bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the ecological potential of reservoirs: a principal response curve (PRC) analysis approach
Authors: Cabecinha Edna , Pardal Miguel Â. , Cabral João A. , Monteiro Sandra M. , Cortes Rui , Saavedra Maria J. , Varandas Simone , Van den Brink Paul 
Published: July 2023

AbstractHeavily modified water bodies (HMWB) have been seriously affected by human activities and natural processes promoting their imbalance, and impacting their functioning and biodiversity. This study explores a new approach of monitoring and assessing water quality in Mediterranean reservoirs using phytoplankton communities across a disturbance gradient, according to water framework directive. Phytoplankton and environmental data were sampled in 34 reservoirs over 8 years. Two types of reservoirs were analyzed: Type1 “run-of-river reservoirs” (located in the main rivers, with a low residence time); and Type2 “true reservoirs” (located in tributaries, with high residence time). The transition from deeper and colder reservoirs (reference sites) to shallow and warmer (impaired sites) was clear in Type2, correlated to organic pollution and mineral gradients. Impaired sites from both types showed a higher richness of tolerant taxa. Principal response curve (PRC) provided a concise summary of phytoplankton temporal dynamics and assessed ecosystem health for Mediterranean HMWBs. PRC will provide a powerful tool for environmental quality assessment and be incorporated into monitoring and assessment programs. This approach can help policymakers to manage natural capital to achieve multiple objectives, mainly increasing ecosystem services, and improve readability and interpretation of spatial patterns in temporal changes.
Determination of the Binary Diffusion Coefficients and Interaction Viscosities of the Systems Carbon Dioxide–Nitrogen and Ethane–Methane in the Dilute Gas Phase from Accurate Experimental Viscosity Data Using the Kinetic Theory of Gases
Authors: Vogel Eckhard , Bich Eckard , Hellmann Robert 
Published: July 2023

AbstractThe results of viscosity measurements at moderate densities on the two gaseous mixtures carbon dioxide–nitrogen and ethane–methane including the pure gases between 253.15 K and 473.15 K, originally performed by Humberget al.at Ruhr University Bochum, Germany, using a rotating-cylinder viscometer between 0.1 MPa and 2.0 MPa, were employed to determine the interaction viscosity,$$\eta _{12}^{(0)}$$η12(0), and the product of molar density and diffusion coefficient,$$(\rho D_{12})^{(0)}$$(ρD12)(0), each in the limit of zero density. The isothermal viscosity data were evaluated by those authors with density series restricted to the second order at most to derive the zero-density viscosities and initial density viscosity coefficients,$$\eta _\textrm{mix}^{(0)}$$ηmix(0)and$$\eta _\textrm{mix}^{(1)}$$ηmix(1), for the mixtures, as well as,$$\eta _i^{(0)}$$ηi(0)and$$\eta _i^{(1)}$$ηi(1)($$i=1,2$$i=1,2), respectively, for the pure gases. Humberget al.have already compared their$$\eta _\textrm{mix}^{(0)}$$ηmix(0)and$$\eta _i^{(0)}$$ηi(0)data for carbon dioxide–nitrogen and ethane–methane with corresponding viscosity values theoretically computed for the nonspherical potentials of the intermolecular interaction. Now we employed$$\eta _\textrm{mix}^{(0)}$$ηmix(0)and$$\eta _\textrm{mix}^{(1)}$$ηmix(1)as well as$$\eta _i^{(0)}$$ηi(0)and$$\eta _i^{(1)}$$ηi(1)in two procedures to derive$$\eta _{12}^{(0)}$$η12(0)values. For this, we needed$$A_{12}^*$$A12∗values (ratio between effective cross-sections of viscosity and diffusion). But the second procedure applying the initial density viscosity coefficients$$\eta _\textrm{mix}^{(1)}$$ηmix(1)and$$\eta _i^{(1)}$$ηi(1)failed to yield reasonable$$\eta _{12}^{(0)}$$η12(0)values. The first procedure should provide the best results when it is possible to use$$A_{12}^*$$A12∗values computed for the nonspherical potential. The effect is comparatively small if$$\eta _{12}^{(0)}$$η12(0)is determined. But if$$(\rho D_{12})^{(0)}$$(ρD12)(0)is calculated from$$\eta _{12}^{(0)}$$η12(0)using$$A_{12}^*$$A12∗values for the nonspherical potential, the impact is several percent. Moreover, the experimentally based$$\eta _{12}^{(0)}$$η12(0)and$$(\rho D_{12})^{(0)}$$(ρD12)(0)data agree with theoretically calculated values for the nonspherical potentials.
Assessment interocular symmetry of peripapillary vessel density in young myopes with optical coherence tomographic angiography
Authors: Liu Lin , Deng Man-li , Li Min , Xu Ding , Feng Le , Zou Jun , Wang Fang 
Published: July 2023

