bluuebunny/crossref_metadata_2025_split huggingface dataset:
Isometric Projection with Autoencoder
Authors: Ran Ruisheng , Zeng Qianghui , Jiang Xiaopeng , Fang Bin 
Published: December 2022

Abstract
Isometric Projection (IsoP) is a linear dimensionality reduction method, which proviedes the best linear approximation to the true isometric embedding of data. However, IsoP and all its variants only consider the one-way mapping from high-dimensional space to low-dimensional space. The projected low-dimensional data may not “represent” the original sample accurately and effectively. In this paper, based on the structure of linear autoencoder, a new IsoP method called IsoP-AE (Isometric projection with autoencoder) has been proposed. In this method, the conventional projection of IsoP is viewed as the encoding stage, and the decoder is used to reconstruct the original high-dimensional data from the projected low-dimensional data. In this way, our algorithm makes the low-dimensional embedding data “represent” the original data more accurately and effectively. Experiment results on Handwritten Alphadigits, COIL-100, Olivetti Research Laboratory (ORL) and Georgia Tech face datasets show that the proposed IsoP-AE approach provides a better representation of the data and achieves much higher recognition accuracy.
The development of indigenous students' ethnic identity through a STEM curriculum based on Rukai TEK of water
Authors: Kuo Tzu Yu , Sukinarhimi Peresang , Shein Paichi Pat 
Published: December 2022

Abstract
The study took place in an indigenous Rukai community located in Pingtung, Taiwan. Participants included four male and four female upper-grade elementary students. The research uses a "community-based participatory research approach" that empowers local indigenous knowledge holders to formulate and develop education. With their help and guidance, the research team developed a year-long STEM curriculum centered on the Rukai's traditional ecological knowledge (TEK) of water to promote the ethnic identity of indigenous students and to understand its development. The research team identified three stages of the development of ethnic identity: initial, moratorium and achieved stages. The nature of ethnic identity can be described in terms of its “internal construction” and “external manifestation,” which consisted of six dimensions, and findings confirmed that these students developed their internal construction and external manifestation of ethnic identity. The curriculum began with an exploration of the Rukai community and established values and beliefs regarding Rukai. Eventually, the students formed a high level of commitment and sense of belonging and positive evaluation and ethnic attitudes and ethnic behaviors related to the Rukai group. This study hopes to develop, through the course outlined here, a method for students to cultivate a deep understanding of Rukai culture and identity. This understanding plays a vital role in the future continuity of the language, culture and ecological knowledge of their hometown and ethnic group, and in realizing the vision of sustainable nature and culture.
Copernicus for Urban Resilience in Europe
Authors: Chrysoulakis Nektarios , Ludlow David , Mitraka Zina , Somarakis Giorgos , Khan Zaheer , Lauwaet Dirk , Hooyberghs Hans , Feliu Efrén , Navarro Daniel , Feigenwinter Christian , Holsten Anne , Soukup Tomas , Dohr Mario , Marconcini Mattia , Andersen Birgitte Holt 
Published: December 2022

Abstract
A major challenge for the urban community is the exploitation of Earth Observation intelligence in the multidimensional nature of urban sustainability, towards enhancing urban resilience, particularly in relation to the challenges of climate change. Here, we present the ways in which the Horizon2020 funded project CURE synergistically exploited Copernicus Core Services (CCS) to support urban resilience. CURE provides spatially disaggregated environmental intelligence at a local scale, as well as a proof-of-concept that urban planning and management strategies, enhancing the resilience of cities, can be supported by CCS. CURE has developed eleven cross-cutting applications between CCS, reflecting the main urban sustainability dimensions and are relevant to user needs, which were identified based on a strong stakeholders’ engagement. CURE is built on Data and Information Access Services, as a system integrating these cross-cutting applications, capable of supporting downstream services across Europe, enabling its incorporation into operational Copernicus products portfolio in the future.
Extended reality-based therapies for the treatment of anxiety disorders: clinical impact, perceptions of patients and healthcare professionals, and comparison of modalities - a systematic review
Authors: Dhunnoo Pranavsingh , Wetzlmair Lisa-Christin , O'Carroll Veronica 
Published: December 2022

