bluuebunny/crossref_metadata_2025_split huggingface dataset:
A view of the pan‐genome of domesticated Cowpea (Vigna unguiculata [L.] Walp.)
Authors: Liang Qihua , Muñoz‐Amatriaín María , Shu Shengqiang , Lo Sassoum , Wu Xinyi , Carlson Joseph W. , Davidson Patrick , Goodstein David M. , Phillips Jeremy , Janis Nadia M. , Lee Elaine J. , Liang Chenxi , Morrell Peter L. , Farmer Andrew D. , Xu Pei , Close Timothy J. , Lonardi Stefano 
Published: March 2023

AbstractCowpea, Vigna unguiculata L. Walp., is a diploid warm‐season legume of critical importance as both food and fodder in sub‐Saharan Africa. This species is also grown in Northern Africa, Europe, Latin America, North America, and East to Southeast Asia. To capture the genomic diversity of domesticates of this important legume, de novo genome assemblies were produced for representatives of six subpopulations of cultivated cowpea identified previously from genotyping of several hundred diverse accessions. In the most complete assembly (IT97K‐499‐35), 26,026 core and 4963 noncore genes were identified, with 35,436 pan genes when considering all seven accessions. GO terms associated with response to stress and defense response were highly enriched among the noncore genes, while core genes were enriched in terms related to transcription factor activity, and transport and metabolic processes. Over 5 million single nucleotide polymorphisms (SNPs) relative to each assembly and over 40 structural variants >1 Mb in size were identified by comparing genomes. Vu10 was the chromosome with the highest frequency of SNPs, and Vu04 had the most structural variants. Noncore genes harbor a larger proportion of potentially disruptive variants than core genes, including missense, stop gain, and frameshift mutations; this suggests that noncore genes substantially contribute to diversity within domesticated cowpea.
Building the foundation: Increasing the capacity for critical empathy in co‐curricular leadership programs
Authors: Waxstein Katherine , Cooper Ashton R. 
Published: March 2023

AbstractEmpathy is an important element of the social action, leadership, and transformation model for student leaders. Specifically, critical empathy is vital in developing group solidarity toward social‐justice outcomes. In this article, we explain how we facilitate the development of critical empathy among student leaders in a co‐curricular leadership development program.
Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
Authors: den Boer R. B. , Jaspers T. J. M. , de Jongh C. , Pluim J. P. W. , van der Sommen F. , Boers T. , van Hillegersberg R. , Van Eijnatten M. A. J. M. , Ruurda J. P. 
Published: March 2023

Abstract
Objective
To develop a deep learning algorithm for anatomy recognition in thoracoscopic video frames from robot-assisted minimally invasive esophagectomy (RAMIE) procedures using deep learning.

Background
RAMIE is a complex operation with substantial perioperative morbidity and a considerable learning curve. Automatic anatomy recognition may improve surgical orientation and recognition of anatomical structures and might contribute to reducing morbidity or learning curves. Studies regarding anatomy recognition in complex surgical procedures are currently lacking.

Methods
Eighty-three videos of consecutive RAMIE procedures between 2018 and 2022 were retrospectively collected at University Medical Center Utrecht. A surgical PhD candidate and an expert surgeon annotated the azygos vein and vena cava, aorta, and right lung on 1050 thoracoscopic frames. 850 frames were used for training of a convolutional neural network (CNN) to segment the anatomical structures. The remaining 200 frames of the dataset were used for testing the CNN. The Dice and 95% Hausdorff distance (95HD) were calculated to assess algorithm accuracy.

Results
The median Dice of the algorithm was 0.79 (IQR = 0.20) for segmentation of the azygos vein and/or vena cava. A median Dice coefficient of 0.74 (IQR = 0.86) and 0.89 (IQR = 0.30) were obtained for segmentation of the aorta and lung, respectively. Inference time was 0.026 s (39 Hz). The prediction of the deep learning algorithm was compared with the expert surgeon annotations, showing an accuracy measured in median Dice of 0.70 (IQR = 0.19), 0.88 (IQR = 0.07), and 0.90 (0.10) for the vena cava and/or azygos vein, aorta, and lung, respectively.