Abstract
Purpose
The purpose of our study was to evaluate the interocular symmetry and distribution of peripapillary vessel density in young myopic eyes.

Methods
A cross-sectional observational study was designed. A total of 174 eyes of 87 young myopic patients were recruited in this study. According to spherical equivalent (SE), 48 eyes were classified as mild myopia with a mean SE of − 2.12D (SD 0.66D), 66 as moderate myopia with a mean SE of − 4.50D (SD 0.87D), and 60 as high myopia with a mean SE of − 7.39D (SD 1.30D). Optical coherence tomography angiography (OCTA) was used to measure the vessel density. The distribution and interocular symmetry of peripapillary vessel densities were analyzed.

Results
The vessel densities in the whole image, peripapillary, superior and inferior sectors were significantly lower in the high myopia group than in the mild or moderate myopia group (All P < 0.001), and the density in the nasal sector was significantly lower in the high myopia group than in the mild group. And most interesting, the vessel densities in the inside disc and temporal sector showed no difference among the three myopic groups (All P > 0.05). By Pearson correlation analysis, the vessel densities in the whole image, peripapillary, superior, inferior and nasal sectors were negatively correlated with axial length (AL) and SE (All P < 0.001), but vessel densities in the inside disc and temporal sector did not show this correlation (All P > 0.05). Interocular symmetry was observed in all the vascular parameters through paired-samples t-tests (All P > 0.05), intraclass correlation coefficient (ICC) and Pearson correlation analysis (All P < 0.001).

Conclusion
The density of radial peripapillary capillaries decreased in the myopic eye with axial elongation, and optical vascular parameters showed significant interocular symmetry among young myopic eyes.
Family-Centeredness in Secure Residential Treatment and Its Relationship With Parental Involvement and Adolescent Behavioural Outcomes
Authors: Broekhoven Jorinde L. , Blankestein Annemarieke M. M. M. , van Santvoort Floor , Asscher Jessica J. , van Domburgh Lieke , Simons Inge , Albrecht Gonnie , van der Rijken Rachel E. A. , Rijnhart Judith J. M. , Popma Arne 
Published: July 2023

AbstractVarious Dutch secure residential youth care (SRYC) institutions are implementing a family-centered approach aiming to increase parental involvement and improve treatment outcomes. However, it remains unclear if and how family-centeredness (FC) is related to increased parental involvement and to improved treatment outcomes of adolescents. In this study, we unravelled the relation between FC, parental involvement, and behaviour problems of adolescents in SRYC. Families of 404 adolescents admitted to one of seven participating Dutch SRYC institutions completed a survey (at the start, at the end, and at 6-months follow-up) on problem behaviour of adolescents. In addition, 411 group care workers filled out a questionnaire about their residential group’s level of FC every 6 months. Moreover, the mentor of each adolescent filled out a questionnaire about the level of parental involvement. We analysed the data using multiple mediator models. Associations were found between FC and parental involvement. However, no relation was found between FC and adolescent problem behaviour, and no mediation and no moderation effects of parental involvement were found. Overall, results showed that most parents were involved during the residential stay, and, independent of FC, adolescent problem behaviour decreased over time. Implementing FC in SRYC institutions seems to be helpful in involving parents during the residential stay, but was not found to be associated with adolescent behavioural outcomes. Our results indicate that institutions could improve their level of FC by offering more informal contact moments for parents and by addressing barriers to FC among residential staff.
Biocompatibility analysis and chemical characterization of Mn-doped hydroxyapatite
Authors: Villaseñor-Cerón L. S. , Mendoza-Anaya D. , López-Ortiz S. , Rosales-Ibañez R. , Rodríguez-Martínez J. J. , Reyes-Valderrama M. I. , Rodríguez-Lugo V. 
Published: July 2023

