bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards a more robust non-invasive assessment of functional
connectivity
Authors: Westner Britta U. , Kujala Jan , Gross Joachim , Schoffelen Jan-Mathijs 
Published: March 2024

Abstract
Non-invasive evaluation of functional connectivity, based on source-reconstructed estimates of phase-difference-based metrics, is notoriously non-robust. This is due to a combination of factors, ranging from a misspecification of seed regions to suboptimal baseline assumptions, and residual signal leakage. In this work, we propose a new analysis scheme of source-level phase-difference-based connectivity, which is aimed at optimizing the detection of interacting brain regions. Our approach is based on the combined use of sensor subsampling and dual-source beamformer estimation of all-to-all connectivity on a prespecified dipolar grid. First, a pairwise two-dipole model, to account for reciprocal leakage in the estimation of the localized signals, allows for a usable approximation of the pairwise bias in connectivity due to residual leakage of “third party” noise. Secondly, using sensor array subsampling, the recreation of multiple connectivity maps using different subsets of sensors allows for the identification of consistent spatially localized peaks in the 6-dimensional connectivity maps, indicative of true brain region interactions. These steps are combined with the subtraction of null coherence estimates to obtain the final coherence maps. With extensive simulations, we compared different analysis schemes for their detection rate of connected dipoles, as a function of signal-to-noise ratio, phase difference, and connection strength. We demonstrate superiority of the proposed analysis scheme in comparison to single-dipole models, or an approach that discards the zero phase difference component of the connectivity. We conclude that the proposed pipeline allows for a more robust identification of functional connectivity in experimental data, opening up new possibilities to study brain networks with mechanistically inspired connectivity measures in cognition and in the clinic.
A “Nuclear Umbrella” for Ukraine? Precedents and Possibilities for Postwar European Security
Authors: Evangelista Matthew 
Published: March 2024

Abstract
Whatever the outcome of the Russo-Ukrainian War, in its wake Ukraine will need to choose a security policy to defend its sovereignty from future threats. Its choice holds implications for broader European security. Some observers advocate Ukraine becoming a member in the North Atlantic Treaty Organization (NATO), thereby gaining protection from the U.S. “nuclear umbrella.” Others doubt the effectiveness of “extended nuclear deterrence”—the threat of U.S. nuclear retaliation for attacks, including those carried out with conventional armed forces, on an ally's territory. But nuclear deterrence was never put to the test in Cold War Europe, and today extended nuclear deterrence is an unreliable and risky approach to Russian aggression. An examination of the role of nuclear deterrence during the 1961 Berlin Crisis demonstrates that Soviet military strategy against U.S. nuclear weapons posed the risk of escalation. In vulnerable NATO territories, such as the Estonian city of Narva, such a risk still exists. A Cold War–era alternative to nuclear deterrence offers the possibility of a non-nuclear defense for Ukraine. Proposals such as the “spider in the web” strategy draw on concepts of the security dilemma and non-offensive, confidence-building defense to provide for Ukrainian security in a Europe threatened by Russian expansion, without relying on the threat of nuclear war.
Foreign Intervention and Internal Displacement: Urban Politics in Postwar Beirut
Authors: Rizkallah Amanda 
Published: March 2024

Abstract
Uneven democratization is a common yet poorly understood legacy of civil war. In the aftermath of the Lebanese Civil War (1975–1990), wartime processes of displacement interacted with Syria's intervention to transform local postwar political orders. In Beirut's suburbs, the bonds built between armed actors and displaced populations created opportunities for displaced people to extract responsiveness from local institutions, despite their vulnerability. But the power of displaced populations in their host community hinges on the fate of the locally dominant armed actor. If the armed actor is an ally of the intervening power, it can maintain political control over its strongholds, marginalizing traditional local elites while empowering its core constituents, displaced people. By contrast, if an armed actor is repressed by the intervening power, the ensuing power vacuum creates an opportunity for pluralistic party politics to emerge. Traditional prewar elites reassert their role in local political life, empowering their core constituents, the prewar residents. Drawing on dozens of in-depth interviews with key informants in the suburbs of postwar Beirut, the findings show how displacement transformed localities in ways that transcend religious identity. Over 80,000 people have been displaced from southern Lebanon because of fighting since October 7, 2023. If Hezbollah provides services and security to these displaced persons, the current conflict will strengthen Hezbollah's grip on the south of Lebanon when the displaced populations return, or further consolidate its influence in those localities in south Lebanon where displaced populations settle.
Corruption and Trust
Authors: Školník Milan 
Published: March 2024

