bluuebunny/crossref_metadata_2025_split huggingface dataset:
Midwinter Breakdown of ENSO Climate Impacts in East Asia
Authors: Geng Xin , Noh Kyung Min , Kim Kyungna , Kug Jong-Seong 
Published: May 2023

Abstract
The El Niño-Southern Oscillation (ENSO) influence on the East Asian winter monsoon (EAWM) exhibits remarkable non-stationarity on subseasonal timescales, severely limiting climate predictability. Here, based on observational and reanalysis datasets, we identify a robust subseasonal variability in the EAWM response to ENSO, with a notable synchronous break in mid-January lasting about 10 days. We suggest that this breakdown is largely caused by interference from the abrupt phase reversal of the ENSO-driven North Atlantic Oscillation (NAO), which occurs about a week earlier in early January. During El Niño years, the NAO phase transition from positive to negative triggers a rapid change in the mid-latitude atmospheric circulation via the quasi-stationary Rossby wave adjustment. This results in the strengthening of the Siberian high, which produces strong northerly wind anomalies over East Asia, while the anomalous western North Pacific anticyclone weakens and shifts to the southeast, eventually leading to the collapse of the teleconnection.
Prognostic value and immune infiltration of the NEK family in clear cell renal cell carcinoma
Authors: Zhu Yingli , Wu Lili , Lin Jianfan , Li Yufei , Chen Xuelan , Wu Xizhen , Kuang Yaqi , Lan Shanshan , Luo Zuojie 
Published: May 2023

Abstract
Background
Clear cell renal cell carcinoma (ccRCC) is a fatal urological malignancy, and surgery remains the primary treatment. Members of the never in mitosis gene A (NIMA)-related kinase (NEK) family have been found to participate in the progression of several cancers and could be used as target genes to treat corresponding diseases. Nonetheless, the prognostic value and immune infiltration levels of NEK family genes in ccRCC remain unknown.
Methods
Gene Set Cancer Analysis (GSCA), Tumor Immune Estimation Resource (TIMER), and Gene Expression Profiling Interactive Analysis (GEPIA) databases were utilized to examine the differential expression of NEK family genes in ccRCC, and the Kaplan-Meier plotter was utilized to analyze the prognosis. The Search Tool for Retrieval of Interacting Genes(STRING) database was used to construct a protein-protein interaction network. Analysis of function was performed by the Sangerbox tool. Finally, the relationship between NEK family genes and immune cell infiltration was explored using the TIMER database.
Results
Transcriptional levels of NEK2, NEK3, NEK5, NEK6, and NEK11 significantly differed between ccRCC and normal tissues. Moreover, there was a significant correlation between NEK1, NEK2, NEK4, NEK8, NEK9, and NEK10 and their clinicopathological stages in patients with ccRCC. Based on survival analysis, ccRCC patients with high transcriptional levels of NEK2, NEK3, NEK8, and NEK10 and low transcriptional levels of NEK1, NEK4, NEK5, NEK6, NEK7, NEK9, NEK11 had shorter survival times. Additionally, a significant relationship was observed between immune cell infiltration and NEK family members.
Conclusions
These results indicate that NEK family members are significantly differentially expressed in ccRCC, and a significant correlation exists between the NEK family and prognosis and immune infiltration. NEK family members may act as therapeutic targets and prognostic indicators in ccRCC.
Study of the relationship between circulating tumor cells and clinical characteristics, recurrence and metastasis in bladder cancer patients
Authors: Li Xiang , Chen， Rui-long , Jiang Chao , Zhu Teng-fei , Yi Wang 
Published: May 2023

