bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spin-3/2 and spin-2 charged massive states in a constant electromagnetic background
Authors: Benakli Karim , Daniel Cassiano A. , Ke Wenqi 
Published: March 2023

Abstract
We develop in components the superspace action obtained in [1] describing the first massive level of the open charged superstring in a flat four-dimensional spacetime. In the absence of an electromagnetic background, we show how the Rarita-Schwinger and Fierz-Pauli Lagrangians are retrieved for spin-3/2 and 2, respectively. We then write different forms of the action in the presence of the electromagnetic background. The resulting equations of motion describe the propagation of fields of charged spin-3/2 and spin-1/2 on the one hand, and spin-2, 1 and 0 on the other.
Spectral Properties of Differential–Difference Symmetrized Operators
Authors: Stempak Krzysztof 
Published: March 2023

AbstractWe investigate some spectral properties of differential–difference operators, which are symmetrizations of differential operators of the form $$(\mathfrak {d}^\dagger \mathfrak {d})^k$$

(

d

†

d
)

k

and $$(\mathfrak {d}\mathfrak {d}^\dagger )^k$$

(
d

d

†

)

k

, $$k\geqslant 1$$

k
⩾
1

. Here, $$\mathfrak {d}=p\frac{d}{\textrm{d}x} +q$$

d
=
p

d

d
x

+
q

and $$\mathfrak {d}^\dagger $$

d

†

stands for the formal adjoint of $$\mathfrak {d}$$
d
on $$L^2((0,b),w\,\textrm{d}x)$$

L
2

(

(
0
,
b
)

,
w

d
x
)

. In the simpliest case $$k=1$$

k
=
1

, this symmetrization brings in the operator $$-\mathfrak {D}^2$$

-

D

2

, which can be seen as a ‘Laplacian’, and $$\mathfrak {D}f:=\mathfrak {D}_{\mathfrak {d}}f= \mathfrak {d}(f_{\text {even}})-\mathfrak {d}^\dagger (f_{\text {odd}})$$

D
f
:
=

D
d

f
=
d

(

f
even

)

-

d

†

(

f
odd

)

, a skew-symmetric operator in $$L^2(I,w\,\textrm{d}x)$$

L
2

(
I
,
w

d
x
)

, $$I=(-\,b,0)\cup (0,b)$$

I
=
(
-

b
,
0
)
∪
(
0
,
b
)

, is the symmetrization of $$\mathfrak {d}$$
d
. Investigated spectral properties include self-adjoint extensions, among them the Friedrichs extensions, of the symmetrized operators.
What is known about the RegentK regenerative treatment for ruptured anterior cruciate ligament? A scoping review
Authors: Tedeschi Roberto , Giorgi Federica 
Published: March 2023

Abstract
Background
Conservative/regenerative therapy for cruciate ligament ruptures can be considered as primary treatment. However, nowadays, the first option is almost always only surgical, although studies on the efficacy of intervention exist in the literature.

Objective
This scoping review aimed to map and summarize the literature to identify interventions with RegentK treatment available for cruciate ligament ruptures.

Methods
Four databases were searched until May 2022. Studies that considered anterior cruciate ruptures treated with the RegentK method could be included. All interventions and contexts were considered. No restrictions were applied regarding language, study design, or publication type. No grey literature and reference lists of included articles were identified. Results were presented in numerical and thematic form.

Results
From 245 initial records, 7 studies met the inclusion criteria. Most of the articles were randomized controlled trials (RCTs) and considered sports patients with cruciate ligament ruptures. The authors discuss only one range of interventions: conservative (n = 7); specifically, the conservative/regenerative RegentK treatment.