Abstract
Corruption and trust contrast one another. While corruption is selfish behavior manifested by the abuse of power for private purposes, trust expresses the human belief that other people are a part of their moral community and behave as they should. A number of studies have been written on the relationship between corruption and trust. This review article theoretically explains the effect of corruption on trust, takes into account other variables that may enter into this relationship, and summarizes the results to date in this area. Attention is also placed on what data individual studies used and what their weaknesses may be. The contribution of this article is that it distinguishes between perceptions and experiences of corruption and between interpersonal and political trust. Finally, this article suggests possible directions for further research.
Personal Meanings and Reality of Gendered Socialization in Pakistan
Authors: Khalid Asma 
Published: March 2024

Abstract
The socialization of young men can make a difference in social change in patriarchal societies such as Pakistan. This research applies Nancy Chodorow’s (1978) Object Relations Theory to analyze the learning of gender roles for young men. Key informants comprised 30 young men aged 18–30 from mainstream society and semi-structured interviews were carried out in Rawalpindi and Islamabad, Pakistan. The key research objectives were to explore young men’s ideas about socialization in Pakistani culture and how they learn the gender-specific roles. The results of this study reveal that from the age of 8 to 17, boys learn their gender roles and masculine standards. It argues that a cohesive and integrated approach is needed through community, parents, and school-based programs where young men can be socialized to contribute positively to a violence-free, risk-free, equitable society and innovative thinking is needed to socialize young men.
Reading John of Ephesus via Procopius of Caesarea?
Authors: de Wet Chris L. 
Published: March 2024

Abstract
The purpose of this article is to revisit the comparison between the accounts of the Justinianic plague of 541–750 CE, the first recorded pandemic of bubonic plague, by John of Ephesus and Procopius of Caesarea, as done by the scholar of Byzantine history, Anthony Kaldellis, in a 2007 publication. In the article, I critique some of Kaldellis’s main points of comparison, and then by approaching plague as a discourse (in the Foucaultian sense), I attempt to provide a more nuanced reading and comparison of the individual accounts, and of ancient plague discourse more generally.
Review of the rove beetles (Coleoptera: Staphylinidae) from the Pliocene of Willershausen, Germany
Authors: SHAW JOSH JENKINS , GEHLER ALEXANDER , KAULFUSS UWE 
Published: March 2024

The rove beetle fauna (Coleoptera: Staphylinidae) (excluding the subfamily Silphinae) of the Pliocene of Willershausen (Lower Saxony, North Germany) is reviewed based on the type and other material of previously described or reported taxa, as well as two new specimens. Six subfamilies are represented in the deposit, with two subfamilial assignments considered tentative: Aleocharinae?, Micropeplinae, Oxytelinae, Paederinae, Staphylininae? and Tachyporinae. †Pliosyntomium Korge, 1967 syn. nov. is placed as a junior synonym of Paederus Fabricius, 1775. The following new combination is established: †Paederus schmidti (Korge, 1967) comb. nov. All rove beetle fossils from Willershausen housed in the Collections of the Geoscience Museum, University of Göttingen.
Improved Diagnosis of Precipitation Type with LightGBM Machine Learning
Authors: Zhuang Haoyu (Richard) , Lehner Flavio , DeGaetano Arthur T. 
Published: March 2024

Abstract
Existing precipitation-type algorithms have difficulty discerning the occurrence of freezing rain and ice pellets. These inherent biases are not only problematic in operational forecasting but also complicate the development of model-based precipitation-type climatologies. To address these issues, this paper introduces a novel light gradient-boosting machine (LightGBM)-based machine learning precipitation-type algorithm that utilizes reanalysis and surface observations. By comparing it with the Bourgouin precipitation-type algorithm as a baseline, we demonstrate that our algorithm improves the critical success index (CSI) for all examined precipitation types. Moreover, when compared with the precipitation-type diagnosis in reanalysis, our algorithm exhibits increased F1 scores for snow, freezing rain, and ice pellets. Subsequently, we utilize the algorithm to compute a freezing-rain climatology over the eastern United States. The resulting climatology pattern aligns well with observations; however, a significant mean bias is observed. We interpret this bias to be influenced by both the algorithm itself and assumptions regarding precipitation processes, which include biases associated with freezing drizzle, precipitation occurrence, and regional synoptic weather patterns. To mitigate the overall bias, we propose increasing the precipitation cutoff from 0.04 to 0.25 mm h−1, as it better reflects the precision of precipitation observations. This adjustment yields a substantial reduction in the overall bias. Finally, given the strong performance of LightGBM in predicting mixed precipitation episodes, we anticipate that the algorithm can be effectively utilized in operational settings and for diagnosing precipitation types in climate model outputs.