Abstract
Background: Anxiety disorders are among the most common psychiatric conditions and have a rising prevalence. Patients with anxiety disorders can however be deterred from seeking treatment due to associated stigma and medication side effects. Evidence indicates that promising digital health solutions to address those concerns reside in the growing field of extended reality (XR). However, the literature is lacking in investigating how patients and healthcare professionals (HCPs) experience and perceive XR therapies as well as in direct comparisons between XR modalities for anxiety disorder treatment.
Objectives: This systematic review sought to: a) review how XR-based therapies are utilised in clinical practice for anxiety disorder patients; b) investigate the perceptions and experiences of patients and HCPs employing XR-based anxiety disorders therapies; and c) compare the effectiveness of different XR approaches in anxiety disorder treatment.
Methods: A systematic search of the literature was conducted using three databases (CINAHL, APA PsycNet and PubMed). Studies were screened and filtered based on a predetermined inclusion and exclusion criteria. Included studies were appraised for their quality and risk of bias as appropriate.
Results: Four studies fulfilled the inclusion requirements. The majority investigated the use of XR tools for individual therapy and indicated that they can be as effective as traditional methods and assist HCPs in therapeutic tasks. Patients generally experience these modalities as immersive with minimal side effects. It remains unclear whether XR is appropriate in group therapy settings.
Conclusion: XR-based therapies have the potential to positively impact anxiety disorder treatment as potent drug-free alternatives or supplements to traditional therapy and could be considered for remote, individual care. While the XR setup for HCPs require improvement, these tools can be practical and assistive for them. The generalisability of the findings require further research into more conditions within the anxiety disorders group, as well as larger and more representative sample sizes. A potential gap has also been identified in the direct comparison of different XR modalities within the same study.
On the randomness of time ordered quantum measurements
Authors: Almlöf Jonas , Lettner Thomas , Gyger Samuel , Vall-llosera Gemma , Nilsson Tigge , Zwiller Valerie 
Published: December 2022

Abstract

A new method for efficient, high-quality randomness extraction is presented. The method relies on quantum processes such as the emission of single photons and their subsequent detection, where each detection event has an associated detection time. We show that, by utilising the number of possibilities to arrange a timed quantum measurement sequence, the efficiency can be increased many-fold compared to current methods. The method delivers fundamentally uniform randomness and therefore does not need any post processing or de-biasing.
A premature luteinizing hormone surge without elevated progesterone levels has no adverse effect on cumulative live birth rate in patient undergoing a flexible GnRH antagonist protocol: a retrospective study
Authors: Zhang Yangyang , Xu Yang , Yu Jiao , Wang Xi , Xue Qing , Shang Jing , Yang Xiuli , Shan Xuemin 
Published: December 2022

