bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abstract B002: ALK signaling primes the DNA damage response sensitizing ALK-driven neuroblastoma to therapeutic ATR inhibition
Authors: Palmer Ruth H. , Hallberg Bengt , Borenäs Marcus , Umapathy Ganesh , Lind Dan E. , Lai Wei-Yun , Guan Jikui , Johansson Joel , Aniszewska Agata 
Published: January 2024

Abstract
High-risk neuroblastoma (NB) currently presents significant clinical challenges. MYCN and ALK, which are often involved in high-risk NB, lead to increased replication stress in cancer cells, providing options for therapeutic exploitation. We previously identified an ATR/ALK inhibitor combination as an effective therapeutic approach in two independent genetically modified mouse NB models. Here, we identify an underlying molecular mechanism, in which ALK signaling leads to phosphorylation of ATR and CHK1, supporting an effective DNA damage response. The importance of ALK inhibition is supported by mouse data, in which monotreatment with ATRi resulted in a robust initial response, but subsequent relapse, in contrast to a 14-day ALKi/ATRi combination treatment that resulted in robust and sustained responses. Finally, we show that the remarkable response to the 14-day combined ATR/ALK inhibition protocol reflects a robust differentiation response in the tumor, reprogramming tumor cells to a neuronal/Schwann cell lineage identity. Our results identify a unique ability of ATR inhibition to trigger neuroblastoma differentiation and underscore the importance of further exploring combined ALK/ATR inhibition in NB, particularly in high-risk patient groups with oncogene-induced replication stress.
Citation Format: Ruth H. Palmer, Bengt Hallberg, Marcus Borenäs, Ganesh Umapathy, Dan E. Lind, Wei-Yun Lai, Jikui Guan, Joel Johansson, Agata Aniszewska. ALK signaling primes the DNA damage response sensitizing ALK-driven neuroblastoma to therapeutic ATR inhibition [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: DNA Damage Repair: From Basic Science to Future Clinical Application; 2024 Jan 9-11; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2024;84(1 Suppl):Abstract nr B002.
Reykjavik Up Close: Reagan and Gorbachev, October 1986 and After
Authors: Simons Thomas W. 
Published: January 2024

Abstract
A veteran U.S. diplomat, who is now one of the last living participants in the U.S.-Soviet summit meeting at Reykjavik in October 1986, traces the genesis, nature, and aftermath of that summit. He recounts changes in U.S.-Soviet relations during the first several years of the Reagan administration, including important events such as the 1983 Pentecostalist negotiations, the shootdown of a South Korean passenger airliner by Soviet air defense forces, and the meeting between Ronald Reagan and Mikhail Gorbachev in Geneva in November 1985. Even though scholars in retrospect have looked on the Reykjavik summit as a turning point, it began as a failure. Two leaders, who became exhausted as the proceedings wore on, engaged in a momentous exchange on nuclear elimination but then doubled down on incompatible positions regarding strategic ballistic missile defense (BMD). Reagan sought a “personal favor,” as he had with Gorbachev's predecessors three years earlier regarding the Pentecostals, whereas Gorbachev pushed for strict limits on BMD as a matter of “principle.” Both sides then scrambled to salvage the future, in an interpretive effort, centered on the leaders’ personal relationship, that ultimately yielded today's favorable view of Reykjavik's place in history.
Aridification and Its Impacts on Terrestrial Hydrology and Ecosystems over a Comprehensive Transition Zone in China
Authors: Li Zhuoyi , Yang Qing , Ma Zhuguo , Wu Peili , Duan Yawen , Li Mingxing , Zheng Ziyan 
Published: January 2024

