bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors associated with knowledge of mother-to-child transmission of HIV among reproductive-age women in Indonesia: a multilevel analysis
Authors: Afaya Agani , Ispriantari Aloysia 
Published: February 2024

Abstract
Background
Maternal transmission of human immunodeficiency virus (HIV) commonly occurs from mother to child during pregnancy, delivery, and breastfeeding which accounts for almost all the new HIV infections among children aged 0–14 years. Despite major efforts and progress in controlling and preventing HIV, it continues to pose a great public health threat, especially in Indonesia. This study assessed the factors associated with the knowledge of mother-to-child transmission (MTCT) of HIV among reproductive-age women in Indonesia.

Methods
This study used data from the 2017 Indonesian Demographic and Health Survey (IDHS). We sampled 39,735 reproductive-age women (15–49 years) for analysis. Using Stata version 16.0, multilevel logistic regression models were fitted, and the results were presented as adjusted odds ratios (aORs) with their confidence intervals (CIs).

Results
The study found that 72% of women had knowledge of MTCT of HIV. Women who were aged between 45 and 49 years (aOR = 1.65, 95%CI = 1.46–1.88) had higher odds of knowledge of MTCT of HIV than those aged 15–19 years. Women who attained higher education (aOR = 2.92, 95%CI = 2.06–4.15) had increased odds of knowledge of MTCT of HIV than those with no formal education. Women who had four children (aOR = 1.19, 95% CI = 1.05–1.35) had higher odds of knowledge of MTCT of HIV than nulliparous women. Women who frequently read newspapers/magazines (aOR = 1.14, 95%CI = 1.06–1.25) and frequently used the internet almost every day (aOR = 1.28, 95%CI = 1.19–1.38) had higher odds of knowledge of MTCT of HIV than those who did not read newspapers/magazines and non-users of internet, respectively. Women within the richer (aOR = 1.11, 95%CI = 1.02–1.20) and the richest (aOR = 1.14, 95%CI = 1.04–1.25) wealth quintile higher odds of knowledge of MTCT of HIV than those in the poorest wealth quantile. Women who resided in rural areas were less likely to have knowledge of MTCT of HIV (aOR = 0.79, 95% CI = 0.74–0.86) than those in urban settlements.

Conclusions
Knowledge of MTCT of HIV was slightly above average. The study findings on the factors associated with knowledge of MTCT of HIV provide evidence for policymakers and clinicians to utilize in the quest to eliminate MTCT of HIV among children. We recommend that awareness programs should consider the key findings from this study when delivering public education or when developing interventions to improve women’s knowledge on MTCT of HIV.
Comparison of minimally invasive transforaminal lumbar interbody fusion (Mis-TLIF) with bilateral decompression via unilateral approach and open-TLIF with bilateral decompression for degenerative lumbar diseases: a retrospective cohort study
Authors: Zhu Fengzhao , Jia Dongqing , Zhang Yaqing , Feng Chencheng , Ning Ya , Leng Xue , Zhou Yue , Li Changqing , Huang Bo 
Published: February 2024

Abstract
Objective
Presently, no study has compared the clinical outcomes of minimally invasive transforaminal lumbar interbody fusion (Mis-TLIF) with bilateral decompression via the unilateral approach (BDUA) and Open-TLIF with bilateral decompression for degenerative lumbar diseases (DLD). We aimed to compare the clinical outcomes of through Mis-TLIF combined with BDUA and Open-TLIF with bilateral decompression for the treatment of DLD, and reported the learning curve of the procedure of MIS-TLIF with BDUA.

Methods
We retrospectively analyzed the prospectively collected data of consecutive DLD patients in the two groups from January 2016 to January 2020.