Conclusion
This study shows that deep learning-based semantic segmentation has potential for anatomy recognition in RAMIE video frames. The inference time of the algorithm facilitated real-time anatomy recognition. Clinical applicability should be assessed in prospective clinical studies.
Conscientious use of patient-reported outcome measures in supportive care
Authors: Smith Derek K. 
Published: March 2023

Abstract
Purpose
Patient-reported outcome measures (PRO) are critical tools to developing an understanding of cancer patients’ experience. This paper presents some of the lesser-understood implications of using patient-reported outcome measures in clinical research.

Methods
This study uses a combination of literature sources, real-world examples from supportive care studies, and statistical simulations to demonstrate the operating characteristics of patient-reported measures.

Results
It is demonstrated that care must be taken in the analysis of PROs as the assumptions of the most common mean-based approaches are often violated including linearity, normally distributed errors, interference with asymptotic convergence via boundary values, and more. Further, the implications of subjective discretization are shown to reduce the apparent statistical power of PRO-based studies.

Conclusions
PRO-based studies must be designed conscientiously as each PRO item will demonstrate a varying degree of subjectivity in a given population. Sample sizes of randomized studies using PROs must be inflated to account for this. Analyses should consider using ordinal statistical models until such time as the assumptions of mean-based models can be verified.
Connectedness of COVID vaccination with economic policy uncertainty, oil, bonds, and sectoral equity markets: evidence from the US
Authors: Yousaf Imran , Qureshi Saba , Qureshi Fiza , Gubareva Mariya 
Published: March 2023

AbstractWe examine the connectedness of the COVID vaccination with the economic policy uncertainty, oil, bonds, and sectoral equity markets in the US within time and frequency domain. The wavelet-based findings show the positive impact of COVID vaccination on the oil and sector indices over various frequency scales and periods. The vaccination is evidenced to lead the oil and sectoral equity markets. More specifically, we document strong connectedness of vaccinations with communication services, financials, health care, industrials, information technology (IT) and real estate equity sectors. However, weak interactions exist within the vaccination–IT-services and vaccination–utilities pairs. Moreover, the effect of vaccination on the Treasury bond index is negative, whereas the economic policy uncertainty shows an interchanging lead and lag relation with vaccination. It is further observed that the interrelation between vaccination and the corporate bond index is insignificant. Overall, the impact of vaccination on the sectoral equity markets and economic policy uncertainty is higher than on oil and corporate bond prices. The study offers several important implications for investors, government regulators, and policymakers.
An Overview of Pharmacotherapy in the Management of Children with Autism Spectrum Disorder at a Public Hospital in KwaZulu-Natal
Authors: Maniram Jennal , Oosthuizen Frasia , Karrim Saira B.S. 
Published: March 2023

AbstractThis study presents an overview of prescribing patterns and provides insight into the current management practice for the core symptoms and comorbidities of ASD in children. A quantitative retrospective study was conducted at a public hospital in KwaZulu-Natal, South Africa by reviewing patient files of children diagnosed with ASD and meeting the inclusion criteria for the study. A descriptive analysis of data was done to identify treatment trends and patient therapeutic outcomes. A total of 181 children met the inclusion criteria of the study. Risperidone was the most frequently prescribed drug (88%) for the management of comorbidities and/or core symptoms of ASD. Drugs prescribed to manage ASD comorbidities included methylphenidate, melatonin, sodium valproate, risperidone, oxybutynin, carbamazepine, and others. Except for risperidone, there were no additional drugs that targeted the core symptoms of ASD. Non-pharmacological therapies were often used collaboratively with medication to manage ASD symptoms. In 41% of patients, there were improvements in their symptoms.
Inexact penalty decomposition methods for optimization problems with geometric constraints
Authors: Kanzow Christian , Lapucci Matteo 
Published: March 2023

