bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Validation of the Adolescent and Children in Risk of Abuse and Maltreatment Protective Factors Scale (ACRAM-PFS)
Authors: García-Mollá Adrián , Carbonell Ángela , Navarro-Pérez José Javier , Tomás José M. 
Published: January 2023

Abstract
Background

Child maltreatment is a significant global problem concerning over 25% of children around the world. Traditionally, the assessment of children’s welfare was characterized by the creation of instruments and models from the deficit-based theoretical framework.

Purpose
This study aims to develop an instrument to measure protective factors (the Adolescent and Children Risk of Abuse and Maltreatment Protective Factors Scale, ACRAM-PFS) and gather evidence on its psychometric properties. ACRAM-PFS is an 18-items scale for the assessment of protective factors of child maltreatment developed from the socioecological framework.

Method
Structural validity, reliability and convergent-related validity were studied for this measure in a sample of 616 children and adolescents, with age ranging from 0 to 18 years old (M = 12.14; SD = 5.22). Cases were informed by 286 child welfare workers. The sample was split in two subsamples, one to perform an Exploratory Factor Analysis (EFA) and the second to perform a Confirmatory Factor Analysis (CFA).

Results
The CFA corroborate the three-factor structure that includes the children and adolescents’ resources, the family/caregiver’s resources and the community resources (χ2 = 278.005, df = 132, p < .001, CFI = 0.955, SRMR = .084, RMSEA = .061, [90% CI: .051-.071]). Results of convergent-related validity indicated significant correlation with CTQ-SF and protective factors dimension of C-CAPS.

Discussion
The results support that ACRAM-PFS is a rigorous measure for assessing protective factors for child maltreatment. The scale can serve as a key tool for designing strengths-based intervention strategies tailored to the actual needs of children and adolescents. The present study provides the implications for the development of protective factor scales in the field of child welfare.
Decrease of cancer diagnosis during COVID-19 pandemic: a systematic review and meta-analysis
Authors: Angelini Marco , Teglia Federica , Astolfi Laura , Casolari Giulia , Boffetta Paolo 
Published: January 2023

AbstractMany health services, including cancer care, have been affected by the COVID-19 epidemic. This study aimed at providing a systematic review of the impact of the epidemic on cancer diagnostic tests and diagnosis worldwide. In our systematic review and meta-analysis, databases such as Pubmed, Proquest and Scopus were searched comprehensively for articles published between January 1st, 2020 and December 12th, 2021. Observational studies and articles that reported data from single clinics and population registries comparing the number of cancer diagnostic tests and/or diagnosis performed before and during the pandemic, were included. Two pairs of independent reviewers extracted data from the selected studies. The weighted average of the percentage variation was calculated and compared between pandemic and pre-pandemic periods. Stratified analysis was performed by geographic area, time interval and study setting. The review was registered on PROSPERO (ID: CRD42022314314). The review comprised 61 articles, whose results referred to the period January–October 2020. We found an overall decrease of − 37.3% for diagnostic tests and − 27.0% for cancer diagnosis during the pandemic. For both outcomes we identified a U-shaped temporal trend, with an almost complete recovery for the number of cancer diagnosis after May 2020. We also analyzed differences by geographic area and screening setting. We provided a summary estimate of the decrease in cancer diagnosis and diagnostic tests, during the first phase of the COVID-19 pandemic. The delay in cancer diagnosis could lead to an increase in the number of avoidable cancer deaths. Further research is needed to assess the impact of the pandemic measures on cancer treatment and mortality.
Analysis of the compressible, isotropic, neo-Hookean hyperelastic model
Authors: Kossa Attila , Valentine Megan T. , McMeeking Robert M. 
Published: January 2023