Significance Statement
Freezing rain can have significant impacts on transportation and infrastructure, making accurate prediction of precipitation types crucial. In this study, we use a machine learning method known as LightGBM to predict precipitation types. We show that the new algorithm performs better than the existing methods for all precipitation types examined. Additionally, we compute a freezing-rain climatology over the eastern United States. Although the resulting climatology pattern corresponds well to observations, the algorithm overpredicts freezing-rain occurrence. We argue that this bias can be substantially reduced by increasing the precipitation cutoff from 0.04 to 0.25 mm h−1. Overall, this work highlights the potential of the LightGBM algorithm for both weather forecasting and diagnosing precipitation types in climate models.
Multiscale Features and Triggering Mechanisms of the Warm-Sector Heavy Rainfall Accompanied by Warm Shear Along the Yangtze–Huaihe Coastal Regions
Authors: Yu Yiping , Zhang Ling , Song Liuxian , Li Wei , Zhou Lu , Ouyang Lin 
Published: March 2024

Abstract
Using high-resolution hourly precipitation data and ERA5 reanalysis data, this study employs the K-means method to categorize 32 cases of warm-sector heavy rainfall events accompanied by a warm-type shear line (WSWR) along the Yangtze–Huaihe coastal region (YHCR) from April to September during 2010–17. Considering the synoptic system features of WSWR by K means, the result reveals 15 southwest type (SW-type) and 17 south-biased type (S-type) WSWR events. Composite analysis illuminates the distinct dynamic and thermodynamic features of each type. For the SW-type WSWR, the maximum value of water vapor is concentrated around 850 hPa in the lower troposphere. The YHCR is located at the intersection of the exit area of the 850-hPa synoptic low-level jet (LLJ) and the entrance area of the 600-hPa jet. The suction effects, combined with the location of YHCR on the left side of the boundary layer jet (BLJ), facilitate the triggering of local convection. Conversely, the S-type WSWR shows peak water vapor in the boundary layer. Before the onset of WSWR events, a warm, humid tongue indicated by pseudoequivalent potential temperature θse is present in the boundary layer, signified by substantial unstable energy. The BLJ aids mesoscale ascent on its terminus, enhancing convergence along the coastline. The BLJ also channels unstable energy and water vapor to the YHCR, causing significant rainfall. Typical case studies of both types show similar environmental backgrounds. The scale analysis shows mesoscales of dynamic field are crucial in shaping both types of WSWR, while the large-scale and meso-α-scale dynamic field facilitate the transportation of moist and warm airflow.
Observed Subdaily Variations in Air–Sea Turbulent Heat Fluxes under Different Marine Atmospheric Boundary Layer Stability Conditions in the Gulf Stream
Authors: Song Xiangzhou , Xie Xuehan , Yan Yunwei , Xie Shang-Ping 
Published: March 2024

Abstract
Based on data collected from 14 buoys in the Gulf Stream, this study examines how hourly air–sea turbulent heat fluxes vary on subdaily time scales under different boundary layer stability conditions. The annual mean magnitudes of the subdaily variations in latent and sensible heat fluxes at all stations are 40 and 15 W m−2, respectively. Under near-neutral conditions, hourly fluctuations in air–sea humidity and temperature differences are the major drivers of subdaily variations in latent and sensible heat fluxes, respectively. When the boundary layer is stable, on the other hand, wind anomalies play a dominant role in shaping the subdaily variations in latent and sensible heat fluxes. In the context of a convectively unstable boundary layer, wind anomalies exert a strong controlling influence on subdaily variations in latent heat fluxes, whereas subdaily variations in sensible heat fluxes are equally determined by air–sea temperature difference and wind anomalies. The relative contributions by all physical quantities that affect subdaily variations in turbulent heat fluxes are further documented. For near-neutral and unstable boundary layers, the subdaily contributions are O(2) and O(1) W m−2 for latent and sensible heat fluxes, respectively, and they are less than O(1) W m−2 for turbulent heat fluxes under stable conditions.

Significance Statement
High-resolution buoy observations of air–sea variables in the Gulf Stream provide the opportunity to investigate the physical factors that determine subdaily variations in air–sea turbulent heat fluxes. This study addresses two key points. First, the observed subdaily amplitudes of heat fluxes are related to various processes, including wind fields and air–sea thermal effect differences. Second, the global sea surface heat budget is known to not be in near-zero balance and it ranges from several to tens of watts per square meter. Therefore, consideration of the relatively strong influence of subdaily variability in air–sea turbulent heat fluxes could provide a new strategy for solving the global heat budget balance problem.
High-Efficiency Dynamic Scanning Strategy for Powder Bed Fusion by Controlling Temperature Field of the Heat-Affected Zone
Authors: Huang Xiaokang , Tian Xiaoyong , Zhong Qi , He Shunwen , Huo Cunbao , Cao Yi , Tong Zhiqiang , Li Dichen 
Published: March 2024

