bluuebunny/crossref_metadata_2025_split huggingface dataset:
Night work, chronotype and risk of endometrial cancer in the Screenwide case–control study
Authors: Costas Laura , Frias-Gomez Jon , Benavente Moreno Yolanda , Peremiquel-Trillas Paula , Carmona Álvaro , de Francisco Javier , Caño Victor , Paytubi Sonia , Pelegrina Beatriz , Martínez José Manuel , Pineda Marta , Brunet Joan , Vidal August , Matias-Guiu Xavier , Bosch Xavier , Ponce Jordi , Kogevinas Manolis , De Sanjosé Silvia , Alemany Laia 
Published: February 2022

BackgroundCircadian disruption caused by night work has been associated with hormonal-related cancers such as breast and prostate cancer. Data on the role of circadian factors in the aetiology of endometrial cancer, an oestrogen-associated cancer, are scarce.MethodsWe examined the association between endometrial cancer and night shift work, chronotype (a characteristic correlating with preference for morning or evening activity) and sleep duration, in 180 incident cases and 218 hospital controls. Participants were interviewed face-to-face by trained interviewers to collect information on sociodemographic factors, familial, medical, occupational history (including work shifts), sleep duration and chronotype, and other lifestyle factors. We used logistic regression models adjusted for potential confounders to estimate ORs and 95% CIs.ResultsAfter adjustment by potential confounders, we found an inverse not statistically significant association between ever worked in night shifts and endometrial cancer (OR=0.64; 95% CI=0.35 to 1.16). Associations were irrespective of shift type (permanent or rotating nights) or duration of night work. We did not observe any statistically significant association between endometrial cancer and sleep duration, while inconsistent patterns were observed for chronotype and endometrial cancer risk.ConclusionsThese data do not support a role for circadian disruption in the carcinogenesis of endometrial cancer.
Integrating Heterogeneous Ontologies in Asian Languages Through Compact Genetic Algorithm with Annealing Re-sample Inheritance Mechanism
Authors: Xue Xingsi , Liu Wenyu 
Published: February 2022

An ontology is a state-of-the-art knowledge modeling technique in the natural language domain, which has been widely used to overcome the linguistic barriers in Asian and European countries’ intelligent applications. However, due to the different knowledge backgrounds of ontology developers, the entities in the ontologies could be defined in different ways, which hamper the communications among the intelligent applications built on them. How to find the semantic relationships among the entities that are lexicalized in different languages is called the Cross-lingual Ontology Matching problem (COM), which is a challenge problem in the ontology matching domain. To face this challenge, being inspired by the success of the Genetic Algorithm (GA) in the ontology matching domain, this work proposes a Compact GA with Annealing Re-sample Inheritance mechanism (CGA-ARI) to efficiently address the COM problem. In particular, a Cross-lingual Similarity Metric (CSM) is presented to distinguish two cross-lingual entities, a discrete optimal model is built to define the COM problem, and the compact encoding mechanism and the Annealing Re-sample Inheritance mechanism (ARI) are introduced to improve CGA’s searching performance. The experiment uses Multifarm track to test CGA-ARI’s performance, which includes 45 ontology pairs in different languages. The experimental results show that CGA-ARI is able to significantly improve the performance of GA and CGA and determine better alignments than state-of-the-art ontology matching systems.
Turbulent Heat Flux, Downward Longwave Radiation, and Large-Scale Atmospheric Circulation Associated with Wintertime Barents–Kara Sea Extreme Sea Ice Loss Events
Authors: Zheng Cheng , Ting Mingfang , Wu Yutian , Kurtz Nathan , Orbe Clara , Alexander Patrick , Seager Richard , Tedesco Marco 
Published: February 2022

