bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parents’ experiences of health literacy in parenting infants at home: a qualitative systematic review protocol
Authors: Sakai Ayano , Ishimaru Mina , Iwata Hiroko , Iwase Seiko , Suzuki Satoko 
Published: October 2023

Objective:
This systematic review will identify and synthesize available qualitative evidence regarding parents’ experiences of health literacy in parenting infants at home.

Introduction:
Parental health literacy, which is essential for parents’ and children’s health, is associated with parents’ health knowledge, parenting practices, and children’s health outcomes. Parents face difficulties pertaining to their health literacy skills in daily health education and health care for their infants; therefore, understanding their parenting experience with infants from a health literacy perspective is important for health professionals. This review will evaluate and integrate qualitative evidence regarding parental experiences of health literacy in daily parenting of infants at home.

Inclusion criteria:
This review will include qualitative data from empirical studies describing parents’ experiences of health literacy in parenting infants at home. Parents of infants (0–1 year of age) living at home in Organisation for Economic Co-operation and Development member countries will be included.

Methods:
This review will follow the JBI approach for qualitative systematic reviews. The following databases will be searched for published and unpublished studies: MEDLINE (EBSCOhost), CINAHL (EBSCOhost), PsycINFO (EBSCOhost), and ProQuest Health & Medical Collection (in English and Japanese); Open Access Theses and Dissertations (in English); and Ichushi-Web, CiNii, and the Institutional Repositories Database (in Japanese). Study selection, data extraction, and critical appraisal of the methodological quality of studies will be undertaken by 2 reviewers independently. Data synthesis will be conducted using the meta-aggregation approach, and the synthesized findings will be assessed using the ConQual approach.

Systematic review registration number:
CRD42022345187
Internal Structure of Venus Based on the PREM Model
Authors: Amorim D. O. , Gudkova T. V. 
Published: October 2023

Abstract—
Models of the internal structure of Venus have been constructed with a wide range of crustal thickness (30–70 km) and core radius (2800–3500 km). An analysis of the pressure values in the center of the planet allows us to conclude that the presence of a solid inner core is unlikely if the composition and temperature profile of Venus correspond to that of the Earth. Andrade’s rheology was used to take into account the inelasticity of the interior of Venus when calculating the tidal Love numbers and the angle of delay of the tidal hump. Comparison of experimental values of the Love number k2 with the model gives the radius of the core of Venus in the range of 3100–3500 km. It is shown that to determine the characteristic viscosity of the Venusian mantle, the key factor is the determination of the angle of retardation of the tidal bulge: values of 0.9° correspond to low viscosity and high temperature, and 0.4° to high viscosity and low temperature, so the planned measurements of tidal parameters and the moment of inertia of the planet in the VERITAS and EnVision missions will be able to impose restrictions on the distribution of viscosity and temperature in the interior of Venus.
Can Google Trends predict asylum-seekers’ destination choices?
Authors: Qi Haodong , Bircan Tuba 
Published: October 2023

AbstractGoogle Trends (GT) collate the volumes of search keywords over time and by geographical location. Such data could, in theory, provide insights into people’s ex ante intentions to migrate, and hence be useful for predictive analysis of future migration. Empirically, however, the predictive power of GT is sensitive, it may vary depending on geographical context, the search keywords selected for analysis, as well as Google’s market share and its users’ characteristics and search behavior, among others. Unlike most previous studies attempting to demonstrate the benefit of using GT for forecasting migration flows, this article addresses a critical but less discussed issue: when GT cannot enhance the performances of migration models. Using EUROSTAT statistics on first-time asylum applications and a set of push-pull indicators gathered from various data sources, we train three classes of gravity models that are commonly used in the migration literature, and examine how the inclusion of GT may affect models’ abilities to predict refugees’ destination choices. The results suggest that the effects of including GT are highly contingent on the complexity of different models. Specifically, GT can only improve the performance of relatively simple models, but not of those augmented by flow Fixed-Effects or by Auto-Regressive effects. These findings call for a more comprehensive analysis of the strengths and limitations of using GT, as well as other digital trace data, in the context of modeling and forecasting migration. It is our hope that this nuanced perspective can spur further innovations in the field, and ultimately bring us closer to a comprehensive modeling framework of human migration.
A Review of Exosomes in Regenerative Cosmetic Dermatology
Authors: Miller Julia , Chen Grace , Hayag Marie V 
Published: October 2023

