bluuebunny/crossref_metadata_2025_split huggingface dataset:
Youth Sensitivity in a Pandemic: The Relationship Between Sensory Processing Sensitivity, Internalizing Problems, COVID-19 and Parenting
Authors: Burgard Selina S. C. , Liber Juliëtte M. , Geurts Suzanne M. , Koning Ina M. 
Published: April 2022

AbstractThe personality trait sensory processing sensitivity (SPS) is an established risk factor for the development of internalizing problems. Highly sensitive adolescents react stronger to environmental cues including parenting environment and stressful life events. The aim of the current study was to examine if the perceived impact of COVID-19, mediates the link between SPS and internalizing problems. In addition, it was tested if parenting style moderates the mediating effect of perceived COVID-19 impact between SPS and internalizing problems among adolescents. The study had a cross- sectional design and data were collected between April-July 2020 during the first lockdown in the Netherlands. Participants were 404 adolescents aged 9–18 years (Mage = 13.49). Questionnaires were administered online to assess SPS (Highly Sensitive Child Scale), parenting style (Parenting Style Inventory-II), internalizing problems (Patient Health Questionnaire-4) and COVID-19 pandemic impact (COVID-19 impact scale). The SPSS macro PROCESS was used to test the mediation model of perceived COVID-19 impact and the moderated mediation model with parenting style as a moderator. A relationship was found between SPS and internalizing problems which is partly mediated by the COVID-19 impact. The moderating effect of parenting style was not found. These findings provide insight into the effect the pandemic has had on highly sensitive adolescents. Further research is needed to develop and test interventions to support sensitive youth and thus possibly prevent the development of internalizing problems.
On the Reconstruction of 3-Uniform Hypergraphs from Degree Sequences of Span-Two
Authors: Palma Giulia , Frosini Andrea , Rinaldi Simone 
Published: April 2022

AbstractA nonnegative integer sequence is k-graphic if it is the degree sequence of a k-uniform simple hypergraph. The problem of deciding whether a given sequence $$\pi $$
π
is 3-graphic has recently been proved to be NP-complete, after years of studies. Thus, it acquires primary relevance to detect classes of degree sequences whose graphicality can be tested in polynomial time in order to restrict the NP-hard core of the problem and design algorithms that can also be useful in different research areas. Several necessary and few sufficient conditions for $$\pi $$
π
to be k-graphic, with $$k\ge 3$$

k
≥
3

, appear in the literature. Frosini et al. defined a polynomial time algorithm to reconstruct k-uniform hypergraphs having regular or almost regular degree sequences. Our study fits in this research line providing a combinatorial characterization of span-two sequences, i.e., sequences of the form $$\pi =(d,\ldots ,d,d-1,\ldots ,d-1,d-2,\ldots ,d-2)$$

π
=
(
d
,
…
,
d
,
d
-
1
,
…
,
d
-
1
,
d
-
2
,
…
,
d
-
2
)

, $$d\ge 2$$

d
≥
2

, which are degree sequences of some 3-uniform hypergraphs. Then, we define a polynomial time algorithm to reconstruct one of the related 3-uniform hypergraphs. Our results are likely to be easily generalized to $$k \ge 4$$

k
≥
4

and to other families of degree sequences having simple characterization, such as gap-free sequences.
Fundamental and practical aspects of machine learning for the peak picking of biomolecular NMR spectra
Authors: Li Da-Wei , Hansen Alexandar L. , Bruschweiler-Li Lei , Yuan Chunhua , Brüschweiler Rafael 
Published: April 2022

AbstractRapid progress in machine learning offers new opportunities for the automated analysis of multidimensional NMR spectra ranging from protein NMR to metabolomics applications. Most recently, it has been demonstrated how deep neural networks (DNN) designed for spectral peak picking are capable of deconvoluting highly crowded NMR spectra rivaling the facilities of human experts. Superior DNN-based peak picking is one of a series of critical steps during NMR spectral processing, analysis, and interpretation where machine learning is expected to have a major impact. In this perspective, we lay out some of the unique strengths as well as challenges of machine learning approaches in this new era of automated NMR spectral analysis. Such a discussion seems timely and should help define common goals for the NMR community, the sharing of software tools, standardization of protocols, and calibrate expectations. It will also help prepare for an NMR future where machine learning and artificial intelligence tools will be common place.
Coupling Adsorption-Photocatalytic Degradation of Methylene Blue and Maxilon Red
Authors: Farouq Rania 
Published: April 2022

