bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of historical inequity and institutional power on cannabis research: Moving toward equity and inclusion
Authors: Martin-Willett Renée , Stanger Madeline , James Wanda , Bryan Angela D , Bidwell L Cinnamon 
Published: December 2023

Abstract
Given historical inequities in cannabis laws and policies, there is an obligation on the part of researchers and policy makers to actively work toward improving equity in cannabis research at a time when the field is rapidly expanding. We wish to propose a way forward for cannabis research that acknowledges this history of discrimination and misuse of institutional power and embraces equity and inclusion. This article provides a brief perspective on historical drug policy, recent legalization trends that have disproportionately benefitted some groups over others, and the repercussions of those trends for the cannabis research enterprise. In addition, it proposes five key actions in both policy and research domains that are necessary to move the field of cannabis research, and perhaps biomedical research in substance use more broadly, forward in a productive and inclusionary way. Specifically, recommendations focus on equity-focused legislation and policy, supporting the entry and retention of scientists of color into the field, engaging in more ethical research practices, and practicing intentionally inclusive recruitment of participants will help to move the field of cannabis research forward. These efforts will ensure that scientific gains are shared equitably moving forward.
Russia's attacks on civilians strengthen Ukrainian resistance
Authors: Bartusevičius Henrikas , van Leeuwen Florian , Mazepus Honorata , Laustsen Lasse , Tollefsen Andreas Forø 
Published: December 2023

Abstract
The all-out Russian invasion of Ukraine commencing in February 2022 has been characterized by systematic violence against civilians. Presumably, the commanders of Russian forces believe that, for example, the bombing of residential buildings will force Ukrainians to lay down their arms. We ask whether military attacks against civilians deter or, in contrast, motivate resistance against the attackers. Two-wave probability surveys were collected in Ukraine in March and April 2022 (Ns = 1,081 and 811, respectively). Preregistered analyses indicate that perceptions and experience of military attacks (victimization) did not decrease Ukrainians’ motivations to resist the invading forces. The analyses suggest that victimization positively relates to motivations to join military combat in defense positions. Military attacks against civilians are morally impermissible and prohibited under international humanitarian law. Our results suggest that such attacks are also counterproductive from a military perspective.
The Asymmetric Polarization of Immigration Opinion in the United States
Authors: Ollerenshaw Trent , Jardina Ashley 
Published: December 2023

Abstract
In this paper, we analyze trends in Americans’ immigration attitudes and policy preferences nationally and across partisan and racial/ethnic groups. In the 1990s and early 2000s, Democrats and Republicans shared similarly negative attitudes toward immigrants and high levels of support for restrictionist immigration policies. Beginning in the 2010s and continuing through the early 2020s, however, Democrats’ aggregate immigration opinions liberalized considerably. We observed increasingly liberal immigration preferences among Democrats of all racial and ethnic backgrounds after 2016, but this trend was especially pronounced among white Democrats. Among Republicans, opinion on immigration remained mostly stable over this period, although in some cases it became more conservative (e.g., border security) and more liberal on others (e.g., amnesty). The marked liberalization in immigration opinion among Democrats has left partisans more divided on immigration than at any point since national surveys began consistently measuring immigration opinion in the late twentieth century.
National Origin Identity and Descriptive Representativeness: Understanding Preferences for Asian Candidates and Representation
Authors: Wu Jennifer D 
Published: December 2023

AbstractThis paper examines how an Asian candidate’s national origin background affects their perceived ability to represent different constituents. Would Asian voters prefer any Asian candidate over someone who is non-Asian? Using a series of survey experiments that randomly emphasize the national origin backgrounds of two real politicians and a hypothetical politician, I find that politicians who are East or Southeast Asian are viewed as more representative of Asian American interests than those who are South Asian. Nonetheless, respondents agree that Asian politicians, regardless of national origin, will represent Asian Americans more than a non-Asian politician. While national origin background matters, there is still potential for an electoral advantage based on shared Asian panethnicity. These results contribute to our understanding of the salience of panethnic identities in electoral contexts.
Exact WKB Analysis and TBA Equations for the Stark Effect
Authors: Ito Katsushi , Yang Jingjing 
Published: December 2023