AbstractThe most widely-used representation of the compressible, isotropic, neo-Hookean hyperelastic model is considered in this paper. The version under investigation is that which is implemented in the commercial finite element software ABAQUS, ANSYS and COMSOL. Transverse stretch solutions are obtained for the following homogeneous deformations: uniaxial loading, equibiaxial loading in plane stress, and uniaxial loading in plane strain. The ground-state Poisson’s ratio is used to parameterize the constitutive model, and stress solutions are computed numerically for the physically permitted range of its values. Despite its broad application to a number of engineering problems, the physical limitations of the model, particularly in the small to moderate stretch regimes, are not explored. In this work, we describe and analyze results and make some critical observations, underlining the model’s advantages and limitations. For example, a snap-back feature of the transverse stretch is identified in uniaxial compression, a physically undesirable behavior unless validated by experimental data. The domain of this non-unique solution is determined in terms of the ground-state Poisson’s ratio and the state of stretch and stress. The analyses we perform are essential to enable the understanding of the characteristics of the standard, compressible, isotropic, neo-Hookean model used in ABAQUS, ANSYS and COMSOL. In addition, our results provide a framework for the parameter-fitting procedure needed to characterize this standard, compressible, isotropic neo-Hookean model in terms of experimental data.
Fishing historical sources: a snapshot of 19th-century freshwater fauna in Spain
Authors: Blanco-Garrido Francisco , Hermoso Virgilio , Clavero Miguel 
Published: January 2023

AbstractHistorical information is needed to describe in a robust manner long-term changes in the distribution of organisms, although it is in general scarce or contained in non-scientific sources. Gazetteers (or geographical dictionaries) constitute a potential source of historical species records, which has not been accurately explored yet. The dictionary edited by Pascual Madoz between 1845 and 1850 extensively described the geography, population and socioeconomic aspects in Spain. The dictionary included abundant information on wild animals and plants, with a special focus on socioeconomically relevant species. Here, we present a database generated by collecting and georeferencing the mentions to freshwater fauna records in the Madoz, which includes 10,750 occurrence records of 39 freshwater-associated taxa from 5,472 localities. This database has been made public and usable (following FAIR criteria) in GBIF. Most of the records correspond to fish (10,201 records, 94.9% of total; 33 taxa), followed by crayfish (418 records, 3.9% of total; one species). Annelids (one taxon), amphibians (one taxon), reptiles (one taxon) and mammals (three species) sum up to 132 records (1.2% of total). The database presented here can be used to estimate the baseline ranges of many freshwater species, which should inform present-day management for the conservation and recovery of endangered species and freshwater communities.
Graphical abstract
Who Cares About Young People? An Ethical Reflection on the Losses Suffered by Adolescents, Beyond Those of School and Education, During the COVID-19 Pandemic
Authors: Schweiger Gottfried 
Published: January 2023

AbstractAdolescence is a valuable phase of life, not just because it is the phase of learning in school and preparing for a working life. During the COVID-19 pandemic it became clear that the rights, experiences, and lifeworlds of adolescents are considered less important than the needs of school, work, and productivity. However, there is an ethical claim for people to have a good adolescence, and this means that the losses of social contact, experiences, time, and space demanded of adolescents, in order to protect older and vulnerable groups during the COVID-19 pandemic, should be taken seriously. A distinctive quality of adolescence is that it cannot be repeated, nor can these experiences be replicated as adults. First experiences of independence, friendship, love, informality, recklessness, and youthful exuberance are intrinsically valuable and cannot be substituted for later in life. It is therefore not surprising that adolescents have sought and found their own spaces during the pandemic, some of them forbidden, because lock downs and closed social spaces have relegated them to the confines of their childhood bedrooms. In this paper, I explore an ethic of a good adolescence, which was impacted on by the COVID-19 pandemic, and consider what can be learned from this situation. Adolescents are to be taken seriously, their experiences are no less valuable than those of adults, and the losses they have suffered for the benefit of others should be honored. As far as possible, young people should be supported to have a voice in public discourse and in finding spaces to be adolescents.
Stratified assessment and warning regimen for prevention of acute adverse reactions to iodinated contrast media: results of 150,343 cases in a tertiary hospital
Authors: Liu Heng , Qiu Haiyan , Liu Junling , Wang Lingru , Zhao Li , Wang Yaling , Li Xue 
Published: January 2023