AbstractThis paper provides a theoretical and numerical investigation of a penalty decomposition scheme for the solution of optimization problems with geometric constraints. In particular, we consider some situations where parts of the constraints are nonconvex and complicated, like cardinality constraints, disjunctive programs, or matrix problems involving rank constraints. By a variable duplication and decomposition strategy, the method presented here explicitly handles these difficult constraints, thus generating iterates which are feasible with respect to them, while the remaining (standard and supposingly simple) constraints are tackled by sequential penalization. Inexact optimization steps are proven sufficient for the resulting algorithm to work, so that it is employable even with difficult objective functions. The current work is therefore a significant generalization of existing papers on penalty decomposition methods. On the other hand, it is related to some recent publications which use an augmented Lagrangian idea to solve optimization problems with geometric constraints. Compared to these methods, the decomposition idea is shown to be numerically superior since it allows much more freedom in the choice of the subproblem solver, and since the number of certain (possibly expensive) projection steps is significantly less. Extensive numerical results on several highly complicated classes of optimization problems in vector and matrix spaces indicate that the current method is indeed very efficient to solve these problems.
Ensuring Optimal Mental Health Programs and Policies for First Responders: Opportunities and Challenges in One U.S. State
Authors: Fisher Michael P. , Lavender Catherine D. 
Published: March 2023

AbstractThis study examined opportunities and challenges faced by individuals working to advance mental health policy and programming for first responders. We utilized qualitative content analysis and interviews with 16 firefighters, emergency medical services professionals, law enforcement officers, and others involved in programming or policy in the U.S. state of Ohio. Six themes characterized opportunities and challenges encountered: (1) variations in programming and policy exist across jurisdictions; (2) opportunities exist to enhance mental health awareness and self-care training for first responders; (3) need exists for specialized mental health clinicians accustomed to and capable of effectively working with first responders; (4) confidentiality protections are lacking for peer supporters not trained in critical incident stress management; (5) having an internal champion and broader support is key to program and policy advancement; and (6) interdepartmental collaboration provides opportunities for sharing resources and best practices. Results illustrate continued need for strategic policymaking, program development, and coordination.
Explicit infinite families of bent functions outside the completed Maiorana–McFarland class
Authors: Pasalic Enes , Bapić Amar , Zhang Fengrong , Wei Yongzhuang 
Published: March 2023

AbstractDuring the last five decades, many different secondary constructions of bent functions were proposed in the literature. Nevertheless, apart from a few works, the question about the class inclusion of bent functions generated using these methods is rarely addressed. Especially, if such a “new” family belongs to the completed Maiorana–McFarland ($${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

) class then there is no proper contribution to the theory of bent functions. In this article, we provide some fundamental results related to the inclusion in $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

and eventually we obtain many infinite families of bent functions that are provably outside $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

. The fact that a bent function f is in/outside $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

if and only if its dual is in/outside $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

is employed in the so-called 4-decomposition of a bent function on $${\mathbb {F}}_2^n$$

F
2
n

, which was originally considered by Canteaut and Charpin (IEEE Trans Inf Theory 49(8):2004–2019, 2003) in terms of the second-order derivatives and later reformulated in (Hodžić et al. in IEEE Trans Inf Theory 65(11):7554–7565, 2019) in terms of the duals of its restrictions to the cosets of an $$(n-2)$$

(
n
-
2
)

-dimensional subspace V. For each of the three possible cases of this 4-decomposition of a bent function (all four restrictions being bent, semi-bent, or 5-valued spectra functions), we provide generic methods for designing bent functions provably outside $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

. For instance, for the elementary case of defining a bent function $$h(\textbf{x},y_1,y_2)=f(\textbf{x}) \oplus y_1y_2$$

h

(
x
,

y
1

,

y
2

)

=
f

(
x
)

⊕

y
1

y
2

on $${\mathbb {F}}_2^{n+2}$$

F
2

n
+
2

using a bent function f on $${\mathbb {F}}_2^n$$

F
2
n

, we show that h is outside $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

if and only if f is outside $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

. This approach is then generalized to the case when two bent functions are used. More precisely, the concatenation $$f_1||f_1||f_2||(1\oplus f_2)$$

f
1

|
|

f
1

|
|

f
2

|
|

(
1
⊕

f
2

)

also gives bent functions outside $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

if $$f_1$$

f
1

or $$f_2$$

f
2

is outside $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

. The cases when the four restrictions of a bent function are semi-bent or 5-valued spectra functions are also considered and several design methods of constructing infinite families of bent functions outside $${{{\mathcal {M}}}{{\mathcal {M}}}}^\#$$

M
M

#

are provided.
VAT fraud and reverse charge: empirical evidence from VAT return data
Authors: Buettner Thiess , Tassi Annalisa 
Published: March 2023