Abstract
In China, the topography, climate, ecology, hydrology, and human environment vary greatly from southeast to northwest, and a typical natural and social environmental transition zone (i.e., comprehensive transition zone) exists near the “Hu Huanyong line,” which is a famous demographic dividing line in China, known as the Hu zone. Dry and wet climate changes in the Hu zone can have a significant impact on terrestrial ecosystems and hydrological conditions, ultimately affecting human–land relations. However, there is still a lack of clear understanding of environmental changes in the context of climate change in the Hu zone. Here, a quantitative analysis of climate change and its impacts on terrestrial hydrology and ecosystems from 1951 to 2020 is presented. The results showed that there exists a significant drying trend in the Hu zone and a dramatic decrease in terrestrial water storage (TWS), indicating that the environment has become worse. Conversely, from the perspective of significant greening, the environment has improved. This contradiction is mainly due to climate change dominating the depletion of TWS, while the increase in vegetation greenness is more driven by human activities including agricultural management and ecological restoration, offsetting to some extent the negative impact of water scarcity on vegetation growth.

Significance Statement
The Hu zone is a transition zone between southeast and northwest China, which is a sensitive area under climate change as well as key region for coordinated development. The purpose of this study is to reveal the long-term climate change in the Hu zone and its impacts on hydrology and ecology. Our results indicate a significant drying trend in this zone over the last 70 years, which led to a substantial reduction in water storage. However, the vegetation coverage increased due to human activities. This study provides guidance for agricultural structure adjustment and ecological protection in transition zones. Future research should focus more on the assessment and risk management of dry/wet changes in climate transition areas around the world.
Estimating Time-Dependent Structures in a Multivariate Causality for Land–Atmosphere Interactions
Authors: Zhou Feihong , Hagan Daniel Fiifi Tawia , Wang Guojie , Liang X. San , Li Shijie , Shao Yuhao , Yeboah Emmanuel , Wei Xikun 
Published: January 2024

Abstract
The land surface and atmosphere interaction forms an integral part of the climate system. However, this intricate relationship involves many complicated interactions and feedback effects between multiple variables. As a result, relying solely on traditional linear regression analysis and correlation analysis to distinguish between multivariate complex “driver–response” relations can be challenging, since they do not have the needed asymmetry to establish causality. The Liang–Kleeman (LK) information flow theory provides a strict nonparametric causality measurement for identifying the causality between any given time series, and its recent extension from bivariate to multivariate form provides a powerful tool for causal inference in complex multivariate systems. However, the multivariate LK information flow also assumes stationarity in time and requires a sufficiently long time series to ensure statistical sufficiency. To remedy this challenge, we rely on the square-root Kalman filter to estimate the time-varying form of the multivariate LK information flow causality. The results from theoretical and real-world applications show that the new algorithm provides a valuable tool for characterizing time-varying causal relationships in land–atmosphere interactions, even when the time series are short and highly correlated.

Significance Statement
Causality in land–atmosphere interactions is generally characterized by seasonal and intraseasonal changes that are usually not captured with commonly used approaches, because most approaches assume the time series are stationary. In this study, we extend the recently proposed multivariate Liang–Kleeman information flow causality (MtvLK) to handle nonstationary systems such as those in land–atmosphere interactions. By considering nonstationarity, we aim to unravel time-varying causal structures that are usually masked out in commonly used methods. Validating the MtvLK with synthetic models showed that the MtvLK is able to obtain the expected causal structures. Furthermore, real-world applications reveal novel findings of the time-varying causal structures between soil moisture, vapor pressure deficit, and the gross primary product.
Patterns and Trend Analysis of Rain-on-Snow Events using Passive Microwave Satellite Data over the Canadian Arctic Archipelago Since 1987
Authors: Sasseville Vincent , Langlois Alexandre , Brucker Ludovic , Johnson Cheryl Ann 
Published: January 2024

Abstract
Climate change has a profound effect on Arctic meteorology extreme events, such as rain-on-snow (ROS), which affects surface state variable spatial and temporal variability. Passive microwave satellite images can help detect such events in polar regions where local meteorological and snow information is scarce. In this study, we use a detection algorithm using high-resolution passive microwave data to monitor spatial and temporal variability of ROS over the Canadian Arctic Archipelago from 1987 to 2019. The method is validated using data from several meteorological stations and atmospheric corrections have been applied to the passive microwave dataset. Our approach to detect ROS is based on two methods: 1) over a fixed time period (i.e., 1 November–31 May) throughout the study period and 2) using an a priori detection for snow presence before applying our ROS algorithm (i.e., length of studied winter varies yearly). Event occurrence is analyzed for each winter and separated by island groups of the Canadian Arctic Archipelago. Results show an increase in absolute ROS occurrence, mainly along the coasts, although no statistically significant trends are observed.