Abstract
For contrast-enhanced CT examinations, there is a lack of comprehensive optimal management strategies of risk factors to reduce the risk of iodinated contrast media (ICM)–induced acute adverse reactions (AAR). Here, we determine the relationship between the rate of ICM-AAR and a stratified assessment and warning (SAW) regimen, which integrated risk identification, stratification, early warning, and prevention. A total of 120,822 cases in the conventional assessment period (58 years ± 15, 55.25% men) and 150,343 cases (58 years ± 14, 55.83% men) in the SAW period were enrolled. The results showed that the total AAR incidence in the SAW period (414/150,343, 0.28%) was lower than that in the conventional assessment period (506/120,822, 0.42%, P < 0.001), in which the proportion of AAR patients decreased by one-third. It mainly presented as decreases in mild and moderate reactions (P < 0.001), and a decrease in the proportion of moderate AAR patients (P = 0.001). Subgroup analysis showed lower mild and moderate AAR incidence in patients with different risk levels and with different ICM injection parameters following SAW regimen. We concluded that SAW regimen was associated with lower incidence of mild and moderate AAR, and decreased proportion of moderate AAR patients, which held potential for improved ICM safety.
Graphical abstract
Population structure and genetic diversity of a germplasm for hybrid breeding in rye (Secale cereale L.) using high-density DArTseq-based silicoDArT and SNP markers
Authors: Niedziela Agnieszka , Bednarek Piotr Tomasz 
Published: January 2023

AbstractInvestigating genetic structure and diversity is crucial for the rye hybrid breeding strategy, leading to improved plant productivity and adaptation. The present study elucidated the population structure and genetic diversity of 188 rye accessions, comprising 94 pollen fertility restoration lines (RF) and 94 cytoplasmic male-sterile (CMS) lines with Pampa sterilizing cytoplasm using SNP and silicoDArT markers from the diversity array technology (DArT)-based sequencing platform (DArTseq). Expected heterozygosity (He) and Shanon’s diversity (I) indexes varied slightly between marker systems and groups of germplasms (He = 0.34, I = 0.51 for RF and CMS lines genotyped using SNPs; He = 0.31, I = 0.48, and He = 0.35, I = 0.53 for RF and CMS using silicoDArTs, respectively). ANOVA indicated moderate variation (7%) between RF and CMS breeding materials. The same parameter varied when chromosome-assigned markers were used and ranged from 5.8% for 5R to 7.4% for 4R. However, when silicoDArT markers were applied, the respective values varied from 6.4% (1R) to 8.2% (3R and 4R). The model-based (Bayesian) population structure analysis based on the total marker pool identified two major subpopulations for the studied rye germplasm. The first one (P1) encompasses 93 RF accessions, and the second one (P2) encompasses 94 CMS and one RF accession. However, a similar analysis related to markers assigned to selected chromosomes failed to put plant materials into any of the populations in the same way as the total marker pool. Furthermore, the differences in grouping depended on marker types used for analysis.
Stakeholder’s practices for the sustainability assessment of professional urban agriculture reveal numerous original criteria and indicators
Authors: Clerino Paola , Fargue-Lelièvre Agnès , Meynard Jean-Marc 
Published: January 2023

Abstract With the rapid growth of professional intra-urban agriculture (PIUA) projects in the Global North, sponsors, projects leaders, and experts developing these projects are seeking to evaluate their sustainability. As existing assessment tools are not adapted to PIUA projects, they establish their own assessment practices. Our study examines these practices to identify their original features, criteria, and indicators used. To this end, we analysed 19 case studies of different PIUA projects. We identified four dimensions underpinning sustainability assessment, namely, internal sustainability, external sustainability, the project leader’s credibility, and the innovative nature of the project. We also shed light on the wide diversity of the 67 assessment criteria identified, as well as the qualitative nature of 78% of indicators used. In addition, our study highlights that assessment practices evolve over time as the project progresses from ideation to implementation, according to the variety of assessment situations. Our study is the first to provide an in-depth exploration of PIUA stakeholders’ sustainability assessment practices and to shed light on their specific features. Our results afford a better understanding of the way the sustainability of PIUA projects is assessed and contribute to reflection on the design of a flexible assessment tool, considering the diverse criteria and practices used by stakeholders to assess the sustainability of PIUA.
Long-term active restoration of degraded grasslands enhances vegetation resilience by altering the soil seed bank
Authors: Guo Na , Sang Chao , Huang Mei , Zhang Rui , Degen A. Allan , Ma Lina , Bai Yanfu , Zhang Tao , Wang Wenyin , Niu Jiahuan , Li Shanshan , Long Ruijun , Shang Zhanhuan 
Published: January 2023

