Miracle-dz/UniFAR-FTUs huggingface dataset:
An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel

Supplemental Digital Content is available in the text Abstract Background: Breast cancer (BC) is the most common malignant cancer in women. A predictive model is required to predict the 5-year survival in patients with BC (5YSPBC) and improve the treatment quality by increasing their survival rate. However, no reports in literature about apps developed and designed in medical practice to classify the 5YSPBC. This study aimed to build a model to develop an app for an automatically accurate classification of the 5YSPBC. Methods: A total of 1810 patients with BC were recruited in a hospital in Taiwan from the secondary data with codes on 53 characteristic variables that were endorsed by professional staff clerks as of December 31, 2019. Five models (i.e., revolution neural network [CNN], artificial neural network, Naïve Bayes, K-nearest Neighbors Algorithm, and Logistic regression) and 3 tasks (i.e., extraction of feature variables, model comparison in accuracy [ACC] and stability, and app development) were performed to achieve the goal of developing an app to predict the 5YSPBC. The sensitivity, specificity, and receiver operating characteristic curve (area under ROC curve) on models across 2 scenarios of training (70%) and testing (30%) sets were compared. An app predicting the 5YSPBC was developed involving the model estimated parameters for a website assessment. Results: We observed that the 15-variable CNN model yields higher ACC rates (0.87 and 0.86) with area under ROC curves of 0.80 and 0.78 (95% confidence interval 0.78–82 and 0.74–81) based on 1357 training and 540 testing cases an available app for patients predicting the 5YSPBC was successfully developed and demonstrated in this study. Conclusion: The 15-variable CNN model with 38 parameters estimated using CNN for improving the ACC of the 5YSPBC has been particularly demonstrated in Microsoft Excel. An app developed for helping clinicians assess the 5YSPBC in clinical settings is required for application in the future.
Theta low-gamma phase amplitude coupling in the human orbitofrontal cortex increases during a conflict-processing task

Objective. The human orbitofrontal cortex (OFC) is involved in automatic response inhibition and conflict processing, but the mechanism of frequency-specific power changes that control these functions is unknown. Theta and gamma activity have been independently observed in the OFC during conflict processing, while theta–gamma interactions in other brain areas have been noted primarily in studies of memory. Within the OFC, it is possible that theta–gamma phase amplitude coupling (PAC) drives conflict processing. This study aims to characterize the coupled relationship between theta and gamma frequency bands in the OFC during conflict processing using a modified Stroop task. Approach. Eight epilepsy patients implanted with OFC stereotactic electroencephalography electrodes participated in a color-word modified Stroop task. PAC between theta phase and gamma amplitude was assessed to determine the timing and magnitude of neural oscillatory changes. Group analysis was conducted using a non-parametric cluster-permutation t-test on coherence values. Main results. Theta-low gamma (LG) PAC significantly increased in five out of eight patients during successful trials of the incongruent condition compared with the congruent condition. Significant increases in theta-LG PAC were most prominent during cue processing 200–800 ms after cue presentation. On group analysis, trial-averaged mean theta-LG PAC was statistically significantly greater in the incongruent condition compared to the congruent condition (p < 0.001, Cohen’s d = 0.51). Significance. For the first time, we report that OFC theta phase and LG amplitude coupling increases during conflict resolution. Given the delayed onset after cue presentation, OFC theta-LG PAC may contribute to conflict processing after conflict detection and before motor response. This explanation follows the hypothesis that global theta waves modulate local gamma signals. Understanding this relationship within the OFC will help further elucidate the neural mechanisms of human conflict resolution.
Change in diagnosis from the emergency department to hospital discharge in dyspnoeic patients.