Conclusion
This is the first scoping review that provides a comprehensive overview of the topic. The results revealed clear gaps in primary research, confirming that current management is based on surgery. This review may be useful for overall management and may provide a starting point for future research.
The effect of light emission spectrum on biohydrogen production by Rhodopseudomonas palustris
Authors: Bosman Catharine Elizabeth , Pott Robert William McClelland , Bradshaw Steven Martin 
Published: March 2023

AbstractPhotofermentative hydrogen production has gained increasing attention as a source of green energy. To make such photofermentation processes economically competitive, operating costs need to be reduced, possibly through outdoor operation. Because photofermentation processes are light dependent, the emission spectrum and intensity of light both have a significant influence on the hydrogen production and merit investigation. This study investigates the effect of light sources on the hydrogen production and growth of Rhodopseudomonas palustris, comparing the organism’s productivity under longer-wavelength light and light mimicking sunlight. Hydrogen production is enhanced under longer-wavelength light, producing 26.8% (± 7.3%) more hydrogen as compared to under light mimicking that of sunlight; however, R. palustris is still able to produce a considerable volume of hydrogen under light with a spectrum mimicking that of sunlight, providing a promising avenue for future research.
Interconnectivity of fear of progression and generalized anxiety – Network analysis among a sample of hematological cancer survivors
Authors: Göbel Philipp , Kuba Katharina , Götze Heide , Mehnert-Theuerkauf Anja , Spitzer Carsten , Hartung Tim , Esser Peter 
Published: March 2023

Abstract
Purpose
Fear of cancer progression and
recurrence (FoP) and generalized anxiety disorder (GAD) are syndromes commonly seen in cancer patients. This study applied network analysis to investigate how symptoms of both concepts are interconnected.

Methods
We used cross-sectional data from hematological cancer survivors. A regularized Gaussian graphical model including symptoms of FoP (FoP-Q) and GAD (GAD-7) was estimated. We investigated (i) the overall network structure and (ii) tested on pre-selected items whether both syndromes could be differentiated based on their worry content (cancer related vs. generalized). For this purpose, we applied a metric named bridge expected influence (BEI). Lower values mean that an item is only weakly connected with the items of the other syndrome, which can be an indication of its distinctive characteristic.

Results
Out of 2001 eligible hematological cancer survivors, 922 (46%) participated. The mean age was 64 years and 53% were female. The mean partial correlation within each construct (GAD: r = .13; FoP: r = .07) was greater than between both (r = .01). BEI values among items supposed to discriminate between the constructs (e.g., worry about many things within GAD and fear not to endure treatment within FoP) were among the smallest so our assumptions were confirmed.

Conclusions
Our findings based on the network analysis support the hypothesis that FoP and GAD are different concepts within oncology. Our exploratory data needs to be validated in future longitudinal studies.
An improved parameterization procedure for NDDO-descendant semi-empirical methods
Authors: Ong Adrian Wee Wen , Cao Steve Yueran , Kwek Leong Chuan 
Published: March 2023

Abstract
Concept
MNDO-based semi-empirical methods in quantum chemistry have found widespread application in the modelling of large and complex systems. A method for the analytic evaluation of first and second derivatives of molecular properties against semi-empirical parameters in MNDO-based NDDO-descendant models is presented, and the resultant parameter Hessian is compared against the approximant currently used in parameterization for the PMx models.

Methods
As a proof of concept, the exact parameter Hessian is employed in a limited reparameterization of MNDO for the elements C, H, N, O and F using 1206 molecules for reference data (heats of formation, ionization energies, dipole moments and reference geometries). The correctness of our MNDO implementation was verified by comparing the calculated molecular properties with the MOPAC program.
There is a trade-off between forest productivity and animal biodiversity in Europe
Authors: Khamila C. N. , Groen T. A. , Toxopeus A. G. , Santini L. , Neumann M. , Van Swaay C. , Sierdsema H. 
Published: March 2023

