bluuebunny/crossref_metadata_2025_split huggingface dataset:
Climacteric symptoms in postoperative patients among endometrial cancer, cervical cancer, and ovarian cancer: a cross-sectional study
Authors: Horiba Yuko , Yoshino Tetsuhiro , Yokota Megumi , Iwata Takashi , Watanabe Kenji , Mimura Masaru , Aoki Daisuke 
Published: May 2022

Abstract
Purpose
To date, no studies have assessed climacteric symptoms after hystero-adnexectomy for endometrial, cervical, or ovarian cancer. Thus, this study aimed to compare climacteric symptoms among patients who underwent surgery for these three cancer types.

Methods
In this cross-sectional study, we interviewed patients who were registered at a menopausal outpatient clinic between January 1999 and July 2016 after undergoing total hysterectomy, intrapelvic only or intrapelvic plus para-aortic lymph node dissection, and bilateral adnexectomy performed via laparotomy as a cancer treatment. Climacteric symptoms were assessed using a patient-reported questionnaire covering core domains with five symptoms only at the initial consultation. Each symptom was graded from 0 (no symptoms) to 3 (severe symptoms). We evaluated the frequency of symptom severity according to the time elapsed since surgery and the cancer type.

Results
The numbers of patients with endometrial, ovarian, and cervical cancer were 328, 90, and 107, respectively. Overall, climacteric symptoms were more severe in patients with cervical cancer than in those with endometrial or ovarian cancer; symptom severity decreased with increasing time since surgery. However, symptom severity did not decrease significantly over time in patients with cervical cancer even after > 5 years had elapsed since surgery.

Conclusion
The climacteric symptoms were less severe in patients with endometrial or ovarian cancer with longer time elapsed since surgery but not in those with cervical cancer. Patients with cervical cancer may require more prompt interventions, including symptomatic treatment and longer follow-up period, than those with endometrial or ovarian cancer.
GRaNN: feature selection with golden ratio-aided neural network for emotion, gender and speaker identification from voice signals
Authors: Garain Avishek , Ray Biswarup , Giampaolo Fabio , Velasquez Juan D. , Singh Pawan Kumar , Sarkar Ram 
Published: May 2022

AbstractCompared to other features of the human body, voice is quite complex and dynamic, in a sense that a speech can be spoken in various languages with different accents and in different emotional states. Recognizing the gender, i.e. male or female from the voice of an individual, is by all accounts a minor errand for human beings. Similar goes for speaker identification if we are well accustomed with the speaker for a long time. Our ears function as the front end, accepting the sound signs which our cerebrum processes and settles on our disposition. Although being trivial for us, it becomes a challenging task to mimic for any computing device. Automatic gender, emotion and speaker identification systems have many applications in surveillance, multimedia technology, robotics and social media. In this paper, we propose a Golden Ratio-aided Neural Network (GRaNN) architecture for the said purposes. As deciding the number of units for each layer in deep NN is a challenging issue, we have done this using the concept of Golden Ratio. Prior to that, an optimal subset of features are selected from the feature vector extracted, common for all three tasks, from spectral images obtained from the input voice signals. We have used a wrapper-filter framework where minimum redundancy maximum relevance selected features are fed to Mayfly algorithm combined with adaptive beta hill climbing (A$$\beta$$
β
HC) algorithm. Our model achieves accuracies of 99.306% and 95.68% for gender identification in RAVDESS and Voice Gender datasets, 95.27% for emotion identification in RAVDESS dataset and 67.172% for speaker identification in RAVDESS dataset. Performance comparison of this model with existing models on the publicly available datasets confirms its superiority over those models. Results also ensure that we have chosen the common feature set meticulously, which works equally well on three different pattern classification tasks. The proposed wrapper-filter framework reduces the feature dimension significantly, thereby lessening the storage requirement and training time. Finally, strategically selecting the number units in each layer in NN help increases the overall performance of all three pattern classification tasks.
Prevalence of incidental intracranial findings on magnetic resonance imaging: a systematic review and meta-analysis
Authors: Sunny Divya Elizabeth , Amoo Michael , Al Breiki Maryam , Teng Elite Dong Wen , Henry Jack , Javadpour Mohsen 
Published: May 2022

Abstract
Background
As the volume and fidelity of magnetic resonance imaging (MRI) of the brain increase, observation of incidental findings may also increase. We performed a systematic review and meta-analysis to determine the prevalence of various incidental findings.