Abstract
Background
A premature luteinizing hormone (LH) surge refers to an endogenous LH peak that occurs before follicle maturation or human chorionic gonadotropin injection in the process of controlled ovarian hyperstimulation. The effect of premature LH surge on pregnancy outcomes in fresh embryo transfer cycles is still controversial. The aim of this study was to explore the effect of a premature LH surge without elevated progesterone levels on the cumulative pregnancy rate (CPR) and cumulative live birth rate (CLBR) of patients during a flexible GnRH antagonist protocol.
Methods
A total of 428 infertile women undergoing IVF/ICSI were recruited for this retrospective study. Only women who either delivered a live infant or had no remaining frozen embryos after a single stimulation cycle were included in the analysis. During the study period, each patient underwent a flexible GnRH antagonist protocol. Women were divided into two groups according to the presence or absence of a premature LH surge. The primary outcome measures were the CPR and CLBR per ovarian stimulation cycle. The secondary outcome measures were the number of oocytes retrieved, fertilization rate, good-quality embryo rate, and clinical pregnancy rate.
Results
Fifty-one women (11.92%) experienced a premature LH surge, and the other 377 (88.08%) women were assigned to the control group. The numbers of oocytes retrieved was significantly greater in the premature LH surge group than in the control group. There was no significant difference between groups in the fertilization rate, good-quality embryo rate, clinical pregnancy rate or live birth rate in the fresh embryo transfer cycle. The primary outcome measures, the CPR and CLBR per ovarian stimulation cycle, were not significantly different between the premature LH surge group and the control group. According to the analysis stratified by ovarian response (normal or high), there were no significant differences in pregnancy outcomes between the groups with and without a premature LH surge.
Conclusions
Our study demonstrated that a transient premature LH surge without progesterone elevation had no adverse effect on the CLBR of patients on a flexible GnRH antagonist protocol. Therefore, a transient LH surge should not be an indicator for cycle cancellation.
Study on Brain Structure Network of Individuals with Different Space Navigation Ability
Authors: Wang Huihui , Yanhai Zhang , Chang Linli , Bai Wanqi , Chi Liyi 
Published: December 2022

Abstract
To explore the differences in brain structure network properties and related characteristic parameters among individuals with different spatial navigation abilities. In this study, we included 50 subjects (25 good navigators and 25 poor navigators) who underwent Magnetic Resonance Imaging (MRI) examination and Santa Barbara Sense of Direction Scale (SBSOD) test. The T-threshold was the number of fibers (FN) between each pair of brain regions. The brain structure network was constructed using the deterministic fiber tracking algorithm and graph theory model. We calculated its small worldness (Sigma, σ), global efficiency (Eg), local efficiency (El), node efficiency, and Hub nodes with GRETNA. We found significant statistical differences between the two groups' spatial navigation abilities, Eg and El. The efficiency of the 16 nodes was statistically significant across all brain regions; the different nodes were found in the core network dominated by the middle temporal lobe and the dilated region consisting of the parietal lobe and frontal lobe. We did not find statistically significant differences in groups of Hub nodes at which information was exchanged and exchanged. Individual network structures with different spatial navigation capabilities have different properties. Based on this approach, we can screen for spatial navigation capabilities and monitor changes in spatial navigation capabilities with age.
Values of real-time three-dimensional left atrial-ventricular volumes in healthy adults
Authors: Sun Fan , Zhu Jing , Zhang Jin , Xie Tian , Guo Feng-Mei 
Published: December 2022

Abstract
Objectives. The purpose of this study was to explore the effects of age and gender on left atrial-ventricular volumetric indices in healthy adults by left atrial-ventricular volume loops (LA-LV V-LOOPs) and provide novel insight into diagnosis and treatment of LA-LV abnormality.
Methods. 57 healthy adults were involved. Transthoracic echocardiography was utilized to obtain conventional left heart function parameters and three-dimensional echocardiography(3DE) images. Then, dynamic heart model (DHM) was used to analyze 3DE images to obtain left atrial-ventricular volumes. Left atrial-ventricular volume loops were established according to left atrial-ventricular volumes after analysis. Morphological characteristics of LA-LV V-LOOPs and volumes of left atrial-ventricular were compared among healthy adults of different age as well as different genders to assess left heart function.
Results. LA-LV V-LOOPs showed an upward shift between the youth group and the middle-age group, as well as between the middle-age group and the old group in the coordinate axis. Left ventricular volume indexes of male group were higher than that of female group at 25% (56.89(IQR66.14-47.43) VS 48.30(IQR57.98-43.14), P=0.051), 50% (42.10(IQR48.56-32.45) VS 33.10(IQR41.50-30.37), P=0.037), 75% (28.18(IQR36.94-24.94) VS 23.89(31.66-21.17), P=0.042) of left ventricular systole.
Conclusion. LA-LV V-LOOPs could intuitively reflect the variety of left atrial-ventricular function by different positions of LA-LV V-LOOPs on the coordinate axis among adults of different ages and sexes.
Modeling pain perception within a Bayesian framework – a novel computational approach to quantify predictive pain processing using quantitative sensory testing
Authors: Drusko Armin , Baumeister David , Christensen Megan Elizabeth McPhee , Sørensen Sebastian Kold , Treede Rolf-Detlef , Powers Albert , Graven-Nielsen Thomas , Tesarz Jonas 
Published: December 2022

