Miracle-dz/UniFAR-FTUs huggingface dataset:
3D-printed models for periacetabular osteotomy surgical planning

Abstract The purpose of this study was to determine the feasibility and clinical benefits of using 3D-printed hemipelvis models for periacetabular osteotomy preoperative planning in the treatment of hip dysplasia. This retrospective study included 28 consecutive cases in 26 patients, with two bilateral cases, who underwent periacetabular osteotomy between January 2017 and February 2020 and had routine radiographs, CT and MR imaging. Of these, 14 cases [mean patient age 30.7 (SD 8.4) years, 11 female] had routine preoperative imaging, and 14 cases [mean patient age 28.0 (SD 8.7) years, 13 female] had routine preoperative imaging and creation of a full-scale 3D-printed hemipelvis model from the CT data. The expected surgical cuts were performed on the 3D-printed models. All patients underwent Bernese periacetabular osteotomy. Operative times, including time to achieve proper acetabular position and total periacetabular osteotomy time, fluoroscopy radiation dose and estimated total blood loss were compiled. ANOVA compared outcome variables between the two patient groups, controlling for possible confounders. On average, patients who had additional preoperative planning using the 3D-printed model had a 5.5-min reduction in time to achieve proper acetabular position and a 14.5-min reduction in total periacetabular osteotomy time; however, these changes were not statistically significant (P = 0.526 and 0.151, respectively). No significant difference was identified in fluoroscopy radiation dose or total blood loss. Detailed surgical planning for periacetabular osteotomy using 3D-printed models is feasible using widely available and affordable technology and shows promise to improve surgical efficiency.
Quantum-chemical description of interactions in the PhNH2/HCCH system in a superbasic medium

The B2PLYP/6-311+G**//B3LYP/6-31+G* approach was applied to study the superbase-activated interaction of aniline molecule with three molecules of acetylene. The mechanism of the new cascade assembly of N-phenyl-2,5-dimethylpyrrole has been investigated and presented. It is shown that the cascade competes with the experimentally observed reaction of acetylene polymerization due to the comparable activation barriers of the rate-determining stages.
Healthcare Providers’ Implementation of Patient-Centred Outcome Measures (PROMs) and Patient-Reported Experience Measures (PREMs) in Practice A Protocol for a Mixed Method Systematic Review

Background: Substantial literature has highlighted the importance of patient-reported outcome and experience measures (PROMs and PREMs, respectively) to collect clinically relevant information to better understand and address what matters to patients. The purpose of this systematic review is to synthesize the evidence about strategies for implementing individual-level PROMs and PREMs data by healthcare providers in their everyday practice.Methods: This mixed method systematic review protocol describes the design of our synthesis of the peer-reviewed research evidence (i.e., qualitative, quantitative, and mixed methods), systematic reviews, organizational implementation projects, expert opinion, and grey literature. Keyword synonyms for “PROMs,” PREMs,” and “implementation” will be used to search eight databases with limiters of English from 2009 to 2019. Study selection criteria includes implementation at the point-of-care by healthcare providers in any practice setting. Eligible studies will be critically appraised using validated tools (e.g., Joanna Briggs Institute). Guided by the review questions, data extraction and synthesis will occur simultaneously to identify biographical information and methodological characteristics as well as classify study findings related to implementation processes and strategies. As part of the narrative synthesis approach, two frameworks will be utilized: (a) Consolidated Framework for Implementation Research (CFIR) to identify influential factors of PROMs and PREMs implementation and (b) Expert Recommendations for Implementing Change (ERIC) to illicit strategies. Data management will be undertaken using NVivo 12TM. Discussion: Data from PROMs and PREMs are critical to adopt a person-centred approach to healthcare. Findings from this review will guide subsequent phases of a larger project that includes interviews and a consensus-building forum with end users to create guidelines for implementing PROMs and PREMs at the point of care. Systematic Review Registration: PROSPERO CRD42020182904
Lecturer self-efficacy beliefs: an integrative review and synthesis of relevant literature

ABSTRACT This article reviews available research literature in the field of lecturer self-efficacy beliefs produced between 1988 and 2020. Given the growing interest in lecturer self-efficacy beliefs in recent years, and the global challenges the Higher Education sector will face following the current Covid-19 pandemic, the time to conduct such a review seems appropriate. Fifty-five empirical papers in English, Spanish and Portuguese were identified and examined. Findings show that papers investigated the beliefs of lecturers from 23 countries using mostly quantitative cross-sectional approaches involving questionnaires. Among the eight main themes that emerged, ‘teaching self-efficacy’ featured prominently and received most attention, while other aspects of the work of lecturers, including research, service-related and other administrative activities, were also considered. Concerning personal variables like gender, there was no consensus over whether different characteristics affected self-efficacy beliefs more than others. Conclusions point to the need for additional mixed-methods and qualitative studies with more refined and contextualised methodological approaches to better understand the field, to identify actual sources of self-efficacy themselves and to more fully inform policy, practice, the distribution of resources and building capacity.
Cryptosporidiosis modulates gut microbiome metabolism and the immune response in an infected host