Methods
PubMed/MEDLINE, EMBASE and SCOPUS were searched from inception to May 24, 2021. We identified 6536 citations and included 35 reports of 34 studies, comprising 40,777 participants. A meta-analysis of proportions was performed, and age-stratified estimates for each finding were derived from age-adjusted non-linear models.

Results
Vascular abnormalities were observed in 423/35,706 participants (9.1/1000 scans, 95%CI 5.2–14.2), ranging from 2/1000 scans (95%CI 0–7) in 1-year-olds to 16/1000 scans (95%CI 1–43) in 80-year-olds. Of these, 204/34,306 were aneurysms (3.1/1000 scans, 95%CI 1–6.3), which ranged from 0/1000 scans (95%CI 0–5) at 1 year of age to 6/1000 scans (95%CI 3–9) at 60 years. Neoplastic abnormalities were observed in 456/39,040 participants (11.9/1000 scans, 95%CI 7.5–17.2), ranging from 0.2/1000 scans (95%CI 0–10) in 1-year-olds to 34/1000 scans (95%CI 12–66) in 80-year-olds. Meningiomas were the most common, in 246/38,076 participants (5.3/1000 scans, 95%CI 2.3–9.5), ranging from 0/1000 scans (95%CI 0–2) in 1-year-olds to 17/1000 scans (95%CI 4–37) in 80-year-olds. Chiari malformations were observed in 109/27,408 participants (3.7/1000 scans, 95%CI 1.8–6.3), pineal cysts in 1176/32,170 (9/1000 scans, 95%CI 1.8–21.4) and arachnoid cysts in 414/36,367 (8.5/1000 scans, 95%CI 5.8–11.8).

Conclusion
Incidental findings are common on brain MRI and may result in substantial resource expenditure and patient anxiety but are often of little clinical significance.
Numerical simulation of aquifer thermal energy storage using surface-based geologic modelling and dynamic mesh optimisation
Authors: Regnier G. , Salinas P. , Jacquemyn C. , Jackson M. D. 
Published: May 2022

AbstractAquifer thermal energy storage (ATES) has significant potential to provide largescale seasonal cooling and heating in the built environment, offering a low-carbon alternative to fossil fuels. To deliver safe and sustainable ATES deployments, accurate numerical modelling tools must be used to predict flow and heat transport in the targeted aquifers. This paper presents a simulation methodology for ATES based on surface-based geologic modelling (SBGM) and dynamic mesh optimisation (DMO). DMO has been previously applied in other fields of computational fluid dynamics to reduce the cost of numerical simulations. DMO allows the resolution of the mesh to vary during a simulation to satisfy a user-defined solution precision for selected fields, refining where the solution fields are complex and coarsening elsewhere. SBGM allows accurate representation of complex geological heterogeneity and efficient application of DMO. The paper reports the first systematic convergence study for ATES simulations, and demonstrates the application of these methods in two ATES scenarios: a homogeneous aquifer, and a realistic heterogeneous fluvial aquifer containing meandering, channelised sand bodies separated by mudstones. It is demonstrated that DMO reduces the required number of mesh elements by a factor of up to 22 and simulation time by a factor of up to 15, whilst maintaining the same accuracy as an equivalent fixed mesh. DMO offers significant potential to reduce the computational cost of ATES simulations in both homogeneous and heterogeneous aquifers.
New treatment paradigm with systemic therapy in intermediate-stage hepatocellular carcinoma
Authors: Kudo Masatoshi 
Published: May 2022