AbstractWhile forest productivity and biodiversity are expected to be correlated, prioritizing either forest productivity or biodiversity can result in different management. Spatial quantification of the congruence between areas suitable for either one can inform planning. Here we quantify the relationship between net primary productivity of European forests and biodiversity of mammals, birds, reptiles, amphibians, and butterflies both separately and in combination, and map their spatial congruence. We used richness maps obtained by stacking species distribution models for these animal species, and average net primary production from 2000 to 2012 using moderate resolution imaging spectroradiometer (MODIS) data. We tested how biodiversity and primary productivity are correlated and quantified the spatial congruence of these two sources. We show the areas where high or low productivity co-occur with high or low biodiversity using a quantile-based overlay analysis. Productivity was positively correlated to overall biodiversity and mammal, herptile and butterfly biodiversity, but biodiversity of birds showed a weak negative correlation. There were no significant differences in the strength of relationship across species groups, while herptiles had stronger relationships with productivity compared to other groups. Overlap analysis revealed significant spatial overlap between productivity and biodiversity in all species groups, except for birds. High value areas for both productivity and biodiversity in all species groups, except birds, co-occurred in the Mediterranean and temperate regions. The areas with high biodiversity of birds are mainly found in the boreal areas of Europe, while for all other species groups these areas are mostly located on the Iberian Peninsula and the Balkan ranges. Based on the presented maps, areas where regulating wood production activities to conserve species can be identified. But the maps also help to identify areas where either biodiversity or productivity is high and focusing on just one aspect is more straightforward.
Long-Term and Meditation-Specific Modulations of Brain Connectivity Revealed Through Multivariate Pattern Analysis
Authors: Guidotti Roberto , D’Andrea Antea , Basti Alessio , Raffone Antonino , Pizzella Vittorio , Marzetti Laura 
Published: March 2023

AbstractNeuroimaging studies have provided evidence that extensive meditation practice modifies the functional and structural properties of the human brain, such as large-scale brain region interplay. However, it remains unclear how different meditation styles are involved in the modulation of these large-scale brain networks. Here, using machine learning and fMRI functional connectivity, we investigated how focused attention and open monitoring meditation styles impact large-scale brain networks. Specifically, we trained a classifier to predict the meditation style in two groups of subjects: expert Theravada Buddhist monks and novice meditators. We showed that the classifier was able to discriminate the meditation style only in the expert group. Additionally, by inspecting the trained classifier, we observed that the Anterior Salience and the Default Mode networks were relevant for the classification, in line with their theorized involvement in emotion and self-related regulation in meditation. Interestingly, results also highlighted the role of specific couplings between areas crucial for regulating attention and self-awareness as well as areas related to processing and integrating somatosensory information. Finally, we observed a larger involvement of left inter-hemispheric connections in the classification. In conclusion, our work supports the evidence that extensive meditation practice modulates large-scale brain networks, and that the different meditation styles differentially affect connections that subserve style-specific functions.
Identification of Tomato mottle mosaic virus in historic seed accessions originating from France, the Netherlands and Spain, indicates a wider presence before its first description
Authors: Schoen Ruben , de Koning Pier , Oplaat Carla , Roenhorst Annelien , Westenberg Marcel , van der Gaag Dirk Jan , Barnhoorn Ruud , Koenraadt Harrie , van Dooijeweert Willem , Lievers Rik , Woudt Bert , Tavares Carla Pinto , Botermans Marleen 
Published: March 2023

AbstractTomato mottle mosaic virus (ToMMV) is a tobamovirus found in a Solanum lycopersicum sample collected in Mexico in 2009. To assess the possible presence of ToMMV in Europe, accessions from a historic seed collection were tested by real-time RT-PCR and Illumina sequencing. ToMMV was identified in historical seed accessions produced in France, the Netherlands and Spain. Three different near complete genome sequences were obtained, each corresponding to the country in which the seeds had been produced. Positive samples from France and Spain could be related to the same production location and year, respectively, while the identical genome sequences from the Netherlands were obtained from samples produced in different locations and years between 1981 and 2007. The latter could be due to the fact that the Dutch seed accessions had been repacked in the past at the same location and time as accessions with a relatively high virus load from 2007. This indicates that possibly only the seeds from 2007 originated from ToMMV-infected plants, while the detection of ToMMV in the older seed accessions resulted from cross contamination. This data shows that ToMMV has been around in Europe before its first description and is possibly more widespread than currently known.
The trade effects of product market regulation in global value chains: evidence from OECD and BRICS countries between 2000 and 2015
Authors: Böhmecke-Schwafert Moritz , Blind Knut 
Published: March 2023