Abstract
We apply the exact Wentzel–Kramers–Brillouin (WKB) analysis to a couple of 1D Schrödinger-type equations reduced from the Stark effect of hydrogen in a uniform electric field. By introducing Langer’s modification and incorporating the Stokes graphs, we prove the exactness of the Bohr–Sommerfeld quantization conditions for the Borel-resummed quantum WKB periods in the specific parameter regions of the electric field intensity and magnetic quantum number. It is also found these quantization conditions get modified with an additional suppressed contribution when the parameters vary beyond the specific regions. We also present thermodynamic Bethe ansatz (TBA) equations governing the quantum periods in the absence of Langer’s modification and discuss its wall-crossing and analytic continuation. Numerical calculations are conducted to compare the complex resonant frequencies from our quantization conditions against ones from the Riccati–Padé method; the TBA equations are also confirmed by comparing its expansions with all-order quantum periods.
Fracture prediction in rheumatoid arthritis: validation of FRAX with bone mineral density for incident major osteoporotic fractures
Authors: Richards Ceri , Stevens Richard , Lix Lisa M , McCloskey Eugene V , Johansson Helena , Harvey Nicholas C , Kanis John A , Leslie William D 
Published: December 2023

Abstract

Objectives
FRAX uses clinical risk factors, with or without BMD, to calculate 10-year fracture risk. RA is a risk factor for osteoporotic fracture and a FRAX input variable. FRAX predates the current era of RA treatment. We examined how well FRAX predicts fracture in contemporary RA patients.

Methods
Administrative data from patients receiving BMD testing were linked to the Manitoba Population Health Research Data Repository. Observed cumulative 10-year major osteoporotic fracture (MOF) probability was compared with FRAX-predicted 10-year MOF probability with BMD for assessing calibration. MOF risk stratification was assessed using Cox regression.

Results
RA patients (n = 2099, 208 with incident MOF) and non-RA patients (n = 2099, with 165 incident MOF) were identified. For RA patients, FRAX-predicted 10-year risk was 13.2% and observed 10-year MOF risk was 13.2% (95% CI 11.6, 15.1). The slope of the calibration plot was 0.67 (95% CI 0.53, 0.81) in those with RA vs 0.98 (95% CI 0.61, 1.34) in non-RA patients. Risk was overestimated in RA patients with high FRAX scores (&gt;20%), but FRAX was well calibrated in other groups. FRAX stratified risk in those with and without RA [hazard ratio (HR) 1.52 (95% CI 1.25, 1.72) vs 2.00 (95% CI 1.73, 2.31)], with slightly better performance in the latter (P for interaction = 0.004).

Conclusions
FRAX predicts fracture risk in contemporary RA patients but may slightly overestimate risk in those already at high predicted risk. Thus the current FRAX tool continues to be appropriate for fracture risk assessment in RA patients.
Fast Bayesian Inference of Phylogenies from Multiple Continuous Characters
Authors: Zhang Rong , Drummond Alexei J , Mendes Fábio K 
Published: December 2023

Abstract
Time-scaled phylogenetic trees are an ultimate goal of evolutionary biology and a necessary ingredient in comparative studies. The accumulation of genomic data has resolved the tree of life to a great extent, yet timing evolutionary events remain challenging if not impossible without external information such as fossil ages and morphological characters. Methods for incorporating morphology in tree estimation have lagged behind their molecular counterparts, especially in the case of continuous characters. Despite recent advances, such tools are still direly needed as we approach the limits of what molecules can teach us. Here, we implement a suite of state-of-the-art methods for leveraging continuous morphology in phylogenetics, and by conducting extensive simulation studies we thoroughly validate and explore our methods’ properties. While retaining model generality and scalability, we make it possible to estimate absolute and relative divergence times from multiple continuous characters while accounting for uncertainty. We compile and analyze one of the most data-type diverse data sets to date, comprised of contemporaneous and ancient molecular sequences, and discrete and continuous morphological characters from living and extinct Carnivora taxa. We conclude by synthesizing lessons about our method’s behavior, and suggest future research venues.
Trichoderma asperellum boosts nitrogen accumulation and photosynthetic capacity of wolfberry (Lycium chinense) under saline soil stress
Authors: Yan Kun , Zhu Mingye , Su Hongyan , Liu Xiao , Li Shuxin , Zhi Yibo , Li Yuxin , Zhang Jingdan 
Published: December 2023