Background Cryptosporidiosis is a major global human health concern. Despite well-established methods, misdiagnosis remain common. Resulting incorrect clinical prescription often causes anti-microbial resistance development in the patients. Our understanding of the Cryptosporidium infection mechanism remains limited, compounding the difficulty of clinical diagnosis. Multi-omics approach has shown significant potential for addressing this limitation and, biomarker discovery towards rapid and accurate diagnostics. This study investigated the underlying biochemistry of host-microbiome-parasite relationships during infection. Methods C57BL/6J mice were infected with 1 × 105 Cryptosporidium parvum oocysts via oral gavage. Faecal samples were collected daily, while blood, liver tissues and luminal contents of the small and large intestines were collected 10 days post infection. High-resolution liquid chromatography and low-resolution gas chromatography coupled with mass spectrometry were used to analyse the proteomes and metabolomes of faeces, serum, liver, and luminal contents. Faecal samples were additionally subjected to 16S rRNA gene sequencing. Univariate and multivariate statistical analysis were applied to all datasets. Results Host and microbial energy pathways altered during infection. Glycolysis/citrate cycle metabolites, such as malate and lactate, were elevated in the large intestine. Short-chain fatty acids, formate and acetate, increased in the small intestine, while butanoate increased in the caecum-colon. This correlated with an increased abundance of bacteria associated with a stressed host environment, including Lactobacillus (small intestine) and Coriobacteriaceae (throughout the intestine, but more prominently in colon). The expression of host electron transfer flavoprotein, phosphoglycerate kinase and acetyl CoA binding proteins, yeast glyceraldehyde-3-phosphate dehydrogenase, and Lactobacillus glyceraldehyde-3-phosphate dehydrogenase significantly increased in the infected gut. Liver oxalate increase was also seen during infection. Conclusions The microbiome-parasite relationship is more influential than the previously thought host-parasite relationship, in mediating major biochemical changes in the mouse gut during cryptosporidiosis. Defining this parasite-microbiome interaction is the first step towards building a comprehensive cryptosporidiosis model.
Research on the impact of global innovation network on corporate performance

ABSTRACT In this study, we attempted to fill a gap that literature has yet to investigate: the impact of global innovation network on corporate performance. Based on 347 valid questionnaire data, this paper uses regression analysis to explore which innovative network elements have an impact on the performance of Chinese 3D printing companies. The research results show that the structural characteristics of global innovation networks, the willingness of integrating network and the capability of integrating network are all positively correlated with the performance of 3D printing companies. There is no obvious correlation between the scale of the enterprise, the stage of enterprise development and corporate performance. The research conclusions will provide theoretical support for 3D printing companies to formulate global innovation strategies and policies.
From Language Brokering to Digital Brokering: Refugee Settlement in a Smartphone Age

Many young people in migrant families perform language-brokering tasks for their parents to help them overcome their everyday challenges of communicating in a new language. Such informal brokering is typically the result of younger people being more exposed to, and becoming more familiar with, the dominant language of their new country. This article argues that such brokering has a digital equivalent in a migrant setting, in which transnational family communication increasingly relies on a grasp of the dominant “language” of smartphones and social media. Using data drawn from a study of Karen humanitarian migrants who have settled in Australia, younger migrants are shown to have had a greater exposure to, and familiarity with, digital technology than their parents, leading to significant communicative differences between two generations. Such differences, I explain, have created conditions conducive to the performance of a new type of intergenerational support in a migrant context: “digital” brokering. This is demonstrated through young people helping their parents use smartphones, social media, and video-calling apps to maintain transnational relationships after settlement.
Avoiding pitfalls when modeling removal of per‐ and polyfluoroalkyl substances by anion exchange

Per‐ and polyfluoroalkyl substances (PFAS) are receiving a great deal of attention from regulators, water utilities, and the general public. Anion‐exchange resins have shown high capacities for removal of these substances from water, but there is currently a paucity of ion‐exchange treatment models available to evaluate performance. In this work, important theoretical and practical considerations are discussed for modeling PFAS removal from drinking water using gel‐type, strong‐base anion‐exchange resin in batch and column processes. Several important limitations found in the literature preclude movement toward model development, including the use of inappropriate isotherms, inappropriate kinetic assumptions, and experimental conditions that are not relevant to drinking water conditions. Theoretical considerations based on ion‐exchange fundamentals are presented that will be of assistance to future researchers in developing models, designing batch and column experiments, and interpreting results of batch and column experiments.
Event-triggered integral sliding mode fixed time control for trajectory tracking of autonomous underwater vehicle