AbstractWe investigate wintertime extreme sea ice loss events on synoptic to subseasonal time scales over the Barents–Kara Sea, where the largest sea ice variability is located. Consistent with previous studies, extreme sea ice loss events are associated with moisture intrusions over the Barents–Kara Sea, which are driven by the large-scale atmospheric circulation. In addition to the role of downward longwave radiation associated with moisture intrusions, which is emphasized by previous studies, our analysis shows that strong turbulent heat fluxes are associated with extreme sea ice melting events, with both turbulent sensible and latent heat fluxes contributing, although turbulent sensible heat fluxes dominate. Our analysis also shows that these events are connected to tropical convective anomalies. A dipole pattern of convective anomalies with enhanced convection over the Maritime Continent and suppressed convection over the central to eastern Pacific is consistently detected about 6–10 days prior to extreme sea ice loss events. This pattern is associated with either the Madden–Julian oscillation (MJO) or El Niño–Southern Oscillation (ENSO). Composites show that extreme sea ice loss events are connected to tropical convection via Rossby wave propagation in the midlatitudes. However, tropical convective anomalies alone are not sufficient to trigger extreme sea ice loss events, suggesting that extratropical variability likely modulates the connection between tropical convection and extreme sea ice loss events.
Subseasonal Temporal Clustering of Extreme Precipitation in the Northern Hemisphere: Regionalization and Physical Drivers
Authors: Tuel Alexandre , Martius Olivia 
Published: February 2022

Abstract
Temporal clustering of extreme precipitation (TCEP) at subseasonal time scales often results in major impacts on humans and ecosystems. Assessment and mitigation of the risk of such events requires characterization of their weather/climate drivers and their spatial dependence. Here, we introduce a regionalization method that identifies coherent regions in which the likelihood of subseasonal TCEP exhibits similar dependence to large-scale dynamics. We apply this method to each season in the Northern Hemisphere using ERA5 reanalysis data. The analysis yields spatially coherent regions, primarily at high latitudes and along the eastern margins of ocean basins. We analyze the large-scale and synoptic conditions associated with TCEP in several of the identified regions, in light of three key ingredients: lifting, moisture availability, and persistence in synoptic conditions. We find that TCEP is often directly related to distinct cyclone and blocking frequency anomalies and upper-level wave patterns. Blocking and associated Rossby wave breaking are particularly relevant at high latitudes and midlatitudes. At upper levels, meridional wave patterns dominate; however, in western Europe and parts of North America, TCEP is sometimes associated with zonally extended wave patterns. The flow features associated with TCEP in the eastern Pacific and eastern Atlantic Oceans exhibit similarities. For some regions, moisture flux anomalies are present during clustering episodes whereas in others forced lifting alone is sufficient to trigger heavy precipitation. Our results provide new information on the dynamics and spatial dependence of TCEP that may be relevant for the subseasonal prediction of clustering episodes.
Maintenance of the Basin-Dependent Quasi-Biweekly Mode in the Indian Ocean during Summer
Authors: Li Kuiping , He Qin , Yang Yang , Li Zhi , Yu Weidong 
Published: February 2022

AbstractThe atmospheric 10–20-day quasi-biweekly mode (QBWM) significantly modulates the active–break spells of the South Asian monsoon. Current knowledge, however, is limited concerning the diversity of the QBWM in the Indian Ocean (IO). Based on extended empirical orthogonal function analysis, two dominant summer modes are constructed in the IO. The first mode (QBWM1) generally depicts IO basin-dependent variability, while the second mode (QBWM2) exhibits a close relationship with the northwestern Pacific. QBWM1 initiates in the equatorial western IO and propagates toward the eastern IO along the equator. Two Rossby wave cells evolve in the off-equatorial eastern IO when convection encounters the Maritime Continent, and subsequently the northern cell develops and moves westward in the South Asian monsoon region. In contrast, QBWM2 originates in the northwestern Pacific and passes westward across the South Asian monsoon region in the form of convectively coupled Rossby waves. The maintenance mechanism of the peculiar IO basin-dependent QBWM1 is understood in terms of moisture dynamics. Significant moisture anomalies are found to precondition convection initiation in the western IO and subsequent eastward movement along the equator. Afterward, two off-equatorial moisture centers are generated in the double Rossby wave cells along with convection dissipation in the eastern IO, and the moisture anomalies are delivered from the southern cell toward the convection initiation area in the western IO via a moisture conveyor belt without coupling with convection. Moisture budget analysis indicates that the horizontal moisture advection associated with QBWM1 is regulated by the mean clockwise circulation in the tropical IO.
The Diversity of ENSO Evolution during the Typical Decaying Periods Determined by an ENSO Developing Mode
Authors: Yang Xianke , Huang Ping 
Published: February 2022