Exosomes are the small extracellular vesicles secreted by almost all living cell types. They are a main component of cellular communication. To mediate intercellular communication, exosomes transport cellular cargo such as proteins, miRNA, nucleic acids, and various metabolites[Formula: see text]. Although specifics of their role in cellular physiology have yet to be uncovered, interest in exosomes and their functionality has exploded due to their diverse treatment and diagnostic capabilities. Already, numerous studies have proven the safety, efficacy, and therapeutic potential of exosomes in the treatment of cancers, neurodegenerative disorders, cardiovascular illness, and orthopedic diseases1. Due to their small size, high membrane permeability, and modifiability, exosomes are of the utmost therapeutic and diagnostic potential[Formula: see text]. As exosomes promote cellular regeneration, their role in general dermatology as well as cosmetic dermatology has become prominent. In the past few years, cosmetic dermatology research proves the potential of exosomes in the processes of skin rejuvenation, postprocedural care, and dermal maintenance. Some of the most popular modalities of treatment include hair restoration, photorejuvenation, daily maintenance, and antiaging. This paper will discuss the biological function, isolation methods, and therapeutic role of mesenchymal stem cell-and platelet-derived exosomes in cosmetic dermatology.
Distributed Rate Scaling in Large-Scale Service Systems
Authors: Rutten Daan , Zubeldia Martin , Mukherjee Debankur 
Published: October 2023

We consider a large-scale parallel-server system, where each server dynamically chooses its processing speed in a completely distributed fashion. The goal is to minimize the global cost that is the sum of the average cost of maintaining the respective processing speeds of all servers and a certain non-decreasing function of the sojourn time of tasks. The key challenges arise from the facts that the arrival rate of tasks is unknown and that there is no centralized control or communication among the servers.
Using insights from stochastic approximation, we develop a novel rate-scaling algorithm and prove that the cost of the processing rates under our algorithm converges to the globally optimum value as the system size becomes large. En route, we also analyze the performance of a fully heterogeneous parallel-server system (i.e, where each server has a different processing speed), which might be of independent interest.
Data from Simultaneous Targeting of DNA Polymerase Theta and PARP1 or RAD52 Triggers Dual Synthetic Lethality in Homologous Recombination–Deficient Leukemia Cells
Authors: Sullivan-Reed Katherine , Toma Monika M. , Drzewiecka Malgorzata , Nieborowska-Skorska Margaret , Nejati Reza , Karami Adam , Wasik Mariusz A. , Sliwinski Tomasz , Skorski Tomasz 
Published: October 2023

<div>Abstract<p>DNA polymerase theta (Polθ, encoded by <i>POLQ</i> gene) plays an essential role in Polθ-mediated end-joining (TMEJ) of DNA double-strand breaks (DSB). Inhibition of Polθ is synthetic lethal in homologous recombination (HR)-deficient tumor cells. However, DSBs can be also repaired by PARP1 and RAD52-mediated mechanisms. Because leukemia cells accumulate spontaneous DSBs, we tested if simultaneous targeting of Polθ and PARP1 or RAD52 enhance the synthetic lethal effect in HR-deficient leukemia cells. Transformation potential of the oncogenes inducing BRCA1/2-deficiency (BCR-ABL1 and AML1-ETO) was severely limited in <i>Polq<sup>−/−</sup>;Parp1<sup>−/−</sup></i> and <i>Polq<sup>−/−</sup>;Rad52<sup>−/−</sup></i> cells when compared with single knockouts, which was associated with accumulation of DSBs. Small-molecule inhibitor of Polθ (Polθi) when combined with PARP or RAD52 inhibitors (PARPi, RAD52i) caused accumulation of DSBs and exerted increased effect against HR-deficient leukemia and myeloproliferative neoplasm cells.</p>Implications:<p>In conclusion, we show that PARPi or RAD52i might improve therapeutic effect of Polθi against HR-deficient leukemias.</p></div>
Automated motion artifact detection in early pediatric diffusion MRI using a convolutional neural network
Authors: Weaver Jayse Merle , DiPiero Marissa , Rodrigues Patrik Goncalves , Cordash Hassan , Davidson Richard J. , Planalp Elizabeth M. , Dean III Douglas C. 
Published: October 2023