Abstract
Pain perception can be studied as an inferential process in which prior information influences the perception of nociceptive input. To date, there are no suitable psychophysical paradigms to measure this at an individual level. We developed a quantitative sensory testing paradigm allowing for quantification of the influence of prior expectations versus current nociceptive input during perception. Using a Pavlovian-learning task, we investigated the influence of prior expectations on the belief about the varying strength of association between a painful electrical cutaneous stimulus and a visual cue in healthy subjects (N = 70). The belief in cue-pain associations was examined with computational modelling using a Hierarchical Gaussian Filter (HGF). Prior weighting estimates in the HGF model were compared with the established measures of conditioned pain modulation (CPM) and temporal summation of pain (TSP) assessed by cuff algometry. Subsequent HGF-modelling and estimation of the influence of prior beliefs on perception showed that 70% of subjects had a higher reliance on nociceptive input during perception of acute pain stimuli, whereas 30% showed a stronger weighting of prior expectations over sensory evidence. There was no association between prior weighting estimates and CPM or TSP. The data demonstrates relevant individual differences in prior weighting and suggests an importance of top-down cognitive processes on pain perception. Our new psychophysical testing paradigm provides a method to identify individuals with traits suggesting greater reliance on prior expectations in pain perception, which may be a risk factor for developing chronic pain and may be differentially responsive to learning-based interventions.
Secondary traumatic stress disorder among healthcare professionals working in high morbidity departments in Saudi Arabia: A cross-sectional survey
Authors: Shalabi Kholood M. , Alshraif Zahra A. , Ismail Rawaa Ismail M. , Almubarak Kheloud 
Published: December 2022

Abstract
Background: The purpose of this study was to evaluate secondary traumatic stress disorder among healthcare professionals (HCPs), particularly physiotherapists working in critical care, neurology, cardiology, pulmonology, and mental health departments in Saudi Arabia. This study highlights the prevalence of burnout and the level of stress endured by HCPs and identifies available preventive mechanisms to alleviate their emotional strain.
Methods: A cross-sectional study was conducted from July 2021 to July 2022 in which healthcare workers, including physiotherapists from the critical care, emergency, neurology, cardiology, pulmonology, and mental health departments, were evaluated. The study collected data to measure secondary traumatic stress disorder among the participants. The Secondary Traumatic Stress Scale (STSS) was administered and analyzed using statistical tests. The prevalence of burnout, induced stress, and secondary traumatic stress were assessed.
Results: A total of 78 healthcare workers were evaluated, of which 25.6% worked in the neurosurgery department and 11.5% work in the critical care and emergency departments. Among the participants, 28.2% worked more than 45 hours per week and 21.8% slept less than 5 hours per day. Of the healthcare workers, 12.8% suffered from severe stress, 52.6% suffered from moderate stress, and 28.2% suffered from mild stress. The three factors of the STSS were measured among the study subjects – the intrusion score (mean = 10.47), avoidance score (mean = 16.18), and arousal score (mean = 11.06) and their means were calculated accordingly.
Conclusion: The study shows the need to implement a wide range of interventional programs to improve communication skills, reduce emotional distress, and implement relaxation activities in healthcare environments.
Stem Cell Treatment and Cerebral Palsy: A Systematic Review and
Meta-Analysis
Authors: Motavaf Mahsa , Dehghan Samaneh , Ghajarzadeh Mahsa , Ebrahimi Narges , Zali Alireza , Safari Saeid , Mirmosayyeb Omid 
Published: December 2022

Objective:
We designed this systematic review and meta-analysis to estimate the pooled efficacy
and safety profile of different types of stem cells in treating patients with cerebral palsy (CP).

