Miracle-dz/UniFAR-FTUs huggingface dataset:
Single versus Double Stenting in NSTEMI Patients with Complex Left Main Bifurcation Disease

Background: Among patients with non-ST-segment elevation myocardial infarction (NSTEMI) the presence of a bifurcation left main (LM) disease represents a particular subset graved by both clinical and technical challenges. We sought to assess the long-term outcomes of patients with NSTEMI treated either by single or double stent strategy, having an LM bifurcation culprit lesion. Methods: We retrospectively analyzed the procedural and medical data of consecutive patients referred to our center for NSTEMI due to complex LM bifurcation disease as the culprit lesion, treated using either single or dual stenting (provisional stenting, T or T-and-Protrusion (TAP), Culotte, and Nano-inverted-T (NIT)) techniques between January 2008 and May 2018. Target lesion failure (TLF) was defined as the composite of cardiovascular death, target-vessel myocardial infarction (MI), and clinically driven target lesion revascularization (TLR). Results: Four hundred and forty-five patients (54.1% males, mean age 70.3 ± 12.8 years, mean Syntax score 31.6 ± 6.3) were evaluated. Of these, 155 patients (34.8%) were treated using a single stent while the remaining were treated with a double stent strategy. After a mean follow-up of 37.1 months (IQR 22.1-39.3), TLF rate was 8.7% (n = 39): 5/155 (3.2%) in the crossover group; 10/53 (18.8%) in T/TAP group, 14/89 (15.7%) in the culotte group, and 10/148 (6.7%) in the NIT group of patients. Cardiovascular mortality rate was 2.9% (n = 13) while stent thrombosis was 0.89% (n = 4). On multivariate analysis dyslipidemia, Syntax score > 25, triple vessel disease, additional LM ostial, or LM body lesions and the use of Rotablator, were independent predictors of TLF. Conclusions: Either a single or double stent strategy resulted in low rates of TLF, cardiovascular death, and stent thrombosis in the long-term period in NSTEMI LM patients with contraindications or refusal of surgery. A single stent strategy appeared to have a slightly better outcome compared to a 2-stent strategy.
Effect of mineral phases on the leaching efficiency of Ti slag

ABSTRACT Titanium slag obtained from electric-furnace smelting using ilmenite from Panzhihua contains predominately two phases: anosovite and augite. The mineral phase compositions in titanium slag can have severe effects on the leaching process and leaching efficiency. However, the precise role of the effect of mineral phases on the leaching efficiency is unclear. Here, we demonstrate that the formation of boundaries between mineral phases in titanium slag acts as resistance to slow down the leaching rate of titanium from titanium slag in sulphuric acid. We found the dissolution rate of augite phase was much slower than anosovite phase, and the surface area available for the titanium leaching from titania-rich anosovite phase was reduced due to the coexistence of augite and anosovite phases in titanium slag particles. Our results demonstrate that the formation of boundary structures of anosovite and augite phases is an important factor affecting the leaching efficiency of titanium slag.
Visualization Analysis of Organizational Resilience Research based on CiteSpace from 1990-2022

The world is currently dealing with the aftermath of the coronavirus disease 2019 (COVID-19) pandemic, which has resulted in momentous changes, the likes of which had not been witnessed within the previous century. These adverse events and the resulting uncertainty have posed enormous challenges to organizations, and many are on the verge of collapse. Organizations urgently need to enhance their risk management abilities and capacity to cope with crises, and organizational resilience, as such a tool, has attracted widespread attention in China and abroad. The purpose of this study is to understand the research status and development trend of organizational resilience. In this study, we applied CiteSpace to perform a visual analysis. Searching for topics related to organizational resilience, we retrieved papers published from 1990-2022 in the Web of Science Core database. Second, we constructed an author, institution, and country/region collaboration network to identify the most prolific authors, institutions and countries, respectively. The distribution of core journals determined by journal co-citations, the document co-citation network, and a clustering analysis revealed the research topics and knowledge structure, the author co-citation network revealed which authors were influential, the keyword co-citation network indicated popular research topics, and the keyword bursts highlighted the research fields. This paper analyzes the main contributions of organizational resilience research at the author, institution, and country levels; knowledge sources; interdisciplinary characteristics and research areas in organizational resilience; and direction of future research.
COMPREHENSION OF LINKED LIST DIAGRAMS: THE EFFECTS ON CODE WRITING SKILLS