AbstractThe MB and MR removal process by two mechanisms of adsorption using rice straw (absence of UV light) and photodegradation on TiO2 surfaces was investigated. MB and MR removal efficiency were further intensified upon the sequential operation of adsorption followed by photocatalytic degradation over TiO2 under visible light irradiation. The TiO2 was used to remove methylene blue (MB) and Maxilon Red (MR) dye from aqueous media by continuous mode at 25 ± 2 °C, at pH 6.8 ± 0.2. Photo-illumination study revealed 75.81 and 65.51% MB and MR removal with the dose of 1 g/L TiO2 with an initial concentration of 5 mg/L within 120 min. This study can be deemed of potential applications for the removal of MB and MR dyes on an industrial level using the synergistic adsorption-photocatalytic oxidation approach. A probable photodegradation mechanism was proposed.
A Scalable Space-Time Domain Decomposition Approach for Solving Large Scale Nonlinear Regularized Inverse Ill Posed Problems in 4D Variational Data Assimilation
Authors: D’Amore Luisa , Constantinescu Emil , Carracciuolo Luisa 
Published: April 2022

AbstractWe address the development of innovative algorithms designed to solve the strong-constraint Four Dimensional Variational Data Assimilation (4DVar DA) problems in large scale applications. We present a space-time decomposition approach which employs the whole domain decomposition, i.e. both along the spacial and temporal direction in the overlapping case, and the partitioning of both the solution and the operator. Starting from the global functional defined on the entire domain, we get to a sort of regularized local functionals on the set of sub domains providing the order reduction of both the predictive and the Data Assimilation models. The algorithm convergence is developed. Performance in terms of reduction of time complexity and algorithmic scalability is discussed on the Shallow Water Equations on the sphere. The number of state variables in the model, the number of observations in an assimilation cycle, as well as numerical parameters as the discretization step in time and in space domain are defined on the basis of discretization grid used by data available at repository Ocean Synthesis/Reanalysis Directory of Hamburg University.
Recyclable and Biodegradable Ag@Chitosan Nanocomposite Beads Synthesized in One-step for Catalytic Hydrogenation of 4-Nitrophenol
Authors: Ali Heba , Ismail A. M. 
Published: April 2022

AbstractThe study presents the in-situ synthesis of recyclable bio-nanocomposite beads based on chitosan (Cs) and silver (Ag) nanoparticles for utilization in catalytic processes. For the first time, alkaline ethanol solution was used as a physical crosslinking and reducing agent to synthesize cross-linked Ag@Cs biocomposite hydro-gel beads in one-step. The catalytic activity of the prepared beads was evaluated before and after the integration of various Ag contents through hydrogenation of toxic nitrophenol to amino-phenol, as a safer configuration. XRD, SEM, EDX, BET, UV-Vis, HRTEM, FT-IR, and TGA analyses were used to characterize the resulted samples. XRD, EDX, and optical measurements confirmed the successful immobilization of Ag into Cs beads. The grown Ag atoms are well dispersed in the Cs, with an average diameter of around 6.7 nm, according to HRTEM. Because of the synergistic effect of Ag sensitization and large surface area, the optumium Ag@Cs composite beads have high catalytic activity with a kinetic rate constant of 0.143 min− 1, compared to 0.0001 min− 1 for pure Cs beads. Furthermore, regeneration studies were performed to ensure its catalytic stability in the removal of nitrophenol. Finally, the mechanism of Ag@Cs biocomposite hydrogel beads fabrication in a single pot was thoroughly discussed.
On Some Distributional Properties of Subordinated Gaussian Random Fields
Authors: Merkle Robin , Barth Andrea 
Published: April 2022

AbstractMotivated by the subordinated Brownian motion, we define a new class of (in general discontinuous) random fields on higher-dimensional parameter domains: the subordinated Gaussian random field. We investigate the pointwise marginal distribution of the constructed random fields, derive a Lévy-Khinchin-type formula and semi-explicit formulas for the covariance function. Further, we study the pointwise stochastic regularity and present various numerical examples.
A meta-indexing method for fast probably approximately correct nearest neighbor searches
Authors: Santini Simone 
Published: April 2022