INTRODUCTION To improve the outcomes of dyspnoeic patients, it is potentially important to determine the influence of uncertain diagnostic aetiology and to characterise this patient group. A change in diagnosis from emergency department (ED) contact to hospital discharge (i.e., a discordant diagnosis) served as a surrogate measure for an uncertain diagnostic aetiology. This study investigated the association between a change in diagnosis from ED contact to hospital discharge and length of stay (LOS), readmission and mortality in patients whose chief complaint was dyspnoea. The study also characterises the group of patients found to have a discordant diagnosis. METHODS This cohort study was based on data from all ED contacts at Aarhus University Hospital from 1 July 2016 to 30 June 2017. Patients triaged with dyspnoea and subsequently admitted to an inpatient unit were included. RESULTS Concordant contacts had an average LOS of 3.63 days, whereas discordant contacts had an average LOS of 4.65 days; the adjusted relative difference was 1.28 (95% CI: 1.10-1.48). Readmission, whether at seven or 30 days, was not significantly different between the groups. The 30-day mortality was 5% in the concordant and 10% in the discordant group, with an adjusted OR of 2.32 (95% CI: 1.08-4.96). CONCLUSIONS We found an association between a change in diagnosis and longer LOS, and between a change in diagnosis and 30-day mortality. The effort made to achieve diagnostic certainty in the ED may have an impact lasting throughout the entire hospital stay. FUNDING none. TRIAL REGISTRATION not relevant.
Skeleton-Based 3D Reconstruction of As-Built Pipelines from Laser-Scanned Data

Three-dimensional (3D) reconstruction of as-built pipelines has been considered for a wide variety of purposes, including plant operation, maintenance, and expansion of existing facilities. However, the current method of generating 3D models of as-built pipelines from laser-scanner data requires costly and labor-intensive manual processes. The objective of this study is to develop an automated as-built pipeline-modeling method. The proposed approach consists of two functional parts. The first is segmentation of cylindrically formed pipelines based on medial axis approximation and curve skeleton extraction. The second is surface-model generation of cylindrically formed pipelines based on a parametric modeling method. The initial experiment was performed at an operating plant facility to evaluate and validate the proposed method. The preliminary experimental results revealed that the proposed method enables reliable 3D as-built models of pipelines, which could be successfully incorporated into the development of an as-built plant information modeling method and utilized to assist maintenance tasks, such as inspection, repair, replacement, or revamping.
Second year of research project of Croatian Science Foundation on development of new formulations of natural insecticides – DIACROMIXPEST

Cilj ovog preglednog rada je prikazati tijek napredovanja na istraživackom projektu Hrvatske zaklade za znanost pod naslovom „Razvoj formulacija novih prirodnih insekticida na osnovi inertnih prasiva i botanickih insekticida i njihovih kombinacija kao zamjena za sintetske konvencionalne insekticide“ - DIACROMIXPEST IP-11-2013-5570. Na proslogodisnjem seminaru „DDD i ZUPP“, 2015. godine u Moscenickoj Dragi održano je predstavljanje ovog istraživackog projekta gdje su sudionici seminara upoznati s novim istraživanjima prirodnih insekticida koja se provode u Hrvatskoj. Ovim projektom unazad dvije godine istražuju se i razvijaju prirodne formulacije insekticida s ciljem primjene u zastiti uskladistenih poljoprivrednih proizvoda, a uz manje modifikacije i u javnom zdravstvu, komunalnoj higijeni, zastiti biljaka u vegetaciji, veterini te prehrambenoj industriji. Istraživanja razvoja formulacija baziraju se na novoj tehnologiji mijesanja i najprihvatljivijoj kombinaciji prirodnih hrvatskih supstancija razlicitog mehanizma djelovanja na insekte, kao sto su inertna prasiva i biljni ekstrakti. Zbog sinergije fizikalnog i kemijskog mehanizma djelovanja ocekuje se povisena djelotvornost na insekte u odnosu kada su iste supstancije primijenjene same. Pretpostavka je da bi ovako složeni mehanizam djelovanja usporio mogucu pojavu rezistencije, a s obzirom da su sve supstancije u formulacijama prirodnog podrijetla ne bi trebala postojati zabrinutost o stetnim ostatcima insekticida u obrađenoj robi, na povrsinama i u prostoru. U ovom projektu istraživacki tim cine znanstvenici iz Diatom Research and Consulting Inc. iz Kanade (dr. sc. Zlatko Korunic), Hrvatskog geoloskog instituta (prof. dr. sc. Josip Halamic i dr. sc. Ines Galovic), te Poljoprivrednog fakulteta u Osijeku kao nositelja projekta (prof. dr. sc. Vlatka Rozman, prof. dr. sc. Renata Balicevic, doc. dr. sc. Anita Liska, i Pavo Lucic, mag. ing. agr.).
A non-systematic signal-correction error in a commercial multiple-breath washout device significantly impacts outcomes in children and adults