The use of graphics has a tendency to aid reasoning in program solving by improving novice programmers’ ability to read and write code. This study extends existing work in computer programming on the use of diagrammatic representation for students undertaking the fundamental data structure course (CS2) in Malaysia. Students were tested on comprehension of diagrams followed by the composition of code with respect to the linked list topic. The data was assessed using the inter-rater agreement test and showed a high degree of consistent ratings. Results showed a moderate correlation between students’ ability to analyze list operations in the form of notation and performance on code writing. Students assessed the diagrams differently according to the complexity level. The result can be generalized to conclude that the use of diagrams alone may not fully support reasoning and program solving. However, some types of diagrams are potentially more effective to support code composition and more emphasis should be given to evaluating the effectiveness of diagrams in organizing cues to facilitate novice programmers in program solving. Further investigation on a combination of activities related to comprehension of diagrams, including code reading and explanation prior to code writing, is recommended.
Algebraic solution for three-dimensional TDOA/AOA localisation in multiple-input–multiple-output passive radar

The problem of estimating the location of a single target from time difference of arrival (TDOA) and angle of arrival (AOA) measurements using multi-transmitter multi-receiver passive radar system with widely separated antennas is discussed. A closed-form two-step target position estimator is presented and analysed. Using the measured AOAs, the method is able to resolve the weakness of the TDOA-based methods in estimating the target height. Several weighted least-squares minimisations are employed by the method to produce a location estimate. A weighting matrix in each step is employed to provide a significant improvement in the performance of the algorithm. The Cramer-Rao lower bound (CRLB) for target localisation accuracy is also developed. The proposed estimator is analytically shown to reach the CRLB for Gaussian TDOA and AOA noises at moderate noise level. Simulation studies indicate that the proposed hybrid TDOA/AOA location scheme performs better than any of the other algorithms, especially in the z -direction.
Insurance contract for epidemiological diseases spread

This paper presents the use of actuarial modeling for the spread of epidemiological diseases. Study is done based on a developed actuarial model of SIR infection which describes the transfer dynamics in an insurance contract in a given population. At the initial stage, we satisfied key assumptions and observed that the rate of infection is positively related and the rate of recovery is negatively related to the level premium payment. Hence, we developed a MATLAB program to calculate the minimum adjusted level premium for a hospitalization plan. Furthermore, this study expanded the basic model to eliminate some problems such as the Vector-Host relationship due to unsatisfied assumptions for the real data. It is reasonable to expand the SIR model by including Vector-Host transfer dynamics to find out an actuarial model for Dengue fever. Accordingly the length of an epidemic season for Dengue over the sample period can be estimated. Results demonstrate no impact from Vector-Host in determining the level premium payment and reveal the possibility of introducing an insurance policy for the spread of Dengue fever in Sri Lanka. Further, as a result, difficulties to clearly identify seasonal patterns of other diseases may also be overcome. We suggest the SIRS infection model with delayed differential equations as an appropriate solution to define an actuarial model for a wide range of diseases.
Dynamics of Language Learning Motivation and Emotions: A Parallel-Process Growth Mixture Modeling Approach

The present study adopted a novel parallel-process growth mixture modeling (GMM) technique to research the adaptive interaction between foreign language learners’ learning motivation and emotions, with a view to advancing our understanding of how language learning motivation and emotions (enjoyment and anxiety) adaptively interact with each other over time. The present study, situated in the Chinese English as a foreign language (EFL) learning context, collected learning motivation and emotion data from 176 Chinese EFL learners over a period of two semesters (12 months). The GMM technique adopted in the study identified three developmental profiles of motivation and two of emotions, respectively. The study further distilled salient patterns of motivation–emotion interaction over time, patterns significant for designing and implementing pedagogical interventions for motivation enhancement. The parallel-process GMM technique was also proven to be a useful approach to parsing learner variety and learning heterogeneity, efficiently summarizing the complex, dynamic processes of motivation and emotion development.
On Perpendicular Curve-Based Task Space Trajectory Tracking Control With Incomplete Orientation Constraint