AbstractIn order to stop Value-Added Tax (VAT) fraud, EU member states use the so-called reverse-charge (RC) mechanism, which effectively removes VAT withholding and refunding in business-to-business transactions. Using the German VAT return data, we examine the effects of the introduction of RC and find that requests of input tax refunding decline sharply in the affected industries, supporting the presence of fraud prior to the introduction of RC. Based on our estimates, we quantify the revenue losses from VAT fraud prior to RC implementation in these industries to be around 5% of VAT revenues.
Optimisation of the Zr:Ti ratio in bulk lead zirconate titanate for templated grain growth using BaTiO3 seeds
Authors: Mantheakis Edoardo F. , Watson Beecher H. , Brova Michael J. , Messing Gary L. , Stoica Laura A. , Reaney Ian M. 
Published: March 2023

AbstractPresented here is a proof of concept demonstration of the templated grain growth (TGG) process for the development of [001]c fibre-textured Pb(ZrxTi1-x)O3 (PZT) ceramics. BaTiO3 platelets (5 and 10 vol.%) were selected to seed growth of highly oriented PZT grains resulting in texture fractions as high as 94%. The TGG process in PZT was observed to be critically dependent upon the addition of excess PbO liquid phase and may be driven by BaTiO3 dissolution into the matrix. Solid solution incorporation of BaTiO3 during sintering resulted in a structural shift away from the PZT morphotropic phase boundary (MPB) and a decrease in Curie temperature (TC) by ~ 40 °C which still exceeded > 300 °C. Modification of the Zr:Ti ratio in untextured ceramic analogues was explored as a strategy to tailor dielectric, ferroelectric, and electromechanical properties. An initial PZT matrix composition of Pb(Zr0.56Ti0.44)O3 resulted in a final bulk Pb0.947Ba0.053(Zr0.531Ti0.469)O3 ceramic having MPB-like properties of d33 = 453 pC/N, tan δ = 0.017, TC = 340 °C, and Ec = 9.3 kV/cm, which was observed to be similar to commercial ‘soft’ PZT-5A1.
A patent-based analysis of the evolution of basic, mission-oriented, and applied research in European universities
Authors: Angori Gabriele , Marzocchi Chiara , Ramaciotti Laura , Rizzo Ugo 
Published: March 2023

AbstractThe dynamics of basic and applied research at university and industry have steadily changed since the Eighties, with the private sector reducing its investments in science and universities experiencing significant remodelling in the governance of their funding. While studies have focussed on documenting these changes in industry, less attention has been paid to observe the trajectories of basic and applied research in universities. This work contributes to fill this gap by looking at the evolution of publicly funded research that has been patented by universities between 1978 and 2015. First, we adopt a critical perspective of the basic versus applied dichotomy and identify patents according to three typologies of research: basic, mission-oriented, and applied research. Second, we describe the evolution of these three typologies in universities compared to industry. Our results show that over the years, patents from academic research that was publicly funded have become more oriented towards pure basic research, with mission-oriented basic research and pure applied research decreasing from the late 1990s. These results complement and extend the literature on basic and applied research dynamics in the private sector. By introducing mission-oriented research as a type of basic research with consideration of use, the work problematises the basic and applied research dichotomy and provides insights into the evolution of academic research focus, offering a more complex picture of how university research contributes to industry and broader social value creation.
Cardiovascular involvement in Erdheim–Chester diseases is associated with myocardial fibrosis and atrial dysfunction
Authors: Palmisano Anna , Campochiaro Corrado , Vignale Davide , Tomelleri Alessandro , De Luca Giacomo , Bruno Elisa , Monti Caterina B. , Cavalli Giulio , Dagna Lorenzo , Esposito Antonio 
Published: March 2023

Abstract
Purpose
Erdheim–Chester disease (ECD) is a rare multisystem histiocytosis, whose cardiovascular involvement has not been systematically characterized so far. We aimed to systematically (qualitatively and quantitatively) describe the features of cardiovascular involvement in a large cohort of ECD patients and to evaluate its impact on myocardial fibrosis extension and cardiac function.

Material and methods
Among 54 patients with biopsy-proven ECD, 29 patients (59 ± 12 years, 79% males) underwent 1.5-T CMR using a standardized protocol for qualitative and quantitative assessment of disease localization, evaluation of atrial and ventricular function, and assessment of non-dense and dense myocardial fibrosis.