AbstractIn this paper we present an indexing method for probably approximately correct nearest neighbor queries in high dimensional spaces capable of improving the performance of any index whose performance degrades with the increased dimensionality of the query space. The basic idea of the method is quite simple: we use SVD to concentrate the variance of the inter-element distance in a lower dimensional space, Ξ. We do a nearest neighbor query in this space and then we “peek” forward from the nearest neighbor by gathering all the elements whose distance from the query is less than $d_{\Xi }(1+\zeta \sigma _{\Xi }^{2})$

d

Ξ

(
1
+
ζ

σ

Ξ

2

)
, where dΞ is the distance from the nearest neighbor in Ξ, $\sigma _{\Xi }^{2}$

σ

Ξ

2

is the variance of the data in Ξ, and ζ a parameter. All the data thus collected form a tentative set T, in which we do a scan using the complete feature space to find the point closest to the query. The advantages of the method are that (1) it can be built on top of virtually any indexing method and (2) we can build a model of the distribution of the error precise enough to allow designing a compromise between error and speed. We show the improvement that we can obtain using data from the SUN data base.
Data fitting with signomial programming compatible difference of convex functions
Authors: Karcher Cody J. 
Published: April 2022

AbstractSignomial Programming (SP) has proven to be a powerful tool for engineering design optimization, striking a balance between the computational efficiency of Geometric Programming (GP) and the extensibility of more general methods for optimization. While techniques exist for fitting GP compatible models to data, no models have been proposed that take advantage of the increased modeling flexibility available in SP. Here, a new Difference of Softmax Affine function is constructed by utilizing existing methods of GP compatible fitting in Difference of Convex (DC) functions. This new function class is fit to data in log–log space and becomes either a signomial or a set of signomials upon inverse transformation. Examples presented here include simple test cases in 1D and 2D, and a fit to the performance data of the NACA 24xx family of airfoils. In each case, RMS error is driven to less than 1%.
Distance measurement by delayed optical feedback in a ring laser
Authors: Lombardi L. , Annovazzi-Lodi V. , Aromataris G. , Scirè A. 
Published: April 2022

AbstractWe numerically study the behavior of a semiconductor ring laser subject to bidirectional delayed optical feedback, when the isolated laser is in the quasi-unidirectional regime. The optical feedback, provided by two external reflectors located in front of the ring output waveguides, can modify the laser regime produced by the cross-saturation between the clockwise and the counter-clockwise mode. Thus, the system exhibits new different regimes, most of which are asymmetric and bidirectional, with alternating dominant mode. Two of these regimes are of special interest in view of applications, because the laser switching period, between the clockwise and the counter-clockwise mode, is linearly related to the time of flight from the laser to one or both reflectors. In these operating conditions, the laser is thus suitable to implement a telemeter. A convenient electrical output signal is obtained by a photodiode located behind one (partially reflecting) fixed mirror, or by measuring the voltage drop across the laser junction. Simulations are performed by mathematical models based on rate-equations, assuming typical literature parameters for a 1 mW ring laser.
A Novel Faster-Acting, Dry Powder-Based, Naloxone Intranasal Formulation for Opioid Overdose
Authors: Lapidot Tair , Bouhajib Mohammed , Faulknor Janice , Khan Shabaz , Krayz Galia Temtsin , Abrutzky Carolina , Megiddo Dalia 
Published: April 2022

Abstract
Objective
To examine the pharmacokinetics and safety of FMXIN001, a new intranasal powder-based naloxone formulation, in comparison to Narcan® nasal liquid spray.

Methods
FMXIN001, was developed by blending drug microspheres with larger lactose monohydrate particles, that serve as diluent and carrier, as well as a disaggregating agent. Scanning electron microscopy and X-ray were used to characterize the formulation and in vitro deposition was investigated using a nasal cast.
We compared the pharmacokinetics and safety of FMXIN001 versus Narcan® in two clinical trials: a pilot study with 14 healthy adults and a pivotal trial in 42 healthy adults (NCT04713709). The studies were open-label, single-dose, randomized, two-period, two-treatment, two-sequence crossover studies to assess the pharmacokinetics and safety of FMXIN001 versus Narcan® nasal spray.

Results
FMXIN001 comprises naloxone microspheres (5-30 μM) and lactose particles (40–240 μM). Upon in vitro testing, naloxone deposits mainly to the middle turbinates region and the upper part of the nasal cavity of a nasal cast. In human subjects, FMXIN001 produced significantly higher exposure at the initial time points of 4, 10, and 30 min, post-administration, compared to Narcan®. Both treatments were safe and well tolerated. FMXIN001, powder-based spray, results in similar overall exposure to Narcan®, but with more rapid absorption in the first 30 min.