Significance Statement
Rain-on-snow (ROS) is known to have significant consequences on vegetation and fauna, especially widespread events. This study aimed to use a recent high-resolution dataset of passive microwave observations to investigate spatial and temporal trends in ROS occurrence in the Arctic. Results show that a global increase in event occurrence can be observed across the arctic.
Comparison of Clustering Approaches in a Multimodel Ensemble for U.S. East Coast Cold Season Extratropical Cyclones
Authors: Kiel Benjamin M. , Colle Brian A. 
Published: January 2024

Abstract
Several clustering approaches are evaluated for 1–9-day forecasts using a multimodel ensemble that includes the GEFS, ECMWF, and Canadian ensembles. Six clustering algorithms and three clustering spaces are evaluated using mean sea level pressure (MSLP) and 12-h accumulated precipitation (APCP) for cool-season extratropical cyclones across the Northeast United States. Using the MSLP cluster membership to obtain the APCP clusters is also evaluated, along with applying clustering determined at one lead time to cluster forecasts at a different lead time. Five scenarios from each clustering algorithm are evaluated using displacement and intensity/amount errors from the scenario nearest to the MSLP and 12-h APCP analyses in the NCEP GFS and ERA5, respectively. Most clustering strategies yield similar improvements over the full ensemble mean and are similar in probabilistic skill except that 1) intensity displacement space gives lower MSLP displacement and intensity errors; and 2) Euclidean space and agglomerative hierarchical clustering, when using either full or average linkage, struggle to produce reasonably sized clusters. Applying clusters derived from MSLP to 12-h APCP forecasts is not as skillful as clustering by 12-h APCP directly, especially if several members contain little precipitation. Use of the same cluster membership for one lead time to cluster the forecast at another lead time is less skillful than clustering independently at each forecast lead time. Finally, the number of members within each cluster does not necessarily correspond with the best forecast, especially at the longer lead times, when the probability of the smallest cluster being the best scenario was usually underestimated.

Significance Statement
Numerical weather prediction ensembles are widely used, but more postprocessing tools are necessary to help forecasters interpret and communicate the possible outcomes. This study evaluates various clustering approaches, combining a large number of model forecasts with similar attributes together into a small number of scenarios. The 1–9-day forecasts of both sea level pressure and 12-h precipitation are used to evaluate the clustering approaches for a large number of U.S. East Coast winter cyclones, which is an important forecast problem for this region.
First-contact patients with a community mental health service in rural Greece: A 3-year prospective study of treatment attendance and its co-relations
Authors: Grammeniati Aikaterini , Mantziou Alexandra , Peritogiannis Vaios 
Published: January 2024

Background: Treatment continuation is essential for the optimal management of patients with mental disorders in the community, but treatment and outcome are often undermined by the high rates of service disengagement and treatment non-adherence across all psychiatric diagnoses. The phenomenon may be even more relevant in rural settings. Aims: The aim of the present study was to explore attendance to treatment in first-contact patients in a community-based treatment setting in rural Greece and to explore the associations of treatment attendance with demographic and clinical factors. Method: Data were collected prospectively over a 3-year period, with 1-year follow-up interval. All first-contact cases with the Mobile Mental Health Unit of the prefectures of Ioannina and Thesprotia (MMHU I-T), Northwest Greece were considered, but only clinical cases were processed. Results: The sample size consisted of 446 patients, with a mean age 65.4 ± 18.8 years. The rate of 12-month attendance to mental health treatment was 13.5% (60 out of 446 patients). Treatment attendance was found to be correlated with younger age, the diagnosis of schizophrenia-spectrum disorder, and patients’ referral by other psychiatric services. First examination over the year 2019 had been significantly inversely associated with treatment engagement. Conclusion: Rates of subsequent attendance after initial assessment in a rural community mental healthcare setting were rather low in the present study. Several variables that have been previously associated with service engagement were found to be related in this study too, whereas other were not. Research on treatment engagement in rural treatment settings should be ongoing to reveal all associated factors.
Validity and reliability of linear encoder muscle power testing in persons with Parkinson's disease
Authors: Bonde-Jensen Frederik , Dalgas Ulrik , Hvid Lars Grøndahl , Langeskov-Christensen Martin 
Published: January 2024