AbstractThe evolution of El Niño–Southern Oscillation (ENSO) is an essential predictor for global climate anomalies, but ENSO’s effect is regulated by the considerable diversity of post-ENSO evolution. This study identified that there coexist a decaying mode and a developing mode of ENSO in the ENSO decaying periods (from September to August) through empirical orthogonal function (EOF) and extended EOF analyses. The diversity of ENSO evolution during the decaying periods is actually determined by the ENSO developing mode, which is unsteady and susceptible to other signals, whereas the ENSO decaying mode is quite steady. Using multiple datasets, segmented datasets, and sea surface temperature anomalies (SSTAs)-residual EOF, the key signals related to the diversity of ENSO evolution are identified and verified in the South Atlantic and equatorial South Pacific. Based on the decaying and developing modes, a prediction model was constructed to predict the boreal summer Niño-3 index. The ENSO developing mode, explaining very small variance, plays a decisive role in determining the prediction of the summer SSTAs in the Pacific. The forecasting skill of summer ENSO can also be greatly improved when continuous SSTAs and interbasin interactions in the whole tropics are considered. This prediction result indicates that identified precursory disturbance signals and interbasin interactions for ENSO development are crucial for boreal summer ENSO prediction.Significance StatementENSO often shows great diversity in the temporal evolution during post-ENSO periods, thus limiting the predictability of tropical SSTAs in the following spring and summer. Identifying the signal impacting the diversity of ENSO is crucial for predicting ENSO. Here, we offer a new understanding of the essence of ENSO’s temporal diversity from the perspective of interbasin interactions. We identified that the ENSO typical decaying period contains a steady decaying mode and an unsteady developing mode simultaneously, and the developing mode induces the great diversity in ENSO’s evolution during post-ENSO periods. Two signals located in the South Atlantic and equatorial South Pacific are recognized as the main sources influencing the diversity of ENSO evolution.
Impact of Combined Assimilation of Wind Profiler and Doppler Radar Data on a Convective-Scale Cycling Forecasting System
Authors: Wang Cheng , Chen Min , Chen Yaodeng 
Published: February 2022

Abstract
The two types of wind observations, profiler and radar radial velocity, have been successfully assimilated into numerical weather prediction (NWP) systems. However, the added value of profiler data, especially from a densely deployed profiler network, is unknown when assimilated together with Doppler radar radial velocity. In this article, two combined assimilation strategies of profilers along with radar radial winds are compared within a convective-scale data assimilation (DA) framework. In strategy I, the profiler data are assimilated with conventional observations to generate an intermediate analysis that acts as a prior for radar data assimilation. In strategy II, both profiler and radar data are considered as storm-scale and assimilated within the same pass. Single- and dual-observation assimilation experiments indicate that for strategy I, the profiler DA improvement can be partly canceled by the potentially negative impact of the assimilation of single-radar radial velocity afterward, particularly when the radial wind is nearly orthogonal to the prevailing wind. For strategy II, important complements are provided when profilers are assimilated within the same pass along with radial winds. The diagnostics for a low-level jet case demonstrate that both strategies facilitate improved analyses and forecasts. But strategy II may bring more moderate analysis increments, which indicate mutual constraints of the profiler and radial winds when assimilated within the same pass. The results obtained in 1-month, retrospective cycling experiments also show that the strategy II outperforms the strategy I with slightly better wind and precipitation forecasts.