Results
The operative time (OT) was significantly longer in the Mis-TLIF group (n = 113) than in the Open-TLIF group (n = 135). The postoperative drainage volume (PDV) and length of stay (LOS) were significantly higher in the Open-TLIF group than in the Mis-TLIF group. Additionally, the complication rate was significantly higher in the Open-TLIF group than in the Mis-TLIF group (14.8% vs. 6.2%, P = 0.030), while there was no significant difference in the reoperation and adjacent segment disease rates between the two groups. There were no significant differences in back pain and leg pain Numerical Rating Scale (NRS) scores and Oswestry Disability Index (ODI) between the two groups preoperatively, at discharge, and 2 years postoperatively. Patients in both groups showed significant improvements in NRS scores and ODI scores after surgery. OT was negatively correlated with the number of surgeries performed (P < 0.001, r =  −0.43). The learning curve of Mis-TLIF with BDUA was steep, with OT tapered to steady state in 43 cases.

Conclusion
Compared with Open-TLIF with bilateral decompression, Mis-TLIF with BDUA can achieve equivalent clinical outcomes, lower PDV and LOS, and lower complication rates. Although this procedure took longer, it could be a viable alternative for the treatment of DLD after a steep learning curve.
The spectrum of neurological presentation in individuals affected by TBL1XR1 gene defects
Authors: Nagy Amanda , Molay Francine , Hargadon Sarah , Brito Pires Claudia , Grant Natalie , De La Rosa Abreu Lizbeth , Chen Jin Yun , D’Souza Precilla , Macnamara Ellen , Tifft Cynthia , Becker Catherine , Melo De Gusmao Claudio , Khurana Vikram , Neumeyer Ann M. , Eichler Florian S. 
Published: February 2024

Abstract
Background
TBL1XR1 encodes a F-box-like/WD40 repeat-containing protein that plays a role in transcription mediated by nuclear receptors and is a known genetic cause of neurodevelopmental disease of childhood (OMIM# 608628). Yet the developmental trajectory and progression of neurologic symptoms over time remains poorly understood.

Methods
We developed and distributed a survey to two closed Facebook groups devoted to families of patients with TBL1XR1-related disorder. The survey consisted of 14 subsections focused upon the developmental trajectories of cognitive, behavioral, motor, and other neurological abnormalities. Data were collected and managed using REDCap electronic data capture tools.

Results
Caregivers of 41 patients with a TBL1XR1-related disorder completed the cross-sectional survey. All reported variants affecting a single amino acid, including missense mutations and in-frame deletions, were found in the WD40 repeat regions of Tbl1xr1. These are domains considered important for protein–protein interactions that may plausibly underlie disease pathology. The majority of patients were diagnosed with a neurologic condition before they received their genetic diagnosis. Language appeared most significantly affected with only a minority of the cohort achieving more advanced milestones in this domain.

Conclusion
TBL1XR1-related disorder encompasses a spectrum of clinical presentations, marked by early developmental delay ranging in severity, with a subset of patients experiencing developmental regression in later childhood.
Trends in gynaecologic cancer mortality and the impact of the COVID-19 pandemic in the United States
Authors: Xi Yuyan , Guo Yuxin , Qiu Sikai , Lv Fan , Deng Yujiao , Xie Jingyi , Xing Zixuan , Bo Yajing , Chang Chenyu , Zhang Fan , Ji Fanpu , Li Mu 
Published: February 2024

Abstract
Objectives
Our aim was to assess the trend in gynaecologic cancer (GC) mortality in the period from 2010 to 2022 in the United States, with focus on the impact of the pandemic on increased deaths.

Methods
GC mortality data were extracted from the Center for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) platform. We analysed mortality trends and evaluated observed vs. predicted mortality for the period from 2020 to 2022 with joinpoint regression and prediction modelling analyses.

Results
A total of 334,382 deaths among adults aged 25 years and older with gynaecologic cancer were documented from 2010 to 2022. The overall age-standardised mortality rate (ASMR, per 100,000 persons) for ovarian cancer-related death decreased gradually from 7.189 in 2010 to 5.517 in 2019, yielding an APC (annual percentage change) of -2.8%. However, the decrease in ovarian cancer-related mortality slowed down by more than 4-fold during the pandemic. Cervical cancer -related mortality decreased slightly prior to the pandemic and increased during the pandemic with an APC of 0.6%, resulting in excess mortality of 4.92%, 9.73% and 2.03% in 2020, 2021 and 2022, respectively. For uterine corpus cancer, the ASMR increased from 1.905 in 2010 to 2.787 in 2019, and increased sharply to 3.079 in 2021 and 3.211 in 2022. The ASMR rose steadily between 2013 and 2022, yielding an APC of 6.9%.