In this paper, an event-triggered integral sliding mode fixed-time control method for trajectory tracking problem of autonomous underwater vehicle (AUV) with disturbance is investigated. Initially, the global fixed time stability is ensured with conventional periodic sampling method for reference trajectory tracking. By introducing fixed time integral sliding mode manifold, fixed time control strategy is expressed for the AUV, which can effectively eliminate the singularity. Correspondingly, in order to reduce the damage caused by chattering phenomenon, an adaptive fixed-time method is proposed based on the designed continuous integral terminal sliding mode (ITSM) to ensure that the trajectory tracking for AUV is achieved in fixed-time with external disturbance. In order to reduce resource consumption in the process of transmission network, the event-triggered sliding mode control strategy is designed which condition is triggered by an event. Also, Zeno behavior is avoided by proof of theoretical. It is shown that the upper bounds of settling time are only dependent on the parameters of controller. Theoretical analysis and simulation experiment results show that the presented methods can realize the control object.
A Performance Evaluation Method of Load Balancing Capability in SaaS Layer of Cloud Platform

Cloud platform load balancing has become one of the essential elements in modern cloud platform operations. However, there are still some problems in the evaluation methods of cloud platform load balance, such as unreasonable evaluation indexes and lack of comprehensive evaluation methods. This paper first proposes a performance evaluation method of cloud platform load balancing capabilities. This method analyzes the characteristics of the cloud platform and the actual needs of users, designs and proposes a cloud platform load balancing capability evaluation system, quantitatively analyzes and quantifies specific indexes, and uses the Analytic Hierarchy Process to determine the weight of each index. Finally, we deploy and test our method on the OpenStack cloud platform. Experiments show that the evaluation results of the method proposed in this paper are consistent with the actual results, which verifies the feasibility and rationality of the method proposed in this paper.
A review of network topology inference methods

Network topology inference is one of the most critical problems in the field of network awareness, whose goal is to determine the routing topology of a network from end-to-end measurements. Due to the large scale of the network and limited measurements, this problem is very difficult to solve. In the literature, possible solutions can be mainly summarized into two main categories, namely traceroute-based and tomography-based methods respectively. The traceroute-based method uses ICMP/UDP packets to collect the IP information of the routers along the route from the source to the destination. The tomography-based approach only relies on the collected end-to-end measurements and derives the network structure using statistical metrics of the measurements. In this work, we review the available methods in the literature and provide a summary of performing network topology inference.
Trends in Incidence of Adolescent Idiopathic Scoliosis: A Modern US Population-based Study

Background: A successful disease screening strategy requires a high incidence of the condition, efficacy of early treatment, and efficient detection. There is limited population-based data describing trends in incidence of adolescent idiopathic scoliosis (AIS) in the United States and potential role of school screening programs on the incidence of AIS. Thus, we sought to evaluate the incidence of AIS over a 20-year period between 1994 and 2013 using a population-based cohort. Methods: The study population comprised 1782 adolescents (aged 10 to 18 y) with AIS first diagnosed between January 1, 1994 and December 31, 2013. The complete medical records and radiographs were reviewed to confirm diagnosis and coronal Cobb angles at first diagnosis. Age-specific and sex-specific incidence rates were calculated and adjusted to the 2010 United States population. Poisson regression analyses were performed to examine incidence trends by age, sex, and calendar period. Results: The overall age-adjusted and sex-adjusted annual incidence of AIS was 522.5 [95% confidence interval (CI): 498.2, 546.8] per 100,000 person-years. Incidence was about 2-fold higher in females than in males (732.3 vs. 338.8/100,000, P<0.05). The incidence of newly diagnosed AIS cases with radiographs showing a Cobb angle >10 degrees was 181.7 (95% CI: 167.5, 196.0) per 100,000 person-years. The overall incidence of AIS decreased significantly after discontinuation of school screening in 2004 (P<0.001). The incidence of bracing and surgery at initial diagnosis was 16.6 (95% CI: 12.3, 20.9) and 2.0 (95% CI: 0.5, 3.4) per 100,000 person-years, respectively. Conclusions: Overall population-based incidence of AIS decreased after school screening was discontinued. However, incidence of patients with a Cobb angle >10 degrees, initiation of bracing and surgery did not change significantly over time. This provides further data to help determine the role of scoliosis screening. Level of Evidence: Level III.
Early fault diagnosis of rolling bearings based on signal reconstruction through SDD-SVD and FWEO