The Incomplete Orientation Constraint (IOC), which does not require a controlled motion constrained by all three spatial directions, exists widely in a lot of robotic tasks. However, the IOC remains a challenge for existing methods, due to the nonlinear structure of the rotation group SO(3). Moreover, the IOCs are time varying in the trajectory tracking problem, which makes it more challenging than the set-point control. To address the IOC problems, we define, identify and prove the closed-form solution of the perpendicular curve in SO(3). Based on the proposed perpendicular curve, we develop a new trajectory tracking controller considering the IOC. Compared with existing methods, the proposed method can achieve faster and more accurate tracking results. Moreover, the proposed method can be applied not only to manipulators with redundancy (including both functional and intrinsic redundancy), but also to manipulators that are non-redundant. Furthermore, it is easier to incorporate a secondary optimization objective into consideration for the intrinsic redundant case, which is difficult for existing methods. The proposed method has been implemented on both simulations and experiments. The numerous simulation and experimental results validate the effectiveness and advantages of the proposed method. Note to Practitioners—The trajectory tracking control with IOC is important and can be applied in a wide spectrum of robotic-assisted manufacturing, e.g. arc-welding, engraving, etc. In this paper, a perpendicular curve-based trajectory tracking method is proposed to consider the IOC automatically. It is no longer necessary to carefully plan a reachable orientation trajectory. Users only need to focus the planning of the tool direction, which is determined by the tasks. In addition, the proposed method can achieve faster and more accurate tracking result. Moreover, it is universal and can be applied to both redundant and non-redundant cases.
The Differential Responses of Coastal Diatoms to Ocean Acidification and Warming: A Comparison Between Thalassiosira sp. and Nitzschia closterium f.minutissima

Marine diatoms are one of the marine phytoplankton functional groups, with high species diversity, playing important roles in the marine food web and carbon sequestration. In order to evaluate the species-specific responses of coastal diatoms to the combined effects of future ocean acidification (OA) and warming on the coastal diatoms, we conducted a semi-continuous incubation on the large centric diatom Thalassiosira sp. (~30 μm) and small pennate diatom Nitzschia closterium f.minutissima (~15 μm). A full factorial combination of two temperature levels (15 and 20°C) and pCO2 (400 and 1,000 ppm) was examined. The results suggest that changes in temperature played a more important role in regulating the physiology of Thalassiosira sp. and N. closterium f.minutissima than CO2. For Thalassiosira sp. , elevated temperature significantly reduced the cellular particulate organic carbon (POC), particulate organic nitrogen (PON), particulate organic phosphate (POP), biogenic silica (BSi), chlorophyll a (Chl a), and protein contents, and the C:N ratio. CO2 only had significant effects on the growth rate and the protein content. However, for the smaller pennate diatom N. closterium f.minutissima, the growth rate, POC production rate, and the C:P ratio significantly increased with an elevated temperature, whereas the cellular POP and BSi contents significantly decreased. CO2 had significant effects on the POC production rate, cellular BSi, POC, and PON contents, the C:P, Si:C, N:P, and Si:P ratios, and sinking rate. The interaction between OA and warming showed mostly antagonistic effects on the physiology of both species. Overall, by comparison between the two species, CO2 played a more significant role in regulating the growth rate and sinking rate of the large centric diatom Thalassiosira sp. , whereas had more significant effects on the elemental compositions of the smaller pennate diatom N. closterium f.minutissima. These results suggest differential sensitivities of different diatom species with different sizes and morphology to the changes in CO2/temperature regimes and their interactions.
A Double-Blind Randomized Trial to Investigate Mechanisms of Antidepressant-Related Dysfunctional Arousal in Depressed or Anxious Youth at Familial Risk for Bipolar Disorder