Abstract
Trichoderma can promote plant growth under saline stress, but the mechanisms remain to be revealed. In this study, we investigate photosynthetic gas exchange, photosystem II (PSII) performance, nitrogen absorption and accumulation in a medicinal plant wolfberry (Lycium chinense) in saline soil supplemented with Trichoderma biofertilizer (TF). Larger nitrogen and biomass accumulation were found in plants supplemented with TF than with organic fertilizer (OF), suggesting that Trichoderma asperellum promoted plant growth and nitrogen accumulation under saline stress. T. asperellum strengthened root nitrogen (N) absorption according to greater increased root NH4+ and NO3− influxes under supplement with TF than OF, while nitrogen assimilative enzymes such as nitrate reductase, nitrite reductase and glutamine synthetase activities in roots and leaves were also stimulated. Thus, the elevated N accumulation derived from the induction of T. asperellum on nitrogen absorption and assimilation. Greater increased photosynthetic rate (Pn) and photosynthetic N-use efficiency under supplement with TF than OF illustrated that T. asperellum enhanced photosynthetic capacity and N utilization under saline stress. Although increased leaf stomatal conductance contributed to carbon (C) isotope fractionation under TF supplement, leaf 13C abundance was significantly increased by supplement with TF rather than OF, indicating that T. asperellum raised CO2 assimilation to a greater extent, reducing C isotope preference. Trichoderma asperellum optimized electron transport at PSII donor and acceptor sides under saline stress because of lower K and J steps in chlorophyll fluorescence transients under supplement with TF than OF. The amount of PSII active reaction centers was also increased by T. asperellum. Thus, PSII performance was upgraded, consistent with greater heightened delayed chlorophyll fluorescence transients and I1 peak under supplement with TF than OF. In summary, TF acted to increase N nutrient acquisition and photosynthetic C fixation resulting in enhanced wolfberry growth under saline soil stress.
Adaptive tails? Parallel evolution of expanded tails in monsoonal tropics lineages of an Australian gecko radiation (Oedura)
Authors: Green Amy L , Oliver Paul M , Gray Jaimi A , Sherratt Emma 
Published: December 2023

Abstract
Ecological drivers of variation in the morphology of the lizard tail are understudied despite its important and varied functions in defence, locomotion, balance, climbing, and resource storage. We quantified variation in original tail shape and surface area-to-volume ratio (SA : V) in an Australian gecko clade (Oedura) and tested whether environmental variables are predictors of this variation. To use museum specimens, we developed an approach to straighten deformed preserved tails for accurate shape analysis. Tail shape varied from a relatively ‘typical lizard’ tail—long, tapered, and circular in cross-section—to a distinctive expanded, wide, and flat shape. Extreme versions of the latter shape seem to have evolved in parallel in two distantly related lineages. Wide tails and low SA : V ratio values occur in the Australian Monsoonal Tropics, while arid zone species all had a narrow, tapered tail with high SA : V. These data suggest expanded or bulbous tails may be analogous to succulence in plants and an adaptation for resource storage in environments with predictable peaks (wet season) and dearths (dry season) of resource availability. However, limited replicated evolution of bulbous tails precludes statistical significance in this case, and more analyses of tail anatomy in Oedura and other lizard clades are required to test this hypothesis further.
Team-based care of the thoracic surgical patient
Authors: Slowey Charlie , Abernathy Jake 
Published: December 2023

Purpose of review
Although team-based care has been shown in many sectors to improve outcomes, very little work has been done with the thoracic surgical patient. This review article focuses on this and, extrapolating from other closely related surgical fields, teamwork in thoracic surgery will be reviewed for outcome efficacy and substance.

Recent findings
The optimal team has been shown to display behaviors that allow them to model future needs, predict disaster, be adaptable to change, and promote team cohesiveness all with a positive effect on perioperative outcome. The suboptimal team will have transactional leadership, poor communication, ineffective conflict resolution, and hold rigid beliefs about other team members.

Summary
To improve outcome, the thoracic surgical team, centered on the anesthesiologist and surgeon, will display the ‘Big 5’ attributes of highly effective teams. There are attributes of poor teams, which the dyad should avoid in order to increase the team's function and thus outcome.
Innovative designs for trials informing the care of cardiac surgical patients: Part II
Authors: Anusic Nikola , Sessler Daniel I. 
Published: December 2023

Purpose of review
This review examines advances in clinical trial methodologies relevant to cardiac anesthesia. It focuses on innovative approaches, including factorial randomization, composite outcomes, and cluster randomized trials, which enhance the efficiency, practical relevance, and generalizability of trial outcomes.