An approach based on the singular spectrum decomposition (SSD)-singular value decomposition (SVD) and frequency weight energy operator (FWEO) was proposed for early fault diagnosis of rolling bearings. Since the interference of heavy noise in the early stage of bearing fault, SSD could eliminate abundant noise, meanwhile adaptively decompose the nonlinear, non-stationary signals into multiple mono-components which had distinct physical meanings. Subsequently, SVD was adopted for de-noising in every mono-components because the noise was distributed throughout the frequency domain. In the following, signal reconstruction was performed based on the selected mono-components with de-noising. Finally, FWEO was employed for envelop analysis and the early fault diagnosis of the rolling bearing is realized. Two groups of experiment data concerning signals of early bearing fault were investigated to valid the effectiveness of the proposed method, and good fault identification effects were obtained.
Analysis of Relationship Between Ionospheric and Solar Parameters Using Graphical Models

For the investigation of time variations of critical frequency (foF2), solar radiation flux at 10.7 cm wavelength (F10.7 index) and geomagnetic activity index Kp, we use conditional independence graphical models which describe and transparently represent the structure of relationships in the time series. We employ multivariate statistic methods applied to daily observational data obtained from midlatitude ionosondes within the period 1994–2009 (23rd Solar Cycle). It is demonstrated that conditional independence graphical models represent a robust method of multivariate statistical analysis, useful for finding a relation between one of the main ionospheric parameters and space weather conditions. This method appears to be more appropriate than correlation analysis between foF2 and the main geomagnetic and solar indices, especially for long‐term data for which the model characteristics may change or time series can be interrupted. We compare the results obtained by the graphical models method with cross‐correlation analysis. We found that the method is suitable for the analysis of the dependence between foF2 values and time‐shifted F10.7 time series. In particular, we clearly identified +0 day shift in all cases, and +1‐, +2–3‐, and +4–5‐day shifts in European, American, and East Asia sector, respectively. The conditional independence graphs method can be applied even in the case when classical parametric methods are not convenient.
Copper immobilized ferromagnetic nanoparticle triazine dendrimer (FMNP@TD–Cu(II))-catalyzed regioselective synthesis of 1,4-disubstituted 1,2,3-triazoles

A copper immobilized ferromagnetic nanoparticle triazine dendrimer (FMNP@TD–Cu(II)) has been demonstrated for the first time as a recoverable and reusable heterogeneous nanocatalyst in the click synthesis of 1,4-disubstituted 1,2,3-triazoles by a one-pot three component reaction of halides, sodium azides and alkynes under mild conditions. The catalyst is very easy to handle and is environmentally safe and economical. FMNP@TD–Cu(II) was characterized using transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray diffraction (XRD), FT-IR and EDX methods.
Effect of local geometry on magnetic property of nitric oxide on 
Au(110)−(1×2)

We investigate the effect of local geometry and environment on the electronic spin of nitric oxide (NO) on Au(110)-(1 × 2) using scanning tunneling microscopy / spectroscopy, density functional theory, and numerical renormalization group calculations. The molecules adsorb on the bridge or on-top sites, and the Kondo resonance is observed only for the latter. This indicates that the local geometry inﬂuences the spin state of NO on the surface. The Kondo resonance is accompanied by enhanced satellite peaks due to the interplay with vibrational excitation. In addition, we ﬁnd that the Kondo resonance appears as a peak or a dip, depending on the local environment of the molecule. The calculations reveal that the NO / Au(110) system is represented by a two-orbital Anderson model, where the 2 π ∗ orbitals compete for the unpaired electron to host the Kondo resonance. We propose that a subtle interaction between the NO molecules may play a critical role in determining the host of Kondo resonance and, consequently, the spectral shape.
Interlingual Subtitles to Increase High School Students’ Ability in Understanding Explanation Texts

This paper explores the use of interlingual subtitle as a media in teaching reading skill in one of private high schools in Surakarta. This research was initially conducted as the teachers found problems in teaching genres of texts, especially explanation text. Interlingual subtitle which is placed in videos is offered by the researchers as a solution and expected to help students in understanding the content of explanation text. This research uses classroom action research method with two cycles. The objectives of this research are to find out: 1) the implementation of interlingual subtitle in teaching explanation text, and 2) the impacts of interlingual subtitle on students’s achivements. The subjects of this research are 33 students of social science class and 33 students of natural science class. It is found out that interlingual subtitle can be used as a supplementary material in teaching explanation text. Interlingual subtitle has also contributed positively to the increasing scores of the students during the pre-test to the post-test.