AbstractLong-term active restoration is often employed to restore degraded grasslands. The establishment of a viable soil seed bank is the key to successful restoration, as it enhances the resilience of vegetation. However, little is known of how the soil seed bank affects vegetation resilience following long-term active restoration of degraded grasslands. We determined seed abundance and species composition of the soil seed bank and soil properties and vegetation resilience of intact, degraded, and long-term (>10 years) actively restored grasslands on the Tibetan plateau (3900–4200 m a.s.l.). The plant-soil-seed bank quality index and structural equation modelling (SEM) were used to assess the effect of the soil seed bank on vegetation resilience. After long-term (>10 years) active restoration of degraded grasslands by sowing seeds of native plant species, the densities of transient and persistent seeds increased by 5%, but seed richness (number of species) decreased by 25% when compared with degraded grasslands. This occurred largely as a result of an increase in grass but decrease in forb seeds. Persistent seeds of grasses play an important role in the productivity of restored grasslands, while the density of persistent seeds serves as an indicator of the resilience of vegetation. A combination of the plant community and soil properties determined seed density. Here, we show for the first time that long-term active restoration enhances vegetation resilience of grasslands by altering the soil seed bank. A high seed density of sown Gramineae and a low seed density of forbs in the soil seed bank is a key to the successful active restoration of degraded grasslands.
Modeling cell clusters and their near-wall dynamics in shear flow
Authors: Jančigová Iveta , Bohiniková Alžbeta , Mulík Michal , Cimrák Ivan 
Published: January 2023

AbstractThe studies that compare the metastatic potential of tumor cell clusters in microcirculation to that of single tumor cells show that the clusters contribute significantly to metastasizing. The metastatic potential is conditioned by the presence of the cancer cells near vessel walls. Detailed understanding of dynamical behavior of clusters near the vessel walls can thus elucidate the process of adhesion. We have developed a biomechanical model of cell clusters capable of simulating both strong and weak adhesion among the cells in the cluster in various spatial configurations. We have validated the model on data from cell separation experiments. The developed model has been used to study near-wall dynamics in shear flow with focus on cluster–wall contact. To quantify the presence of cells near walls, we have evaluated metrics involving time of contact and contact area of clusters tumbling and rolling near the wall. The computational results suggest two trends: First, more elastic clusters and clusters of weakly adhesive cells have decreased cluster–wall contact to the walls than rigid clusters or clusters composed of strongly adhesive cells. Second, more spherical cluster shapes tend to drift away from the walls, thus decreasing the wall contact time.
NCT:noise-control multi-object tracking
Authors: Zeng Kai , You Yujie , Shen Tao , Wang Qingwang , Tao Zhimin , Wang Zhifeng , Liu Quanjun 
Published: January 2023

AbstractMulti-Object Tracking (MOT) is an important topic in computer vision. Recent MOT methods based on the anchor-free paradigm trade complicated hierarchical structures for tracking performance. However, existing anchor-free MOT methods ignore the noise in detection, data association, and trajectory reconnection stages, which results in serious problems, such as missing detection of small objects, insufficient motion information, and trajectory drifting. To solve these problems, this paper proposes Noise-Control Tracker (NCT), which focuses on the noise-control design of detection, association, and reconnection. First, a prior depth denoise method is introduced to suppress the fusion feature redundant noise, which can recover the gradient information of the heatmap fusion features. Then, the Smoothing Gain Kalman filter is designed, which combines the Gaussian function with the adaptive observation coefficient matrix to stabilize the mutation noise of Kalman gain. Finally, to address the drift noise issue, the gradient boosting reconnection context mechanism is designed, which realizes adaptive trajectory reconnection to effectively fill the gaps in trajectories. With the assistance of the plug-and-play noise-control method, the experimental results on MOTChallenge 16 &17 datasets indicate that the NCT can achieve better performance than other state-of-the-art trackers.
The virtues and limits of specialization in global value chains: analysis and policy implications
Authors: Coveri Andrea , Zanfei Antonello 
Published: January 2023