Recent findings
Factorial randomization is becoming popular because the approach allows investigators to simultaneously evaluate two or more interventions. Furthermore, factorial designs can evaluate interactions among treatments which is highly relevant information that cannot be obtained from separate trials. Composite outcomes are also increasingly utilized, combining multiple individual outcomes into a single measure, which increases statistical power and can better represent relevant physiology. Designing valid composites requires careful consideration of component outcome severity and incidence. Cluster randomized trials, including stepped wedge and multiple crossover designs, address the challenges of group-level effects and shared environments.

Summary
The evolution of clinical trial designs is marked by a shift towards methodologies that enhance efficiency and provide more nuanced insights into treatment effects. These include factorial designs for simultaneous intervention assessment, composite outcomes for comprehensive physiological representation, and cluster trials for group-level effect analysis. Such advancements are shaping the future of clinical research, making it more relevant, efficient, and broadly applicable.
Performance Characteristics of Sepsis Screening Tools During Delivery Admissions
Authors: Main Elliott K. , Fuller Matt , Kovacheva Vesela P. , Elkhateb Rania , Azar Kristen , Caldwell Morgan , Chiem Vanna , Foster Mindy , Gibbs Ronald , Hughes Brenna L. , Johnson Rebecca , Kottukapally Nobin , Cortes Magdalena Sanz , Rosenstein Melissa G. , Shields Laurence E. , Sudat Sylvia , Sutton Caitlin D. , Toledo Paloma , Traylor Austin , Wharton Kurt , Bauer Melissa E. 
Published: December 2023

OBJECTIVE:
To evaluate the screening performance characteristics of existing tools for the diagnosis of sepsis during delivery admissions.

METHODS:
This was a case–control study using electronic health record data, including vital signs and laboratory results, for all delivery admissions of patients with sepsis from 59 nationally distributed hospitals. Patients with sepsis were matched by gestational age at delivery in a 1:4 ratio with patients without sepsis to create a comparison group. Patients with chorioamnionitis and sepsis were compared with a complete cohort of patients with chorioamnionitis without sepsis. Multiple screening criteria for sepsis were evaluated: the CMQCC (California Maternal Quality Care Collaborative), SIRS (Systemic Inflammatory Response Syndrome), the MEWC (the Maternal Early Warning Criteria), UKOSS (United Kingdom Obstetric Surveillance System), and the MEWT (Maternal Early Warning Trigger Tool). Sensitivity, false-positive rates, and C-statistics were reported for each screening tool. Analyses were stratified into cohort 1, which excluded patients with chorioamnionitis–endometritis, and cohort 2, which included those patients.

RESULTS:
Delivery admissions at 59 hospitals were extracted for patients with sepsis. Cohort 1 comprised 647 patients with sepsis, including 228 with end-organ injury, matched with a control group of 2,588 patients without sepsis. Cohort 2 comprised 14,591 patients with chorioamnionitis–endometritis, of whom 1,049 had sepsis and 238 had end-organ injury. In cohort 1, the CMQCC and the UKOSS pregnancy-adjusted criteria had the lowest false-positive rates (6.9% and 9.6%, respectively) and the highest C-statistics (0.92 and 0.91, respectively). Although other screening criteria, such as SIRS and the MEWC, had similar sensitivities, it was at the cost of much higher false-positive rates (21.3% and 38.3%, respectively). In cohort 2, including all patients with chorioamnionitis–endometritis, the highest C-statistics were again for the CMQCC (0.67) and UKOSS (0.64). All screening tools had high false-positive rates, but the false-positive rates for the CMQCC and UKOSS were substantially lower than those for SIRS and the MEWC.