Background: Multiple-breath nitrogen washout is an established and sensitive technique to assess functional residual capacity and ventilation inhomogeneity in the lung. Indirect calculation of nitrogen concentration requires precise calibration and accurate measurement of gas concentrations. Aim: We investigated the accuracy of the carbon dioxide gas concentration used for the indirect calculation of nitrogen concentration in a commercial multiple-breath washout (MBW) device (EasyOne Pro LAB, ndd Medizintechnik AG, Zurich, Switzerland) and its impact on outcomes. Methods: A high-precision calibration gas mixture was used to evaluate sensor output and calculated carbon dioxide concentration. We assessed the impact of a corrected CO2 signal on MBW outcomes in a dataset of healthy children and adults and children with lung disease. Results: The EasyOne device uses a respiratory quotient-based adjustment to correct the measured carbon dioxide signal for potential long-term changes in sensor output. In the majority of measurements (89%), this resulted in an overestimation of expired nitrogen concentrations (range -0.7 to 1.7%), and consequently MBW outcomes. Correction of the CO2 signal reduced the mean (range) cumulative expired volume by 27.1% (-58.1%; 1.0%), functional residual capacity by 11.1% (-21.6%; 1.2%), and lung clearance index by 18.3% (-44.0%; -0.3%). Additionally, within-visit variability was substantially reduced with the corrected signals. Conclusion: Inadequate signal-correction of the measured CO2 concentration in the EasyOne Pro LAB device leads to a non-systematic error in expired nitrogen concentrations and overestimation of test outcomes. Two-point calibration of the CO2 sensor may maintain accurate measurement of gas concentrations and overcome this error.
Comparative effectiveness of COVID-19 vaccination against death and severe disease in an ongoing nationwide mass vaccination campaign

Background: As national COVID-19 mass vaccination campaigns are rolled out, it is important to demonstrate and measure their public health benefit. We aimed to estimate COVID-19 Vaccine Effectiveness (VE) against severe disease and death in the Greek population, for all vaccines in use. Methods: Nationwide active surveillance and vaccination registry data during January-December 2021 were used to estimate VE via quasi-Poisson regression, as one minus the Incidence Rate Ratio, adjusted for age and calendar time. Interaction terms were included to assess VE by age group, against the 'delta' SARS-CoV-2 variant and waning of VE over time. Results: Two doses of BNT162b2, mRNA-1273 or ChAdOx1 nCov-19 vaccines offered very high (>90%) VE against both intubation and death across all age groups, similar against both 'delta' and previous variants, with one-dose Ad26.COV2. S slightly lower. There was some waning over time but VE remained >80% at six months, and three doses increased VE again to near 100%. Vaccination prevented an estimated 19,691 COVID-19 deaths (95% CI: 18,890-20,788) over the study period. Conclusions: All approved vaccines were very highly effective in preventing COVID-19 severe disease and death. Every effort should be made to vaccinate the population with at least two doses, in order to reduce the mortality and morbidity impact of the pandemic.
The reasons why parents choose to transfer students with special educational needs from Irish immersion education