AbstractA growing concern has emerged in both academic research and policy circles about the hidden risks that can arise from a narrow specialization of economies in a world characterized by the international fragmentation of production. In this work, we address the virtues and limits of specialization in light of the strong interdependencies between countries induced by the emergence and evolution of global value chains (GVCs). The need to shift the focus from the product level to the functional level is discussed from both a conceptual and empirical perspective. Moreover, several arguments are advanced in favour of functional diversification. It is argued that economies performing a relatively large range of value adding activities are in a better position to foster process and product innovation and increase the resilience of the productive structure in face of both domestic and external shocks. Accordingly, we provide a stronger conceptual basis for industrial policies aimed to address the vulnerability of GVCs in times of major disruptive events. We stress that responding to these shocks implies a careful definition of the geographical boundaries of international production networks, substantial investments in strategic activities at the national and macro-regional levels, as well as a more selective sourcing of inputs and knowledge assets on a global scale.
Aerophilic Triphase Interface Tuned by Carbon Dots Driving Durable and Flexible Rechargeable Zn-Air Batteries
Authors: Ding Kuixing , Ye Yu , Hu Jiugang , Zhao Liming , Jin Wei , Luo Jia , Cai Shan , Weng Baicheng , Zou Guoqiang , Hou Hongshuai , Ji Xiaobo 
Published: January 2023

AbstractEfficient bifunctional catalysts for oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) are vital for rechargeable Zn-air batteries (ZABs). Herein, an oxygen-respirable sponge-like Co@C–O–Cs catalyst with oxygen-rich active sites was designed and constructed for both ORR and OER by a facile carbon dot-assisted strategy. The aerophilic triphase interface of Co@C–O–Cs cathode efficiently boosts oxygen diffusion and transfer. The theoretical calculations and experimental studies revealed that the Co–C–COC active sites can redistribute the local charge density and lower the reaction energy barrier. The Co@C–O–Cs catalyst displays superior bifunctional catalytic activities with a half-wave potential of 0.82 V for ORR and an ultralow overpotential of 294 mV at 10 mA cm−2 for OER. Moreover, it can drive the liquid ZABs with high peak power density (106.4 mW cm−2), specific capacity (720.7 mAh g−1), outstanding long-term cycle stability (over 750 cycles at 10 mA cm−2), and exhibits excellent feasibility in flexible all-solid-state ZABs. These findings provide new insights into the rational design of efficient bifunctional oxygen catalysts in rechargeable metal-air batteries.
DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning
Authors: Yang Sen , Shen Tao , Fang Yuqi , Wang Xiyue , Zhang Jun , Yang Wei , Huang Junzhou , Han Xiao 
Published: January 2023

Abstract
The high-content image-based assay is commonly leveraged for identifying the phenotypic impact of genetic perturbations in biology field. However, a persistent issue remains unsolved during experiments: the interferential technical noises caused by systematic errors (e.g., temperature, reagent concentration, and well location) are always mixed up with the real biological signals, leading to misinterpretation of any conclusion drawn. Here, we reported a mean teacher-based deep learning model (DeepNoise) that can disentangle biological signals from the experimental noises. Specifically, we aimed to classify the phenotypic impact of 1108 different genetic perturbations screened from 125,510 fluorescent microscopy images, which were totally unrecognizable by the human eye. We validated our model by participating in the Recursion Cellular Image Classification Challenge, and DeepNoise achieved an extremely high classification score (accuracy: 99.596%), ranking the 2nd place among 866 participating groups. This promising result indicates the successful separation of biological and technical factors, which might help decrease the cost of treatment development and expedite the drug discovery process. The source code of DeepNoise is available at https://github.com/Scu-sen/Recursion-Cellular-Image-Classification-Challenge.