AbstractThe present work studies the effect of Mn doping on the crystalline structure of the Hap synthesized by the hydrothermal method at 200 °C for 24 h, from Ca(OH)2 and (NH4)2HPO4, incorporating MnCl2 to 0.1, 0.5, 1.0, 1.5 and 2.0 %wt of Mn concentrations. Samples were characterized by the X-Ray Diffraction technique, which revealed the diffraction peaks that corresponded to the hexagonal and monoclinic phase of the Hap; it was observed that the average size of crystallite decreased from 23.67 to 22.69 nm as the concentration of Mn increased. TEM shows that in all samples, there are two distributions of particle sizes; one corresponds to nanorods with several tens of nanometers in length, and the other in which the diameter and length are very close. FTIR analysis revealed absorption bands corresponding to the PO4−3 and OH− groups characteristic of the Hap. It was possible to establish a substitution mechanism between the Mn and the ions of Ca+2 of the Hap. From the Alamar blue test, a cell viability of 86.88% ± 5 corresponding to the sample of Hap at 1.5 %wt Mn was obtained, considered non-cytotoxic according to ISO 10993-5. It also evaluated and demonstrated the good osteoinductive properties of the materials, which were verified by histology and immunofluorescence expression of osteogenic markers. Adhesion, viability, biocompatibility and osteoinductive properties, make these materials candidates for future applications in bone tissue engineering with likely uses in regenerative medicine.
Graphical Abstract
Evidence of a two-factor structure for Internet Gaming Disorder and Social Media Disorder: Psychometric properties of a new screening instrument for adolescents and adults
Authors: Burén Jonas , Nutley Sissela B , Crisci Giulia , Thorell Lisa B 
Published: July 2023

AbstractCurrently, there is no screening instrument available for assessing both internet gaming disorder (IGD) and social media disorder (SMD). This study aimed to examine the reliability and factor structure of a new screening instrument for adolescents and adults, the Gaming and Social Media Questionnaire (GSMQ-9), and to investigate its association with psychosocial outcomes (i.e., psychosomatic problems, self-concept, and social problems for adults and quality of life for adolescents). Survey data were collected from 995 university students and 626 adolescents. Results showed that a two-factor solution, representing Heavy Involvement and Negative Consequences, had a better model fit compared to a one-factor solution for both IGD and SMD and for both adolescents and adults. The internal consistency was acceptable, and the test-retest reliability was excellent. Negative Consequences were significantly more strongly related to all psychosocial outcomes compared to Heavy Involvement. The proportion of participants meeting the DSM-5 symptom criteria according to self-ratings on the GSMQ-9 was 1.4% (adolescents) and 1.8% (adults) for IGD and 2.6% (adolescents) and 4.0% (adults) for SMD. Conclusively, the GSMQ-9 appears to be a reliable two-factor screening instrument for IGD and SMD among adults and adolescents.
Evaluating COVID-19 Risk to Essential Workers by Occupational Group: A Case Study in Massachusetts
Authors: Haley Beth M. , Patil Prasad , Levy Jonathan I. , Spangler Keith R. , Tieskens Koen F. , Carnes Fei , Peng Xiaojing , Klevens R. Monina , Troppy T. Scott , Fabian M. Patricia , Lane Kevin J. , Leibler Jessica H. 
Published: July 2023

AbstractOccupational exposure to SARS-CoV-2 varies by profession, but “essential workers” are often considered in aggregate in COVID-19 models. This aggregation complicates efforts to understand risks to specific types of workers or industries and target interventions, specifically towards non-healthcare workers. We used census tract-resolution American Community Survey data to develop novel essential worker categories among the occupations designated as COVID-19 Essential Services in Massachusetts. Census tract-resolution COVID-19 cases and deaths were provided by the Massachusetts Department of Public Health. We evaluated the association between essential worker categories and cases and deaths over two phases of the pandemic from March 2020 to February 2021 using adjusted mixed-effects negative binomial regression, controlling for other sociodemographic risk factors. We observed elevated COVID-19 case incidence in census tracts in the highest tertile of workers in construction/transportation/buildings maintenance (Phase 1: IRR 1.32 [95% CI 1.22, 1.42]; Phase 2: IRR: 1.19 [1.13, 1.25]), production (Phase 1: IRR: 1.23 [1.15, 1.33]; Phase 2: 1.18 [1.12, 1.24]), and public-facing sales and services occupations (Phase 1: IRR: 1.14 [1.07, 1.21]; Phase 2: IRR: 1.10 [1.06, 1.15]). We found reduced case incidence associated with greater percentage of essential workers able to work from home (Phase 1: IRR: 0.85 [0.78, 0.94]; Phase 2: IRR: 0.83 [0.77, 0.88]). Similar trends exist in the associations between essential worker categories and deaths, though attenuated. Estimating industry-specific risk for essential workers is important in targeting interventions for COVID-19 and other diseases and our categories provide a reproducible and straightforward way to support such efforts.
Characterization of Core–Shell CaFe1.925Sm0.05Gd0.025O4 @ Polymer from Synthesis to Applications
Authors: Ateia Ebtesam E. , Saeid Y. A. 
Published: July 2023