Significance Statement
Due to the high spatial–temporal wind information provided by profiler and radar radial velocity measurements, their combined assimilation would be expected to improve wind analysis. To fully utilize dense profiler data and radar radial wind in future operational applications, this study proposes a suitable assimilation strategy. If the profilers are defined as synoptic-scale observations, the profiler and Doppler radar data must be assimilated in different passes to adopt different length and variance scales. Whereas it is more reasonable to use a small background correlation length consistent with the radial velocity and, therefore, assimilate in the same pass if the profiler data are considered to better sample storm-scale features. Single- and dual-observation experiments indicate that profiler data provide important complements, while the assimilation of single-radar radial wind may yield analyzed wind results that do not depict the ground truth. A low-level jet case and a 1-month impact study further show that the combined assimilation strategy of assimilating both profiler and Doppler radar using smaller background correlation lengths enhances the analysis and forecasting of wind, resulting in more accurate accumulated precipitation forecasts.
Establishment of risk quality control charts based on risk management strategies
Authors: Zeng Yuping , Peng Shiyun , Meng Liye , Huang Hengjian 
Published: February 2022

Background Risk management strategies have been proposed for applications in clinical laboratories to reduce patient risks; however, effective and visual risk-monitoring tools are currently lacking in medical laboratories. In this study, we constructed a risk quality control (QC) chart based on risk management strategies. Methods We calculated the risk levels of QC materials based on Bayes' theorem by combining the total allowable error, QC results, and the maximum number of unacceptable errors in the laboratory. Then, we constructed a risk QC chart by presenting the Z values and corresponding risk levels of QC materials simultaneously. Finally, we evaluated the risk-monitoring capabilities of the risk QC charts by simulating different long-term errors in the laboratory. Results The risk levels of QC materials increased as the QC results moved further away from the set mean. Larger sigma values led to fewer risks obtained for the same QC results. The constructed risk QC charts intuitively showed specific risk levels and could warn lab staff out-of-control, without the need for QC rules to make judgments. The risk levels of erroneous results differed for items with different sigma performance. Conclusions Risk-based QC charts allowed visualization of the QC results and specific risk levels simultaneously, providing more intuitive results than those obtained from traditional QC charts.
Association between amyloid-beta deposition and cortical thickness in dementia with Lewy bodies
Authors: Chin Kai Sin , Gajamange Sanuji , Desmond Patricia M , Villemagne Victor L , Rowe Christopher C , Churilov Leonid , Yassi Nawaf , Watson Rosie 
Published: February 2022

Objective: Amyloid-beta often co-exists in dementia with Lewy bodies, but its clinical relevance in dementia with Lewy bodies remains unclear. This study aimed to investigate the clinical and imaging correlates of amyloid-beta deposition in dementia with Lewy bodies, particularly its relationship with cortical thickness in Alzheimer’s disease–prone regions and hippocampal volume. Methods: Twenty-four participants with probable dementia with Lewy bodies underwent high-resolution magnetic resonance imaging and amyloid-beta positron emission tomography imaging using the radiotracer 18F-NAV4694. Amyloid-beta deposition was quantified and reported using the Centiloid method. Results: Amyloid-beta positivity, defined as Centiloid > 50, was present in 45.8% of dementia with Lewy bodies participants. There were no statistically significant differences in clinical characteristics between Aβ+ and Aβ− dementia with Lewy bodies. Compared with the Aβ− group, Aβ+ dementia with Lewy bodies exhibited greater global cortical thinning as well as in the Alzheimer’s disease–prone region of interest, adjusted for age, sex and years of education. A mean cortical thickness of 5.12 mm across a combined meta-region of interest has a sensitivity of 88.9% and specificity of 90.0% in discriminating Aβ+ from Aβ− dementia with Lewy bodies. Hippocampal volume was not different between groups. Conclusion: Early structural changes in cortical thickness, but not hippocampal volume, were observed in dementia with Lewy bodies with significant amyloid-beta burden. This may represent an early Alzheimer’s disease–related neurodegenerative process.
BMI and Disordered Eating in Black College Women: The Potential Mediating Role of Body Appreciation and Moderating Role of Ethnic Identity
Authors: Boutté Rachel L. , Burnette C. Blair , Mazzeo Suzanne E. 
Published: February 2022