AbstractSince the approval of sorafenib for the treatment of unresectable hepatocellular carcinoma in 2007 (in 2009 in Japan), five more regimens have been approved: lenvatinib, and atezolizumab plus bevacizumab for first-line treatment, and regorafenib, cabozantinib, and ramucirumab for second-line treatment, which are currently available for clinical use. The positive results of durvalumab, a programmed cell death ligand 1 antibody, plus tremelimumab, an anti-cytotoxic T-lymphocyte-associated protein 4 antibody, were also presented at the 2022 American Society Clinical Oncology Gastrointestinal Cancers Symposium as superior to sorafenib in prolonging the overall survival; this combination is expected to be approved by the end of 2022. These systemic therapies are changing the treatment paradigm not only for advanced hepatocellular carcinoma but also for intermediate-stage hepatocellular carcinoma. This review focuses on the role of systemic therapy in intermediate-stage hepatocellular carcinoma.
Disutility of injectable therapies in obesity and type 2 diabetes mellitus: general population preferences in the UK, Canada, and China
Authors: McEwan Phil , Baker-Knight James , Ásbjörnsdóttir Björg , Yi Yunni , Fox Aimee , Wyn Robin 
Published: May 2022

Abstract
Introduction
Once-daily and once-weekly injectable glucagon-like peptide-1 receptor agonist therapies (GLP-1 RAs) are established in obesity and type 2 diabetes mellitus (T2DM). In T2DM, both once-daily and once-weekly insulin are expected to be available. This study elicited utilities associated with these treatment regimens from members of the general public in the UK, Canada, and China, to quantify administration-related disutility of more-frequent injectable treatment, and allow economic modelling.

Methods
Two anchor states (no pharmacological treatment), and seven treatment states (daily oral tablet and generic injectable regimens of variable frequency), with identical outcomes were tested A broadly representative sample of the general public in each country participated (excluding individuals with diabetes or pharmacologically treated obesity). An adapted Measurement and Valuation of Health protocol was administered 1:1 in web-enabled interviews by trained moderators: visual analogue scale (VAS) as a “warm-up”, and time trade-off (TTO) using a 20-year time horizon for utility elicitation.

Results
A total of 310 individuals participated. The average disutility of once-daily versus once-weekly GLP-1 RA was − 0.048 in obesity and − 0.033 in T2DM; the corresponding average disutility for insulin was − 0.064. Disutilities were substantially greater in China, relative to UK and Canada.

Discussion
Within obesity and T2DM, more-frequent treatment health states had lower utility. Scores by VAS also followed a logical order. The generated utility values are suitable for use in modelling injectable therapy regimens in obesity and T2DM, due to the use of generic descriptions and assumption of equal efficacy. Future research could examine the reasons for greater administration-related disutility in China.
Population genomics study for the conservation management of the endangered shrub Abeliophyllum distichum
Authors: Lee Jung-Hoon , Ong Homervergel G. , Kim Bo-Yun , Kim Yong-In , Jung Eui-Kwon , Chung Myong Gi , Kim Young-Dong 
Published: May 2022

AbstractNatural monuments are IUCN Category III protected areas that play an important role in biodiversity conservation as they provide species refuge and allow species migration. Despite their status, natural monuments are often confined to cultural and fragmented landscapes due to anthropogenic land-use demands. In this population genomic study, we surveyed 11 populations of the endemic shrub Abeliophyllum distichum Nakai (Oleaceae), including five natural monument habitats, covering its range-wide distribution in South Korea. Using 2,254 SNPs as markers, our results showed a mean expected heterozygosity (He) of 0.319, with populations in the central distribution showing significantly higher He than those at the periphery. There was no significant heterozygote deficiency and inbreeding among studied populations overall (FIS = −0.098), except for a single natural monument population (GS-NM147). Population structure and differentiation was moderate to high (FST = 0.196), while recent gene flow between populations appeared weak, which can be attributed to the fragmented distribution and the outcrossing mating system of the heterostylous plant. Based on these findings, we provide suggestions for the population conservation and management of this endangered species.
Measuring private transfers between generations and gender: an application of national transfer accounts for Austria 2015
Authors: Hammer Bernhard , Prskawetz Alexia 
Published: May 2022