AbstractGlobal Value Chains (GVC) have reshaped the landscape of international trade. The quality and intensity of regulation significantly impacts firms' competitiveness and their ability to engage in GVC. Economic literature suggests that regulation of product market competition has a detrimental effect on trade by decreasing productivity, innovation, and economic growth. This paper expands existing knowledge on this relationship by examining the influence of product market regulation (PMR) on value-added trade flows in an augmented gravity model. We constructed a data panel with trade data from 40 OECD and BRICS countries in the period from 2000 to 2015 and combined it with an extensive multi-level indicator set on PMR developed by the OECD. By disentangling the PMR indicators, we account for the heterogeneity of regulation and potential different trade effects. Overall, our evidence suggests that PMR has a negative impact on trade. Further, our results indicate that the negative impact stems largely from barriers to trade and investment. For the BRICS, our results suggest the contrary: We observed an overall positive trade effect of PMR, mainly driven by barriers to trade and investment. Our results support identifying policy areas in which regulatory reform can improve the integration in GVC and emphasize different approaches to economic policy, particularly in emerging economies such as the BRICS. Moreover, the results underline the detrimental effects of increasing protectionism and tariff hikes, a phenomenon that we increasingly observe in recent years from the world’s largest economies, such as the United States and China.
Modeling Stakeholders’ Perceptions in Participatory Multi-risk Assessment on a Deltaic Environment Under Climate Change Conditions
Authors: Katirtzidou Margarita , Skoulikaris Charalampos , Makris Christos , Baltikas Vasilis , Latinopoulos Dionysis , Krestenitis Yannis 
Published: March 2023

AbstractModern concepts in water resources management and related risk assessment necessitate participatory approaches with stakeholders having a key role in the respective processes. The objective of the article is to (i) integrate stakeholders’ opinions and preferences on identified hazards, i.e., coastal flooding, water scarcity, and heat stress, derived by physically based numerical modeling under current and future climate change conditions and attributed in the form of an Integrated deltaic risk index (IDRI) at a specific case study area, and (ii) investigate whether and how the stakeholders’ opinions differentiate the initial outputs coming from the mathematical models. Doing so, stakeholders’ mapping was conducted in tandem with interviews for the detection of responsibilities, tasks, importance, and influence, followed by a structured questionnaire for registering the stakeholders’ perception on climate change impacts and relevant estimated hazards at the same deltaic case study area. Thereafter, a stakeholder-based risk assessment model was constructed based on two methods: (a) stakeholders’ opinion and answers about the impact of each identified hazard are equally taken into consideration, and (b) stakeholders are divided into groups and evaluated through multi-criteria analysis. Finally, the produced weights by the two methods are appropriately coupled with the identified hazards and resulted in the development of a Stakeholder Participatory multi-Risk Index (SPmRI) per method. The comparison of the produced SPmRIs with the IDRI, which was formulated without considering any stakeholders’ participation, reveals noticeable differentiation of modeled outputs especially in cases of high index values, corroborating the need for stakeholders’ opinion inclusion through the SPmRI approach. The proposed methodology fosters the interaction of stakeholders’ perception with modeling-based hazard assessment as a modern tool for decision-making processes.
Effect of corruption on green growth
Authors: Tawiah Vincent , Zakari Abdulrasheed , Alvarado Rafael 
Published: March 2023