Abstract
Background:
Bladder cancer is one of the most common tumors in urology, and the main cause of death in patients with bladder cancer is distant metastasis. The surviving tumor cells of bladder cancer entering peripheral blood are circulating tumor cells, which is closely related to the recurrence and metastasis of bladder cancer.To detect the typing and number of circulating tumor cells (CTC) in peripheral blood of bladder cancer patients, and to investigate its correlation with postoperative recurrence and metastasis of bladder cancer and its clinical application in prognostic evaluation.
Methods:
21 patients with bladder cancer were examined by CanPatrolTM method for the typing and number of CTC in peripheral blood, and the results were divided into mesenchymal CTC group (n=11), non-mesenchymal CTC group (n=7) and undetected group (n=3).
Results:
The median progression-free survival of bladder cancer patients in the mesenchymal CTC, non-mesenchymal CTC and undetected groups were 16.4, 21.7 and 26 months after surgery, respectively. The differences were statistically significant when bladder cancer patients were divided into two groups, mesenchymal CTC and non-mesenchymal CTC, and the clinical characteristics of bladder cancer patients with different pathological grading, TNM stage and with or without smoking history were compared; the results of univariate analysis showed that the differences were statistically significant when bladder cancer patients with or without smoking history, different pathological grading, TNM stage, CTC staging and different counts were compared in terms of postoperative recurrence and metastasis (P﹤0.05).
Conclusion:
Different peripheral blood CTC typing is related to the smoking history, pathological grading and TNM stage of bladder cancer patients. In summary, mesenchymal CTC can be used as a detection indicator for poor prognosis and high recurrence rates in bladder cancer patients.
Electroacupuncture inhibits neuroinflammation induced by astrocytic necroptosis through RIP1/ MLKL/ TLR4 pathway in a mouse model of spinal cord injury
Authors: Zhao Hongdi , Zong Xioaqin , Li Long , Li Na , Liu Chunlei , Zhang Wanchao , Li Juan , Yang Cheng , huang siqin 
Published: May 2023

Abstract
Astrocytic necroptosis plays an essential role in the progression and regression of neurological disorders, which contributes to the neuroinflammation and disrupts neuronal regeneration and remyelination of severed axons. Electroacupuncture (EA), an effective therapeutic efficacy against spinal cord injury (SCI), has been proved to reduce neuronal cell apoptosis, inhibit inflammation, and prompt neural stem cells proliferation and differentiations. However, there have been no reports on whether EA regulate astrocytic necroptosis in SCI model. To investigate the effects of EA on astrocytic necroptosis and the mechanisms involved in the inhibition of astrocytic necroptosis after SCI in mice by EA, 8-week-old female C57BL/6 mice were subjected to SCI surgery, and randomly divided into EA and SCI groups. Mice receiving sham surgery were included as sham group. “Jiaji” was selected as points for EA treatment, 10 min/day for 14 days. The in vitro data revealed that EA treatment significantly improved the nervous function and pathological changes after SCI. EA also reduced the number of GFAP/P-MLKL, GFAP/MLKL, GFAP/HMGB1, and Iba1/HMGB1 co-positive cells, and inhibited the expressions of IL-6, IL-1β and IL-33. The results indicate a significant reduction in inflammatory reaction and astrocytic necroptosis.in mice with SCI by EA. Additionally, the expressions of RIP1, MLKL, and TLR4, which are associated with necroptosis, were found to be down-regulation by EA. In this study, we confirmed that EA can inhibits neuroinflammation by reducing astrocytic necroptosis through down-regulation of RIP1/ MLKL/ TLR4 pathway in mice with spinal cord injury.
Amide Proton Transfer Imaging- Arterial Spin Labeling Mismatch - a New Imaging Biomarker for Pilocytic Astrocytoma
Authors: Rajendran Adhithyan , Natesan Chidambaranathan , Jawahar Prashant , Patil Sushama , Chilukuri Srinivas , Ghosh Siddhartha , Kumar Roopesh , Jalali Rakesh 
Published: May 2023

Abstract
We describe the potential utility of Amide Proton Transfer weighted (APTw) Magnetic Resonance Imaging and arterial spin labeling (ASL) in characterizing pilocytic astrocytoma (PA), a type of brain tumor that can be challenging to accurately diagnose and treat. The study included 50 patients with solid or predominantly solid intra-cranial and intra-axial tumors, with 25 patients diagnosed with PA and 25 patients diagnosed with other types of tumors. The study found that the APTw imaging-arterial spin labeling (ASL) mismatch is a new imaging biomarker that could be used to differentiate PA from other types of tumors with a high degree of sensitivity and specificity. The results suggest that APTw imaging and ASL may be useful in characterizing PA, potentially improving diagnosis and treatment planning for this type of brain tumor.
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
Authors: Helland Ragnhild Holden , Ferles Alexandros , Pedersen André , Kommers Ivar , Ardon Hilko , Barkhof Frederik , Bello Lorenzo , Berger Mitchel S. , Dunås Tora , Nibali Marco Conti , Furtner Julia , Hervey-Jumper Shawn , Idema Albert J. S. , Kiesel Barbara , Tewari Rishi Nandoe , Mandonnet Emmanuel , Müller Domenique M.J. , Robe Pierre A. , Rossi Marco , Sagberg Lisa M. , Sciortino Tommaso , Aalders Tom , Wagemakers Michiel , Widhalm Georg , Witte Marnix G. , Zwinderman Aeilko H. , Majewska Paulina L. , Jakola Asgeir S. , Solheim Ole , Hamer Philip C. Witt , Reinertsen Ingerid , Eijgelaar Roelant S. , Bouget David 
Published: May 2023