Conclusions
Overall, we found that GC-related mortality increased during the COVID-19 pandemic, and this increase was not specific to age, race, or ethnicity.
An integrated machine learning-based model for joint diagnosis of ovarian cancer with multiple test indicators
Authors: Feng Yiwen 
Published: February 2024

Abstract
Objective
To construct a machine learning diagnostic model integrating feature dimensionality reduction techniques and artificial neural network classifiers to develop the value of clinical routine blood indexes for the auxiliary diagnosis of ovarian cancer.

Methods
Patients with ovarian cancer clearly diagnosed in our hospital were collected as a case group (n = 185), and three groups of patients with other malignant otolaryngology tumors (n = 138), patients with benign otolaryngology diseases (n = 339) and those with normal physical examination (n = 92) were used as an overall control group. In this paper, a fully automated segmentation network for magnetic resonance images of ovarian cancer is proposed to improve the reproducibility of tumor segmentation results while effectively reducing the burden on radiologists. A pre-trained Res Net50 is used to the three edge output modules are fused to obtain the final segmentation results. The segmentation results of the proposed network architecture are compared with the segmentation results of the U-net based network architecture and the effect of different loss functions and region of interest sizes on the segmentation performance of the proposed network is analyzed.

Results
The average Dice similarity coefficient, average sensitivity, average specificity (specificity) and average hausdorff distance of the proposed network segmentation results reached 83.62%, 89.11%, 96.37% and 8.50, respectively, which were better than the U-net based segmentation method. For ROIs containing tumor tissue, the smaller the size, the better the segmentation effect. Several loss functions do not differ much. The area under the ROC curve of the machine learning diagnostic model reached 0.948, with a sensitivity of 91.9% and a specificity of 86.9%, and its diagnostic efficacy was significantly better than that of the traditional way of detecting CA125 alone. The model was able to accurately diagnose ovarian cancer of different disease stages and showed certain discriminative ability for ovarian cancer in all three control subgroups.

Conclusion
Using machine learning to integrate multiple conventional test indicators can effectively improve the diagnostic efficacy of ovarian cancer, which provides a new idea for the intelligent auxiliary diagnosis of ovarian cancer.
Mitochondrial and ribosomal markers in the identification of nematodes of clinical and veterinary importance
Authors: Mejías-Alpízar María José , Porras-Silesky Catalina , Rodríguez Esteban José , Quesada Joban , Alfaro-Segura María Paula , Robleto-Quesada Joby , Gutiérrez Ricardo , Rojas Alicia 
Published: February 2024

Abstract
Background
Nematodes of the Ascarididae, Ancylostomatidae and Onchocercidae families are parasites of human and veterinary importance causing infections with high prevalence worldwide. Molecular tools have significantly improved the diagnosis of these helminthiases, but the selection of genetic markers for PCR or metabarcoding purposes is often challenging because of the resolution these may show.

Methods
Nuclear 18S rRNA, internal transcribed spacers 1 (ITS-1) and 2 (ITS-2), mitochondrial gene cytochrome oxidase 1 (cox1) and mitochondrial rRNA genes 12S and 16S loci were studied for 30 species of the mentioned families. Accordingly, their phylogenetic interspecies resolution, pairwise nucleotide p-distances and sequence availability in GenBank were analyzed.