Antidepressants are standardly used to treat moderate to severe symptoms of depression and/or anxiety in youth but may also be associated with rare but serious psychiatric adverse events such as irritability, agitation, aggression, or suicidal ideation. Adverse events are especially common in youth with a family history of bipolar disorder (BD) who are at heightened risk for dysfunction in neurobiological systems that regulate emotion and arousal. To further understand this phenomenon, this study will examine (a) baseline risk factors associated with dysfunctional arousal in a sample of youth at high-risk for BD treated with or without an antidepressant, (b) whether antidepressant-related changes in arousal are mediated by changes in prefrontal-limbic circuitry, and (c) whether pharmacogenetic factors influence antidepressant-related changes in arousal. High-risk youth (aged 12–17 years with moderate to severe depressive and/or anxiety symptoms and at least one first-degree relative with bipolar I disorder) will be randomized to receive psychotherapy plus escitalopram or psychotherapy plus placebo. Neuroimaging and behavioral measures of arousal will be collected prior to randomization and at 4 weeks. Samples for pharmacogenetic analysis (serum escitalopram concentration, CYP2C19 metabolizer phenotype, and HTR2A and SLC6A4 genotypes) will be collected at 8 weeks. Youth will be followed for up to 16 weeks to assess change in arousal measures.
Generation of TRIM28 Knockout K562 Cells by CRISPR/Cas9 Genome Editing and Characterization of TRIM28-Regulated Gene Expression in Cell Proliferation and Hemoglobin Beta Subunits

TRIM28 is a scaffold protein that interacts with DNA-binding proteins and recruits corepressor complexes to cause gene silencing. TRIM28 contributes to physiological functions such as cell growth and differentiation. In the chronic myeloid leukemia cell line K562, we edited TRIM28 using CRISPR/Cas9 technology, and the complete and partial knockout (KO) cell clones were obtained and confirmed using quantitative droplet digital PCR (ddPCR) technology. The amplicon sequencing demonstrated no off-target effects in our gene editing experiments. The TRIM28 KO cells grew slowly and appeared red, seeming to have a tendency towards erythroid differentiation. To understand how TRIM28 controls K562 cell proliferation and differentiation, transcriptome profiling analysis was performed in wild-type and KO cells to identify TRIM28-regulated genes. Some of the RNAs that encode the proteins regulating the cell cycle were increased (such as p21) or decreased (such as cyclin D2) in TRIM28 KO cell clones; a tumor marker, the MAGE (melanoma antigen) family, which is involved in cell proliferation was reduced. Moreover, we found that knockout of TRIM28 can induce miR-874 expression to downregulate MAGEC2 mRNA via post-transcriptional regulation. The embryonic epsilon-globin gene was significantly increased in TRIM28 KO cell clones through the downregulation of transcription repressor SOX6. Taken together, we provide evidence to demonstrate the regulatory network of TRIM28-mediated cell growth and erythroid differentiation in K562 leukemia cells.
Testing Technology Acceptance Model (TAM) in Malaysian Environment

The main objective of this paper is to test Technology Acceptance Model (TAM) in different environment other than the Western environment. Two hundred and thirty-five participants responded to the questionnaires survey sent to them. Even though culture has been identified to play a role in the acceptance of certain models developed differ from the local culture of a given country, TAM was tested to be a workable model in Malaysian environment. Thus, TAM can be applies in Malaysian environment for organizations, which intend to adopt new information technology applications.
Comparison of Nitrogen Dioxide Predictions During a Pandemic and Non-pandemic Scenario in the City of Madrid using a Convolutional LSTM Network

Traditionally, machine learning technologies with the methods and capabilities available, combined with a geospatial dimension, can perform predictive analyzes of air quality with greater accuracy. However, air pollution is influenced by many external factors, one of which has recently been caused by the restrictions applied to curb the relentless advance of COVID-19. These sudden changes in air quality levels can negatively influence current forecasting models. This work compares air pollution forecasts during a pandemic and non-pandemic period under the same conditions. The ConvLSTM algorithm was applied to predict the concentration of nitrogen dioxide using data from the air quality and meteorological stations in Madrid. The proposed model was applied for two scenarios: pandemic (January–June 2020) and non-pandemic (January–June 2019), each with sub-scenarios based on time granularity (1-h, 12-h, 24-h and 48-h) and combination of features. The Root Mean Square Error was taken as the estimation metric, and the results showed that the proposed method outperformed a reference model, and the feature selection technique significantly improved the overall accuracy.
Factors Associated with Colorectal Polyps in Middle-Aged and Elderly Populations