Abstract
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The current standard method for estimating it is subject to high inter-and intra-rater variability, and an automated method for segmentation of residual tumor in early post-operative MRI could lead to a more accurate estimation of extent of resection. In this study, two state-of-the-art neural network architectures for pre-operative segmentation were trained for the task. The models were extensively validated on a multicenter dataset with nearly 1000 patients, from 12 hospitals in Europe and the United States. The best performance achieved was a 61% Dice score, and the best classification performance was about 80% balanced accuracy, with a demonstrated ability to generalize across hospitals. In addition, the segmentation performance of the best models was on par with human expert raters. The predicted segmentations can be used to accurately classify the patients into those with residual tumor, and those with gross total resection.
New Phenomena in Rulkov map based on Poincaré cross-section
Authors: Wang Yang , Zhang Xiaoxue , Liang Song 
Published: May 2023

Abstract
Different from analyzing the time-series directly, the Poincaré cross-section method is employed in the dynamical study of the Rulkov mapping model, more importance is that some new phenomena of the model are reported in this paper. First, it is proved that x=−1 is the Poincaré cross-section for all non-converging-to-fixed-point trajectories based on fast-slow dynamics. Then, some new dynamics are presented by means of the Poincaré cross-section method. In detail, a “ lightning-shaped” periodic divider of the original model is introduced, which is caused by the different selection of the initial value of slow variable. The Period 3 on the Poincaré cross-section is proposed near the chaos region, which may be not reported in other literatures according to our understanding. In some parameter region, it will cause the pseudo chaos phenomenon, here the trajectories spend a lot time converging to a periodic solution. Besides, in the view of mean-field of action potential, the sensitiveness with small parameter’s perturbations is analyzed, which the period changes frequently in the bursts of spikes region, and it has robustness in the normal spikes region.
Distinct Electrophysiological Signatures of Intentional and Unintentional Mind-Wandering Revealed by Low-Frequency EEG Markers
Authors: Martel Adrien , Bruno Nicolas , Dockree Paul , Robertson Ian , Sitt Jacobo , Valero-Cabre Antoni 
Published: May 2023

Abstract
Mind-wandering, a widespread mental phenomenon in which attention shifts from an ongoing task, varies in intentionality. Recent research highlights the importance of differentiating between intentional and unintentional mind-wandering, as the latter is uniquely linked to adverse outcomes such as psychopathologies. In this study, we explored the electrophysiological underpinnings of these distinct forms of mindwandering using a robust feature extraction tool adapted from research on neural signatures of consciousness. We conducted univariate and multivariate pattern analyses on 54 EEG markers obtained from recordings immediately before participants provided multidimensional reports of their thoughts during a sustained attention task. Our findings revealed distinct electrophysiological signatures for on-task, intentional, and unintentional mind-wandering states, particularly within the low-frequency spectrum. Specifically, normalized theta power demonstrated the highest discriminative power for discerning on- and off-task states, while alpha band features and theta permutation entropy were uniquely associated with intentional versus unintentional mind-wandering. These results challenge the prevailing notion that increased alpha band activity is a generic marker of mind-wandering and suggest that unique brain activity patterns underlie the various forms of mind-wandering. Our study lays the groundwork for developing reliable, real-time detection systems for identifying mind-wandering using EEG machine learning models in both clinical and practical settings.
Investigating the Relationships Among The Forced Shift to Remote Learning, Employability and Work Readiness of Recent College Graduates
Authors: Lucero Celeste R. 
Published: May 2023