Results
The 18S rRNA showed the least interspecies resolution since separate species of the Ascaris, Mansonella, Toxocara or Ancylostoma genus were intermixed in phylogenetic trees as opposed to the ITS-1, ITS-2, cox1, 12S and 16S loci. Moreover, pairwise nucleotide p-distances were significantly different in the 18S compared to the other loci, with an average of 99.1 ± 0.1%, 99.8 ± 0.1% and 98.8 ± 0.9% for the Ascarididae, Ancylostomatidae and Onchocercidae families, respectively. However, ITS-1 and ITS-2 average pairwise nucleotide p-distances in the three families ranged from 72.7% to 87.3%, and the cox1, 12S and 16S ranged from 86.4% to 90.4%. Additionally, 2491 cox1 sequences were retrieved from the 30 analyzed species in GenBank, whereas 212, 1082, 994, 428 and 143 sequences could be obtained from the 18S, ITS-1, ITS-2, 12S and 16S markers, respectively.

Conclusions
The use of the cox1 gene is recommended because of the high interspecies resolution and the large number of sequences available in databases. Importantly, confirmation of the identity of an unknown specimen should always be complemented with the careful morphological examination of worms and the analysis of other markers used for specific parasitic groups.

Graphical Abstract
Sound field reconstruction using neural processes with dynamic kernels
Authors: Liang Zining , Zhang Wen , Abhayapala Thushara D. 
Published: February 2024

AbstractAccurately representing the sound field with high spatial resolution is crucial for immersive and interactive sound field reproduction technology. In recent studies, there has been a notable emphasis on efficiently estimating sound fields from a limited number of discrete observations. In particular, kernel-based methods using Gaussian processes (GPs) with a covariance function to model spatial correlations have been proposed. However, the current methods rely on pre-defined kernels for modeling, requiring the manual identification of optimal kernels and their parameters for different sound fields. In this work, we propose a novel approach that parameterizes GPs using a deep neural network based on neural processes (NPs) to reconstruct the magnitude of the sound field. This method has the advantage of dynamically learning kernels from data using an attention mechanism, allowing for greater flexibility and adaptability to the acoustic properties of the sound field. Numerical experiments demonstrate that our proposed approach outperforms current methods in reconstructing accuracy, providing a promising alternative for sound field reconstruction.
Investigations of the degree of asymmetry across the dayside magnetopause under southward interplanetary magnetic field using GEOTAIL observations
Authors: Kondoh Koji , Nitta Shin-ya 
Published: February 2024

AbstractThe magnetic reconnection environment around the dayside geomagnetopause under long-lasting southward interplanetary magnetic field (IMF) conditions is investigated using the in-situ observation by GEOTAIL satellite from 1994 to 2019. We focus on the degrees of asymmetry in the plasma density, ion temperature and the magnetic field strength between both sides of the magnetopause, that is, the ratio of the value in the magnetosphere to that in the magnetosheath in order to compute the much more realistic current sheet systems in numerical simulations. To exclude all of the interplanetary disturbance events such as Corotating Interaction Regions (CIRs) and Coronal Mass Ejections (CMEs), we investigate magnetopause crossings under long-lasting southward IMF conditions. GEOTAIL satellite sometimes repeatedly across the magnetopause during each pass due to the oscillating of the magnetopause. The degrees of asymmetry vary even during a single pass. This variation depends on the locus of the observation point, particularly the GSM Y-position, not on the time. The degrees of asymmetry in the plasma density, ion temperature and the magnetic field strength have significant variation in the data. The data points of the degree of asymmetry in the plasma density significantly spread in the duskside, while that in the magnetic field strength further widely spread in the dawnside. The degree of asymmetry in the plasma density and that in the magnetic field strength have fixed negative correlation on a log–log scale.
Graphical Abstract
Conversation for change: engaging older adults as partners in research on gerotechnology
Authors: Bytautas Jessica , Grigorovich Alisa , Carson Judith , Fowler Janet , Goldman Ian , Harris Bessie , Kerr Anne , Marcotte Ashley-Ann , O’Doherty Kieran , Jenkins Amanda , Kirkland Susan , Kontos Pia 
Published: February 2024

