revealed key differences in leukocyte activation profiles between responders and non‐responders.ConclusionThis preliminary report unveils the importance of assessing immune leukocyte cellular fractions and pathways for future prognostic biomarker discoveries in mucoepidermoid carcinoma as per the involvement of CD45‐driven inflammatory and immune mediators in high grade mucoepidermoid carcinoma in non‐responders to treatment. These findings will potentially contribute to the development of novel personalised immunotherapies.
Developing a deep learning model for sleep stage prediction in obstructive sleep apnea cohort using 60 GHz frequency‐modulated continuous‐wave radar
Authors: Lee Ji Hyun , Nam Hyunwoo , Kim Dong Hyun , Koo Dae Lim , Choi Jae Won , Hong Seung‐No , Jeon Eun‐Tae , Lim Sungmook , Jang Gwang soo , Kim Baek‐hyun 
Published: September 2023

SummaryGiven the significant impact of sleep on overall health, radar technology offers a promising, non‐invasive, and cost‐effective avenue for the early detection of sleep disorders, even prior to relying on polysomnography (PSG)‐based classification. In this study, we employed an attention‐based bidirectional long short‐term memory (Attention Bi‐LSTM) model to accurately predict sleep stages using 60 GHz frequency‐modulated continuous‐wave (FMCW) radar. Our dataset comprised 78 participants from an ongoing obstructive sleep apnea (OSA) cohort, recruited between July 2021 and November 2022, who underwent overnight polysomnography alongside radar sensor monitoring. The dataset encompasses comprehensive polysomnography recordings, spanning both sleep and wakefulness states. The predictions achieved a Cohen's kappa coefficient of 0.746 and an overall accuracy of 85.2% in classifying wakefulness, rapid‐eye‐movement (REM) sleep, and non‐REM (NREM) sleep (N1 + N2 + N3). The results demonstrated that the models incorporating both Radar 1 and Radar 2 data consistently outperformed those using only Radar 1 data, indicating the potential benefits of utilising multiple radars for sleep stage classification. Although the performance of the models tended to decline with increasing OSA severity, the addition of Radar 2 data notably improved the classification accuracy. These findings demonstrate the potential of radar technology as a valuable screening tool for sleep stage classification.