Objective To investigate the construct validity ON medication and the reliability both ON and OFF medication of linear encoder muscle power testing in persons with Parkinson's disease (pwPD). Design A study using baseline data from one randomized controlled trial (study 1) and one cohort study (study 2). Setting University exercise lab. Participants Study 1: 35 healthy controls and 70 pwPD. Study 2: 20 pwPD. Intervention Study 1: baseline data. Study 2: 4 chair rise tests (2 ON and 2 OFF medication), in a randomized order, separated by 4 to 16 days. Main measures Linear encoder data were collected from a chair rise test. Known groups validity and convergent validity (i.e., construct validity) were assessed by comparing peak power between pwPD and healthy controls and associations between peak power and functional performance (i.e., 6-Min Walk Test, Timed Up and Go Test, Six-Spot Step Test), respectively. Reliability was assessed as day-to-day variation and by intraclass correlation coefficients. Results Peak power was comparable between pwPD and healthy controls (−7.2%, p = 0.17), but lower in moderately impaired pwPD compared to mildly impaired pwPD (−27%, p < 0.01) and healthy controls (−23%, p < 0.01). Moderate to strong associations were observed between peak power and functional performance (r2 = 0.44–0.51). Day-to-day variation ON and OFF medication were 1.0 and 1.3 W/kg, respectively, while intraclass correlation coefficients were 0.95 (0.87;0.98) and 0.93 (0.82;0.97), respectively. Conclusion Linear encoder muscle power testing shows inconsistent known groups validity, acceptable convergent validity ON medication, and excellent day-to-day reliability ON and OFF medication in pwPD.
How to manage type 2 curve dilemma in dynamic contrast-enhanced magnetic resonance imaging of the breast: diffusion-weighted imaging or early phase enhancement kinetics?
Authors: Ulu Öztürk Funda , Tezcan Şehnaz , Uslu Nihal 
Published: January 2024

Background Type 2 time-intensity curves can indicate both malignant and benign breast lesions in dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). Purpose To investigate whether diffusion-weighted imaging (DWI) or early phase kinetics of DCE-MRI is practical to discriminate breast masses that depict type 2 curve in DCE-MRI. Material and Methods We retrospectively included 107 lesions in 97 patients with type 2 curves in DCE-MRI. Morphological characteristics, early phase dynamic parameters on DCE-MRI, and apparent diffusion coefficient (ADC) values on DWI were evaluated. Diagnostic thresholds of ADC and early phase maximum enhancement ratio (EPMER) to distinguish between benign and malignant masses were calculated. Strongest predictors of malignancy were determined to build the most effective diagnostic model. Results DWI, EPMER, and all morphological features were found statistically significant to discriminate malignancy ( P <0.05). The thresholds of ADC and EPMER were assigned as 1.0 ×10−3 mm2/s and 72%, respectively. The sensitivity and specificity were 80% and 97% for ADC, and 93% and 60% for EPMER, respectively. Two models were established. Model 1 comprised ADC and the lesion margin. Model 2 consisted of ADC, margin, and EPMER with a high specificity (99%) and positive predictive value (97%). Conclusion When combined with DWI, early phase wash-in data provide diagnostic improvement of breast masses presenting type 2 curve in the late phase of DCE-MRI, especially for specificity. Future studies are required to support our findings for the need of a cross-validation.
Upside-Down Gore Excluder as an Endoprosthesis for Aortoiliac Aneurysm Exclusion: A Retrospective Multicenter Study
Authors: ‘t Mannetje Yannick W. , Reijnen Michel M.P.J. , Zeebregts Clark J. , Akkersdijk George P. , Derom Alex , Dolmans Dennis E.J.G.J. , Jahrome Ommid K , de Jong Sylvia C. , ‘t Mannetje Yannick W. , Meekel Jorn P. , Reijnen Michel M.P.J. , Rijbroek Bram , Schlejen Peter M. , van der Steenhoven Timothy J. , Tielliu Ignace F.J. , Tournoij Erik , Vierhout Bastiaan P. , Wikkeling Otmar R.M. , Witte Marianne E. , Yeung Kak K. , Centrum Zaans Medisch , Zeebregts Clark J. 
Published: January 2024