Abstract

Since the Covid-19 crisis manifested, it has drastically changed educational landscapes worldwide, with the Philippines grappling with digital disparities exacerbating inequality. Current studies mainly explore the immediate impact of enforced remote learning on academic performance and practical skills. However, there is an underexplored area concerning the effect on recent college graduates' employability and work readiness. This study aims to address this gap, focusing on the Philippines context. Valid responses from 131 recent college graduates were analyzed, revealing that the shift to remote learning significantly contributed to perceived employability (R2 = 0.458) and work readiness (R2 = 0.441). However, when examining the demographic profile, findings reported that it did not substantially influence these outcomes in the hierarchical regression model. This study broadens our understanding of the pandemic's far-reaching implications on higher education outcomes.
Mid-Infrared Photoacoustic Spectrum analysis of SF 6 Gas-decomposition System
Authors: HE Qing , Wanting DENG , Wei WANG , ZHANG Junlong , kai Zhou , Xin Tong , LI Yanyuan , Hu Ran 
Published: May 2023

Abstract
Until now, the photoacoustic spectrum (PAS) analysis technology can’t face the need for sulfur hexafluoride (SF6) gas-decomposition products due to the high noise level, big shock and low accuracy. In this manuscript, we present a portable SF6 gas-decomposition PAS gas analysis system based on mid-infrared quantum cascade laser (MI-QCL). Because the narrow linewidth, high speed tunable and stability wavelength of MI-QCL, our PAS gas analysis system has a good performance. A platform for MI-QCL PAS system is set up in our work. The accuracy of quantitative detection for sulfur dioxide (SO2), hydrogen sulfide (H2S) and carbon monoxide (CO) in SF6 gas background mixture gas is 0.5ppm, 0.1ppm and 0.1ppm, respectively. Experiment results demonstrate the MI-QCL PAS system not only has a high detection accuracy, but also has a small system volume. This work gives a novel solution method for PAS system miniaturization in the future.
Current and Future Profitability of Long-Duration Energy Storage Technologies
Authors: Grimm Johannes , Kenis Michiel , Schauf Magnus 
Published: May 2023

Abstract
Intermittent renewable electricity generation is increasing in many power systems. Long-duration electricity storage (LDES) could complement this development to decrease curtailment and improve system cost-effectiveness. We investigate levelized costs of storage (LCOS) and investment profitability for prospective LDES technologies. Using granular German power market data, we optimize each technologies’ bidding schedule. We find that under current costs, only pumped hydro is profitable while also achieving the lowest LCOS by far. Assuming technological progress to maturity and improved financing conditions, iron redox flow batteries outperform and gravity storage converges to the pumped hydro benchmark of 47-54 EUR/MWh LCOS and 7-15% return on equity. Yet, meeting investor expectations is sensitive to cost and price volatility assumptions. Furthermore, additional revenue from a higher duration generally does not compensate for associated higher costs. Subsidies of 73-83 EUR/kWh or mechanisms enabling further revenue streams might be necessary to mobilize private investment into promising LDES.
Ethnic heterogeneity and healthcare utilization: The mediating role of poverty in Ghana
Authors: Adabor Opoku , Ayesu Enoch Kojo 
Published: May 2023

Abstract
Ethnic heterogeneity defined as two randomly selected individuals who belong to different linguistic or ethnic groups living in a society or an area has received ample attention from researchers. However, the influence of ethnic heterogeneity on healthcare utilization is lacking in the literature. This paper bridges a significant gap in the literature by reporting findings from the first study that examines the effect of ethnic heterogeneity on healthcare utilization in Ghana. The study utilized data from both the Demographic health survey and Ghana Population and Housing Census. Our endogeneity corrected estimates show that a unit increase in a heterogenous ethnic group lowers the likelihood of utilizing healthcare at the time of birth and after delivery via increasing household poverty. Our results indicate the need to design policies and strategies to reduce poverty to increase healthcare utilization in heterogeneous ethnic societies.
Feasibility of Patlak parametric imaging in the diagnosis of liver cancer
Authors: Wang Xin , Shi Huimin , Xu Yue , Zhu Gan , Wang Hui , Dai Peng-fei 
Published: May 2023