Conclusions
FMXIN001 is expected to have a shorter onset of action for a more effective therapeutic intervention to manage opioid overdose. Rapid administration of naloxone in cases of opioid overdose is imperative, given the alarming increase in mortality rates.
A Modal View on Resource-Bounded Propositional Logics
Authors: Pardo Pere 
Published: April 2022

AbstractClassical propositional logic plays a prominent role in industrial applications, and yet the complexity of this logic is presumed to be non-feasible. Tractable systems such as depth-bounded boolean logics approximate classical logic and can be seen as a model for resource-bounded agents whose reasoning style is nonetheless classical. In this paper we first study a hierarchy of tractable logics that is not defined by depth. Then we extend it into a modal logic where modalities make explicit the assumptions discharged in propositional proofs, thereby expressing blueprints for proofs. A natural deduction system is provided that permits to reason about and manage such proof blueprints.
Lightweight and heavyweight anti-physicalism
Authors: Aleksiev Damian 
Published: April 2022

AbstractI define two metaphysical positions that anti-physicalists can take in response to Jonathan Schaffer’s ground functionalism. Ground functionalism is a version of physicalism where explanatory gaps are everywhere. If ground functionalism is true, arguments against physicalism based on the explanatory gap between the physical and experiential facts fail. In response, first, I argue that some anti-physicalists are already safe from Schaffer’s challenge. These anti-physicalists reject an underlying assumption of ground functionalism: the assumption that macrophysical entities are something over and above the fundamental entities. I call their position “lightweight anti-physicalism.” Second, I go on to argue that even if anti-physicalists accept Schaffer’s underlying assumption, they can still argue that the consciousness explanatory gap is especially mysterious and thus requires a special explanation. I call the resulting position “heavyweight anti-physicalism.” In both cases, the consciousness explanatory gap is a good way to argue against physicalism.
Investigating the Influence of Friction and Material Wear on Triboelectric Charge Transfer in Metal–Polymer Contacts
Authors: Armitage J. L. , Ghanbarzadeh A. , Bryant M. G. , Neville A. 
Published: April 2022

AbstractA reciprocating tribometer has been modified with a high-impedance electronic measurement circuit for the purpose of addressing the question of how tribology influences triboelectric charging. This measurement circuit allows for the accurate measurement of potential difference, induced current, and total triboelectric charge generated within the tribometer contact. These electronic properties can now be effectively compared with tribological parameters such as contact force, relative sample velocity, and friction coefficient ($$\mu$$
μ
) for varying contacts. In this study we present our apparatus, alongside our findings regarding the influence of material wear mechanisms and friction on the accumulation and dissipation of triboelectric contact charges.
Tweeting in the ‘Expert Bubble’: Social Media Engagement of German Private Environmental Foundations
Authors: Selivanova Galina 
Published: April 2022

AbstractThis paper explores Twitter adoption and social media engagement of private German environmental foundations. The study follows Lovejoy and Saxton’s (2012) approach to the hierarchy of social media engagement. It demonstrates the domination of an information provision role on Twitter and the almost equal relevance of action mobilizations and community building posts. At the same time, the study supplements the existing typology with the additional dimension of communication partners addressed in each type of tweet. Finally, using data from interviews, the study interprets and explains the role of social media tweets and patterns of engagement with different groups. In-depth analysis of tweets and interviews with the foundation representatives confirmed a limited use of social media as a means for dialogue and community development. Simultaneously, analysis shows that tweets posted by foundations predominantly address a professional community of other civil society actors, experts and politicians, creating an online expert bubble. Interviews confirmed that such online connections mirror offline cooperation networks that are perceived to be more important for successful communication and project development by the investigated organizations.
The dilemma of routine testing for calcitonin thyroid nodule’s patients to detect or exclude medullary carcinoma: one single negative test should be valuable as rule-out strategy to avoid further calcitonin measurements over time
Authors: Trimboli Pierpaolo , Camponovo Chiara , Ruinelli Lorenzo 
Published: April 2022

Abstract
Purpose
While calcitonin (CT) measurement is recognized as the most accurate tool to diagnose medullary thyroid carcinoma (MTC), its routine use in patients with thyroid nodule (TN) is not universally accepted. The present study raised the question whether a TN patient with an initial normal CT can have suspicious CT levels (i.e., at least >20 pg/ml) later during his follow-up.