Abstract
Diffusion MRI (dMRI) is a widely used method to investigate the microstructure of the brain. Quality control (QC) of dMRI data is an important processing step that is performed prior to analysis using models such as diffusion tensor imaging (DTI) or neurite orientation dispersion and density imaging (NODDI). When processing dMRI data from infants and young children, where intra-scan motion is common, the identification and removal of motion artifacts is of the utmost importance. Manual QC of dMRI data is (1) time-consuming due to the large number of diffusion directions, (2) expensive, and (3) prone to subjective errors and observer variability. Prior techniques for automated dMRI QC have mostly been limited to adults or school-age children. Here, we propose a deep learning-based motion artifact detection tool for dMRI data acquired from infants and toddlers. The proposed framework uses a simple three-dimensional convolutional neural network (3DCNN) trained and tested on an early pediatric dataset of 2,276 dMRI volumes from 121 exams acquired at 1 month and 24 months of age. An average classification accuracy of 95% was achieved following four-fold cross-validation. A second dataset with different acquisition parameters and ages ranging from 2-36 months (consisting of 2,349 dMRI volumes from 26 exams) was used to test network generalizability, achieving 98% classification accuracy. Finally, to demonstrate the importance of motion artifact volume removal in a dMRI processing pipeline, the dMRI data were fit to the DTI and NODDI models and the parameter maps were compared with and without motion artifact removal.
A meso-scale cartography of the AI ecosystem
Authors: Gargiulo Floriana , Fontaine Sylvain , Dubois Michel , Tubaro Paola 
Published: October 2023

Abstract
Recently, the set of knowledge referred to as “artificial intelligence” (AI) has become a mainstay of scientific research. AI techniques have not only greatly developed within their native areas of development but have also spread in terms of their application to multiple areas of science and technology. We conduct a large-scale analysis of AI in science. The first question we address is the composition of what is commonly labeled AI, and how the various subfields within this domain are linked together. We reconstruct the internal structure of the AI ecosystem through the co-occurrence of AI terms in publications, and we distinguish between 15 different specialties of AI. Furthermore, we investigate the spreading of AI outside its native disciplines. We bring to light the dynamics of the diffusion of AI in the scientific ecosystem and we describe the disciplinary landscape of AI applications. Finally we analyze the role of collaborations for the interdisciplinary spreading of AI. Although the study of science frequently emphasizes the openness of scientific communities, we show that collaborations between those scholars who primarily develop AI and those who apply it are quite rare. Only a small group of researchers can gradually establish bridges between these communities.
Drug-induced immune hemolytic anemia: detection of new signals and risk assessment in a nationwide cohort study
Authors: Maquet Julien , Lafaurie Margaux , Michel Marc , Lapeyre-Mestre Maryse , Moulis Guillaume 
Published: October 2023

Abstract
More than 130 drugs have been suspected to induce immune hemolytic anemia. Comparative studies measuring the risk of drug-induced immune hemolytic anemia (DIIHA) are lacking. We aimed (1) to detect new signals of DIIHA, excluding vaccines, and (2) to assess the association between all suspected drugs and the occurrence of immune hemolytic anemia in a nationwide comparative study. The new signals were identified using a disproportionality study (case/noncase design) in the World Pharmacovigilance Database, Vigibase, among the cases of adverse drug reactions reported up to February 2020 (&gt;20 million). We then conducted a comparative study in the French National health database that links sociodemographic, out-of-hospital, and hospital data for the entire population (67 million individuals). Associations between exposure to drugs (those already reported as DIIHA, plus new signals identified in Vigibase) and incident cases of immune hemolytic anemia (D59.0 and D59.1 diagnosis codes of the International Classification of Diseases, version 10) from 2012 to 2018 were assessed with case-control and case-crossover designs. In Vigibase, 3371 cases of DIIHA were recorded. Fifty-nine new signals were identified resulting in a final list of 112 drugs marketed in France and measurable in the nationwide cohort (n = 4746 patients with incident immune hemolytic anemia included in the case-control analysis matched with 22 447 controls from the general population). We identified an association between immune hemolytic anemia occurrence and some antibiotics, antifungal drugs, ibuprofen, acetaminophen, furosemide, azathioprine, and iomeprol.
Agitation role (Dissolved Oxygen) in production of laccase from newly identified Ganoderma multistipitatum sp. nov. and its effect on mycelium morphology
Authors: Umar Aisha , Abid Islem , Elshikh Mohamed S , Dufossé Laurent , Abdel-Azeem Ahmed M. , Ali Iftikhar 
Published: October 2023

Abstract
Background
Agitation speed influenced the production rate of laccase. Orbital speed not only influenced the enzyme production, but was also effective to dissolve the oxygen during growth of mycelium, spores, and chlamydospores. Shear effects of speed greatly influenced the morphology of mycelium.