AbstractThere is increasing research and public policy investment in the development of technologies to support healthy aging and age-friendly services in Canada. Yet adoption and use of technologies by older adults is limited and rates of abandonment remain high. In response to this, there is growing interest within the field of gerotechnology in fostering greater participation of older adults in research and design. The nature of participation ranges from passive information gathering to more active involvement in research activities, such as those informed by participatory design or participatory action research (PAR). However, participatory approaches are rare with identified barriers including ageism and ableism. This stigma contributes to the limited involvement of older adults in gerotechnology research and design, which in turn reinforces negative stereotypes, such as lack of ability and interest in technology. While the full involvement of older adults in gerotechnology remains rare, the Older Adults’ Active Involvement in Ageing & Technology Research and Development (OA-INVOLVE) project aims to develop models of best practice for engaging older adults in these research projects. In this comment paper, we employ an unconventional, conversational-style format between academic researchers and older adult research contributors to provide new perspectives, understandings, and insights into: (i) motivations to engage in participatory research; (ii) understandings of roles and expectations as research contributors; (iii) challenges encountered in contributing to gerotechnology research; (iv) perceived benefits of participation; and (v) advice for academic researchers.
Exploring stakeholders’ perceived problems associated with the care and support of children and youth with mental ill health in Sweden: a qualitative study
Authors: Helander Malin , Fredriksson Mio , Lohela-Karlsson Malin 
Published: February 2024

Abstract
Background
Care and support for children and youth with mental ill health have become more specialized and are provided by an increasing number of stakeholders. As a result, services are often fragmented, inefficient and unco-ordinated, with negative consequences for the service user and their family. Enhanced collaboration could lead to improved care and support but requires a shared understanding and a joint problem formulation between involved stakeholders to commence. The aim of this study was to explore different stakeholders’ perceived problems associated with delivering care and support to children and youth with mental ill health and to discuss how the perceived problems relate to collaboration.

Methods
A qualitative descriptive study was conducted, using short statements of perceived problems written by stakeholders involved in the care and support of children and youth with mental ill health during an inter-organizational workshop. The 26 stakeholders represented school and student health, primary health care, specialist care, social services, and different service user organizations. Data were collected during February 2020. Inductive content analysis with a summative approach was used when analysing the data.

Results
The perceived problems were summarized in a model consisting of four main categories: Resources and governance; Collaboration and co-ordination; Knowledge and competence; and Stigma and confidence, containing 24 subcategories. These categories and subcategories were distributed over three levels: Societal level, Organizational level and Individual level. The perceived problems were shared on the category level but to some extent varied between stakeholder groups on the subcategory level. The perceived problems were either directly or indirectly related to collaboration.

Conclusions
The perceived problems often acted as barriers to achieving successful collaboration. The problems were distributed on all three levels in the developed model, indicating a complex problem. Even though the perceived problems were shared by stakeholders on an overall level, the findings indicate that the stakeholders did not have a completely shared understanding of the perceived problems, as they tended to focus on aspects most relevant to their own organization or perceptions. The challenge is to find which perceived problems are appropriate for inter-organization problem-solving and which can be solved within individual organizations.
Note on an extended chiral bosons system contextualized in a modified gauge-unfixing formalism
Authors: Ambrósio Gabriella V. , Costa Cleber N. , Alves Paulo R. F. , Neto Jorge Ananias , Thibes Ronaldo 
Published: February 2024

Abstract
We analyze the Hamiltonian structure of an extended chiral bosons theory in which the self-dual constraint is introduced via a control α-parameter. The system has two second-class constraints in the non-critical regime and an additional one in the critical regime. We use a modified gauge-unfixing (GU) formalism to derive a first-class system, disclosing hidden symmetries. To this end, we choose one of the second-class constraints to build a corresponding gauge symmetry generator. The worked out procedure converts second-class variables into first-class ones allowing the lifting of gauge symmetry. Any function of these GU variables will also be invariant. We obtain the GU Hamiltonian and Lagrangian densities in a generalized context containing the Srivastava and Floreanini-Jackiw models as particular cases. Additionally, we observe that the resulting GU Lagrangian presents similarities to the Siegel invariant Lagrangian which is known to be suitable for describing chiral bosons theory with classical gauge invariance, however broken at quantum level. The final results signal a possible equivalence between our invariant Lagrangian obtained from the modified GU formalism and the Siegel invariant Lagrangian, with a distinct gauge symmetry.