Methods:
We systematically searched PubMed, Scopus, EMBASE, Web of Science, Google Scholar, and
also gray literature, including references of the included studies which were published before November
2021. We extracted data regarding the total number of participants, first author, publication year, country
of origin, mean age, cell type, cell dose, cell source, method of transplantation, duration of follow-up,
Gross motor function, Ashworth scale, and adverse events.

Results:
We found 2073 articles by literature search; after deleting duplicates, 1194 remained. Nine articles
remained for meta-analysis. The SMD of GMF-66 score (after-before) treatment was 1.5 (95%
CI:0.7-2.3) (I2 = 89.9%, P < 0.001). The pooled incidence of Gastrointestinal (GI) complications after
transplantation was 21% (95% CI:9-33%) (I2 = 56%, P = 0.08). The pooled incidence of fever after transplantation
was 18 % (95% CI:6-30%) (I2 = 87.9%, P = 0.08 < 0.001)

Conclusion:
The result of this systematic review and meta-analysis show that stem cell therapy in cerebral
palsy has neuroprotective properties from anti-inflammatory and anti-apoptotic activities. Stem cell
therapy seems to be a promising adjunct to traditional therapies for cerebral palsy patients.
Numerical Modelling of the Compressive and Tensile Behavior of Ultra-High Performance Concrete in Beams
Authors: Jabbar Adil M. , Abdul-Husain Zinah A. , Danha Lubna S. 
Published: December 2022

INTRODUCTION
Ultra-high performance concrete (UHPC) differs in its structural behavior from conventional concrete upon loading due to its high compressive and tensile strength, stiffness, toughness, and durability. Therefore, UHPC needs an appropriate constitutive model to simulate its mechanical properties in finite element analysis (FEA).

METHOD
In this study, numerical models were developed to trace the structural behavior of UHPC beams upon loading since beam behavior depends on the constituents' response to compression and tension. New numerical models were formulated to display the stress-strain relationships of UHPC in compression and tension by adopting a new methodology that depended on actual results. The compressive stress-strain relationship consisted of two portions; the ascending one for elastic and strain hardening up to compressive strength and a descending curve for the strain-softening until reaching a strain of 0.0062.

RESULT
A linear tensile stress-strain relation was applied for the elastic tensile behavior up to tensile strength. Then, a tri-linear relationship was applied for the stiffness degradation and crack propagation upon debonding fibers from the concrete matrix until fracture. These numerical models were used in Abaqus software to simulate the UHPC beam behavior.

CONCLUSION
The developed models were verified and approved for beams' behavior upon loading in flexure and shear. The results indicated that the models could predict the UHPC beams' response throughout the entire loading range from the beginning until failure. The verification included bear capacity, deflection, crack pattern, and stress distribution.
Nanoformulation-based Drug Delivery System for Viral Diseases
Authors: Bharti Manisha , Alam Md. Aftab , Koteswara Rao Gudhanti Siva Nago , Sharma Pramod Kumar , Varshney Sandesh 
Published: December 2022

Abstract:
Viral diseases are one of the major causes of mortality worldwide. The emergence of
pandemics because of the COVID virus creates a dire need for an efficient mechanism to combat
the disease. Viruses differ from other pathogenic infections; they render the host immune system
vulnerable. One of the major challenges for developing antivirals is the resistance developed by the
overuse of drugs, which is inevitable as most viral diseases require a large number of doses. Viral
infection detection, prevention, and treatment have significantly benefitted from developing several
innovative technologies in recent years. Nanotechnology has emerged as one of the most promising
technologies because of its capacity to deal with viral infections efficiently and eradicate the
lagging of conventional antiviral drugs. This review briefly presents an overview of the application
of nanotechnology for viral therapy.