Abstract
Conclusion Whole-body dynamic 18F-FDG PET/CT parameters are of great value in the differential diagnosis of benign and malignant liver lesions. Whole-body dynamic 18F-FDG PET/CT is more sensitive than whole-body static 18F-FDG PET/CT in the differential diagnosis of liver malignancy.Using reliable Patlak graphical analysis, whole-body dynamic PET/CT parametric imaging can achieve comparable or potentially better lesion detection capabilities than static SUV imaging.
Background To investigate the value of whole-body dynamic 18F-FDG PET/CT parametric imaging in the differential diagnosis of liver-occupying lesions.
Methods Eighty-one patients with hepatic occupancies were selected for whole-body dynamic PET/CT examinations. The imaging characteristics of Patlak parameter images of patients in the benign and malignant liver groups and patients with different pathological types of hepatic malignancies were analysed and compared, and the results were statistically analysed.
Results Among 81 patients, SUVmax,Kimax,TBRSUV and TBRKi showed statistically significant differences in the benign liver groups and the malignant liver groups. (SUVmax: t =-13.020, P<0.001; Kimax: t =-12.984, P<0.001; TBRSUV: t =-10.541, P<0.001; TBRKi: t=-7.536, P<0.001). Among 67 cases in liver malignancy, the TBRKi values were higher than TBRSUV according to the results of the box plot analysis. Pearson correlation analysis showed that SUVmax was positively correlated with Kimax (r=0.882, P<0.01) and TBRSUV was positively correlated with TBRKi (r=0.848, P<0.01),respectively.The sensitivity and specificity of SUVmax, Kimax, TBRSUV and TBRKi in the diagnosis of primary liver cancer and liver metastases were 84.0% 65.7%, 68.0% 88.6%, 64.0% 85.1% ,92.0% and 68.6%, respectively.
End of Life Care Practices at a Tertiary Cancer Centre in India: An Observational Study
Authors: Maurya Bhanu Pratap , Gupta Raghav , Rathore Puneet , Mishra Seema , Bharati Sachidanand Jee , Kumar Vinod , Gupta Nishkarsh , Garg Rakesh , Bhatnagar Sushma 
Published: May 2023

Abstract

Purpose To assess the End of life care (EOLC ) practices and the magnitude of futile care in a tertiary cancer center. To find out the barriers in provision of good EOLC in cancer patients.Methods An observational study was done on 129 patients. Patients were enrolled using the palliative prognostic index (PPI) in the end of life stages. Socio-demographic and clinical details were recorded. Detailed counselling done by the palliative physician or the oncologist was recorded. The barriers in provision of care were recorded.Results In this study initial experience of 129 patients were analyzed. PPI score was > 6 (survival shorter than 3 weeks) in 85 (65.89%) ; 34 (26.36%) had PPI score between > 4 to 6 (survival between 3 to 6 weeks); and 10 (7.75%) patients had PPI score less than equal to 4( survival more than 6 weeks).77 (59.69%) patients preferred home as their place for EOLC while 41(31.78%) preferred hospital, 7 (5.43%) preferred hospice while 4 (3.10%) opted ICU for their EOLC. The most common barrier associated was caregiver related in 34 case, followed by physician related in 14 cases and patients related in 3 cases, because of hope of being cured in hospital, social stigma, fear of worsening of symptoms at home, denial.Conclusion EOLC is the least studied part of patient care with various barriers. With proper communication and a good palliative care support, futile treatment can be avoided. With healthy communication we can empower family members and patients for a good EOLC.
Robotic Docking Time with the HugoTM RAS system in gynecologic surgery: A procedure independent learning curve using the Cumulative Summation Analysis (CUSUM)
Authors: Panico Giovanni , Mastrovito Sara , Campagna Giuseppe , Monterossi Giorgia , Costantini Barbara , Gioè Alessandro , Oliva Riccardo , Ferraro Chiara , Ercoli Alfredo , Fanfani Francesco , Scambia Giovanni 
Published: May 2023

Abstract
Robot-assisted surgery has been proven to offer improvements in term of surgical learning curve and feasibility of minimally invasive surgery, but has often been criticized for its longer operative times compared to conventional laparoscopy. Additional times can be split into time required for system set-up, robotic arms docking and calibration of robotic instruments; secondly, surgeon’s learning curve. One of the newest systems recently launched on the market is the Hugo™ RAS (MEDTRONIC Inc, United States). As some of the earliest adopters of the Hugo™ RAS system technology, we present our data on robotic docking learning curve for the first 192 gynecologic robotic cases performed at our institution. Our data indicates that robotic set-up and docking with the new Hugo™ RAS robotic surgical system can be performed time-effectively and that the specific robotic docking learning curve is comparable to preexisting data for other platforms. This preliminary insights into this recently released system may be worthwhile for other centers which may soon adopt this new technology and may need some relevant information on topics such as OR times. Further studies are necessary to assess the different features of the Hugo™ RAS considering other technical and surgical aspects, to fully become familiar with this novel technology.