AbstractImprovement of fabrication efficiency and part performance was the main challenge for the large-scale powder bed fusion (PBF) process. In this study, a dynamic monitoring and feedback system of powder bed temperature field using an infrared thermal imager has been established and integrated into a four-laser PBF equipment with a working area of 2000 mm × 2000 mm. The heat-affected zone (HAZ) temperature field has been controlled by adjusting the scanning speed dynamically. Simultaneously, the relationship among spot size, HAZ temperature, and part performance has been established. The fluctuation of the HAZ temperature in four-laser scanning areas was decreased from 30.85 ℃ to 17.41 ℃. Thus, the consistency of the sintering performance of the produced large component has been improved. Based on the controllable temperature field, a dynamically adjusting strategy for laser spot size was proposed, by which the fabrication efficiency was improved up to 65.38%. The current research results were of great significance to the further industrial applications of large-scale PBF equipment.
Metagenomic gut microbiome analysis of Japanese patients with multiple chemical sensitivity/idiopathic environmental intolerance
Authors: Watai Kentaro , Suda Wataru , Kurokawa Rina , Sekiya Kiyoshi , Hayashi Hiroaki , Iwata Maki , Nagayama Kisako , Nakamura Yuto , Hamada Yuto , Kamide Yosuke , Fukutomi Yuma , Nakabayashi Takeru , Tanaka Kosei , Kamita Masahiro , Taniguchi Masami , Hattori Masahira 
Published: March 2024

Abstract
Background
Although the pathology of multiple chemical sensitivity (MCS) is unknown, the central nervous system is reportedly involved. The gut microbiota is important in modifying central nervous system diseases. However, the relationship　between the gut microbiota and MCS remains unclear. This study aimed to identify gut microbiota variations associated with MCS using shotgun metagenomic sequencing of fecal samples.

Methods
We prospectively recruited 30 consecutive Japanese female patients with MCS and analyzed their gut microbiomes using shotgun metagenomic sequencing. The data were compared with metagenomic data obtained from 24 age- and sex-matched Japanese healthy controls (HC).

Results
We observed no significant difference in alpha and beta diversity of the gut microbiota between the MCS patients and HC. Focusing on the important changes in the literatures, at the genus level, Streptococcus, Veillonella, and Akkermansia were significantly more abundant in MCS patients than in HC (p < 0.01, p < 0.01, p = 0.01, respectively, fold change = 4.03, 1.53, 2.86, respectively). At the species level, Akkermansia muciniphila was significantly more abundant (p = 0.02, fold change = 3.3) and Faecalibacterium prausnitzii significantly less abundant in MCS patients than in HC (p = 0.03, fold change = 0.53). Functional analysis revealed that xylene and dioxin degradation pathways were significantly enriched (p < 0.01, p = 0.01, respectively, fold change = 1.54, 1.46, respectively), whereas pathways involved in amino acid metabolism and synthesis were significantly depleted in MCS (p < 0.01, fold change = 0.96). Pathways related to antimicrobial resistance, including the two-component system and cationic antimicrobial peptide resistance, were also significantly enriched in MCS (p < 0.01, p < 0.01, respectively, fold change = 1.1, 1.2, respectively).

Conclusions
The gut microbiota of patients with MCS shows dysbiosis and alterations in bacterial functions related to exogenous chemicals and amino acid metabolism and synthesis. These findings may contribute to the further development of treatment for MCS.

Trial registration
This study was registered with the University Hospital Medical Information Clinical Trials Registry as UMIN000031031. The date of first trial registration: 28/01/2018.
“It’s a stressful, trying time for the caretaker”: an interpretive description qualitative study of postoperative transitions in care for older adults with frailty from the perspectives of informal caregivers
Authors: Hladkowicz Emily , Auais Mohammad , Kidd Gurlavine , McIsaac Daniel I , Miller Jordan 
Published: March 2024

Abstract
Background
Older adults with frailty have surgery at a high rate. Informal caregivers often support the postoperative transition in care. Despite the growing need for family and caregiver support for this population, little is known about the experience of providing informal care to older adults with frailty during the postoperative transition in care. The purpose of this study was to explore what is important during a postoperative transition in care for older adults with frailty from the perspective of informal caregivers.

Methods
This was a qualitative study using an interpretive description methodology. Seven informal caregivers to older adults [aged ≥ 65 years with frailty (Clinical Frailty Scale score ≥ 4) who had an inpatient elective surgery] participated in a telephone-based, semi-structured interview. Audio files were transcribed and analyzed using reflexive thematic analysis.

Results
Four themes were constructed: (1) being informed about what to expect after surgery; (2) accessible communication with care providers; (3) homecare resources are needed for the patient; and (4) a support network for the caregivers. Theme 4 included two sub-themes: (a) respite and emotional support and (b) occupational support.

Conclusions
Transitions in care present challenges for informal caregivers of older adults with frailty, who play an important role in successful transitions. Future postoperative transitional care programs should consider making targeted information, accessible communication, and support networks available for caregivers as part of facilitating successful transitions in care.