AbstractA novel core/shell nanoferrite material has been developed for use in various potential applications. Rare-earth doped calcium-ferrite with the compositional formula$$\text{Ca}{\text{Fe}}_{1.925}{\text{Sm}}_{0.05}{\text{Gd}}_{0.025}{\text O}_4$$CaFe1.925Sm0.05Gd0.025O4 was prepared as a core using the citrate auto-combustion method before being coated with PVA as a polymeric shell. High crystalline and single-phase orthorhombic nanoparticles are confirmed by XR-D (X-ray diffraction). An estimate has been made for the mean size of the crystal structures by analyzing the broadening of XR-D lines within a range of 20 nanometers. HR-TEM (high-resolution tunnelling electron microscope) micrographs also showed that the particles had an orthorhombic shape with well-defined boundaries. EDX (energy-dispersive X-ray) and FT-IR were used to investigate the elemental constitution and the molecular structure of samples. The dielectric properties were discussed in the basics of interfacial polarization and Koop`s model. The anti-ferromagnetic nature of the samples was identified by a VSM (vibrating sample magnetometer). The proposed composition was found to improve the electromagnetic absorption performance, which was confirmed with the measurements of optical parameters from the absorbance spectrum recorded by the UV–VIS–NIR spectroscope. The optical band-gap and Urbach energies of the synthesized samples have been investigated, in addition to the refractive index and the extinction coefficient. The Wemple-DiDomenico oscillator model was used to examine the dispersion energies.
Frequency of Private Prayer Predicts Survival Over 6 Years in a Nationwide U.S. Sample of Individuals with a Chronic Illness
Authors: Ironson Gail , Ahmad Salman Shaheen 
Published: July 2023

AbstractPrayer is central to religious/spiritual life, and there are many claims for its effectiveness. However, few studies have examined whether frequency of prayer predicts survival in people with a chronic illness. This study follows a nationwide United States sample of people with a chronic illness (N = 1931) from 2014 to 2020. Those who prayed on a daily basis or more were significantly more likely to survive over 6 years (Hazard Ratio = 1.48; 95% Confidence Intervals: 1.08–2.03) compared with those who prayed less often, after controlling for biomedical variables (age, medical symptoms), sociodemographics (sex, race, and education), psychosocial variables (depression, social support), and health behaviors (alcohol use, smoking, exercise, and body mass index/weight).
On the Provable Contradictions of the Connexive Logics C and C3
Authors: Niki Satoru , Wansing Heinrich 
Published: July 2023

AbstractDespite the tendency to be otherwise, some non-classical logics are known to validate formulas that are invalid in classical logic. A subclass of such systems even possesses pairs of a formula and its negation as theorems, without becoming trivial. How should these provable contradictions be understood? The present paper aims to shed light on aspects of this phenomenon by taking as samples the constructive connexive logic C, which is obtained by a simple modification of a system of constructible falsity, namely N4, as well as its non-constructive extension C3. For these systems, various observations concerning provable contradictions are made, using mainly a proof-theoretic approach. The topics covered in this paper include: how new contradictions are found from parts of provable contradictions; how to characterise provable contradictions in C3 that are constructive; how contradictions can be seen from the relative viewpoint of strong implication; and as an appendix an attempt at generating provable contradictions in C3.
Group Well Child Care for Mothers with Opioid Use Disorder: Framework for Implementation
Authors: Goyal Neera , Gannon Meghan , Sood Erica , Harris Grace , Franko Elizabeth , Abatemarco Diane J. , Hand Dennis J. , Leib Susan , Short Vanessa L. 
Published: July 2023

Abstract
Objective
For parents with opioid use disorder (OUD) and their children, group well child care (WCC) is an under-studied intervention that may reduce stigma, increase quality of care, and improve clinical outcomes. We explored barriers and facilitators to this intervention using an implementation science framework.