Results
The right atrioventricular (AV) groove was the most commonly affected cardiac site (76%) followed by the right atrial walls (63%), thoracic aorta (59%), and superior vena cava (38%). Right AV groove involvement, encasing the right ventricular artery, was associated with non-dense myocardial fibrosis in the infero-septal (20/26 patients) and the inferior (14/26 patients) mid-basal left ventricular (LV) wall. In two patients with right AV groove localization, LGE revealed myocardial infarction in the same myocardial segments. Three out of five patients with left AV groove involvement had non-dense LGE on the lateral LV mid-basal wall. Bulky right atrial pseudomass was associated with atrial dysfunction and superior and inferior vena cava stenosis.

Conclusions
In ECD patients, AV groove localization is associated with LV wall fibrosis in the downstream coronary territories, suggesting hemodynamic alterations due to coronary encasement. Conversely, atrial pseudomass ECD localizations impact on atrial contractility causing atrial dysfunction and are associated with atrio-caval junction stenosis.
The Influence of a Roux-en-Y Gastric Bypass on Plasma Concentrations of Antidepressants
Authors: Garin Paul , Favre Lucie , Vionnet Nathalie , Frantz Johanna , Eap Chin B. , Vandenberghe Frederik 
Published: March 2023

Abstract

Purpose
Roux-en-Y gastric bypass (RYGB) involves alterations of the gastrointestinal tract resulting in altered absorption. Patients with obesity have a higher prevalence of depression, and antidepressants are often prescribed. Alterations caused by RYGB could modify drug bioavailability and cause potential subtherapeutic plasma concentrations, increasing the risk of depressive relapse. The aim of this study was to describe the evolution of trough drug dose-normalized antidepressant plasma concentrations before and after RYGB.

Materials and Methods
This naturalistic prospective case series considers patients with trough plasma concentrations in a 1-year timeframe before and after RYGB. Only antidepressants prescribed to at least three patients were included in the present study.

Results
Thirteen patients (n = 12 females, median age 44 years, median BMI before intervention = 41.3 kg/m2) were included. Two patients were treated concurrently with fluoxetine and trazodone; the remaining patients were all treated with antidepressant monotherapy. Therapeutic drug monitoring (TDM) values for duloxetine (n = 3), escitalopram (n = 4), fluoxetine (n = 4), and trazodone (n = 4) before (median 4.7 weeks) and after (median 21.3 weeks) RYGB intervention were analyzed. Compared to preintervention, median [interquartile range] decreases in dose-normalized trough plasma concentrations for duloxetine (33% [− 47; − 23]), escitalopram (43% [− 51; − 31]), fluoxetine (9% [− 20; 0.2]), and trazodone (16% [− 29; 0.3]) were observed.

Conclusion
This study shows a decrease in plasma antidepressant concentrations following RYGB. TDM before and after RYGB, in addition to close monitoring of psychiatric symptomatology, may help optimize antidepressant treatment after bariatric surgery. These results also highlight the need for prospective studies assessing the clinical evidence available through TDM in these patients.

Graphical Abstract
Harmonic Analysis Associated with the Jacobi–Dunkl Operator on $$(-\pi ,\pi )$$: Exotic Cases
Authors: Stempak Krzysztof 
Published: March 2023

AbstractWe investigate some spectral properties of a second order differential-difference operator $$J_{\alpha ,\beta }$$

J

α
,
β

on $$L^2((-\pi ,\pi ),d\mu _{\alpha , \beta })$$

L
2

(

(
-
π
,
π
)

,
d

μ

α
,
β

)

, $$\alpha ,\beta \in \mathbb {R}$$

α
,
β
∈
R

, called the Jacobi–Dunkl operator of compact type. Using an idea of Hajmirzaahmad, in exotic cases, e.g. when at least one of the two parameters $$\alpha ,\beta $$

α
,
β

is $$\le -1$$

≤
-
1

, we construct exotic orthonormal bases that consist of eigenfunctions of $$J_{\alpha ,\beta }$$

J

α
,
β

. This allows one to consider natural self-adjoint exotic extensions of $$J_{\alpha ,\beta }$$

J

α
,
β

and the corresponding exotic Jacobi–Dunkl and Jacobi–Dunkl–Poisson semigroups.