AbstractFew data sources provide information on private transfers between generations and gender. We use a novel approach based on the National Transfer Accounts methodology to estimate the value of intra-family transfers between generations by age, gender and parental status in Austria 2015. The paper considers monetary transfers together with transfers of consumption goods and transfers of services produced by non-market work. Our results show that parents use one third of their disposable income and up to four hours of daily non-market work for their children. The total size of the intra-family transfers corresponds to 38 per cent of primary income.
Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility
Authors: ElRefai Mohamed , Abouelasaad Mohamed , Wiles Benedict M. , Dunn Anthony J. , Coniglio Stefano , Zemkoho Alain B. , Roberts Paul R. 
Published: May 2022

Abstract
Background
A major predictor of eligibility of subcutaneous implantable cardiac defibrillators (S-ICD) is the T:R ratio. The eligibility cut-off of the T:R ratio incorporates a safety margin to accommodate for fluctuations of ECG signal amplitudes. We introduce a deep learning-based tool that accurately measures the degree of T:R ratio fluctuations and explore its role in S-ICD screening.

Methods
Patients were fitted with Holters for 24 h to record their S-ICD vectors. Our tool was used to assess the T:R ratio over the duration of the recordings. Multiple T:R ratio cut-off values were applied, identifying patients at high risk of T-wave oversensing (TWO) at each of the proposed values. The purpose of our study is to identify the ratio that recognises patients at high risk of TWO while not inappropriately excluding true S-ICD candidates.

Results
Thirty-seven patients (age 54.5 + / − 21.3 years, 64.8% male) were recruited. Fourteen patients had heart-failure, 7 hypertrophic cardiomyopathy, 7 had normal hearts, 6 had congenital heart disease, and 3 had prior inappropriate S-ICD shocks due to TWO. 54% of patients passed the screening at a T: R of 1:3. All patients passed the screening at a T: R of 1:1. The only subgroup to wholly pass the screening utilising all the proposed ratios are the participants with normal hearts.

Conclusion
We propose adopting prolonged screening to select patients eligible for S-ICD with low probability of TWO and inappropriate shocks. The appropriate T:R ratio likely lies between 1:3 and 1:1. Further studies are required to identify the optimal screening thresholds.
Analysis of interpenetrating metal ceramic composite structures using an enhanced random sequential absorption microstructure generation algorithm
Authors: Horny Dominik , Schulz Katrin 
Published: May 2022

AbstractIn this paper, we present the analysis of an interpenetrating metal ceramic composite structure. We introduce a new generation algorithm for the modeling of interpenetrating composite microstructures with connected, spherical cavities embedded into an open-porous foam structure. The method uses a geometric ansatz and is designed to create structures of special topology, as the investigated metal ceramic composite structures consisting of a connected AlSi10Mg phase showing spherical shapes embedded into an Al2O3 preform. Based on the introduced enhanced random sequential absorption approach, the generated microstructures yield numerical insights into the material that are not accessible by experimental techniques. The generated microstructures are compared to structures reconstructed from experimental CT scan data considering microstructural features and mechanical behavior. We show that the proposed method is able to generate statistically equivalent microstructures by using only a small number of statistical descriptors. The numerical formulation is validated using compression tests including plastic yielding in the aluminum and damage progression in the ceramic phase. Both the composite material and the pure ceramic preform are considered in this analysis, and good agreement is found between reconstructed and generated microstructures. Furthermore, the observations reveal the importance of the local geometrical sphere arrangement with respect to the mechanical behavior. A validation with experimental results is presented and it is shown that the model predicts microstructural properties and gives meaningful insights into the structural and material interplay. Finally, we discuss the potential of the method for the investigation of failure mechanisms.
A Systematic Review of the Factors Associated with Post-Traumatic Growth in Parents Following Admission of Their Child to the Intensive Care Unit
Authors: O’Toole S. , Suarez C. , Adair P. , McAleese A. , Willis S. , McCormack D. 
Published: May 2022