Methods
A qualitative study was conducted from October 2020–March 2021 as part of the planning phase of a cluster-randomized trial of group WCC. Parent participants were recruited from one urban, university-affiliated OUD treatment center to participate in semi-structured telephone interviews. Eligible parents had a child under two years old and were English speaking. Clinician participants were recruited from a nearby pediatric primary care practice. Inductive thematic analysis of interview responses was led by two investigators using open coding procedures.

Results
Thirty-one parents and thirteen pediatric clinicians participated in the interviews. Most parents (68%) reported that they would be likely or very likely to bring their child to the OUD treatment center for WCC. Six themes emerged describing perceived implementation barriers, including intervention difficulty, complexity, and potential negative outcomes such as loss of privacy. Six themes emerged as implementation facilitators: (1) focus on parental OUD and recovery, (2) peer support, (3) accessibility and coordination of care, (4) clinician skill and expertise in parental OUD, (5) increased time for patient care, and (6) continuity of care.

Conclusions for Practice
Parents and clinicians expressed multiple perceived benefits of this intervention. Identified barriers and facilitators will inform implementation and evaluation of group WCC within one OUD treatment program.
An overview of ensemble and feature learning in few-shot image classification using siamese networks
Authors: Valero-Mas Jose J. , Gallego Antonio Javier , Rico-Juan Juan Ramón 
Published: July 2023

AbstractSiamese Neural Networks (SNNs) constitute one of the most representative approaches for addressing Few-Shot Image Classification. These schemes comprise a set of Convolutional Neural Network (CNN) models whose weights are shared across the network, which results in fewer parameters to train and less tendency to overfit. This fact eventually leads to better convergence capabilities than standard neural models when considering scarce amounts of data. Based on a contrastive principle, the SNN scheme jointly trains these inner CNN models to map the input image data to an embedded representation that may be later exploited for the recognition process. However, in spite of their extensive use in the related literature, the representation capabilities of SNN schemes have neither been thoroughly assessed nor combined with other strategies for boosting their classification performance. Within this context, this work experimentally studies the capabilities of SNN architectures for obtaining a suitable embedded representation in scenarios with a severe data scarcity, assesses the use of train data augmentation for improving the feature learning process, introduces the use of transfer learning techniques for further exploiting the embedded representations obtained by the model, and uses test data augmentation for boosting the performance capabilities of the SNN scheme by mimicking an ensemble learning process. The results obtained with different image corpora report that the combination of the commented techniques achieves classification rates ranging from 69% to 78% with just 5 to 20 prototypes per class whereas the CNN baseline considered is unable to converge. Furthermore, upon the convergence of the baseline model with the sufficient amount of data, still the adequate use of the studied techniques improves the accuracy in figures from 4% to 9%.
Towards spatio-temporal crime events prediction
Authors: Alghamdi Jawaher , Al-Dala’in Thair 
Published: July 2023

AbstractThe importance of early prediction in reducing the impact of crime cannot be overstated. Machine learning algorithms have proven to be effective in this regard, but their inability to capture key features automatically can be a hindrance. To overcome this challenge, we propose a deep neural network model that is capable of extracting salient features automatically for predicting crime categories using real-world crime data sourced from the Chicago open data portal. To ensure the robustness of our proposed model, we carried out an extensive exploratory data analysis to determine the impact of socioeconomic indicators on crime occurrences. Additionally, we implemented a data upsampling technique to handle class imbalance issues, and we leveraged hyperparameter optimization algorithms to fine-tune the model. The results of our study were impressive. Our proposed model outperformed the baseline model and other algorithms, with an average improvement of 6% in macro F1 score. This suggests that our model is highly effective, if not superior, in predicting crime categories accurately. Overall, our study provides a solid framework for using deep neural network models in crime prediction, while highlighting the importance of automatic feature extraction in enhancing the accuracy of predictions. By reducing the impact of crime through early prediction, we can help to create a safer and more secure society.