Methods
Ganoderma multistipitatum was identified by ITS marker. Phylogenetic tree was constructed for species identification. Qualitatively by plate method contained guaiacol indicator, while quantitatively by submerged fermentation and Central Composite Design applied on agitation parameter for maximum laccase potential of this species. The effects of agitation speed on mycelium morphology were observed under compound and scanning electron microscope.

Results
Statistical optimization of agitation conditions were performed by using response surface methodology to enhance the production of laccase from Ganoderma multistipitatum sp. nov. Maximum laccase yield (19.44 × 105 ± 0.28 U/L) was obtained at 150 rpm grown culture, which was higher than predicted value of laccase production (19.18 × 105 U/L) under aerobic conditions (150 rpm). The 150 rpm provided the continuous flush of oxygen. The DO (dissolved oxygen) was maximum (65%) for “27 h” incubation at 150 rpm during laccase synthesis. The statistical value of laccase production was minimum under anaerobic or nearly static condition of 50 rpm. The predicted (12.78 × 105 U/L) and obtained (12.82 × 105 U/L) yield was low at 50 rpm. Optimization of orbital shaking for aeration conditions were performed by the use of “Response Surface Methodology”. The submerged shaking flasks were utilized as a nutrients growth medium to maximize the production of laccase from G. multistipitatum. The minimum incubation time highly influenced the laccase yield from 7 to 15 days via utilization of less cost-effective medium under a promising and eco-friendly method. The morphological effects of rpm on mycelium were examined under compound and scanning electron microscopy. Higher rpm (200, 230) shear the mycelium, while 150 to 200 rpm exhibited smoother and highly dense branches of mycelia.

Conclusion
The shear forces of 200 rpm caused the damages of mycelium and cells autolysis with less laccase production. This study concluded that 150 rpm saved the life of mycelium and enhanced the production rate of enzymes.
An exploratory study of delayed flash visual evoked potential P2 wave latency in subcortical arteriosclerotic encephalopathy
Authors: Duan Lei , Ding Yu , Sun Gao-hui , Li Yun-tao 
Published: October 2023

Abstract
Background
Patients with cognitive dysfunction may present with significantly prolonged the P2 wave latency of flash visual evoked potential. However, no studies have been reported on whether the P2 wave latency of flash visual evoked potential is prolonged in patients with subcortical arteriosclerotic encephalopathy (SAE).

Objective
To examine the relationship between flash visual evoked potential P2 wave latency (FVEP-P2 wave latency) and cognitive impairment in patients with SAE.

Methods
Overall, we recruited 38 SAE patients as the observation cohort (OC) and 34 healthy volunteers as the control cohort (CC). We measured the FVEP-P2 wave latency for both groups. The SAE patients’ cognitive abilities were evaluated via mini-mental state examination (MMSE) and the association between the latency of FVEP-P2 and MMSE score was explored by Pearsons´s correlation test.

Results
There is no significant difference between OC (21 males and 17 females; 68.6 ± 6.7 years of age and 9.6 ± 2.8 years of education) and CC (19 males and 15 females; 65.3 ± 5.9 years of age and 10.1 ± 2.6 years of education) in gender and age composition and education level. The FVEP-P2 wave latency of the CC group was (108.80 ± 16.70) ms and the OC FVEP-P2 wave latency was (152.31 ± 20.70) ms. The OC FVEP-P2 wave latency was significantly longer than the CC (P < 0.05). In terms of MMSE scores, the MMSE scores of CC was (28.41 ± 2.34), and that of OC was (9.08 ± 4.39). Compared to the CC, the OC MMSE score was significantly lower (P < 0.05). In addition, the FVEP-P2 wave latency was inversely related to the MMSE (r = -0.4465, P < 0.05) in SAE patients.