CONCLUSION:
During delivery admissions, the CMQCC and UKOSS pregnancy-adjusted screening criteria have the lowest false-positive results while maintaining greater than 90% sensitivity rates. Performance of all screening tools was degraded in the setting of chorioamnionitis–endometritis.
Wideband Absorbance Predicts the Severity of Conductive Hearing Loss in Children With Otitis Media With Effusion
Authors: Aithal Sreedevi , Aithal Venkatesh , Kei Joseph 
Published: December 2023

Objectives:The objectives of the present study were to investigate the relationship between wideband absorbance (WBA) and air–bone gap (ABG) in children with a conductive hearing loss (CHL) due to otitis media with effusion (OME) and determine the accuracy of WBA to predict the magnitude of ABGs.Design:This was a prospective, cross-sectional study involving a control group of 170 healthy ears from 130 children (mean age 7.7 years) and a CHL cohort of 181 ears from 176 children (mean age 5.9 years) with OME. The CHL cohort was divided into three groups: CHL1, CHL2, and CHL3 defined by mean ABG (averaged across 0.5 to 4 kHz) of 16 to 25 dB, 26 to 35 dB, and 36 to 45 dB, respectively. WBA was measured at frequencies from 0.25 to 8 kHz at ambient pressure.Results:WBA was significantly reduced between 0.25 and 5 kHz for all CHL groups. The difference in WBA at 1 to 4 kHz between the control and CHL groups increased with increasing ABG. The predictive accuracy, as indicated by area under the receiver operating characteristic curve (AUROC) of WBA, increased with increasing ABG. The AUROC for WBA at 1.5 kHz was 0.86 for the CHL1, 0.91 for the CHL2, and 0.93 for the CHL3 group. The AUROCs for WBA averaged across 0.5 to 4 kHz were 0.88, 0.93, and 0.94 for the CHL1, CHL2, and CHL3 groups, respectively. Linear regression analyses showed significant negative correlations between WBA0.5–4 kand ABG0.5–4 k. The regression model (ABG0.5–4 k= 31.83 – 24.08 × WBA0.5–4 k) showed that WBA0.5–4 kpredicted ABG0.5–4 kwith high accuracy. Comparison of predicted and actual WBA on a different group of subjects revealed that at an individual level, the model predicted ABG between 16 and 35 with greater precision.Conclusions:There were significant strong correlations between WBA and ABG such that WBA decreased with increasing ABG. WBA demonstrated good discrimination accuracy with AUROC exceeding 0.88 for the 0.5 to 4 kHz and 1 to 4 kHz frequency bands. The WBA test holds promise for determining the severity of CHL in children with OME.
A New Deep Learning Algorithm for Detecting Spinal Metastases on Computed Tomography Images
Authors: Motohashi Masataka , Funauchi Yuki , Adachi Takuya , Fujioka Tomoyuki , Otaka Naoya , Kamiko Yuka , Okada Takashi , Tateishi Ukihide , Okawa Atsushi , Yoshii Toshitaka , Sato Shingo 
Published: December 2023

Study Design.
Retrospective diagnostic study.

Objective.
To automatically detect osteolytic bone metastasis lesions in the thoracolumbar region using conventional computed tomography (CT) scans, we developed a new deep learning (DL)-based computer-aided detection model.

Summary of Background Data.
Radiographic detection of bone metastasis is often difficult, even for orthopedic surgeons and diagnostic radiologists, with a consequent risk for pathologic fracture or spinal cord injury. If we can improve detection rates, we will be able to prevent the deterioration of patients’ quality of life at the end stage of cancer.

Materials and Methods.
This study included CT scans acquired at Tokyo Medical and Dental University (TMDU) Hospital between 2016 and 2022. A total of 263 positive CT scans that included at least one osteolytic bone metastasis lesion in the thoracolumbar spine and 172 negative CT scans without bone metastasis were collected for the datasets to train and validate the DL algorithm. As a test data set, 20 positive and 20 negative CT scans were separately collected from the training and validation datasets. To evaluate the performance of the established artificial intelligence (AI) model, sensitivity, precision, F1-score, and specificity were calculated. The clinical utility of our AI model was also evaluated through observer studies involving six orthopaedic surgeons and six radiologists.

Results.
Our AI model showed a sensitivity, precision, and F1-score of 0.78, 0.68, and 0.72 (per slice) and 0.75, 0.36, and 0.48 (per lesion), respectively. The observer studies revealed that our AI model had comparable sensitivity to orthopaedic or radiology experts and improved the sensitivity and F1-score of residents.

Conclusion.
We developed a novel DL-based AI model for detecting osteolytic bone metastases in the thoracolumbar spine. Although further improvement in accuracy is needed, the current AI model may be applied to current clinical practice.

Level of Evidence.
Level III.