Abstract There have been many instances when parents have been advised by educational professionals against bilingualism or immersion education for their child with special educational needs (SEN). Some parents follow the advice given and decide to use only one language with their child, mainly the majority language of the community. This study investigated the reasons why students with SEN transferred from Irish immersion primary education in the Republic of Ireland. The data presented contains information from a questionnaire completed by a random stratified sample of Irish immersion primary schools (20%, N = 29). It also contains data from semi-structured interviews with the parents of six students with a range of SEN who transferred from this form of education due to their learning difficulties. Questionnaires were analysed using SPSS and the interviews were analysed using thematic analysis. The findings of this study are particularly important, as internationally, the reasons why students with SEN transfer from immersion education is under researched. Furthermore, having an understanding of why these transfers occur will enable Irish immersion education and other forms of immersion education to gain an insight as to how they can adjust their practices in order to better meet the needs of all their students and subsequently, improve their student achievement and retention rates.
Model and Algorithm for Hot Rolling Lot Planning

To the hot rolling lot planning problem arose in production scheduling of iron and steel enterprises, a mathematical model was proposed with the aims of promoting average rolling length of rolling turn and increasing hot charge rate. These two objectives are not with the same priority in practice. A two-stage variable neighborhood search algorithm was designed to solve the problem, and the algorithm solves the problem by optimizing the average rolling length first and optimizing hot charge rate secondly. Simulation using practical data shows the effectiveness of the proposed model and algorithm.
Simulation of Static and Dynamic Stiffness Characteristics of Convex Coil Spring based on MSC.Marc

Taking the PASSAT B5 rear suspension convex coil spring as an example,the static and dynamic characteristics of convex coil spring were simulated.The entity model was built with Pro/E based on Reverse Engineering and then transferred into HyperMesh to be meshed,and the finite element model was ultimately transferred into MSC.Marc for simulation analysis.An experiment was designed to validate the results.The simulated and experimental results proved that remarkable no-linear and dynamic characteristics exist in convex coil spring.A static stiffness fitting formula was proposed and the influence of frequency and pre-load on dynamic stiffness was presented.At last,the influence of pre-load on dynamic stiffness was analyzed in the article.
Mixing Characteristics of Elliptical and Rectangular Subsonic Jets with Swirling Co-flow

Abstract This paper presents a computational analysis of effects of swirling co-flow and non-circular subsonic compressible inner jets on centerline velocity decay, mass entrainment and jet spreading rate. Three different exit shapes of elliptical, rectangular and circular inner jets were compared for three different co-flow conditions such as no co-flow, straight co-flow and swirling co-flow. Co-flow is issuing from a circular annular duct. Swirling co-flow is created in the co-flow duct by introducing a swirler with stationary angular vanes of 50° oblique to the jet axis. Reynolds number of inner jet is calculated based on its equivalent diameter as 200342. It is found that the swirling co-flow has strong influence on the boundary condition of inner jet and alters the major features of the jet such as jet potential core length, centerline velocity decay rate and jet spread rate. Streamwise corner vortices of different jet conditions have been captured using velocity vector plot to show the effect of swirling co-flow on the jet flow field. Swirling co-flow with elliptical inner jet exhibits higher velocity decay rate and jet spreading rate than the equivalent area circular and rectangular jet.
Considerations on support active measures applicable in Romania in the context of the epidemiological situations due to the spread of SARS-CoV-2 coronavirus

Abstract The epidemiological crisis caused by the SARS-CoV-2 virus has led to the need to adapt national legislation to safeguard jobs and to decrease the unemployment rate – realities existing at European and international level – by providing financial facilities to employers and employees. This paper presents and analyses the relevance of the legal rules adopted in this field.
A review of blockchain and cryptocurrency applications in Romania

Abstract Recent technological developments have led to economic changes that have an impact on the macroeconomic and microeconomic levels in developing countries, as well as in developed ones. The introduction of cryptocurrencies (Bitcoin is the first cryptocurrency, made public in 2009) into the economy through blockchain technology, generated a series of benefits, but also significant risks for citizens, companies and states. The main purpose of this article is to present the operating mechanism of the blockchain system and cryptocurrencies, their advantages and disadvantages and the attempts of the international authorities to regulate the crypto market. The authors will present also few case studies of tech start-ups that leveraged the versatility of blockchain principles into viable business propositions. Romania makes no exception in this field, so the authors will analyze and present the current status of this industry.
Romanian family business internationalization: knowledge management and dynamic capabilities