Methods
The historical database of our institution was searched to select TN patients undergone multiple CT tests, having an initial normal CT, and clinically followed up for years. The event of a CT above 20 pg/ml (mild-to-moderate suspicion) and 100 pg/ml (high suspicion) was searched in the follow-up of the included patients.

Results
According to the study design, the study sample encompassed 170 patients (131 female, 39 male) with initial CT value ≤10 pg/ml. On the first CT test, patients were 54.8 years and median CT was 2.1 pg/ml in both females and males. Over a period of 14.5 years and a median clinical follow-up of patients of 53.0 (23.9–102.5) months, MTC could be excluded by histology or cytology in 109 (64%) and clinically in the remaining ones. On the follow-up over time, no patients had CT >20 pg/ml and only two cases had CT just above 10 pg/ml.

Conclusion
According to the present results, one single CT testing with normal value could be reasonably used as a rule-out strategy in patients with TN to avoid further CT measurements.
Ruimte voor ontmoeting
Authors: Bussemaker M. , ’S Jongers Tim , Schot Evert J. J. , Joosten Milou 
Published: April 2022

SamenvattingIn het Nederlandse zorgbeleid staat een beweging naar meer zorg ‘thuis’ centraal. Daarbij is er echter weinig aandacht voor een goede thuisomgeving. Terwijl juist de leefomgeving van groot belang is voor gezondheid en welzijn. In een gezamenlijk adviestraject pleiten de Raad voor Volksgezondheid & Samenleving en het Atelier Rijksbouwmeester voor meer aandacht voor de sociale waarde van de leefomgeving door het faciliteren van ontmoeting en onderlinge verbondenheid. Dat is wel een weerbarstige opgave: ontmoeting laat zich niet zomaar ‘sturen’ of ‘ontwerpen’. Toch zien we een rol voor nationale en lokale overheden: door betere verbindingen te maken met andere beleidsopgaven en door de kracht van de verbeelding te benutten bij het vormgeven van ruimte voor ontmoeting en het proces daarnaartoe. In een gezamenlijk adviestraject werken we dit thema komend jaar verder uit.
Regionale verschillen in zorgkosten nader verklaard
Authors: Meisters Rachelle , Westra Daan , Putrik Polina , Bosma Hans , Ruwaard Dirk , Jansen Maria 
Published: April 2022

SamenvattingZorgkosten nemen toe en variëren sterk tussen Nederlandse regio’s. Het verklaren van deze regionale verschillen kan beleidsmakers helpen om gericht te interveniëren en verdere stijgingen in zorgkosten te beperken. Bij het verklaren van regionale verschillen in zorgkosten wordt veelal gekeken naar regionale verschillen in demografische opbouw en sociaaleconomische status (SES). Gezondheid, leefstijl, eenzaamheid en zelfregie zouden echter ook met zorgkosten samenhangen. Daarom analyseert dit onderzoek, naast demografie en SES, wat gezondheid, leefstijl (BMI, alcoholconsumptie, roken en bewegen), eenzaamheid en zelfregie bijdragen aan de verklaring van regionale verschillen in zorgkosten. We analyseren gekoppelde data van de GGD, het CBS, het RIVM en Vektis (n = 334.721) met Poisson- en zero-inflated binomial regressies. Uit de resultaten blijkt dat gezondheid, leefstijl, eenzaamheid en zelfregie op verschillende wijzen bijdragen aan het verklaren van regionale verschillen in de diverse kostensoorten. Voor huisartsconsultkosten houden regionale verschillen na inclusie van alle verklarende factoren stand. De regionale verschillen wat betreft geestelijke gezondheidszorg-, farmacie- en medisch specialistische kosten komen minder vaak voor dan voor huisartsconsultkosten, en kunnen deels worden verklaard door leefstijl, eenzaamheid en zelfregie. Voor totale zorgkosten kunnen regionale verschillen grotendeels verklaard worden door gezondheid en leefstijl. Leefstijl, eenzaamheid en zelfregie kunnen beleidsmatige aanknopingspunten bieden om verdere stijgingen in zorgkosten tegen te gaan. In dit artikel is de regio Zuid-Limburg de referentieregio. Met de Regiovergelijker gezondheid en zorgkosten kunnen alle regio’s als referentieregio worden gekozen.