Abstract
This systematic review aims to identify the demographic, clinical and psychological factors associated with post-traumatic growth (PTG) in parents following their child’s admission to the intensive care unit (ICU). Papers published up to September 2021 were identified following a search of electronic databases (PubMed, Medline, Web of Science, PsycINFO, CINAHL, PTSDpubs and EMBASE). Studies were included if they involved a sample of parents whose children were previously admitted to ICU and reported correlational data. 1777 papers were reviewed. Fourteen studies were eligible for inclusion; four were deemed to be of good methodological quality, two were poor, and the remaining eight studies were fair. Factors associated with PTG were identified. Mothers, and parents of older children, experienced greater PTG. Parents who perceived their child’s illness as more severe had greater PTG. Strong associations were uncovered between PTG and post-traumatic stress, psychological well-being and coping. PTG is commonly experienced by this population. Psychological factors are more commonly associated with PTG in comparison with demographic and clinical factors, suggesting that parents’ subjective ICU experience may be greater associated with PTG than the objective reality.
Static vs dynamic connectivity: how landscape changes affect connectivity predictions in the Iberian Peninsula
Authors: Goicolea Teresa , Mateo-Sánchez M. Cruz 
Published: May 2022

AbstractContextClimate and land-use changes affect species ranges and movements. However, these changes are usually overlooked in connectivity studies, and this could have adverse consequences in the definition of effective management measures.ObjectivesWe evaluated two ways to incorporate landscape dynamics: (i) by analyzing connectivity as a fluctuating phenomenon (i.e., time-varying connectivity); and (ii) by analyzing species movements from past to current ranges (i.e., spatio-temporal connectivity). We also compared these dynamic approaches with traditional static connectivity methods.MethodsWe compared the overall connectivity values and the prioritization of critical habitat patches according to dynamic and static approaches using habitat availability metrics (Probability of Connectivity and Equivalent Connected Area). This comparative research was conducted for species associated with broadleaf forests of the different ecoregions of the Iberian Peninsula. We considered species habitat preferences during movement and a wide range of dispersal abilities to assess functional connectivity.ResultsStatic approaches generated varying overall connectivity values and priority patches depending on the time snapshot considered and different from those generated by dynamic approaches. The two dynamic connectivity approaches resulted in very similar priority conservation patches, indicating their potential to guide enduring conservation measures that enhance connectivity between contemporary habitat patches at multiple time snapshots but also species range shifts in time.ConclusionsConnectivity is affected by landscape changes, and only dynamic approaches can overcome the issues associated with these changes and provide valuable information to guide improved and enduring measures in changing landscapes.
The long non-coding RNA LIMT inhibits metastasis of hepatocellular carcinoma and is suppressed by EGF signaling
Authors: Hu Yu , Li Hao , Zhang Hongwei , Tang Qiang , Zhang Guangtan , Li Xiqing , Xue Fei 
Published: May 2022

Abstract
Background
The long non-coding RNA LIMT (lncRNA inhibiting metastasis) acts as a tumor suppressor factor in some cancers. However, the biological role of LIMT in hepatocellular carcinoma (HCC) has not been explored.

Methods and Results
Quantitative real-time PCR was performed to evaluate the expression of LIMT in HCC tissue. The effects of LIMT on tumor growth and metastasis were assessed by in vitro experiments, including colony formation and transwell assays, and in vivo in nude mouse models. Western blot analysis was used to evaluate the expression levels of proteins associated with epithelial-mesenchymal transition (EMT). LIMT expression was significantly lower in HCC than in normal liver tissue. Functionally, overexpression of LIMT repressed the proliferation, invasion, and EMT of HCC cells, while LIMT knockdown increased proliferation, invasion, and EMT of HCC cells in vitro. Furthermore, LIMT overexpression suppressed HCC growth and metastasis while silencing of LIMT had an opposite effect in vivo. Finally, LIMT overexpression reversed EGF-induced EMT.

Conclusions
Our results suggest that LIMT could play an anti-cancer effect in HCC and might be a potential novel therapeutic target in HCC.