Conclusion
The FVEP-P2 wave latency wave latency was significantly prolonged in SAE patients and strongly associated with the degree of cognitive dysfunction.
Vision-related quality of life among released from treatment cases of leprosy evaluated with NEI-VFQ-25: a cross-sectional study
Authors: Irawati Yunia , Andayani Gitalisa , Rahayu Tri , Zakiyah Hindun , Kurniawardhani Dewinta Retno , Paramita Carennia , Bani Anna Puspitasari , Daniel Hisar , Susiyanti Made , Lestari Yeni Dwi , Friska Dewi , Menaldi Sri Linuwih , Harini Melinda 
Published: October 2023

Abstract
Background
People with leprosy who have been declared Release From Treatment (RFT) are often not aware of the leprosy sequelae possibility which can decrease their quality of life. This could be because they have been adapting for a long time hence they do not feel the need to see physicians. This study seeks to compare the results of Vision-Related Quality of Life (VR-QoL) among RFT persons based on the National Eye Institute Visual Functioning Questionnaire–25 (NEI-VFQ-25) and WHO grading disability based on physical examination.

Methods
A cross-sectional study of 325 RFT subjects from leprosy communities (Singkawang, West Kalimantan and Tangerang, Banten) was conducted between 2018 and 2019. We used the NEI-VFQ-25 questionnaire that had been validated and translated into Indonesian and distributed to the leprosy population. Relationships and comparisons among variables were evaluated using Kruskal–Wallis and Mann–Whitney tests.

Results
There were three main results: The median composite score of VR-QoL for WHO grade 0, 1, and 2 disabilities has decreased by 13%, 25.5%, and 30% of the maximum value, respectively. Of the total, eleven subscales were statistically significant between WHO grading disability and VR-QoL based on the NEI-VFQ-25 (p < 0.05). The comparison between grade 0 and grade 2 disability in all subscales was statistically significant (p < 0.05).

Conclusions
The grade of disability is related to their VR-QoL assessment using the NEI-VFQ-25 questionnaire. Thus, it can be used as an initial screening in primary healthcare settings to increase awareness of disability before a thorough physical examination.
Predictive models for sepsis in children with Staphylococcus aureus bloodstream infections: a retrospective cohort study
Authors: Sun Chen , Tan Dongdong , Yu Jiajia , Liu Jingxian , Shen Dihua , Li Shuang , Zhao Shiyong , Zhang Liya , Li Huajun , Cai Kang , Xu Shanshan , Huang Lisu 
Published: October 2023

Abstract
Background
The presence of Staphylococcus aureus in the bloodstream can lead to the development of sepsis; however, the severity and risk factors of the systemic inflammatory response to Staphylococcus aureus bloodstream infections were unclear. This study is aimed to build a model to predict the risk of sepsis in children with Staphylococcus aureus bloodstream infections.

Methods
A retrospective analysis of hospitalized pediatric patients diagnosed with Staphylococcus aureus bloodstream infections was performed between January 2013 and December 2019. Each patient was assessed using the pediatric version of the Sequential Organ Failure Assessment score (pSOFA) within 24 h of blood culture collection. A nomogram based on logistic regression models was constructed to predict the risk factors for sepsis in children with Staphylococcus aureus bloodstream infections. It was validated using the area under the receiver-operating characteristic curve (AUC).

Results
Of the 94 patients included in the study, 35 cases (37.2%) developed sepsis. The pSOFA scores ranged from 0 to 8, with 35 patients having a pSOFA score of ≥ 2. Six children (6.4%) died within 30 days, who were all from the sepsis group and had different pSOFA scores. The most common organs involved in sepsis in children with staphylococcal bloodstream infections were the neurologic system (68.6%), respiratory system (48.6%), and coagulation system (45.7%). Hospital-acquired infections (adjusted odds ratio [aOR], 3.0; 95% confidence interval [CI], 1.3–7.2), implanted catheters (aOR, 10.4; 95% CI, 3.8–28.4), procalcitonin level ≥ 1.7 ng/mL (aOR, 15.4; 95% CI, 2.7–87.1), and underlying diseases, especially gastrointestinal malformations (aOR, 14.0; 95% CI, 2.9–66.7) were associated with Staphylococcus aureus sepsis. However, methicillin-resistant Staphylococcus aureus infection was not a risk factor for sepsis. The nomogram had high predictive accuracy for the estimation of sepsis risk, with an AUC of 0.85.

Conclusions
We developed a predictive model for sepsis in children with Staphylococcus aureus infection.