AbstractCorruption as a social and cultural epidemic is likely to influence the environmental sustainability and quality of the world we live in, where climate change threatens our survival, both now and in the future. Therefore, in this paper, we use large panel data of 123 countries between 2000 and 2017 to examine the environmental effect of corruption on green growth. Consistent with prior studies and due to the slow-changing nature of corruption, we used the pooled ordinary least square as the primary estimator. We also employ the System-Generalised Method of Moments and Two-Stage Least Square Instrumental Variable analysis to control country-specific effects and simultaneity bias caused by potential endogeneity. The results show a negative and significant relationship between corruption and green growth, suggesting that highly corrupt countries are less likely to improve the environmental consequences of rapid economic growth. Quantitatively, ceteris paribus, a 1% increase in corruption (control of corruption), given its standard deviation, leads to a 15.47% decrease in green growth. This is equivalent to about 0.912 US dollars per kilogram decrease in green growth. In further analyses, we find that the relationship between corruption and green growth is similar in both developed and developing countries implying that no country is immune from the environmental effect of corruption. The findings highlight the need to control corruption to achieve sustainable economic and environmentally friendly development, especially as Agenda 2030 fast approaches.
Signing on: A Contractarian Understanding of How Public History is Used for Civic Inclusion
Authors: Abrahams Daniel 
Published: March 2023

AbstractWhat makes public history more than just another hill to fight over in culture war politics? In this paper I propose a novel way of understanding the political significance of how public history creates and shapes identities: a contractarian one. I argue that public history can be sensibly understood as representing groups as a society’s contracting parties. One particular value of the contractarian approach is that it helps to elucidate the phenomenon of “signing on,” where a marginalized or oppressed group is offered membership in a society without the social order being meaningfully changed.
Industrial Robots and Regional Fertility in European Countries
Authors: Matysiak Anna , Bellani Daniela , Bogusz Honorata 
Published: March 2023

AbstractIn this study, we examine whether the long-term structural changes in the labour market, driven by automation, affect fertility. The adoption of industrial robots is used as a proxy for these changes. It has tripled since the mid-1990s in the EU, tremendously changing the conditions of participating in the labour market. On the one hand, new jobs are created, benefitting largely the highly skilled workers. On the other hand, the growing turnover in the labour market and changing content of jobs induce fears of job displacement and make workers continuously adjust to new requirements (reskill, upskill, increase work efforts). The consequences of these changes are particularly strong for the employment and earning prospects of low and middle-educated workers. Our focus is on six European countries: Czechia, France, Germany, Italy, Poland and the UK. We link regional data on fertility and employment structures by industry from Eurostat (NUTS-2) with data on robot adoption from the International Federation of Robotics. We estimate fixed effects linear models with instrumental variables in order to account for the external shocks which may affect fertility and robot adoption in parallel. Our findings suggest robots tend to exert a negative impact on fertility in highly industrialised regions, regions with relatively low educated populations and those which are technologically less advanced. At the same time, better educated and prospering regions may even experience fertility improvements as a result of technological change. The family and labour market institutions of the country may further moderate these effects.
Global guidance for local generalization in model checking
Authors: Vediramana Krishnan Hari Govind , Chen YuTing , Shoham Sharon , Gurfinkel Arie 
Published: March 2023

AbstractSMT-based model checkers, especially IC3-style ones, are currently the most effective techniques for verification of infinite state systems. They infer global inductive invariants via local reasoning about a single step of the transition relation of a system, while employing SMT-based procedures, such as interpolation, to mitigate the limitations of local reasoning and allow for better generalization. Unfortunately, these mitigations intertwine model checking with heuristics of the underlying SMT-solver, negatively affecting stability of model checking. In this paper, we propose to tackle the limitations of locality in a systematic manner. We introduce explicit global guidance into the local reasoning performed by IC3-style algorithms. To this end, we extend the SMT-IC3 paradigm with three novel rules, designed to mitigate fundamental sources of failure that stem from locality. We instantiate these rules for Linear Integer Arithmetic and Linear Rational Aritmetic and implement them on top of Spacer solver in Z3. Our empirical results show that GSpacer, Spacer extended with global guidance, is significantly more effective than both Spacer and sole global reasoning, and, furthermore, is insensitive to interpolation.