Multiple studies indicate Black American women have disproportionately higher rates of obesity compared with other groups in United States. Although body image is associated with obesity, this relation is understudied among Black women. The purpose of the current study was to (1) examine the relations among body appreciation, body dissatisfaction and disordered eating; (2) assess body appreciation as a mediator of the relation between body mass index (BMI) and disordered eating, and (3) explore ethnic identity as a moderator in this association. Participants were 191 Black women recruited from a mid-Atlantic university. Participants’ mean age was 19.16 years ( SD = 1.95). Body appreciation partially mediated the relation between BMI and disordered eating behaviors and attitudes, such that women with higher BMIs reported lower body appreciation, which was associated with greater disordered eating symptoms. Ethnic identity was not a significant moderator of the association between BMI and body appreciation. Results support screening Black women with higher BMIs for disordered eating symptomatology and suggest it might be helpful to include body appreciation in interventions for Black women.
An examination and proposed definitions of family members’ grief prior to the death of individuals with a life-limiting illness: A systematic review
Authors: Singer Jonathan , Roberts Kailey E , McLean Elisabeth , Fadalla Carol , Coats Taylor , Rogers Madeline , Wilson Madeline K , Godwin Kendra , Lichtenthal Wendy G 
Published: February 2022

Background: Research has extensively examined family members’ grief prior to the death of an individual with a life-limiting illness but several inconsistencies in its conceptualization of related constructs, yet significant conceptualization issues exist. Aim: This study aimed to identify and characterize studies published on family members grief before the death of an individual with a life-limiting illness, and propose definitions based on past studies in order to initiate conceptual clarity. Design: A mixed-method systematic review utilized six databases and was last conducted July 10, 2021. The search strategy was developed using Medical Subject Headings. This study was prospectively registered on PROSPERO (CRD42020166254). Results: One hundred thirty-four full-text articles met inclusion criteria. This review revealed across studies a wide variation in terminology, conceptualization, and characterization of grief before the death. More than 18 terms and 30 definitions have been used. In many cases, the same term (e.g. anticipatory grief) was defined differently across studies. Conclusions: We found grief occurring before the death of a person with a life-limiting illness, which we termed pre-death grief, is comprised of two distinct constructs: anticipatory grief and illness-related grief. Anticipatory grief is future-oriented and is characterized by separation distress and worry about a future without the person with the life-limiting illness being physically present. Illness-related grief is present-oriented and is characterized by grief over current and ongoing losses experienced during the illness trajectory. These definitions provide the field with uniform constructs to advance the study of grief before the death of an individual with a life-limiting illness.
The tumor immune-microenvironment in gastric cancer
Authors: Fang Fujin , Zhang Tiantian , Li Qiong , Chen Xiaowei , Jiang Fei , Shen Xiaobing 
Published: February 2022

Aims and Background: The tumor microenvironment significantly influences malignant behavior and progression. Many components are involved in the tumor microenvironment, including extracellular matrix, stromal cells, immune and inflammatory cells, as well as cytokines that promote tumor development with complex interactions through the exchange of molecular information. It is now known that tumor immune escape may be influenced by the tumor microenvironment. The aim of this work is to conduct a review of the tumor immune-microenvironment in gastric cancer. Methods: We review the current knowledge of several immune cells involved in the gastric tumor microenvironment. In addition, a brief description of immunotherapy strategies for gastric cancer is also reviewed. Conclusions: Among immune cell populations, lymphocytes, macrophages, dendritic cells and myeloid-derived suppressor cells are revealed to make the difference in promoting or suppressing gastric tumorigenesis, either directly or indirectly, via regulating the immune responses. Understanding these interactions in detail within the tumor immune-microenvironment will contribute to unraveling new therapeutic targets.