Colorectal polyps are the precursor lesions of most colorectal cancers. This study aimed to evaluate associations between bone mineral density (BMD), metabolic syndrome (MetS), and gastrointestinal diseases with colorectal polyps in middle-aged and elderly populations. A retrospective cross-sectional study was performed using data from the health examination database of a tertiary medical center in southern Taiwan in 2015. Subjects aged 50 years and older who had been assessed for metabolic factors and had undergone colonoscopy, upper gastrointestinal endoscopy, and dual energy X-ray absorptiometry scan (DEXA) were included. Factors associated with colorectal polyps were evaluated using univariate and multivariate logistic regression. In total, 1515 subjects were included, with mean age 60.1 years. Among them, 710 (46.9%) had colorectal polyps. Multivariate logistic regression analysis showed that high fasting glucose (OR = 1.08, p = 0.001), high triglycerides (OR = 1.02, p = 0.008), high total cholesterol (OR = 1.004, p = 0.009), reflux esophagitis (OR = 1.44, p = 0.002), duodenal polyps (OR = 1.75, p = 0.026), gastric ulcer (OR = 1.38, p = 0.024), duodenal ulcers (OR = 1.45, p = 0.028), osteopenia (OR = 1.48, p = 0.001), and MetS (OR = 1.46, p < 0.001) were independently associated with colorectal polyps. In conclusion, hyperglycemia, hypercholesterolemia, hypertriglyceridemia, MetS, duodenal polyps, gastric and duodenal ulcers, reflux esophagitis, and low BMD are independent risk factors associated with colorectal polyps in the middle-aged and elderly Taiwanese population.
Ion Impregnation Effect of Fe, Cu, Cr-attributed Mordenite on Stearic Acid Cracking

The improvement in the design of mordenite-based catalysts focuses on the present study to fulfill the massive demand for bio-aviation fuel (BAF) as renewable energy. Modification of the mordenite through ionic impregnation of Fe, Cu, and Cr, has supported the mordenite to perform with better efficiency and activity in catalyzing the cracking process of stearic acid. The adjustment on catalytic activity was carried out by simply reacting the catalyst with stearic acid at 190 °C and investigating cracking products with Gas Chromatography-Mass Spectroscopy. The results of the GC-MS test of the cracking product showed the formation of alkane-alkene and aromatic compounds. BAF was selectively obtained (30.27%) when the reaction was catalyzed by FeCuCr/mordenite catalyst. The BAF derived from FeCuCr/mordenite contained hydrocarbons that include xylene, mesitylene, dodecane, tridecane, tetradecane, and pentadecane. However, reduced selectivity was realized (19.85%) when the reaction was catalyzed by nano FeCuCr/mordenite. Its hydrocarbon constituents include benzene, tetradecane, and pentadecane compounds.
Automated design and optimization of rectangular plate sonotrodes for squeeze film levitation

The careful handling of sensitive workpieces is constantly gaining importance in production engineering. Ultrasonic non-contact handling through squeeze film levitation (SFL) is thereby a rather new and promising approach. The required ultrasonic systems consist of well known parts, like an ultrasonic transducer, an ultrasonic horn and a manipulator. As manipulators, either tonpilz sonotrodes are used for small workpieces or rectangular plate sonotrodes for larger workpieces. So far, only very little research has been conducted on the design of the latter. In the paper at hand, an automated design and optimization process for rectangular plate sonotrodes considering the specific demands of the SFL on the mode shape is presented and validated. After summarizing the basics of the squeeze film levitation as well as outlining the existing models and design approaches for the required components, the automation procedure with a simple optimization algorithm is introduced. Following a description of the employed finite element model, the modal assurance criterion (MAC) for the mode-tracking is introduced. Since the objective function of the optimization problem also uses the MAC for the evaluation of the mode shape, the synthesis of an idealized mode vector is described. Finally, the automated design and optimization process is validated through the experimental analysis of an exemplary plate sonotrode. Fabian M. Distel, Gunther Reinhart