Abstract The key aspects of today’s economic climate are intensified competitiveness and fast-changing global markets. In order to stay competitive, family companies need to respond to these developments and more frequently seek foreign expansion themselves. To understand how organisations should respond to changes in the market to retain a competitive edge, the idea of knowledge management and dynamic capabilities has indeed been developed. Such an environmental transition could be the internationalisation of a family business. The purpose of this research is to examine, through the lens of knowledge management and dynamic capabilities, the internationalisation of family companies. A qualitative single case study model of a family business that has been through an international expansion has been considered, collecting evidence through semi-structured qualitative interviews with three of the company’s key individuals. The study reveals that in the internationalisation process, there are many skills that assist family companies. Sensing technologies include screening capabilities for networks and industries and helping family companies identify new prospects in international markets. Seizing skills provide decision-making and management capabilities and change the capital base to take advantage of the possibilities previously sensed. Finally, family businesses should constantly reconfigure their tools with transforming skills, which consist of entrepreneurial knowledge capabilities, to optimise processes and frameworks in the current international setting. Different facets of family life influence the development of these complex skills.
Digitalization of Coworking Space Services

Abstract Coworking spaces are actors of the entrepreneurial ecosystem with strong social aspect and recognized impact regarding start-up communities. These establishments became frontrunners of increasing work productivity for people working from distance as well. They also make part of the businesses which are directly affected by the pandemic caused by Covid-19 virus. The paper attempts to define a digitalization opportunity of coworking spaces by adapting the business model to the current living conditions with special regards on the services they provide. Beside of identifying the key challenges and edges that the current situation brought, the paper assumes to provide insight information from the point of view of a hub operator and hub members, who decided to preserve their membership. The research includes a literature review of key concepts used within the analyses, followed by the definition of the methodology which covers a study case of a coworking space from a small city located in a developing country. A hybrid approach is included as solution in the paper supported by a business model proposal based on Canvas Business Model. The results of the research are reflecting the needs of a group of entrepreneurs representing micro enterprises, willing to participate in the creative process of business transformation and adaptation. The conclusion chapter summarizes the main findings in the form of recommendations and further alleged questions during the research.
Thermomechanical conversion in high-rate plastic deformation of nanotwinned polycrystalline copper

Abstract Many experiments have shown that plastic deformation of metals generates heat, leading to temperature rise of the material. However, little is known about the underlying factors that govern the heat generation, especially in polycrystalline metals involving high-rate plastic deformation. In this work, the work-to-heat conversion during high-rate plastic deformation of polycrystalline coppers with and without nanotwins is studied using molecular dynamics simulations. The results show that within a certain range of imposed deformation, smaller grain size results in higher plastic work-to-heat conversion, due to larger proportion of grain boundaries. For a given grain size of polycrystalline copper with twins, the portion of plastic work converted to heat increases as the twin-boundary spacing decreases within a certain deformation range. However, at large deformation the plastic work-to-heat conversion coefficient should be analyzed specifically for each individual sample due to the transformation of the deformation mechanism (i.e., the change of the energy storage).
New Flutter Prediction Method Based on ARMA Model. (Part 1). Proposal of New Flutter Prediction Parameter.

A flutter prediction method using a new stability criterion, which is evaluated directly from the coefficients of ARMA model identified from sampled data, is proposed. The method is, therefore, suitable for using with the system identification procedures. The analysis using a two-dimensional wing model shows that the new parameter decreases almost linearly toward zero as the dynamic pressure increases. Moreover, the parameter can be estimated with a small deviation around its true value. As the result of these properties, the proposed method has a good performance for the flutter prediction in comparison with the existing techniques applicable to the discrete-time systems. An analytical consideration reveals that the parameter is approximately equivalent to the flutter margin introduced by Zimmerman and Weissenburger, so that the proposed parameter can be expressed approximately as a quadratic function of dynamic pressure.