Objective: The upside-down configuration of a Gore Excluder contralateral leg endoprosthesis has been used to overcome diameter differences in the endovascular treatment of aortoiliac aneurysms. Our goal was not to describe the technique but to study the applicability and safety. Material and methods: Patients were retrospectively enrolled. The indication and details of the procedure were at the discretion of the treating physicians. A case report form was completed including baseline characteristics, indication for treatment, procedural data, and outcomes during follow-up. Results: A total of 31 subjects were enrolled with a range of indications, including 3 patients treated in the emergency setting (9.7%). In 64.5% (n=20), it was a primary intervention for a common iliac aneurysm (n=10), internal iliac aneurysm (n=4), or abdominal aortic aneurysm (n=6). In 11 subjects (35.5%), treatment was performed after previous aortoiliac interventions, including anastomotic iliac artery aneurysm (n=5), type III endoleak (n=3), and endograft thrombus (n=3). Median follow-up was 13 months (range=1-142 months). During follow-up, 2 patients required an upside-down contralateral leg–related secondary intervention, one for an occlusion and another for a type Ia endoleak. There was no type Ib or III endoleak, and no migration, kinking/stenosis, or conversion to open repair was observed. The aneurysm-related mortality was 3.3% (n=1). Conclusion: An upside-down contralateral leg is a valuable technique that can be used to achieve adequate aneurysm exclusion or resolve complications. It is associated with a limited number of complications. Clinical impact This article studies the use of an upside-down iliac endograft. We describe a wide range of indications in which this previously published technique has been applied. In elective and acute settings and as primary and revision intervention an upside-down iliac endograft was performed successfully. Furthermore, follow-up data is presented showing the effectiveness of the technique. Knowledge of this procedure is a valuable addition to the skillset of every interventionalist.
MicroRNA-125b Is a Potential Predictor of Surgical Outcomes in Chronic Rhinosinusitis with Nasal Polyps
Authors: Gata Anda , Leucuta Daniel-Corneliu , Budisan Liviuta , Raduly Lajos , Trombitas Veronica E. , Berindan-Neagoe Ioana , Albu Silviu 
Published: January 2024

Background Despite advances in surgical techniques, recurrence rates after endoscopic sinus surgery (ESS) for chronic rhinosinusitis with nasal polyps (CRSwNP) remain high and difficult to predict. Objective This study aimed to evaluate the potential role of microRNA 125b (miR-125b) in predicting disease evolution following ESS. Methods We conducted a prospective study including patients undergoing first ESS for CRSwNP in our department between January 2020 and November 2021. We determined miR-125b levels from nasal polyps and pursued a standardized follow-up for at least 18 months for each patient. Results A total of 86 patients were included in the study. Higher postoperative endoscopy scores were associated with more severe disease at presentation on computed tomography scan, presence of concomitant asthma, and higher values of miR-125b. Even after multivariate repeated measures analysis and adjustments for confounders, miR-125b remained statistically significant. Moreover, miR-125 was the most important factor in predicting disease evolution at 18 months. Conclusion A clear, robust relation between nasal polyp control evaluated through objective measures and miR-125b values was observed. This finding indicates the potential role of miR-125b in predicting the course of the disease following ESS.